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Climate Change Impacts on Protea Species:PDEAR Model Predictions

机译:气候变化对普罗梯亚树种的影响:PDEAR模型预测

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One of the major concerns today is global warming and climate change impacts,and how they are changing the distribution and behaviour of the plant species.For example,Proteas species in the Cape Floristic Region,South Africa,are very sensitive to climate change.In this paper,we first arguing and the random fuzzy error structure for spatial modelling accuracy and then we are focusing on the population category of rare Proteas that has an estimated population size from 1 to 10 per sample site,which is very small.We develop a bivariate partial differential equation associated regression (PDEAR) model for investigating the impacts from rainfall and temperature on the Protea species.Under same the average biodiversity structure assumptions,we explore the future spatial change patterns of Protea species with future (average) predicted rainfall and temperature.Our investigation shows that the global climate change impacts on distributional patterns of the endangered Protea species are significant.
机译:当今主要关注的问题之一是全球变暖和气候变化的影响,以及它们如何改变植物物种的分布和行为。例如,南非开普植物区的普罗梯亚种对气候变化非常敏感。本文首先讨论随机模糊误差结构的空间建模准确性,然后重点研究稀有普罗梯亚虫的种群类别,该种群估计每个样本站点的种群数量为1至10,这非常小。我们开发了一个双变量偏微分方程相关回归(PDEAR)模型用于研究降雨和温度对普罗梯亚物种的影响。在平均生物多样性结构假设不变的情况下,我们利用未来(平均)预测的降雨和温度探索普罗梯亚物种的未来空间变化模式。我们的调查表明,全球气候变化对濒临灭绝的普罗梯亚物种分布格局的影响是重大的。不能。

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