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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Maps and R code from: Marginality indices for biodiversity conservation in forest trees

Authors: Picard, Nicolas; Marchi, Maurizio; Serra-Varela, Maria Jesus; Westergren, Marjana; Cavers, Stephen; Notivol Paino, Eduardo; Piotti, Andrea; +9 Authors

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

Abstract

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

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).

Keywords

Aleppo pine, black pine, centre-periphery hypothesis, environmental indices, European beech, geographical indices, maritime pine, migration indices, in situ genetic conservation, marginal populations, Norway spruce, peripheral populations, silver fir, Scots pine, stone pine

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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Italian National Biodiversity Future Center