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

Binay Kharel , Santosh Ayer , Samit Kafle , Sachin Timilsina , Kishor Prasad Bhatta , Jeetendra Gautam , Amul Kumar Acharya , Prakash Lamichhane , Janak Airee
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Abstract

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.
气候变化情景下尼泊尔林区外簕杜鹃当前和未来栖息地适宜性建模
Bambusa teres Buch.-Ham. ex Munro(同 Bambusa nutans subsp. capulata Stapleton)是一种生长迅速的多年生竹子,具有生态、经济、文化和减缓气候变化的效益。然而,人们对其目前和未来在尼泊尔林区以外的潜在分布情况以及影响其生长和分布的关键因素知之甚少。我们利用从国家竹资源评估中获得的 298 个出现点和 23 个环境变量来预测毛竹在尼泊尔整个潜在分布区的分布情况。本研究采用了最大熵模型(MaxEnt)。我们利用接收者操作特征曲线评估了该模型的性能,并通过积刀程序评估了预测变量的相对重要性。该模型的曲线下面积值为 0.928,达到了较高水平。最冷季度的降水量(bio_19)、温度季节性(bio_4)和降水季节性(bio_15)是影响赤潮蝙蝠分布的重要变量。最适合 B. teres 的栖息地面积为 9264.6 平方公里,适宜指数为 0.6,其中大部分位于尼泊尔东部和中部。然而,在未来气候变化的情况下,预计整个尼泊尔适合该物种的栖息地面积将会增加。这项研究为评估气候变化对竹子的潜在影响提供了基线,将有助于制定适应性措施,保护和建立尼泊尔及全球林区外的各种竹子种群。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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