USING GIS TECHNOLOGY TO ESTIMATE WILD MUSHROOM PRODUCTION IN

CASTILA Y LEÓN (SPAIN): THE MICODATA PROJECT

Martinez-Peña, F. & Gomez Conejo, R.

INTRODUCTION

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• This project pretends to classify and valorize Wild Edible Mushrooms in Castilla y León as a forestry product

• The knowledge of this resource in Castilla y León is intense in terms of its typology but not in terms of spatial distribution.

• “Valonsadero Forestry Investigation Department” (Junta de Castilla y León) and Cesefor supports this project with a respectively deep background in Mycology and Gis

INTRODUCTION (II)

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Castilla y León

About 94.000 Km2

INTRODUCTION (II)

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A MODIS Image and Castilla y León border

OBJECTIVES

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• To classify and zone the forestry terrritory in Castilla y León, in terms of its Wild Edible Mushrroom weight according to the socioeconmic interest and the haversting accesibility

• To develope a Spatial Database with the 27 main fungical species in the region

• To design and standarize the mushroom production data collection in this region.

• To publish a Website (WebGIS) where this information is avalaible for the harvesters, and refreshed every 10 days with meteorological information supplied by the National Weather Institute

MYCOLOGICAL PRODUCTION INDEX (MPI):

Canopy cover - Abundance - Densities - Development grade - Soil – Climate – socioeconomic value

METHODOLOGY

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MYCOLOGICAL AVERAGE PRODUCTION (kg/ha):

Canopy cover - Abundance - Densities - Development grade - Soil – Climate

Spain’s Forestry Map

METHODOLOGY (II)

About 300m

RESULTS

RESULTS (II)

RESULTS (II)

WORKING WITH MANIFOLD GIS

WHAT HAVE WE DONE WITH MANIFOLD- Forestry Database integration (more than 100.000 polygons)

- Soils and climate information analysis and integration

- Mushroom production estimations calculated with Manifold scripts

- Administrative splits (municipalities, provinces) calculated with Manifold

- Maps and tables creation to PDF for reports

WHAT HAVE WE NOT DONE WITH MANIFOLD- Accessibility calculations (DEM processing) – Performance problems. Solved with ArcMap

- Web publishing. Made with ArcIms-Google Maps

WORKING PROCESS (I)

• Data integration from different drawings and tables to classify the original forestry drawing without changing its geometry

• The forestry drawing has more than 100.000 polygons

• We calculate its new fields for 27 mycological species.

WORKING PROCESS (II)

• Forest property information

• Harvesting accessibility information

• MUSHROOM PRODUCTION ESTIMATION (kg/ha) FOR DIFERENT SPECIES

• MAP GENERATION WITH MUSHROOM AND SOCIAL INFORMATION

WORKING PROCESS (III)

• We receive meteorological information every 10 days (Surfer Grid format)

• We do identities with its contours so we can modify the estimated production with a correction index based on:

• Average temperature

• Soil humidity stock

• Soil humidity variation from last measure

THANKS A LOT!

MARTINEZ-PEÑA, F. (Forestry Engineer). “Valonsadero” Forest Investigation Department. Junta de Castilla y León1. Soria. Spain. marpenfe@jcyl.es

GOMEZ CONEJO, R. (Geographer). Cesefor (Castilla y León Wood and Forest Service Center)2. Soria. Spain. rgomezc@cesefor.com

CABEZÓN, A2., FRANCÉS, D.2, ORTEGA, P. 1 & SEVILLANO J.L.2

FIND MORE INFORMATION ON THE MICODATA WEBSITE www.micodata.es

info@micodata.es

sig@micodata.es