Current and future habitat suitability modelling of Bambusa teres outside forest areas in Nepal under climate change scenarios

被引:1
作者
Kharel, Binay [1 ]
Ayer, Santosh [2 ]
Kafle, Samit [1 ]
Timilsina, Sachin [3 ]
Bhatta, Kishor Prasad [4 ]
Gautam, Jeetendra [1 ]
Acharya, Amul Kumar [5 ]
Lamichhane, Prakash [6 ]
Airee, Janak [2 ]
机构
[1] Agr & Forestry Univ, Fac Forestry, Hetauda 44107, Nepal
[2] Agr & Forestry Univ, Coll Nat Resource Management CNRM, Katari 56310, Nepal
[3] Tribhuvan Univ, Inst Forestry, Pokhara Campus, Pokhara 33700, Nepal
[4] Res & Dev Ctr RDC, Kathmandu 44600, Nepal
[5] Forest Res & Training Ctr, Kathmandu 44600, Nepal
[6] Minist Forest & Environm, Kathmandu 44600, Nepal
来源
ADVANCES IN BAMBOO SCIENCE | 2024年 / 9卷
关键词
MaxEnt model; Bamboo species; Habitat suitability mapping; Species distribution modelling; Nepal; PRESENCE-ONLY DATA; POTENTIAL DISTRIBUTION; SPECIES DISTRIBUTION; PREDICTION; IMPACTS; RANGE; DISTRIBUTIONS; SENSITIVITY; SURFACES; SOIL;
D O I
10.1016/j.bamboo.2024.100112
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Bambusa teres Buch.-Ham. ex Munro (syn. Bambusa nutans subsp. capulata Stapleton) is a fast-growing perennial bamboo that has ecological, economic, cultural and climate change mitigation benefits. However, information on its current and future potential distribution outside forest areas across Nepal and the key factors affecting its growth and distribution are little known. We used a total of 298 occurrence points obtained from the National Bamboo Resource Assessment and 23 environmental variables to project the distribution of B. teres throughout its potential range in Nepal. Maximum entropy model (MaxEnt) was utilized for this study. We assessed the performance of the model using a receiver operating characteristic curve and evaluated the relative importance of predictor variables through a Jackknife procedure. The model achieved a high level of performance with an area under the curve value of 0.928. Precipitation of the coldest quarter (bio_19), temperature seasonality (bio_4) and precipitation seasonality (bio_15) were the significant contributing variables for the distribution of B. teres. The most suitable habitat for B. teres, with a suitability index >0.6, covered 9264.6 km2, with large sections in Eastern and Central Nepal. However, under future climate change scenarios, the area of suitable habitat for the species is projected to increase across Nepal. This study serves as a baseline for assessing potential climate change impacts on B. teres and will enable the development of adaptive measures to protect and establish various bamboo populations outside forest areas in Nepal and globally.
引用
收藏
页数:16
相关论文
共 101 条
[61]  
Lin W., 2019, Plant Quarantine, V33, P69, DOI DOI 10.19662/J.CNKI.ISSN1005-2755.2019.04.017
[62]  
Lobovikov M., 2007, World Bamboo Resources: A Thematic Study Prepared in the Framework of the Global Forest Resources Assessment 2005
[63]  
[马少杰 Ma Shaojie], 2012, [生态学报, Acta Ecologica Sinica], V32, P2603
[64]  
Malik S., 2017, Int. J. Bot. Res, V2017, P1
[65]   Modelling the potential distribution of endangered Prunus africana (Hook.f.) Kalkm. in East Africa [J].
Mbatudde, Maria ;
Mwanjololo, Majaliwa ;
Kakudidi, Esezah Kyomugisha ;
Dalitz, Helmut .
AFRICAN JOURNAL OF ECOLOGY, 2012, 50 (04) :393-403
[66]  
McClure F.A., 1966, BAMBOOS FRESH PERSPE
[67]   MaxEnt-Based Potential Distribution Mapping and Range Shift under Future Climatic Scenarios for an Alpine Bamboo Thamnocalamus spathiflorus in Northwestern Himalayas [J].
Meena, Rajendra K. ;
Bhandari, Maneesh S. ;
Thakur, Pawan Kumar ;
Negi, Nitika ;
Pandey, Shailesh ;
Kant, Rama ;
Sharma, Rajesh ;
Sahu, Netrananda ;
Avtar, Ram .
LAND, 2024, 13 (07)
[68]   A practical guide to MaxEnt for modeling species' distributions: what it does, and why inputs and settings matter [J].
Merow, Cory ;
Smith, Matthew J. ;
Silander, John A., Jr. .
ECOGRAPHY, 2013, 36 (10) :1058-1069
[69]   Reliability of regional and global climate models to simulate precipitation extremes over India [J].
Mishra, Vimal ;
Kumar, Devashish ;
Ganguly, Auroop R. ;
Sanjay, J. ;
Mujumdar, Milind ;
Krishnan, R. ;
Shah, Reepal D. .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2014, 119 (15) :9301-9323
[70]   Spatial modelling the effects of climate change on the distribution of Lantana camara in Southern Zimbabwe [J].
Ncube, Beauty ;
Shekede, Munyaradzi Davis ;
Gwitira, Isaiah ;
Dube, Timothy .
APPLIED GEOGRAPHY, 2020, 117