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Protected areas conserve biodiversity and ecosystem functions but might impede local economic growth. Understanding the global patterns and predictors of different relationships between protected area effectiveness and neighboring community economic growth can inform better implementation of the Kunming-Montreal Global Biodiversity Framework. We assessed 10,143 protected areas globally with matched samples to address the non-random location of protected areas. Our results show that protected areas resist human-induced land cover changes and do not limit nightlight increases in neighboring settlements. This result is robust, using different matching techniques, parameter settings, and selection of covariates. We identify four types of relationships between land cover changes and nightlight changes for each protected area: "synergy," "retreat," and two tradeoff relationships. About half of the protected areas (47.5%) retain their natural land cover and do so despite an increase of nightlights in the neighboring communities. This synergy relationship is the most common globally but varies between biomes and continents. Synergy is less frequent in the Amazon, Southeast Asia, and some developing areas, where most biodiversity resides and which suffer more from poverty. Smaller protected areas and those with better access to cities, moderate road density, and better baseline economic conditions have a higher probability of reaching synergy. Our results are promising, as the expansion of protected areas and increased species protection will rely more on conserving the human-modified landscape with smaller protected areas. Future interventions should address local development and biodiversity conservation together to achieve more co-benefits. • Protected areas do not limit nightlight increases in neighboring communities • Half of protected areas show synergy: conservation effectiveness and local development • Synergy differs between biomes, continents, and countries • Socioeconomic drivers and protected area size are the best predictors of synergy Protected areas are key to biodiversity conservation but are often treated as obstacles to local development. Li et al. use evidence from 10,143 protected areas to understand if there is compatibility between protected area effectiveness and economic development in neighboring communities and, if so, what factors drive such compatibility. [ABSTRACT FROM AUTHOR]

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 <40% of their published ranges. Some 79 mammal, 49 bird, and 184 amphibian ranges are <20,000km2—an area at which IUCN considers most other species to be threatened. Moreover, these species are not better protected by the existing network of protected areas than are species that IUCN accepts as threatened. Simply, there appear to be considerably more species at risk than hitherto appreciated. Furthermore, incorporating remote sensing data showing where habitat loss is prevalent changes the locations of conservation priorities. [ABSTRACT FROM AUTHOR]

The Belt and Road Initiative (BRI) is the largest infrastructure development in human history. Given its scale of influence and infrastructure undertakings, it is set to bring far-reaching environmental impacts to regions such as Southeast Asia, one of the biologically richest and most diverse regions in the world. Knowing where and what biodiversity BRI will potentially affect is crucial to plan and address its negative impacts. Using BRI transport infrastructure spatial data, we conducted a GIS analysis of the potential BRI impacts in Southeast Asia on terrestrial and marine biodiversity indicators, including protected areas (PAs), Key Biodiversity Areas (KBAs), terrestrial ecoregions, forest cover, threatened species, and fragile ecosystems such as seagrasses, mangroves, and coral reefs. We assessed the potential impacts across four key distance thresholds (1, 5, 25, and 50 km "impact zones") on either side of the routes. For the terrestrial routes we assessed impacts for five different types of linear rail and road infrastructure development. Within 1 km of all routes 32 PAs, 40 KBAs and 29 ecoregions are intersected. While, 142 threatened species including 26 critically endangered species are within 5 km from new rail, which are also commonly found in frontier landscapes. In marine ecosystems 20 marine PAs and 16 KBAs are intersected by BRI marine routes. We conclude by discussing ways BRI could minimise its environmental impacts and utilise its political weight to advance conservation efforts in host nations. • BRI linear infrastructure impacts on biodiversity in Southeast Asia were mapped • Impacts were assessed within four impact zone distances for road, rail and shipping • 32 PAs, 40 KBAs and 29 ecoregions are within 1 km of terrestrial routes • 26 critically endangered and species are within 5 km of new rail • Vietnam and Peninsular Malaysia land and Indonesian marine routes are of concern [ABSTRACT FROM AUTHOR]