Integrating hotspots for endemic, threatened and rare species supports the identification of priority areas for vascular plants in SW China

Southwest China (SW China) covers three global biodiversity hotspots—the Mountains of Southwest China, the Eastern Himalayas and the Indo-Burma, India and Myanmar region—and has been recognized as one of the world’s most important refuges for diverse types of wildlife. Knowledge of the distribution of vascular plants in SW China provides essential information for determining priority conservation areas within these global biodiversity hotspots. However, little is known of the congruence among hotspots identified by different criteria. Here, the research aimed to identify proxies that could represent vascular plants in SW China by identifying the spatial congruence between different hotspots. First, the distributions of species richness (SR), endemic species richness (ER), threatened species richness (TR) and rare species richness (RR) for 24,070 vascular plants in SW China were mapped. Then, Gi* statistics were used to identify endemic species hotspots (EH), threatened species hotspots (TH) and rare species hotspots (RH); spatial congruence was tested by overlapping these three hotspots. The results showed that the spatial congruence of EH, TH and RH in the three hotspots was low, only ~21% were common to the three hotspots, and ~51% did not overlap with any other hotspots. However, the integration of EH, TH and RH (EH ∪ TH ∪ RH) provided a robust proxy for vascular plant diversity based on metrics of conservation efficiency, as the combination represents ~84% of all vascular plants in SW China and supports ~81%, ~82% and ~75% of endemic, threatened and rare species, respectively. Finally, 8 hotspot regions (counties) representing 20,187 species were identified as priority conservation areas, with only ~8.2% land cover of SW China, suggesting that this hotspots integration approach can provide a robust alternative for enhancing overall levels of biodiversity conservation and improving the effectiveness and efficiency of local management efforts. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Zhang, Yinbo [verfasserIn] Wang, Guangyu [verfasserIn] Zhuang, Hongfei [verfasserIn] Wang, Lanhui [verfasserIn] Innes, John L. [verfasserIn] Ma, Keping [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Priority areas Hotspots Congruence Biodiversity conservation Southwest China

Übergeordnetes Werk:	Enthalten in: Forest ecology and management - Amsterdam [u.a.] : Elsevier Science, 1976, 484
Übergeordnetes Werk:	volume:484

DOI / URN:	10.1016/j.foreco.2021.118952

Katalog-ID:	ELV00550497X

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520			\|a Southwest China (SW China) covers three global biodiversity hotspots—the Mountains of Southwest China, the Eastern Himalayas and the Indo-Burma, India and Myanmar region—and has been recognized as one of the world’s most important refuges for diverse types of wildlife. Knowledge of the distribution of vascular plants in SW China provides essential information for determining priority conservation areas within these global biodiversity hotspots. However, little is known of the congruence among hotspots identified by different criteria. Here, the research aimed to identify proxies that could represent vascular plants in SW China by identifying the spatial congruence between different hotspots. First, the distributions of species richness (SR), endemic species richness (ER), threatened species richness (TR) and rare species richness (RR) for 24,070 vascular plants in SW China were mapped. Then, Gi* statistics were used to identify endemic species hotspots (EH), threatened species hotspots (TH) and rare species hotspots (RH); spatial congruence was tested by overlapping these three hotspots. The results showed that the spatial congruence of EH, TH and RH in the three hotspots was low, only ~21% were common to the three hotspots, and ~51% did not overlap with any other hotspots. However, the integration of EH, TH and RH (EH ∪ TH ∪ RH) provided a robust proxy for vascular plant diversity based on metrics of conservation efficiency, as the combination represents ~84% of all vascular plants in SW China and supports ~81%, ~82% and ~75% of endemic, threatened and rare species, respectively. Finally, 8 hotspot regions (counties) representing 20,187 species were identified as priority conservation areas, with only ~8.2% land cover of SW China, suggesting that this hotspots integration approach can provide a robust alternative for enhancing overall levels of biodiversity conservation and improving the effectiveness and efficiency of local management efforts.
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700	1		\|a Innes, John L. \|e verfasserin \|4 aut
700	1		\|a Ma, Keping \|e verfasserin \|4 aut
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allfields	10.1016/j.foreco.2021.118952 doi (DE-627)ELV00550497X (ELSEVIER)S0378-1127(21)00041-4 DE-627 ger DE-627 rda eng 570 630 640 DE-600 23 12 ssgn 48.00 bkl Zhang, Yinbo verfasserin (orcid)0000-0002-1804-3936 aut Integrating hotspots for endemic, threatened and rare species supports the identification of priority areas for vascular plants in SW China 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Southwest China (SW China) covers three global biodiversity hotspots—the Mountains of Southwest China, the Eastern Himalayas and the Indo-Burma, India and Myanmar region—and has been recognized as one of the world’s most important refuges for diverse types of wildlife. Knowledge of the distribution of vascular plants in SW China provides essential information for determining priority conservation areas within these global biodiversity hotspots. However, little is known of the congruence among hotspots identified by different criteria. Here, the research aimed to identify proxies that could represent vascular plants in SW China by identifying the spatial congruence between different hotspots. First, the distributions of species richness (SR), endemic species richness (ER), threatened species richness (TR) and rare species richness (RR) for 24,070 vascular plants in SW China were mapped. Then, Gi* statistics were used to identify endemic species hotspots (EH), threatened species hotspots (TH) and rare species hotspots (RH); spatial congruence was tested by overlapping these three hotspots. The results showed that the spatial congruence of EH, TH and RH in the three hotspots was low, only ~21% were common to the three hotspots, and ~51% did not overlap with any other hotspots. However, the integration of EH, TH and RH (EH ∪ TH ∪ RH) provided a robust proxy for vascular plant diversity based on metrics of conservation efficiency, as the combination represents ~84% of all vascular plants in SW China and supports ~81%, ~82% and ~75% of endemic, threatened and rare species, respectively. Finally, 8 hotspot regions (counties) representing 20,187 species were identified as priority conservation areas, with only ~8.2% land cover of SW China, suggesting that this hotspots integration approach can provide a robust alternative for enhancing overall levels of biodiversity conservation and improving the effectiveness and efficiency of local management efforts. Priority areas Hotspots Congruence Biodiversity conservation Southwest China Wang, Guangyu verfasserin aut Zhuang, Hongfei verfasserin aut Wang, Lanhui verfasserin aut Innes, John L. verfasserin aut Ma, Keping verfasserin aut Enthalten in Forest ecology and management Amsterdam [u.a.] : Elsevier Science, 1976 484 Online-Ressource (DE-627)320572463 (DE-600)2016648-5 (DE-576)090956303 0378-1127 nnns volume:484 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA SSG-OPC-FOR 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_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 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 48.00 Land- und Forstwirtschaft: Allgemeines AR 484
spelling	10.1016/j.foreco.2021.118952 doi (DE-627)ELV00550497X (ELSEVIER)S0378-1127(21)00041-4 DE-627 ger DE-627 rda eng 570 630 640 DE-600 23 12 ssgn 48.00 bkl Zhang, Yinbo verfasserin (orcid)0000-0002-1804-3936 aut Integrating hotspots for endemic, threatened and rare species supports the identification of priority areas for vascular plants in SW China 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Southwest China (SW China) covers three global biodiversity hotspots—the Mountains of Southwest China, the Eastern Himalayas and the Indo-Burma, India and Myanmar region—and has been recognized as one of the world’s most important refuges for diverse types of wildlife. Knowledge of the distribution of vascular plants in SW China provides essential information for determining priority conservation areas within these global biodiversity hotspots. However, little is known of the congruence among hotspots identified by different criteria. Here, the research aimed to identify proxies that could represent vascular plants in SW China by identifying the spatial congruence between different hotspots. First, the distributions of species richness (SR), endemic species richness (ER), threatened species richness (TR) and rare species richness (RR) for 24,070 vascular plants in SW China were mapped. Then, Gi* statistics were used to identify endemic species hotspots (EH), threatened species hotspots (TH) and rare species hotspots (RH); spatial congruence was tested by overlapping these three hotspots. The results showed that the spatial congruence of EH, TH and RH in the three hotspots was low, only ~21% were common to the three hotspots, and ~51% did not overlap with any other hotspots. However, the integration of EH, TH and RH (EH ∪ TH ∪ RH) provided a robust proxy for vascular plant diversity based on metrics of conservation efficiency, as the combination represents ~84% of all vascular plants in SW China and supports ~81%, ~82% and ~75% of endemic, threatened and rare species, respectively. Finally, 8 hotspot regions (counties) representing 20,187 species were identified as priority conservation areas, with only ~8.2% land cover of SW China, suggesting that this hotspots integration approach can provide a robust alternative for enhancing overall levels of biodiversity conservation and improving the effectiveness and efficiency of local management efforts. Priority areas Hotspots Congruence Biodiversity conservation Southwest China Wang, Guangyu verfasserin aut Zhuang, Hongfei verfasserin aut Wang, Lanhui verfasserin aut Innes, John L. verfasserin aut Ma, Keping verfasserin aut Enthalten in Forest ecology and management Amsterdam [u.a.] : Elsevier Science, 1976 484 Online-Ressource (DE-627)320572463 (DE-600)2016648-5 (DE-576)090956303 0378-1127 nnns volume:484 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA SSG-OPC-FOR 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_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 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 48.00 Land- und Forstwirtschaft: Allgemeines AR 484
allfields_unstemmed	10.1016/j.foreco.2021.118952 doi (DE-627)ELV00550497X (ELSEVIER)S0378-1127(21)00041-4 DE-627 ger DE-627 rda eng 570 630 640 DE-600 23 12 ssgn 48.00 bkl Zhang, Yinbo verfasserin (orcid)0000-0002-1804-3936 aut Integrating hotspots for endemic, threatened and rare species supports the identification of priority areas for vascular plants in SW China 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Southwest China (SW China) covers three global biodiversity hotspots—the Mountains of Southwest China, the Eastern Himalayas and the Indo-Burma, India and Myanmar region—and has been recognized as one of the world’s most important refuges for diverse types of wildlife. Knowledge of the distribution of vascular plants in SW China provides essential information for determining priority conservation areas within these global biodiversity hotspots. However, little is known of the congruence among hotspots identified by different criteria. Here, the research aimed to identify proxies that could represent vascular plants in SW China by identifying the spatial congruence between different hotspots. First, the distributions of species richness (SR), endemic species richness (ER), threatened species richness (TR) and rare species richness (RR) for 24,070 vascular plants in SW China were mapped. Then, Gi* statistics were used to identify endemic species hotspots (EH), threatened species hotspots (TH) and rare species hotspots (RH); spatial congruence was tested by overlapping these three hotspots. The results showed that the spatial congruence of EH, TH and RH in the three hotspots was low, only ~21% were common to the three hotspots, and ~51% did not overlap with any other hotspots. However, the integration of EH, TH and RH (EH ∪ TH ∪ RH) provided a robust proxy for vascular plant diversity based on metrics of conservation efficiency, as the combination represents ~84% of all vascular plants in SW China and supports ~81%, ~82% and ~75% of endemic, threatened and rare species, respectively. Finally, 8 hotspot regions (counties) representing 20,187 species were identified as priority conservation areas, with only ~8.2% land cover of SW China, suggesting that this hotspots integration approach can provide a robust alternative for enhancing overall levels of biodiversity conservation and improving the effectiveness and efficiency of local management efforts. Priority areas Hotspots Congruence Biodiversity conservation Southwest China Wang, Guangyu verfasserin aut Zhuang, Hongfei verfasserin aut Wang, Lanhui verfasserin aut Innes, John L. verfasserin aut Ma, Keping verfasserin aut Enthalten in Forest ecology and management Amsterdam [u.a.] : Elsevier Science, 1976 484 Online-Ressource (DE-627)320572463 (DE-600)2016648-5 (DE-576)090956303 0378-1127 nnns volume:484 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA SSG-OPC-FOR 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_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 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 48.00 Land- und Forstwirtschaft: Allgemeines AR 484
allfieldsGer	10.1016/j.foreco.2021.118952 doi (DE-627)ELV00550497X (ELSEVIER)S0378-1127(21)00041-4 DE-627 ger DE-627 rda eng 570 630 640 DE-600 23 12 ssgn 48.00 bkl Zhang, Yinbo verfasserin (orcid)0000-0002-1804-3936 aut Integrating hotspots for endemic, threatened and rare species supports the identification of priority areas for vascular plants in SW China 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Southwest China (SW China) covers three global biodiversity hotspots—the Mountains of Southwest China, the Eastern Himalayas and the Indo-Burma, India and Myanmar region—and has been recognized as one of the world’s most important refuges for diverse types of wildlife. Knowledge of the distribution of vascular plants in SW China provides essential information for determining priority conservation areas within these global biodiversity hotspots. However, little is known of the congruence among hotspots identified by different criteria. Here, the research aimed to identify proxies that could represent vascular plants in SW China by identifying the spatial congruence between different hotspots. First, the distributions of species richness (SR), endemic species richness (ER), threatened species richness (TR) and rare species richness (RR) for 24,070 vascular plants in SW China were mapped. Then, Gi* statistics were used to identify endemic species hotspots (EH), threatened species hotspots (TH) and rare species hotspots (RH); spatial congruence was tested by overlapping these three hotspots. The results showed that the spatial congruence of EH, TH and RH in the three hotspots was low, only ~21% were common to the three hotspots, and ~51% did not overlap with any other hotspots. However, the integration of EH, TH and RH (EH ∪ TH ∪ RH) provided a robust proxy for vascular plant diversity based on metrics of conservation efficiency, as the combination represents ~84% of all vascular plants in SW China and supports ~81%, ~82% and ~75% of endemic, threatened and rare species, respectively. Finally, 8 hotspot regions (counties) representing 20,187 species were identified as priority conservation areas, with only ~8.2% land cover of SW China, suggesting that this hotspots integration approach can provide a robust alternative for enhancing overall levels of biodiversity conservation and improving the effectiveness and efficiency of local management efforts. Priority areas Hotspots Congruence Biodiversity conservation Southwest China Wang, Guangyu verfasserin aut Zhuang, Hongfei verfasserin aut Wang, Lanhui verfasserin aut Innes, John L. verfasserin aut Ma, Keping verfasserin aut Enthalten in Forest ecology and management Amsterdam [u.a.] : Elsevier Science, 1976 484 Online-Ressource (DE-627)320572463 (DE-600)2016648-5 (DE-576)090956303 0378-1127 nnns volume:484 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA SSG-OPC-FOR 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_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 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 48.00 Land- und Forstwirtschaft: Allgemeines AR 484
allfieldsSound	10.1016/j.foreco.2021.118952 doi (DE-627)ELV00550497X (ELSEVIER)S0378-1127(21)00041-4 DE-627 ger DE-627 rda eng 570 630 640 DE-600 23 12 ssgn 48.00 bkl Zhang, Yinbo verfasserin (orcid)0000-0002-1804-3936 aut Integrating hotspots for endemic, threatened and rare species supports the identification of priority areas for vascular plants in SW China 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Southwest China (SW China) covers three global biodiversity hotspots—the Mountains of Southwest China, the Eastern Himalayas and the Indo-Burma, India and Myanmar region—and has been recognized as one of the world’s most important refuges for diverse types of wildlife. Knowledge of the distribution of vascular plants in SW China provides essential information for determining priority conservation areas within these global biodiversity hotspots. However, little is known of the congruence among hotspots identified by different criteria. Here, the research aimed to identify proxies that could represent vascular plants in SW China by identifying the spatial congruence between different hotspots. First, the distributions of species richness (SR), endemic species richness (ER), threatened species richness (TR) and rare species richness (RR) for 24,070 vascular plants in SW China were mapped. Then, Gi* statistics were used to identify endemic species hotspots (EH), threatened species hotspots (TH) and rare species hotspots (RH); spatial congruence was tested by overlapping these three hotspots. The results showed that the spatial congruence of EH, TH and RH in the three hotspots was low, only ~21% were common to the three hotspots, and ~51% did not overlap with any other hotspots. However, the integration of EH, TH and RH (EH ∪ TH ∪ RH) provided a robust proxy for vascular plant diversity based on metrics of conservation efficiency, as the combination represents ~84% of all vascular plants in SW China and supports ~81%, ~82% and ~75% of endemic, threatened and rare species, respectively. Finally, 8 hotspot regions (counties) representing 20,187 species were identified as priority conservation areas, with only ~8.2% land cover of SW China, suggesting that this hotspots integration approach can provide a robust alternative for enhancing overall levels of biodiversity conservation and improving the effectiveness and efficiency of local management efforts. Priority areas Hotspots Congruence Biodiversity conservation Southwest China Wang, Guangyu verfasserin aut Zhuang, Hongfei verfasserin aut Wang, Lanhui verfasserin aut Innes, John L. verfasserin aut Ma, Keping verfasserin aut Enthalten in Forest ecology and management Amsterdam [u.a.] : Elsevier Science, 1976 484 Online-Ressource (DE-627)320572463 (DE-600)2016648-5 (DE-576)090956303 0378-1127 nnns volume:484 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA SSG-OPC-FOR 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_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 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 48.00 Land- und Forstwirtschaft: Allgemeines AR 484
language	English
source	Enthalten in Forest ecology and management 484 volume:484
sourceStr	Enthalten in Forest ecology and management 484 volume:484
format_phy_str_mv	Article
bklname	Land- und Forstwirtschaft: Allgemeines
institution	findex.gbv.de
topic_facet	Priority areas Hotspots Congruence Biodiversity conservation Southwest China
dewey-raw	570
isfreeaccess_bool	false
container_title	Forest ecology and management
authorswithroles_txt_mv	Zhang, Yinbo @@aut@@ Wang, Guangyu @@aut@@ Zhuang, Hongfei @@aut@@ Wang, Lanhui @@aut@@ Innes, John L. @@aut@@ Ma, Keping @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
hierarchy_top_id	320572463
dewey-sort	3570
id	ELV00550497X
language_de	englisch
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author	Zhang, Yinbo
spellingShingle	Zhang, Yinbo ddc 570 ssgn 23 bkl 48.00 misc Priority areas misc Hotspots misc Congruence misc Biodiversity conservation misc Southwest China Integrating hotspots for endemic, threatened and rare species supports the identification of priority areas for vascular plants in SW China
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title	Integrating hotspots for endemic, threatened and rare species supports the identification of priority areas for vascular plants in SW China
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title_full	Integrating hotspots for endemic, threatened and rare species supports the identification of priority areas for vascular plants in SW China
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title_sort	integrating hotspots for endemic, threatened and rare species supports the identification of priority areas for vascular plants in sw china
title_auth	Integrating hotspots for endemic, threatened and rare species supports the identification of priority areas for vascular plants in SW China
abstract	Southwest China (SW China) covers three global biodiversity hotspots—the Mountains of Southwest China, the Eastern Himalayas and the Indo-Burma, India and Myanmar region—and has been recognized as one of the world’s most important refuges for diverse types of wildlife. Knowledge of the distribution of vascular plants in SW China provides essential information for determining priority conservation areas within these global biodiversity hotspots. However, little is known of the congruence among hotspots identified by different criteria. Here, the research aimed to identify proxies that could represent vascular plants in SW China by identifying the spatial congruence between different hotspots. First, the distributions of species richness (SR), endemic species richness (ER), threatened species richness (TR) and rare species richness (RR) for 24,070 vascular plants in SW China were mapped. Then, Gi* statistics were used to identify endemic species hotspots (EH), threatened species hotspots (TH) and rare species hotspots (RH); spatial congruence was tested by overlapping these three hotspots. The results showed that the spatial congruence of EH, TH and RH in the three hotspots was low, only ~21% were common to the three hotspots, and ~51% did not overlap with any other hotspots. However, the integration of EH, TH and RH (EH ∪ TH ∪ RH) provided a robust proxy for vascular plant diversity based on metrics of conservation efficiency, as the combination represents ~84% of all vascular plants in SW China and supports ~81%, ~82% and ~75% of endemic, threatened and rare species, respectively. Finally, 8 hotspot regions (counties) representing 20,187 species were identified as priority conservation areas, with only ~8.2% land cover of SW China, suggesting that this hotspots integration approach can provide a robust alternative for enhancing overall levels of biodiversity conservation and improving the effectiveness and efficiency of local management efforts.
abstractGer	Southwest China (SW China) covers three global biodiversity hotspots—the Mountains of Southwest China, the Eastern Himalayas and the Indo-Burma, India and Myanmar region—and has been recognized as one of the world’s most important refuges for diverse types of wildlife. Knowledge of the distribution of vascular plants in SW China provides essential information for determining priority conservation areas within these global biodiversity hotspots. However, little is known of the congruence among hotspots identified by different criteria. Here, the research aimed to identify proxies that could represent vascular plants in SW China by identifying the spatial congruence between different hotspots. First, the distributions of species richness (SR), endemic species richness (ER), threatened species richness (TR) and rare species richness (RR) for 24,070 vascular plants in SW China were mapped. Then, Gi* statistics were used to identify endemic species hotspots (EH), threatened species hotspots (TH) and rare species hotspots (RH); spatial congruence was tested by overlapping these three hotspots. The results showed that the spatial congruence of EH, TH and RH in the three hotspots was low, only ~21% were common to the three hotspots, and ~51% did not overlap with any other hotspots. However, the integration of EH, TH and RH (EH ∪ TH ∪ RH) provided a robust proxy for vascular plant diversity based on metrics of conservation efficiency, as the combination represents ~84% of all vascular plants in SW China and supports ~81%, ~82% and ~75% of endemic, threatened and rare species, respectively. Finally, 8 hotspot regions (counties) representing 20,187 species were identified as priority conservation areas, with only ~8.2% land cover of SW China, suggesting that this hotspots integration approach can provide a robust alternative for enhancing overall levels of biodiversity conservation and improving the effectiveness and efficiency of local management efforts.
abstract_unstemmed	Southwest China (SW China) covers three global biodiversity hotspots—the Mountains of Southwest China, the Eastern Himalayas and the Indo-Burma, India and Myanmar region—and has been recognized as one of the world’s most important refuges for diverse types of wildlife. Knowledge of the distribution of vascular plants in SW China provides essential information for determining priority conservation areas within these global biodiversity hotspots. However, little is known of the congruence among hotspots identified by different criteria. Here, the research aimed to identify proxies that could represent vascular plants in SW China by identifying the spatial congruence between different hotspots. First, the distributions of species richness (SR), endemic species richness (ER), threatened species richness (TR) and rare species richness (RR) for 24,070 vascular plants in SW China were mapped. Then, Gi* statistics were used to identify endemic species hotspots (EH), threatened species hotspots (TH) and rare species hotspots (RH); spatial congruence was tested by overlapping these three hotspots. The results showed that the spatial congruence of EH, TH and RH in the three hotspots was low, only ~21% were common to the three hotspots, and ~51% did not overlap with any other hotspots. However, the integration of EH, TH and RH (EH ∪ TH ∪ RH) provided a robust proxy for vascular plant diversity based on metrics of conservation efficiency, as the combination represents ~84% of all vascular plants in SW China and supports ~81%, ~82% and ~75% of endemic, threatened and rare species, respectively. Finally, 8 hotspot regions (counties) representing 20,187 species were identified as priority conservation areas, with only ~8.2% land cover of SW China, suggesting that this hotspots integration approach can provide a robust alternative for enhancing overall levels of biodiversity conservation and improving the effectiveness and efficiency of local management efforts.
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title_short	Integrating hotspots for endemic, threatened and rare species supports the identification of priority areas for vascular plants in SW China
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Integrating hotspots for endemic, threatened and rare species supports the identification of priority areas for vascular plants in SW China

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