The potential for AI to revolutionize conservation: a horizon scan.

IF 16.7 1区生物学 Q1 ECOLOGY Trends in ecology & evolution Pub Date : 2025-02-01 Epub Date: 2024-12-17 DOI:10.1016/j.tree.2024.11.013

Sam A Reynolds, Sara Beery, Neil Burgess, Mark Burgman, Stuart H M Butchart, Steven J Cooke, David Coomes, Finn Danielsen, Enrico Di Minin, América Paz Durán, Francis Gassert, Amy Hinsley, Sadiq Jaffer, Julia P G Jones, Binbin V Li, Oisin Mac Aodha, Anil Madhavapeddy, Stephanie A L O'Donnell, William M Oxbury, Lloyd Peck, Nathalie Pettorelli, Jon Paul Rodríguez, Emily Shuckburgh, Bernardo Strassburg, Hiromi Yamashita, Zhongqi Miao, William J Sutherland

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Abstract

Artificial Intelligence (AI) is an emerging tool that could be leveraged to identify the effective conservation solutions demanded by the urgent biodiversity crisis. We present the results of our horizon scan of AI applications likely to significantly benefit biological conservation. An international panel of conservation scientists and AI experts identified 21 key ideas. These included species recognition to uncover 'dark diversity', multimodal models to improve biodiversity loss predictions, monitoring wildlife trade, and addressing human-wildlife conflict. We consider the potential negative impacts of AI adoption, such as AI colonialism and loss of essential conservation skills, and suggest how the conservation field might adapt to harness the benefits of AI while mitigating its risks.

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人工智能革新自然保护的潜力：地平线扫描。

人工智能（AI）是一种新兴工具，可以用来确定紧急生物多样性危机所需的有效保护解决方案。我们展示了我们对人工智能应用的地平线扫描结果，这些应用可能显著有利于生物保护。一个由保护科学家和人工智能专家组成的国际小组确定了21个关键想法。其中包括发现“黑暗多样性”的物种识别、改善生物多样性损失预测的多模式模型、监测野生动物贸易以及解决人类与野生动物的冲突。我们考虑了人工智能应用的潜在负面影响，例如人工智能殖民主义和基本保护技能的丧失，并建议保护领域如何适应利用人工智能的好处，同时降低其风险。

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IF 0 Zenodo (CERN European Organization for Nuclear Research)Pub Date : 2023-05-19 DOI: 10.5281/zenodo.7951360

Amanda Lorrayne Rodrigues da Silva, Pedro Henrique Dutra

O compliance e seus reflexos no direito brasileiro

IF 0 Scientia IurisPub Date : 2019-03-29 DOI: 10.5433/2178-8189.2019V23N1P125

Daniel Barile da Silveira, Carlos Henrique Miranda Jorge

来源期刊

Trends in ecology & evolution 生物-进化生物学

CiteScore

26.50

自引率

3.00%

发文量

178

审稿时长

6-12 weeks

期刊介绍： Trends in Ecology & Evolution (TREE) is a comprehensive journal featuring polished, concise, and readable reviews, opinions, and letters in all areas of ecology and evolutionary science. Catering to researchers, lecturers, teachers, field workers, and students, it serves as a valuable source of information. The journal keeps scientists informed about new developments and ideas across the spectrum of ecology and evolutionary biology, spanning from pure to applied and molecular to global perspectives. In the face of global environmental change, Trends in Ecology & Evolution plays a crucial role in covering all significant issues concerning organisms and their environments, making it a major forum for life scientists.