What factors determine the mass elevation effect of the Tibetan Plateau?

Abstract The mass elevation effect (MEE) of the Tibetan Plateau (TP) has attracted the attention of geographers because of its significant influence on the Asian climate, snow line, timberline, and other important climate-ecological boundaries of the plateau and on global ecological patterns. In rec...
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Autor*in:	Han, Fang [verfasserIn] Wan, Li [verfasserIn] Wu, Hong-zhi [verfasserIn] Zhang, Bai-ping [verfasserIn] Gao, Lan [verfasserIn] Song, Ge [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Tibetan Plateau Mass elevation effect Mountain basal elevation Influencing factors

Übergeordnetes Werk:	Enthalten in: Journal of mountain science - Beijing : Science Press, 2004, 17(2020), 11 vom: Nov., Seite 2742-2749
Übergeordnetes Werk:	volume:17 ; year:2020 ; number:11 ; month:11 ; pages:2742-2749

Links:	Volltext

DOI / URN:	10.1007/s11629-020-6011-9

Katalog-ID:	SPR04191760X

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520			\|a Abstract The mass elevation effect (MEE) of the Tibetan Plateau (TP) has attracted the attention of geographers because of its significant influence on the Asian climate, snow line, timberline, and other important climate-ecological boundaries of the plateau and on global ecological patterns. In recent years, much progress has been made in quantifying the MEE of TP. However, factors that affect the size of MEE have not been examined in depth, and the key factors still remain unclear. Based on quantification of MEE for each mountain basal elevation plot, this study identifies the factors that contribute significantly to MEE of the plateau. Seven factors are considered, including mountain basal elevation, distance from the core zone of MEE, thermal continentality, maximum elevation, height difference, area, and difference of underlying surface (with the yearly max “Normalized Difference Vegetation Index” (NDVI) serving as a quantitative indicator). We also used these seven factors as independent variables to develop a multiple linear regression model for MEE of the plateau. Results show that: (1) the determination coefficient (R2) of the model reaches as high as 0.877, and the contributions of mountain basal elevation, distance from the core zone of MEE, thermal continentality, maximum elevation, topographical height difference, area, and NDVI are 39.77%, 23.02%, 14.48%, 5.78%, 11.41%, 2.92%, and 2.62%, respectively, with mountain basal elevation and the distance from the core of MEE as the most important factors; (2) thermal continentality and MEE are significantly correlated, and maximum elevation only has a coupling relationship with MEE, with height difference and NDVI contributing little to MEE. This study deepens our understanding of MEE and its forming factors in the Tibetan Plateau.
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allfields	10.1007/s11629-020-6011-9 doi (DE-627)SPR04191760X (SPR)s11629-020-6011-9-e DE-627 ger DE-627 rakwb eng 910 ASE 74.15 bkl 38.45 bkl Han, Fang verfasserin aut What factors determine the mass elevation effect of the Tibetan Plateau? 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The mass elevation effect (MEE) of the Tibetan Plateau (TP) has attracted the attention of geographers because of its significant influence on the Asian climate, snow line, timberline, and other important climate-ecological boundaries of the plateau and on global ecological patterns. In recent years, much progress has been made in quantifying the MEE of TP. However, factors that affect the size of MEE have not been examined in depth, and the key factors still remain unclear. Based on quantification of MEE for each mountain basal elevation plot, this study identifies the factors that contribute significantly to MEE of the plateau. Seven factors are considered, including mountain basal elevation, distance from the core zone of MEE, thermal continentality, maximum elevation, height difference, area, and difference of underlying surface (with the yearly max “Normalized Difference Vegetation Index” (NDVI) serving as a quantitative indicator). We also used these seven factors as independent variables to develop a multiple linear regression model for MEE of the plateau. Results show that: (1) the determination coefficient (R2) of the model reaches as high as 0.877, and the contributions of mountain basal elevation, distance from the core zone of MEE, thermal continentality, maximum elevation, topographical height difference, area, and NDVI are 39.77%, 23.02%, 14.48%, 5.78%, 11.41%, 2.92%, and 2.62%, respectively, with mountain basal elevation and the distance from the core of MEE as the most important factors; (2) thermal continentality and MEE are significantly correlated, and maximum elevation only has a coupling relationship with MEE, with height difference and NDVI contributing little to MEE. This study deepens our understanding of MEE and its forming factors in the Tibetan Plateau. Tibetan Plateau (dpeaa)DE-He213 Mass elevation effect (dpeaa)DE-He213 Mountain basal elevation (dpeaa)DE-He213 Influencing factors (dpeaa)DE-He213 Wan, Li verfasserin aut Wu, Hong-zhi verfasserin aut Zhang, Bai-ping verfasserin aut Gao, Lan verfasserin aut Song, Ge verfasserin aut Enthalten in Journal of mountain science Beijing : Science Press, 2004 17(2020), 11 vom: Nov., Seite 2742-2749 (DE-627)494836954 (DE-600)2197632-6 1993-0321 nnns volume:17 year:2020 number:11 month:11 pages:2742-2749 https://dx.doi.org/10.1007/s11629-020-6011-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2700 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 74.15 ASE 38.45 ASE AR 17 2020 11 11 2742-2749
spelling	10.1007/s11629-020-6011-9 doi (DE-627)SPR04191760X (SPR)s11629-020-6011-9-e DE-627 ger DE-627 rakwb eng 910 ASE 74.15 bkl 38.45 bkl Han, Fang verfasserin aut What factors determine the mass elevation effect of the Tibetan Plateau? 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The mass elevation effect (MEE) of the Tibetan Plateau (TP) has attracted the attention of geographers because of its significant influence on the Asian climate, snow line, timberline, and other important climate-ecological boundaries of the plateau and on global ecological patterns. In recent years, much progress has been made in quantifying the MEE of TP. However, factors that affect the size of MEE have not been examined in depth, and the key factors still remain unclear. Based on quantification of MEE for each mountain basal elevation plot, this study identifies the factors that contribute significantly to MEE of the plateau. Seven factors are considered, including mountain basal elevation, distance from the core zone of MEE, thermal continentality, maximum elevation, height difference, area, and difference of underlying surface (with the yearly max “Normalized Difference Vegetation Index” (NDVI) serving as a quantitative indicator). We also used these seven factors as independent variables to develop a multiple linear regression model for MEE of the plateau. Results show that: (1) the determination coefficient (R2) of the model reaches as high as 0.877, and the contributions of mountain basal elevation, distance from the core zone of MEE, thermal continentality, maximum elevation, topographical height difference, area, and NDVI are 39.77%, 23.02%, 14.48%, 5.78%, 11.41%, 2.92%, and 2.62%, respectively, with mountain basal elevation and the distance from the core of MEE as the most important factors; (2) thermal continentality and MEE are significantly correlated, and maximum elevation only has a coupling relationship with MEE, with height difference and NDVI contributing little to MEE. This study deepens our understanding of MEE and its forming factors in the Tibetan Plateau. Tibetan Plateau (dpeaa)DE-He213 Mass elevation effect (dpeaa)DE-He213 Mountain basal elevation (dpeaa)DE-He213 Influencing factors (dpeaa)DE-He213 Wan, Li verfasserin aut Wu, Hong-zhi verfasserin aut Zhang, Bai-ping verfasserin aut Gao, Lan verfasserin aut Song, Ge verfasserin aut Enthalten in Journal of mountain science Beijing : Science Press, 2004 17(2020), 11 vom: Nov., Seite 2742-2749 (DE-627)494836954 (DE-600)2197632-6 1993-0321 nnns volume:17 year:2020 number:11 month:11 pages:2742-2749 https://dx.doi.org/10.1007/s11629-020-6011-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2700 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 74.15 ASE 38.45 ASE AR 17 2020 11 11 2742-2749
allfields_unstemmed	10.1007/s11629-020-6011-9 doi (DE-627)SPR04191760X (SPR)s11629-020-6011-9-e DE-627 ger DE-627 rakwb eng 910 ASE 74.15 bkl 38.45 bkl Han, Fang verfasserin aut What factors determine the mass elevation effect of the Tibetan Plateau? 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The mass elevation effect (MEE) of the Tibetan Plateau (TP) has attracted the attention of geographers because of its significant influence on the Asian climate, snow line, timberline, and other important climate-ecological boundaries of the plateau and on global ecological patterns. In recent years, much progress has been made in quantifying the MEE of TP. However, factors that affect the size of MEE have not been examined in depth, and the key factors still remain unclear. Based on quantification of MEE for each mountain basal elevation plot, this study identifies the factors that contribute significantly to MEE of the plateau. Seven factors are considered, including mountain basal elevation, distance from the core zone of MEE, thermal continentality, maximum elevation, height difference, area, and difference of underlying surface (with the yearly max “Normalized Difference Vegetation Index” (NDVI) serving as a quantitative indicator). We also used these seven factors as independent variables to develop a multiple linear regression model for MEE of the plateau. Results show that: (1) the determination coefficient (R2) of the model reaches as high as 0.877, and the contributions of mountain basal elevation, distance from the core zone of MEE, thermal continentality, maximum elevation, topographical height difference, area, and NDVI are 39.77%, 23.02%, 14.48%, 5.78%, 11.41%, 2.92%, and 2.62%, respectively, with mountain basal elevation and the distance from the core of MEE as the most important factors; (2) thermal continentality and MEE are significantly correlated, and maximum elevation only has a coupling relationship with MEE, with height difference and NDVI contributing little to MEE. This study deepens our understanding of MEE and its forming factors in the Tibetan Plateau. Tibetan Plateau (dpeaa)DE-He213 Mass elevation effect (dpeaa)DE-He213 Mountain basal elevation (dpeaa)DE-He213 Influencing factors (dpeaa)DE-He213 Wan, Li verfasserin aut Wu, Hong-zhi verfasserin aut Zhang, Bai-ping verfasserin aut Gao, Lan verfasserin aut Song, Ge verfasserin aut Enthalten in Journal of mountain science Beijing : Science Press, 2004 17(2020), 11 vom: Nov., Seite 2742-2749 (DE-627)494836954 (DE-600)2197632-6 1993-0321 nnns volume:17 year:2020 number:11 month:11 pages:2742-2749 https://dx.doi.org/10.1007/s11629-020-6011-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2700 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 74.15 ASE 38.45 ASE AR 17 2020 11 11 2742-2749
allfieldsGer	10.1007/s11629-020-6011-9 doi (DE-627)SPR04191760X (SPR)s11629-020-6011-9-e DE-627 ger DE-627 rakwb eng 910 ASE 74.15 bkl 38.45 bkl Han, Fang verfasserin aut What factors determine the mass elevation effect of the Tibetan Plateau? 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The mass elevation effect (MEE) of the Tibetan Plateau (TP) has attracted the attention of geographers because of its significant influence on the Asian climate, snow line, timberline, and other important climate-ecological boundaries of the plateau and on global ecological patterns. In recent years, much progress has been made in quantifying the MEE of TP. However, factors that affect the size of MEE have not been examined in depth, and the key factors still remain unclear. Based on quantification of MEE for each mountain basal elevation plot, this study identifies the factors that contribute significantly to MEE of the plateau. Seven factors are considered, including mountain basal elevation, distance from the core zone of MEE, thermal continentality, maximum elevation, height difference, area, and difference of underlying surface (with the yearly max “Normalized Difference Vegetation Index” (NDVI) serving as a quantitative indicator). We also used these seven factors as independent variables to develop a multiple linear regression model for MEE of the plateau. Results show that: (1) the determination coefficient (R2) of the model reaches as high as 0.877, and the contributions of mountain basal elevation, distance from the core zone of MEE, thermal continentality, maximum elevation, topographical height difference, area, and NDVI are 39.77%, 23.02%, 14.48%, 5.78%, 11.41%, 2.92%, and 2.62%, respectively, with mountain basal elevation and the distance from the core of MEE as the most important factors; (2) thermal continentality and MEE are significantly correlated, and maximum elevation only has a coupling relationship with MEE, with height difference and NDVI contributing little to MEE. This study deepens our understanding of MEE and its forming factors in the Tibetan Plateau. Tibetan Plateau (dpeaa)DE-He213 Mass elevation effect (dpeaa)DE-He213 Mountain basal elevation (dpeaa)DE-He213 Influencing factors (dpeaa)DE-He213 Wan, Li verfasserin aut Wu, Hong-zhi verfasserin aut Zhang, Bai-ping verfasserin aut Gao, Lan verfasserin aut Song, Ge verfasserin aut Enthalten in Journal of mountain science Beijing : Science Press, 2004 17(2020), 11 vom: Nov., Seite 2742-2749 (DE-627)494836954 (DE-600)2197632-6 1993-0321 nnns volume:17 year:2020 number:11 month:11 pages:2742-2749 https://dx.doi.org/10.1007/s11629-020-6011-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2700 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 74.15 ASE 38.45 ASE AR 17 2020 11 11 2742-2749
allfieldsSound	10.1007/s11629-020-6011-9 doi (DE-627)SPR04191760X (SPR)s11629-020-6011-9-e DE-627 ger DE-627 rakwb eng 910 ASE 74.15 bkl 38.45 bkl Han, Fang verfasserin aut What factors determine the mass elevation effect of the Tibetan Plateau? 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The mass elevation effect (MEE) of the Tibetan Plateau (TP) has attracted the attention of geographers because of its significant influence on the Asian climate, snow line, timberline, and other important climate-ecological boundaries of the plateau and on global ecological patterns. In recent years, much progress has been made in quantifying the MEE of TP. However, factors that affect the size of MEE have not been examined in depth, and the key factors still remain unclear. Based on quantification of MEE for each mountain basal elevation plot, this study identifies the factors that contribute significantly to MEE of the plateau. Seven factors are considered, including mountain basal elevation, distance from the core zone of MEE, thermal continentality, maximum elevation, height difference, area, and difference of underlying surface (with the yearly max “Normalized Difference Vegetation Index” (NDVI) serving as a quantitative indicator). We also used these seven factors as independent variables to develop a multiple linear regression model for MEE of the plateau. Results show that: (1) the determination coefficient (R2) of the model reaches as high as 0.877, and the contributions of mountain basal elevation, distance from the core zone of MEE, thermal continentality, maximum elevation, topographical height difference, area, and NDVI are 39.77%, 23.02%, 14.48%, 5.78%, 11.41%, 2.92%, and 2.62%, respectively, with mountain basal elevation and the distance from the core of MEE as the most important factors; (2) thermal continentality and MEE are significantly correlated, and maximum elevation only has a coupling relationship with MEE, with height difference and NDVI contributing little to MEE. This study deepens our understanding of MEE and its forming factors in the Tibetan Plateau. Tibetan Plateau (dpeaa)DE-He213 Mass elevation effect (dpeaa)DE-He213 Mountain basal elevation (dpeaa)DE-He213 Influencing factors (dpeaa)DE-He213 Wan, Li verfasserin aut Wu, Hong-zhi verfasserin aut Zhang, Bai-ping verfasserin aut Gao, Lan verfasserin aut Song, Ge verfasserin aut Enthalten in Journal of mountain science Beijing : Science Press, 2004 17(2020), 11 vom: Nov., Seite 2742-2749 (DE-627)494836954 (DE-600)2197632-6 1993-0321 nnns volume:17 year:2020 number:11 month:11 pages:2742-2749 https://dx.doi.org/10.1007/s11629-020-6011-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2700 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 74.15 ASE 38.45 ASE AR 17 2020 11 11 2742-2749
language	English
source	Enthalten in Journal of mountain science 17(2020), 11 vom: Nov., Seite 2742-2749 volume:17 year:2020 number:11 month:11 pages:2742-2749
sourceStr	Enthalten in Journal of mountain science 17(2020), 11 vom: Nov., Seite 2742-2749 volume:17 year:2020 number:11 month:11 pages:2742-2749
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Tibetan Plateau Mass elevation effect Mountain basal elevation Influencing factors
dewey-raw	910
isfreeaccess_bool	false
container_title	Journal of mountain science
authorswithroles_txt_mv	Han, Fang @@aut@@ Wan, Li @@aut@@ Wu, Hong-zhi @@aut@@ Zhang, Bai-ping @@aut@@ Gao, Lan @@aut@@ Song, Ge @@aut@@
publishDateDaySort_date	2020-11-01T00:00:00Z
hierarchy_top_id	494836954
dewey-sort	3910
id	SPR04191760X
language_de	englisch
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author	Han, Fang
spellingShingle	Han, Fang ddc 910 bkl 74.15 bkl 38.45 misc Tibetan Plateau misc Mass elevation effect misc Mountain basal elevation misc Influencing factors What factors determine the mass elevation effect of the Tibetan Plateau?
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topic_title	910 ASE 74.15 bkl 38.45 bkl What factors determine the mass elevation effect of the Tibetan Plateau? Tibetan Plateau (dpeaa)DE-He213 Mass elevation effect (dpeaa)DE-He213 Mountain basal elevation (dpeaa)DE-He213 Influencing factors (dpeaa)DE-He213
topic	ddc 910 bkl 74.15 bkl 38.45 misc Tibetan Plateau misc Mass elevation effect misc Mountain basal elevation misc Influencing factors
topic_unstemmed	ddc 910 bkl 74.15 bkl 38.45 misc Tibetan Plateau misc Mass elevation effect misc Mountain basal elevation misc Influencing factors
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title	What factors determine the mass elevation effect of the Tibetan Plateau?
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title_full	What factors determine the mass elevation effect of the Tibetan Plateau?
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author_browse	Han, Fang Wan, Li Wu, Hong-zhi Zhang, Bai-ping Gao, Lan Song, Ge
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title_sort	what factors determine the mass elevation effect of the tibetan plateau?
title_auth	What factors determine the mass elevation effect of the Tibetan Plateau?
abstract	Abstract The mass elevation effect (MEE) of the Tibetan Plateau (TP) has attracted the attention of geographers because of its significant influence on the Asian climate, snow line, timberline, and other important climate-ecological boundaries of the plateau and on global ecological patterns. In recent years, much progress has been made in quantifying the MEE of TP. However, factors that affect the size of MEE have not been examined in depth, and the key factors still remain unclear. Based on quantification of MEE for each mountain basal elevation plot, this study identifies the factors that contribute significantly to MEE of the plateau. Seven factors are considered, including mountain basal elevation, distance from the core zone of MEE, thermal continentality, maximum elevation, height difference, area, and difference of underlying surface (with the yearly max “Normalized Difference Vegetation Index” (NDVI) serving as a quantitative indicator). We also used these seven factors as independent variables to develop a multiple linear regression model for MEE of the plateau. Results show that: (1) the determination coefficient (R2) of the model reaches as high as 0.877, and the contributions of mountain basal elevation, distance from the core zone of MEE, thermal continentality, maximum elevation, topographical height difference, area, and NDVI are 39.77%, 23.02%, 14.48%, 5.78%, 11.41%, 2.92%, and 2.62%, respectively, with mountain basal elevation and the distance from the core of MEE as the most important factors; (2) thermal continentality and MEE are significantly correlated, and maximum elevation only has a coupling relationship with MEE, with height difference and NDVI contributing little to MEE. This study deepens our understanding of MEE and its forming factors in the Tibetan Plateau.
abstractGer	Abstract The mass elevation effect (MEE) of the Tibetan Plateau (TP) has attracted the attention of geographers because of its significant influence on the Asian climate, snow line, timberline, and other important climate-ecological boundaries of the plateau and on global ecological patterns. In recent years, much progress has been made in quantifying the MEE of TP. However, factors that affect the size of MEE have not been examined in depth, and the key factors still remain unclear. Based on quantification of MEE for each mountain basal elevation plot, this study identifies the factors that contribute significantly to MEE of the plateau. Seven factors are considered, including mountain basal elevation, distance from the core zone of MEE, thermal continentality, maximum elevation, height difference, area, and difference of underlying surface (with the yearly max “Normalized Difference Vegetation Index” (NDVI) serving as a quantitative indicator). We also used these seven factors as independent variables to develop a multiple linear regression model for MEE of the plateau. Results show that: (1) the determination coefficient (R2) of the model reaches as high as 0.877, and the contributions of mountain basal elevation, distance from the core zone of MEE, thermal continentality, maximum elevation, topographical height difference, area, and NDVI are 39.77%, 23.02%, 14.48%, 5.78%, 11.41%, 2.92%, and 2.62%, respectively, with mountain basal elevation and the distance from the core of MEE as the most important factors; (2) thermal continentality and MEE are significantly correlated, and maximum elevation only has a coupling relationship with MEE, with height difference and NDVI contributing little to MEE. This study deepens our understanding of MEE and its forming factors in the Tibetan Plateau.
abstract_unstemmed	Abstract The mass elevation effect (MEE) of the Tibetan Plateau (TP) has attracted the attention of geographers because of its significant influence on the Asian climate, snow line, timberline, and other important climate-ecological boundaries of the plateau and on global ecological patterns. In recent years, much progress has been made in quantifying the MEE of TP. However, factors that affect the size of MEE have not been examined in depth, and the key factors still remain unclear. Based on quantification of MEE for each mountain basal elevation plot, this study identifies the factors that contribute significantly to MEE of the plateau. Seven factors are considered, including mountain basal elevation, distance from the core zone of MEE, thermal continentality, maximum elevation, height difference, area, and difference of underlying surface (with the yearly max “Normalized Difference Vegetation Index” (NDVI) serving as a quantitative indicator). We also used these seven factors as independent variables to develop a multiple linear regression model for MEE of the plateau. Results show that: (1) the determination coefficient (R2) of the model reaches as high as 0.877, and the contributions of mountain basal elevation, distance from the core zone of MEE, thermal continentality, maximum elevation, topographical height difference, area, and NDVI are 39.77%, 23.02%, 14.48%, 5.78%, 11.41%, 2.92%, and 2.62%, respectively, with mountain basal elevation and the distance from the core of MEE as the most important factors; (2) thermal continentality and MEE are significantly correlated, and maximum elevation only has a coupling relationship with MEE, with height difference and NDVI contributing little to MEE. This study deepens our understanding of MEE and its forming factors in the Tibetan Plateau.
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container_issue	11
title_short	What factors determine the mass elevation effect of the Tibetan Plateau?
url	https://dx.doi.org/10.1007/s11629-020-6011-9
remote_bool	true
author2	Wan, Li Wu, Hong-zhi Zhang, Bai-ping Gao, Lan Song, Ge
author2Str	Wan, Li Wu, Hong-zhi Zhang, Bai-ping Gao, Lan Song, Ge
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doi_str	10.1007/s11629-020-6011-9
up_date	2024-07-04T00:08:22.023Z
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What factors determine the mass elevation effect of the Tibetan Plateau?

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