Identification of priority areas for Eschweilera tetrapetala (Lecythidaceae) conservation in response to climate change
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https://figshare.com/articles/dataset/Identification_of_priority_areas_for_Eschweilera_tetrapetala_Lecythidaceae_conservation_in_response_to_climate_change/12524081
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资源简介:
These are the supplementary data for the scientific article recording the spacial distribution and ocorrence record of Eschweilera tetrapetala. We provide here:
1 - Occurrence records with associated environmental information in the formats CSV.
2- Abundance of E. tetrapetala in 10 random plots of 200 x 10 m, in the Atlantic Forest sections of Chapada Diamantina, along the eastern flank of Serra do Sincorá.
3- Abundance of E. tetrapetala in 30 permanent plots of 10 x 10 m (0.3 ha), randomly established by Couto-Santos et al. (2015) in an area of the SSF (12º28'31''S;41º23'14''W) within the CDNP.-Couto-Santos APL, Conceição AA & Funch LS (2015) The
role of temporal scale in linear edge effects on a submontane Atlantic forest
arboreal community. Acta Botanica Brasilica 29: 190–197.
4-The extent of occurrence (EOO) and the area of occupation (AOO) of the updated species to take into account the new records, calculated by the geographic tool 'Geocat'.'Geocat' (http://geocat.kew.org/ - Bachman et al. 2011 - https://doi.org/10.3897/zookeys.150.2109)
5-Shapefile of EOO and priority áreas
6- Modelling scripts. R Core Team (2018) R: a language and environment for
statistical computing. R. Foundation for Statistical Computing, Vienna.-https://cran.r-project.org/
7-Intermediate models- models raster for period evaluated and algorithm.
8 Ensemble models-consensus
model (ensemble) in each period evaluated (past and future) using the means of all
the models .
创建时间:
2020-06-22



