• 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

从历史物种出现中检测范围转移:旧数据的新视角。

Detecting range shifts from historical species occurrences: new perspectives on old data.

机构信息

Department of Environmental Science, Policy & Management, 137 Mulford Hall No. 3114, University of California, Berkeley, CA 94720, USA.

出版信息

Trends Ecol Evol. 2009 Nov;24(11):625-33. doi: 10.1016/j.tree.2009.05.009. Epub 2009 Aug 14.

DOI:10.1016/j.tree.2009.05.009
PMID:19683829
Abstract

The difficulty of making valid comparisons between historical and contemporary data is an obstacle to documenting range change in relation to environmental modifications. Recent statistical advances use occupancy modeling to estimate simultaneously the probability of detection and the probability of occupancy, and enable unbiased comparisons between historical and modern data; however, they require repeated surveys at the same locations within a time period. We present two models for explicitly comparing occupancy between historical and modern eras, and discuss methods to measure range change. We suggest that keepers of historical data have crucial roles in curating and aiding accessibility to data, and we recommend that collectors of contemporary specimen data organize their sampling efforts to include repeated surveys to estimate detection probabilities.

摘要

在历史数据和当代数据之间进行有效比较的困难是记录与环境变化相关的范围变化的一个障碍。最近的统计进展使用占有模型来同时估计检测概率和占有概率,并使历史数据和现代数据之间能够进行无偏比较;但是,它们需要在一段时间内在同一地点进行重复调查。我们提出了两种用于明确比较历史和现代时期占有情况的模型,并讨论了衡量范围变化的方法。我们认为,历史数据的保存者在保存和帮助获取数据方面发挥着关键作用,我们建议当代标本数据的收集者组织他们的抽样工作,包括重复调查以估计检测概率。

相似文献

1
Detecting range shifts from historical species occurrences: new perspectives on old data.从历史物种出现中检测范围转移:旧数据的新视角。
Trends Ecol Evol. 2009 Nov;24(11):625-33. doi: 10.1016/j.tree.2009.05.009. Epub 2009 Aug 14.
2
Biogeography and decline of rare plants in New England: historical evidence and contemporary monitoring.新英格兰地区珍稀植物的生物地理学与衰退:历史证据与当代监测
Ecol Appl. 2006 Aug;16(4):1327-37. doi: 10.1890/1051-0761(2006)016[1327:badorp]2.0.co;2.
3
Historical ecology: using unconventional data sources to test for effects of global environmental change.历史生态学:利用非传统数据来源检验全球环境变化的影响。
Am J Bot. 2013 Jul;100(7):1294-305. doi: 10.3732/ajb.1200503. Epub 2013 Jun 26.
4
Efficient species-level monitoring at the landscape scale.在景观尺度上进行高效的物种水平监测。
Conserv Biol. 2012 Jun;26(3):432-41. doi: 10.1111/j.1523-1739.2012.01855.x.
5
Erosion of lizard diversity by climate change and altered thermal niches.蜥蜴多样性因气候变化和热生态位改变而受到侵蚀。
Science. 2010 May 14;328(5980):894-9. doi: 10.1126/science.1184695.
6
Climate and the range dynamics of species with imperfect detection.气候与检测不完美情况下物种的分布范围动态
Biol Lett. 2008 Oct 23;4(5):581-4. doi: 10.1098/rsbl.2008.0051.
7
Climate change, elevational range shifts, and bird extinctions.气候变化、海拔范围变化与鸟类灭绝
Conserv Biol. 2008 Feb;22(1):140-50. doi: 10.1111/j.1523-1739.2007.00852.x.
8
Occupancy is nine-tenths of the law: occupancy rates determine the homogenizing and differentiating effects of exotic species.占有九成为法律:占有比率决定外来物种的同质化和差异化效应。
Am Nat. 2011 Apr;177(4):535-43. doi: 10.1086/658990.
9
Challenges and opportunities in implementing managed relocation for conservation of freshwater species.实施管理性搬迁以保护淡水物种所面临的挑战与机遇。
Conserv Biol. 2011 Feb;25(1):40-7. doi: 10.1111/j.1523-1739.2010.01557.x.
10
Effects of detectability on estimates of geographic range size in Bignonieae.可检测性对紫葳科植物地理分布范围大小估计的影响。
Conserv Biol. 2008 Feb;22(1):200-11. doi: 10.1111/j.1523-1739.2007.00858.x.

引用本文的文献

1
Re-surveying breeding forest bird communities in Western Oregon after 50 years: comparing 1968-1970 and 2020-2021.50年后对俄勒冈州西部人工林鸟类群落的重新调查:1968 - 1970年与2020 - 2021年的比较
Biodivers Data J. 2025 Aug 15;13:e162862. doi: 10.3897/BDJ.13.e162862. eCollection 2025.
2
Shifting Heights? A 40-Year Resurvey of Alpine Marmot Distribution in Response to Climate Change.海拔高度在变化?对高山旱獭分布情况进行40年重新调查以应对气候变化
Ecol Evol. 2025 Jul 20;15(7):e71777. doi: 10.1002/ece3.71777. eCollection 2025 Jul.
3
Community science helps digitize 78 years of fish and habitat data for thousands of lakes in Michigan, USA.
社区科学助力将美国密歇根州数千个湖泊长达78年的鱼类和栖息地数据数字化。
Sci Data. 2025 Jun 19;12(1):1038. doi: 10.1038/s41597-025-05241-z.
4
Habitat fragmentation mediates the mechanisms underlying long-term climate-driven thermophilization in birds.栖息地破碎化介导了鸟类长期气候驱动的嗜温化背后的机制。
Elife. 2024 Dec 4;13:RP98056. doi: 10.7554/eLife.98056.
5
A specimen-based database of small-eared shrews (Mammalia, Eulipotyphla, ) in the Neotropical Region.新热带地区小耳鼩(哺乳纲,真盲缺目)的基于标本的数据库。
Biodivers Data J. 2024 Oct 22;12:e135180. doi: 10.3897/BDJ.12.e135180. eCollection 2024.
6
Assessing citizen science data quality for bird monitoring in the Iberian Peninsula.评估伊比利亚半岛鸟类监测公民科学数据质量。
Sci Rep. 2024 Sep 2;14(1):20307. doi: 10.1038/s41598-024-70827-3.
7
The potential of historical spy-satellite imagery to support research in ecology and conservation.历史间谍卫星图像在支持生态学与保护研究方面的潜力。
Bioscience. 2024 Feb 19;74(3):159-168. doi: 10.1093/biosci/biae002. eCollection 2024 Mar.
8
Taking advantage of opportunistically collected historical occurrence data to detect responses to climate change: The case of temperature and Iberian dung beetles.利用机会收集的历史发生数据来检测对气候变化的响应:以温度和伊比利亚蜣螂为例。
Ecol Evol. 2023 Dec 6;13(12):e10674. doi: 10.1002/ece3.10674. eCollection 2023 Dec.
9
Repurposing long-term ecological studies for climate change.将长期生态研究用于应对气候变化
Proc Natl Acad Sci U S A. 2023 Oct 10;120(41):e2314444120. doi: 10.1073/pnas.2314444120. Epub 2023 Sep 27.
10
Catchment-based sampling of river eDNA integrates terrestrial and aquatic biodiversity of alpine landscapes.基于集水区的河流宏基因组学采样综合了高山景观的陆地和水生生物多样性。
Oecologia. 2023 Aug;202(4):699-713. doi: 10.1007/s00442-023-05428-4. Epub 2023 Aug 9.