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Climate Change Impacts on Protea Species:PDEAR Model Predictions

机译:气候变化对Protea种类的影响: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:今天的主要问题之一是全球变暖和气候变化影响,以及它们如何改变植物物种的分布和行为。例如,南非佛罗里达州植物区的蛋白质物种对气候变化非常敏感。本文首先争论和随机模糊误差结构,用于空间建模精度,然后我们专注于稀有蛋白酶的人口类别,其估计人口大小为每种样本场地1到10个,这很小。我们开发了一个双偏微分方程相关的回归(Pdear)模型,用于调查普遍存在物种的降雨和温度的影响。在普遍的平均生物多样性结构假设下,我们探讨了未来(平均)预测降雨和温度的未来普形曲线物种的空间变化模式。我们的调查表明,全球气候变化对濒危蛋白质物种的分配模式的影响是显着的不能。

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