Changes and response mechanisms of leaf area index and evapotranspiration in the typical natural landscapes of the Loess Plateau in northern Shaanxi of China under the human intervention
Exploring the relationship between human activity, vegetation leaf area index (LAI), and land surface evapotranspiration (ET) on the Loess Plateau in northern Shaanxi is crucial for maintaining regional ecosystem functions and optimally allocating water resources. This study investigated the driving...
Ausführliche Beschreibung
Autor*in: |
Shang, Xue [verfasserIn] He, Zhaoquan [verfasserIn] Chen, Wenbo [verfasserIn] He, Lei [verfasserIn] Yang, Huan [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2023 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Ecological indicators - Amsterdam [u.a.] : Elsevier Science, 2001, 154 |
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Übergeordnetes Werk: |
volume:154 |
DOI / URN: |
10.1016/j.ecolind.2023.110517 |
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Katalog-ID: |
ELV064382036 |
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520 | |a Exploring the relationship between human activity, vegetation leaf area index (LAI), and land surface evapotranspiration (ET) on the Loess Plateau in northern Shaanxi is crucial for maintaining regional ecosystem functions and optimally allocating water resources. This study investigated the driving mechanism of LAI on ET under the intervention of the human activity intensity (HAIS) by analyzing seasonal and interannual variability characteristics and processes using remote sensing data of land use, LAI, and ET in typical natural landscapes (forest, grassland, and desert) in northern Shaanxi from 2000 to 2020. The primary findings were: (1) In the previous two decades, grassland HAIS was the largest, mainly distributed in central districts and counties, and gradually decreasing. The LAI and ET were ranked as follows: forest > grassland > desert, with an interannually increasing tendency, and the yearly mean LAI and ET of forest reached 2.18 and 16.47 mm, respectively. (2) The LAI and ET of the three typical natural landscapes changed substantially during the growing season (April-October) of vegetation, which increased and then decreased, reaching a maximum in June-August. The LAI and ET displayed noticeable numerical clustering among the months, with higher and concentrated values in June-August and lower values in April, May, and October. (3) Forest and grassland HAIS negatively affected LAI, and detrimentally regulated ET by primarily influencing LAI4-LAI7 (LAI from April to July). Desert HAIS had a significant positive link with the LAI and primarily regulated ET by positively influencing LAI6-LAI10. Compared to forest and grassland, the coregulatory effect of LAI on ET in the desert lagged relatively in the month. Our study recommends accelerating the conversion of the desert to forest and grassland on the Loess Plateau in northern Shaanxi for stabilizing landscape ecosystem function and the reciprocal feedback between vegetation and water resources faster. | ||
650 | 4 | |a Leaf area index | |
650 | 4 | |a Evapotranspiration | |
650 | 4 | |a Driving mechanism | |
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10.1016/j.ecolind.2023.110517 doi (DE-627)ELV064382036 (ELSEVIER)S1470-160X(23)00659-3 DE-627 ger DE-627 rda eng 570 630 VZ BIODIV DE-30 fid Shang, Xue verfasserin aut Changes and response mechanisms of leaf area index and evapotranspiration in the typical natural landscapes of the Loess Plateau in northern Shaanxi of China under the human intervention 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Exploring the relationship between human activity, vegetation leaf area index (LAI), and land surface evapotranspiration (ET) on the Loess Plateau in northern Shaanxi is crucial for maintaining regional ecosystem functions and optimally allocating water resources. This study investigated the driving mechanism of LAI on ET under the intervention of the human activity intensity (HAIS) by analyzing seasonal and interannual variability characteristics and processes using remote sensing data of land use, LAI, and ET in typical natural landscapes (forest, grassland, and desert) in northern Shaanxi from 2000 to 2020. The primary findings were: (1) In the previous two decades, grassland HAIS was the largest, mainly distributed in central districts and counties, and gradually decreasing. The LAI and ET were ranked as follows: forest > grassland > desert, with an interannually increasing tendency, and the yearly mean LAI and ET of forest reached 2.18 and 16.47 mm, respectively. (2) The LAI and ET of the three typical natural landscapes changed substantially during the growing season (April-October) of vegetation, which increased and then decreased, reaching a maximum in June-August. The LAI and ET displayed noticeable numerical clustering among the months, with higher and concentrated values in June-August and lower values in April, May, and October. (3) Forest and grassland HAIS negatively affected LAI, and detrimentally regulated ET by primarily influencing LAI4-LAI7 (LAI from April to July). Desert HAIS had a significant positive link with the LAI and primarily regulated ET by positively influencing LAI6-LAI10. Compared to forest and grassland, the coregulatory effect of LAI on ET in the desert lagged relatively in the month. Our study recommends accelerating the conversion of the desert to forest and grassland on the Loess Plateau in northern Shaanxi for stabilizing landscape ecosystem function and the reciprocal feedback between vegetation and water resources faster. Leaf area index Evapotranspiration Driving mechanism Human activity Loess Plateau in northern Shaanxi He, Zhaoquan verfasserin aut Chen, Wenbo verfasserin aut He, Lei verfasserin aut Yang, Huan verfasserin aut Enthalten in Ecological indicators Amsterdam [u.a.] : Elsevier Science, 2001 154 Online-Ressource (DE-627)338074163 (DE-600)2063587-4 (DE-576)259272388 1872-7034 nnns volume:154 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 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 154 |
spelling |
10.1016/j.ecolind.2023.110517 doi (DE-627)ELV064382036 (ELSEVIER)S1470-160X(23)00659-3 DE-627 ger DE-627 rda eng 570 630 VZ BIODIV DE-30 fid Shang, Xue verfasserin aut Changes and response mechanisms of leaf area index and evapotranspiration in the typical natural landscapes of the Loess Plateau in northern Shaanxi of China under the human intervention 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Exploring the relationship between human activity, vegetation leaf area index (LAI), and land surface evapotranspiration (ET) on the Loess Plateau in northern Shaanxi is crucial for maintaining regional ecosystem functions and optimally allocating water resources. This study investigated the driving mechanism of LAI on ET under the intervention of the human activity intensity (HAIS) by analyzing seasonal and interannual variability characteristics and processes using remote sensing data of land use, LAI, and ET in typical natural landscapes (forest, grassland, and desert) in northern Shaanxi from 2000 to 2020. The primary findings were: (1) In the previous two decades, grassland HAIS was the largest, mainly distributed in central districts and counties, and gradually decreasing. The LAI and ET were ranked as follows: forest > grassland > desert, with an interannually increasing tendency, and the yearly mean LAI and ET of forest reached 2.18 and 16.47 mm, respectively. (2) The LAI and ET of the three typical natural landscapes changed substantially during the growing season (April-October) of vegetation, which increased and then decreased, reaching a maximum in June-August. The LAI and ET displayed noticeable numerical clustering among the months, with higher and concentrated values in June-August and lower values in April, May, and October. (3) Forest and grassland HAIS negatively affected LAI, and detrimentally regulated ET by primarily influencing LAI4-LAI7 (LAI from April to July). Desert HAIS had a significant positive link with the LAI and primarily regulated ET by positively influencing LAI6-LAI10. Compared to forest and grassland, the coregulatory effect of LAI on ET in the desert lagged relatively in the month. Our study recommends accelerating the conversion of the desert to forest and grassland on the Loess Plateau in northern Shaanxi for stabilizing landscape ecosystem function and the reciprocal feedback between vegetation and water resources faster. Leaf area index Evapotranspiration Driving mechanism Human activity Loess Plateau in northern Shaanxi He, Zhaoquan verfasserin aut Chen, Wenbo verfasserin aut He, Lei verfasserin aut Yang, Huan verfasserin aut Enthalten in Ecological indicators Amsterdam [u.a.] : Elsevier Science, 2001 154 Online-Ressource (DE-627)338074163 (DE-600)2063587-4 (DE-576)259272388 1872-7034 nnns volume:154 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 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 154 |
allfields_unstemmed |
10.1016/j.ecolind.2023.110517 doi (DE-627)ELV064382036 (ELSEVIER)S1470-160X(23)00659-3 DE-627 ger DE-627 rda eng 570 630 VZ BIODIV DE-30 fid Shang, Xue verfasserin aut Changes and response mechanisms of leaf area index and evapotranspiration in the typical natural landscapes of the Loess Plateau in northern Shaanxi of China under the human intervention 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Exploring the relationship between human activity, vegetation leaf area index (LAI), and land surface evapotranspiration (ET) on the Loess Plateau in northern Shaanxi is crucial for maintaining regional ecosystem functions and optimally allocating water resources. This study investigated the driving mechanism of LAI on ET under the intervention of the human activity intensity (HAIS) by analyzing seasonal and interannual variability characteristics and processes using remote sensing data of land use, LAI, and ET in typical natural landscapes (forest, grassland, and desert) in northern Shaanxi from 2000 to 2020. The primary findings were: (1) In the previous two decades, grassland HAIS was the largest, mainly distributed in central districts and counties, and gradually decreasing. The LAI and ET were ranked as follows: forest > grassland > desert, with an interannually increasing tendency, and the yearly mean LAI and ET of forest reached 2.18 and 16.47 mm, respectively. (2) The LAI and ET of the three typical natural landscapes changed substantially during the growing season (April-October) of vegetation, which increased and then decreased, reaching a maximum in June-August. The LAI and ET displayed noticeable numerical clustering among the months, with higher and concentrated values in June-August and lower values in April, May, and October. (3) Forest and grassland HAIS negatively affected LAI, and detrimentally regulated ET by primarily influencing LAI4-LAI7 (LAI from April to July). Desert HAIS had a significant positive link with the LAI and primarily regulated ET by positively influencing LAI6-LAI10. Compared to forest and grassland, the coregulatory effect of LAI on ET in the desert lagged relatively in the month. Our study recommends accelerating the conversion of the desert to forest and grassland on the Loess Plateau in northern Shaanxi for stabilizing landscape ecosystem function and the reciprocal feedback between vegetation and water resources faster. Leaf area index Evapotranspiration Driving mechanism Human activity Loess Plateau in northern Shaanxi He, Zhaoquan verfasserin aut Chen, Wenbo verfasserin aut He, Lei verfasserin aut Yang, Huan verfasserin aut Enthalten in Ecological indicators Amsterdam [u.a.] : Elsevier Science, 2001 154 Online-Ressource (DE-627)338074163 (DE-600)2063587-4 (DE-576)259272388 1872-7034 nnns volume:154 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 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 154 |
allfieldsGer |
10.1016/j.ecolind.2023.110517 doi (DE-627)ELV064382036 (ELSEVIER)S1470-160X(23)00659-3 DE-627 ger DE-627 rda eng 570 630 VZ BIODIV DE-30 fid Shang, Xue verfasserin aut Changes and response mechanisms of leaf area index and evapotranspiration in the typical natural landscapes of the Loess Plateau in northern Shaanxi of China under the human intervention 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Exploring the relationship between human activity, vegetation leaf area index (LAI), and land surface evapotranspiration (ET) on the Loess Plateau in northern Shaanxi is crucial for maintaining regional ecosystem functions and optimally allocating water resources. This study investigated the driving mechanism of LAI on ET under the intervention of the human activity intensity (HAIS) by analyzing seasonal and interannual variability characteristics and processes using remote sensing data of land use, LAI, and ET in typical natural landscapes (forest, grassland, and desert) in northern Shaanxi from 2000 to 2020. The primary findings were: (1) In the previous two decades, grassland HAIS was the largest, mainly distributed in central districts and counties, and gradually decreasing. The LAI and ET were ranked as follows: forest > grassland > desert, with an interannually increasing tendency, and the yearly mean LAI and ET of forest reached 2.18 and 16.47 mm, respectively. (2) The LAI and ET of the three typical natural landscapes changed substantially during the growing season (April-October) of vegetation, which increased and then decreased, reaching a maximum in June-August. The LAI and ET displayed noticeable numerical clustering among the months, with higher and concentrated values in June-August and lower values in April, May, and October. (3) Forest and grassland HAIS negatively affected LAI, and detrimentally regulated ET by primarily influencing LAI4-LAI7 (LAI from April to July). Desert HAIS had a significant positive link with the LAI and primarily regulated ET by positively influencing LAI6-LAI10. Compared to forest and grassland, the coregulatory effect of LAI on ET in the desert lagged relatively in the month. Our study recommends accelerating the conversion of the desert to forest and grassland on the Loess Plateau in northern Shaanxi for stabilizing landscape ecosystem function and the reciprocal feedback between vegetation and water resources faster. Leaf area index Evapotranspiration Driving mechanism Human activity Loess Plateau in northern Shaanxi He, Zhaoquan verfasserin aut Chen, Wenbo verfasserin aut He, Lei verfasserin aut Yang, Huan verfasserin aut Enthalten in Ecological indicators Amsterdam [u.a.] : Elsevier Science, 2001 154 Online-Ressource (DE-627)338074163 (DE-600)2063587-4 (DE-576)259272388 1872-7034 nnns volume:154 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 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 154 |
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10.1016/j.ecolind.2023.110517 doi (DE-627)ELV064382036 (ELSEVIER)S1470-160X(23)00659-3 DE-627 ger DE-627 rda eng 570 630 VZ BIODIV DE-30 fid Shang, Xue verfasserin aut Changes and response mechanisms of leaf area index and evapotranspiration in the typical natural landscapes of the Loess Plateau in northern Shaanxi of China under the human intervention 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Exploring the relationship between human activity, vegetation leaf area index (LAI), and land surface evapotranspiration (ET) on the Loess Plateau in northern Shaanxi is crucial for maintaining regional ecosystem functions and optimally allocating water resources. This study investigated the driving mechanism of LAI on ET under the intervention of the human activity intensity (HAIS) by analyzing seasonal and interannual variability characteristics and processes using remote sensing data of land use, LAI, and ET in typical natural landscapes (forest, grassland, and desert) in northern Shaanxi from 2000 to 2020. The primary findings were: (1) In the previous two decades, grassland HAIS was the largest, mainly distributed in central districts and counties, and gradually decreasing. The LAI and ET were ranked as follows: forest > grassland > desert, with an interannually increasing tendency, and the yearly mean LAI and ET of forest reached 2.18 and 16.47 mm, respectively. (2) The LAI and ET of the three typical natural landscapes changed substantially during the growing season (April-October) of vegetation, which increased and then decreased, reaching a maximum in June-August. The LAI and ET displayed noticeable numerical clustering among the months, with higher and concentrated values in June-August and lower values in April, May, and October. (3) Forest and grassland HAIS negatively affected LAI, and detrimentally regulated ET by primarily influencing LAI4-LAI7 (LAI from April to July). Desert HAIS had a significant positive link with the LAI and primarily regulated ET by positively influencing LAI6-LAI10. Compared to forest and grassland, the coregulatory effect of LAI on ET in the desert lagged relatively in the month. Our study recommends accelerating the conversion of the desert to forest and grassland on the Loess Plateau in northern Shaanxi for stabilizing landscape ecosystem function and the reciprocal feedback between vegetation and water resources faster. Leaf area index Evapotranspiration Driving mechanism Human activity Loess Plateau in northern Shaanxi He, Zhaoquan verfasserin aut Chen, Wenbo verfasserin aut He, Lei verfasserin aut Yang, Huan verfasserin aut Enthalten in Ecological indicators Amsterdam [u.a.] : Elsevier Science, 2001 154 Online-Ressource (DE-627)338074163 (DE-600)2063587-4 (DE-576)259272388 1872-7034 nnns volume:154 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 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 154 |
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changes and response mechanisms of leaf area index and evapotranspiration in the typical natural landscapes of the loess plateau in northern shaanxi of china under the human intervention |
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Changes and response mechanisms of leaf area index and evapotranspiration in the typical natural landscapes of the Loess Plateau in northern Shaanxi of China under the human intervention |
abstract |
Exploring the relationship between human activity, vegetation leaf area index (LAI), and land surface evapotranspiration (ET) on the Loess Plateau in northern Shaanxi is crucial for maintaining regional ecosystem functions and optimally allocating water resources. This study investigated the driving mechanism of LAI on ET under the intervention of the human activity intensity (HAIS) by analyzing seasonal and interannual variability characteristics and processes using remote sensing data of land use, LAI, and ET in typical natural landscapes (forest, grassland, and desert) in northern Shaanxi from 2000 to 2020. The primary findings were: (1) In the previous two decades, grassland HAIS was the largest, mainly distributed in central districts and counties, and gradually decreasing. The LAI and ET were ranked as follows: forest > grassland > desert, with an interannually increasing tendency, and the yearly mean LAI and ET of forest reached 2.18 and 16.47 mm, respectively. (2) The LAI and ET of the three typical natural landscapes changed substantially during the growing season (April-October) of vegetation, which increased and then decreased, reaching a maximum in June-August. The LAI and ET displayed noticeable numerical clustering among the months, with higher and concentrated values in June-August and lower values in April, May, and October. (3) Forest and grassland HAIS negatively affected LAI, and detrimentally regulated ET by primarily influencing LAI4-LAI7 (LAI from April to July). Desert HAIS had a significant positive link with the LAI and primarily regulated ET by positively influencing LAI6-LAI10. Compared to forest and grassland, the coregulatory effect of LAI on ET in the desert lagged relatively in the month. Our study recommends accelerating the conversion of the desert to forest and grassland on the Loess Plateau in northern Shaanxi for stabilizing landscape ecosystem function and the reciprocal feedback between vegetation and water resources faster. |
abstractGer |
Exploring the relationship between human activity, vegetation leaf area index (LAI), and land surface evapotranspiration (ET) on the Loess Plateau in northern Shaanxi is crucial for maintaining regional ecosystem functions and optimally allocating water resources. This study investigated the driving mechanism of LAI on ET under the intervention of the human activity intensity (HAIS) by analyzing seasonal and interannual variability characteristics and processes using remote sensing data of land use, LAI, and ET in typical natural landscapes (forest, grassland, and desert) in northern Shaanxi from 2000 to 2020. The primary findings were: (1) In the previous two decades, grassland HAIS was the largest, mainly distributed in central districts and counties, and gradually decreasing. The LAI and ET were ranked as follows: forest > grassland > desert, with an interannually increasing tendency, and the yearly mean LAI and ET of forest reached 2.18 and 16.47 mm, respectively. (2) The LAI and ET of the three typical natural landscapes changed substantially during the growing season (April-October) of vegetation, which increased and then decreased, reaching a maximum in June-August. The LAI and ET displayed noticeable numerical clustering among the months, with higher and concentrated values in June-August and lower values in April, May, and October. (3) Forest and grassland HAIS negatively affected LAI, and detrimentally regulated ET by primarily influencing LAI4-LAI7 (LAI from April to July). Desert HAIS had a significant positive link with the LAI and primarily regulated ET by positively influencing LAI6-LAI10. Compared to forest and grassland, the coregulatory effect of LAI on ET in the desert lagged relatively in the month. Our study recommends accelerating the conversion of the desert to forest and grassland on the Loess Plateau in northern Shaanxi for stabilizing landscape ecosystem function and the reciprocal feedback between vegetation and water resources faster. |
abstract_unstemmed |
Exploring the relationship between human activity, vegetation leaf area index (LAI), and land surface evapotranspiration (ET) on the Loess Plateau in northern Shaanxi is crucial for maintaining regional ecosystem functions and optimally allocating water resources. This study investigated the driving mechanism of LAI on ET under the intervention of the human activity intensity (HAIS) by analyzing seasonal and interannual variability characteristics and processes using remote sensing data of land use, LAI, and ET in typical natural landscapes (forest, grassland, and desert) in northern Shaanxi from 2000 to 2020. The primary findings were: (1) In the previous two decades, grassland HAIS was the largest, mainly distributed in central districts and counties, and gradually decreasing. The LAI and ET were ranked as follows: forest > grassland > desert, with an interannually increasing tendency, and the yearly mean LAI and ET of forest reached 2.18 and 16.47 mm, respectively. (2) The LAI and ET of the three typical natural landscapes changed substantially during the growing season (April-October) of vegetation, which increased and then decreased, reaching a maximum in June-August. The LAI and ET displayed noticeable numerical clustering among the months, with higher and concentrated values in June-August and lower values in April, May, and October. (3) Forest and grassland HAIS negatively affected LAI, and detrimentally regulated ET by primarily influencing LAI4-LAI7 (LAI from April to July). Desert HAIS had a significant positive link with the LAI and primarily regulated ET by positively influencing LAI6-LAI10. Compared to forest and grassland, the coregulatory effect of LAI on ET in the desert lagged relatively in the month. Our study recommends accelerating the conversion of the desert to forest and grassland on the Loess Plateau in northern Shaanxi for stabilizing landscape ecosystem function and the reciprocal feedback between vegetation and water resources faster. |
collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 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 |
title_short |
Changes and response mechanisms of leaf area index and evapotranspiration in the typical natural landscapes of the Loess Plateau in northern Shaanxi of China under the human intervention |
remote_bool |
true |
author2 |
He, Zhaoquan Chen, Wenbo He, Lei Yang, Huan |
author2Str |
He, Zhaoquan Chen, Wenbo He, Lei Yang, Huan |
ppnlink |
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mediatype_str_mv |
c |
isOA_txt |
false |
hochschulschrift_bool |
false |
doi_str |
10.1016/j.ecolind.2023.110517 |
up_date |
2024-07-06T20:23:57.741Z |
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1803862606076706816 |
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