IB-CAS  > 系统与进化植物学国家重点实验室
Low ecological representation in the protected area network of China
Xu, Haigen; Cao, Mingchang; Wang, Zhi; Wu, Yi1; Cao, Yun2; Wu, Jun; Le, Zhifang; Cui, Peng; Ding, Hui; Xu, Wanggu; Peng, Hua3; Jiang, Jianping4; Wu, Yuhu5; Jiang, Xuelong6; Zhang, Zhiyun7; Rao, Dingqi6; Li, Jianqiang8; Lei, Fumin9; Xia, Nianhe10; Han, Lianxian11; Cao, Wei12; Wu, Jiayu13; Xia, Xin; Li, Yimin14
2018
发表期刊ECOLOGY AND EVOLUTION
ISSN2045-7758
卷号8期号:12页码:6290-6298
摘要Protected areas are considered as an essential strategy to halt the decline of biodiversity. Ecological representation in protected areas is crucial for assessment on the progress toward conservation targets. Although China has established a large number of protected areas since the 1950s, ecological representation of protected areas is poorly understood. Here, we performed the complementarity analysis to evaluate ecological representation of protected areas in China. We used a database of the geographical distribution for 10,396 woody plant species, 2,305 fern species, 406 amphibian species, 460 reptile species, 1,364 bird species, and 590 mammal species from 2,376 counties across China. We identified complementary sets of counties for all species or threatened species of plant and vertebrate species using a complementarity algorithm. We evaluated ecological representation of 3,627 protected areas and discerned conservation gaps by comparing the distribution of protected areas with complementary sets. The results show that the spatially representative and complementary sites for biodiversity are poorly covered, and a fairly large proportion of protected areas is not designed to efficiently represent biodiversity at the national scale. Our methodology can serve as a generic framework for assessment on ecological representation of protected areas at the national scale.
关键词biodiversity complementarity conservation gaps species threatened species
学科领域Ecology ; Evolutionary Biology
DOI10.1002/ece3.4175
收录类别SCI
语种英语
WOS关键词CONSERVATION STRATEGIES ; GLOBAL CONSERVATION ; SPECIES RICHNESS ; BIODIVERSITY ; PRIORITIZATION ; HOTSPOTS ; COMPLEMENTARITY ; DIVERSITY ; SELECTION ; THREAT
WOS记录号WOS:000436799100026
出版者WILEY
文献子类Article
出版地HOBOKEN
资助机构National Key R&D Program of China [2017YFC0505200] ; Public Research and Development Program for the Environment Grant [201409061] ; Biodiversity Conservation Program of China
作者邮箱xhg@nies.org ; llym@ujs.edu.cn
作品OA属性Green Published, gold
引用统计
被引频次:23[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ibcas.ac.cn/handle/2S10CLM1/20480
专题系统与进化植物学国家重点实验室
作者单位1.Minist Environm Protect, Nanjing Inst Environm Sci, Nanjing, Jiangsu, Peoples R China
2.Nanjing Forestry Univ, Coll Forest Resources & Environm, Nanjing, Jiangsu, Peoples R China
3.Nanjing Univ, Coll Life Sci, Nanjing, Jiangsu, Peoples R China
4.Chinese Acad Sci, Kunming Inst Bot, Kunming, Yunnan, Peoples R China
5.Chinese Acad Sci, Chengdu Inst Biol, Chengdu, Sichuan, Peoples R China
6.Chinese Acad Sci, Northwest Inst Plateau Biol, Xining, Qinghai, Peoples R China
7.Chinese Acad Sci, Kunming Inst Zool, Kunming, Yunnan, Peoples R China
8.Chinese Acad Sci, Inst Bot, Beijing, Peoples R China
9.Chinese Acad Sci, Wuhan Bot Garden, Wuhan, Hubei, Peoples R China
10.Chinese Acad Sci, Inst Zool, Beijing, Peoples R China
11.Chinese Acad Sci, South China Bot Garden, Guangzhou, Guangdong, Peoples R China
12.Southwest Forestry Univ, Coll Forestry, Kunming, Yunnan, Peoples R China
13.Chinese Acad Sci, Inst Appl Ecol, Shenyang, Liaoning, Peoples R China
14.Peking Univ, Coll Urban & Environm Sci, Beijing, Peoples R China
15.Jiangsu Univ, Fac Sci, Zhenjiang, Peoples R China
推荐引用方式
GB/T 7714
Xu, Haigen,Cao, Mingchang,Wang, Zhi,et al. Low ecological representation in the protected area network of China[J]. ECOLOGY AND EVOLUTION,2018,8(12):6290-6298.
APA Xu, Haigen.,Cao, Mingchang.,Wang, Zhi.,Wu, Yi.,Cao, Yun.,...&Li, Yimin.(2018).Low ecological representation in the protected area network of China.ECOLOGY AND EVOLUTION,8(12),6290-6298.
MLA Xu, Haigen,et al."Low ecological representation in the protected area network of China".ECOLOGY AND EVOLUTION 8.12(2018):6290-6298.
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