清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Predicted contraction in the distribution of Lauraceae caused by climate change: a Sumatran case study

樟科 气候变化 生态学 栖息地 物种分布 地理 分布(数学) 栖息地破坏 航程(航空) 环境生态位模型 自然地理学 消光(光学矿物学) 气候变化情景 全球变暖 生物 生物多样性 农林复合经营 全球变暖的影响
作者
Wulan Muktiana Kusuma,Ana Widiana,Inggit Puji Astuti,Izu Andry Fijridiyanto,Fitriany Amalia Wardhani,Vandra Kurniawan,Angga Yudaputra,Wulan Muktiana Kusuma,Ana Widiana,Inggit Puji Astuti,Izu Andry Fijridiyanto,Fitriany Amalia Wardhani,Vandra Kurniawan,Angga Yudaputra
出处
期刊:Pacific Conservation Biology [CSIRO Publishing]
卷期号:31 (6)
标识
DOI:10.1071/pc25012
摘要

Context Trees in the family Lauraceae have high commercial value due to their aromatic properties and oil. Despite this, many species within the family are understudied. The Lauraceae is globally distributed, with Indonesia having high species richness, especially in Sumatra. However, specific Lauraceae hotspots have yet to be identified. Habitat destruction resulting in tree loss has become a serious threat to the survival of the Lauraceae. Furthermore, climate change is expected to negatively impact suitable habitat that currently sustains these populations, yet the underlying ecological processes are poorly understood. Aims We aimed to identify current Lauraceae hotspots and model the impact of climate change on the Lauraceae distribution in Sumatra using a MaxEnt algorithm-based approach. Methods A Getis ord Gi* analysis was used to identify which areas in West Sumatra were current hotspots of Lauraceae. A modelling approach was used to predict the future distribution of this family under both best-and worst-case scenarios (SSP 1.2-6 and SSP 5.8-5). Key results Current Lauracaea distribution hotspots were identified in West Sumatra and the family’s range was expected to contract under both predicted climate change scenarios. Conclusions While distribution loss under the best-case scenario was less than under the worst-case scenario, the predicted contraction in the family’s distribution is a concern for its future persistence in the wild. Implications This study indicates where conservation strategies may be best applied to protect the Lauraceae from extinction in Sumatra.

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
2秒前
朱光辉完成签到,获得积分10
6秒前
22完成签到 ,获得积分10
6秒前
Moona发布了新的文献求助10
7秒前
Adc应助科研通管家采纳,获得10
13秒前
科研通AI6应助科研通管家采纳,获得10
13秒前
15秒前
21秒前
ysss0831完成签到,获得积分10
22秒前
ysss0831发布了新的文献求助10
27秒前
32秒前
www发布了新的文献求助10
35秒前
嘻嘻完成签到,获得积分10
50秒前
坚定盈完成签到,获得积分20
1分钟前
坚定盈发布了新的文献求助10
1分钟前
1分钟前
2分钟前
滕祥应助科研通管家采纳,获得30
2分钟前
在水一方应助科研通管家采纳,获得10
2分钟前
Adc应助科研通管家采纳,获得10
2分钟前
Adc应助科研通管家采纳,获得10
2分钟前
2分钟前
科研通AI6应助科研通管家采纳,获得10
2分钟前
刘丰完成签到 ,获得积分10
2分钟前
2分钟前
lilylwy完成签到 ,获得积分0
2分钟前
小西完成签到 ,获得积分0
2分钟前
bji完成签到,获得积分10
2分钟前
3分钟前
3分钟前
x夏天完成签到 ,获得积分10
3分钟前
3分钟前
3分钟前
KINGAZX完成签到 ,获得积分10
4分钟前
4分钟前
4分钟前
科研通AI6应助科研通管家采纳,获得10
4分钟前
滕祥应助科研通管家采纳,获得30
4分钟前
4分钟前
Haixia完成签到,获得积分20
4分钟前
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
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5715212
求助须知:如何正确求助?哪些是违规求助? 5231886
关于积分的说明 15274181
捐赠科研通 4866216
什么是DOI,文献DOI怎么找? 2612774
邀请新用户注册赠送积分活动 1562944
关于科研通互助平台的介绍 1520334