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Participants in the Convention on Biological Diversity’s processes for implementing the Kunming-Montréal Global Biodiversity Framework need clarity on what makes biodiversity information useful to national decision-makers. Here we present seven preconditions of useful biodiversity information and describe how these can be supported through regional support centres and south–south cooperation.
Biodiversity directly and indirectly contributes to all 17 of the UN’s Sustainable Development Goals. Making meaningful progress towards achieving these goals in the next seven years will require embracing their interdependencies.
For the concept of nature positive to succeed as the lodestar for international action on biodiversity conservation, it must build upon lessons learned from the application of the mitigation hierarchy — or risk becoming mere greenwash.
The September 2023 release of the Taskforce for Nature-Related Financial Disclosures is just one event in a groundswell of discussion around who must pay to protect and restore nature.
The rate and extent of global biodiversity change is surpassing our ability to measure, monitor and forecast trends. We propose an interconnected worldwide system of observation networks — a global biodiversity observing system (GBiOS) — to coordinate monitoring worldwide and inform action to reach international biodiversity targets.
The majority of power generated by photovoltaic energy infrastructure is derived from ground-mounted solar arrays that prioritize energy production, minimize operating costs and, at best, accommodate limited ecosystem services. We argue that co-prioritizing ecosystem services and energy generation using an ecologically informed, ‘ecovoltaics’ approach to solar array design and operation will have multiple benefits for climate, biodiversity and the restoration of degraded lands.
Indigenous Peoples are increasingly being sought out for research partnerships that incorporate Indigenous Knowledges into ecology research. In such research partnerships, it is essential that Indigenous data are cared for ethically and responsibly. Here we outline how the ‘CARE Principles for Indigenous Data Governance’ can sow community ethics into disciplines that are inundated with extractive helicopter research practices, and we provide standardized practices for evolving data and research landscapes.
Machine learning is a popular tool in ecology but many scientific applications suffer from data leakage, causing misleading results. We highlight common pitfalls in ecological machine-learning methods and argue that discipline-specific model info sheets must be developed to aid in model evaluations.