A framework for identifying carbon hotspots and forest management drivers

Spatial analyses of ecosystem system services that are directly relevant to both forest management decision making and conservation in the subtropics are rare. Also, frameworks that identify and map carbon stocks and corresponding forest management drivers using available regional, national, and int...

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Autores Principales: Escobedo, Francisco Javier, Timilsina, Nilesh, Wendell, P, Cropper, Jr, Brandeis, Thomas J, Delphin, Sonia, Lambert, Samuel
Formato: Artículo (Article)
Lenguaje:Inglés (English)
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://repository.urosario.edu.co/handle/10336/27453
https://doi.org/10.1016/j.jenvman.2012.10.020
id ir-10336-27453
recordtype dspace
spelling ir-10336-274532020-08-19T14:42:15Z A framework for identifying carbon hotspots and forest management drivers Un marco para identificar los puntos críticos de carbono y los impulsores del manejo forestal Escobedo, Francisco Javier Timilsina, Nilesh Wendell, P Cropper, Jr Brandeis, Thomas J Delphin, Sonia Lambert, Samuel Hotspot analysis Forest carbon Florida Spatial statistics Ecosystem service drivers Forest disturbance Spatial analyses of ecosystem system services that are directly relevant to both forest management decision making and conservation in the subtropics are rare. Also, frameworks that identify and map carbon stocks and corresponding forest management drivers using available regional, national, and international-level forest inventory datasets could provide insights into key forest structural characteristics and management practices that are optimal for carbon storage. To address this need we used publicly available USDA Forest Service Forest Inventory and Analysis data and spatial analyses to develop a framework for mapping “carbon hotspots” (i.e. areas of significantly high tree and understory aboveground carbon stocks) across a range of forest types using the state of Florida, USA as an example. We also analyzed influential forest management variables (e.g. forest types, fire, hurricanes, tenure, management activities) using generalized linear mixed modeling to identify drivers associated with these hotspots. Most of the hotspots were located in the northern third of the state some in peri-urban areas, and there were no identifiable hotspots in South Florida. Forest silvicultural treatments (e.g. site preparation, thinning, logging, etc) were not significant predictors of hotspots. 2016-01-15 2020-08-19T14:42:15Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion ISSN: 0301-4797 EISSN: 1095-8630 https://repository.urosario.edu.co/handle/10336/27453 https://doi.org/10.1016/j.jenvman.2012.10.020 eng info:eu-repo/semantics/restrictedAccess application/pdf Elsevier Journal of Environmental Management, Advances in Environmental Research
institution EdocUR - Universidad del Rosario
collection DSpace
language Inglés (English)
topic Hotspot analysis
Forest carbon
Florida
Spatial statistics
Ecosystem service drivers
Forest disturbance
spellingShingle Hotspot analysis
Forest carbon
Florida
Spatial statistics
Ecosystem service drivers
Forest disturbance
Escobedo, Francisco Javier
Timilsina, Nilesh
Wendell, P
Cropper, Jr
Brandeis, Thomas J
Delphin, Sonia
Lambert, Samuel
A framework for identifying carbon hotspots and forest management drivers
description Spatial analyses of ecosystem system services that are directly relevant to both forest management decision making and conservation in the subtropics are rare. Also, frameworks that identify and map carbon stocks and corresponding forest management drivers using available regional, national, and international-level forest inventory datasets could provide insights into key forest structural characteristics and management practices that are optimal for carbon storage. To address this need we used publicly available USDA Forest Service Forest Inventory and Analysis data and spatial analyses to develop a framework for mapping “carbon hotspots” (i.e. areas of significantly high tree and understory aboveground carbon stocks) across a range of forest types using the state of Florida, USA as an example. We also analyzed influential forest management variables (e.g. forest types, fire, hurricanes, tenure, management activities) using generalized linear mixed modeling to identify drivers associated with these hotspots. Most of the hotspots were located in the northern third of the state some in peri-urban areas, and there were no identifiable hotspots in South Florida. Forest silvicultural treatments (e.g. site preparation, thinning, logging, etc) were not significant predictors of hotspots.
format Artículo (Article)
author Escobedo, Francisco Javier
Timilsina, Nilesh
Wendell, P
Cropper, Jr
Brandeis, Thomas J
Delphin, Sonia
Lambert, Samuel
author_facet Escobedo, Francisco Javier
Timilsina, Nilesh
Wendell, P
Cropper, Jr
Brandeis, Thomas J
Delphin, Sonia
Lambert, Samuel
author_sort Escobedo, Francisco Javier
title A framework for identifying carbon hotspots and forest management drivers
title_short A framework for identifying carbon hotspots and forest management drivers
title_full A framework for identifying carbon hotspots and forest management drivers
title_fullStr A framework for identifying carbon hotspots and forest management drivers
title_full_unstemmed A framework for identifying carbon hotspots and forest management drivers
title_sort framework for identifying carbon hotspots and forest management drivers
publisher Elsevier
publishDate 2016
url https://repository.urosario.edu.co/handle/10336/27453
https://doi.org/10.1016/j.jenvman.2012.10.020
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score 11,366519