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首页> 外文期刊>Ecological research >Predicting the distribution of rubber trees (Hevea brasiliensis) through ecological niche modelling with climate, soil, topography and socioeconomic factors
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Predicting the distribution of rubber trees (Hevea brasiliensis) through ecological niche modelling with climate, soil, topography and socioeconomic factors

机译:通过具有气候,土壤,地形和社会经济因素的生态位模型预测橡胶树(巴西橡胶树)的分布

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Identifying the factors that contribute to species distribution will help determine the impact of the changing climate on species' range contraction and expansion. Ecological niche modelling is used to analyze the present and potential future distribution of rubber trees (Hevea brasiliensis) in two biogeographically distinct regions of India i.e., the Western Ghats (WG) and Northeast (NE). The rubber tree is an economically important plantation species, and therefore factors other than climate may play a significant role in determining its occurrence. To assist in future planning, we used the maximum entropy model to predict plausible areas for the expansion of rubber tree plantations under a changing climate scenario. Inclusion of elevation, soil and socioeconomic factors into the model did not result in a significant increase in the model accuracy estimates over the bioclimatic model (AUC > 0.92), but their effect was pronounced in the predicted probability scoring of species occurrence. Among various factors, elevation, rooting condition, village population and agricultural labour availability contributed substantially to the model in the NE region, whereas for the WG region, climate was the most important contributing factor for rubber tree distribution. We found that more areas would be suitable for rubber tree plantation in the NE region, whereas further expansion would be limited in the WG region under the projected climate scenario for 2050.
机译:确定有助于物种分布的因素将有助于确定气候变化对物种范围收缩和扩展的影响。生态位模型用于分析印度两个高地和西北部的生物地理上不同地区的橡胶树(巴西橡胶树)的当前和未来的潜在分布。橡胶树是经济上重要的人工林树种,因此,除了气候以外的其他因素可能在决定其发生方面起着重要作用。为了协助将来的计划,我们使用了最大熵模型来预测气候变化情况下橡胶树人工林扩张的合理面积。在模型中包括海拔,土壤和社会经济因素并没有导致模型准确性估算值明显高于生物气候模型(AUC> 0.92),但是在预测物种发生概率的评分中它们的作用是明显的。在各种因素中,海拔,生根条件,村庄人口和农业劳动力的可利用性在东北地区对模型产生了重大影响,而对于白水地区,气候是橡胶树分布的最重要因素。我们发现,在东北地区,更多的地区将适合橡胶树种植,而在预计的2050年气候情景下,WG地区的进一步扩张将受到限制。

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