Predicting potential suitable habitats of Chinese fir under current and future climatic scenarios based on Maxent model

栖息地 环境科学 地理 气候变化 生态学 自然地理学 生物
作者
Yi Zhao,Xiangwen Deng,Wenhua Xiang,Liang Chen,Shuai Ouyang
出处
期刊:Ecological Informatics [Elsevier BV]
卷期号:64: 101393-101393 被引量:182
标识
DOI:10.1016/j.ecoinf.2021.101393
摘要

The continuous global climate change has affected the living habits, morphological characteristics and spatial distribution of tree species. Chinese fir (C. lanceolata (Lamb.) Hook) is one of the most important conifer tree species in China, which plays a major role in terms of timber supplies and environment protection. Predict the potential suitable habitats of Chinese fir under different climatic scenarios, can not only provide scientific theoretical basis for the planning and planting of Chinese fir, but also have great significance for maintaining the stability of the plantation ecosystem. Here, we used the maximum entropy (Maxent) model which optimized by the ENMeval package, to predicted the potential suitable habitats for Chinese fir under current climatic conditions and two climatic scenarios in 2070s. Our results showed that the complexity of the model was relative low, when the regularization multiplier (RM) was 0.5 and feature combination (FC) was linear (L) and quadratic (Q). Under this parameter setting, the high and moderate suitable habitat area of Chinese fir were 83.90 × 104 km2 and 97.62 × 104 km2, respectively, which suggested we can carry out Chinese fir planting activities with different cultivation purposes. The minimum temperature of the coldest month, annual precipitation, annual mean temperature and mean temperature of warmest quarter were identified as the essential factors shaping habitat suitability for Chinese fir. Under future climate scenarios, the high suitable habitat was reduced and the degree of fragmentation was increased, and the total potential suitable habitat of Chinese fir had the tendency to migrate to high-altitude regions. Managers should be cautious about the cultivation area selection of Chinese fir plantation as the potential suitable habitat changed under the global climate change continuously. It is therefore imperative to adjust the long-term management and protection strategy of Chinese fir plantation.
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
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
负责的调料汁完成签到,获得积分10
1秒前
小二郎的应助被李萌采纳,获得10
1秒前
科研通AI2S的应助被PSC采纳,获得10
1秒前
1秒前
mayihui完成签到 ,获得积分10
2秒前
2秒前
专一的砖头完成签到 ,获得积分10
2秒前
yy完成签到,获得积分20
2秒前
赘婿的应助被杨润知采纳,获得10
2秒前
张远最帅发布了新的文献求助10
3秒前
3秒前
4秒前
lin发布了新的文献求助10
4秒前
唔呀嘿关注了科研通微信公众号
4秒前
香蕉觅云的应助被长安某采纳,获得10
4秒前
SciGPT的应助被xiaocaicai采纳,获得10
5秒前
JamesPei的应助被Fn采纳,获得10
5秒前
5秒前
尤尤发布了新的文献求助10
5秒前
5秒前
p7发布了新的文献求助10
6秒前
6秒前
北望发布了新的文献求助10
6秒前
木鱼发布了新的文献求助10
6秒前
戈尔德尔完成签到,获得积分10
7秒前
大胆的灵雁完成签到,获得积分10
7秒前
7秒前
什么东西完成签到,获得积分10
7秒前
8秒前
8秒前
9秒前
友好的子轩完成签到,获得积分10
9秒前
9秒前
爆米花的应助被洁净书兰采纳,获得10
9秒前
9秒前
长欢至黄昏完成签到,获得积分10
10秒前
tt完成签到,获得积分20
10秒前
10秒前
111完成签到,获得积分10
10秒前
NexusExplorer的应助被terryok采纳,获得30
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Les Mantodea De Guyane 2000
Energie-Contracting 1500
Klimaschutzrecht durch den Energiesektor im Mehrebenensystem – Ein Rechtsvergleich 1000
EnEfG – Energieeffizienzgesetz – Kommentar 1000
The Flourishing Academic 600
Stochastic Models in Operations Research,Vol. 2 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8022090
求助须知:如何正确求助?哪些是违规求助? 9465199
关于积分的说明 21211570
捐赠科研通 7592182
什么是DOI,文献DOI怎么找? 3386726
关于科研通互助平台的介绍 2519113
邀请新用户注册赠送积分活动 2422346