IOWA GAP ANALYSIS PROGRAM Northern Leopard Frog animaldiversity.ummz.umich.edu American Goldfinch...
1
IOWA GAP ANALYSIS PROGRAM www.herpnet.net/Iowa-Herpetology Northern Leopard Frog animaldiversity.ummz.umich.edu American Goldfinch • Map the land cover of the United States • Map predicted distributions of vertebrates for the U.S. • Document the representation of land cover types and vertebrate species in areas managed for the long-term maintenance of biodiversity • Provide this information to planners and policy makers for land use decisions, and to educators, scientists, natural resource managers and the public • Build institutional cooperation in the application of this information to state and regional management activities. Developing the Land Cover Layer Phase 1 Classification Overview • Phase 1 processing was done by the Geological Survey Bureau, Iowa DNR, Iowa City • Pre-processed, clustered TM satellite data from the Multi-Resolution Land Characteristics • Consortium (MRLC) was used to define 6 general land cover classes • EASI/PACE imaging software was used to consolidate the originally clustered 240 spectral classes into crop, urban, barren, trees, herbaceous and water • A variety of ground referenced data was used to label the classified image Phase 2 Classification Overview • Used Phase 1 land cover from the Iowa DNR and two dates of Landsat TM data per scene • Overlaid aggregated NWI digital wetlands information on Phase 1 before unsupervised classification • Used ERDAS Imagine image processing software to process the state scene by scene • Masked out all but one class and refined it to represent spectrally distinct map classes • Combined the detectable alliance aggregations into one image • Merged all 12 scenes into one statewide detailed land cover image • Post-processed barren class – this class included map labels besides actual barren sites, many in large cropland areas. L INN L EE S A C T A MA I DA S IOUX P OLK C LAY L YON I OW A C ASS K O SU T H P AGE J ASPER ADAI R J O NES B ENTO N C LAYTON DAV IS S TO R Y C EDAR F AYETTE C LINTON B O ONE P LYMOUTH MONONA DALAS MILS F LOYD S H E LBY OBR IEN HARDI N B UTLER WOODBURY WEBSTER MARI O N WAYNE WRIGHT K EOKUK S COTT J ACKSON G REENE T A Y LOR HARR ISON UNI O N G U T H R IE L UCAS J O HNSON WARREN HE N RY DUB U QUE C ARROLL MADISON C RAW FORD ADAMS F RANKLIN MAHASKA C ALHOUN G RUN DY HANCOCK L OUISA E M MET HAMIL TO N ALAMAKEE P OTTAW ATTAMIE DE CATUR C LARKE WINNESHIEK MARSHALL F REMO NT WORTH B REMER C HEROKEE HOWARD P ALO AL TO DE LAW ARE B UCHAN AN R INGGOLD MONROE P OW ESHIE K MITC HELL WAPELO AUDUBON B UENA VISTA B LACKHA WK V AN BUREN OSC EO L A P OCAHO NTAS C HICKASAW APANOOSE WASHINGTON HUMBOLDT MUSCATI N E C ERRO GORDO J EFFERSON DI CKINSON DE S MOINES WINNEBAGO MONTGOMERY Statewide 1992 Land Cover The basic assumption of GAP’s predicted species distribution maps is that a species has a high probability of occurring in suitable habitat types that are within the species range. A vertebrate species habitat model (presence or absence) is developed based on existing range or point distribution data, other ancillary data relative to a species’ habitat, along with the GAP vegetation (land cover) layer. These predicted distributions are combined with land stewardship boundaries to identify potential habitat that should be targeted for conservation planning. Gap analysis is a scientific method for identifying the degree to which native animal species and natural communities are represented in our present-day mix of conservation lands. Those species and communities not adequately represented in the existing network of conservation lands constitute conservation "gaps." The purpose of GAP is to provide broad geographic information Selected Land Cover Classes Based Upon Literature Review Land CoverClass SAVS Pine Forest 0 Eastern Red CedarForest 0 Evergreen Forest 0 Upland Deciduous Forest 0 Tem porarily Flooded Forested W etland 0 Seasonally Flooded Forested W etland 0 M ixed Evergreen/Deciduous Forest 0 Eastern Red CedarW oodland 0 Upland Deciduous W oodland 0 M ixed Evergreen/Deciduous W oodland 0 Upland Shrub 0 Tem porarily Flooded Shrub 1 Seasonally Flooded Shrub 0 Sem i-perm anently Flooded Shrub 0 Saturated (Bog orSw am p )Shrub 1 W arm Season G rass/Perennial Forb 1 Tem porarily Flooded W etland 1 Seasonally Flooded W etland 0 Sem i-perm anently Flooded W etland 0 Saturated W etland 1 G rassland W ith Sparse Shrubs and Trees 1 Perm anently Flooded W etland 0 Sparsely V egetated/Barren 0 A rtificial/High V egetation 0 A rtificial/Low Vegetation 0 Cool Season G rass (Forage,Sm ooth Brom e,Pasture ) 1 Cropland (Corn,Soybeans,Sorghum ) 0 O pen W ater(Lakes,Rivers,Stream s,Canals ) 0 Probable Range for Savannah Sparrow Based Upon Point Distribution and Expert Review State Vertebrate Species Lists Habitat Association Data Species Point Distributions and Range Maps Expert Review Species Habitat Relational Models Vegetation Cover Predicted Species Distributions Vertebrate Habitat Modeling Process Predicted Habitat Distribution of Savannah Sparrow Passerculus sandwichensis The identification of stewardship lands is critical to the Gap Analysis process. The land stewardship map combines attributes of ownership, management and a measure of intent to maintain biodiversity. Stewardship land units will be assigned a management status code of 1 - 4. Status 1: An area having permanent protection from conversion of natural land cover and a management plan that maintains or mimics natural disturbances. Status 2: An area similar to Status 1 but which may receive uses or management practices that degrade the quality of existing natural communities, including suppression of natural disturbance. Status 3: An area having permanent protection from conversion of natural land cover for the majority of the area, but subject to extractive uses of either broad, low intensity (logging) or localized, high intensity (mining). Status 4: An area allowing conversion to unnatural land cover. Generally, private or public lands without permanent conservation easements. Most of the identified stewardship properties in Iowa are Status 3 or 4. Areas having a higher status are areas under the State Preserve Board system or areas having a management plan that specifically addresses conservation of biodiversity. Several areas, such as Effigy Mounds National Monument and some Nature Conservancy properties, would qualify for Status 1. Boundary Data Acquisition Methods • Acquire existing GIS data • Scan and register aerial photos • Digitize boundaries from plat maps, topo maps and DOQQS Sources • 99 County Conservation Boards • Iowa Department of Natural Resources • Fish and Wildlife Service • Army Corps of Engineers • The Nature Conservancy • Iowa Natural Heritage Foundation • Natural Resource Conservation Service • Private Land Owners Sample scanned photo overlaid with digitized boundary Clayton county area showing Savannah Sparrow habitat selection overlaid with public lands County Land State Land Federal Land Developing the Stewardship Layer National Gap Analysis Program Five Point Mission Developing the Vertebrate Habitat Layer on the status of ordinary species (those not threatened with extinction or naturally rare) and their habitats in order to provide land managers, planners, scientists, and policy makers with the information they need to make better- informed decisions. GAP is a tool by which we can “keep common species common”. The concept of gap analysis can be defined as the lack of representation or inadequate representation of a biotic element (plant community or animal species mapped by GAP) in areas managed primarily for natural values. Identification of a “gap” indicates potential risk of extinction or extirpation unless changes are made by land stewards in the management status of the element. Biodiversity has always been a product of a changing environment, subsequent evolution, and natural extinction events. The need to identify potential gaps stems not so much from the natural pace of evolution and extinction, but rather from recent and accelerating effects of human-caused changes to the natural environment that threaten biodiversity. The purpose for conducting gap analysis is to identify gaps that have great potential for mitigation by land stewards and decision-makers. Another substantial contribution of gap analysis is the provision of regional or range-wide analysis of an element’s representation that can allow stewards to assess their role and responsibility in the greater context for those elements occurring on their lands. Rather than basing stewardship decisions only on local, observable conditions, stewards can take into account an element’s status over a larger geographic region (their state or ecoregion) or throughout an element’s mapped range. Conservation Planning The intent of the Gap Analysis Program is to provide focus and direction for proactive, rather than reactive, land management activities at the community and landscape levels. GAP provides an ecological context for an hierarchical approach to land management and more detailed ecological studies in the future. We believe that Gap Analysis is one step in a comprehensive land management planning effort that transcends political boundaries. Data were fabricated for use as input in this example Taller hexagons imply an increase in species richness Example of statewide species richness map based on the hexagons Landcover Mapping Vegetation Classification Image Analysis Landcover Map Vertebrate Modeling Distribution Maps Vertebrate Models Habitat Prediction Maps Stewardship Conservation Parcels & Status Conservation Priorities & Planning GAP Schematic Predicted Habitat Distribution Vs Actual Species Location GAPS GAPS (Gap Analysis) Conserved Habitat Vs Non-conserved Habitat Iowa NatureMapping: Involving citizens in mapping Iowa's biodiversity Iowa has become the third state to implement a new type of wildlife monitoring program, joining Washington and Virginia. This new program, known as NatureMapping, is the education, outreach, and volunteer component of the Iowa Gap program. Iowa NatureMapping is designed to give participants the “basics” of how to collect information on common wildlife species in order to contribute to a statewide effort to map Iowa’s biodiversity. There are not enough professionals, time, or funding to conduct an inventory of all the nation’s flora and fauna without broader help. One way to achieve the needed inventory is to involve an interested public—that’s what NatureMapping is all about. Individuals, schools, county conservation boards, and other community groups can all participate. Current and Upcoming Work : ·Work with the Iowa DNR to create advanced NatureMapping training sessions in conjunction with the Wildlife Diversity Program's non-game wildlife monitoring surveys ·Coordinate with the State GIS office to offer ArcView training workshops to Area Education Agencies ·Provide online maps of volunteers' data using ArcView GIS coverages ·Continue to offer basic NatureMapping workshops Iowa Rivers Information System - IRIS (aka Iowa Aquatic GAP) The IRIS Project was developed from a need of Iowa’s natural resource managers to have quality information about state rivers and the flora and fauna associated with them. This project will be a cooperative effort between several DNR Divisions, ISU and many other interested organizations. IRIS will be a statewide GIS database using the National Hydrography Dataset as the base linework. A database with many variables will be attached to the linework and new variables can be added as the project progresses. As data is generated, it will be made accessible to users through ESRI’s Internet Map Server software. This will allow anyone with an Internet connection to view and query the data and create their own maps with user-defined layers. Goals of IRIS •Document the health of Iowa’s riverine environments •Prioritize conservation efforts •Track biodiversity locally within a global perspective •Provide a consistent base layer for Ecoregions Landcover Watersheds Rivers Land Stewardship Associated Projects Accuracy Assessment Our classification effort and ground referenced data collection began in late 1997 and continued for three years. The five year minimum difference from our remotely sensed data has likely caused some misclassification and definitely created some confusing situations during the entire process. This time lag will extend to nine years when accuracy assessment is complete in 2001. It is known that grasslands, croplands and Detail, Ames Area, Story County urban areas have changed significantly in the last nine years. ISU was funded by the EPA to do an intense accuracy assessment study for the EPA region 7 states. Iowa carried out a successful pilot of that protocol in the summer of 2000, but due to limited funds cannot use this protocol across the entire state. We will be testing a process for computer-based accuracy assessment. The Iowa Gap Analysis Team: Kevin Kane, PI / GAP Coordinator ISU GIS Facility, ISU, [email protected] Bruce Menzel, PI Dept. Animal Ecology, ISU, [email protected] Kathy Andersen, Vertebrate Modeling Dept. Animal Ecology, ISU, [email protected] Patrick Brown, Stewardship ISU GIS Facility, ISU, [email protected] Erwin E. Klaas, Vertebrate Modeling Professor Emeritus, ISU, [email protected] Robin McNeely, Land Cover Dept. Animal Ecology, ISU, [email protected] Jason O’brien, NatureMapping Dept. Animal Ecology, ISU, [email protected] Please visit the following webpages for more information about Gap Analysis: Iowa Gap Analysis - www.iowagap.iastate.edu National Gap Analysis - www.gap.uidaho.edu/gap NatureMapping - www.naturemapping.state.ia.us IRIS and Aquatic GAP - Iowa GAP Cooperators: Final Products / Data Access: The Iowa Gap Analysis Program will publish a final report explaining the biodiversity status of breeding terrestrial vertebrate species in the state. In conjunction with this biodiversity analysis, an atlas of land cover and an atlas of terrestrial vertebrates will also be published. The documents will be available on CD and on the Iowa GAP website in Adobe Acrobat .pdf format. The GIS datasets used to create the land cover, stewardship and vertebrate species layers will be available for downloading via ftp service. This same GIS data will be available for interactive viewing and querying over the Internet using ESRI’s Internet Map Server software. The Iowa Gap Analysis Program will be complete in December, 2001. Check the state and national Gap web pages for updates and links to acquire the reports and GIS data. Sources for the information on this poster include: The National Gap Analysis Handbook The Iowa Gap Analysis Brochure and Webpage Iowa Gap personnel will gladly speak to your organization about our program; all we
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Transcript of IOWA GAP ANALYSIS PROGRAM Northern Leopard Frog animaldiversity.ummz.umich.edu American Goldfinch...
IOWA GAP ANALYSIS PROGRAMIOWA GAP ANALYSIS PROGRAMwww.herpnet.net/Iowa-Herpetology
Northern Leopard Frog
animaldiversity.ummz.umich.edu
American Goldfinch
• Map the land cover of the United States • Map predicted distributions of vertebrates for the U.S.
• Document the representation of land cover types and vertebrate species in areas managed for the long-term maintenance of biodiversity • Provide this information to planners and policy makers for land use decisions, and to educators, scientists, natural resource managers and the public
• Build institutional cooperation in the application of this information to state and regional management activities.
Developing the Land Cover LayerDeveloping the Land Cover Layer
Phase 1 Classification Overview
• Phase 1 processing was done by the Geological Survey Bureau, Iowa DNR, Iowa City
• Pre-processed, clustered TM satellite data from the Multi-Resolution Land Characteristics
• Consortium (MRLC) was used to define 6 general land cover classes
• EASI/PACE imaging software was used to consolidate the originally clustered 240 spectral classes into crop, urban, barren, trees, herbaceous and water
• A variety of ground referenced data was used to label the classified image
Phase 2 Classification Overview
• Used Phase 1 land cover from the Iowa DNR and two dates of Landsat TM data per scene
• Overlaid aggregated NWI digital wetlands information on Phase 1 before unsupervised classification
• Used ERDAS Imagine image processing software to process the state scene by scene
• Masked out all but one class and refined it to represent spectrally distinct map classes
• Combined the detectable alliance aggregations into one image
• Merged all 12 scenes into one statewide detailed land cover image
• Post-processed barren class – this class included map labels besides actual barren sites, many in large cropland areas.
LI NN
LEE
SA C
TA MA
IDA
SI OUX
POLK
CLAY
LYON
IOWA
CASS
KO SSU TH
PAGE
JASPER
ADAIR
JO NESBENTO N
CLAYTON
DAVI S
STO RY
CEDAR
FAYETTE
CLI NTON
BO ONE
PLYMOUTH
MONONA
DALLAS
MI LLS
FLOYD
SH ELBY
OBRI EN
HARDIN
BUTLER
WOODBURY
WEBSTER
MARIO N
WAYNE
WRI GHT
KEOKUK
SCOTT
JACKSON
GREENE
TA YLOR
HARRI SON
UNIO N
GU TH RI E
LUCAS
JO HNSON
WARREN
HEN RY
DUBU QUE
CARROLL
MADI SON
CRAWFORD
ADAMS
FRANKLI N
MAHASKA
CALHOUNGRUN DY
HANCOCK
LOUI SA
EMMET
HAMI LTO N
ALLAMAKEE
POTTAWATTAMI E
DECATUR
CLARKE
WI NNESHI EK
MARSHALL
FREMO NT
WORTH
BREMER
CHEROKEE
HOWARD
PALO ALTO
DELAWAREBUCHAN AN
RI NGGOLD
MONROE
POWESHI EK
MI TCHELL
WAPELLO
AUDUBON
BUENA VI STA
BLACK HA WK
VAN BUREN
OSCEO LA
POCAHO NTAS
CHI CKASAW
APPANOOSE
WASHI NGTON
HUMBOLDT
MUSCATIN E
CERRO GORDO
JEFFERSON
DICKI NSON
DES MOI NES
WI NNEBAGO
MONTGOMERY
Statewide 1992 Land Cover
The basic assumption of GAP’s predicted
species distribution maps is that a species has
a high probability of occurring in suitable
habitat types that are within the species range.
A vertebrate species habitat model (presence
or absence) is developed based on existing
range or point distribution data, other ancillary
data relative to a species’ habitat, along with
the GAP vegetation (land cover) layer. These
predicted distributions are combined with land
stewardship boundaries to identify potential
habitat that should be targeted for conservation
planning.
Gap analysis is a scientific method for identifying the
degree to which native animal species and natural
communities are represented in our present-day mix of
conservation lands. Those species and communities not
adequately represented in the existing network of
conservation lands constitute conservation "gaps." The
purpose of GAP is to provide broad geographic information
Selected Land Cover Classes Based Upon Literature Review
Land Cover Class SAVS
Pine Forest 0
Eastern Red Cedar Forest 0
Evergreen Forest 0
Upland Deciduous Forest 0
Temporarily Flooded Forested Wetland 0
Seasonally Flooded Forested Wetland 0
Mixed Evergreen/Deciduous Forest 0
Eastern Red Cedar Woodland 0
Upland Deciduous Woodland 0
Mixed Evergreen/Deciduous Woodland 0
Upland Shrub 0
Temporarily Flooded Shrub 1
Seasonally Flooded Shrub 0
Semi-permanently Flooded Shrub 0
Saturated ( Bog or Sw amp ) Shrub 1
Warm Season Grass/Perennial Forb 1
Temporarily Flooded Wetland 1
Seasonally Flooded Wetland 0
Semi-permanently Flooded Wetland 0
Saturated Wetland 1
Grassland With Sparse Shrubs and Trees 1
Permanently Flooded Wetland 0
Sparsely Vegetated/Barren 0
Artif icial/High Vegetation 0
Artif icial/Low Vegetation 0
Cool Season Grass ( Forage, Smooth Brome, Pasture ) 1
Cropland ( Corn, Soybeans, Sorghum ) 0
Open Water ( Lakes, Rivers, Streams, Canals ) 0
Probable Range for Savannah Sparrow Based Upon Point Distribution and Expert Review
State Vertebrate Species Lists
Habitat Association DataSpecies Point Distributions
and Range Maps
Expert Review
Species Habitat Relational Models
Vegetation Cover Predicted SpeciesDistributions
Vertebrate Habitat Modeling Process
Predicted Habitat Distribution of Savannah Sparrow
Passerculus sandwichensis
The identification of stewardship lands is critical to the Gap Analysis process. The land stewardship map combines attributes of ownership, management and a measure of intent to maintain biodiversity. Stewardship land units will be assigned a management status code of 1 - 4.
Status 1: An area having permanent protection from conversion of natural land cover and a management plan that maintains or mimics natural disturbances.
Status 2: An area similar to Status 1 but which may receive uses or management practices that degrade the quality of existing natural communities, including suppression of natural disturbance.
Status 3: An area having permanent protection from conversion of natural land cover for the majority of the area, but subject to extractive uses of either broad, low intensity (logging) or localized, high intensity (mining).
Status 4: An area allowing conversion to unnatural land cover. Generally, private or public lands without permanent conservation easements.
Most of the identified stewardship properties in Iowa are Status 3 or 4. Areas having a higher status are areas under the State Preserve Board system or areas having a management plan that specifically addresses conservation of biodiversity. Several areas, such as Effigy Mounds National Monument and some Nature Conservancy properties, would qualify for Status 1.
Boundary Data AcquisitionMethods• Acquire existing GIS data• Scan and register aerial photos• Digitize boundaries from plat maps, topo maps
and DOQQS
Sources• 99 County Conservation Boards• Iowa Department of Natural Resources• Fish and Wildlife Service• Army Corps of Engineers• The Nature Conservancy• Iowa Natural Heritage Foundation• Natural Resource Conservation Service• Private Land Owners
Sample scanned photo overlaid with digitized boundary
Clayton county area showing Savannah Sparrow habitat selection overlaid with public lands
County Land
State Land
Federal Land
Developing the Stewardship LayerDeveloping the Stewardship Layer
National Gap Analysis Program Five Point MissionNational Gap Analysis Program Five Point Mission Developing the Vertebrate Habitat LayerDeveloping the Vertebrate Habitat Layer
on the status of ordinary species (those not threatened with
extinction or naturally rare) and their habitats in order to
provide land managers, planners, scientists, and policy
makers with the information they need to make better-
informed decisions. GAP is a tool by which we can “keep
common species common”.
The concept of gap analysis can be defined as the lack of representation or inadequate representation of a biotic element (plant community or animal species mapped by GAP) in areas managed primarily for natural values. Identification of a “gap” indicates potential risk of extinction or extirpation unless changes are made by land stewards in the management status of the element. Biodiversity has always been a product of a changing environment, subsequent evolution, and natural extinction events. The need to identify potential gaps stems not so much from the natural pace of evolution and extinction, but rather from recent and accelerating effects of human-caused changes to the natural environment that threaten biodiversity.
The purpose for conducting gap analysis is to identify gaps that have great potential for mitigation by land stewards and decision-makers. Another substantial contribution of gap analysis is the provision of regional or range-wide analysis of an element’s representation that can allow stewards to assess their role and responsibility in the greater context for those elements occurring on their lands. Rather than basing stewardship decisions only on local, observable conditions, stewards can take into account an element’s status over a larger geographic region (their state or ecoregion) or throughout an element’s mapped range.
Conservation PlanningConservation Planning
The intent of the Gap Analysis Program is to provide focus and direction for proactive, rather than reactive, land management activities at the community and landscape levels. GAP provides an ecological context for an hierarchical approach to land management and more detailed ecological studies in the future. We believe that Gap Analysis is one step in a comprehensive land management planning effort that transcends political boundaries.
Data were fabricated for use as input in this exampleTaller hexagons imply an increase in species richness
Example of statewide species richness map based on the hexagons
Landcover Mapping
Vegetation Classification
Image Analysis
Landcover Map
Landcover Mapping
Vegetation Classification
Image Analysis
Landcover Map
Vertebrate Modeling
Distribution Maps
Vertebrate Models
Habitat Prediction Maps
Vertebrate Modeling
Distribution Maps
Vertebrate Models
Habitat Prediction Maps
Stewardship
Conservation Parcels & Status
Stewardship
Conservation Parcels & Status
Conservation Priorities
& Planning
Conservation Priorities
& Planning
GAP SchematicGAP Schematic
Predicted Habitat DistributionVs
Actual Species Location
GAPSGAPS(Gap Analysis)
Conserved HabitatVs
Non-conserved Habitat
Predicted Habitat DistributionVs
Actual Species Location
GAPSGAPS(Gap Analysis)
Conserved HabitatVs
Non-conserved Habitat
Iowa NatureMapping: Involving citizens in mapping Iowa's biodiversity
Iowa has become the third state to implement a new type of wildlife monitoring program, joining Washington and Virginia. This new program, known as NatureMapping, is the education, outreach, and volunteer component of the Iowa Gap program. Iowa NatureMapping is designed to give participants the “basics” of how to collect information on common wildlife species in order to contribute to a statewide effort to map Iowa’s biodiversity. There are not enough professionals, time, or funding to conduct an inventory of all the nation’s flora and fauna without broader help. One way to achieve the needed inventory is to involve an interested public—that’s what NatureMapping is all about. Individuals, schools, county conservation boards, and other community groups can all participate.
Current and Upcoming Work:·Work with the Iowa DNR to create advanced NatureMapping training sessions in conjunction with the Wildlife Diversity Program's non-game wildlife monitoring surveys·Coordinate with the State GIS office to offer ArcView training workshops to Area Education Agencies·Provide online maps of volunteers' data using ArcView GIS coverages·Continue to offer basic NatureMapping workshops
To date, 172 people have been trained in the basics of NatureMapping.
Iowa Rivers Information System - IRIS (aka Iowa Aquatic GAP)
The IRIS Project was developed froma need of Iowa’s natural resourcemanagers to have quality informationabout state rivers and the flora andfauna associated with them. This project will be a cooperative effort between several DNR Divisions, ISU and many other interested organizations.
IRIS will be a statewide GIS database using the National Hydrography Dataset as the base linework. A database with many variables will be attached to the linework and new variables can be added as the project progresses.
As data is generated, it will be made accessible to users through ESRI’s Internet Map Server software. This will allow anyone with an Internet connection to view and query the data and create their own maps with user-defined layers.
Goals of IRIS
•Document the health of Iowa’s riverine environments•Prioritize conservation efforts•Track biodiversity locally within a global perspective•Provide a consistent base layer for locational accuracy
Ecoregions Landcover
Watersheds
Rivers
Land Stewardship
Associated ProjectsAssociated Projects
Accuracy Assessment Our classification effort and ground referenced data collection began in late 1997 and continued for three years. The five year minimum difference from our remotely sensed data has likely caused some misclassification and definitely created some confusing situations during the entire process. This time lag will extend to nine years when accuracy assessment is complete in 2001. It is known that grasslands, croplands and
Detail, Ames Area, Story County
urban areas have changed significantly in the last nine years. ISU was funded by the EPA to do an intense accuracy assessment study for the EPA region 7 states. Iowa carried out a successful pilot of that protocol in the summer of 2000, but due to limited funds cannot use this protocol across the entire state. We will be testing a process for computer-based accuracy assessment.
The Iowa Gap Analysis Team:
Kevin Kane, PI / GAP Coordinator ISU GIS Facility, ISU, [email protected]
Bruce Menzel, PIDept. Animal Ecology, ISU, [email protected]
Kathy Andersen, Vertebrate Modeling Dept. Animal Ecology, ISU, [email protected]
Patrick Brown, Stewardship ISU GIS Facility, ISU, [email protected]
Erwin E. Klaas, Vertebrate ModelingProfessor Emeritus, ISU, [email protected]
Robin McNeely, Land Cover Dept. Animal Ecology, ISU, [email protected]
Jason O’brien, NatureMapping Dept. Animal Ecology, ISU, [email protected]
Please visit the following webpages for more information about Gap Analysis:
Iowa Gap Analysis - www.iowagap.iastate.eduNational Gap Analysis - www.gap.uidaho.edu/gapNatureMapping - www.naturemapping.state.ia.usIRIS and Aquatic GAP - mombasa.gis.iastate.edu/iris/iris.htm
Iowa GAP Cooperators: Final Products / Data Access:
The Iowa Gap Analysis Program will publish a final report explaining the biodiversity status of breeding terrestrial vertebrate species in the state. In conjunction with this biodiversity analysis, an atlas of land cover and an atlas of terrestrial vertebrates will also be published.
The documents will be available on CD and on the Iowa GAP website in Adobe Acrobat .pdf format. The GIS datasets used to create the land cover, stewardship and vertebrate species layers will be available for downloading via ftp service. This same GIS data will be available for interactive viewing and querying over the Internet using ESRI’s Internet Map Server software.
The Iowa Gap Analysis Program will be complete in December, 2001. Check the state and national Gap web pages for updates and links to acquire the reports and GIS data.
Sources for the information on this poster include:The National Gap Analysis HandbookThe Iowa Gap Analysis Brochure and Webpage
Iowa Gap personnel will gladly speak to your organization about our program; all we require are several very large plates of chocolate chip cookies.
