Conservation Letters最新文献

The Kunming–Montreal Global Biodiversity Framework (GBF) will become the most important multilateral agreement to guide biodiversity conservation actions globally over the coming decades. An ecosystem goal and various targets for maintaining integrity, restoring degraded ecosystems, and achieving representation in conservation areas feature throughout the GBF. Here, we provide an operational framework that combines disparate information on ecosystem type, extent, integrity, protection levels, and risk of collapse to support identifying irreplaceable “Critical Ecosystem Areas” (CEAs), to help implement these ecosystem targets. The framework classifies each component ecosystem based on its integrity, importance in ensuring no ecosystem collapse, and relative value in achieving ecosystem-specific representation targets. These CEAs are immediate conservation opportunities given that they achieve multiple ecosystem GBF goals and targets, and we showcase its application using Myanmar's forested ecosystems as a case study.

Coordinated policies and effective global environmental governance are needed to address the global biodiversity crisis. Human dimensions like geopolitics influence conservation decision-making and outcomes. The importance of considering these complex social factors is heightened in an era of renewed great-power politics, as the intensifying US–China rivalry has direct implications for environmental governance and biodiversity outcomes. Can the US–China rivalry and its confrontational dynamics be channeled into conservation policymaking to improve biodiversity outcomes? Drawing from international relations and policy studies, policy diffusion theory can provide conservationists with useful insights into the interdependency of policy decisions. Here, we examine the four mechanisms—competition, coercion, learning, and emulation—of the classic model of policy diffusion theory in the context of environmental policymaking. We explore a case study for each mechanism to illustrate how it can benefit biodiversity conservation, and point to examples of relevant policies and actions that could improve outcomes. To operationalize this concept for conservation, we present a decision tree that conservationists can use to determine the most relevant policy diffusion mechanism in different policy contexts. Upon determining the appropriate mechanism, conservationists can take further steps to intentionally trigger the mechanism and catalyze conservation policy diffusion across jurisdictions.

Solar photovoltaic (PV) has become the second renewable energy source, giving rise to potential conflicts with biodiversity conservation. However, the information available about the impacts and mitigation measures of solar PV energy is scarce and scattered, and a rigorous and comprehensive review on the topic is lacking. Here, we review the state of knowledge on its impacts and mitigation measures and identify main knowledge gaps. For that, we reviewed more than 2000 articles, out of which only 180 assessed the impacts of solar PV (N = 138) and/or propose mitigation measures (65). Even though Asia and Europe head the list of regions with the highest PV installed capacity (59% and 22%, respectively), a large portion of the existing knowledge is drawn from North American environmental contexts (48% of the studies), specifically from deserts (41%). Impacts were addressed on plants (26%), arthropods (14%), birds (10%), microorganisms (10%), reptiles (7%), mammals (4%), and bats (1%), but also on abiotic factors (e.g., humidity and temperature; 20%) and ecosystem services (3%). Most studies addressed the impact of PV on habitat alteration at landscape (33%) and microhabitat scale (20%), and on microclimate at microhabitat scale (17%), but other topics have been scarcely addressed (e.g., impact on microclimate at landscape scale or the potential of agrivoltaic systems). Lastly, 53% of the studies employed a single PV facility, and preconstruction situations were rarely reported (8%). There is a strong environmental context bias in the current understanding of PV impacts, which might not be extrapolable to other environmental situations like farmlands, where most of the solar PV capacity is being installed. Moreover, standardized and robust sampling designs are lacking to address cumulative, long-term, and long-scale impacts and produce comparable findings across contexts. Given the lack of empirical evidence and the irrepressible development of PV energy, it is advisable to apply an iterative monitoring and adaptive process to guarantee a safe energy transition. This review may provide useful guidance on prioritizing research efforts for a smooth shift to renewable energy.

Unsustainable snaring is causing biodiversity declines across tropical protected areas, resulting in species extinctions and jeopardizing the health of forest ecosystems. Here, we used 11 years of ranger-collected data to assess the impact of intensive snare removal on snaring levels in two protected areas in Viet Nam. Snare removal resulted in significant declines in snare occupancy (36.9, 95% Bayesian credible interval [4.6, 59.0] reduction in percent area occupied), but snaring levels nonetheless remained high (31.4, [23.6, 40.8] percent area occupied), and came with a substantial financial cost. Our results indicate that snare removal remains an important component of efforts to protect tropical protected areas but by itself is likely insufficient to address this threat. To stop snaring in protected areas, a multifaceted approach will be necessary that combines short-term reactive snare removal with long-term proactive programs that address the underlying drivers behind snaring.

Other effective area-based conservation measures (OECMs) create opportunities for a wide range of area-based conservation strategies. As countries seek to integrate OECMs into conservation planning, it is useful to consider the types of areas that might meet the formal criteria. To support this goal, I analyzed the different types of measures discussed as possible OECMs in the literature, identifying a wide range of measures, far more diverse than those currently recognized as OECMs. There was a strong emphasis on measures with conservation as a secondary management objective, with most studies being supportive of the potential to balance biodiversity conservation and sustainable resource use. However, many studies have highlighted the need to ensure biodiversity outcomes are achieved and sustained, and that appropriate governance and management structures are in place. Concerns were raised about measures associated with resource extraction, such as fisheries and forestry, which were often considered incompatible with conservation. Very few studies offered a nuanced discussion of specific measures or evaluated whether sites offer conservation outcomes, leaving clear knowledge gaps in translating speculation into evidence. Nevertheless, the current literature offers a strong starting point from which to target potential case studies to build the evidence base necessary to advance OECMs.

To achieve the goals of the Kunming–Montreal Global Biodiversity Framework (KMGBF), agreed by Parties to the Convention on Biological Diversity, there is an urgent need to address the economic drivers of biodiversity loss. The KMGBF includes a target to encourage businesses and financial institutions to disclose their impacts and dependences on biodiversity. While transparent biodiversity disclosures could help shift business operations away from activities that harm biodiversity, the weak target wording implies voluntary and unstandardized disclosures, which tend to be low quality and ineffective. Moreover, examination of scientific and practical insights strongly indicates that the evolving strategy of disclosures led by businesses may prioritize short-term business and investment interests while neglecting biodiversity outcomes and the wider systemic risks they pose. We argue that there is a risk of limited if not altogether perverse outcomes from the target, where businesses provide ambiguous disclosures that fail to reduce impacts on biodiversity, yet an increase in volume and frequency of disclosures suggests progress toward the target. Consequently, we advocate for a regulatory approach, supported by scientific engagement in the development of disclosure standards and associated policy indicators, to ensure that the emerging response to the KMGBF target on disclosures avoids perverse outcomes and instead results in positive impacts on biodiversity.

Ecological risk assessments (ERAs) are crucial when developing national strategies to manage adverse effects from pesticide exposure to natural populations. Yet, estimating risk with surrogate species in controlled laboratory studies jeopardizes the ERA process because natural populations exhibit intraspecific variation within and across species. Here, we investigate the extent to which the ERA process underestimates the risk from pesticides on different species by conducting a meta-analysis of all records in the ECOTOX Knowledgebase for honey bees and wild bees exposed to neonicotinoids. We found the knowledgebase is largely populated by acute lethality data on the Western honey bee and exhibits within and across species variation in LD50 up to 6 orders of magnitude from neonicotinoid exposure. We challenge the reliability of surrogate species as predictors when extrapolating pesticide toxicity data to wild pollinators and recommend solutions to address the (a)biotic interactions occurring in nature that make such extrapolations unreliable in the ERA process.