首页> 外文期刊>Conservation Letters >Formulating Smart Commitments on Biodiversity: Lessons from the Aichi Targets
【24h】

Formulating Smart Commitments on Biodiversity: Lessons from the Aichi Targets

机译:制定关于生物多样性的明智承诺:爱知目标的教训

获取原文
       

摘要

Abstract The world is currently not on course to achieve most of the Convention on Biological Diversity's Aichi Targets to address biodiversity loss. One challenge for those implementing actions to achieve them may be the complexity and lack of clarity in the wording of the targets, which also make it difficult to stimulate and quantify progress. Drawing on experience in developing and measuring indicators to assess progress toward targets, we identify four key issues: ambiguity, quantifiability, complexity, and redundancy. The magnitude of required commitments under some targets is rendered ambiguous by the use of imprecise terms (e.g., “substantially”), while many targets contain poorly defined operational terms (e.g., “essential services”). Seventy percent of targets lack quantifiable elements, meaning that there is no clear binary or numeric threshold to be met in order for the target to be achieved. Most targets are excessively complex, containing up to seven different elements, while one-third of them contain redundancies. In combination, these four issues make it difficult to operationalize the targets and to ensure consistent interpretation by signatories. For future policy commitments, we recommend the adoption of a smaller number of more focused headline targets (alongside subsidiary targets) that are specific, quantified, simple, succinct, and unambiguous.
机译:摘要目前,世界还没有实现大部分的《生物多样性公约》关于解决生物多样性丧失的《爱知目标》。那些为实现这些目标而采取行动的挑战可能是目标措辞的复杂性和缺乏明确性,这也使得难以激励和量化进展。利用开发和测量指标的经验来评估实现目标的进度,我们确定了四个关键问题:模糊性,可量化性,复杂性和冗余性。通过使用不精确的术语(例如,“基本上”),某些目标下所需承诺的数量变得模棱两可,而许多目标包含定义不明确的操作术语(例如,“基本服务”)。 70%的目标缺乏可量化的元素,这意味着没有明确的二进制或数字阈值可以满足目标的实现。大多数目标过于复杂,最多包含七个不同的元素,而其中三分之一包含冗余。结合在一起,这四个问题使目标难以实现并难以确保签署国的一致解释。对于未来的政策承诺,我们建议采用较少的,更具针对性的标题目标(以及附属目标),这些目标是具体的,量化的,简单的,简洁的和明确的。

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