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分析在美国和中国,L. 针对气候变化的分布模式和动态生态位。

Analyzing the distribution patterns and dynamic niche of L. in the United States and China in response to climate change.

作者信息

Zhang Wenqian, Wang Xinshuai, Shen Shouyun, Zhao Yanghui, Hao Siwen, Jiang Jinghuan, Zhang Donglin

机构信息

College of Landscape Architecture, Central South University of Forestry and Technology, Changsha, Hunan, China.

Hunan Big Data Engineering Technology Research Center of Natural Protected Landscape Resources, Changsha, Hunan, China.

出版信息

Front Plant Sci. 2024 Oct 22;15:1440610. doi: 10.3389/fpls.2024.1440610. eCollection 2024.

Abstract

INTRODUCTION

Magnolia grandiflora L. (southern magnolia) is native to the southeastern coastal areas of the United States, from North Carolina to eastern Texas (USDA Cold Hardiness Zone 8). It is currently widely cultivated in Zones 5-10 in the U.S. and in southern Yangtze River regions in China. Limited studies have examined the effects of climate change and human activities on the geographical distribution and adaptability of M. grandiflora during its introduction to China.

METHODS

We selected 127 occurrence points in the U.S. and 87 occurrence points in China, along with 43 environmental variables, to predict suitable habitat areas for M. grandiflora using present climate data (1970-2000) and projected future climate data (2050-2070) based on a complete niche ensemble model (EM) using the Biomod2 package. We also predicted the niche change of M. grandiflora in both countries using the 'ecospat' package in R.

RESULTS

The ensemble models demonstrated high reliability, with an AUC of 0.993 and TSS of 0.932. Solar radiation in July, human impact index, and precipitation of the wettest month were identified as the most critical variables influencing M. grandiflora distribution. The species shows a similar trend of distribution expansion under climate change scenarios in both countries, with predicted expansions towards the northwest and northeast, and contractions in southern regions.

DISCUSSION

Our study emphasizes a practical framework for predicting suitable habitats and migration of Magnoliaceae species under climate change scenarios. These findings provide valuable insights. for species conservation, introduction, management strategies, and sustainable utilization of M. grandiflora.

摘要

引言

广玉兰原产于美国东南部沿海地区,从北卡罗来纳州到得克萨斯州东部(美国农业部耐寒区8)。目前在美国5 - 10区以及中国长江以南地区广泛种植。在广玉兰引入中国的过程中,关于气候变化和人类活动对其地理分布及适应性影响的研究较少。

方法

我们选取了美国的127个分布点和中国的87个分布点,以及43个环境变量,基于完整生态位集合模型(EM),使用Biomod2软件包,利用当前气候数据(1970 - 2000年)和预测的未来气候数据(2050 - 2070年),预测广玉兰的适宜栖息地范围。我们还使用R语言中的“ecospat”软件包预测了两国广玉兰的生态位变化。

结果

集合模型显示出高可靠性,AUC为0.993,TSS为0.932。7月太阳辐射、人类影响指数和最湿润月降水量被确定为影响广玉兰分布的最关键变量。在气候变化情景下,该物种在两国的分布扩张趋势相似,预计向西北和东北方向扩张,南部地区收缩。

讨论

我们的研究强调了一个在气候变化情景下预测木兰科物种适宜栖息地和迁移的实用框架。这些发现为广玉兰的物种保护、引种、管理策略及可持续利用提供了有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c090/11534871/e67eff8721ab/fpls-15-1440610-g001.jpg

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