Separation of the bioclimatic spaces of Himalayan tree rhododendron species predicted by ensemble suitability models
Separation of the bioclimatic spaces of Himalayan tree rhododendron species predicted by ensemble suitability models
复制标题
DOI：
10.1016/j.gecco.2014.07.001
复制
发表时间：
2014-08-01
影响因子：
4
通讯作者：
Luedeling, Eike
中科院分区：
文献类型：
--
作者：
Ranjitkar, Sailesh;Kindt, Roeland;Luedeling, Eike
树杜鹃包括分布最广泛的喜马拉雅杜鹃属树种，属于乔木亚科。该亚种的两个成员的分布是使用当前条件（1950-2000）的生物气候数据建模的。相关性最小的生物气候变量的子集被用于生态位建模（ENM）。我们使用 BiodiversityR R 包中的 ENM 集成方法，根据 217 个点位置记录绘制了树杜鹃的适宜气候空间。树杜鹃的集合生物气候模型对生物气候变量具有很高的预测能力，这也区分了两个物种的气候空间。人们发现树杜鹃生长在各种气候条件下，其分布限制与等温性、温度范围、最湿季度的温度和一年中最热季度的降水量有关。预测最适合树杜鹃花的气候空间是中国云南西部，适宜性向西和东部递减。它在广泛的气候环境和高度解剖的栖息地中出现，说明了该物种的适应能力，这可能为它们被列为受威胁地区的保护规划开辟未来的选择。 (C) 2014 年作者。由 Elsevier B.V. 出版
The tree rhododendrons include the most widely distributed Himalayan Rhododendron species belonging to the subsection Arborea. Distributions of two members of this subspecies were modelled using bioclimatic data for current conditions (1950-2000). A subset of the least correlated bioclimatic variables was used for ecological niche modelling (ENM). We used an ENM ensemble method in the BiodiversityR R-package to map the suitable climatic space for tree rhododendrons based on 217 point location records. Ensemble bioclimatic models for tree rhododendrons had high predictive power with bioclimatic variables, which also separated the climatic spaces for the two species. Tree rhododendrons were found occurring in a wide range of climate and the distributional limits were associated with isothermality, temperature ranges, temperature of the wettest quarter, and precipitation of the warmest quarter of the year. The most suitable climatic space for tree rhododendrons was predicted to be in western Yunnan, China, with suitability declining towards the west and east. Its occurrence in a wide range of climatic settings with highly dissected habitats speaks to the adaptive capacity of the species, which might open up future options for their conservation planning in regions where they are listed as threatened. (C) 2014 The Authors. Published by Elsevier B.V.