首页> 外文期刊>Biological Conservation >The use of ecological traits in extinction risk assessments: A case study on geometrid moths
【24h】

The use of ecological traits in extinction risk assessments: A case study on geometrid moths

机译:生态特征在灭绝风险评估中的应用:以几何蛾类为例

获取原文
获取原文并翻译 | 示例
       

摘要

Identifying ecological traits that make some species more vulnerable than others is vital for predictive conservation science. By identifying these predisposing traits we can predict which species are most prone to decline and gain an understanding of the reasons behind the decline. The aim of this study was to determine the ecological traits that best predict extinction risk and distribution change in Finnish geometrid moths and to develop an understanding of the biological connections between these traits and threats. We found that larval specificity, overwintering stage and flight period length predicted distribution change and extinction risk. There was also an interaction effect between larval specificity and body size on both distribution change and extinction risk. In monophagous species the host plant distribution predicted extinction risk. Even though ecological traits are known to be important determinants of extinction risk, the IUCN red list categorization system is exclusively based on quantitative measures of populations and ignores the ecological traits. Here, we propose that taxon specific ecological data should also be used to predict extinction risk at least on a regional scale to improve the accuracy of the IUCN extinction risk classification.
机译:识别使某些物种比其他物种更脆弱的生态特征对于预测性保护科学至关重要。通过识别这些易感性状,我们可以预测哪些物种最容易衰退,并了解衰退背后的原因。这项研究的目的是确定最能预测芬兰几何蛾的灭绝风险和分布变化的生态特征,并加深对这些特征与威胁之间的生物学联系的理解。我们发现幼虫特异性,越冬阶段和飞行时间长度预测分布变化和灭绝风险。幼虫特异性和体型之间的相互作用也影响分布变化和灭绝风险。在单食性物种中,寄主植物的分布预测了灭绝的风险。尽管已知生态特征是造成灭绝风险的重要决定因素,但世界自然保护联盟红色名录分类系统完全基于种群的定量测量,而忽略了生态特征。在此,我们建议至少在区域范围内也应使用分类群特定的生态数据来预测灭绝风险,以提高IUCN灭绝风险分类的准确性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号