Land Use Increases the Correlation between Tree Cover and Biomass Carbon Stocks in the Global Tropics

Tree cover (TC) and biomass carbon stocks (CS) are key parameters for characterizing vegetation and are indispensable for assessing the role of terrestrial ecosystems in the global climate system. Land use, through land cover change and land management, affects both parameters. In this study, we qua...

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Autores principales:	Manan Bhan, Simone Gingrich, Sarah Matej, Steffen Fritz, Karl-Heinz Erb
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	tree cover biomass carbon stocks land use change tropical ecosystems ecosystem change Agriculture S
Acceso en línea:	https://doaj.org/article/8a57292b856d498687105fb1176ef783
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spelling	oai:doaj.org-article:8a57292b856d498687105fb1176ef7832021-11-25T18:09:44ZLand Use Increases the Correlation between Tree Cover and Biomass Carbon Stocks in the Global Tropics10.3390/land101112172073-445Xhttps://doaj.org/article/8a57292b856d498687105fb1176ef7832021-11-01T00:00:00Zhttps://www.mdpi.com/2073-445X/10/11/1217https://doaj.org/toc/2073-445XTree cover (TC) and biomass carbon stocks (CS) are key parameters for characterizing vegetation and are indispensable for assessing the role of terrestrial ecosystems in the global climate system. Land use, through land cover change and land management, affects both parameters. In this study, we quantify the empirical relationship between TC and CS and demonstrate the impacts of land use by combining spatially explicit estimates of TC and CS in actual and potential vegetation (i.e., in the hypothetical absence of land use) across the global tropics (~23.4° N to 23.4° S). We find that land use strongly alters both TC and CS, with stronger effects on CS than on TC across tropical biomes, especially in tropical moist forests. In comparison to the TC-CS correlation observed in the potential vegetation (biome-level R based on tropical ecozones = 0.56–0.90), land use strongly increases this correlation (biome-level R based on tropical ecozones = 0.87–0.94) in the actual vegetation. Increased correlations are not only the effects of land cover change. We additionally identify land management impacts in closed forests, which cause CS reductions. Our large-scale assessment of the TC-CS relationship can inform upcoming remote sensing efforts to map ecosystem structure in high spatio-temporal detail and highlights the need for an explicit focus on land management impacts in the tropics.Manan BhanSimone GingrichSarah MatejSteffen FritzKarl-Heinz ErbMDPI AGarticletree coverbiomass carbon stocksland use changetropical ecosystemsecosystem changeAgricultureSENLand, Vol 10, Iss 1217, p 1217 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	tree cover biomass carbon stocks land use change tropical ecosystems ecosystem change Agriculture S
spellingShingle	tree cover biomass carbon stocks land use change tropical ecosystems ecosystem change Agriculture S Manan Bhan Simone Gingrich Sarah Matej Steffen Fritz Karl-Heinz Erb Land Use Increases the Correlation between Tree Cover and Biomass Carbon Stocks in the Global Tropics
description	Tree cover (TC) and biomass carbon stocks (CS) are key parameters for characterizing vegetation and are indispensable for assessing the role of terrestrial ecosystems in the global climate system. Land use, through land cover change and land management, affects both parameters. In this study, we quantify the empirical relationship between TC and CS and demonstrate the impacts of land use by combining spatially explicit estimates of TC and CS in actual and potential vegetation (i.e., in the hypothetical absence of land use) across the global tropics (~23.4° N to 23.4° S). We find that land use strongly alters both TC and CS, with stronger effects on CS than on TC across tropical biomes, especially in tropical moist forests. In comparison to the TC-CS correlation observed in the potential vegetation (biome-level R based on tropical ecozones = 0.56–0.90), land use strongly increases this correlation (biome-level R based on tropical ecozones = 0.87–0.94) in the actual vegetation. Increased correlations are not only the effects of land cover change. We additionally identify land management impacts in closed forests, which cause CS reductions. Our large-scale assessment of the TC-CS relationship can inform upcoming remote sensing efforts to map ecosystem structure in high spatio-temporal detail and highlights the need for an explicit focus on land management impacts in the tropics.
format	article
author	Manan Bhan Simone Gingrich Sarah Matej Steffen Fritz Karl-Heinz Erb
author_facet	Manan Bhan Simone Gingrich Sarah Matej Steffen Fritz Karl-Heinz Erb
author_sort	Manan Bhan
title	Land Use Increases the Correlation between Tree Cover and Biomass Carbon Stocks in the Global Tropics
title_short	Land Use Increases the Correlation between Tree Cover and Biomass Carbon Stocks in the Global Tropics
title_full	Land Use Increases the Correlation between Tree Cover and Biomass Carbon Stocks in the Global Tropics
title_fullStr	Land Use Increases the Correlation between Tree Cover and Biomass Carbon Stocks in the Global Tropics
title_full_unstemmed	Land Use Increases the Correlation between Tree Cover and Biomass Carbon Stocks in the Global Tropics
title_sort	land use increases the correlation between tree cover and biomass carbon stocks in the global tropics
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/8a57292b856d498687105fb1176ef783
work_keys_str_mv	AT mananbhan landuseincreasesthecorrelationbetweentreecoverandbiomasscarbonstocksintheglobaltropics AT simonegingrich landuseincreasesthecorrelationbetweentreecoverandbiomasscarbonstocksintheglobaltropics AT sarahmatej landuseincreasesthecorrelationbetweentreecoverandbiomasscarbonstocksintheglobaltropics AT steffenfritz landuseincreasesthecorrelationbetweentreecoverandbiomasscarbonstocksintheglobaltropics AT karlheinzerb landuseincreasesthecorrelationbetweentreecoverandbiomasscarbonstocksintheglobaltropics
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Land Use Increases the Correlation between Tree Cover and Biomass Carbon Stocks in the Global Tropics

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