Bats as a Model for Enhancing IUCN Red List Assessments: Real-Time Data, Contributor Networks, and Specialized Training to Address Common Challenges

IF 7.7 1区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION
Danilo Russo, Luca Cistrone, David L. Waldien
{"title":"Bats as a Model for Enhancing IUCN Red List Assessments: Real-Time Data, Contributor Networks, and Specialized Training to Address Common Challenges","authors":"Danilo Russo,&nbsp;Luca Cistrone,&nbsp;David L. Waldien","doi":"10.1111/conl.13089","DOIUrl":null,"url":null,"abstract":"<p>The IUCN Red List of Threatened Species is a critical tool in global conservation, providing essential information on species' conservation status worldwide. However, the current assessment process faces several challenges, including data gaps, standard inconsistencies across taxonomic groups, and a limited assessor pool. Data gaps are common for many taxa, particularly those more difficult to observe or identify with wide, fragmented ranges. We use bats as a model to highlight challenges and propose solutions relevant to many taxonomic groups. Basic presence data and population estimates are often missing, with critical information unpublished or inaccessible for assessments. Assessors are responsible for reviewing all available information, seeking advice from local or taxon-specific experts, and compiling a comprehensive species status assessment. We propose a network of regional operators, researchers, and stakeholders who could regularly contribute updated data on populations, threats, and conservation actions, employing a dynamic real-time repository. This approach would enable assessors to access an up-to-date overview, improving the Red List assessments' efficiency, accuracy, and consistency. Expanding assessors and training early-career professionals would also standardize evaluation criteria and reduce subjectivity. By capitalizing on IUCN's training expertise, these changes aim to enhance the robustness of assessments, supporting more effective, evidence-based conservation.</p>","PeriodicalId":157,"journal":{"name":"Conservation Letters","volume":"18 1","pages":""},"PeriodicalIF":7.7000,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/conl.13089","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conservation Letters","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/conl.13089","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIODIVERSITY CONSERVATION","Score":null,"Total":0}
引用次数: 0

Abstract

The IUCN Red List of Threatened Species is a critical tool in global conservation, providing essential information on species' conservation status worldwide. However, the current assessment process faces several challenges, including data gaps, standard inconsistencies across taxonomic groups, and a limited assessor pool. Data gaps are common for many taxa, particularly those more difficult to observe or identify with wide, fragmented ranges. We use bats as a model to highlight challenges and propose solutions relevant to many taxonomic groups. Basic presence data and population estimates are often missing, with critical information unpublished or inaccessible for assessments. Assessors are responsible for reviewing all available information, seeking advice from local or taxon-specific experts, and compiling a comprehensive species status assessment. We propose a network of regional operators, researchers, and stakeholders who could regularly contribute updated data on populations, threats, and conservation actions, employing a dynamic real-time repository. This approach would enable assessors to access an up-to-date overview, improving the Red List assessments' efficiency, accuracy, and consistency. Expanding assessors and training early-career professionals would also standardize evaluation criteria and reduce subjectivity. By capitalizing on IUCN's training expertise, these changes aim to enhance the robustness of assessments, supporting more effective, evidence-based conservation.

Abstract Image

蝙蝠是加强世界自然保护联盟红色名录评估的典范:实时数据、贡献者网络和专业培训应对共同挑战
世界自然保护联盟濒危物种红色名录是全球保护的重要工具,提供了世界范围内物种保护状况的基本信息。然而,目前的评估过程面临着一些挑战,包括数据差距、不同分类组的标准不一致以及有限的评估人员池。对于许多分类群来说,数据缺口是很常见的,特别是那些难以观察或识别范围广、碎片化的分类群。我们使用蝙蝠作为模型来突出挑战并提出与许多分类群体相关的解决方案。基本的存在数据和人口估计数往往缺失,关键信息未公布或无法进行评估。评估员负责审查所有可用信息,向当地或特定分类群专家征求意见,并编制一份全面的物种状况评估报告。我们建议建立一个由区域运营商、研究人员和利益相关者组成的网络,他们可以利用动态实时存储库,定期提供有关种群、威胁和保护行动的最新数据。这种方法将使评估人员能够访问最新的概述,提高红色清单评估的效率、准确性和一致性。扩大评估人员和培训早期职业专业人员也将规范评估标准,减少主观性。通过利用世界自然保护联盟的培训专业知识,这些变化旨在提高评估的稳健性,支持更有效的、基于证据的保护。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Conservation Letters
Conservation Letters BIODIVERSITY CONSERVATION-
CiteScore
13.50
自引率
2.40%
发文量
70
审稿时长
>12 weeks
期刊介绍: Conservation Letters is a reputable scientific journal that is devoted to the publication of both empirical and theoretical research that has important implications for the conservation of biological diversity. The journal warmly invites submissions from various disciplines within the biological and social sciences, with a particular interest in interdisciplinary work. The primary aim is to advance both pragmatic conservation objectives and scientific knowledge. Manuscripts are subject to a rapid communication schedule, therefore they should address current and relevant topics. Research articles should effectively communicate the significance of their findings in relation to conservation policy and practice.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信