Technical Cooperation with the Philippines Department of...

National REDD+ System Philippines

Deutsche Forstservice GmbH

Component 4 implemented

on behalf of Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH

Technical Cooperation with the Philippines

Department of Environment and Natural Resources (DENR)

National REDD+ System Philippines

Component 4:

Forest Land Use Planning and REDD+ Implementation in Selected Areas

PN 12.9022.0-001.00 / VN 81162755

Forest Resources Assessment Database System Application Version 4.1

User Guide

March 2017

Vincent BARROIS, Ralph LENNERTZ

FRA Database System Application V. 4.1 User Guide i

National REDD+ System Philippines Project

Table of Content

Table of Content ........................................................................................................................................ i

Appendices ............................................................................................................................................... ii

Tables ...................................................................................................................................................... iii

Figures ..................................................................................................................................................... iv

Acronyms ................................................................................................................................................. vi

Executive Summary .................................................................................................................................. 1

1. Types of Accounts and Databases ................................................................................................... 2

2. Application Startup and Initialization ................................................................................................. 3

2.1 Login ....................................................................................................................................... 3

2.2 Initialization ............................................................................................................................. 3

3. User Interface ................................................................................................................................... 4

4. Inventories ........................................................................................................................................ 5

4.1 Create New Inventory ............................................................................................................. 5

4.2 Inventory Properties ............................................................................................................... 5

4.3 Activate Inventory ................................................................................................................... 7

4.4 Backup Inventory .................................................................................................................... 7

4.5 Restore Inventory ................................................................................................................... 8

4.6 Delete Inventory ..................................................................................................................... 8

4.7 Export to MS Excel ................................................................................................................. 8

5. Sampling Units .................................................................................................................................. 9

5.1 Sampling Units Tree View ...................................................................................................... 9

5.2 New Sampling Unit ...............................................................................................................10

5.3 Sample Point Information .....................................................................................................11

5.3.1 Sample Point Data ...................................................................................................11

5.3.2 Measurements and Observations at the Sample Point ...........................................12

5.3.3 Observations within a Radius of 25 m Horizontal Distance around the Sample Point ...........................................................................................................13

5.4 Nested Plot Information ........................................................................................................14

5.4.1 Nested Plot Data ......................................................................................................14

5.4.2 Plot Center Data ......................................................................................................15

5.4.3 Litter Data ................................................................................................................16

5.4.4 Lying Dead Wood Data............................................................................................17

5.4.5 Live Trees and Standing Dead Wood Data .............................................................18

5.5 Delete Sampling Unit(s) ........................................................................................................20

5.6 Print Sampling Unit(s) to PDF ..............................................................................................20

FRA Database System Application V. 4.1 User Guide ii


5.7 Print Sketch Map of Live Trees and Standing Dead Wood to PDF ......................................20

5.8 Display the Location of the Sampling Units in GOOGLE Earth ............................................21

6. Teammates .....................................................................................................................................22

7. Common Database .........................................................................................................................23

7.1 Species Database ................................................................................................................23

7.1.1 Referenced Species ................................................................................................24

7.1.2 Unreferenced Species .............................................................................................25

7.1.3 Linking Unreferenced to Referenced Species .........................................................25

7.1.4 Species Occurrence ................................................................................................26

7.2 LGU Database ......................................................................................................................27

7.3 2010 Land and Forest Cover Classes ..................................................................................28

7.4 Terrain Classes ....................................................................................................................29

7.5 Land Classification Classes ..................................................................................................30

7.6 Land Cover Classes .............................................................................................................31

7.7 Forest Type Classes .............................................................................................................32

7.8 Tree Crown Cover Classes ..................................................................................................33

7.9 Global Operations on the Common Database .....................................................................34

7.9.1 Backup Common Database .....................................................................................34

7.9.2 Restore Common Database ....................................................................................34

7.9.3 Update Common Database .....................................................................................34

7.9.4 Restore Default Common Database ........................................................................35

8. Analyses .........................................................................................................................................36

8.1 Analyses Toolbar ..................................................................................................................36

8.2 Scope of Analyses ................................................................................................................37

8.3 Detailed Results ...................................................................................................................38

8.4 Summary Results .................................................................................................................40

8.5 Living Biomass Results ........................................................................................................43

8.6 Species Diversity ..................................................................................................................46

8.7 Species Abundance ..............................................................................................................48

8.8 Statistics ...............................................................................................................................50

8.9 Site Variables........................................................................................................................52

9. References ......................................................................................................................................55

Appendices

Appendix 1: Field Data Forms

Appendix 2: Example of a PDF Report of a Sampling Unit

Appendix 3: Example of a PDF Sketch Map Report of Live Trees and Standing Dead Wood

FRA Database System Application V. 4.1 User Guide iii


Tables Table 1: Inventory Properties ................................................................................................... 6

Table 2: Sample Point Data ...................................................................................................11

Table 3: Measurements and Observations at the Sample Point ...........................................12

Table 4: Observations within a Radius of 25 m around the Sample Point ............................13

Table 5: Nested Plot Data ......................................................................................................15

Table 6: Plot Center Data ......................................................................................................15

Table 7: Litter Data ................................................................................................................16

Table 8: Lying Dead Wood Data............................................................................................17

Table 9: Live Trees and Standing Dead Wood Data .............................................................19

Table 10: Teammates Data .....................................................................................................22

Table 11: Species Data ...........................................................................................................23

FRA Database System Application V. 4.1 User Guide iv


Figures Figure 1: Login Window: Account, Password and Database .................................................... 3

Figure 2: FRA Database System Initialization .......................................................................... 3

Figure 3: Initialization Process Failed ....................................................................................... 3

Figure 4: Application Toolbar .................................................................................................... 4

Figure 5: User Interface ............................................................................................................ 4

Figure 6: Create New Inventory ................................................................................................ 5

Figure 7: Inventory Properties - Sampling Properties ............................................................... 5

Figure 8: Inventory Properties - Authorized LGUs .................................................................... 6

Figure 9: Activate an Inventory ................................................................................................. 7

Figure 10: Backup an Inventory .................................................................................................. 7

Figure 11: Restore an Inventory ................................................................................................. 8

Figure 12: Delete an Inventory .................................................................................................... 8

Figure 13: Export an Inventory to MS Excel ............................................................................... 8

Figure 14: Sampling Unit Management Operations Popup Menu .............................................. 9

Figure 15: New Sampling Unit Menu Item ................................................................................10

Figure 16: Sample Point Information Form ...............................................................................10

Figure 17: Sample Point Data ...................................................................................................11

Figure 18: Measurements and Observations at the Sample Point ...........................................12

Figure 19: Observations within a Radius of 25 m Horizontal Distance around the Sample Point ...........................................................................................................13

Figure 20: Nested Plot Information Form ..................................................................................14

Figure 21: Nested Plot Data ......................................................................................................14

Figure 22: Plot Center Data Section .........................................................................................15

Figure 23: Litter Data ................................................................................................................16

Figure 24: Lying Dead Wood Data............................................................................................17

Figure 25: Live Trees and Standing Dead Wood Data .............................................................19

Figure 26: Sketch Map of Live Trees and Standing Dead Wood .............................................19

Figure 27: Location of Sampling Units shown in GOOGLE Earth ............................................21

Figure 28: Teammates Menu Item ............................................................................................22

Figure 29: Teammates Data Window .......................................................................................22

Figure 30: Species Menu Item ..................................................................................................23

Figure 31: Species Database Window ......................................................................................24

Figure 32: Unreferenced Species Data Window .......................................................................25

Figure 33: Linking Unreferenced to Referenced Species .........................................................25

Figure 34: Species Occurrence Window ..................................................................................26

Figure 35: Species Occurrence in GOOGLE Earth ..................................................................26

Figure 36: LGU Menu Item .......................................................................................................27

Figure 37: LGU Database Window ...........................................................................................27

FRA Database System Application V. 4.1 User Guide v


Figure 38: 2010 Land and Forest Cover Classes Menu Item ...................................................28

Figure 39: 2010 Land and Forest Cover Classes Table ...........................................................28

Figure 40: Terrain Classes Menu Item......................................................................................29

Figure 41: Terrain Classes Table ..............................................................................................29

Figure 42: Land Classification Classes Menu Item ...................................................................30

Figure 43: Land Classification Classes Table ...........................................................................30

Figure 44: Land Cover Classes Menu Item ..............................................................................31

Figure 45: Land Cover Classes Table ......................................................................................31

Figure 46: Forest Type Classes Menu Item ..............................................................................32

Figure 47: Forest Type Classes Table ......................................................................................32

Figure 48: Tree Crown Cover Classes Menu Item ...................................................................33

Figure 49: Tree Crown Cover Classes Table ...........................................................................33

Figure 50: Backup Common Database .....................................................................................34

Figure 51: Restore Common Database ....................................................................................34

Figure 52: Update Common Database .....................................................................................35

Figure 53: Restore Default Common Database ........................................................................35

Figure 54: Analysis Toolbar ......................................................................................................36

Figure 55: Analysis Scope Pane ...............................................................................................37

Figure 56: Detailed Results Menu Item.....................................................................................38

Figure 57: Detailed Results .......................................................................................................38

Figure 58: Summary Results Menu Item ..................................................................................40

Figure 59: Summary Results ....................................................................................................40

Figure 60: Summary Results Displayed as Pie Chart ...............................................................42

Figure 61: Summary Results Displayed as Bar Chart ..............................................................42

Figure 62: Living Biomass Results Menu Item .........................................................................43

Figure 63: Living Biomass Results............................................................................................43

Figure 64: Living Biomass Results Displayed as Pie Chart ......................................................45

Figure 65: Living Biomass Results Displayed as Stacked Bar Chart .......................................45

Figure 66: Species Diversity Results Menu Item ......................................................................46

Figure 67: Species Diversity Results ........................................................................................46

Figure 68: Species Abundance Results Menu Item..................................................................48

Figure 69: Species Abundance Results ....................................................................................48

Figure 70: Statistics Menu Item ................................................................................................50

Figure 71: Statistics...................................................................................................................50

Figure 72: Site Variables Menu Item.........................................................................................52

Figure 73: Simple Cross-Tabulation .........................................................................................52

Figure 74: Cross-Tabulation Combining 2 Classification Criteria .............................................53

Figure 75: Cross-Tabulation Scope Pane .................................................................................54

FRA Database System Application V. 4.1 User Guide vi


Acronyms AGB Above-Ground Biomass

BGB Below-Ground Biomass

BMUB Bundesministerium für Umwelt, Naturschutz, Bau und Reaktorsicherheit (Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety)

C Carbon

DAB Diameter Above Buttress

DBH Diameter at Breast Height

DENR Department of Environment and Natural Resources

DFS Deutsche Forstservice GmbH

DOM Dead Organic Matter

Dref Reference Diameter

DW Dead Wood

d.m. Dry matter

FLUP Forest Land Use Planning

FMB Forest Management Bureau

FRA Forest Resources Assessment

GHG Greenhouse Gas

GIZ Deutsche Gesellschaft für Internationale Zusammenarbeit GmbH

G/ha Basal area per hectare

IPCC Intergovernmental Panel on Climate Change

JDK Java Development Kit

JRE Java Runtime Environment

LB/ha Living Biomass per hectare

LDW Lying Dead Wood

LGU Local Government Unit

NAMRIA National Mapping and Resource Information Authority

N/ha Number of stems per hectare

RDBMS Relational Database Management System

PSGC Philippine Standard Geographic Code

REDD+ Reducing Emissions from Deforestation and forest Degradation, and conservation, sustainable management of forests and enhancement of carbon stocks

SDW Standing Dead Wood

SOM Soil Organic Matter

SU Sampling Unit

SQL Structured Query Language

UNFCCC United Nations Framework Convention on Climate Change

V/ha Merchantable volume per hectare

FRA Database System Application V. 4.1 User Guide 1


Executive Summary The Forest Resources Assessment (FRA) Database System Application has been developed to provide a powerful yet user-friendly tool to store, manage and analyze the data collected in the framework of the forest resources inventories conducted from 2014 until 2016 in the sites of the National REDD+ System Philippines Project in the Visayas and Mindanao selected for forest land use planning (FLUP) and the implementation of REDD+ eligible activities (Borongan City and Maydolong in Eastern Samar, Caraga, Manay and Tarragona in Davao Oriental). The same application has also been used to process the data collected in the framework of the FRA conducted in 2015 in the sites of the Forest and Climate Protection Project Panay - Phase II in Aklan, Antique, Capiz and Iloilo adjacent to the Panay Mountain Range (the inventory covers 38 municipalities). The underlying inventory methodology is described by Lennertz et al. (2017). It is a refinement of the forest carbon baseline study carried out from 2011 until 2012 in Leyte in the framework of the Climate relevant Modernization of Forest Policy and Piloting of Reducing Emissions from Deforestation and Forest Degradation (REDD) Project. It takes into account evolving international standards and good practices with regards to forest carbon stock assessment in compliance with the latest (2006) Intergovernmental Panel on Climate Change (IPCC) guidelines for national greenhouse gas (GHG) inventories. The database architecture used to store and handle the inventory data is described in detail in a separate document by Barrois (2017a). Powered by the leading open source cross-platform relational database management system (RDBMS) software ORACLE MySQL (see https://www.mysql.com) using the popular Structured Query Language (SQL), the FRA Database System Application is programmed using the equally cross-platform ORACLE Java Standard Edition (SE) Development Kit (JDK) (see http://www.oracle.com/ technetwork/java/javase/overview/index.html). The installation of the FRA Database System Application Version 4.1 and of the required free software (ORACLE MySQL Community Server 5.7.17.0 and ORACLE Java Standard Edition (SE) Runtime Environment [JRE] 8 Update 121) under MICROSOFT Windows operating system environments is described step-by-step in a separate installation guide (Barrois 2017b). The present document serves as a guide for administrators and users of Version 4.1 of the application. The subsequent, related and duly cross-referenced chapters provide a comprehensive and illustrated description of the functionalities of the system, covering the following subjects:

Types of accounts and databases (Chapter 1);

Application startup and initialization (Chapter 2);

Overview of the user interface (Chapter 3);

Creation and management of inventories (Chapter 4);

Encoding and management of Sampling Units (Chapter 5) and inventory teammates (Chapter 6);

Consultation and management of referential databases shared by all inventories (Chapter 7);

Analyses of inventories (Chapter 8).

Though currently implemented as standalone application (where the computer acts simultaneously as server and as client using a local database), the FRA Database System Application can easily be upgraded to work in a networked environment with a remote database.



1. Types of Accounts and Databases The FRA Database System Application distinguishes among two types of (password-protected) accounts with distinctive user rights:

User, whose rights are limited to the following operations on existing inventories:

o View and query common database tables (LGU data, tree, bamboo, palm, rattan and tree fern species, teammates);

o Activate, backup and/or export inventories;

o Add, edit and delete inventory data;

o Analyze inventory data;

Administrator, whose rights expand beyond those of a User to the following operations:

o Edit common database tables (LGU data, tree, bamboo, palm, rattan, tree fern species, teammates, all used classification systems: terrain, land classification, 2010 NAMRIA land and forest cover, land cover, forest type and tree crown cover classes);

o Create and/or restore inventories and/or change their properties.

In the following, operations requiring Administrator rights are shown in italics. The database is divided into two distinct sections: the common database and the inventory databases. The common database contains all the tables and static entries that are used for the configuration, classification and referencing of the inventories and inventory data, more specifically:

The inventory properties;

The tree, bamboo, palm, rattan and tree fern species data (botanical and official common names, botanical families, plant types), including the wood specific gravity of the trees;

The geographical-political subdivisions (names of Barangays, Cities and Municipalities, Provinces and Regions) following the Philippine Standard Geographic Code (PSGC);

All used classification systems (terrain, land classification, the land cover according to the 2010 NAMRIA land cover map, forest type and tree crown cover classes);

The Philippine regional volume equations for Dipterocarps and Non-Dipterocarps (DENR 2014);

The allometric equations for the biomass estimation as described in the estimation design (Lennertz et al. 2017);

The global gridded layer of the environmental variable E measuring stress prepared by Chave et al. (2014), required for the above-ground biomass (AGB) estimation.

The inventory databases (one per inventory) contain all the data observed and measured by the inventories, more specifically:

The Sample Point data;

The associated nested plots data;

The list of inventory teammates;

The trees and Standing Dead Wood (SDW) data;

The Lying Dead Wood (LDW) data.

Currently, the FRA Database System Application works in standalone modus only, where the computer acts simultaneously as server and as client using a local database. However, the application can easily be upgraded to work in a networked environment with a remote database.



2. Application Startup and Initialization To start the FRA Database System Application, double-click on the icon on the desktop or launch the application from the MS Windows Start menu.

2.1 Login

Choose the type of Account from the drop down list (User or Administrator) (see Figure 1). Enter the appropriate Password. Choose the Database (Local database; the connection to a remote database in a networked environment has not been implemented yet).

Click the Connection button to proceed. The application will initialize (see Figure 2).

Figure 1: Login Window: Account, Password and Database

Figure 2: FRA Database System Initialization

2.2 Initialization

During the first start of the FRA Database System Application, or if a problem occurs during initialization (corrupted data), the system halts and a popup window appears (see Figure 3). The

application contains a default common database that will be automatically restored. Click the OK

button to proceed; the default common database is restored and the application restarts.

Figure 3: Initialization Process Failed



3. User Interface The main functionalities of the application, grouped into four categories (File, Data, Analysis and Help), are accessible from the application menu on top of the application window. The application toolbar (see Figure 4) right below provides quick access to the following functionalities:

Figure 4: Application Toolbar

Save all editing made in the database;

With Administrator rights, create a new inventory (see Chapter 4.1);

Create a new Sampling Unit (see Chapter 5.2);

Open a window to see (with Administrator rights to edit) the inventory teammates (see Chapter 0);

Open a window to query (with Administrator rights to edit) the tree, bamboo, palm, rattan, tree fern species names and related information (see Chapter 7.1);

Perform an analysis to calculate detailed results (see Chapter 8.3);

Perform an analysis to calculate summary results (see Chapter 8.4);

Perform an analysis to calculate detailed living biomass results (see Chapter 8.5);

Perform an analysis to calculate detailed species diversity results (see Chapter 8.6);

Perform an analysis to calculate detailed species abundance results (see Chapter 8.7);

Calculate detailed statistical parameters of the analyses (see Chapter 8.8);

Perform a frequency distribution analysis of the site variables (see Chapter 8.9).

The user interface is divided into three window panes (see Figure 5):

The BROWSER pane to the left shows the list of inventories and the sampling units;

The CONTENT pane up right is used to display or edit data;

The CONSOLE pane down right is used for communication and reports. It notably shows the windows currently open in the CONTENT pane.

The panes can be resized with the mouse when the cursor changes to a two-headed arrow.

Figure 5: User Interface



4. Inventories The Inventories browser tab displays a tree view with all available inventories.

Double-click on one inventory to activate it (to open the inventory properties) or right-click on one inventory to access from a popup menu the management operations (such as: Activate, Properties, Backup inventory, Restore inventory, Delete inventory, Export to Excel).

4.1 Create New Inventory

Select the « File > Inventories > Create new » item in the application menu (see Figure 6) or use the

button in the application toolbar. The inventory properties appear in the content pane (see Figure 7). Fill in the inventory properties (see Chapter 4.2) and click the Apply button to proceed.

The inventory database will be created and initialized. Click the save button to make the editing permanent. The inventory must be activated to work on it (see Chapter 4.3).

Figure 6: Create New Inventory

4.2 Inventory Properties

The inventory properties define all the inventory parameters; the inventory code and database name must be unique.

Figure 7: Inventory Properties - Sampling Properties



The Sampling properties tab (see Figure 7) contains the sub-plot radii values according to the

inventory design.

The Authorized LGUs tab (see Figure 8) defines all the allowed LGUs for the inventory, to expedite

the encoding by limiting the drop down lists of LGUs to those effectively covered by the inventory. The

selection should proceed from the Regions ( ) through the Provinces ( ) to the Cities ( ) and

Municipalities ( ).The column "Active" defines if an LGU is active ( ) or not ( ). The filtering field allows context-sensitive filtering of the LGUs. The search field helps to find LGUs by their names or national codes. Once an inventory is created, it is no longer possible to edit the database name.

Figure 8: Inventory Properties - Authorized LGUs

Table 1: Inventory Properties

Field Description Format

Code Inventory code, used in the Inventories tree view Character string – Mandatory

Description Inventory description, used in the PDF reports Character string – Mandatory

Database name Name of the associated MySQL database Only alphabetic or numeric characters – Mandatory

Sampling properties

Trees < 20 cm

Plot radius (m)

Circular plot radius (m) for the sampling of trees with a Dref < 20 cm, used for data value range checks and the estimation of per hectare values

Float value – Mandatory

Trees ≥ 20 cm

Plot radius (m)

Circular plot radius (m) for the sampling of trees with a Dref ≥ 20 cm, used for data value range checks and the estimation of per hectare values





Lying Dead Wood

Plot radius (m)

Circular plot radius (m) for the sampling of lying dead wood, used for the estimation of per hectare values


Standing Dead Wood

Plot radius (m)

Circular plot radius (m) for the sampling of standing dead wood, used for data value range checks and the estimation of per hectare values


Tree Fern

Plot radius (m)

Circular plot radius (m) for the sampling of tree ferns, used for data value range checks and the estimation of per hectare values


Authorized LGUs

Description LGU name Non editable field

Active Status of LGU Yes (available) or No

Type Type of LGU (Region, Province, Municipality or City) Non editable field

Parent Name of parent LGU Non editable field

4.3 Activate Inventory

All data editing (such as adding a new sampling unit, editing the data of a sampling unit, deleting a sampling unit) and analysis operations are performed on the active inventory. Only one inventory can be active at a time. Select the « File > Inventories > "inventory name" > Activate » item in the

application menu, or use the right-click popup menu directly in the Inventories tree-view (see Figure

9) to activate a specific inventory. The application restarts and loads all encoded sampling units of the active inventory.

Figure 9: Activate an Inventory

4.4 Backup Inventory

Select the « File > Inventories > "inventory name" > Backup inventory » item in the application

menu, or use the right-click popup menu directly in the Inventories tree-view (see Figure 10) to

create a backup copy of a specific inventory. The application prompts to select or enter a backup file name (the default file name extension is « .bck »), and creates the backup with the inventory table structure and content in the chosen subdirectory. While encoding inventory data, it is wise to regularly create and archive backup copies on external storage media, reflecting in the file name the inventory name and the date of the backup creation.

Figure 10: Backup an Inventory



4.5 Restore Inventory

Select the « File > Inventories > "inventory name" > Restore inventory » item in the application


restore the data of a specific inventory from a backup file. The application warns that the data of the inventory to be restored will be deleted and replaced with the data of the backup file, prompts to select a backup file, and imports the data from the selected backup file into the inventory to be restored.

Figure 11: Restore an Inventory

4.6 Delete Inventory

Select the « File > Inventories > "inventory name" > Delete inventory » item in the application

menu, or use the right-click popup menu directly in the Inventories tree-view (see Figure 12) to delete

a specific inventory. The deletion is irreversible.

Figure 12: Delete an Inventory

4.7 Export to MS Excel

Select the « File > Inventories > "inventory name" > Export to Excel » item in the application


export the inventory data and the associated common database data into a MICROSOFT Excel workbook. The application prompts to select or enter a workbook file name.

Figure 13: Export an Inventory to MS Excel



5. Sampling Units The Sampling Units browser tab displays a tree view with all available sampling units (SUs) of the

active inventory. Double-click on one SU to open its properties or right-click on one SU to access from a popup menu the management operations (such as the sample point or nested plots properties, nested plot sketch, print sampling unit data or nested plot sketch to PDF, detailed results, summary results, living biomass results, species diversity, species abundance, statistics, frequency distribution of site variables or delete sampling unit[s]; see Figure 14).

Figure 14: Sampling Unit Management Operations Popup Menu

5.1 Sampling Units Tree View

The Sampling Units tree view displays all available SUs of the active inventory. By default, the SUs

are sorted alphabetically. An icon in front of the SU displays the integrity status of the SU data:

Integrity check passed;

Integrity check failed (due to missing or incoherent data).

The Sampling Units browser tab features a toolbar with buttons offering the following options:

to display the SUs grouped by Provinces;

to display the SUs grouped by Cities and/or Municipalities;

to create a GOOGLE Earth .kml file with the location of the SUs (if installed, GOOGLE Earth starts automatically);

a search field to filter the SUs by a specific tree, bamboo, palm, rattan and tree fern species

name; pressing the Enter key or clicking the button activates the filter, clicking the

button deactivates the filter.

Pressing the Ctrl key allows to extend the selection to several SUs.



5.2 New Sampling Unit

Select the « File > New Sampling Unit » item in the application menu (see Figure 15) or use the button in the application toolbar to create a new (empty) SU.

Figure 15: New Sampling Unit Menu Item An empty sample point window appears in the content pane (see Figure 16), with five separate forms

accessible through toolbar icons on the left side of the sample point window to enter or edit the

sample point information (see Chapter 5.3) and the North, East, South and West nested plot information (see Chapter 5.4), respectively. To become permanent, any entries or editing must be confirmed by clicking the Apply button near the lower right corner of the content pane. Alternatively, entries or editing may be discarded by clicking the

Discard changes button near the lower right corner of the sample point window or by closing the

window.

Prior to quitting the application, click the save button to make the editing permanent.

Figure 16: Sample Point Information Form



5.3 Sample Point Information

The sample point information form is divided into three sections:

The sample point data (see Chapter 5.3.1);

The measurements and observations at the sample point (see Chapter 5.3.2);

The observations within a radius of 25 m horizontal distance around the sample point (see Chapter 5.3.3).

5.3.1 Sample Point Data

The sample point data section (see Figure 17) contains the data pertaining to the sample point recorded in the upper part of the first of three field data forms (see Appendix 1). Table 2 provides a detailed description of the data items.

Figure 17: Sample Point Data

Table 2: Sample Point Data


Sample point No.

The sample point number, composed of a 3-digits Province code (the PSGC without the leading "PH-"), "M" for measurement or C for control (re-measurement), and a unique 4-digits sample point offset

8 characters string following the rule:

[A-Z] [A-Z] [A-Z][MC][0-9] [0-9] [0-9] [0-9] – Mandatory

Target coordinates Target UTM coordinates of the sample point

Zone: 50, 51 or 52

Northing and easting in m

Mandatory

Soil organic matter SOM in t C/ha Float value

Land or forest cover 2010

2010 land or forest cover class

Drop-down list with 2010 land or forest cover classes according to the NAMRIA classification (see Chapter 7.3) – Mandatory

Region Name of the Region Drop-down list with the Regions according to the PSGC (see Chapter 0) – Mandatory

Province Name of the Province Drop-down list with the Provinces according to the PSGC (see Chapter 0) – Mandatory

Municipality Name of the City or Municipality Drop-down list with the Municipalities and Cities according to the PSGC (see Chapter 0) – Mandatory




Barangay Name of the Barangay

Drop-down list with the Barangays according to the PSGC (see Chapter 0)

Only available when the Municipality is selected

Mandatory

Date Date of observations and measurements Date format dd-mm-yy – Mandatory

Team leader Name of the inventory team leader Drop-down list with the names of the teammates (see Chapter 0) – Mandatory

Assistant Name of the inventory assistant Drop-down list with the names of the teammates (see Chapter 0) – Mandatory

Helper 1 Name of the first helper Character string

Helper 2 Name of the second helper Character string

Helper 3 Name of the third helper Character string

5.3.2 Measurements and Observations at the Sample Point

The measurements and observations at the sample point section (see Figure 18) contains the data recorded at the sample point in the middle part of the first of three field data forms (see Appendix 1). Table 3 provides a detailed description of the data items.

Figure 18: Measurements and Observations at the Sample Point

Table 3: Measurements and Observations at the Sample Point


Actual coordinates Actual UTM coordinates of the sample point

Zone: 50, 51 or 52

Northing and Easting in m

Mandatory

Elevation Elevation above sea level, in m, at the sample point Positive integer value – Mandatory

Slope Slope, in %, at the sample point Positive integer value – Mandatory

Slope orientation Slope orientation, in °, at the Sample Point Integer between 0 and 359 – Mandatory

Terrain Terrain class at the sample point Drop-down list filled with terrain classes (see Chapter 7.4) – Mandatory

Land classification Land classification class at the sample point Drop-down list filled with land classification classes (see Chapter 7.5) – Mandatory



5.3.3 Observations within a Radius of 25 m Horizontal Distance around the Sample Point

The observations within a radius of 25 m horizontal distance around the sample point section (see Figure 19) contains the data recorded around the sample point in the lower part of the first of three field data forms (see Appendix 1). Table 4 provides a detailed description of the data items.

Figure 19: Observations within a Radius of 25 m Horizontal Distance around the Sample Point

Table 4: Observations within a Radius of 25 m around the Sample Point


Land cover Land cover class Drop-down list filled with land covers classes (see Chapter 7.6) – Mandatory

Forest type Forest type class Drop-down list filled with forest types classes (see Chapter 7.7) – Mandatory

Tree crown cover Tree crown cover class Drop-down list filled with tree crown cover classes (see Chapter 7.8) – Mandatory



5.4 Nested Plot Information

To enter or edit the data of a specific nested plot, click on the corresponding toolbar icon on the left

side of the sample point window ( for North, for East, for South or for West) to open the related nested plot information form (see Figure 20). The nested plot information form is divided into five sections:

The nested plot data (see Chapter 5.4.1);

The plot center data (see Chapter 5.4.2);

The litter data (see Chapter 5.4.3);

The lying dead wood data (see Chapter 0);

The trees and standing dead wood data (see Chapter 5.4.5).

The sample point information remains always visible, the other forms are selectable through tabs.

Figure 20: Nested Plot Information Form

5.4.1 Nested Plot Data

The nested plot data section (see Figure 21) contains the data recorded for the nested plot in the upper part of the second of three field data forms (see Appendix 1). Table 5 provides a detailed description of the data items.

Figure 21: Nested Plot Data



Table 5: Nested Plot Data


Date Date of observations and measurements Date format dd-mm-yy – Mandatory

Municipality Name of the City or Municipality Drop-down list with the Municipalities and Cities according to the PSGC (see Chapter 7.2) – Mandatory

Barangay Name of the Barangay

Drop-down list with the Barangays according to the PSGC (see Chapter 7.2)

Only available when the Municipality is selected

Mandatory

Team leader Name of the inventory team leader Drop-down list with the names of the teammates (see Chapter 7.2) – Mandatory

Assistant Name of the inventory assistant Drop-down list with the names of the teammates (see Chapter 7.2) – Mandatory

5.4.2 Plot Center Data

The Plot center data section (see Figure 22) contains the data collected at and around the nested

plot center, recorded in the middle part of the second of three field data forms (see Appendix 1). Table 6 provides a detailed description of the data items.

Figure 22: Plot Center Data Section

Table 6: Plot Center Data


Re-located If relocated, the cardinal direction of relocation, else <No> Drop-down list – Mandatory

Actual coordinates Actual UTM coordinates of the plot center

Zone: 50, 51 or 52

Northing and Easting in m

Mandatory

Elevation Elevation above sea level, in m, at the plot center Positive integer value – Mandatory

Slope Slope, in %, at the nested plot center Positive integer value – Mandatory

Slope orientation Slope orientation, in °, at the plot center Integer between 0 and 359 – Mandatory




Terrain Terrain class at the plot center Drop-down list filled with terrain classes (see Chapter 7.4) – Mandatory

Land classification Land classification class at the plot center Drop-down list filled with land classification classes (see Chapter 7.5)– Mandatory

Land cover Land cover class within a radius of 10 m around the plot center

Drop-down list filled with land cover classes (see Chapter 7.6) – Mandatory

Forest type Forest type class within a radius of 10 m around the plot center

Drop-down list filled with forest type classes (see Chapter 7.7) – Mandatory

Tree crown cover Tree crown cover class within a radius of 10 m around the plot center

Drop-down list filled with tree crown cover classes (see Chapter 7.8) – Mandatory

Plant diversity Number of distinct plant species within a radius of 5 m around the plot center

0 or positive integer value – Mandatory

Grass, Herbs, Mosses < 50 cm

Ground coverage class of grass, herbs and mosses (height < 50 cm) within a radius of 5 m around the plot center

Drop-down list filled with ground coverage classes – Mandatory

Plants 50 cm – 130 cm

Ground coverage class of plants (50 cm ≤ height < 130 cm) within a radius of 5 m around the plot center


Plants 130 cm – 200 cm

Ground coverage class of plants (130 cm ≤ height < 200 cm) within a radius of 5 m around the plot center


Plants 2.0 m – 4.0 m Ground coverage class of plants (2.0 m ≤ height < 4.0 m) within a radius of 5 m around the plot center


Plants 4.0 m – 10.0 m Ground coverage class of plants (4.0 m ≤ height < 10.0 m) within a radius of 5 m around the plot center


Plants > 10.0 m Ground coverage class of plants (height > 10.0 m) within a radius of 5 m around the plot center


5.4.3 Litter Data

The Litter data section (see Figure 23) contains the data assessed in the 5 m radius sub-plot

pertaining to the litter, recorded in the middle part of the second of three field data forms (see Appendix 1). Table 7 provides a detailed description of the data items.

Figure 23: Litter Data

Table 7: Litter Data


Ground coverage Ground coverage of the litter, in %, assessed within a 5 m radius around the plot center

Integer between 0 and 100 – Mandatory

Average depth Average depth of the litter, in cm, assessed within a 5 m radius around the plot center

0 or positive integer value – Mandatory



5.4.4 Lying Dead Wood Data

The Lying Dead Wood data section (see Figure 24) contains the data collected in the 5 m radius sub-

plot pertaining to the lying dead wood, recorded in the lower part of the second of three field data forms (see Appendix 1). Table 8 provides a detailed description of the data items.

On the top of the window, the Lying dead wood section features a toolbar with buttons offering the

following options:

To add a new lying dead wood item;

To delete the selected lying dead wood item;

To move upwards the selected lying dead wood item;

To move downwards the selected lying dead wood item;

To rebuild the index (numbering) of the lying dead wood items;

To export all lying dead wood items to a CSV file (the default file name extension is « .CSV »; such files can be opened for instance with MS Excel).

The lying dead wood items are automatically numbered as they are entered. In front of the number, an icon display the integrity status of the data:


Integrity check failed; clicking on the integrity check icon displays a popup window with more information about the error;

Integrity check warning; clicking on the integrity check icon displays a popup window with two

options: Ignore to ignore the warning, changing the status to passed, and Close to maintain

the warning.

Apart from the index, the lying dead wood items can be entered or edited directly in the data table.

Figure 24: Lying Dead Wood Data

Table 8: Lying Dead Wood Data


# Index of the lying dead wood item Defined by the system, use the icon to rebuild the index / numbering

Mid-Diameter (cm) Mid-diameter, in cm Float value – Mandatory

Length (m) Length, in m Float value – Mandatory



5.4.5 Live Trees and Standing Dead Wood Data

The Live trees, standing dead wood data section (see Figure 25) contains the data pertaining to the

sampled live trees and standing dead wood recorded on the third of three field data forms (see Appendix 1). Table 9 provides a detailed description of the data items.

On the top of the window, the Live trees, standing dead wood data section features a toolbar with

buttons offering the following options:

To add a new live tree or standing dead wood item;

To delete the selected live tree or standing dead wood item;

To move upwards the selected live tree or standing dead wood item;

To move downwards the selected live tree or standing dead wood item;

To rebuild the index (numbering) of the live tree and standing dead wood items;

To export all live tree and standing dead wood items to a CSV file (the default file name extension is « .CSV »; such files can be opened for instance with MS Excel);

To open a window showing a sketch map of the live trees and standing dead wood within a nested plot, helpful for control- or re-measurements, see Figure 26).

The live trees and standing dead wood items are automatically numbered as they are entered. In front of the number, an icon display the integrity status of the data:


Integrity check failed; clicking on the integrity check icon displays a popup window with more information about the error;

Integrity check warning; clicking on the integrity check icon displays a popup window with two

options: Ignore to ignore the warning, changing the status to passed, and Close to maintain

the warning. Apart from the index, the live trees and standing dead wood items can be entered or edited directly in the data table. Names of referenced tree, bamboo, palm, rattan and tree fern species may be entered with the assistance of the species database (see Chapter 7.1). The species reference table can be looked-up:

quickly by typing into the species name field the first characters of the official common name (the drop-down lists shortens to the entries corresponding to the entered expression), or

comprehensively by querying and/or filtering the species reference table for official common or

scientific names after clicking the search button .

Referenced species1 are prefixed with the icon; unreferenced species with the icon. Linking of unreferenced species to referenced species (e.g. after their identification, after completion of the species database, or to delete duplicates and revert to a uniform spelling of a given species) is explained in Chapter 7.1.2.

1 A "referenced" species is a species contained in the common database with complete information about its

official common name, scientific name, plant type, botanical family and wood specific gravity. "Unreferenced" species are species only identified through their local names, stored in the inventory database.



Figure 25: Live Trees and Standing Dead Wood Data

Table 9: Live Trees and Standing Dead Wood Data


# Index of the Live Tree or Standing Dead Wood item Defined by system, use the icon to rebuild the index / numbering

Species name Species name

Drop down list filled with species names from the species database (see Chapter 7.1), or name of an unreferenced species – Mandatory

Azimuth (°) Azimuth measured from the plot center, in° Integer between 0 and 359 – Mandatory

Hor. Distance (m) Horizontal distance from the plot center, in m Float value – Mandatory

DBH / DAB (cm) Diameter at breast height / above buttress, in cm Float value – Mandatory

M. Height (m) Merchantable height, in m Float value

Est. M. Height (m) Estimated merchantable height, in m Float value

State Status of tree Live or Dead – Mandatory

Figure 26: Sketch Map of Live Trees and Standing Dead Wood



5.5 Delete Sampling Unit(s)

Sampling unit(s) can be deleted:

One at a time or several (if selected) from the Sampling Units tree view pane (see

Chapter 5.1) by selecting the « Delete Sampling Unit(s) » option from the popup menu (see Figure 14) opened through a right click; or

One at a time from the sample point information form (see Chapter 5.3) by clicking the Delete button near the lower left corner of the window (see Figure 16).

5.6 Print Sampling Unit(s) to PDF

Sampling unit(s) can be printed to PDF:

One at a time or several (if selected) from the Sampling Units tree view pane (see

Chapter 5.1) by selecting the « Delete Sampling Unit(s) » option from the popup menu (see Figure 14) opened through a right click; or

one at a time from the sample point information form (see Chapter 5.3) by clicking the

Print as PDF button near the lower left corner of the window (see Figure 16).

If installed, the PDF viewer (e.g. ADOBE Reader) starts automatically. The layout of the PDF reports (an example is shown in Appendix 2) is very similar to the one of the field data forms (see Appendix 1), in order to facilitate the visual comparison of the field and encoded data. Data items which failed to pass the integrity checks are highlighted in red color, those with integrity check warnings are highlighted in orange color.

5.7 Print Sketch Map of Live Trees and Standing Dead Wood to PDF

A sketch map showing the location of the live trees and standing dead wood within each of the four nested plots per SU, followed by four tables with the corresponding live tree and standing dead wood

data, can be printed to PDF from the Sampling Units tree view pane (see Chapter 5.1) by selecting

the « Print nested plots sketch » option from the popup menu (see Figure 14) opened through a right click on a SU. If installed, the PDF viewer (e.g. ADOBE Reader) starts automatically. An example of such a sketch map, useful for control and re-measurements, is shown in Appendix 3.



5.8 Display the Location of the Sampling Units in GOOGLE Earth

From the Sampling Units tree view pane (see Chapter 5.1), click on the button to create a

GOOGLE Earth .kml file with the location of the SUs. If installed, GOOGLE Earth starts automatically and displays the location of the SUs (see Figure 27).

Figure 27: Location of Sampling Units shown in GOOGLE Earth



6. Teammates Select the « Data > Teammates » item in the application menu (see Figure 28) or use the button in the application toolbar to open a window displaying the inventory teammates.

Figure 28: Teammates Menu Item The teammates data window (see Figure 29) opens and shows the list of all referenced teammates. Table 10 provides a detailed description of the data items.

Figure 29: Teammates Data Window

Table 10: Teammates Data


Last Name Last name of the teammate Character string – Mandatory

First Name Teammates First name of the teammate Character string – Mandatory

Code Code of the teammate Unique character string – Mandatory

With Administrator rights, the editing of teammates data can be done directly in the table. On the top of the window, a toolbar with buttons offers the following options:

To add a new teammate;

To delete the selected teammate;

To export all teammate data to a CSV file (the default file name extension is « .CSV »; such files can be opened for instance with MS Excel).

Click the Apply and buttons to save any modifications.



7. Common Database The common database contains referential entries used for the configuration, classification and referencing of the inventories and inventory data (see Chapter 1). It can only be updated, restored or edited with Administrator rights. Users may backup the common database and query (but not edit) selected tables, notably with the data pertaining to the tree, bamboo, palm, rattan and tree fern species, and to the LGUs.

7.1 Species Database

Select the « Data > Species » item in the application menu (see Figure 30) or use the button in the toolbar to open a window displaying the tree, bamboo, palm, rattan and tree fern species names and related information.

Figure 30: Species Menu Item The species database window (see Figure 31) opens and shows the list of the referenced species1. Table 11 provides a detailed description of the data items.

Table 11: Species Data


Vernacular name Official common name of the species Character string – Mandatory

Latin name Scientific name of the species (genus + species + author) Character string – Mandatory

Type Plant type (tree, bamboo, palm, rattan, tree fern) Drop-down list – Mandatory

Botanical family Name of the botanical family Drop down list filled from botanical family table – Mandatory

Gravity Wood specific gravity, in gr/cm³ Float value

G. Src Source of wood specific gravity

Integer between 1 and 3:

1 = Zanne et al. (2009)

2 = Reyes et al. (1992)

3 = average wood specific gravity for tropical tree species in Asia of 0.57 gr/cm³ according to Brown (1997)



Figure 31: Species Database Window

7.1.1 Referenced Species

By default, the species are sorted alphabetically by their vernacular name. The sorting key and the sorting order can be changed by clicking on the table column header icons:

To select the sorting key;

To arrange the rows in ascending order;

To arrange the rows in descending order.

The filtering field in the toolbar on the top of the window allows to filter the species table by plant type (all types, bamboos, palms, rattan, trees or tree ferns). A search field allows to filter the species table

by a specific name or expression of at least three characters (pressing the Enter key or clicking the

button activates the filter, clicking the button deactivates the filter). On the top of the window, a toolbar with buttons offers the following options:

To print all species data to a PDF file; if installed, the PDF viewer (e.g. ADOBE Reader) starts automatically;

To export all species data to a CSV file (the default file name extension is « .CSV »; such files can be opened for instance with MS Excel).

With Administrator rights, the editing of referenced species data can be done directly in the table. On the top of the window, the toolbar features additional buttons with the following options:

To add a new referenced species;

To delete the selected referenced species;




7.1.2 Unreferenced Species

Select the "Unreferenced" entry from the filtering field in the toolbar on the top of the window (see Figure 32) to display the list of unreferenced species1. The list of unreferenced species is compiled from the active inventory. When a species referred to in the inventory (typically by its local name only) is not stored in the species database, its vernacular name is added to the list of unreferenced species (multiple entries with the same vernacular name are grouped).

Figure 32: Unreferenced Species Data Window

7.1.3 Linking Unreferenced to Referenced Species

Once the official common name, the scientific name, the plant type, the botanical family and, for trees, the wood specific gravity of an unreferenced species have been determined and the corresponding

data encoded into the species database, clicking on the link button to its left opens a specimen search window in the referenced species database (see Figure 33) where the corresponding species

may be selected and linked with the unreferenced species by clicking the select button. All concerned live trees and standing dead wood in the active inventory will be updated, replacing the name of the unreferenced species with the name of the linked referenced species.

Figure 33: Linking Unreferenced to Referenced Species



7.1.4 Species Occurrence

Clicking in the species database window to the left of a species on the occurrence button produces a list of all the occurrences of that species in the active inventory, providing the code of the nested plot, the UTM coordinates of the plot center, the scientific and the vernacular name of the species, and the measured DBH or DAB (see Figure 34).

Clicking the button in the toolbar creates a GOOGLE Earth .kml file with the location of the SUs. If installed, GOOGLE Earth starts automatically and displays the location of the SUs (see Figure 35).

Figure 34: Species Occurrence Window

Figure 35: Species Occurrence in GOOGLE Earth



7.2 LGU Database

Select one of the « Data > Local Government Units > … » items (Regions, Provinces, Cities or Municipalities, Barangays or Syntheses) in the application menu (see Figure 36) to open a window displaying the LGU names and related information, The LGU database window (see Figure 37) opens and shows the list of the LGUs, following the PSGC as of December 31st, 2016. On the top of the window, a toolbar with buttons offers the following features:

To switch to the table with the Regions;

To switch to the table with the Provinces;

To switch to the table with the Cities;

To switch to the table with the Municipalities;

To switch to the table with the Barangays;

A filtering field to filter the LGU table by LGUs of the next higher category;

A search filed to filter by a specific name or expression of at least three characters (clicking the

button activates the filter, clicking the button deactivates the filter).

With Administrator rights, the editing of LGU data can be done directly in the table. Click the Apply

and buttons to save any modification. Adding and/or deleting LGUs is not permitted.

Figure 36: LGU Menu Item

Figure 37: LGU Database Window



7.3 2010 Land and Forest Cover Classes

With Administrator rights, select the « Data > 2010 Land / Forest Cover » item in the application menu (see Figure 38) to open a window displaying the land and forest cover classes according to the NAMRIA classification. The 2010 land and forest cover classes table (see Figure 39) opens and shows the list of the corresponding classes. The editing of the 2010 land and forest cover classes data can be done directly in the table. On the top of the window, a toolbar with buttons offers the following options:

To add a new class;

To delete the selected class;

To export all 2010 land and forest cover classes to a CSV file (the default file name extension is « .CSV »; such files can be opened for instance with MS Excel).


Figure 38: 2010 Land and Forest Cover Classes Menu Item

Figure 39: 2010 Land and Forest Cover Classes Table



7.4 Terrain Classes

With Administrator rights, select the « Data > Terrain » item in the application menu (see Figure 40) to open a window displaying the terrain classes. The terrain classes table (see Figure 41) opens and shows the list of the corresponding classes. The editing of the terrain classes data can be done directly in the table. On the top of the window, a toolbar with buttons offers the following options:

To add a new class;


To export all terrain classes to a CSV file (the default file name extension is « .CSV »; such files can be opened for instance with MS Excel).


Figure 40: Terrain Classes Menu Item

Figure 41: Terrain Classes Table



7.5 Land Classification Classes

With Administrator rights, select the « Data > Land classification » item in the application menu (see Figure 42) to open a window displaying the land classification classes. The land classification classes table (see Figure 43) opens and shows the list of the corresponding classes. The editing of the land classification classes data can be done directly in the table. On the top of the window, a toolbar with buttons offers the following options:

To add a new class;


To export all land classification classes to a CSV file (the default file name extension is « .CSV »; such files can be opened for instance with MS Excel).


Figure 42: Land Classification Classes Menu Item

Figure 43: Land Classification Classes Table



7.6 Land Cover Classes

With Administrator rights, select the « Data > Land Cover » item in the application menu (see Figure 44) to open a window displaying the land cover classes. The land cover classes table (see Figure 45) opens and shows the list of the corresponding classes. The editing of the land cover classes data can be done directly in the table. On the top of the window, a toolbar with buttons offers the following options:

To add a new class;


To export all land cover classes to a CSV file (the default file name extension is « .CSV »; such files can be opened for instance with MS Excel).


Figure 44: Land Cover Classes Menu Item

Figure 45: Land Cover Classes Table



7.7 Forest Type Classes

With Administrator rights, select the « Data > Forest Type » item in the application menu (see Figure 46) to open a window displaying the forest type classes. The forest type classes table (see Figure 47) opens and shows the list of the corresponding classes. The editing of the forest type classes data can be done directly in the table. On the top of the window, a toolbar with buttons offers the following options:

To add a new class;


To export all forest type classes to a CSV file (the default file name extension is « .CSV »; such files can be opened for instance with MS Excel).


Figure 46: Forest Type Classes Menu Item

Figure 47: Forest Type Classes Table



7.8 Tree Crown Cover Classes

With Administrator rights, select the « Data > Tree Crown Cover » item in the application menu (see Figure 48) to open a window displaying the tree crown cover classes. The tree crown cover classes table (see Figure 49) opens and shows the list of the corresponding classes. The editing of the tree crown cover classes data can be done directly in the table. On the top of the window, a toolbar with buttons offers the following options:

To add a new class;


To export all tree crown cover classes to a CSV file (the default file name extension is « .CSV »; such files can be opened for instance with MS Excel).


Figure 48: Tree Crown Cover Classes Menu Item

Figure 49: Tree Crown Cover Classes Table



7.9 Global Operations on the Common Database

7.9.1 Backup Common Database

Select the « Help > Backup common database » item in the application menu (see Figure 50) to create a backup copy of the common database. The application prompts to select or enter a backup file name (the default file name extension is « .cmn »), and creates the backup with the complete common database table structure and content in the chosen subdirectory.

Figure 50: Backup Common Database

7.9.2 Restore Common Database

Select the « Help > Restore common database » item in the application menu (see Figure 51) to restore the common database from a backup file. The application warns that the current common database will be deleted and replaced with the content of the backup file, prompts to select a backup file name, and replaces the current common database with the one from the backup. Caution: Prior to restoring the common database, backups of all inventories should be created to be able to restore these inventories if needed.

Figure 51: Restore Common Database

7.9.3 Update Common Database

Select the « Help > Update common database » item in the application menu (see Figure 52) to update the common database from a backup file. Updating is different from restoring: Instead of replacing the current common database, updating merges the current common database with eventual new entries found in the backup file (while duplicate entries will be ignored). Updating is typically used to merge species references that have been added to the common database on another site where the FRA Database System application is being used. The application warns that the current common database will be updated with entries of the common database of the backup file, prompts to select a backup file name, and completes the common database with eventual new entries from the backup.



Caution: Prior to updating the common database, backups of all inventories should be created to be able to restore these inventories if needed.

Figure 52: Update Common Database

7.9.4 Restore Default Common Database

Select the « Help > Restore default common database » item in the application menu (see Figure 53) to update the common database from a backup file. Restoring the default common database is typically resorted to if the FRA Database System application malfunctions. The current common database will be replaced with the default common database (the last good known configuration that comes embedded in the FRA Database System installation package). Caution: Prior to updating the common database, backups of all inventories should be created to be able to restore these inventories if needed.

Figure 53: Restore Default Common Database



8. Analyses The analysis framework provides seven types of analyses of the active inventory:

Detailed results (see Chapter 8.3);

Summary results (see Chapter 8.4);

Living biomass results (see Chapter 8.5);

Species diversity results (see Chapter 8.6);

Species abundance results (see Chapter 8.7);

Statistics (see Chapter 8.8);

Site variables (see Chapter 8.9).

A context-sensitive toolbar (see Chapter 8.1) provides quick access to a range of options and functionalities without having to quit the analysis framework. All analyses are dynamically calculated in real-time from the detailed inventory database entries. By default, the calculations are based on the complete set of measurements and observations of the active inventory, excluding the data from the re-measured control SUs. Chapter 8.2 explains how to modify the scope of the analyses.

8.1 Analyses Toolbar

The context-sensitive analyses toolbar (see Figure 54) provides quick access to the following options and functionalities without having to quit the analysis framework:

Figure 54: Analysis Toolbar

Print the results of the current analysis to a PDF file; if installed, the PDF viewer (e.g. ADOBE Reader) starts automatically;

Copy the current selection (default is the current window or tab) to the clipboard (from where it can be pasted into other software, notably MS Excel);

Export the content of the current window to a CSV file (the default file name extension is « .CSV »; such files can be opened for instance with MS Excel);

Display and/or modify the scope of the calculations (see Chapter 8.2 and Chapter 8.9;

Change the calculation method of the above-ground biomass (AGB): Chave et al. (2014) or FAO (Brown 1997);

Change the type of analysis;

Change the type of species name: official common or scientific name;

Select the variable to be shown in the charts: number of stems per hectare (N/ha), basal area per hectare (G/ha), merchantable volume per hectare (V/ha) or biomass per hectare (AGB/ha, BGB/ha or LB/ha).



8.2 Scope of Analyses

By default, the scope of an analysis encompasses all the SUs (except the re-measured [control] SUs) of the active inventory. For all types of analyses except site variables (see Chapter 8.9 for the extended scope of frequency distribution analyses), the scope may be defined (see Figure 55) by setting filters based on Sample Point properties:

type of SU: measurement or re-measurement;

Region;

Province;

Municipality;

2010 land and forest cover according to NAMRIA;

Land cover based on the field observations;

Forest type based on the field observations;

Tree crown cover based on the field observations.

Alternatively, the scope may be defined arbitrarily, by setting and/or deleting checkmarks in front of the SUs to be included in the calculations one by one. Short-cuts help to select all SUs or none. According to the defined scope, the results are updated in real-time. The scope pane (which may be

shown or hidden by clicking the icon) displays the number of SUs and the number of different tree, bamboo, palm, rattan and tree fern species (including unreferenced species1 and undetermined species; species richness [see Chapter 8.6] does not include unreferenced species) in the current selection, the filter settings and the selected SUs (not selected SUs appear without checkmarks in grey font).

Figure 55: Analysis Scope Pane



8.3 Detailed Results

Select the « Analysis > Detailed results » item in the application menu (see Figure 56), use the button in the application toolbar (see Figure 4) or select the "Detailed results" type of analysis in the analysis toolbar (see Figure 54) to open a window displaying the detailed results in an array of tables (see Figure 57).

Figure 56: Detailed Results Menu Item

…..

Figure 57: Detailed Results



The array of tables (the third dimension [diameter classes] is accessible through tabs) provides the following results (as far as applicable to a specific carbon pool):

Number of stems per hectare (N/ha);

Basal area per hectare (G/ha), in m²/ha;

Merchantable volume per hectare (V/ha), in m³/ha, calculated using the Philippine regional volume equations for dipterocarps and non-dipterocarps (DENR 2014);

Above-ground biomass per hectare (AGB/ha), in t d.m./ha, calculated for live trees using (based on the AGB estimation method selected by the user in the analysis toolbar):

o the equation developed by Chave et al. (2014), or

o the equation developed by Brown (1997);

Below-ground biomass per hectare (BGB/ha), in t d.m./ha;

Living biomass per hectare (LB/ha), in t d.m./ha and in t C/ha;

Dead organic matter per hectare (DOM/ha), in t d.m./ha and in t C/ha;

Soil organic matter per hectare (SOM/ha), in t C/ha;

Total forest carbon stock per hectare, in t C/ha.

The results are disaggregated as follows:

For live trees by species (displayed using the official common or the scientific names) and 11 diameter classes;

For standing dead wood (SDW) and lying dead wood (LDW) by 11 diameter classes;

For dead organic matter (DOM) by standing dead wood (SDW), lying dead wood (LDW) and litter (Li).

The rows of the tables can be sorted by clicking on the table column header icons:




Once the results are displayed to the liking of the user, remember that they can - with the buttons of the analysis toolbar (see Figure 54) - notably be:

Printed to a PDF file;

Copied to the clipboard and pasted into another software, notably MS Excel;

Exported to a CSV file.



8.4 Summary Results

Select the « Analysis > Summary results » item in the application menu (see Figure 58), use the button in the application toolbar (see Figure 4) or select the "Summary results" type of analysis in the analysis toolbar (see Figure 54) to open a window displaying the summary results in a table (see Figure 59).

Figure 58: Summary Results Menu Item

Figure 59: Summary Results



The table provides for:

the 5 "most or least dominant"2 Dipterocarps;

all other Dipterocarps lumped together;

the 10 "most or least dominant"2 Non-Dipterocarps;

all other Non-Dipterocarps lumped together;

all bamboos lumped together;

all palms lumped together;

all rattan lumped together;

all tree ferns lumped together;

Standing Dead Wood (SDW);

Lying Dead Wood (LDW);

Litter (Li);

Soil Organic Matter (SOM);

the following results (as far as applicable to a specific carbon pool):









Dead organic matter per hectare (DOM/ha), in t d.m./ha and in t C/ha;

Soil organic matter per hectare (SOM/ha), in t C/ha;

Total forest carbon stock per hectare, in t C/ha.

The rows of the table can be sorted (with an impact on the "most or least dominant" Dipterocarps and Non-Dipterocarps) by clicking on the table column header icons:




Once the results are displayed to the liking of the user, they can - with the buttons of the analysis toolbar (see Figure 54) - notably be:




Moreover, the total forest carbon stock may also be displayed graphically by pools as a pie chart or a bar chart (see Figure 60 and Figure 61), by clicking on the corresponding tab.

2 "most or least dominant" refers to the active sorting key and order.



Figure 60: Summary Results Displayed as Pie Chart

Figure 61: Summary Results Displayed as Bar Chart



8.5 Living Biomass Results

Select the « Analysis > Living biomass » item in the application menu (see Figure 62), use the button in the application toolbar (see Figure 4) or select the "Living biomass" type of analysis in the analysis toolbar (see Figure 54) to open a window displaying the living biomass results in an array of tables (see Figure 63).

Figure 62: Living Biomass Results Menu Item

Figure 63: Living Biomass Results



The array of tables (the third dimension [diameter classes] is accessible through tabs) provides for:

the 5 "most or least dominant"2 Dipterocarps;

all other Dipterocarps lumped together;

the 10 "most or least dominant"2 Non-Dipterocarps;

all other Non-Dipterocarps lumped together;

all bamboos lumped together;

all palms lumped together;

all rattan lumped together;

all tree ferns lumped together;

the following results:









The rows of the table can be sorted (with an impact on the "most or least dominant" Dipterocarps and Non-Dipterocarps) by clicking on the table column header icons:








Moreover, the living biomass results may also be displayed graphically by groups (Dipterocarps, Non-Dipterocarps, bamboos, rattan, palms, tree ferns) as a pie chart or a stacked bar chart (see Figure 64 and Figure 65) by clicking on the corresponding tab and selecting the variable (N/ha, G/ha, V/ha, AGB/ha, BGB/ha or LB/ha) to be used.



Figure 64: Living Biomass Results Displayed as Pie Chart

Figure 65: Living Biomass Results Displayed as Stacked Bar Chart



8.6 Species Diversity

Select the « Analysis > Species diversity » item in the application menu (see (see Figure 62), use

the button in the application toolbar (see Figure 4) or select the "Species diversity" type of analysis in the analysis toolbar (see Figure 66) to open a window displaying the species abundance results in an array of tables (see Figure 67).

Figure 66: Species Diversity Results Menu Item

…..

Figure 67: Species Diversity Results



The table provides for every SU and for all SUs combined (Total) which are included in the analysis the following results:

Species richness, i.e. the number of (different) species; unreferenced species1 only identified by local names are accounted as undetermined trees, bamboos, palms, rattan or tree ferns (as appropriate), since the same species may be recorded using different local names;

Berger-Parker index, measuring species dominance; higher values indicate more dominance, hence less diversity;

Margalef index, measuring species richness, calculated using per definition absolute numbers (not densities as frequently observed, which provides quite different results);

Shannon H' index, measuring species abundance, simultaneously taking the evenness of the species distribution into account; higher values indicate more diversity and evenness;

Shannon E index, measuring evenness;

Simpson index, measuring species dominance; higher values indicate more dominance, hence less diversity.

The rows of the table can be sorted by clicking on the table column header icons:










8.7 Species Abundance

Select the « Analysis > Species abundance » item in the application menu (see Figure 62), use the

button in the application toolbar (see Figure 4) or select the "Species abundance" type of analysis in the analysis toolbar (see Figure 54) to open a window displaying the species abundance results in an array of tables (see Figure 63).

Figure 68: Species Abundance Results Menu Item

Figure 69: Species Abundance Results The array of tables (the third dimension [diameter classes] is accessible through tabs) provides for all species sampled the following results:

Relative frequency, in percent (%), as well as the corresponding rank; the relative frequency of a particular species is defined as the proportion in percent (%) of the sampling units where that species has been sampled;

Relative density, in percent (%), as well as the corresponding rank; the relative density of a particular species is defined as its proportion in percent (%) of the total density (N), all species combined;

Relative dominance, in percent (%), as well as the corresponding rank; the relative dominance of a particular species is defined as its proportion in percent (%) of the total basal area (G), all species combined;

Importance, a dimensionless number, as well as the corresponding rank, conventionally defined as the sum of the species' relative frequency, relative density and relative dominance.



8.8 Statistics

Select the « Analysis > Statistics » item in the application menu (see Figure 70), use the button in the application toolbar (see Figure 4) or select the "Statistics" type of analysis in the analysis toolbar (see Figure 54) to open a window displaying the statistical parameters of the carbon stock estimates in an array of tables (see Figure 71).

Figure 70: Statistics Menu Item

…..

Figure 71: Statistics The array of tables (the third dimension [groups of variables] is accessible through tabs) provides for:

the estimates shown in the summary results (see Chapter 8.4);

the estimates of the number of stems per hectare (N/ha), basal area per hectare (G/ha) and merchantable volume per hectare (V/ha) of trees with 5.0 cm ≤ DBH or DAB < 20.0 cm and with DBH or DAB ≥ 20.0 cm, respectively;

the estimates of the above-ground biomass per hectare (AGB/ha), below-ground biomass per hectare (BGB/ha) and living biomass per hectare (LB/ha) of stems with 5.0 cm ≤ DBH / DAB < 20.0 cm and with DBH / DAB ≥ 20.0 cm, respectively;

the estimates of standing dead wood per hectare (SDW/ha), lying dead wood per hectare (LDW/ha), litter per hectare (Li/ha), dead organic matter per hectare (DOM/ha) and soil organic matter per hectare (SOM/ha);

the results for each SU, and based on all SUs included in the analysis the following statistical parameters:

Number of SUs;

Mean;



Variance;

Standard deviation;

Coefficient of variation

Standard error of the mean (in absolute terms and in %)

Margin of error (in absolute terms and in %) at a confidence level of 90%, 95% and 99%, respectively.











8.9 Site Variables

Select the « Analysis > Site variables » item in the application menu (see Figure 72), use the button in the application toolbar (see Figure 4) or select the "Site variables" type of analysis in the analysis toolbar (see Figure 54) to open a window displaying the default cross-tabulation of the frequency distribution of the site variables in an array of tables (see Figure 63).

Figure 72: Site Variables Menu Item

…..

Figure 73: Simple Cross-Tabulation The default array of tables (the third dimension [classification criteria] is accessible through tabs) provides in % the frequency distribution of the sample points3 and nested plot centers for all SUs included in the analysis for the following classification criteria:

Elevation above sea level (13 classes: 0 - 199 m; 200 - 399 m; 400 - 599 m; 600 - 799 m; 800 - 999 m; 1,000 - 1,199 m; 1,200 - 1,399 m; 1,400 - 1,599 m; 1,600 - 1,799 m; 1,800 - 1,999 m; 2,000 - 2,499 m; 2,500 - 2,999 m; ≥ 3,000 m);

Slope (6 classes: 0 - 2%; 3 - 7%; 8 - 17%; 18 - 29%; 30 - 49%; ≥ 50%);

Slope orientation (9 classes: none; north; north-east; east; south-east; south; south-west; west; north-west);

Terrain (11 classes: plateau; summit or crest; upper slope; middle slope; lower slope; bench or terrace; valley; plain; narrow depression; water course; dunes);

3 The sample points are excluded from cross-tabulations involving the ground coverages of the vegetation by

height classes, since these are not assessed at the sample points.



Land classification (2 classes: forest land; alienable and disposable);

Land cover (12 classes: forest; marshland or swamp; fallow; shrubs; wooded grassland; grassland; annual crop; perennial crop; open o barren land; built-up area; fishpond; inland water);

Forest type (10 classes: Dipterocarp old growth forest; Dipterocarp residual forest; mossy forest; submarginal forest; closed pine forest; open pine forest; mangrove old growth forest; mangrove reproduction forest; native tree plantation forest; other plantation forest);

Tree crown cover (3 classes: ≤ 10%; 11 - 40%; > 40%);

2010 land and forest cover according to NAMRIA (14 classes: closed forest; open forest; mangrove forest; fallow; shrubs; wooded grassland; grassland; annual crop; perennial crop; open or barren, built-up; marshland or swamp; fishpond; inland water);

Ground coverage of grass, herbs and mosses < 50 cm height (4 classes: none; ≤ 10%; 11 - 50%; > 50%);

Ground coverage of plants between 50 cm and 130 cm height (4 classes: none; ≤ 10%; 11 - 50%; > 50%);

Ground coverage of plants between 130 cm and 200 cm height (4 classes: none; ≤ 10%; 11 - 50%; > 50%);

Ground coverage of plants between 2.0 m and 4.0 m height (4 classes: none; ≤ 10%; 11 - 50%; > 50%);

Ground coverage of plants between 4.0 m and 10.0 m height (4 classes: none; ≤ 10%; 11 - 50%; > 50%);

Ground Coverage of plants > 10.0 m height (4 classes: none; ≤ 10%; 11 - 50%; > 50%).

In the default array of tables, the rows display the SUs. These default tables hence provide the frequency distribution of sample points (if applicable) and nested plot centers by one classification criterion at a time. Instead of the SUs, any of the classification criteria referred to above may be selected in the extended cross-tabulation scope pane to be displayed in rows (see Figure 75). In such way, it becomes possible to cross-tabulate any two classification criteria, and analyze the frequency distribution of the sample points (if applicable) and nested plot centers by two classification criteria (see Figure 74).

Figure 74: Cross-Tabulation Combining 2 Classification Criteria



Classification criterion to be displayed as rows (only one may be selected)

Classification criteria to be displayed as separate views (tables) (several may be selected)

Figure 75: Cross-Tabulation Scope Pane



9. References Barrois V (2017a): Database architecture for the management and analysis of forest resources

assessment data. National REDD+ System Philippines Project, Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, Metro Manila, Philippines

http://forestry.denr.gov.ph/redd-plus-philippines/publications-pdf/unpublished/FRA_Database_Architecture.pdf.

Barrois V (2017b): Forest Resources Assessment Database System Application Version 4.1 installation guide. National REDD+ System Philippines Project, Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, Metro Manila, Philippines

http://forestry.denr.gov.ph/redd-plus-philippines/publications-pdf/unpublished/FRA_Database_System_Application_V._4.1_Installation_Guide.pdf.

Brown S (1997): Estimating biomass and biomass change of tropical forests: A primer. FAO Forestry Paper 134, FAO, Rome, Italy

http://www.fao.org/docrep/w4095e/w4095e00.htm. Accessed 20 Feb 2017

Chave J, Rejou-Mechain M, Burquez A, Chidumayo E, Colgan MS, Delitti WBC, Duque A, Eid T, Fearnside PM, Goodman RC, Henry M, Martinez-Yrizar -A, Mugasha WA, Muller-Landau HC, Mencuccini M, Nelson BW, Ngomanda A, Nogueira EM, Ortiz-Malavassi E, Pelissier R, Ploton P, Ryan CM, Saldarriaga JG, Vieilledent G (2014): Improved allometric models to estimate the aboveground biomass of tropical trees. Global Change Biology (2014) 20, 3177–3190, doi: 10.1111/gcb.12629

http://chave.ups-tlse.fr/chave/chave-gcb14.pdf. Accessed 20 Feb 2017

DENR (2014): Measurement standards and procedures in the conduct of inventory for standing trees (timber). FMB Technical Bulletin No. 3. Quezon City, Philippines

https://drive.google.com/file/d/0B1G5mTNoDPOFbEQzMjZWMmQ2b28/view?usp=sharing. Accessed 20 Feb 2017

Lennertz R, Schade J, Barrois V (2017): Forest Resources Assessment and tools to provide information for forest ecosystem management. National REDD+ System Philippines Project, Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, Metro Manila, Philippines

http://forestry.denr.gov.ph/redd-plus-philippines/publications-pdf/unpublished/FRA_Methodology_and_Tools.pdf.

Reyes G, Brown S, Chapman J, Lugo AE (1992): Wood densities of tropical tree species. United States Department of Agriculture, Forest Service, Southern Forest Experiment Station, New Orleans, Louisiana, USA

http://www.fs.fed.us/global/iitf/pubs/gtr_so088_1992.pdf. Accessed 20 Feb 2017

Zanne AE, Lopez-Gonzalez G, Coomes DA, Ilic J, Jansen S, Lewis SL, Miller RB, Swenson NG, Wiemann MC, Chave J (2009): Global wood density database. Dryad, Durham,North Carolina, USA

http://datadryad.org/handle/10255/dryad.235. Accessed 20 Feb 2017

FRA Database System Application V. 4.1 User Guide Appendix 1


Appendix 1:

Field Data Forms


Field Data Forms Page 1


0

m E m N

m E m N

m % °

03 = Mossy forest 04 = Submarginal forest

09 = Native tree plantation 10 = Other plantation forest

Helper 3

Forest type

05 = Closed pine forest 06 = Open pine forest

07 = Mangrove old growth forest 08 = Mangrove reproduction forest

Measurements / observations at the Sample Point

Barangay

Team Leader

Zone

North

Slope

NorthActual coordinates

Sketch map of the approach to the Sample Point / Remarks

Observations within a radius of 25 m horizontal distance around the Sample Point

2 = Alienable & Disposable land

1 = non-forest (tree crown cover <= 10 %)

2 = open forest (10 % < tree crown cover <= 40 %)

3 = closed forest (tree crown cover > 40%)

01 = Forest 02 = Marshland / swamp 03 = Fallow

04 = Shrubs 05 = Wooded grassland

06 = Grassland 07 = Annual crop

08 = Perennial crop 09 = Open / barren land

10 = Built-up area 11 = Fishpond 12 = Inland water

01 = Dipterocarp old growth forest 02 = Dipterocarp residual forest

Elevation

Forest Resources Assessment

Sample Point No. 2Date

Region

Province

City / Municipality

Assistant

Helper 1

Helper 2

Tree crown cover

Slope orientation

Land classification

07 = Valley 08 = Plain 09 = Narrow depression 10 = Water course 11 = Dunes

01 = Plateau 02 = Summit / crest 03 = Upper slope 04 = Middle slope 05 = Lower slope 06 = Bench / terrace

Land cover

1 = Forest land

Terrain

Target coordinates Zone




0

m E m N

°

Land cover

(number of distinct plant species)

Grass, herbs, mosses < 50 cm Plants 50 cm - 130 cm Plants 130 cm - 200 cm

Plants 2.0 - 4.0 m

cm

. . . . .

. . . . .

. . . . .

. . . . .

. . . . .

. . . . .

. . . . .

. . . .* within a radius of 5 m horizontal distance around the Plot Center

Continuation on page

Mid-Diameter

[cm][cm] [m]

Mid-Diameter

[cm]

Length

[m]

# #

3 = closed forest (tree crown cover > 40%)

Forest type

06 = Grassland 07 = Annual crop

08 = Perennial crop 09 = Open / barren land

10 = Built-up area 11 = Fishpond 12 = Inland water

2 = open forest (10 % < tree crown cover <= 40 %)

09 = Native tree plantation 10 = Other plantation forest

%

05 = Closed pine forest 06 = Open pine forest

07 = Mangrove old growth forest 08 = Mangrove reproduction forest

Inventory of lying dead wood with D >= 5.0 cm*

Length# Mid-Diameter Length

[m]

1 = Forest land

2 = Alienable & Disposable land

Elevation

Terrain

Slope

Land classification

Tree crown cover

01 = Forest 02 = Marshland / swamp 03 = Fallow

04 = Shrubs 05 = Wooded grassland

1 = non-forest (tree crown cover <= 10 %)

Observations within a radius of 10 m horizontal distance around the Plot Center

01 = Dipterocarp old growth forest 02 = Dipterocarp residual forest

03 = Mossy forest 04 = Submarginal forest

01 = Plateau 02 = Summit / crest 03 = Upper slope 04 = Middle slope 05 = Lower slope 06 = Bench / terrace

07 = Valley 08 = Plain 09 = Narrow depression 10 = Water course 11 = Dunes

Ground coverage classes: 0 = none 1 = coverage <= 10 % 2 = 10 % < Coverage <= 50 % 3 = coverage > 50 %

Observations within a radius of 5 m horizontal distance around the Plot Center

Average depth


2

Pagere-located

Date

Team LeaderPlot

Sample Point No.

Helper 3

Assistant

Helper 1

m

NorthZone

Region

City / Municipality

Province

Barangay

Measurement / observations at the Plot Center

Plant diversity

Plants 4.0 m - 10.0 m

Ground coverage %

Assessment of litter within a radius of 5 m horizontal distance around the Plot Center

Plants > 10.0 m

Slope orientation

Actual coordinates

Helper 2




0

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Plot


Sample Point No. 2

Pagere-located

# Hor. Distance

Team Leader

Date

M. Height**

Liv

e

Dea

d

[cm]Name Code [°] [m]

AzimuthSpecies

* live trees, bamboos, palms, rattan and tree ferns with Dref >= 20.0 cm within a radius of 10 m horizontal distance around the Plot Center

* standing dead wood within a radius of 5 m horizontal distance around the Plot Center

** merchantable height for all standing dead wood with Dref >= 5.0 cm and for live trees with Dref >= 20.0 cm

Assistant

Continuation on page

* live trees, bamboos, palms, rattan and tree ferns with 5.0 cm <= Dref < 20.0 cm within a radius of 5 m horizontal distance around the Plot Center

Inventory of live trees, bamboos, palms and standing dead wood with Dref >= 5.0 cm*

[m]

DBH / DAB



Appendix 2:

Example of a PDF Report of a Sampling Unit


Example of a PDF Report of a Sampling Unit Page 1




Appendix 3:

Example of a PDF Sketch Map Report of Live Trees and Standing Dead Wood


Example of a PDF Sketch Map Report of Live Trees and Standing Dead Wood Page 1


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