The future of ecosystem assessments is automation, collaboration, and artificial intelligence
Environmental Research Letters
2023
18
1
011003
environmental policy ; environmental protection ; biodiversity ; automation ; artificial intelligence ; ecology ; government attitude
Technology
https://doi.org/10.1088/1748-9326/acab19
English
Bibliogr.
"The world faces unprecedented environmental change, a global biodiversity crisis, and an urgent need for sustainable human development [1]. International and national bodies have set ambitious agendas to help overcome these environmental challenges, such as the United Nations' (UN) Decade on Ecosystem Restoration, the 2030 Agenda for Sustainable Development, and the pending conservation of 30% of U.S. land and ocean by 2030 (30 by 30). Promptly assessing the status of ecosystems worldwide is essential to evaluate whether we are meeting these programs' objectives and to identify where further progress and targeted action are needed. Ecosystem assessments enable necessary understanding of ecological status by synthesizing multiple aspects of ecological change, including relations between people and ecosystems. However, such assessments have major limitations, as they are often infrequent, multi-year projects that are difficult to repeat and have limited in-situ and human data integration...."
Digital
The ETUI is co-funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the ETUI.