Measuring forest fragmentation using multitemporal forest cover maps: Forest loss and spatial pattern analysis in the Gran Chaco, central Argentina

Autores
Carranza, María Laura; Hoyos, Laura Emilia; Frate, Ludovico; Acosta, Alicia T. R.; Cabido, Marcelo Ruben
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Forest fragmentation is a landscape-level process that consists of two interdependent components: forestloss and spatial pattern changes to which species respond differently. Efficient programs to conservenative biodiversity require a sound understanding of the relation between forest cover and the spatialpattern of forest fragments, but these issues remain almost unknown for subtropical ecosystems.We examine the forest fragmentation of the Gran Chaco in central Argentina over the last 30 years. Inparticular, we quantify forest loss and spatial pattern changes using random sampling techniques onmulti-temporal forest cover maps (1979, 1999 and 2010). We analyzed forest fragmentation accordingto the following steps: (i) selection of fragmentation pattern indices (PIs), (ii) sampling on forest covermaps and PIs calculation, (iii) statistical comparison by bootstrapping, and (iv) trajectory analysis. Duringthe last three decades, forest cover declined dramatically (∼90%) and the selected pattern metrics (MPS,PD, ED) varied significantly (p < 0.05). The results depict a devastating situation of Gran Chaco forestswith a progressive reduction to few small fragments during the last decades. Furthermore when forestloss exceeded the∼50% of the total land area, the temporal trajectories of the selected PIs underwentan abrupt change. Distinguishing habitat spatial pattern changes from forest loss over time supports theidentification of specific conservation actions and provide the basis to establish the lower threshold offorest cover and the more effective arrangement of fragments necessary to mitigate the fragmentationeffects.
Fil: Carranza, María Laura. Università degli Studi del Molise; Italia
Fil: Hoyos, Laura Emilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina
Fil: Frate, Ludovico. Università degli Studi del Molise; Italia. Istituto di Biologia Agro-Ambientale e Forestal; Italia
Fil: Acosta, Alicia T. R.. Università degli Studi di Roma; Italia
Fil: Cabido, Marcelo Ruben. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina
Materia
Subtropical Dry Forests
Pattern Indices
Sampling
Relationship Space
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/12603
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Measuring forest fragmentation using multitemporal forest cover maps: Forest loss and spatial pattern analysis in the Gran Chaco, central ArgentinaCarranza, María LauraHoyos, Laura EmiliaFrate, LudovicoAcosta, Alicia T. R.Cabido, Marcelo RubenSubtropical Dry ForestsPattern IndicesSamplingRelationship Spacehttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Forest fragmentation is a landscape-level process that consists of two interdependent components: forestloss and spatial pattern changes to which species respond differently. Efficient programs to conservenative biodiversity require a sound understanding of the relation between forest cover and the spatialpattern of forest fragments, but these issues remain almost unknown for subtropical ecosystems.We examine the forest fragmentation of the Gran Chaco in central Argentina over the last 30 years. Inparticular, we quantify forest loss and spatial pattern changes using random sampling techniques onmulti-temporal forest cover maps (1979, 1999 and 2010). We analyzed forest fragmentation accordingto the following steps: (i) selection of fragmentation pattern indices (PIs), (ii) sampling on forest covermaps and PIs calculation, (iii) statistical comparison by bootstrapping, and (iv) trajectory analysis. Duringthe last three decades, forest cover declined dramatically (∼90%) and the selected pattern metrics (MPS,PD, ED) varied significantly (p < 0.05). The results depict a devastating situation of Gran Chaco forestswith a progressive reduction to few small fragments during the last decades. Furthermore when forestloss exceeded the∼50% of the total land area, the temporal trajectories of the selected PIs underwentan abrupt change. Distinguishing habitat spatial pattern changes from forest loss over time supports theidentification of specific conservation actions and provide the basis to establish the lower threshold offorest cover and the more effective arrangement of fragments necessary to mitigate the fragmentationeffects.Fil: Carranza, María Laura. Università degli Studi del Molise; ItaliaFil: Hoyos, Laura Emilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); ArgentinaFil: Frate, Ludovico. Università degli Studi del Molise; Italia. Istituto di Biologia Agro-Ambientale e Forestal; ItaliaFil: Acosta, Alicia T. R.. Università degli Studi di Roma; ItaliaFil: Cabido, Marcelo Ruben. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); ArgentinaElsevier Science2015-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/12603Carranza, María Laura; Hoyos, Laura Emilia; Frate, Ludovico; Acosta, Alicia T. R.; Cabido, Marcelo Ruben; Measuring forest fragmentation using multitemporal forest cover maps: Forest loss and spatial pattern analysis in the Gran Chaco, central Argentina; Elsevier Science; Landscape And Urban Planning; 143; 8-2015; 238-2470169-2046enginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.landurbplan.2015.08.006info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0169204615001619info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:03:44Zoai:ri.conicet.gov.ar:11336/12603instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:03:44.502CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Measuring forest fragmentation using multitemporal forest cover maps: Forest loss and spatial pattern analysis in the Gran Chaco, central Argentina
title Measuring forest fragmentation using multitemporal forest cover maps: Forest loss and spatial pattern analysis in the Gran Chaco, central Argentina
spellingShingle Measuring forest fragmentation using multitemporal forest cover maps: Forest loss and spatial pattern analysis in the Gran Chaco, central Argentina
Carranza, María Laura
Subtropical Dry Forests
Pattern Indices
Sampling
Relationship Space
title_short Measuring forest fragmentation using multitemporal forest cover maps: Forest loss and spatial pattern analysis in the Gran Chaco, central Argentina
title_full Measuring forest fragmentation using multitemporal forest cover maps: Forest loss and spatial pattern analysis in the Gran Chaco, central Argentina
title_fullStr Measuring forest fragmentation using multitemporal forest cover maps: Forest loss and spatial pattern analysis in the Gran Chaco, central Argentina
title_full_unstemmed Measuring forest fragmentation using multitemporal forest cover maps: Forest loss and spatial pattern analysis in the Gran Chaco, central Argentina
title_sort Measuring forest fragmentation using multitemporal forest cover maps: Forest loss and spatial pattern analysis in the Gran Chaco, central Argentina
dc.creator.none.fl_str_mv Carranza, María Laura
Hoyos, Laura Emilia
Frate, Ludovico
Acosta, Alicia T. R.
Cabido, Marcelo Ruben
author Carranza, María Laura
author_facet Carranza, María Laura
Hoyos, Laura Emilia
Frate, Ludovico
Acosta, Alicia T. R.
Cabido, Marcelo Ruben
author_role author
author2 Hoyos, Laura Emilia
Frate, Ludovico
Acosta, Alicia T. R.
Cabido, Marcelo Ruben
author2_role author
author
author
author
dc.subject.none.fl_str_mv Subtropical Dry Forests
Pattern Indices
Sampling
Relationship Space
topic Subtropical Dry Forests
Pattern Indices
Sampling
Relationship Space
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Forest fragmentation is a landscape-level process that consists of two interdependent components: forestloss and spatial pattern changes to which species respond differently. Efficient programs to conservenative biodiversity require a sound understanding of the relation between forest cover and the spatialpattern of forest fragments, but these issues remain almost unknown for subtropical ecosystems.We examine the forest fragmentation of the Gran Chaco in central Argentina over the last 30 years. Inparticular, we quantify forest loss and spatial pattern changes using random sampling techniques onmulti-temporal forest cover maps (1979, 1999 and 2010). We analyzed forest fragmentation accordingto the following steps: (i) selection of fragmentation pattern indices (PIs), (ii) sampling on forest covermaps and PIs calculation, (iii) statistical comparison by bootstrapping, and (iv) trajectory analysis. Duringthe last three decades, forest cover declined dramatically (∼90%) and the selected pattern metrics (MPS,PD, ED) varied significantly (p < 0.05). The results depict a devastating situation of Gran Chaco forestswith a progressive reduction to few small fragments during the last decades. Furthermore when forestloss exceeded the∼50% of the total land area, the temporal trajectories of the selected PIs underwentan abrupt change. Distinguishing habitat spatial pattern changes from forest loss over time supports theidentification of specific conservation actions and provide the basis to establish the lower threshold offorest cover and the more effective arrangement of fragments necessary to mitigate the fragmentationeffects.
Fil: Carranza, María Laura. Università degli Studi del Molise; Italia
Fil: Hoyos, Laura Emilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina
Fil: Frate, Ludovico. Università degli Studi del Molise; Italia. Istituto di Biologia Agro-Ambientale e Forestal; Italia
Fil: Acosta, Alicia T. R.. Università degli Studi di Roma; Italia
Fil: Cabido, Marcelo Ruben. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina
description Forest fragmentation is a landscape-level process that consists of two interdependent components: forestloss and spatial pattern changes to which species respond differently. Efficient programs to conservenative biodiversity require a sound understanding of the relation between forest cover and the spatialpattern of forest fragments, but these issues remain almost unknown for subtropical ecosystems.We examine the forest fragmentation of the Gran Chaco in central Argentina over the last 30 years. Inparticular, we quantify forest loss and spatial pattern changes using random sampling techniques onmulti-temporal forest cover maps (1979, 1999 and 2010). We analyzed forest fragmentation accordingto the following steps: (i) selection of fragmentation pattern indices (PIs), (ii) sampling on forest covermaps and PIs calculation, (iii) statistical comparison by bootstrapping, and (iv) trajectory analysis. Duringthe last three decades, forest cover declined dramatically (∼90%) and the selected pattern metrics (MPS,PD, ED) varied significantly (p < 0.05). The results depict a devastating situation of Gran Chaco forestswith a progressive reduction to few small fragments during the last decades. Furthermore when forestloss exceeded the∼50% of the total land area, the temporal trajectories of the selected PIs underwentan abrupt change. Distinguishing habitat spatial pattern changes from forest loss over time supports theidentification of specific conservation actions and provide the basis to establish the lower threshold offorest cover and the more effective arrangement of fragments necessary to mitigate the fragmentationeffects.
publishDate 2015
dc.date.none.fl_str_mv 2015-08
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/12603
Carranza, María Laura; Hoyos, Laura Emilia; Frate, Ludovico; Acosta, Alicia T. R.; Cabido, Marcelo Ruben; Measuring forest fragmentation using multitemporal forest cover maps: Forest loss and spatial pattern analysis in the Gran Chaco, central Argentina; Elsevier Science; Landscape And Urban Planning; 143; 8-2015; 238-247
0169-2046
url http://hdl.handle.net/11336/12603
identifier_str_mv Carranza, María Laura; Hoyos, Laura Emilia; Frate, Ludovico; Acosta, Alicia T. R.; Cabido, Marcelo Ruben; Measuring forest fragmentation using multitemporal forest cover maps: Forest loss and spatial pattern analysis in the Gran Chaco, central Argentina; Elsevier Science; Landscape And Urban Planning; 143; 8-2015; 238-247
0169-2046
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.landurbplan.2015.08.006
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0169204615001619
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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