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The IUCN (International Union for Conservation of Nature) Red List classifies species according to their risk of extinction, informing global to local conservation decisions. Unfortunately, important geospatial data do not explicitly or efficiently enter this process. Rapid growth in the availability of remotely sensed observations provides fine-scale data on elevation and increasingly sophisticated characterizations of land cover and its changes. These data readily show that species are likely not present within many areas within the overall envelopes of their distributions. Additionally, global databases on protected areas inform how extensively ranges are protected. We selected 586 endemic and threatened forest bird species from six of the world's most biodiverse and threatened places (Atlantic Forest of Brazil, Central America, Western Andes of Colombia, Madagascar, Sumatra, and Southeast Asia). The Red List deems 18% of these species to be threatened (15 critically endangered, 29 endangered, and 64 vulnerable). Inevitably, after refining ranges by elevation and forest cover, ranges shrink. Do they do so consistently? For example, refined ranges of critically endangered species might reduce by (say) 50% but so might the ranges of endangered, vulnerable, and nonthreatened species. Critically, this is not the case. We find that 43% of species fall below the range threshold where comparable species are deemed threatened. Some 210 bird species belong in a higher-threat category than the current Red List placement, including 189 species that are currently deemed nonthreatened. Incorporating readily available spatial data substantially increases the numbers of species that should be considered at risk and alters priority areas for conservation.

The IUCN Red List has assessed the global distributions of the majority of the world's amphibians, birds and mammals. Yet these assessments lack explicit reference to widely available, remotely-sensed data that can sensibly inform a species' risk of extinction. Our first goal is to add additional quantitative data to the existing standardised process that IUCN employs. Secondly, we ask: do our results suggest species of concern-those at considerably greater risk than hitherto appreciated? Thirdly, these assessments are not only important on a species-by-species basis. By combining distributions of species of concern, we map conservation priorities. We ask to what degree these areas are currently protected and how might knowledge from remote sensing modify the priorities? Finally, we develop a quick and simple method to identify and modify the priority setting in a landscape where natural habitats are disappearing rapidly and so where conventional species' assessments might be too slow to respond. Tropical, mainland Southeast Asia is under exceptional threat, yet relatively poorly known. Here, additional quantitative measures may be particularly helpful. This region contains over 122, 183, and 214 endemic mammals, birds, and amphibians, respectively, of which the IUCN considers 37, 21, and 37 threatened. When corrected for the amount of remaining natural habitats within the known elevation preferences of species, the average sizes of species ranges shrink to

For decades, China has implemented restoration programs on a large scale, thanks to its capacity to set policy and mobilize funding resources. An understanding of China's restoration achievements and remaining challenges will help to guide future efforts to restore 30% of its diverse ecosystems under the Kunming-Montreal Global Biodiversity Framework. Here we summarize the major transitions in China's approach to ecosystem restoration since the 1970s, with a focus on the underlying motivations for restoration, approaches to ecosystem management, and financing mechanisms. Whereas China's restoration efforts were predominantly guided by the delivery of certain ecosystem functions and services in earlier decades, more recently it has come to emphasize the restoration of biodiversity and ecosystem integrity. Accordingly, the focal ecosystems, approaches, and financing mechanisms of restoration have also been considerably diversified. This evolution is largely guided by the accumulation of scientific evidence and past experiences. We highlight the key challenges facing China's restoration efforts and propose future directions to improve restoration effectiveness, with regard to goal setting, monitoring, stakeholder involvement, adaptive management, resilience under climate change, and financing. China has been engaged in ecosystem restoration efforts for decades, but recent changes in what defines 'restoration' call for new approaches. In this essay, Li et al. highlight China's previous ecosystem restoration achievements and the changes needed to restore its diverse ecosystems under the Kunming-Montreal Global Biodiversity Framework. [ABSTRACT FROM AUTHOR]

This document is an editorial discussing the importance of biodiversity conservation and sustainable development in protected areas (PAs). The Kunming-Montreal Global Biodiversity Framework has set a target of protecting and managing 30% of the world's terrestrial and marine areas by 2030. The editorial highlights the need to integrate conservation efforts with regional development and explores strategies for promoting a harmonious model of human-land interaction. The document summarizes 11 articles published under the Research Topic, which cover topics such as the spatial layout of PAs, conservation status and effectiveness, the relationship between conservation measures and ecosystem changes, and the attitudes and perceptions of local communities. The studies emphasize the importance of effective management measures and maintaining a balance between conservation and sustainable development in PAs. [Extracted from the article]

Bird–window collisions (BWCs) are a major threat to avian populations, annually causing up to one billion bird deaths in the US alone and untold numbers of fatalities worldwide. Until recently, there has been limited institutional and governmental recognition of this issue and few coordinated, national‐level efforts to address it. To fill this need, citizen‐science campaigns have stepped in to generate scientific information about BWCs, raise public awareness, and advocate for policy and actions to reduce collisions. We review the BWC issue and showcase how citizen‐science programs in multiple countries have achieved these outcomes. Additional citizen‐driven successes in addressing BWCs are possible if key constraints are overcome, including funding limitations and challenges of proactively engaging stakeholders who can reduce BWCs at scale. Addressing this global conservation issue will also require building upon the recent increase in attention to BWCs by government agencies, nongovernmental organizations, commercial entities, and professional scientists. [ABSTRACT FROM AUTHOR]

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., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)