An improved IBIS model for simulating NPP dynamics in alpine mountain ecosystems: A case study in the eastern Qilian Mountains, northeastern Tibetan Plateau

The Integrated Biosphere Simulator (IBIS) model is an effective means of simulating potential vegetation dynamics driven by climate change. However, this model neglects certain key processes and the influences of terrain and soil thickness in alpine mountain ecosystems, which leads to a poor accuracy of net primary production (NPP) simulation. Taking the eastern Qilian Mountains as a case, we revised the IBIS model by integrating terrain influences, water distribution processes, and vegetation and soil characteristics. Terrain effects on solar radiation and precipitation intensity were executed using a hill-shade value and a terrain correction factor, respectively. Then, the re-infiltration process of surface runoff within a pixel was integrated into water distribution sub-module. In the revised model (IBISi), soil hydraulic conductivity was dynamically updated based on the saturated hydraulic conductivity of soil texture and soil-pore water content, instead of a constant value. Inverse migration of soil water due to surface evaporation was also integrated to simulate its impacts on soil moisture. Considering spatial heterogeneity of soil thickness in alpine mountains, the IBISi adopts a thickness-based soil layer structure instead of a 4-meter one. The leaf area index base in herbaceous areas was optimized by a germination coefficient. A measured CO2 concentration series was utilized as an alternative to the calculated values by model prediction. Meanwhile, the key parameters of alpine mountain ecosystems were set based on field survey from the case study area. The NPP values simulated by the IBISi model were compared with the ones measured by remote sensing in areas with relatively less human activities. The results indicated that the IBISi model had a high reliability and accuracy. Thus, it is a good option for simulating NPP dynamics in alpine mountain ecosystems under climate change, and could also provide a scientific basis for assessing human activity impacts at the regional scale. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Zeng, Biao [verfasserIn] Zhang, Fuguang [verfasserIn] Wei, Lanlan [verfasserIn] Zhang, Xiaomiao [verfasserIn] Yang, Taibao [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	IBIS NPP dynamics Alpine mountain ecosystem The eastern Qilian Mountains

Übergeordnetes Werk:	Enthalten in: Catena - New York, NY [u.a.] : Elsevier, 1973, 206
Übergeordnetes Werk:	volume:206

DOI / URN:	10.1016/j.catena.2021.105479

Katalog-ID:	ELV006495141

Internformat


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245	1	0	\|a An improved IBIS model for simulating NPP dynamics in alpine mountain ecosystems: A case study in the eastern Qilian Mountains, northeastern Tibetan Plateau
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520			\|a The Integrated Biosphere Simulator (IBIS) model is an effective means of simulating potential vegetation dynamics driven by climate change. However, this model neglects certain key processes and the influences of terrain and soil thickness in alpine mountain ecosystems, which leads to a poor accuracy of net primary production (NPP) simulation. Taking the eastern Qilian Mountains as a case, we revised the IBIS model by integrating terrain influences, water distribution processes, and vegetation and soil characteristics. Terrain effects on solar radiation and precipitation intensity were executed using a hill-shade value and a terrain correction factor, respectively. Then, the re-infiltration process of surface runoff within a pixel was integrated into water distribution sub-module. In the revised model (IBISi), soil hydraulic conductivity was dynamically updated based on the saturated hydraulic conductivity of soil texture and soil-pore water content, instead of a constant value. Inverse migration of soil water due to surface evaporation was also integrated to simulate its impacts on soil moisture. Considering spatial heterogeneity of soil thickness in alpine mountains, the IBISi adopts a thickness-based soil layer structure instead of a 4-meter one. The leaf area index base in herbaceous areas was optimized by a germination coefficient. A measured CO2 concentration series was utilized as an alternative to the calculated values by model prediction. Meanwhile, the key parameters of alpine mountain ecosystems were set based on field survey from the case study area. The NPP values simulated by the IBISi model were compared with the ones measured by remote sensing in areas with relatively less human activities. The results indicated that the IBISi model had a high reliability and accuracy. Thus, it is a good option for simulating NPP dynamics in alpine mountain ecosystems under climate change, and could also provide a scientific basis for assessing human activity impacts at the regional scale.
650		4	\|a IBIS
650		4	\|a NPP dynamics
650		4	\|a Alpine mountain ecosystem
650		4	\|a The eastern Qilian Mountains
700	1		\|a Zhang, Fuguang \|e verfasserin \|4 aut
700	1		\|a Wei, Lanlan \|e verfasserin \|4 aut
700	1		\|a Zhang, Xiaomiao \|e verfasserin \|4 aut
700	1		\|a Yang, Taibao \|e verfasserin \|4 aut
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936	b	k	\|a 38.60 \|j Bodenkunde: Allgemeines \|x Geowissenschaften
936	b	k	\|a 38.45 \|j Geomorphologie
951			\|a AR
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matchkey_str	article:00087769:2021----::nmrvdbsoefriuaigpdnmciapnmutieoytmaaetditeatrqlam
hierarchy_sort_str	2021
bklnumber	38.60 38.45
publishDate	2021
allfields	10.1016/j.catena.2021.105479 doi (DE-627)ELV006495141 (ELSEVIER)S0341-8162(21)00337-4 DE-627 ger DE-627 rda eng 910 550 DE-600 38.60 bkl 38.45 bkl Zeng, Biao verfasserin aut An improved IBIS model for simulating NPP dynamics in alpine mountain ecosystems: A case study in the eastern Qilian Mountains, northeastern Tibetan Plateau 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The Integrated Biosphere Simulator (IBIS) model is an effective means of simulating potential vegetation dynamics driven by climate change. However, this model neglects certain key processes and the influences of terrain and soil thickness in alpine mountain ecosystems, which leads to a poor accuracy of net primary production (NPP) simulation. Taking the eastern Qilian Mountains as a case, we revised the IBIS model by integrating terrain influences, water distribution processes, and vegetation and soil characteristics. Terrain effects on solar radiation and precipitation intensity were executed using a hill-shade value and a terrain correction factor, respectively. Then, the re-infiltration process of surface runoff within a pixel was integrated into water distribution sub-module. In the revised model (IBISi), soil hydraulic conductivity was dynamically updated based on the saturated hydraulic conductivity of soil texture and soil-pore water content, instead of a constant value. Inverse migration of soil water due to surface evaporation was also integrated to simulate its impacts on soil moisture. Considering spatial heterogeneity of soil thickness in alpine mountains, the IBISi adopts a thickness-based soil layer structure instead of a 4-meter one. The leaf area index base in herbaceous areas was optimized by a germination coefficient. A measured CO2 concentration series was utilized as an alternative to the calculated values by model prediction. Meanwhile, the key parameters of alpine mountain ecosystems were set based on field survey from the case study area. The NPP values simulated by the IBISi model were compared with the ones measured by remote sensing in areas with relatively less human activities. The results indicated that the IBISi model had a high reliability and accuracy. Thus, it is a good option for simulating NPP dynamics in alpine mountain ecosystems under climate change, and could also provide a scientific basis for assessing human activity impacts at the regional scale. IBIS NPP dynamics Alpine mountain ecosystem The eastern Qilian Mountains Zhang, Fuguang verfasserin aut Wei, Lanlan verfasserin aut Zhang, Xiaomiao verfasserin aut Yang, Taibao verfasserin aut Enthalten in Catena New York, NY [u.a.] : Elsevier, 1973 206 Online-Ressource (DE-627)30272432X (DE-600)1492500-X (DE-576)081952821 0008-7769 nnns volume:206 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-GGO GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 38.60 Bodenkunde: Allgemeines Geowissenschaften 38.45 Geomorphologie AR 206
spelling	10.1016/j.catena.2021.105479 doi (DE-627)ELV006495141 (ELSEVIER)S0341-8162(21)00337-4 DE-627 ger DE-627 rda eng 910 550 DE-600 38.60 bkl 38.45 bkl Zeng, Biao verfasserin aut An improved IBIS model for simulating NPP dynamics in alpine mountain ecosystems: A case study in the eastern Qilian Mountains, northeastern Tibetan Plateau 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The Integrated Biosphere Simulator (IBIS) model is an effective means of simulating potential vegetation dynamics driven by climate change. However, this model neglects certain key processes and the influences of terrain and soil thickness in alpine mountain ecosystems, which leads to a poor accuracy of net primary production (NPP) simulation. Taking the eastern Qilian Mountains as a case, we revised the IBIS model by integrating terrain influences, water distribution processes, and vegetation and soil characteristics. Terrain effects on solar radiation and precipitation intensity were executed using a hill-shade value and a terrain correction factor, respectively. Then, the re-infiltration process of surface runoff within a pixel was integrated into water distribution sub-module. In the revised model (IBISi), soil hydraulic conductivity was dynamically updated based on the saturated hydraulic conductivity of soil texture and soil-pore water content, instead of a constant value. Inverse migration of soil water due to surface evaporation was also integrated to simulate its impacts on soil moisture. Considering spatial heterogeneity of soil thickness in alpine mountains, the IBISi adopts a thickness-based soil layer structure instead of a 4-meter one. The leaf area index base in herbaceous areas was optimized by a germination coefficient. A measured CO2 concentration series was utilized as an alternative to the calculated values by model prediction. Meanwhile, the key parameters of alpine mountain ecosystems were set based on field survey from the case study area. The NPP values simulated by the IBISi model were compared with the ones measured by remote sensing in areas with relatively less human activities. The results indicated that the IBISi model had a high reliability and accuracy. Thus, it is a good option for simulating NPP dynamics in alpine mountain ecosystems under climate change, and could also provide a scientific basis for assessing human activity impacts at the regional scale. IBIS NPP dynamics Alpine mountain ecosystem The eastern Qilian Mountains Zhang, Fuguang verfasserin aut Wei, Lanlan verfasserin aut Zhang, Xiaomiao verfasserin aut Yang, Taibao verfasserin aut Enthalten in Catena New York, NY [u.a.] : Elsevier, 1973 206 Online-Ressource (DE-627)30272432X (DE-600)1492500-X (DE-576)081952821 0008-7769 nnns volume:206 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-GGO GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 38.60 Bodenkunde: Allgemeines Geowissenschaften 38.45 Geomorphologie AR 206
allfields_unstemmed	10.1016/j.catena.2021.105479 doi (DE-627)ELV006495141 (ELSEVIER)S0341-8162(21)00337-4 DE-627 ger DE-627 rda eng 910 550 DE-600 38.60 bkl 38.45 bkl Zeng, Biao verfasserin aut An improved IBIS model for simulating NPP dynamics in alpine mountain ecosystems: A case study in the eastern Qilian Mountains, northeastern Tibetan Plateau 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The Integrated Biosphere Simulator (IBIS) model is an effective means of simulating potential vegetation dynamics driven by climate change. However, this model neglects certain key processes and the influences of terrain and soil thickness in alpine mountain ecosystems, which leads to a poor accuracy of net primary production (NPP) simulation. Taking the eastern Qilian Mountains as a case, we revised the IBIS model by integrating terrain influences, water distribution processes, and vegetation and soil characteristics. Terrain effects on solar radiation and precipitation intensity were executed using a hill-shade value and a terrain correction factor, respectively. Then, the re-infiltration process of surface runoff within a pixel was integrated into water distribution sub-module. In the revised model (IBISi), soil hydraulic conductivity was dynamically updated based on the saturated hydraulic conductivity of soil texture and soil-pore water content, instead of a constant value. Inverse migration of soil water due to surface evaporation was also integrated to simulate its impacts on soil moisture. Considering spatial heterogeneity of soil thickness in alpine mountains, the IBISi adopts a thickness-based soil layer structure instead of a 4-meter one. The leaf area index base in herbaceous areas was optimized by a germination coefficient. A measured CO2 concentration series was utilized as an alternative to the calculated values by model prediction. Meanwhile, the key parameters of alpine mountain ecosystems were set based on field survey from the case study area. The NPP values simulated by the IBISi model were compared with the ones measured by remote sensing in areas with relatively less human activities. The results indicated that the IBISi model had a high reliability and accuracy. Thus, it is a good option for simulating NPP dynamics in alpine mountain ecosystems under climate change, and could also provide a scientific basis for assessing human activity impacts at the regional scale. IBIS NPP dynamics Alpine mountain ecosystem The eastern Qilian Mountains Zhang, Fuguang verfasserin aut Wei, Lanlan verfasserin aut Zhang, Xiaomiao verfasserin aut Yang, Taibao verfasserin aut Enthalten in Catena New York, NY [u.a.] : Elsevier, 1973 206 Online-Ressource (DE-627)30272432X (DE-600)1492500-X (DE-576)081952821 0008-7769 nnns volume:206 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-GGO GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 38.60 Bodenkunde: Allgemeines Geowissenschaften 38.45 Geomorphologie AR 206
allfieldsGer	10.1016/j.catena.2021.105479 doi (DE-627)ELV006495141 (ELSEVIER)S0341-8162(21)00337-4 DE-627 ger DE-627 rda eng 910 550 DE-600 38.60 bkl 38.45 bkl Zeng, Biao verfasserin aut An improved IBIS model for simulating NPP dynamics in alpine mountain ecosystems: A case study in the eastern Qilian Mountains, northeastern Tibetan Plateau 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The Integrated Biosphere Simulator (IBIS) model is an effective means of simulating potential vegetation dynamics driven by climate change. However, this model neglects certain key processes and the influences of terrain and soil thickness in alpine mountain ecosystems, which leads to a poor accuracy of net primary production (NPP) simulation. Taking the eastern Qilian Mountains as a case, we revised the IBIS model by integrating terrain influences, water distribution processes, and vegetation and soil characteristics. Terrain effects on solar radiation and precipitation intensity were executed using a hill-shade value and a terrain correction factor, respectively. Then, the re-infiltration process of surface runoff within a pixel was integrated into water distribution sub-module. In the revised model (IBISi), soil hydraulic conductivity was dynamically updated based on the saturated hydraulic conductivity of soil texture and soil-pore water content, instead of a constant value. Inverse migration of soil water due to surface evaporation was also integrated to simulate its impacts on soil moisture. Considering spatial heterogeneity of soil thickness in alpine mountains, the IBISi adopts a thickness-based soil layer structure instead of a 4-meter one. The leaf area index base in herbaceous areas was optimized by a germination coefficient. A measured CO2 concentration series was utilized as an alternative to the calculated values by model prediction. Meanwhile, the key parameters of alpine mountain ecosystems were set based on field survey from the case study area. The NPP values simulated by the IBISi model were compared with the ones measured by remote sensing in areas with relatively less human activities. The results indicated that the IBISi model had a high reliability and accuracy. Thus, it is a good option for simulating NPP dynamics in alpine mountain ecosystems under climate change, and could also provide a scientific basis for assessing human activity impacts at the regional scale. IBIS NPP dynamics Alpine mountain ecosystem The eastern Qilian Mountains Zhang, Fuguang verfasserin aut Wei, Lanlan verfasserin aut Zhang, Xiaomiao verfasserin aut Yang, Taibao verfasserin aut Enthalten in Catena New York, NY [u.a.] : Elsevier, 1973 206 Online-Ressource (DE-627)30272432X (DE-600)1492500-X (DE-576)081952821 0008-7769 nnns volume:206 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-GGO GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 38.60 Bodenkunde: Allgemeines Geowissenschaften 38.45 Geomorphologie AR 206
allfieldsSound	10.1016/j.catena.2021.105479 doi (DE-627)ELV006495141 (ELSEVIER)S0341-8162(21)00337-4 DE-627 ger DE-627 rda eng 910 550 DE-600 38.60 bkl 38.45 bkl Zeng, Biao verfasserin aut An improved IBIS model for simulating NPP dynamics in alpine mountain ecosystems: A case study in the eastern Qilian Mountains, northeastern Tibetan Plateau 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The Integrated Biosphere Simulator (IBIS) model is an effective means of simulating potential vegetation dynamics driven by climate change. However, this model neglects certain key processes and the influences of terrain and soil thickness in alpine mountain ecosystems, which leads to a poor accuracy of net primary production (NPP) simulation. Taking the eastern Qilian Mountains as a case, we revised the IBIS model by integrating terrain influences, water distribution processes, and vegetation and soil characteristics. Terrain effects on solar radiation and precipitation intensity were executed using a hill-shade value and a terrain correction factor, respectively. Then, the re-infiltration process of surface runoff within a pixel was integrated into water distribution sub-module. In the revised model (IBISi), soil hydraulic conductivity was dynamically updated based on the saturated hydraulic conductivity of soil texture and soil-pore water content, instead of a constant value. Inverse migration of soil water due to surface evaporation was also integrated to simulate its impacts on soil moisture. Considering spatial heterogeneity of soil thickness in alpine mountains, the IBISi adopts a thickness-based soil layer structure instead of a 4-meter one. The leaf area index base in herbaceous areas was optimized by a germination coefficient. A measured CO2 concentration series was utilized as an alternative to the calculated values by model prediction. Meanwhile, the key parameters of alpine mountain ecosystems were set based on field survey from the case study area. The NPP values simulated by the IBISi model were compared with the ones measured by remote sensing in areas with relatively less human activities. The results indicated that the IBISi model had a high reliability and accuracy. Thus, it is a good option for simulating NPP dynamics in alpine mountain ecosystems under climate change, and could also provide a scientific basis for assessing human activity impacts at the regional scale. IBIS NPP dynamics Alpine mountain ecosystem The eastern Qilian Mountains Zhang, Fuguang verfasserin aut Wei, Lanlan verfasserin aut Zhang, Xiaomiao verfasserin aut Yang, Taibao verfasserin aut Enthalten in Catena New York, NY [u.a.] : Elsevier, 1973 206 Online-Ressource (DE-627)30272432X (DE-600)1492500-X (DE-576)081952821 0008-7769 nnns volume:206 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-GGO GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 38.60 Bodenkunde: Allgemeines Geowissenschaften 38.45 Geomorphologie AR 206
language	English
source	Enthalten in Catena 206 volume:206
sourceStr	Enthalten in Catena 206 volume:206
format_phy_str_mv	Article
bklname	Bodenkunde: Allgemeines Geomorphologie
institution	findex.gbv.de
topic_facet	IBIS NPP dynamics Alpine mountain ecosystem The eastern Qilian Mountains
dewey-raw	910
isfreeaccess_bool	false
container_title	Catena
authorswithroles_txt_mv	Zeng, Biao @@aut@@ Zhang, Fuguang @@aut@@ Wei, Lanlan @@aut@@ Zhang, Xiaomiao @@aut@@ Yang, Taibao @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
hierarchy_top_id	30272432X
dewey-sort	3910
id	ELV006495141
language_de	englisch
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author	Zeng, Biao
spellingShingle	Zeng, Biao ddc 910 bkl 38.60 bkl 38.45 misc IBIS misc NPP dynamics misc Alpine mountain ecosystem misc The eastern Qilian Mountains An improved IBIS model for simulating NPP dynamics in alpine mountain ecosystems: A case study in the eastern Qilian Mountains, northeastern Tibetan Plateau
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topic_title	910 550 DE-600 38.60 bkl 38.45 bkl An improved IBIS model for simulating NPP dynamics in alpine mountain ecosystems: A case study in the eastern Qilian Mountains, northeastern Tibetan Plateau IBIS NPP dynamics Alpine mountain ecosystem The eastern Qilian Mountains
topic	ddc 910 bkl 38.60 bkl 38.45 misc IBIS misc NPP dynamics misc Alpine mountain ecosystem misc The eastern Qilian Mountains
topic_unstemmed	ddc 910 bkl 38.60 bkl 38.45 misc IBIS misc NPP dynamics misc Alpine mountain ecosystem misc The eastern Qilian Mountains
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title	An improved IBIS model for simulating NPP dynamics in alpine mountain ecosystems: A case study in the eastern Qilian Mountains, northeastern Tibetan Plateau
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title_full	An improved IBIS model for simulating NPP dynamics in alpine mountain ecosystems: A case study in the eastern Qilian Mountains, northeastern Tibetan Plateau
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title_sort	an improved ibis model for simulating npp dynamics in alpine mountain ecosystems: a case study in the eastern qilian mountains, northeastern tibetan plateau
title_auth	An improved IBIS model for simulating NPP dynamics in alpine mountain ecosystems: A case study in the eastern Qilian Mountains, northeastern Tibetan Plateau
abstract	The Integrated Biosphere Simulator (IBIS) model is an effective means of simulating potential vegetation dynamics driven by climate change. However, this model neglects certain key processes and the influences of terrain and soil thickness in alpine mountain ecosystems, which leads to a poor accuracy of net primary production (NPP) simulation. Taking the eastern Qilian Mountains as a case, we revised the IBIS model by integrating terrain influences, water distribution processes, and vegetation and soil characteristics. Terrain effects on solar radiation and precipitation intensity were executed using a hill-shade value and a terrain correction factor, respectively. Then, the re-infiltration process of surface runoff within a pixel was integrated into water distribution sub-module. In the revised model (IBISi), soil hydraulic conductivity was dynamically updated based on the saturated hydraulic conductivity of soil texture and soil-pore water content, instead of a constant value. Inverse migration of soil water due to surface evaporation was also integrated to simulate its impacts on soil moisture. Considering spatial heterogeneity of soil thickness in alpine mountains, the IBISi adopts a thickness-based soil layer structure instead of a 4-meter one. The leaf area index base in herbaceous areas was optimized by a germination coefficient. A measured CO2 concentration series was utilized as an alternative to the calculated values by model prediction. Meanwhile, the key parameters of alpine mountain ecosystems were set based on field survey from the case study area. The NPP values simulated by the IBISi model were compared with the ones measured by remote sensing in areas with relatively less human activities. The results indicated that the IBISi model had a high reliability and accuracy. Thus, it is a good option for simulating NPP dynamics in alpine mountain ecosystems under climate change, and could also provide a scientific basis for assessing human activity impacts at the regional scale.
abstractGer	The Integrated Biosphere Simulator (IBIS) model is an effective means of simulating potential vegetation dynamics driven by climate change. However, this model neglects certain key processes and the influences of terrain and soil thickness in alpine mountain ecosystems, which leads to a poor accuracy of net primary production (NPP) simulation. Taking the eastern Qilian Mountains as a case, we revised the IBIS model by integrating terrain influences, water distribution processes, and vegetation and soil characteristics. Terrain effects on solar radiation and precipitation intensity were executed using a hill-shade value and a terrain correction factor, respectively. Then, the re-infiltration process of surface runoff within a pixel was integrated into water distribution sub-module. In the revised model (IBISi), soil hydraulic conductivity was dynamically updated based on the saturated hydraulic conductivity of soil texture and soil-pore water content, instead of a constant value. Inverse migration of soil water due to surface evaporation was also integrated to simulate its impacts on soil moisture. Considering spatial heterogeneity of soil thickness in alpine mountains, the IBISi adopts a thickness-based soil layer structure instead of a 4-meter one. The leaf area index base in herbaceous areas was optimized by a germination coefficient. A measured CO2 concentration series was utilized as an alternative to the calculated values by model prediction. Meanwhile, the key parameters of alpine mountain ecosystems were set based on field survey from the case study area. The NPP values simulated by the IBISi model were compared with the ones measured by remote sensing in areas with relatively less human activities. The results indicated that the IBISi model had a high reliability and accuracy. Thus, it is a good option for simulating NPP dynamics in alpine mountain ecosystems under climate change, and could also provide a scientific basis for assessing human activity impacts at the regional scale.
abstract_unstemmed	The Integrated Biosphere Simulator (IBIS) model is an effective means of simulating potential vegetation dynamics driven by climate change. However, this model neglects certain key processes and the influences of terrain and soil thickness in alpine mountain ecosystems, which leads to a poor accuracy of net primary production (NPP) simulation. Taking the eastern Qilian Mountains as a case, we revised the IBIS model by integrating terrain influences, water distribution processes, and vegetation and soil characteristics. Terrain effects on solar radiation and precipitation intensity were executed using a hill-shade value and a terrain correction factor, respectively. Then, the re-infiltration process of surface runoff within a pixel was integrated into water distribution sub-module. In the revised model (IBISi), soil hydraulic conductivity was dynamically updated based on the saturated hydraulic conductivity of soil texture and soil-pore water content, instead of a constant value. Inverse migration of soil water due to surface evaporation was also integrated to simulate its impacts on soil moisture. Considering spatial heterogeneity of soil thickness in alpine mountains, the IBISi adopts a thickness-based soil layer structure instead of a 4-meter one. The leaf area index base in herbaceous areas was optimized by a germination coefficient. A measured CO2 concentration series was utilized as an alternative to the calculated values by model prediction. Meanwhile, the key parameters of alpine mountain ecosystems were set based on field survey from the case study area. The NPP values simulated by the IBISi model were compared with the ones measured by remote sensing in areas with relatively less human activities. The results indicated that the IBISi model had a high reliability and accuracy. Thus, it is a good option for simulating NPP dynamics in alpine mountain ecosystems under climate change, and could also provide a scientific basis for assessing human activity impacts at the regional scale.
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title_short	An improved IBIS model for simulating NPP dynamics in alpine mountain ecosystems: A case study in the eastern Qilian Mountains, northeastern Tibetan Plateau
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author2	Zhang, Fuguang Wei, Lanlan Zhang, Xiaomiao Yang, Taibao
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up_date	2024-07-06T21:34:24.513Z
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An improved IBIS model for simulating NPP dynamics in alpine mountain ecosystems: A case study in the eastern Qilian Mountains, northeastern Tibetan Plateau

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