Published April 11, 2021 | Version 1
Dataset Open

Maps and R code from: Marginality indices for biodiversity conservation in forest trees

Authors/Creators

  • 1. GIP ECOFOR, Paris, France
  • 2. CNR - Institute of Biosciences and BioResources (IBBR), Sesto Fiorentino, Italy
  • 3. Mixed Unit INIA-UVA on Sustainable Forest Management. Avda Madrid, s/n. Palencia, Spain
  • 4. Slovenian Forestry Institute, Vecna pot 2, 1000 Ljubljana, Slovenia
  • 5. Centre for Ecology & Hydrology, Penicuik, United Kingdom
  • 6. Unidad de Recursos Forestales, CITA, Zaragoza, Spain
  • 7. Faculty of Agriculture, Forest Science & Natural Environment, Aristotle University of Thessaloniki, Thessaloniki, Greece
  • 8. European Forest Institute, Barcelona, Spain
  • 9. INRAE, Bordeaux France
  • 10. Council for Agricultural Research and Economics - Forestry Research Centre, Arezzo, Italy
  • 11. INRAE, URFM, Écologie des forêts méditerranéennes, Avignon, France

Description

This dataset provides the raster map of marginality indices for eight European tree species as described in the article "Marginality indices for biodiversity conservation in forest tree". It also provided the R code to compute the marginality indices.

The eight species are the following:

  • Abies alba Mill. (silver fir)
  • Fagus sylvatica L. (European beech)
  • Picea abies (L.) H.Karst. (Norway spruce) 
  • Pinus halepensis Mill. (Aleppo pine)
  • Pinus nigra J.F.Arnold (black pine)
  • Pinus pinaster Aiton (maritime pine) 
  • Pinus pinea L. (stone pine)
  • Pinus sylvestris L. (Scots pine)

For each species, a 7z archive of a multi-layered image of the raster maps of the marginality indices is given. Each image has 12 layers:

  • Layer 1: distribution map of the species
  • Layer 2: map of the probability of being marginal according to the Maxent model using eight marginality indices and countries as predictors
  • Layer 3: map of the environmental marginality index, defined as the z-transform of the suitability of each location as predicted by a species distribution model using climatic variables as predictors
  • Layer 4: map of the segmented distribution according to morphological spatial pattern analysis
  • Layer 5: map of the area index
  • Layer 6: map of the gravity index
  • Layer 7: map of the centroid index
  • Layer 8: map of the edge index
  • Layer 9: map of the isolation index
  • Layer 10: map of the second nearest core index
  • Layer 11: map of the north/south index
  • Layer 12: map of the east/west index

Notes

This data is based upon work from COST Action FP1202 "Strengthening conservation: a key issue for adaptation of marginal/peripheral populations of forest trees to climate change in Europe" (MaP-FGR), supported by COST (European Cooperation in Science and Technology).

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