Dataset for Strong floristic distinctiveness across Neotropical successional forests

sThis dataset is part of the 2ndFOR network on secondary forests (www.2ndfor.com). It contains the list of tree species (dbh>=5cm) found in secondary forests younger than 21 years after abandonment, located in 75 landscapes across the Neotropics. All secondary forests were previously used as pasture and/or agriculture. This data supported the study Jakovac et al 2022. Strong floristic distinctiveness across Neotropical successional forests. Science Advances. More information on the data collection can be found in the publication. File "dataset_sppList.csv" contains for each site (called "landscape" as in the publication) the list of tree species found in secondary forest plots. The number of plots and area of plots sampled in each site varies. Such information is available upon request. File "dataset_predictors" conatains for each site (called "landscape" as in the publication) the values for the environmental predictors used in the final analyses. All values are averages of predictor values extracted for each vegetation plot wihtin a site. The description of the variables headings is below: [1,] "landscape" = site [2,] "lat_mean" = latitude of the site [3,] "long_mean" = longitude of the site [4,] "Age_mean" = average age of the secondary forests sampled in each site. Age is defined as the time since abandonment, and was derived from field intervirews or remote sensing. [5,] "CWD_mean" = climatic water deficit (J. Chave, Long term climatic water deficit, p. ., (available at https://chave.ups-tlse.fr/pantropical_allometry.htm). [6,] "HFP2009_mean" = human footprint for the year 2009 (O. Venter, E. W. Sanderson, A. Magrach, J. R. Allan, J. Beher, K. R. Jones, H. P. Possingham, W. F. Laurance, P. Wood, B. M. Fekete, M. A. Levy, J. E. M. Watson, Global terrestrial Human Footprint maps for 1993 and 2009. Sci. Data. 3, 1–10 (2016).) [7,] "MAP_mean" = mean annual precipitation from the Chelsea database [8,] "TS_mean" = temperature seasonality from the Chelsea database [9,] "bdod_mean" = soil bulk density from the SoilGrids database (kg/dm³) [10,] "cec_mean" = soil cation exchange capacity from the SoilGrids database (cmol(c)/kg) [11,] "clay_mean" = soil clay content from the SoilGrids database (%) [12,] "N_mean" = soil nitrogen content from the SoilGrids database (g/kg) [13,] "phh2o_mean" = pH in water from the SoilGrids database (pH) [14,] "sand_mean" = soil sand content from the SoilGrids database (%) [15,] "silt_mean" = soil silt content from the SoilGrids database (%) [16,] "elev_mean" = elevation from SRTM (J. J. Danielson, D. B. Gesch, “Global multi-resolution terrain elevation data 2010 (GMTED2010)” (2011), , doi:10.3133/ofr20111073.) [17,] "human_mod_mean" = human modification index (C. M. Kennedy, J. R. Oakleaf, D. M. Theobald, S. Baruch‐Mordo, J. Kiesecker, Managing the middle: A shift in conservation priorities based on the global human modification gradient. Glob. Chang. Biol. 25, 811–826 (2019).) [18,] "for_cover_5000_mean" = percentage of forest cover within 500m. Forest cover maps from Copernicus Global Land Cover Layer collection 3. M. Buchhorn, M. Lesiv, N.-E. Tsendbazar, M. Herold, L. Bertels, B. Smets, Copernicus Global Land Cover Layers—Collection 2. Remote Sens. 12, 1044 (2020).

Saved in:
Bibliographic Details
Main Authors: Jakovac, Catarina C., Meave, Jorge A., Poorter, Lourens
Format: Dataset biblioteca
Published: Wageningen University & Research
Subjects:Biological sciences, Botany, Ecology, Forest succession, species distribution,
Online Access:https://research.wur.nl/en/datasets/dataset-for-strong-floristic-distinctiveness-across-neotropical-s
Tags: Add Tag
No Tags, Be the first to tag this record!
id dig-wur-nl-wurpubs-608578
record_format koha
institution WUR NL
collection DSpace
country Países bajos
countrycode NL
component Bibliográfico
access En linea
databasecode dig-wur-nl
tag biblioteca
region Europa del Oeste
libraryname WUR Library Netherlands
topic Biological sciences
Botany
Ecology
Forest succession
species distribution
Biological sciences
Botany
Ecology
Forest succession
species distribution
spellingShingle Biological sciences
Botany
Ecology
Forest succession
species distribution
Biological sciences
Botany
Ecology
Forest succession
species distribution
Jakovac, Catarina C.
Meave, Jorge A.
Poorter, Lourens
Dataset for Strong floristic distinctiveness across Neotropical successional forests
description sThis dataset is part of the 2ndFOR network on secondary forests (www.2ndfor.com). It contains the list of tree species (dbh>=5cm) found in secondary forests younger than 21 years after abandonment, located in 75 landscapes across the Neotropics. All secondary forests were previously used as pasture and/or agriculture. This data supported the study Jakovac et al 2022. Strong floristic distinctiveness across Neotropical successional forests. Science Advances. More information on the data collection can be found in the publication. File "dataset_sppList.csv" contains for each site (called "landscape" as in the publication) the list of tree species found in secondary forest plots. The number of plots and area of plots sampled in each site varies. Such information is available upon request. File "dataset_predictors" conatains for each site (called "landscape" as in the publication) the values for the environmental predictors used in the final analyses. All values are averages of predictor values extracted for each vegetation plot wihtin a site. The description of the variables headings is below: [1,] "landscape" = site [2,] "lat_mean" = latitude of the site [3,] "long_mean" = longitude of the site [4,] "Age_mean" = average age of the secondary forests sampled in each site. Age is defined as the time since abandonment, and was derived from field intervirews or remote sensing. [5,] "CWD_mean" = climatic water deficit (J. Chave, Long term climatic water deficit, p. ., (available at https://chave.ups-tlse.fr/pantropical_allometry.htm). [6,] "HFP2009_mean" = human footprint for the year 2009 (O. Venter, E. W. Sanderson, A. Magrach, J. R. Allan, J. Beher, K. R. Jones, H. P. Possingham, W. F. Laurance, P. Wood, B. M. Fekete, M. A. Levy, J. E. M. Watson, Global terrestrial Human Footprint maps for 1993 and 2009. Sci. Data. 3, 1–10 (2016).) [7,] "MAP_mean" = mean annual precipitation from the Chelsea database [8,] "TS_mean" = temperature seasonality from the Chelsea database [9,] "bdod_mean" = soil bulk density from the SoilGrids database (kg/dm³) [10,] "cec_mean" = soil cation exchange capacity from the SoilGrids database (cmol(c)/kg) [11,] "clay_mean" = soil clay content from the SoilGrids database (%) [12,] "N_mean" = soil nitrogen content from the SoilGrids database (g/kg) [13,] "phh2o_mean" = pH in water from the SoilGrids database (pH) [14,] "sand_mean" = soil sand content from the SoilGrids database (%) [15,] "silt_mean" = soil silt content from the SoilGrids database (%) [16,] "elev_mean" = elevation from SRTM (J. J. Danielson, D. B. Gesch, “Global multi-resolution terrain elevation data 2010 (GMTED2010)” (2011), , doi:10.3133/ofr20111073.) [17,] "human_mod_mean" = human modification index (C. M. Kennedy, J. R. Oakleaf, D. M. Theobald, S. Baruch‐Mordo, J. Kiesecker, Managing the middle: A shift in conservation priorities based on the global human modification gradient. Glob. Chang. Biol. 25, 811–826 (2019).) [18,] "for_cover_5000_mean" = percentage of forest cover within 500m. Forest cover maps from Copernicus Global Land Cover Layer collection 3. M. Buchhorn, M. Lesiv, N.-E. Tsendbazar, M. Herold, L. Bertels, B. Smets, Copernicus Global Land Cover Layers—Collection 2. Remote Sens. 12, 1044 (2020).
format Dataset
topic_facet Biological sciences
Botany
Ecology
Forest succession
species distribution
author Jakovac, Catarina C.
Meave, Jorge A.
Poorter, Lourens
author_facet Jakovac, Catarina C.
Meave, Jorge A.
Poorter, Lourens
author_sort Jakovac, Catarina C.
title Dataset for Strong floristic distinctiveness across Neotropical successional forests
title_short Dataset for Strong floristic distinctiveness across Neotropical successional forests
title_full Dataset for Strong floristic distinctiveness across Neotropical successional forests
title_fullStr Dataset for Strong floristic distinctiveness across Neotropical successional forests
title_full_unstemmed Dataset for Strong floristic distinctiveness across Neotropical successional forests
title_sort dataset for strong floristic distinctiveness across neotropical successional forests
publisher Wageningen University & Research
url https://research.wur.nl/en/datasets/dataset-for-strong-floristic-distinctiveness-across-neotropical-s
work_keys_str_mv AT jakovaccatarinac datasetforstrongfloristicdistinctivenessacrossneotropicalsuccessionalforests
AT meavejorgea datasetforstrongfloristicdistinctivenessacrossneotropicalsuccessionalforests
AT poorterlourens datasetforstrongfloristicdistinctivenessacrossneotropicalsuccessionalforests
_version_ 1813193756493479936
spelling dig-wur-nl-wurpubs-6085782024-06-25 Jakovac, Catarina C. Meave, Jorge A. Poorter, Lourens Dataset Dataset for Strong floristic distinctiveness across Neotropical successional forests 2022 sThis dataset is part of the 2ndFOR network on secondary forests (www.2ndfor.com). It contains the list of tree species (dbh>=5cm) found in secondary forests younger than 21 years after abandonment, located in 75 landscapes across the Neotropics. All secondary forests were previously used as pasture and/or agriculture. This data supported the study Jakovac et al 2022. Strong floristic distinctiveness across Neotropical successional forests. Science Advances. More information on the data collection can be found in the publication. File "dataset_sppList.csv" contains for each site (called "landscape" as in the publication) the list of tree species found in secondary forest plots. The number of plots and area of plots sampled in each site varies. Such information is available upon request. File "dataset_predictors" conatains for each site (called "landscape" as in the publication) the values for the environmental predictors used in the final analyses. All values are averages of predictor values extracted for each vegetation plot wihtin a site. The description of the variables headings is below: [1,] "landscape" = site [2,] "lat_mean" = latitude of the site [3,] "long_mean" = longitude of the site [4,] "Age_mean" = average age of the secondary forests sampled in each site. Age is defined as the time since abandonment, and was derived from field intervirews or remote sensing. [5,] "CWD_mean" = climatic water deficit (J. Chave, Long term climatic water deficit, p. ., (available at https://chave.ups-tlse.fr/pantropical_allometry.htm). [6,] "HFP2009_mean" = human footprint for the year 2009 (O. Venter, E. W. Sanderson, A. Magrach, J. R. Allan, J. Beher, K. R. Jones, H. P. Possingham, W. F. Laurance, P. Wood, B. M. Fekete, M. A. Levy, J. E. M. Watson, Global terrestrial Human Footprint maps for 1993 and 2009. Sci. Data. 3, 1–10 (2016).) [7,] "MAP_mean" = mean annual precipitation from the Chelsea database [8,] "TS_mean" = temperature seasonality from the Chelsea database [9,] "bdod_mean" = soil bulk density from the SoilGrids database (kg/dm³) [10,] "cec_mean" = soil cation exchange capacity from the SoilGrids database (cmol(c)/kg) [11,] "clay_mean" = soil clay content from the SoilGrids database (%) [12,] "N_mean" = soil nitrogen content from the SoilGrids database (g/kg) [13,] "phh2o_mean" = pH in water from the SoilGrids database (pH) [14,] "sand_mean" = soil sand content from the SoilGrids database (%) [15,] "silt_mean" = soil silt content from the SoilGrids database (%) [16,] "elev_mean" = elevation from SRTM (J. J. Danielson, D. B. Gesch, “Global multi-resolution terrain elevation data 2010 (GMTED2010)” (2011), , doi:10.3133/ofr20111073.) [17,] "human_mod_mean" = human modification index (C. M. Kennedy, J. R. Oakleaf, D. M. Theobald, S. Baruch‐Mordo, J. Kiesecker, Managing the middle: A shift in conservation priorities based on the global human modification gradient. Glob. Chang. Biol. 25, 811–826 (2019).) [18,] "for_cover_5000_mean" = percentage of forest cover within 500m. Forest cover maps from Copernicus Global Land Cover Layer collection 3. M. Buchhorn, M. Lesiv, N.-E. Tsendbazar, M. Herold, L. Bertels, B. Smets, Copernicus Global Land Cover Layers—Collection 2. Remote Sens. 12, 1044 (2020). sThis dataset is part of the 2ndFOR network on secondary forests (www.2ndfor.com). It contains the list of tree species (dbh>=5cm) found in secondary forests younger than 21 years after abandonment, located in 75 landscapes across the Neotropics. All secondary forests were previously used as pasture and/or agriculture. This data supported the study Jakovac et al 2022. Strong floristic distinctiveness across Neotropical successional forests. Science Advances. More information on the data collection can be found in the publication. File "dataset_sppList.csv" contains for each site (called "landscape" as in the publication) the list of tree species found in secondary forest plots. The number of plots and area of plots sampled in each site varies. Such information is available upon request. File "dataset_predictors" conatains for each site (called "landscape" as in the publication) the values for the environmental predictors used in the final analyses. All values are averages of predictor values extracted for each vegetation plot wihtin a site. The description of the variables headings is below: [1,] "landscape" = site [2,] "lat_mean" = latitude of the site [3,] "long_mean" = longitude of the site [4,] "Age_mean" = average age of the secondary forests sampled in each site. Age is defined as the time since abandonment, and was derived from field intervirews or remote sensing. [5,] "CWD_mean" = climatic water deficit (J. Chave, Long term climatic water deficit, p. ., (available at https://chave.ups-tlse.fr/pantropical_allometry.htm). [6,] "HFP2009_mean" = human footprint for the year 2009 (O. Venter, E. W. Sanderson, A. Magrach, J. R. Allan, J. Beher, K. R. Jones, H. P. Possingham, W. F. Laurance, P. Wood, B. M. Fekete, M. A. Levy, J. E. M. Watson, Global terrestrial Human Footprint maps for 1993 and 2009. Sci. Data. 3, 1–10 (2016).) [7,] "MAP_mean" = mean annual precipitation from the Chelsea database [8,] "TS_mean" = temperature seasonality from the Chelsea database [9,] "bdod_mean" = soil bulk density from the SoilGrids database (kg/dm³) [10,] "cec_mean" = soil cation exchange capacity from the SoilGrids database (cmol(c)/kg) [11,] "clay_mean" = soil clay content from the SoilGrids database (%) [12,] "N_mean" = soil nitrogen content from the SoilGrids database (g/kg) [13,] "phh2o_mean" = pH in water from the SoilGrids database (pH) [14,] "sand_mean" = soil sand content from the SoilGrids database (%) [15,] "silt_mean" = soil silt content from the SoilGrids database (%) [16,] "elev_mean" = elevation from SRTM (J. J. Danielson, D. B. Gesch, “Global multi-resolution terrain elevation data 2010 (GMTED2010)” (2011), , doi:10.3133/ofr20111073.) [17,] "human_mod_mean" = human modification index (C. M. Kennedy, J. R. Oakleaf, D. M. Theobald, S. Baruch‐Mordo, J. Kiesecker, Managing the middle: A shift in conservation priorities based on the global human modification gradient. Glob. Chang. Biol. 25, 811–826 (2019).) [18,] "for_cover_5000_mean" = percentage of forest cover within 500m. Forest cover maps from Copernicus Global Land Cover Layer collection 3. M. Buchhorn, M. Lesiv, N.-E. Tsendbazar, M. Herold, L. Bertels, B. Smets, Copernicus Global Land Cover Layers—Collection 2. Remote Sens. 12, 1044 (2020). Wageningen University & Research text/html https://research.wur.nl/en/datasets/dataset-for-strong-floristic-distinctiveness-across-neotropical-s 10.17026/dans-2c5-a7bc https://edepot.wur.nl/585469 Biological sciences Botany Ecology Forest succession species distribution Wageningen University & Research