Rana Santosh Kumar, Rana Hum Kala, Shrestha Krishna Kumar, Sujakhu Suresh, Ranjitkar Sailesh
Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Kunming 650201, China.
University of Chinese Academy of Sciences, Beijing 100049, China.
Plant Divers. 2017 Dec 8;40(1):1-18. doi: 10.1016/j.pld.2017.11.002. eCollection 2018 Feb.
Himalayan alder species are proven to be very useful in traditional as well as contemporary agroforestry practice. These nitrogen-fixing trees are also useful in the land restoration. Therefore, understanding the distribution of Himalayan alder and the potential zone for plantation is meaningful in the agroforestry sector. Suitable climatic zones of spp. were modelled in MaxEnt software using a subset of least correlated bioclimatic variables for current conditions (1950-2000), topographic variables (DEM derived) and Landuse Landcover (LULC) data. We generated several models and selected the best model against random models using ANOVA and t-test. The environmental variables that best explained the current distribution of the species were identified and used to project into the future. For future projections, ensemble scenarios of climate change projection derived from the results of 19 Earth System Models (ESM) were used. Our model revealed that the most favorable conditions for are in central Nepal in the moist north-west facing slope, whereas for they are in western Nepal. The major climatic factor that contributes to species distribution in Nepal appears to be precipitation during the warmest quarter for and precipitation during the driest quarter for . Future projections revealed changes in the probability distribution of these species, as well as where they need conservation and where they can be planted. Also, our model predicts that the distribution of spp. in hilly regions will remain unchanged, and therefore may represent sites that can be used to revitalize traditional agroforestry systems and extract source material for land restoration.
喜马拉雅桤木树种在传统以及当代农林业实践中已被证明非常有用。这些固氮树木在土地恢复方面也很有用。因此,了解喜马拉雅桤木的分布以及种植的潜在区域在农林业领域具有重要意义。利用当前状况(1950 - 2000年)的一组相关性最小的生物气候变量子集、地形变量(源自数字高程模型)和土地利用土地覆盖(LULC)数据,在MaxEnt软件中对桤木属物种的适宜气候区进行了建模。我们生成了多个模型,并使用方差分析和t检验,针对随机模型选择了最佳模型。确定了最能解释该物种当前分布的环境变量,并将其用于未来预测。对于未来预测,使用了从19个地球系统模型(ESM)的结果得出的气候变化预测集合情景。我们的模型显示,桤木属物种最适宜的条件在尼泊尔中部湿润的西北坡,而另一种桤木则在尼泊尔西部。对尼泊尔桤木属物种分布起主要作用的气候因素,对于一种桤木而言似乎是最暖季的降水量,对于另一种桤木而言是最干季的降水量。未来预测揭示了这些物种概率分布的变化,以及它们需要保护的地点和可以种植的地点。此外,我们的模型预测,桤木属物种在丘陵地区的分布将保持不变,因此可能代表可用于振兴传统农林业系统和获取土地恢复源材料的地点。