Suitability of Habitats in Nepal for Dactylorhiza hatagirea Now and under Predicted Future Changes in Climate

被引:24
作者
Shrestha, Bikram [1 ,2 ]
Tsiftsis, Spyros [3 ]
Chapagain, Deep Jyoti [4 ,5 ]
Khadka, Chhatra [6 ]
Bhattarai, Prakash [4 ,7 ]
Kayastha Shrestha, Neelima [8 ]
Alicja Kolanowska, Marta [1 ,9 ]
Kindlmann, Pavel [1 ,2 ]
机构
[1] CAS, Global Change Res Inst, Dept Biodivers Res, Belidla 986-4a, Brno 60300, Czech Republic
[2] Charles Univ Prague, Fac Sci, Inst Environm Studies, Benatska 2, Prague 12801, Czech Republic
[3] Int Hellen Univ, Dept Forest & Nat Environm Sci, GR-66100 Drama, Greece
[4] Tribhuvan Univ, Cent Dept Bot, Kirtipur 44618, Nepal
[5] Univ Copenhagen, Dept Food & Resource Econ, DK-1165 Copenhagen, Denmark
[6] Govt Nepal Minist Forests & Environm, Dept Natl Parks & Wildlife Conservat, Chitwan Natl Pk, Kathmandu 44600, Nepal
[7] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
[8] Pokhara Univ, Sch Hlth & Allied Sci, Nat Product Chem, Pokhara 33700, Nepal
[9] Univ Lodz, Fac Biol & Environm Protect, Dept Geobot & Plant Ecol, Banacha 12-16, PL-90237 Lodz, Poland
来源
PLANTS-BASEL | 2021年 / 10卷 / 03期
关键词
Dactylorhiza hatagirea; medicinal plant; Himalaya; Nepal; climate change; Orchidaceae; POTENTIAL DISTRIBUTION; SPECIES DISTRIBUTIONS; DISTRIBUTION MODELS; MAXENT; CONSERVATION; ORCHIDS; DYNAMICS; SHIFTS; PLANTS; BIODIVERSITY;
D O I
10.3390/plants10030467
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Dactylorhiza hatagirea is a terrestrial orchid listed in Appendix II of the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) and classified as threatened by International Union for Conservation of Nature (IUCN). It is endemic to the Hindu-Kush Himalayan region, distributed from Pakistan to China. The main threat to its existence is climate change and the associated change in the distribution of its suitable habitats to higher altitudes due to increasing temperature. It is therefore necessary to determine the habitats that are suitable for its survival and their expected distribution after the predicted changes in climate. To do this, we use Maxent modelling of the data for its 208 locations. We predict its distribution in 2050 and 2070 using four climate change models and two greenhouse gas concentration trajectories. This revealed severe losses of suitable habitat in Nepal, in which, under the worst scenario, there will be a 71-81% reduction the number of suitable locations for D. hatagirea by 2050 and 95-98% by 2070. Under the most favorable scenario, this reduction will be 65-85% by 2070. The intermediate greenhouse gas concentration trajectory surprisingly would result in a greater reduction by 2070 than the worst-case scenario. Our results provide important guidelines that local authorities interested in conserving this species could use to select areas that need to be protected now and in the future.
引用
收藏
页码:1 / 21
页数:21
相关论文
共 95 条
[1]   Using MaxEnt modeling to predict the potential distribution of the endemic plant Rosa arabica Crep. in Egypt [J].
Abdelaal, Mohamed ;
Fois, Mauro ;
Fenu, Giuseppe ;
Bacchetta, Gianluigi .
ECOLOGICAL INFORMATICS, 2019, 50 :68-75
[2]   MaxEnt modeling for predicting suitable habitats and identifying the effects of climate change on a threatened species, Daphne mucronata, in central Iran [J].
Abolmaali, Seyed Mohammad-Reza ;
Tarkesh, Mostafa ;
Bashari, Hossein .
ECOLOGICAL INFORMATICS, 2018, 43 :116-123
[3]  
Aggarwal S., 2010, Nat. Sci., V8, P139
[4]   Changes in alpine plant communities under climate change: Dynamics of snow-meadow vegetation in northern Japan over the last 40 years [J].
Amagai, Yukihiro ;
Kudo, Gaku ;
Sato, Ken .
APPLIED VEGETATION SCIENCE, 2018, 21 (04) :561-571
[5]  
[Anonymous], 2002, STAT DESIGN ANAL FIE
[6]   The Potential Distribution of Tree Species in Three Periods of Time under a Climate Change Scenario [J].
Antunez, Pablo ;
Ernesto Suarez-Mota, Mario ;
Valenzuela-Encinas, Cesar ;
Ruiz-Aquino, Faustino .
FORESTS, 2018, 9 (10)
[7]   Distributional dynamics of a vulnerable species in response to past and future climate change: a window for conservation prospects [J].
Bai, Yunjun ;
Wei, Xueping ;
Li, Xiaoqiang .
PEERJ, 2018, 6
[8]  
Bhatt A, 2005, CURR SCI INDIA, V89, P610
[9]  
Bhattarai P., 2014, American Journal of Plant Sciences, V5, P3483
[10]   Relating populations to habitats using resource selection functions [J].
Boyce, MS ;
McDonald, LL .
TRENDS IN ECOLOGY & EVOLUTION, 1999, 14 (07) :268-272