Effects of land use/cover change on carbon storage between 2000 and 2040 in the Yellow River Basin, China

Land use/cover change (LUCC) is the primary source of carbon storage changes in the ecosystem. Up to now, there are few studies about the impacts and driving mechanisms of LUCC for carbon storage in the ecosystem at spatial–temporal scales. Characterizing LUCC of the Yellow River Basin (YRB) and its role in carbon storage are very important and necessary to elucidate the results of human activities on ecosystems. The policies to address potential future risks should be formulated in advance to achieve effective development. In the paper, we regarded the YRB as the study area, analyzed its LUCC during 2000 to 2020, predicted land use patterns in 2040 under the scenarios of natural trend (NT), ecological degradation (ED), and ecological restoration (ER) using Markov model with Patch-generating Land Use Simulation (PLUS) model, and quantified carbon storage in the ecosystems over the last 20 years and under future scenarios according to Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model. The outcome was as follows: (1) During 2000 to 2040, LUCC in the YRB changed markedly, with cropland being transformed into woodland, grassland and built-up land; (2) During 2000 to 2040, carbon storage in the YRB was on an upward trend with a mean annual increase of 1.93×106Mg C, and woodland was the answer to increasing carbon storage, while unused land could induce carbon storage to decrease; (3) Carbon storage in the YRB varied to different degrees under three scenarios, but under the premise of not causing large-scale damage, the conversion of built-up land was an important means of improving carbon storage, greatly enhancing the carbon sequestration efficiency and capacity of the YRB. In conclusion, the future environmental management of the YRB should be continuously oriented to ecological protection and low-carbon development, so that carbon storage in the basin will be able to develop in a benign direction. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Chenglong Xu [verfasserIn] Qibin Zhang [verfasserIn] Qiang Yu [verfasserIn] Jiping Wang [verfasserIn] Fei Wang [verfasserIn] Shi Qiu [verfasserIn] Mingsi Ai [verfasserIn] Jikai Zhao [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	LUCC Carbon storage Markov-PLUS model InVEST model Ecological Policies

Übergeordnetes Werk:	In: Ecological Indicators - Elsevier, 2021, 151(2023), Seite 110345-
Übergeordnetes Werk:	volume:151 ; year:2023 ; pages:110345-

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.ecolind.2023.110345

Katalog-ID:	DOAJ090304586

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allfields	10.1016/j.ecolind.2023.110345 doi (DE-627)DOAJ090304586 (DE-599)DOAJ89ec7db9f3264476bfc0029ec0de9ff9 DE-627 ger DE-627 rakwb eng QH540-549.5 Chenglong Xu verfasserin aut Effects of land use/cover change on carbon storage between 2000 and 2040 in the Yellow River Basin, China 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Land use/cover change (LUCC) is the primary source of carbon storage changes in the ecosystem. Up to now, there are few studies about the impacts and driving mechanisms of LUCC for carbon storage in the ecosystem at spatial–temporal scales. Characterizing LUCC of the Yellow River Basin (YRB) and its role in carbon storage are very important and necessary to elucidate the results of human activities on ecosystems. The policies to address potential future risks should be formulated in advance to achieve effective development. In the paper, we regarded the YRB as the study area, analyzed its LUCC during 2000 to 2020, predicted land use patterns in 2040 under the scenarios of natural trend (NT), ecological degradation (ED), and ecological restoration (ER) using Markov model with Patch-generating Land Use Simulation (PLUS) model, and quantified carbon storage in the ecosystems over the last 20 years and under future scenarios according to Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model. The outcome was as follows: (1) During 2000 to 2040, LUCC in the YRB changed markedly, with cropland being transformed into woodland, grassland and built-up land; (2) During 2000 to 2040, carbon storage in the YRB was on an upward trend with a mean annual increase of 1.93×106Mg C, and woodland was the answer to increasing carbon storage, while unused land could induce carbon storage to decrease; (3) Carbon storage in the YRB varied to different degrees under three scenarios, but under the premise of not causing large-scale damage, the conversion of built-up land was an important means of improving carbon storage, greatly enhancing the carbon sequestration efficiency and capacity of the YRB. In conclusion, the future environmental management of the YRB should be continuously oriented to ecological protection and low-carbon development, so that carbon storage in the basin will be able to develop in a benign direction. LUCC Carbon storage Markov-PLUS model InVEST model Ecological Policies Ecology Qibin Zhang verfasserin aut Qiang Yu verfasserin aut Jiping Wang verfasserin aut Fei Wang verfasserin aut Shi Qiu verfasserin aut Mingsi Ai verfasserin aut Jikai Zhao verfasserin aut In Ecological Indicators Elsevier, 2021 151(2023), Seite 110345- (DE-627)338074163 (DE-600)2063587-4 18727034 nnns volume:151 year:2023 pages:110345- https://doi.org/10.1016/j.ecolind.2023.110345 kostenfrei https://doaj.org/article/89ec7db9f3264476bfc0029ec0de9ff9 kostenfrei http://www.sciencedirect.com/science/article/pii/S1470160X23004879 kostenfrei https://doaj.org/toc/1470-160X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 151 2023 110345-
spelling	10.1016/j.ecolind.2023.110345 doi (DE-627)DOAJ090304586 (DE-599)DOAJ89ec7db9f3264476bfc0029ec0de9ff9 DE-627 ger DE-627 rakwb eng QH540-549.5 Chenglong Xu verfasserin aut Effects of land use/cover change on carbon storage between 2000 and 2040 in the Yellow River Basin, China 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Land use/cover change (LUCC) is the primary source of carbon storage changes in the ecosystem. Up to now, there are few studies about the impacts and driving mechanisms of LUCC for carbon storage in the ecosystem at spatial–temporal scales. Characterizing LUCC of the Yellow River Basin (YRB) and its role in carbon storage are very important and necessary to elucidate the results of human activities on ecosystems. The policies to address potential future risks should be formulated in advance to achieve effective development. In the paper, we regarded the YRB as the study area, analyzed its LUCC during 2000 to 2020, predicted land use patterns in 2040 under the scenarios of natural trend (NT), ecological degradation (ED), and ecological restoration (ER) using Markov model with Patch-generating Land Use Simulation (PLUS) model, and quantified carbon storage in the ecosystems over the last 20 years and under future scenarios according to Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model. The outcome was as follows: (1) During 2000 to 2040, LUCC in the YRB changed markedly, with cropland being transformed into woodland, grassland and built-up land; (2) During 2000 to 2040, carbon storage in the YRB was on an upward trend with a mean annual increase of 1.93×106Mg C, and woodland was the answer to increasing carbon storage, while unused land could induce carbon storage to decrease; (3) Carbon storage in the YRB varied to different degrees under three scenarios, but under the premise of not causing large-scale damage, the conversion of built-up land was an important means of improving carbon storage, greatly enhancing the carbon sequestration efficiency and capacity of the YRB. In conclusion, the future environmental management of the YRB should be continuously oriented to ecological protection and low-carbon development, so that carbon storage in the basin will be able to develop in a benign direction. LUCC Carbon storage Markov-PLUS model InVEST model Ecological Policies Ecology Qibin Zhang verfasserin aut Qiang Yu verfasserin aut Jiping Wang verfasserin aut Fei Wang verfasserin aut Shi Qiu verfasserin aut Mingsi Ai verfasserin aut Jikai Zhao verfasserin aut In Ecological Indicators Elsevier, 2021 151(2023), Seite 110345- (DE-627)338074163 (DE-600)2063587-4 18727034 nnns volume:151 year:2023 pages:110345- https://doi.org/10.1016/j.ecolind.2023.110345 kostenfrei https://doaj.org/article/89ec7db9f3264476bfc0029ec0de9ff9 kostenfrei http://www.sciencedirect.com/science/article/pii/S1470160X23004879 kostenfrei https://doaj.org/toc/1470-160X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 151 2023 110345-
allfields_unstemmed	10.1016/j.ecolind.2023.110345 doi (DE-627)DOAJ090304586 (DE-599)DOAJ89ec7db9f3264476bfc0029ec0de9ff9 DE-627 ger DE-627 rakwb eng QH540-549.5 Chenglong Xu verfasserin aut Effects of land use/cover change on carbon storage between 2000 and 2040 in the Yellow River Basin, China 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Land use/cover change (LUCC) is the primary source of carbon storage changes in the ecosystem. Up to now, there are few studies about the impacts and driving mechanisms of LUCC for carbon storage in the ecosystem at spatial–temporal scales. Characterizing LUCC of the Yellow River Basin (YRB) and its role in carbon storage are very important and necessary to elucidate the results of human activities on ecosystems. The policies to address potential future risks should be formulated in advance to achieve effective development. In the paper, we regarded the YRB as the study area, analyzed its LUCC during 2000 to 2020, predicted land use patterns in 2040 under the scenarios of natural trend (NT), ecological degradation (ED), and ecological restoration (ER) using Markov model with Patch-generating Land Use Simulation (PLUS) model, and quantified carbon storage in the ecosystems over the last 20 years and under future scenarios according to Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model. The outcome was as follows: (1) During 2000 to 2040, LUCC in the YRB changed markedly, with cropland being transformed into woodland, grassland and built-up land; (2) During 2000 to 2040, carbon storage in the YRB was on an upward trend with a mean annual increase of 1.93×106Mg C, and woodland was the answer to increasing carbon storage, while unused land could induce carbon storage to decrease; (3) Carbon storage in the YRB varied to different degrees under three scenarios, but under the premise of not causing large-scale damage, the conversion of built-up land was an important means of improving carbon storage, greatly enhancing the carbon sequestration efficiency and capacity of the YRB. In conclusion, the future environmental management of the YRB should be continuously oriented to ecological protection and low-carbon development, so that carbon storage in the basin will be able to develop in a benign direction. LUCC Carbon storage Markov-PLUS model InVEST model Ecological Policies Ecology Qibin Zhang verfasserin aut Qiang Yu verfasserin aut Jiping Wang verfasserin aut Fei Wang verfasserin aut Shi Qiu verfasserin aut Mingsi Ai verfasserin aut Jikai Zhao verfasserin aut In Ecological Indicators Elsevier, 2021 151(2023), Seite 110345- (DE-627)338074163 (DE-600)2063587-4 18727034 nnns volume:151 year:2023 pages:110345- https://doi.org/10.1016/j.ecolind.2023.110345 kostenfrei https://doaj.org/article/89ec7db9f3264476bfc0029ec0de9ff9 kostenfrei http://www.sciencedirect.com/science/article/pii/S1470160X23004879 kostenfrei https://doaj.org/toc/1470-160X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 151 2023 110345-
allfieldsGer	10.1016/j.ecolind.2023.110345 doi (DE-627)DOAJ090304586 (DE-599)DOAJ89ec7db9f3264476bfc0029ec0de9ff9 DE-627 ger DE-627 rakwb eng QH540-549.5 Chenglong Xu verfasserin aut Effects of land use/cover change on carbon storage between 2000 and 2040 in the Yellow River Basin, China 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Land use/cover change (LUCC) is the primary source of carbon storage changes in the ecosystem. Up to now, there are few studies about the impacts and driving mechanisms of LUCC for carbon storage in the ecosystem at spatial–temporal scales. Characterizing LUCC of the Yellow River Basin (YRB) and its role in carbon storage are very important and necessary to elucidate the results of human activities on ecosystems. The policies to address potential future risks should be formulated in advance to achieve effective development. In the paper, we regarded the YRB as the study area, analyzed its LUCC during 2000 to 2020, predicted land use patterns in 2040 under the scenarios of natural trend (NT), ecological degradation (ED), and ecological restoration (ER) using Markov model with Patch-generating Land Use Simulation (PLUS) model, and quantified carbon storage in the ecosystems over the last 20 years and under future scenarios according to Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model. The outcome was as follows: (1) During 2000 to 2040, LUCC in the YRB changed markedly, with cropland being transformed into woodland, grassland and built-up land; (2) During 2000 to 2040, carbon storage in the YRB was on an upward trend with a mean annual increase of 1.93×106Mg C, and woodland was the answer to increasing carbon storage, while unused land could induce carbon storage to decrease; (3) Carbon storage in the YRB varied to different degrees under three scenarios, but under the premise of not causing large-scale damage, the conversion of built-up land was an important means of improving carbon storage, greatly enhancing the carbon sequestration efficiency and capacity of the YRB. In conclusion, the future environmental management of the YRB should be continuously oriented to ecological protection and low-carbon development, so that carbon storage in the basin will be able to develop in a benign direction. LUCC Carbon storage Markov-PLUS model InVEST model Ecological Policies Ecology Qibin Zhang verfasserin aut Qiang Yu verfasserin aut Jiping Wang verfasserin aut Fei Wang verfasserin aut Shi Qiu verfasserin aut Mingsi Ai verfasserin aut Jikai Zhao verfasserin aut In Ecological Indicators Elsevier, 2021 151(2023), Seite 110345- (DE-627)338074163 (DE-600)2063587-4 18727034 nnns volume:151 year:2023 pages:110345- https://doi.org/10.1016/j.ecolind.2023.110345 kostenfrei https://doaj.org/article/89ec7db9f3264476bfc0029ec0de9ff9 kostenfrei http://www.sciencedirect.com/science/article/pii/S1470160X23004879 kostenfrei https://doaj.org/toc/1470-160X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 151 2023 110345-
allfieldsSound	10.1016/j.ecolind.2023.110345 doi (DE-627)DOAJ090304586 (DE-599)DOAJ89ec7db9f3264476bfc0029ec0de9ff9 DE-627 ger DE-627 rakwb eng QH540-549.5 Chenglong Xu verfasserin aut Effects of land use/cover change on carbon storage between 2000 and 2040 in the Yellow River Basin, China 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Land use/cover change (LUCC) is the primary source of carbon storage changes in the ecosystem. Up to now, there are few studies about the impacts and driving mechanisms of LUCC for carbon storage in the ecosystem at spatial–temporal scales. Characterizing LUCC of the Yellow River Basin (YRB) and its role in carbon storage are very important and necessary to elucidate the results of human activities on ecosystems. The policies to address potential future risks should be formulated in advance to achieve effective development. In the paper, we regarded the YRB as the study area, analyzed its LUCC during 2000 to 2020, predicted land use patterns in 2040 under the scenarios of natural trend (NT), ecological degradation (ED), and ecological restoration (ER) using Markov model with Patch-generating Land Use Simulation (PLUS) model, and quantified carbon storage in the ecosystems over the last 20 years and under future scenarios according to Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model. The outcome was as follows: (1) During 2000 to 2040, LUCC in the YRB changed markedly, with cropland being transformed into woodland, grassland and built-up land; (2) During 2000 to 2040, carbon storage in the YRB was on an upward trend with a mean annual increase of 1.93×106Mg C, and woodland was the answer to increasing carbon storage, while unused land could induce carbon storage to decrease; (3) Carbon storage in the YRB varied to different degrees under three scenarios, but under the premise of not causing large-scale damage, the conversion of built-up land was an important means of improving carbon storage, greatly enhancing the carbon sequestration efficiency and capacity of the YRB. In conclusion, the future environmental management of the YRB should be continuously oriented to ecological protection and low-carbon development, so that carbon storage in the basin will be able to develop in a benign direction. LUCC Carbon storage Markov-PLUS model InVEST model Ecological Policies Ecology Qibin Zhang verfasserin aut Qiang Yu verfasserin aut Jiping Wang verfasserin aut Fei Wang verfasserin aut Shi Qiu verfasserin aut Mingsi Ai verfasserin aut Jikai Zhao verfasserin aut In Ecological Indicators Elsevier, 2021 151(2023), Seite 110345- (DE-627)338074163 (DE-600)2063587-4 18727034 nnns volume:151 year:2023 pages:110345- https://doi.org/10.1016/j.ecolind.2023.110345 kostenfrei https://doaj.org/article/89ec7db9f3264476bfc0029ec0de9ff9 kostenfrei http://www.sciencedirect.com/science/article/pii/S1470160X23004879 kostenfrei https://doaj.org/toc/1470-160X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 151 2023 110345-
language	English
source	In Ecological Indicators 151(2023), Seite 110345- volume:151 year:2023 pages:110345-
sourceStr	In Ecological Indicators 151(2023), Seite 110345- volume:151 year:2023 pages:110345-
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	LUCC Carbon storage Markov-PLUS model InVEST model Ecological Policies Ecology
isfreeaccess_bool	true
container_title	Ecological Indicators
authorswithroles_txt_mv	Chenglong Xu @@aut@@ Qibin Zhang @@aut@@ Qiang Yu @@aut@@ Jiping Wang @@aut@@ Fei Wang @@aut@@ Shi Qiu @@aut@@ Mingsi Ai @@aut@@ Jikai Zhao @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	338074163
id	DOAJ090304586
language_de	englisch
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Up to now, there are few studies about the impacts and driving mechanisms of LUCC for carbon storage in the ecosystem at spatial–temporal scales. Characterizing LUCC of the Yellow River Basin (YRB) and its role in carbon storage are very important and necessary to elucidate the results of human activities on ecosystems. The policies to address potential future risks should be formulated in advance to achieve effective development. In the paper, we regarded the YRB as the study area, analyzed its LUCC during 2000 to 2020, predicted land use patterns in 2040 under the scenarios of natural trend (NT), ecological degradation (ED), and ecological restoration (ER) using Markov model with Patch-generating Land Use Simulation (PLUS) model, and quantified carbon storage in the ecosystems over the last 20 years and under future scenarios according to Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model. The outcome was as follows: (1) During 2000 to 2040, LUCC in the YRB changed markedly, with cropland being transformed into woodland, grassland and built-up land; (2) During 2000 to 2040, carbon storage in the YRB was on an upward trend with a mean annual increase of 1.93×106Mg C, and woodland was the answer to increasing carbon storage, while unused land could induce carbon storage to decrease; (3) Carbon storage in the YRB varied to different degrees under three scenarios, but under the premise of not causing large-scale damage, the conversion of built-up land was an important means of improving carbon storage, greatly enhancing the carbon sequestration efficiency and capacity of the YRB. 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callnumber-first	Q - Science
author	Chenglong Xu
spellingShingle	Chenglong Xu misc QH540-549.5 misc LUCC misc Carbon storage misc Markov-PLUS model misc InVEST model misc Ecological Policies misc Ecology Effects of land use/cover change on carbon storage between 2000 and 2040 in the Yellow River Basin, China
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topic_title	QH540-549.5 Effects of land use/cover change on carbon storage between 2000 and 2040 in the Yellow River Basin, China LUCC Carbon storage Markov-PLUS model InVEST model Ecological Policies
topic	misc QH540-549.5 misc LUCC misc Carbon storage misc Markov-PLUS model misc InVEST model misc Ecological Policies misc Ecology
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title	Effects of land use/cover change on carbon storage between 2000 and 2040 in the Yellow River Basin, China
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title_full	Effects of land use/cover change on carbon storage between 2000 and 2040 in the Yellow River Basin, China
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author_browse	Chenglong Xu Qibin Zhang Qiang Yu Jiping Wang Fei Wang Shi Qiu Mingsi Ai Jikai Zhao
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title_sort	effects of land use/cover change on carbon storage between 2000 and 2040 in the yellow river basin, china
callnumber	QH540-549.5
title_auth	Effects of land use/cover change on carbon storage between 2000 and 2040 in the Yellow River Basin, China
abstract	Land use/cover change (LUCC) is the primary source of carbon storage changes in the ecosystem. Up to now, there are few studies about the impacts and driving mechanisms of LUCC for carbon storage in the ecosystem at spatial–temporal scales. Characterizing LUCC of the Yellow River Basin (YRB) and its role in carbon storage are very important and necessary to elucidate the results of human activities on ecosystems. The policies to address potential future risks should be formulated in advance to achieve effective development. In the paper, we regarded the YRB as the study area, analyzed its LUCC during 2000 to 2020, predicted land use patterns in 2040 under the scenarios of natural trend (NT), ecological degradation (ED), and ecological restoration (ER) using Markov model with Patch-generating Land Use Simulation (PLUS) model, and quantified carbon storage in the ecosystems over the last 20 years and under future scenarios according to Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model. The outcome was as follows: (1) During 2000 to 2040, LUCC in the YRB changed markedly, with cropland being transformed into woodland, grassland and built-up land; (2) During 2000 to 2040, carbon storage in the YRB was on an upward trend with a mean annual increase of 1.93×106Mg C, and woodland was the answer to increasing carbon storage, while unused land could induce carbon storage to decrease; (3) Carbon storage in the YRB varied to different degrees under three scenarios, but under the premise of not causing large-scale damage, the conversion of built-up land was an important means of improving carbon storage, greatly enhancing the carbon sequestration efficiency and capacity of the YRB. In conclusion, the future environmental management of the YRB should be continuously oriented to ecological protection and low-carbon development, so that carbon storage in the basin will be able to develop in a benign direction.
abstractGer	Land use/cover change (LUCC) is the primary source of carbon storage changes in the ecosystem. Up to now, there are few studies about the impacts and driving mechanisms of LUCC for carbon storage in the ecosystem at spatial–temporal scales. Characterizing LUCC of the Yellow River Basin (YRB) and its role in carbon storage are very important and necessary to elucidate the results of human activities on ecosystems. The policies to address potential future risks should be formulated in advance to achieve effective development. In the paper, we regarded the YRB as the study area, analyzed its LUCC during 2000 to 2020, predicted land use patterns in 2040 under the scenarios of natural trend (NT), ecological degradation (ED), and ecological restoration (ER) using Markov model with Patch-generating Land Use Simulation (PLUS) model, and quantified carbon storage in the ecosystems over the last 20 years and under future scenarios according to Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model. The outcome was as follows: (1) During 2000 to 2040, LUCC in the YRB changed markedly, with cropland being transformed into woodland, grassland and built-up land; (2) During 2000 to 2040, carbon storage in the YRB was on an upward trend with a mean annual increase of 1.93×106Mg C, and woodland was the answer to increasing carbon storage, while unused land could induce carbon storage to decrease; (3) Carbon storage in the YRB varied to different degrees under three scenarios, but under the premise of not causing large-scale damage, the conversion of built-up land was an important means of improving carbon storage, greatly enhancing the carbon sequestration efficiency and capacity of the YRB. In conclusion, the future environmental management of the YRB should be continuously oriented to ecological protection and low-carbon development, so that carbon storage in the basin will be able to develop in a benign direction.
abstract_unstemmed	Land use/cover change (LUCC) is the primary source of carbon storage changes in the ecosystem. Up to now, there are few studies about the impacts and driving mechanisms of LUCC for carbon storage in the ecosystem at spatial–temporal scales. Characterizing LUCC of the Yellow River Basin (YRB) and its role in carbon storage are very important and necessary to elucidate the results of human activities on ecosystems. The policies to address potential future risks should be formulated in advance to achieve effective development. In the paper, we regarded the YRB as the study area, analyzed its LUCC during 2000 to 2020, predicted land use patterns in 2040 under the scenarios of natural trend (NT), ecological degradation (ED), and ecological restoration (ER) using Markov model with Patch-generating Land Use Simulation (PLUS) model, and quantified carbon storage in the ecosystems over the last 20 years and under future scenarios according to Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model. The outcome was as follows: (1) During 2000 to 2040, LUCC in the YRB changed markedly, with cropland being transformed into woodland, grassland and built-up land; (2) During 2000 to 2040, carbon storage in the YRB was on an upward trend with a mean annual increase of 1.93×106Mg C, and woodland was the answer to increasing carbon storage, while unused land could induce carbon storage to decrease; (3) Carbon storage in the YRB varied to different degrees under three scenarios, but under the premise of not causing large-scale damage, the conversion of built-up land was an important means of improving carbon storage, greatly enhancing the carbon sequestration efficiency and capacity of the YRB. In conclusion, the future environmental management of the YRB should be continuously oriented to ecological protection and low-carbon development, so that carbon storage in the basin will be able to develop in a benign direction.
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title_short	Effects of land use/cover change on carbon storage between 2000 and 2040 in the Yellow River Basin, China
url	https://doi.org/10.1016/j.ecolind.2023.110345 https://doaj.org/article/89ec7db9f3264476bfc0029ec0de9ff9 http://www.sciencedirect.com/science/article/pii/S1470160X23004879 https://doaj.org/toc/1470-160X
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Effects of land use/cover change on carbon storage between 2000 and 2040 in the Yellow River Basin, China

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