Spatial congruence among indicators of recovery completeness in a Mediterranean forest landscape: Implications for planning large-scale restoration

Natural regeneration has been proposed as a cost-effective forest restoration approach for both small and large-scale initiatives. However, attributes for assessing the success of forest restoration through natural regeneration may vary among them in spatial patterns depending on the scale of analys...

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Autores: Altamirano, Adison, Miranda, Alejandro, Meli, Paula, Dehennin, Joris, Muys, Bart, Prado, Marco, Catalán, Germán, Smith Ramírez, Cecilia, Bustamante Sánchez, Marcela, Lisón, Fulgencio, Rey Benayas, José María|||0000-0002-2099-8512
Tipo de recurso: artículo
Fecha de publicación:2019
País:España
Institución:Universidad de Alcalá (UAH)
Repositorio:e_Buah Biblioteca Digital Universidad de Alcalá
Idioma:inglés
OAI Identifier:oai:ebuah.uah.es:10017/38638
Acceso en línea:http://hdl.handle.net/10017/38638
https://dx.doi.org/10.1016/j.ecolind.2019.03.046
Access Level:acceso abierto
Palabra clave:Boosted regression tree
Landscape forest restoration
Vegetation recovery
Natural regeneration
Restoration indicator
Medio Ambiente
Environmental science
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spelling Spatial congruence among indicators of recovery completeness in a Mediterranean forest landscape: Implications for planning large-scale restorationAltamirano, AdisonMiranda, AlejandroMeli, PaulaDehennin, JorisMuys, BartPrado, MarcoCatalán, GermánSmith Ramírez, CeciliaBustamante Sánchez, MarcelaLisón, FulgencioRey Benayas, José María|||0000-0002-2099-8512Boosted regression treeLandscape forest restorationVegetation recoveryNatural regenerationRestoration indicatorMedio AmbienteEnvironmental scienceNatural regeneration has been proposed as a cost-effective forest restoration approach for both small and large-scale initiatives. However, attributes for assessing the success of forest restoration through natural regeneration may vary among them in spatial patterns depending on the scale of analysis and on environmental gradients. Here we analysed the spatial patterns of recovery completeness (i.e. how similar attributes in restored forests are to the same attributes in reference forests) in response to environmental factors in a Mediterranean forest landscape of Central Chile. We evaluated (1) forest recovery completeness using basal area (BA), quadratic mean diameter (QMD), adult species density (ASD), adult species richness (ASR), and seedling species richness (SSR); (2) the spatial congruence of recovery completeness estimated by each of these indicators; and (3) the environmental factors potentially shaping these spatial patterns. We used field measurements and geospatial information sources to quantify and predict indicator responses by fitting boosted regression tree models. To assess the spatial congruence of predictions we overlaid high-level recovery completeness values for all indicators. Overall recovery completeness in the study area was 72.7%, suggesting positive prospects for attaining fully restored forests. Recovery completeness had a resulted higher for diversity (92.3%-99.6%) than structural forest attributes (33.5%-76.9%); however, spatial congruence among recovery indicators was low due to the uneven spatial responses of each indicator. The maximum potential spatial congruence was <10%, and was predicted only by two environmental variables (soil bulk density and slope). Our results suggest that low spatial congruence among forest recovery indicators may hinder the monitoring of restoration at large scales. The implications of such divergence in defining restoration success can be enormous given the current global challenge of forest restoration. Although our research was tested in a threatened region of global importance, our results may have wider significance for restoration planning providing cautionary notes and recommendations for the appropriate use of forest recovery indicators when monitoring large-scale restoration projects.Comisión Nacional de Investigación Científica y TecnológicaFondo Nacional de Desarrollo Científico y TecnológicoFondo de Fomento al Desarrollo Científico y TecnológicoFondo de Financiamiento de Centros de Investigación en Áreas PrioritariasFundação de Amparo à Pesquisa do Estado de São Paulo20192019-01-0120192019-01-0120212021-07-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10017/38638https://dx.doi.org/10.1016/j.ecolind.2019.03.046reponame:e_Buah Biblioteca Digital Universidad de Alcaláinstname:Universidad de Alcalá (UAH)InglésengFONDECYT Not available Grant 1171445FONDEF Not available Grant CA13I10276CONICYT Not available FONDAP%2F15110009CONICYT Not available Grant PAI80160058FAPESP Not available 2016 BRCONICYT Not available FONDAP%2F15110009open accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:ebuah.uah.es:10017/386382026-06-18T11:13:07Z
dc.title.none.fl_str_mv Spatial congruence among indicators of recovery completeness in a Mediterranean forest landscape: Implications for planning large-scale restoration
title Spatial congruence among indicators of recovery completeness in a Mediterranean forest landscape: Implications for planning large-scale restoration
spellingShingle Spatial congruence among indicators of recovery completeness in a Mediterranean forest landscape: Implications for planning large-scale restoration
Altamirano, Adison
Boosted regression tree
Landscape forest restoration
Vegetation recovery
Natural regeneration
Restoration indicator
Medio Ambiente
Environmental science
title_short Spatial congruence among indicators of recovery completeness in a Mediterranean forest landscape: Implications for planning large-scale restoration
title_full Spatial congruence among indicators of recovery completeness in a Mediterranean forest landscape: Implications for planning large-scale restoration
title_fullStr Spatial congruence among indicators of recovery completeness in a Mediterranean forest landscape: Implications for planning large-scale restoration
title_full_unstemmed Spatial congruence among indicators of recovery completeness in a Mediterranean forest landscape: Implications for planning large-scale restoration
title_sort Spatial congruence among indicators of recovery completeness in a Mediterranean forest landscape: Implications for planning large-scale restoration
dc.creator.none.fl_str_mv Altamirano, Adison
Miranda, Alejandro
Meli, Paula
Dehennin, Joris
Muys, Bart
Prado, Marco
Catalán, Germán
Smith Ramírez, Cecilia
Bustamante Sánchez, Marcela
Lisón, Fulgencio
Rey Benayas, José María|||0000-0002-2099-8512
author Altamirano, Adison
author_facet Altamirano, Adison
Miranda, Alejandro
Meli, Paula
Dehennin, Joris
Muys, Bart
Prado, Marco
Catalán, Germán
Smith Ramírez, Cecilia
Bustamante Sánchez, Marcela
Lisón, Fulgencio
Rey Benayas, José María|||0000-0002-2099-8512
author_role author
author2 Miranda, Alejandro
Meli, Paula
Dehennin, Joris
Muys, Bart
Prado, Marco
Catalán, Germán
Smith Ramírez, Cecilia
Bustamante Sánchez, Marcela
Lisón, Fulgencio
Rey Benayas, José María|||0000-0002-2099-8512
author2_role author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Boosted regression tree
Landscape forest restoration
Vegetation recovery
Natural regeneration
Restoration indicator
Medio Ambiente
Environmental science
topic Boosted regression tree
Landscape forest restoration
Vegetation recovery
Natural regeneration
Restoration indicator
Medio Ambiente
Environmental science
description Natural regeneration has been proposed as a cost-effective forest restoration approach for both small and large-scale initiatives. However, attributes for assessing the success of forest restoration through natural regeneration may vary among them in spatial patterns depending on the scale of analysis and on environmental gradients. Here we analysed the spatial patterns of recovery completeness (i.e. how similar attributes in restored forests are to the same attributes in reference forests) in response to environmental factors in a Mediterranean forest landscape of Central Chile. We evaluated (1) forest recovery completeness using basal area (BA), quadratic mean diameter (QMD), adult species density (ASD), adult species richness (ASR), and seedling species richness (SSR); (2) the spatial congruence of recovery completeness estimated by each of these indicators; and (3) the environmental factors potentially shaping these spatial patterns. We used field measurements and geospatial information sources to quantify and predict indicator responses by fitting boosted regression tree models. To assess the spatial congruence of predictions we overlaid high-level recovery completeness values for all indicators. Overall recovery completeness in the study area was 72.7%, suggesting positive prospects for attaining fully restored forests. Recovery completeness had a resulted higher for diversity (92.3%-99.6%) than structural forest attributes (33.5%-76.9%); however, spatial congruence among recovery indicators was low due to the uneven spatial responses of each indicator. The maximum potential spatial congruence was <10%, and was predicted only by two environmental variables (soil bulk density and slope). Our results suggest that low spatial congruence among forest recovery indicators may hinder the monitoring of restoration at large scales. The implications of such divergence in defining restoration success can be enormous given the current global challenge of forest restoration. Although our research was tested in a threatened region of global importance, our results may have wider significance for restoration planning providing cautionary notes and recommendations for the appropriate use of forest recovery indicators when monitoring large-scale restoration projects.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-01-01
2019
2019-01-01
2021
2021-07-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10017/38638
https://dx.doi.org/10.1016/j.ecolind.2019.03.046
url http://hdl.handle.net/10017/38638
https://dx.doi.org/10.1016/j.ecolind.2019.03.046
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv FONDECYT Not available Grant 1171445
FONDEF Not available Grant CA13I10276
CONICYT Not available FONDAP%2F15110009
CONICYT Not available Grant PAI80160058
FAPESP Not available 2016 BR
CONICYT Not available FONDAP%2F15110009
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:e_Buah Biblioteca Digital Universidad de Alcalá
instname:Universidad de Alcalá (UAH)
instname_str Universidad de Alcalá (UAH)
reponame_str e_Buah Biblioteca Digital Universidad de Alcalá
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