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USING GIS TECHNOLOGY TO ESTIMATE WILD MUSHROOM PRODUCTION IN CASTILA Y LEÓN (SPAIN): THE MICODATA PROJECT Martinez-Peña, F. & Gomez Conejo, R.

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Presentation on theme: "USING GIS TECHNOLOGY TO ESTIMATE WILD MUSHROOM PRODUCTION IN CASTILA Y LEÓN (SPAIN): THE MICODATA PROJECT Martinez-Peña, F. & Gomez Conejo, R."— Presentation transcript:

1 USING GIS TECHNOLOGY TO ESTIMATE WILD MUSHROOM PRODUCTION IN CASTILA Y LEÓN (SPAIN): THE MICODATA PROJECT Martinez-Peña, F. & Gomez Conejo, R.

2 INTRODUCTION 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

3 INTRODUCTION (II) About Km2

4 INTRODUCTION (II) A MODIS Image and Castilla y León border

5 OBJECTIVES 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

6 MYCOLOGICAL PRODUCTION INDEX (MPI): Canopy cover - Abundance - Densities - Development grade - Soil – Climate – socioeconomic value METHODOLOGY MYCOLOGICAL AVERAGE PRODUCTION (kg/ha): Canopy cover - Abundance - Densities - Development grade - Soil – Climate Spains Forestry Map

7 METHODOLOGY (II)

8 About 300m RESULTS

9 RESULTS (II)

10

11 WORKING WITH MANIFOLD GIS WHAT HAVE WE DONE WITH MANIFOLD - Forestry Database integration (more than 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

12 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 polygons We calculate its new fields for 27 mycological species.

13 WORKING PROCESS (II) Forest property information Harvesting accessibility information MUSHROOM PRODUCTION ESTIMATION (kg/ha) FOR DIFERENT SPECIES MAP GENERATION WITH MUSHROOM AND SOCIAL INFORMATION

14 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

15 THANKS A LOT! MARTINEZ-PEÑA, F. (Forestry Engineer). Valonsadero Forest Investigation Department. Junta de Castilla y León 1. Soria. Spain. GOMEZ CONEJO, R. (Geographer). Cesefor (Castilla y León Wood and Forest Service Center) 2. Soria. Spain. CABEZÓN, A 2., FRANCÉS, D. 2, ORTEGA, P. 1 & SEVILLANO J.L. 2 FIND MORE INFORMATION ON THE MICODATA WEBSITE


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