Maxent modeling for predicting the potential geographical distribution of two peony species under climate change

栖息地 航程(航空) 代表性浓度途径 气候变化 物种分布 分布(数学) 生态学 环境科学 全球变暖 温室气体 降水 生物 地理 气候模式 气象学 数学分析 材料科学 复合材料 数学
作者
Keliang Zhang,Linjun Yao,Jiasong Meng,Jun Tao
出处
期刊:Science of The Total Environment [Elsevier]
卷期号:634: 1326-1334 被引量:351
标识
DOI:10.1016/j.scitotenv.2018.04.112
摘要

Paeonia (Paeoniaceae), an economically important plant genus, includes many popular ornamentals and medicinal plant species used in traditional Chinese medicine. Little is known about the properties of the habitat distribution and the important eco-environmental factors shaping the suitability. Based on high-resolution environmental data for current and future climate scenarios, we modeled the present and future suitable habitat for P. delavayi and P. rockii by Maxent, evaluated the importance of environmental factors in shaping their distribution, and identified distribution shifts under climate change scenarios. The results showed that the moderate and high suitable areas for P. delavayi and P. rockii encompassed ca. 4.46 × 105 km2 and 1.89 × 105 km2, respectively. Temperature seasonality and isothermality were identified as the most critical factors shaping P. delavayi distribution, and UVB-4 and annual precipitation were identified as the most critical for shaping P. rockii distribution. Under the scenario with a low concentration of greenhouse gas emissions (RCP2.6), the range of both species increased as global warming intensified; however, under the scenario with higher concentrations of emissions (RCP8.5), the suitable habitat range of P. delavayi decreased while P. rockii increased. Overall, our prediction showed that a shift in distribution of suitable habitat to higher elevations would gradually become more significant. The information gained from this study should provide a useful reference for implementing long-term conservation and management strategies for these species.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
xjz240221完成签到 ,获得积分10
1秒前
1秒前
Tigher完成签到,获得积分10
1秒前
paopao发布了新的文献求助10
2秒前
Nathan完成签到,获得积分0
2秒前
3秒前
sl发布了新的文献求助10
3秒前
Frank应助走四方采纳,获得10
3秒前
3秒前
qqq发布了新的文献求助10
4秒前
simone发布了新的文献求助10
4秒前
徐霜完成签到 ,获得积分10
5秒前
lucky完成签到 ,获得积分10
9秒前
ziyue应助活泼的寒云采纳,获得10
11秒前
科研通AI2S应助活泼的寒云采纳,获得10
11秒前
上官若男应助活泼的寒云采纳,获得10
11秒前
mmz完成签到,获得积分10
11秒前
shanage应助haoxin采纳,获得10
12秒前
Owen应助没树的叶子采纳,获得10
13秒前
14秒前
圆彰七大完成签到,获得积分10
14秒前
慕青应助molo采纳,获得10
14秒前
17秒前
18秒前
sl完成签到,获得积分20
18秒前
小菜完成签到 ,获得积分10
19秒前
天天快乐应助珊珊采纳,获得10
19秒前
研友_8DAv0L发布了新的文献求助10
20秒前
小卅完成签到,获得积分10
21秒前
Frank应助走四方采纳,获得10
22秒前
难过的高跟鞋完成签到 ,获得积分10
22秒前
MO完成签到,获得积分10
22秒前
xiaohu完成签到,获得积分10
23秒前
fifteen应助李理采纳,获得10
24秒前
25秒前
小卅发布了新的文献求助10
25秒前
小蘑菇应助研友_8DAv0L采纳,获得10
27秒前
mingyue应助加菲丰丰采纳,获得10
27秒前
cwq完成签到 ,获得积分10
28秒前
宜醉宜游宜睡应助MO采纳,获得10
28秒前
高分求助中
Smart but Scattered: The Revolutionary Executive Skills Approach to Helping Kids Reach Their Potential (第二版) 1000
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 700
The Heath Anthology of American Literature: Early Nineteenth Century 1800 - 1865 Vol. B 500
A new species of Velataspis (Hemiptera Coccoidea Diaspididae) from tea in Assam 500
Machine Learning for Polymer Informatics 500
《关于整治突出dupin问题的实施意见》(厅字〔2019〕52号) 500
2024 Medicinal Chemistry Reviews 480
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3221007
求助须知:如何正确求助?哪些是违规求助? 2869720
关于积分的说明 8167163
捐赠科研通 2536502
什么是DOI,文献DOI怎么找? 1368903
科研通“疑难数据库(出版商)”最低求助积分说明 645285
邀请新用户注册赠送积分活动 618965