Vegetation, herbivores and fires in savanna ecosystems: A network perspective
The dynamics of savanna ecosystems depends on the interplay between multiple factors such as grazing, browsing, fires, rainfall regime and interactions between grass and woody vegetation. In most modelling applications this interplay may not be fully understood because some of these drivers enter th...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2016
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/23876
- Acceso en línea:
- https://doi.org/10.1016/j.ecocom.2016.10.001
https://repository.urosario.edu.co/handle/10336/23876
- Palabra clave:
- Cause and effect mechanisms
Complex systems
Fires
Loop analysis
Positive feedback
Savanna ecosystems
- Rights
- License
- Abierto (Texto Completo)
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1bcd17f0-d2af-4c7f-94f6-d0c85258dbcb4508116002020-05-26T00:06:18Z2020-05-26T00:06:18Z2016The dynamics of savanna ecosystems depends on the interplay between multiple factors such as grazing, browsing, fires, rainfall regime and interactions between grass and woody vegetation. In most modelling applications this interplay may not be fully understood because some of these drivers enter the models as dynamically independent factors. In this paper we consider such factors as dynamic variables. To analyze their interplay we focus on the structure of the interactive network of variables and exploit the properties of signed digraphs using the algorithm of Loop Analysis. Qualitative signed digraphs for the savanna ecosystem are developed and their predictions used to interpret patterns of abundance observed in case studies selected from the literature. The outcomes of this exercise unveil that: 1) the structure of the interactions is appropriate locus for the explanation of patterns observed in savannas; 2) signed digraph can help disentangling causative mechanisms by linking correlation patterns, source of change and network structure. This study highlights that central to the understanding of savanna dynamics is our ability to diagram the important relationships and understand how they interrelate with sources of variations to cause ecosystem change. © 2016 Elsevier B.V.application/pdfhttps://doi.org/10.1016/j.ecocom.2016.10.0011476945Xhttps://repository.urosario.edu.co/handle/10336/23876engElsevier B.V.4636Ecological ComplexityVol. 28Ecological Complexity, ISSN:1476945X, Vol.28,(2016); pp. 36-46https://www.scopus.com/inward/record.uri?eid=2-s2.0-84993968483&doi=10.1016%2fj.ecocom.2016.10.001&partnerID=40&md5=31f6162e16c50db055e45d54680b2006Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURCause and effect mechanismsComplex systemsFiresLoop analysisPositive feedbackSavanna ecosystemsVegetation, herbivores and fires in savanna ecosystems: A network perspectivearticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Bodini A.Clerici, Nicola10336/23876oai:repository.urosario.edu.co:10336/238762022-05-02 07:37:17.941332https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co |
dc.title.spa.fl_str_mv |
Vegetation, herbivores and fires in savanna ecosystems: A network perspective |
title |
Vegetation, herbivores and fires in savanna ecosystems: A network perspective |
spellingShingle |
Vegetation, herbivores and fires in savanna ecosystems: A network perspective Cause and effect mechanisms Complex systems Fires Loop analysis Positive feedback Savanna ecosystems |
title_short |
Vegetation, herbivores and fires in savanna ecosystems: A network perspective |
title_full |
Vegetation, herbivores and fires in savanna ecosystems: A network perspective |
title_fullStr |
Vegetation, herbivores and fires in savanna ecosystems: A network perspective |
title_full_unstemmed |
Vegetation, herbivores and fires in savanna ecosystems: A network perspective |
title_sort |
Vegetation, herbivores and fires in savanna ecosystems: A network perspective |
dc.subject.keyword.spa.fl_str_mv |
Cause and effect mechanisms Complex systems Fires Loop analysis Positive feedback Savanna ecosystems |
topic |
Cause and effect mechanisms Complex systems Fires Loop analysis Positive feedback Savanna ecosystems |
description |
The dynamics of savanna ecosystems depends on the interplay between multiple factors such as grazing, browsing, fires, rainfall regime and interactions between grass and woody vegetation. In most modelling applications this interplay may not be fully understood because some of these drivers enter the models as dynamically independent factors. In this paper we consider such factors as dynamic variables. To analyze their interplay we focus on the structure of the interactive network of variables and exploit the properties of signed digraphs using the algorithm of Loop Analysis. Qualitative signed digraphs for the savanna ecosystem are developed and their predictions used to interpret patterns of abundance observed in case studies selected from the literature. The outcomes of this exercise unveil that: 1) the structure of the interactions is appropriate locus for the explanation of patterns observed in savannas; 2) signed digraph can help disentangling causative mechanisms by linking correlation patterns, source of change and network structure. This study highlights that central to the understanding of savanna dynamics is our ability to diagram the important relationships and understand how they interrelate with sources of variations to cause ecosystem change. © 2016 Elsevier B.V. |
publishDate |
2016 |
dc.date.created.spa.fl_str_mv |
2016 |
dc.date.accessioned.none.fl_str_mv |
2020-05-26T00:06:18Z |
dc.date.available.none.fl_str_mv |
2020-05-26T00:06:18Z |
dc.type.eng.fl_str_mv |
article |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.spa.spa.fl_str_mv |
Artículo |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1016/j.ecocom.2016.10.001 |
dc.identifier.issn.none.fl_str_mv |
1476945X |
dc.identifier.uri.none.fl_str_mv |
https://repository.urosario.edu.co/handle/10336/23876 |
url |
https://doi.org/10.1016/j.ecocom.2016.10.001 https://repository.urosario.edu.co/handle/10336/23876 |
identifier_str_mv |
1476945X |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.citationEndPage.none.fl_str_mv |
46 |
dc.relation.citationStartPage.none.fl_str_mv |
36 |
dc.relation.citationTitle.none.fl_str_mv |
Ecological Complexity |
dc.relation.citationVolume.none.fl_str_mv |
Vol. 28 |
dc.relation.ispartof.spa.fl_str_mv |
Ecological Complexity, ISSN:1476945X, Vol.28,(2016); pp. 36-46 |
dc.relation.uri.spa.fl_str_mv |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84993968483&doi=10.1016%2fj.ecocom.2016.10.001&partnerID=40&md5=31f6162e16c50db055e45d54680b2006 |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.acceso.spa.fl_str_mv |
Abierto (Texto Completo) |
rights_invalid_str_mv |
Abierto (Texto Completo) http://purl.org/coar/access_right/c_abf2 |
dc.format.mimetype.none.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
Elsevier B.V. |
institution |
Universidad del Rosario |
dc.source.instname.spa.fl_str_mv |
instname:Universidad del Rosario |
dc.source.reponame.spa.fl_str_mv |
reponame:Repositorio Institucional EdocUR |
repository.name.fl_str_mv |
Repositorio institucional EdocUR |
repository.mail.fl_str_mv |
edocur@urosario.edu.co |
_version_ |
1818106572793970688 |