Replication Data for: Biotically driven vegetation mosaics in grazing ecosystems

Data files for the paper: Howison et al (2017). Biotically driven vegetation mosaics in grazing ecosystems: the battle between bioturbation and biocompaction. Ecol Monogr. BifurcationModel.zip Bifurcation model resulting in figures 2 and 3, designed and written by Johan van de Koppel and Ruth Howiso...

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Main Authors: Howison, R.A., Olff, H., van de Koppel, J., Smit, C.
Language:English
Published: DataverseNL 2017
Subjects:
Online Access:https://doi.org/10.34894/CFY17F
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record_format openpolar
spelling ftdataversenl:doi:10.34894/CFY17F 2024-06-16T07:42:41+00:00 Replication Data for: Biotically driven vegetation mosaics in grazing ecosystems Howison, R.A. Olff, H. van de Koppel, J. Smit, C. Howison, R.A. 2017-04-28 https://doi.org/10.34894/CFY17F English eng DataverseNL https://doi.org/10.34894/CFY17F Earth and Environmental Sciences grazing vegetation mosaics bioturbation biocompaction 2017 ftdataversenl https://doi.org/10.34894/CFY17F 2024-05-23T07:19:00Z Data files for the paper: Howison et al (2017). Biotically driven vegetation mosaics in grazing ecosystems: the battle between bioturbation and biocompaction. Ecol Monogr. BifurcationModel.zip Bifurcation model resulting in figures 2 and 3, designed and written by Johan van de Koppel and Ruth Howison, using R (R Core Team (2015). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL: https://www.R-project.org/ . Phase planes depicting the bifurcation analysis of simple plant-herbivore models, showing the more classical A) Herbivore-plant quality feedback, and B) Water-infiltration feedback. Phase planes depicting the bifurcation analysis of plant-herbivore models with bioturbation, showing that the interplay between bioturbation and biocompaction strongly expands the conditions under which heterogeneity can persist in grazing ecosystems, with A) only bioturbation feedback and B) the consequence of combining bioturbation and biocompaction feedbacks. GIS_Rainfall_Texture_Analysis.zip Analysis by Ruth Howison and Han Olff, using ESRI ArcMap 10.3 for Desktop Global prediction of the regions where patchiness generated by bioturbation and biocompaction is possible, eliminating for unsuitable conditions, specifically certain soil characteristics and rainfall. Incompatible soils include; permafrost, sand (> 70% sand fraction and < 15% clay fraction), organic soil (histosols or > 20% organic material dry mass), and rainfall < 400 and > 1200 mm/yr and representing limits to forage quantity and quality required to maintain large herbivores. Data sources used: 1) Harmonized World Soil Database (HWSD) version 1.21 2) Rainfall parameters were delineated using the global precipitation surface available from BioClim.org (Hijmans et al. 2005). Other/Unknown Material permafrost DataverseNL
institution Open Polar
collection DataverseNL
op_collection_id ftdataversenl
language English
topic Earth and Environmental Sciences
grazing
vegetation mosaics
bioturbation
biocompaction
spellingShingle Earth and Environmental Sciences
grazing
vegetation mosaics
bioturbation
biocompaction
Howison, R.A.
Olff, H.
van de Koppel, J.
Smit, C.
Replication Data for: Biotically driven vegetation mosaics in grazing ecosystems
topic_facet Earth and Environmental Sciences
grazing
vegetation mosaics
bioturbation
biocompaction
description Data files for the paper: Howison et al (2017). Biotically driven vegetation mosaics in grazing ecosystems: the battle between bioturbation and biocompaction. Ecol Monogr. BifurcationModel.zip Bifurcation model resulting in figures 2 and 3, designed and written by Johan van de Koppel and Ruth Howison, using R (R Core Team (2015). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL: https://www.R-project.org/ . Phase planes depicting the bifurcation analysis of simple plant-herbivore models, showing the more classical A) Herbivore-plant quality feedback, and B) Water-infiltration feedback. Phase planes depicting the bifurcation analysis of plant-herbivore models with bioturbation, showing that the interplay between bioturbation and biocompaction strongly expands the conditions under which heterogeneity can persist in grazing ecosystems, with A) only bioturbation feedback and B) the consequence of combining bioturbation and biocompaction feedbacks. GIS_Rainfall_Texture_Analysis.zip Analysis by Ruth Howison and Han Olff, using ESRI ArcMap 10.3 for Desktop Global prediction of the regions where patchiness generated by bioturbation and biocompaction is possible, eliminating for unsuitable conditions, specifically certain soil characteristics and rainfall. Incompatible soils include; permafrost, sand (> 70% sand fraction and < 15% clay fraction), organic soil (histosols or > 20% organic material dry mass), and rainfall < 400 and > 1200 mm/yr and representing limits to forage quantity and quality required to maintain large herbivores. Data sources used: 1) Harmonized World Soil Database (HWSD) version 1.21 2) Rainfall parameters were delineated using the global precipitation surface available from BioClim.org (Hijmans et al. 2005).
author2 Howison, R.A.
author Howison, R.A.
Olff, H.
van de Koppel, J.
Smit, C.
author_facet Howison, R.A.
Olff, H.
van de Koppel, J.
Smit, C.
author_sort Howison, R.A.
title Replication Data for: Biotically driven vegetation mosaics in grazing ecosystems
title_short Replication Data for: Biotically driven vegetation mosaics in grazing ecosystems
title_full Replication Data for: Biotically driven vegetation mosaics in grazing ecosystems
title_fullStr Replication Data for: Biotically driven vegetation mosaics in grazing ecosystems
title_full_unstemmed Replication Data for: Biotically driven vegetation mosaics in grazing ecosystems
title_sort replication data for: biotically driven vegetation mosaics in grazing ecosystems
publisher DataverseNL
publishDate 2017
url https://doi.org/10.34894/CFY17F
genre permafrost
genre_facet permafrost
op_relation https://doi.org/10.34894/CFY17F
op_doi https://doi.org/10.34894/CFY17F
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