Reconstructing the Invasive History and Potential Distribution Prediction of Amaranthus palmeri in China

栖息地 北京 中国 入侵物种 分布(数学) 气候变化 地理 杂草 生态学 环境科学 生物 数学 数学分析 考古
作者
Xinyu Jiao,Mei Long,Jiayi Li,Qingyu Yang,Zhixiong Liu
出处
期刊:Agronomy [Multidisciplinary Digital Publishing Institute]
卷期号:13 (10): 2498-2498 被引量:5
标识
DOI:10.3390/agronomy13102498
摘要

Palmer Amaranth (Amaranthus palmeri, Amaranthaceae) is one of the most competitive, troublesome, and noxious weeds causing significant yield reductions in various crops. A. palmeri was also a herbicide-resistant weed causing a serious eco-environmental problem. Given that the process of invasion is dynamic, the A. plamer invasion may already be quite severe where invasive species management and surveys are chronically lacking. Predicting the potential habitat of A. palmeri can help to develop effective measures for early warning and long-term detection. However, the invasive history and distribution patterns of A. palmeri in China remain largely unknown. Here, the invasive history and distribution patterns of A. palmeri from 1985 to 2022 in China were reconstructed, and then the potential geographical distribution of A. palmeri was predicted under current and future climate scenarios (SSP1-2.6, SSP2-4.5, SSP5-8.5) using the optimal MaxEnt model (V 3.4.4) and ArcGIS 10.8.2. The mean AUC values of A. palmeri were 0.967. Under the current climate conditions, the suitable habitat areas for A. palmeri reached 1,067,000 km2 in China and were mainly distributed in north and central China. Under the future scenarios, the highly suitable habitats were mainly distributed in Beijing, Tianjin, and Hebei. Under SSP2–4.5, the future suitable areas will reach the maximum and expand to 1,411,100 km2 in the 2060s. The centroid distribution would northwestward extend under future climate scenarios. The human footprint index, mean temperature of the warmest quarter (Bio_10), April wind speed (Wind_4), temperature seasonality (standard deviation × 100) (bio_4), topsoil gravel content (T_gravel), and precipitation of warmest quarter (Bio_18) were key environmental variables affecting distribution and growth of A. palmeri. Climate change would increase the risk of A. palmeri expanding to high latitudes. Our results will help in developing effective strategies for the early warning, prevention, control, and management of A. palmeri in China.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
木昜完成签到,获得积分10
1秒前
笑点低完成签到,获得积分10
2秒前
Stella发布了新的文献求助10
2秒前
GR完成签到,获得积分20
2秒前
3秒前
哪吒之魔童闹海完成签到,获得积分10
3秒前
3秒前
地表飞猪应助巫马沛春采纳,获得30
3秒前
郭优优发布了新的文献求助10
3秒前
乐乐应助景行行止采纳,获得10
4秒前
4秒前
4秒前
Lancent完成签到,获得积分10
4秒前
啦熊发布了新的文献求助10
5秒前
5秒前
今天喝咖啡吗完成签到,获得积分10
5秒前
GR发布了新的文献求助10
6秒前
小叮当完成签到,获得积分10
7秒前
Stella完成签到,获得积分10
7秒前
7秒前
养虎人完成签到,获得积分20
8秒前
留胡子的火完成签到,获得积分10
8秒前
杨一发布了新的文献求助10
8秒前
自觉的老九完成签到,获得积分20
8秒前
SYLH应助yciDo采纳,获得10
9秒前
Hollow发布了新的文献求助30
9秒前
咚咚糖发布了新的文献求助10
10秒前
10秒前
kassy发布了新的文献求助10
10秒前
Lmyznl完成签到 ,获得积分10
10秒前
Silence发布了新的文献求助10
10秒前
11秒前
大熊猫寄生虫完成签到,获得积分10
11秒前
善学以致用应助范啦啦啦采纳,获得10
11秒前
高先春发布了新的文献求助10
11秒前
木月子完成签到,获得积分10
12秒前
科研通AI2S应助zm采纳,获得10
12秒前
12秒前
李健的小迷弟应助MHX采纳,获得10
13秒前
小鹿完成签到,获得积分10
14秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Picture Books with Same-sex Parented Families: Unintentional Censorship 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 360
热门求助领域 (近24小时)
化学 材料科学 医学 生物 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 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3970843
求助须知:如何正确求助?哪些是违规求助? 3515550
关于积分的说明 11178897
捐赠科研通 3250660
什么是DOI,文献DOI怎么找? 1795393
邀请新用户注册赠送积分活动 875828
科研通“疑难数据库(出版商)”最低求助积分说明 805188