• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

气候变化下中华剑角蝗(直翅目:剑角蝗科)的分布格局及潜在适宜生境预测——以中国和东南亚为例。

Distribution patterns and potential suitable habitat prediction of Ceracris kiangsu (Orthoptera: Arcypteridae) under climate change- a case study of China and Southeast Asia.

机构信息

College of Forestry, Southwest Forestry University, Kunming, 650224, China.

Jiangcheng County Forestry and Grassland Bureau, Pu'er, 665900, China.

出版信息

Sci Rep. 2024 Sep 4;14(1):20580. doi: 10.1038/s41598-024-69897-0.

DOI:10.1038/s41598-024-69897-0
PMID:39232079
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11375149/
Abstract

Ceracris kiangsu (Orthoptera: Arcypteridae), is greatly affected by climatic factors and exhibits strong adaptability, posing a serious threat to the ecological environment. Therefore, predicting its potential suitable habitat distribution provides a proactive theoretical basis for pest control. This study using the Biomod2 package of R simulated and predicted the current and future potential distribution, area changes, changes in the center points of suitable habitats, and niche shifts of C. kiangsu under two different greenhouse gas emission scenarios, SSP1-26 and SSP5-85. The results show that: (1) Currently, the high suitability areas for C. kiangsu are mainly distributed in Yunnan, Jiangxi, Hunan provinces in southern China and phongsaly province in northern Laos. In the future, the center of the suitable habitat distribution pattern of C. kiangsu will remain unchanged, primarily expanding outward from medium and high suitability areas. Additionally, significant suitable habitats for C. kiangsu were discovered in Southeast Asian countries without previous pest records. (2) Compared to the present, the overall suitable habitat area for C. kiangsu is expected to expand, particularly under the SSP5-85 climate change scenario. (3) In the SSP1-26 and SSP5-85 climate scenarios, the geometric center of the suitable habitat generally shows a trend of gradually shifting northeast. (4) Under different climate scenarios, the suitable habitat of C. kiangsu has highly overlapping, indicating that the suitable habitat of C. kiangsu in the invaded areas is broader than in its native regions. In conclusion, the research findings represent a breakthrough in identifying the potential distribution areas of C. kiangsu, which is of great practical significance for the monitoring and control of C. kiangsu pest infestation in China and Southeast Asian countries.

摘要

直翅目(Orthoptera)稻蝗科(Arcypteridae)的中华稻蝗(Ceracris kiangsu)受气候因素影响较大,具有较强的适应性,对生态环境构成严重威胁。因此,预测其潜在适宜栖息地分布可为害虫防治提供积极的理论依据。本研究使用 R 中的 Biomod2 包模拟和预测了中华稻蝗目前和未来的潜在分布、面积变化、适宜栖息地中心点的变化以及在两种不同温室气体排放情景(SSP1-26 和 SSP5-85)下的生态位转移。结果表明:(1)目前,中华稻蝗高适宜区主要分布在中国南部的云南、江西、湖南和北部老挝的丰沙里省。未来,中华稻蝗适宜栖息地分布模式的中心将保持不变,主要从中高适宜区向外扩展。此外,还在以前没有害虫记录的东南亚国家发现了中华稻蝗的重要适宜栖息地。(2)与现在相比,中华稻蝗的整体适宜栖息地面积预计将扩大,特别是在 SSP5-85 气候变化情景下。(3)在 SSP1-26 和 SSP5-85 气候情景下,适宜栖息地的几何中心通常呈逐渐向东北方向移动的趋势。(4)在不同气候情景下,中华稻蝗的适宜栖息地高度重叠,表明中华稻蝗在入侵地区的适宜栖息地比在其原生地区更广泛。总之,该研究结果代表了识别中华稻蝗潜在分布区的突破,对中国和东南亚国家监测和控制中华稻蝗虫害具有重要的现实意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abc7/11375149/45eea20278e4/41598_2024_69897_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abc7/11375149/b88a01d734e8/41598_2024_69897_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abc7/11375149/b74fe404c513/41598_2024_69897_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abc7/11375149/9a72ff073d06/41598_2024_69897_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abc7/11375149/29bed9c6b78f/41598_2024_69897_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abc7/11375149/fd77eb3c1aa1/41598_2024_69897_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abc7/11375149/4b8b9bd38a6f/41598_2024_69897_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abc7/11375149/45eea20278e4/41598_2024_69897_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abc7/11375149/b88a01d734e8/41598_2024_69897_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abc7/11375149/b74fe404c513/41598_2024_69897_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abc7/11375149/9a72ff073d06/41598_2024_69897_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abc7/11375149/29bed9c6b78f/41598_2024_69897_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abc7/11375149/fd77eb3c1aa1/41598_2024_69897_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abc7/11375149/4b8b9bd38a6f/41598_2024_69897_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abc7/11375149/45eea20278e4/41598_2024_69897_Fig7_HTML.jpg

相似文献

1
Distribution patterns and potential suitable habitat prediction of Ceracris kiangsu (Orthoptera: Arcypteridae) under climate change- a case study of China and Southeast Asia.气候变化下中华剑角蝗(直翅目:剑角蝗科)的分布格局及潜在适宜生境预测——以中国和东南亚为例。
Sci Rep. 2024 Sep 4;14(1):20580. doi: 10.1038/s41598-024-69897-0.
2
Potential distribution prediction of Ceracris kiangsu Tsai in China.黄脊竹蝗在中国的潜在分布预测。
Sci Rep. 2024 Jun 11;14(1):13375. doi: 10.1038/s41598-024-64108-2.
3
Future habitat changes of Enderlein along the Yangtze River Basin using the optimal MaxEnt model.利用最优最大熵模型预测长江流域恩德尔线虫未来栖息地的变化。
PeerJ. 2023 Nov 21;11:e16459. doi: 10.7717/peerj.16459. eCollection 2023.
4
Accessing habitat suitability and connectivity for the westernmost population of Asian black bear (Ursus thibetanus gedrosianus, Blanford, 1877) based on climate changes scenarios in Iran.基于伊朗气候变化情景的亚洲黑熊(Ursus thibetanus gedrosianus,Blanford,1877)最西部种群的生境适宜性和连通性评估。
PLoS One. 2020 Nov 18;15(11):e0242432. doi: 10.1371/journal.pone.0242432. eCollection 2020.
5
[Applying Biomod2 for modeling of species suitable habitats:a case study of Paeonia lactiflora in China].[应用Biomod2对物种适宜栖息地进行建模:以中国芍药为例]
Zhongguo Zhong Yao Za Zhi. 2022 Jan;47(2):376-384. doi: 10.19540/j.cnki.cjcmm.20211023.101.
6
Ecological niche shift and suitable area expansion of a globally invasive species .生态位转移与全球性入侵物种适宜生境扩张。
Ying Yong Sheng Tai Xue Bao. 2024 Mar 18;35(3):797-805. doi: 10.13287/j.1001-9332.202403.013.
7
Analysis of the Distribution Pattern of in China under Climate Change Based on the Biomod2 Model.基于Biomod2模型的气候变化下中国[具体内容缺失]分布格局分析
Biology (Basel). 2024 Jul 17;13(7):538. doi: 10.3390/biology13070538.
8
Potential distribution prediction of in China based on the Biomod2.基于 Biomod2 的中国 潜在分布预测。
Ying Yong Sheng Tai Xue Bao. 2024 Aug;35(8):2237-2246. doi: 10.13287/j.1001-9332.202408.024.
9
Simulation of climate change effect on the global distribution of .模拟气候变化对. 的全球分布的影响。
Ying Yong Sheng Tai Xue Bao. 2024 Jul 18;35(7):1897-1906. doi: 10.13287/j.1001-9332.202407.022.
10
[Potential geographical distribution of in China under climate change].气候变化下[在中国的潜在地理分布]
Ying Yong Sheng Tai Xue Bao. 2021 Dec;32(12):4307-4314. doi: 10.13287/j.1001-9332.202112.003.

引用本文的文献

1
Extinction Risk Assessment and Conservation of the Under Climate Change.气候变化下的灭绝风险评估与保护
Ecol Evol. 2025 Aug 8;15(8):e71926. doi: 10.1002/ece3.71926. eCollection 2025 Aug.
2
The Past, Present, and Future Distribution of : Perspectives From Fossil Record and Species Distribution Models.《过去、现在和未来的分布:来自化石记录和物种分布模型的视角》
Ecol Evol. 2025 Jul 20;15(7):e71831. doi: 10.1002/ece3.71831. eCollection 2025 Jul.
3
Phylogenetics and Evolutionary Dynamics of Yunnan Acrididae Grasshoppers Inferred from 17 New Mitochondrial Genomes.

本文引用的文献

1
Prediction of potential distribution areas and priority protected areas of based on Maxent model and Marxan model.基于最大熵模型和马克思an模型预测[具体物种或事物]的潜在分布区域和优先保护区。 (注:原文中“based on Maxent model and Marxan model.”前缺少具体所指对象,翻译时补充了[具体物种或事物]使句子完整通顺)
Front Plant Sci. 2023 Jul 24;14:1200796. doi: 10.3389/fpls.2023.1200796. eCollection 2023.
2
Different facets of the same niche: Integrating citizen science and scientific survey data to predict biological invasion risk under multiple global change drivers.不同视角下的同一生态位:整合公民科学和科学调查数据,以预测多种全球变化驱动因素下的生物入侵风险。
Glob Chang Biol. 2023 Oct;29(19):5509-5523. doi: 10.1111/gcb.16901. Epub 2023 Aug 7.
3
基于17个新的线粒体基因组推断云南蝗科蝗虫的系统发育和进化动态
Insects. 2025 Feb 3;16(2):151. doi: 10.3390/insects16020151.
Species distribution modelling of (Falc.) A. DC.: Present distribution and impacts of potential climate change.
(法尔科)A. 德康多尔的物种分布建模:当前分布及潜在气候变化的影响
Heliyon. 2023 Feb 3;9(2):e13417. doi: 10.1016/j.heliyon.2023.e13417. eCollection 2023 Feb.
4
Predicting the potential suitable distribution area of Emeia pseudosauteri in Zhejiang Province based on the MaxEnt model.基于最大熵模型预测浙江省拟小灵猫潜在适宜分布区。
Sci Rep. 2023 Jan 31;13(1):1806. doi: 10.1038/s41598-023-29009-w.
5
Climate change has increased the global threats posed by three ragweeds (Ambrosia L.) in the Anthropocene.气候变化增加了人类世三种豚草(Ambrosia L.)对全球造成的威胁。
Sci Total Environ. 2023 Feb 10;859(Pt 2):160252. doi: 10.1016/j.scitotenv.2022.160252. Epub 2022 Nov 22.
6
[Applying Biomod2 for modeling of species suitable habitats:a case study of Paeonia lactiflora in China].[应用Biomod2对物种适宜栖息地进行建模:以中国芍药为例]
Zhongguo Zhong Yao Za Zhi. 2022 Jan;47(2):376-384. doi: 10.19540/j.cnki.cjcmm.20211023.101.
7
Predicting species distribution: offering more than simple habitat models.预测物种分布:提供的不仅仅是简单的栖息地模型。
Ecol Lett. 2005 Sep;8(9):993-1009. doi: 10.1111/j.1461-0248.2005.00792.x. Epub 2005 Jun 23.
8
A checklist for maximizing reproducibility of ecological niche models.最大化生态位模型可重复性的清单。
Nat Ecol Evol. 2019 Oct;3(10):1382-1395. doi: 10.1038/s41559-019-0972-5. Epub 2019 Sep 23.
9
Evaluating collinearity effects on species distribution models: An approach based on virtual species simulation.评估物种分布模型中的共线性效应:一种基于虚拟物种模拟的方法。
PLoS One. 2018 Sep 11;13(9):e0202403. doi: 10.1371/journal.pone.0202403. eCollection 2018.
10
[Evaluating the performance of species distribution models Biomod2 and MaxEnt using the giant panda distribution data].利用大熊猫分布数据评估物种分布模型Biomod2和MaxEnt的性能
Ying Yong Sheng Tai Xue Bao. 2017 Dec;28(12):4001-4006. doi: 10.13287/j.1001-9332.201712.011.