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Woody species diversity and land-use change legacy: Dataset across Uruguay

The presented datasets relate to the research article entitled “Beyond the boundaries: Do spatio-temporal trajectories of land-use change and cross boundary effects shape the diversity of woody species in Uruguayan native forests?” [Ramírez and Säumel 10.1016/j.agee.2021.107646]. The datasets includ...

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Detalles Bibliográficos
Autores principales: Säumel, Ina, Ramírez, Leonardo R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8603027/
https://www.ncbi.nlm.nih.gov/pubmed/34825024
http://dx.doi.org/10.1016/j.dib.2021.107545
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author Säumel, Ina
Ramírez, Leonardo R.
author_facet Säumel, Ina
Ramírez, Leonardo R.
author_sort Säumel, Ina
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description The presented datasets relate to the research article entitled “Beyond the boundaries: Do spatio-temporal trajectories of land-use change and cross boundary effects shape the diversity of woody species in Uruguayan native forests?” [Ramírez and Säumel 10.1016/j.agee.2021.107646]. The datasets include field survey data on woody species diversity from 32 permanent plots of native forests across the Oriental Republic of Uruguay (South America). Based on land-use maps created with Landsat images we analysed the changes of percentage of cover, the landscape shape index and aggregation index of the different land-use types (i.e., native forest, grassland, timber plantation and crops) in a buffer of 3 km from the central point of each plot. Datasets were produced using ArcGIS and different R and Fragstat packages. Data on woody species diversity, land-use change history inform landscape planning, land-use management, policy and governance and can be used for further meta-analysis with other local, regional or global data sets.
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spelling pubmed-86030272021-11-24 Woody species diversity and land-use change legacy: Dataset across Uruguay Säumel, Ina Ramírez, Leonardo R. Data Brief Data Article The presented datasets relate to the research article entitled “Beyond the boundaries: Do spatio-temporal trajectories of land-use change and cross boundary effects shape the diversity of woody species in Uruguayan native forests?” [Ramírez and Säumel 10.1016/j.agee.2021.107646]. The datasets include field survey data on woody species diversity from 32 permanent plots of native forests across the Oriental Republic of Uruguay (South America). Based on land-use maps created with Landsat images we analysed the changes of percentage of cover, the landscape shape index and aggregation index of the different land-use types (i.e., native forest, grassland, timber plantation and crops) in a buffer of 3 km from the central point of each plot. Datasets were produced using ArcGIS and different R and Fragstat packages. Data on woody species diversity, land-use change history inform landscape planning, land-use management, policy and governance and can be used for further meta-analysis with other local, regional or global data sets. Elsevier 2021-11-07 /pmc/articles/PMC8603027/ /pubmed/34825024 http://dx.doi.org/10.1016/j.dib.2021.107545 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Säumel, Ina
Ramírez, Leonardo R.
Woody species diversity and land-use change legacy: Dataset across Uruguay
title Woody species diversity and land-use change legacy: Dataset across Uruguay
title_full Woody species diversity and land-use change legacy: Dataset across Uruguay
title_fullStr Woody species diversity and land-use change legacy: Dataset across Uruguay
title_full_unstemmed Woody species diversity and land-use change legacy: Dataset across Uruguay
title_short Woody species diversity and land-use change legacy: Dataset across Uruguay
title_sort woody species diversity and land-use change legacy: dataset across uruguay
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8603027/
https://www.ncbi.nlm.nih.gov/pubmed/34825024
http://dx.doi.org/10.1016/j.dib.2021.107545
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