Abstract

Climate warming has caused substantial changes in spatial and temporal environmental patterns. The study on hot spots of rare and endangered plants in northwest china under predicted climate change provides a scientific reference for the restoration and reconstruction of degraded habitats of rare and endangered plants and the construction and improvement of protection system in northwest China. Based on MaxEnt model, based on 813 effective distribution records and 11 environmental factor variables of rare and endangered plants in northwest china, this study identified the changes of hot spots of rare and endangered plants in northwest china under predicted climate change by using MaxEnt model and ArcGIS software. Comprehensive environmental factor variable contribution rate and knife-cutting method were used to examine and evaluate the important factors affecting the hot spots of rare and endangered plants in northwest china. The appropriate range of environmental factor variables was determined by response curve, and the hot spots and areas threatened by rare and endangered plants in northwest china were determined quantitatively. The results show that: (1) the prediction accuracy of MaxEnt model is high, the working curve area (AUC) of subjects is 0.876, and the total suitable area for potential geographical distribution of rare and endangered plants in northwest china is 137.96×104km2, which is mainly located in western and southwestern Xinjiang province, southern Gansu province, sporadic eastern and southern qinghai province, and southern Shaanxi province. (2) the main environmental factors affecting the hot spots of rare and endangered plants in northwest china are altitude, temperature factors (daily range of average temperature and lowest temperature of the coldest month) and precipitation factors (precipitation in the wettest season) (3) in the future four climate change scenarios, with the increase of emission scenarios from low forcing to high forcing, the loss of hot spots of rare and endangered plants in northwest china is the most obvious in Xinjiang province. The increase is most obvious in qinghai province and Gansu province.

Highlights

  • Climate change has an important impact on ecological phenomena such as regional distribution and phenology of species hot spots, resulting in changes of species distribution patterns on different temporal and spatial scales, accelerating the speed of species extinction or prosperity (Alan Pounds et al, 2006)

  • Based on MaxEnt algorithm, 813 effective distribution records and 11 environmental factor variables of rare and endangered plants in Northwest China, this study identified the changes of biodiversity hotspots of rare and endangered plants in Northwest China under predicted climate change

  • Under the climate change scenario in the future, with the emission scenario increasing from low forcing to high forcing, the most obvious loss of the hot spots of rare and endangered plants in Northwest China happens in Xinjiang Province, and that of the most obvious increase occurs in Qinghai and Gansu provinces

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Summary

Introduction

Climate change has an important impact on ecological phenomena such as regional distribution and phenology of species hot spots, resulting in changes of species distribution patterns on different temporal and spatial scales, accelerating the speed of species extinction or prosperity (Alan Pounds et al, 2006). Due to human being’s overuse of resources, climate change and other factors, species have being losing their suitable habitats, threatening biodiversity (Ke and Fan, 2016). Due to the uneven distribution of suitable habitats of species and the differences in the degree of the threats, the study on species hot spots has become a method to maximize the benefits of biodiversity conservation. The study on hot spots of rare and endangered plants in Northwest China under predicted climate change can provide a scientific reference for the restoration and reconstruction of those degraded habitats, as well as the improvement of the protection system in Northwest China

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