Data and R code repository for 'Six decades of losses and gains in alpha diversity of European plant communities'

The repository contains the comprehensive data outputs and R code for the study "Six decades of losses and gains in alpha diversity of European plant communities". This is a copy of the main GitHub repository (https://github.com/gmidolo/interpolated_S_change). Here, we provide large-size f...

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Detalhes bibliográficos
Autores: Midolo, Gabriele, Clark, Adam Thomas, Chytrý, Milan, Essl, Franz, Dullinger, Stefan, Jandt, Ute, Bruelheide, Helge, Argagnon, Olivier, Biurrun, Idoia, Chiarucci, Alessandro, Ćušterevska, Renata, De Frenne, Pieter, De Sanctis, Michele, Dengler, Jürgen, Divíšek, Jan, Dziuba, Tetiana, Ejrnæs, Rasmus, Garbolino, Emmanuel, Illa, Estela, Jentsch, Anke, Jiménez-Alfaro, Borja, Lenoir, Jonathan, Moeslund, Jesper Erenskjold, Napoleone, Francesca, Pielech, Remigiusz, Rumpf, Sabine B., Sanz-Zubizarreta, Irati, Silva, Vasco, Svenning, Jens-Christian, Swacha, Grzegorz, Večeřa, Martin, Vynokurov, Denys, Keil, Petr
Tipo de documento: conjunto de datos
Estado:Versão publicada
Data de publicação:2025
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositório:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/413248
Acesso em linha:http://hdl.handle.net/10261/413248
Access Level:Acceso aberto
Palavra-chave:Alpha diversity
Autocorrelation
Biogeographic regions
Habitat specificity
Biodiversity change
Latitudinal gradient
Machine learning
Nature conservation
Random forests
Xgboost
Interpolation
Vegetation resurvey
Biogeographical region
biogeographic regions
machine learning
nature conservation
Descrição
Resumo:The repository contains the comprehensive data outputs and R code for the study "Six decades of losses and gains in alpha diversity of European plant communities". This is a copy of the main GitHub repository (https://github.com/gmidolo/interpolated_S_change). Here, we provide large-size files (e.g., model output and predictions) necessary for full reproducibility.

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