Assessment of Climate Change Impacts on the Distribution of Endangered and Endemic Changnienia amoena (Orchidaceae) Using Ensemble Modeling and Gap Analysis in China

被引:0
|
作者
Liu, Ting [1 ]
Cai, Hanwei [1 ]
Zhang, Guangfu [1 ]
机构
[1] Nanjing Normal Univ, Sch Life Sci, Jiangsu Key Lab Biodivers & Biotechnol, Nanjing, Peoples R China
来源
ECOLOGY AND EVOLUTION | 2024年 / 14卷 / 11期
关键词
climate change; conservation; distribution range; environmental factors; Orchidaceae; SPECIES DISTRIBUTION MODELS; SPATIAL DISTRIBUTIONS; POLLINATION BIOLOGY; CONSERVATION; PREDICTION; PSEUDOBULBS; RICHNESS; SURFACES; DRIVERS; AGE;
D O I
10.1002/ece3.70636
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Climate change has significant impacts on the distribution of orchids. The endemic and endangered orchids are more susceptible to climate change than widely distributed orchids. To date, little is known concerning the response of endangered Changnienia amoena, endemic to China, to different climate scenarios. Here, we build an ensemble model comprising random forest model, maximum entropy model, and gradient boosting model in Biomod2 package to project its potential distribution in China, evaluate its current protective effectiveness, and identify its conservation gaps in China by determining the C. amoena population range within the natural protected areas. The outcomes showed that the four key environmental factors influencing its distribution were mean diurnal temperature range, minimum temperature of the coldest month, temperature seasonality, and precipitation of the warmest quarter. This orchid was currently distributed mainly in southern Anhui, central and western Hubei, western Hunan, southern Shaanxi, and eastern Sichuan province. The total suitable area of C. amoena was 58.33 x 104 km2, only accounting for 6.08% of China's total territory, which is larger than known. However, only 4.48% of the suitable area is located within national nature reserves and 3.33% within provincial nature reserves, respectively. During the last inter glacial and mid-holocene, its suitable areas were larger than the current. Under six future climate scenarios, its suitable areas may decrease averagely by 2.26% relative to the current, with severe habitat fragmentation. Collectively, the centroid of C. amoena is expected to shift towards the southeast in the future. Therefore, our findings demonstrate that climate change has an adverse effect on its potential distribution. We recommend expanding protected areas or establishing new conservation sites for C. amoena in China. Furthermore, our study can help to inform the development of conservation management strategies for other endangered Chinese endemic orchids under climate change.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] Assessment of climate change impacts on climate variables using probabilistic ensemble modeling and trend analysis
    Safavi, Hamid R.
    Sajjadi, Sayed Mahdi
    Raghibi, Vahid
    THEORETICAL AND APPLIED CLIMATOLOGY, 2017, 130 (1-2) : 635 - 653
  • [2] Assessment of climate change impacts on climate variables using probabilistic ensemble modeling and trend analysis
    Hamid R. Safavi
    Sayed Mahdi Sajjadi
    Vahid Raghibi
    Theoretical and Applied Climatology, 2017, 130 : 635 - 653
  • [3] Modeling impacts of climate change on the potential distribution of three endemic Aloe species critically endangered in East Africa
    Mkala, Elijah Mbandi
    Mutinda, Elizabeth Syowai
    Wanga, Vincent Okelo
    Oulo, Milicent Akinyi
    Oluoch, Wyclife Agumba
    Nzei, John
    Waswa, Emmanuel Nyongesa
    Odago, Wyclif
    Nanjala, Consolata
    Mwachala, Geoffrey
    Hu, Guang-Wan
    Wang, Qing-Feng
    ECOLOGICAL INFORMATICS, 2022, 71
  • [4] Impacts of Climate Change on the Potential Suitable Ecological Niches of the Endemic and Endangered Conifer Pinus bungeana in China
    Zhang, Xiaowei
    Fan, Yuke
    Niu, Furong
    Lu, Songsong
    Du, Weibo
    Wang, Xuhu
    Zhou, Xiaolei
    FORESTS, 2025, 16 (03):
  • [5] Modeling impacts of climate change on the potential distribution of six endemic baobab species in Madagascar
    Wan, Jun-Nan
    Mbari, Ndungu J.
    Wang, Sheng-Wei
    Liu, Bing
    Mwangi, Brian N.
    Rasoarahona, Jean R. E.
    Xin, Hai-Ping
    Zhou, Ya-Dong
    Wang, Qing-Feng
    PLANT DIVERSITY, 2021, 43 (02) : 117 - 124
  • [6] Modeling impacts of climate change on the potential distribution of six endemic baobab species in Madagascar
    Jun-Nan Wan
    Ndungu J.Mbari
    Sheng-Wei Wang
    Bing Liu
    Brian N.Mwangi
    Jean R.E.Rasoarahona
    Hai-Ping Xin
    Ya-Dong Zhou
    Qing-Feng Wang
    Plant Diversity, 2021, 43 (02) : 117 - 124
  • [7] Predicting the Potential Distribution of the Endangered Plant Cremastra appendiculata (Orchidaceae) in China under Multiple Climate Change Scenarios
    Li, Wen-Na
    Zhao, Qian
    Guo, Ming-Hao
    Lu, Chan
    Huang, Fei
    Wang, Zhe-Zhi
    Niu, Jun-Feng
    FORESTS, 2022, 13 (09):
  • [8] An assessment of potential distribution and climate change impacts on a critically endangered primate, the Delacour's langur
    Nguyen, Thanh, V
    Huy Man
    Anh Nguyen
    RAFFLES BULLETIN OF ZOOLOGY, 2022, 70 : 30 - 38
  • [9] Estimating the Potential Impacts of Climate Change on the Spatial Distribution of Garuga forrestii, an Endemic Species in China
    Tiamiyu, Bashir B.
    Ngarega, Boniface K.
    Zhang, Xu
    Zhang, Huajie
    Kuang, Tianhui
    Huang, Gui-Yun
    Deng, Tao
    Wang, Hengchang
    FORESTS, 2021, 12 (12):
  • [10] Modeling impacts of climate change on the potential habitat of an endangered Brazilian endemic coral: Discussion about deep sea refugia
    Rodrigues de Oliveira, Umberto Diego
    Gomes, Paula Braga
    Silva Cordeiro, Ralf Tarciso
    de Lima, Gislaine Vanessa
    Perez, Carlos Daniel
    PLOS ONE, 2019, 14 (05):