Prediction of potentially suitable distribution areas of Thesium chinense Turcz. in China against the background of climate change

Abstract With traditional Chinese medicine playing an increasingly important role in human society, the scarcity of wild resources has become a key constraint to the development of the industry. For this study, optimized maximum entropy models were employed to predict the patterns and changes in pot...
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Autor*in:	Gao, Peng [verfasserIn] Si, He Zhao, Qian Li, Gang Zhang, Xinfei Guo, Minghao Wang, Shiqiang Niu, Junfeng Wang, Zhezhi

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Turcz. Ecological niche modeling Maximum entropy Prediction of suitable region

Anmerkung:	© The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Übergeordnetes Werk:	Enthalten in: Plant ecology - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1997, 224(2023), 5 vom: 15. März, Seite 449-461
Übergeordnetes Werk:	volume:224 ; year:2023 ; number:5 ; day:15 ; month:03 ; pages:449-461

Links:	Volltext

DOI / URN:	10.1007/s11258-023-01312-6

Katalog-ID:	SPR050309560

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520			\|a Abstract With traditional Chinese medicine playing an increasingly important role in human society, the scarcity of wild resources has become a key constraint to the development of the industry. For this study, optimized maximum entropy models were employed to predict the patterns and changes in potentially suitable distribution areas for Thesium chinense Turcz. in China, in the present (1970–2000) and future (2050s, 2070s, and 2090s) under multiple climate scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). The results showed that the predicted regions of high, medium, and low potential fitness zones were 6.19 × $ 10^{4} $, 150.99 × $ 10^{4} $, and 155.61 × $ 10^{4} $ $ km^{2} $. The highly suitable areas were primarily found in Shandong and Shanxi Provinces. Furthermore, we found its relatively stable habitat was mainly distributed across South Central Shanxi, Eastern Gansu, and Midwest Guizhou. An analysis of the transfer of masses revealed that the potential habitat of the plant migrated in a northwesterly direction under various climatic conditions.
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700	1		\|a Wang, Zhezhi \|4 aut
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912			\|a GBV_ILN_161
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912			\|a GBV_ILN_187
912			\|a GBV_ILN_213
912			\|a GBV_ILN_224
912			\|a GBV_ILN_230
912			\|a GBV_ILN_250
912			\|a GBV_ILN_281
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_374
912			\|a GBV_ILN_602
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912			\|a GBV_ILN_2057
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allfields	10.1007/s11258-023-01312-6 doi (DE-627)SPR050309560 (SPR)s11258-023-01312-6-e DE-627 ger DE-627 rakwb eng Gao, Peng verfasserin aut Prediction of potentially suitable distribution areas of Thesium chinense Turcz. in China against the background of climate change 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract With traditional Chinese medicine playing an increasingly important role in human society, the scarcity of wild resources has become a key constraint to the development of the industry. For this study, optimized maximum entropy models were employed to predict the patterns and changes in potentially suitable distribution areas for Thesium chinense Turcz. in China, in the present (1970–2000) and future (2050s, 2070s, and 2090s) under multiple climate scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). The results showed that the predicted regions of high, medium, and low potential fitness zones were 6.19 × $ 10^{4} $, 150.99 × $ 10^{4} $, and 155.61 × $ 10^{4} $ $ km^{2} $. The highly suitable areas were primarily found in Shandong and Shanxi Provinces. Furthermore, we found its relatively stable habitat was mainly distributed across South Central Shanxi, Eastern Gansu, and Midwest Guizhou. An analysis of the transfer of masses revealed that the potential habitat of the plant migrated in a northwesterly direction under various climatic conditions. Turcz. (dpeaa)DE-He213 Ecological niche modeling (dpeaa)DE-He213 Maximum entropy (dpeaa)DE-He213 Prediction of suitable region (dpeaa)DE-He213 Si, He aut Zhao, Qian aut Li, Gang aut Zhang, Xinfei aut Guo, Minghao aut Wang, Shiqiang aut Niu, Junfeng aut Wang, Zhezhi aut Enthalten in Plant ecology Dordrecht [u.a.] : Springer Science + Business Media B.V, 1997 224(2023), 5 vom: 15. März, Seite 449-461 (DE-627)271177578 (DE-600)1479167-5 1573-5052 nnns volume:224 year:2023 number:5 day:15 month:03 pages:449-461 https://dx.doi.org/10.1007/s11258-023-01312-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_2018 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_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2939 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 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_4346 GBV_ILN_4393 GBV_ILN_4700 AR 224 2023 5 15 03 449-461
spelling	10.1007/s11258-023-01312-6 doi (DE-627)SPR050309560 (SPR)s11258-023-01312-6-e DE-627 ger DE-627 rakwb eng Gao, Peng verfasserin aut Prediction of potentially suitable distribution areas of Thesium chinense Turcz. in China against the background of climate change 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract With traditional Chinese medicine playing an increasingly important role in human society, the scarcity of wild resources has become a key constraint to the development of the industry. For this study, optimized maximum entropy models were employed to predict the patterns and changes in potentially suitable distribution areas for Thesium chinense Turcz. in China, in the present (1970–2000) and future (2050s, 2070s, and 2090s) under multiple climate scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). The results showed that the predicted regions of high, medium, and low potential fitness zones were 6.19 × $ 10^{4} $, 150.99 × $ 10^{4} $, and 155.61 × $ 10^{4} $ $ km^{2} $. The highly suitable areas were primarily found in Shandong and Shanxi Provinces. Furthermore, we found its relatively stable habitat was mainly distributed across South Central Shanxi, Eastern Gansu, and Midwest Guizhou. An analysis of the transfer of masses revealed that the potential habitat of the plant migrated in a northwesterly direction under various climatic conditions. Turcz. (dpeaa)DE-He213 Ecological niche modeling (dpeaa)DE-He213 Maximum entropy (dpeaa)DE-He213 Prediction of suitable region (dpeaa)DE-He213 Si, He aut Zhao, Qian aut Li, Gang aut Zhang, Xinfei aut Guo, Minghao aut Wang, Shiqiang aut Niu, Junfeng aut Wang, Zhezhi aut Enthalten in Plant ecology Dordrecht [u.a.] : Springer Science + Business Media B.V, 1997 224(2023), 5 vom: 15. März, Seite 449-461 (DE-627)271177578 (DE-600)1479167-5 1573-5052 nnns volume:224 year:2023 number:5 day:15 month:03 pages:449-461 https://dx.doi.org/10.1007/s11258-023-01312-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_2018 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_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2939 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 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_4346 GBV_ILN_4393 GBV_ILN_4700 AR 224 2023 5 15 03 449-461
allfields_unstemmed	10.1007/s11258-023-01312-6 doi (DE-627)SPR050309560 (SPR)s11258-023-01312-6-e DE-627 ger DE-627 rakwb eng Gao, Peng verfasserin aut Prediction of potentially suitable distribution areas of Thesium chinense Turcz. in China against the background of climate change 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract With traditional Chinese medicine playing an increasingly important role in human society, the scarcity of wild resources has become a key constraint to the development of the industry. For this study, optimized maximum entropy models were employed to predict the patterns and changes in potentially suitable distribution areas for Thesium chinense Turcz. in China, in the present (1970–2000) and future (2050s, 2070s, and 2090s) under multiple climate scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). The results showed that the predicted regions of high, medium, and low potential fitness zones were 6.19 × $ 10^{4} $, 150.99 × $ 10^{4} $, and 155.61 × $ 10^{4} $ $ km^{2} $. The highly suitable areas were primarily found in Shandong and Shanxi Provinces. Furthermore, we found its relatively stable habitat was mainly distributed across South Central Shanxi, Eastern Gansu, and Midwest Guizhou. An analysis of the transfer of masses revealed that the potential habitat of the plant migrated in a northwesterly direction under various climatic conditions. Turcz. (dpeaa)DE-He213 Ecological niche modeling (dpeaa)DE-He213 Maximum entropy (dpeaa)DE-He213 Prediction of suitable region (dpeaa)DE-He213 Si, He aut Zhao, Qian aut Li, Gang aut Zhang, Xinfei aut Guo, Minghao aut Wang, Shiqiang aut Niu, Junfeng aut Wang, Zhezhi aut Enthalten in Plant ecology Dordrecht [u.a.] : Springer Science + Business Media B.V, 1997 224(2023), 5 vom: 15. März, Seite 449-461 (DE-627)271177578 (DE-600)1479167-5 1573-5052 nnns volume:224 year:2023 number:5 day:15 month:03 pages:449-461 https://dx.doi.org/10.1007/s11258-023-01312-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_2018 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_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2939 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 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_4346 GBV_ILN_4393 GBV_ILN_4700 AR 224 2023 5 15 03 449-461
allfieldsGer	10.1007/s11258-023-01312-6 doi (DE-627)SPR050309560 (SPR)s11258-023-01312-6-e DE-627 ger DE-627 rakwb eng Gao, Peng verfasserin aut Prediction of potentially suitable distribution areas of Thesium chinense Turcz. in China against the background of climate change 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract With traditional Chinese medicine playing an increasingly important role in human society, the scarcity of wild resources has become a key constraint to the development of the industry. For this study, optimized maximum entropy models were employed to predict the patterns and changes in potentially suitable distribution areas for Thesium chinense Turcz. in China, in the present (1970–2000) and future (2050s, 2070s, and 2090s) under multiple climate scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). The results showed that the predicted regions of high, medium, and low potential fitness zones were 6.19 × $ 10^{4} $, 150.99 × $ 10^{4} $, and 155.61 × $ 10^{4} $ $ km^{2} $. The highly suitable areas were primarily found in Shandong and Shanxi Provinces. Furthermore, we found its relatively stable habitat was mainly distributed across South Central Shanxi, Eastern Gansu, and Midwest Guizhou. An analysis of the transfer of masses revealed that the potential habitat of the plant migrated in a northwesterly direction under various climatic conditions. Turcz. (dpeaa)DE-He213 Ecological niche modeling (dpeaa)DE-He213 Maximum entropy (dpeaa)DE-He213 Prediction of suitable region (dpeaa)DE-He213 Si, He aut Zhao, Qian aut Li, Gang aut Zhang, Xinfei aut Guo, Minghao aut Wang, Shiqiang aut Niu, Junfeng aut Wang, Zhezhi aut Enthalten in Plant ecology Dordrecht [u.a.] : Springer Science + Business Media B.V, 1997 224(2023), 5 vom: 15. März, Seite 449-461 (DE-627)271177578 (DE-600)1479167-5 1573-5052 nnns volume:224 year:2023 number:5 day:15 month:03 pages:449-461 https://dx.doi.org/10.1007/s11258-023-01312-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_2018 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_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2939 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 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_4346 GBV_ILN_4393 GBV_ILN_4700 AR 224 2023 5 15 03 449-461
allfieldsSound	10.1007/s11258-023-01312-6 doi (DE-627)SPR050309560 (SPR)s11258-023-01312-6-e DE-627 ger DE-627 rakwb eng Gao, Peng verfasserin aut Prediction of potentially suitable distribution areas of Thesium chinense Turcz. in China against the background of climate change 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract With traditional Chinese medicine playing an increasingly important role in human society, the scarcity of wild resources has become a key constraint to the development of the industry. For this study, optimized maximum entropy models were employed to predict the patterns and changes in potentially suitable distribution areas for Thesium chinense Turcz. in China, in the present (1970–2000) and future (2050s, 2070s, and 2090s) under multiple climate scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). The results showed that the predicted regions of high, medium, and low potential fitness zones were 6.19 × $ 10^{4} $, 150.99 × $ 10^{4} $, and 155.61 × $ 10^{4} $ $ km^{2} $. The highly suitable areas were primarily found in Shandong and Shanxi Provinces. Furthermore, we found its relatively stable habitat was mainly distributed across South Central Shanxi, Eastern Gansu, and Midwest Guizhou. An analysis of the transfer of masses revealed that the potential habitat of the plant migrated in a northwesterly direction under various climatic conditions. Turcz. (dpeaa)DE-He213 Ecological niche modeling (dpeaa)DE-He213 Maximum entropy (dpeaa)DE-He213 Prediction of suitable region (dpeaa)DE-He213 Si, He aut Zhao, Qian aut Li, Gang aut Zhang, Xinfei aut Guo, Minghao aut Wang, Shiqiang aut Niu, Junfeng aut Wang, Zhezhi aut Enthalten in Plant ecology Dordrecht [u.a.] : Springer Science + Business Media B.V, 1997 224(2023), 5 vom: 15. März, Seite 449-461 (DE-627)271177578 (DE-600)1479167-5 1573-5052 nnns volume:224 year:2023 number:5 day:15 month:03 pages:449-461 https://dx.doi.org/10.1007/s11258-023-01312-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_2018 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_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2939 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 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_4346 GBV_ILN_4393 GBV_ILN_4700 AR 224 2023 5 15 03 449-461
language	English
source	Enthalten in Plant ecology 224(2023), 5 vom: 15. März, Seite 449-461 volume:224 year:2023 number:5 day:15 month:03 pages:449-461
sourceStr	Enthalten in Plant ecology 224(2023), 5 vom: 15. März, Seite 449-461 volume:224 year:2023 number:5 day:15 month:03 pages:449-461
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Turcz. Ecological niche modeling Maximum entropy Prediction of suitable region
isfreeaccess_bool	false
container_title	Plant ecology
authorswithroles_txt_mv	Gao, Peng @@aut@@ Si, He @@aut@@ Zhao, Qian @@aut@@ Li, Gang @@aut@@ Zhang, Xinfei @@aut@@ Guo, Minghao @@aut@@ Wang, Shiqiang @@aut@@ Niu, Junfeng @@aut@@ Wang, Zhezhi @@aut@@
publishDateDaySort_date	2023-03-15T00:00:00Z
hierarchy_top_id	271177578
id	SPR050309560
language_de	englisch
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author	Gao, Peng
spellingShingle	Gao, Peng misc Turcz. misc Ecological niche modeling misc Maximum entropy misc Prediction of suitable region Prediction of potentially suitable distribution areas of Thesium chinense Turcz. in China against the background of climate change
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topic_title	Prediction of potentially suitable distribution areas of Thesium chinense Turcz. in China against the background of climate change Turcz. (dpeaa)DE-He213 Ecological niche modeling (dpeaa)DE-He213 Maximum entropy (dpeaa)DE-He213 Prediction of suitable region (dpeaa)DE-He213
topic	misc Turcz. misc Ecological niche modeling misc Maximum entropy misc Prediction of suitable region
topic_unstemmed	misc Turcz. misc Ecological niche modeling misc Maximum entropy misc Prediction of suitable region
topic_browse	misc Turcz. misc Ecological niche modeling misc Maximum entropy misc Prediction of suitable region
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title	Prediction of potentially suitable distribution areas of Thesium chinense Turcz. in China against the background of climate change
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title_full	Prediction of potentially suitable distribution areas of Thesium chinense Turcz. in China against the background of climate change
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author_browse	Gao, Peng Si, He Zhao, Qian Li, Gang Zhang, Xinfei Guo, Minghao Wang, Shiqiang Niu, Junfeng Wang, Zhezhi
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doi_str_mv	10.1007/s11258-023-01312-6
title_sort	prediction of potentially suitable distribution areas of thesium chinense turcz. in china against the background of climate change
title_auth	Prediction of potentially suitable distribution areas of Thesium chinense Turcz. in China against the background of climate change
abstract	Abstract With traditional Chinese medicine playing an increasingly important role in human society, the scarcity of wild resources has become a key constraint to the development of the industry. For this study, optimized maximum entropy models were employed to predict the patterns and changes in potentially suitable distribution areas for Thesium chinense Turcz. in China, in the present (1970–2000) and future (2050s, 2070s, and 2090s) under multiple climate scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). The results showed that the predicted regions of high, medium, and low potential fitness zones were 6.19 × $ 10^{4} $, 150.99 × $ 10^{4} $, and 155.61 × $ 10^{4} $ $ km^{2} $. The highly suitable areas were primarily found in Shandong and Shanxi Provinces. Furthermore, we found its relatively stable habitat was mainly distributed across South Central Shanxi, Eastern Gansu, and Midwest Guizhou. An analysis of the transfer of masses revealed that the potential habitat of the plant migrated in a northwesterly direction under various climatic conditions. © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
abstractGer	Abstract With traditional Chinese medicine playing an increasingly important role in human society, the scarcity of wild resources has become a key constraint to the development of the industry. For this study, optimized maximum entropy models were employed to predict the patterns and changes in potentially suitable distribution areas for Thesium chinense Turcz. in China, in the present (1970–2000) and future (2050s, 2070s, and 2090s) under multiple climate scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). The results showed that the predicted regions of high, medium, and low potential fitness zones were 6.19 × $ 10^{4} $, 150.99 × $ 10^{4} $, and 155.61 × $ 10^{4} $ $ km^{2} $. The highly suitable areas were primarily found in Shandong and Shanxi Provinces. Furthermore, we found its relatively stable habitat was mainly distributed across South Central Shanxi, Eastern Gansu, and Midwest Guizhou. An analysis of the transfer of masses revealed that the potential habitat of the plant migrated in a northwesterly direction under various climatic conditions. © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
abstract_unstemmed	Abstract With traditional Chinese medicine playing an increasingly important role in human society, the scarcity of wild resources has become a key constraint to the development of the industry. For this study, optimized maximum entropy models were employed to predict the patterns and changes in potentially suitable distribution areas for Thesium chinense Turcz. in China, in the present (1970–2000) and future (2050s, 2070s, and 2090s) under multiple climate scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). The results showed that the predicted regions of high, medium, and low potential fitness zones were 6.19 × $ 10^{4} $, 150.99 × $ 10^{4} $, and 155.61 × $ 10^{4} $ $ km^{2} $. The highly suitable areas were primarily found in Shandong and Shanxi Provinces. Furthermore, we found its relatively stable habitat was mainly distributed across South Central Shanxi, Eastern Gansu, and Midwest Guizhou. An analysis of the transfer of masses revealed that the potential habitat of the plant migrated in a northwesterly direction under various climatic conditions. © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
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container_issue	5
title_short	Prediction of potentially suitable distribution areas of Thesium chinense Turcz. in China against the background of climate change
url	https://dx.doi.org/10.1007/s11258-023-01312-6
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author2	Si, He Zhao, Qian Li, Gang Zhang, Xinfei Guo, Minghao Wang, Shiqiang Niu, Junfeng Wang, Zhezhi
author2Str	Si, He Zhao, Qian Li, Gang Zhang, Xinfei Guo, Minghao Wang, Shiqiang Niu, Junfeng Wang, Zhezhi
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doi_str	10.1007/s11258-023-01312-6
up_date	2024-07-03T14:43:39.299Z
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Prediction of potentially suitable distribution areas of Thesium chinense Turcz. in China against the background of climate change

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