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预测在当前和未来气候变化情景下[具体事物]的潜在全球分布。 (原文中“under”后缺少具体内容)

Predicting the potential global distribution of under current and future climate change scenarios.

作者信息

Changjun Gu, Yanli Tu, Linshan Liu, Bo Wei, Yili Zhang, Haibin Yu, Xilong Wang, Zhuoga Yangjin, Binghua Zhang, Bohao Cui

机构信息

Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research CAS Beijing China.

University of Chinese Academy of Sciences Beijing China.

出版信息

Ecol Evol. 2021 Aug 8;11(17):12092-12113. doi: 10.1002/ece3.7974. eCollection 2021 Sep.

Abstract

AIM

Invasive alien species (IAS) threaten ecosystems and humans worldwide, and future climate change may accelerate the expansion of IAS. Predicting the suitable areas of IAS can prevent their further expansion. is an invasive weed over 30 countries in tropical and subtropical regions. However, the potential suitable areas of remain unclear along with its response to climate change. This study explored and mapped the current and future potential suitable areas of .

LOCATION

Global.

TAXA

Asteraceae R.M.King & H.Rob. Commonly known as Crofton weed.

METHODS

Based on occurrence data and climate data, we predicted its suitable areas of this weed under current and future (four RCPs in 2050 and 2070) by MaxEnt model. We used ArcGIS 10.4 to explore the potential suitable area distribution characteristics of this weed and the "ecospat" package in R to analyze its altitudinal distribution changes.

RESULTS

The area under the curve (AUC) value (>0.9) and true skill statistics (TSS) value (>0.8) indicated excelled model performance. Among environment factors, mean temperature of coldest quarter contributed most to the model. Globally, the suitable areas for . invasion decreased under climate change scenarios, although regional increases were observed, including in six biodiversity hotspot regions. The potential suitable areas of . under climate change would expand in regions with higher elevation (3,000-3,500 m).

MAIN CONCLUSIONS

Mean temperature of coldest quarter was the most important variable influencing the potential suitable area of . Under the background of a warming climate, the potential suitable area of . will shrink globally but increase in six biodiversity hotspot regions. The potential suitable area of .  would expand at higher elevation (3,000-3,500 m) under climate change. Mountain ecosystems are of special concern as they are rich in biodiversity and sensitive to climate change, and increasing human activities provide more opportunities for IAS invasion.

摘要

目标

外来入侵物种威胁着全球的生态系统和人类,未来的气候变化可能会加速外来入侵物种的扩张。预测外来入侵物种的适宜区域可以防止其进一步扩张。[物种名称]是一种在热带和亚热带地区30多个国家的入侵性杂草。然而,其潜在适宜区域以及对气候变化的响应仍不明确。本研究探索并绘制了[物种名称]当前和未来的潜在适宜区域。

地点

全球。

分类群

菊科[物种学名],俗称飞机草。

方法

基于[物种名称]的分布数据和气候数据,我们通过最大熵模型(MaxEnt)预测了该杂草在当前和未来(2050年和2070年的四种代表性浓度路径)的适宜区域。我们使用ArcGIS 10.4探索该杂草潜在适宜区域的分布特征,并使用R语言中的“ecospat”软件包分析其海拔分布变化。

结果

曲线下面积(AUC)值(>0.9)和真实技能统计(TSS)值(>0.8)表明模型性能优异。在环境因素中,最冷月平均温度对模型的贡献最大。在全球范围内,气候变化情景下[物种名称]的入侵适宜区域减少,尽管在包括六个生物多样性热点地区在内的部分区域有所增加。气候变化下[物种名称]的潜在适宜区域将在海拔较高(3000 - 3500米)的地区扩大。

主要结论

最冷月平均温度是影响[物种名称]潜在适宜区域的最重要变量。在气候变暖的背景下,[物种名称]的潜在适宜区域在全球范围内将缩小,但在六个生物多样性热点地区将增加。气候变化下[物种名称]的潜在适宜区域将在较高海拔(3000 - 3500米)处扩大。山地生态系统值得特别关注,因为它们生物多样性丰富且对气候变化敏感,而人类活动的增加为外来入侵物种的入侵提供了更多机会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdbc/8427655/6c35186b6fc0/ECE3-11-12092-g006.jpg

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