Conservation Science and Practice

1.AimThe Species Threat Abatement and Restoration (STAR) metric was developed to support setting and measuring progress towards science-based targets for species conservation, in alignment with the Kunming-Montreal Global Biodiversity Framework. The STAR metric quantifies the potential reduction in species global extinction risk achievable through actions to abate threats (START) and restore habitat (STARR). The STAR metric is used across multiple sectors to assess contributions to nature-positive species outcomes and implement action for biodiversity. Here we present a substantially enhanced global estimate of START for terrestrial vertebrates. Developed in response to user demand, this work integrates advancements in methodology and data quality, increased spatial resolution, and addition of reptile species. LocationGlobal Time PeriodCurrent Major taxa studiedTerrestrial vertebrates MethodsSTART was estimated at 1km2 resolution for 9,100 species of threatened and Near Threatened birds, mammals, amphibians and reptiles, using IUCN Red List assessments (version 2025-1) and area of habitat (AOH) maps generated using an advanced data-driven methodology and satellite-derived land-cover data. AOH maps were validated using a two-stage protocol using species observation data. ResultsThe six countries with the highest estimated START scores, and therefore the largest individual potential to reduce global extinction risk via tackling threats nationally were Brazil, Madagascar, Indonesia, Mexico, Ecuador and Colombia (each contributing over 5% of global estimated START). The threat with the greatest individual potential to reduce extinction risk was annual and perennial non-timber crops (21.2% of global START). Main conclusionsTargeted actions to tackle a few high-impact threats in a few discrete locations, and cumulative effort across multiple areas with lower individual potential, are both required to meaningfully reduce species extinction risk through threat abatement. This global scale estimation of START enables consistent scoping of conservation opportunity over large areas and provides the critical initial data to support planning and action.

Through the end of the century, biodiversity is expected to markedly decline around the world due to climate change, habitat loss, and other factors. Because of this, there is an increasing need for more efficient, effective, and collaborative conservation efforts worldwide. While many global and national threat assessment databases exist, they may only have limited utility at regional and local scales where on-the-ground conservation is best implemented. To better identify species risk at a more regional scale, the 14 state fish and wildlife agencies in the northeastern United States worked with taxonomic experts across the Northeast to create the most recent (2023) list of Regional Species of Greatest Conservation Need (RSGCN). We compared a preliminary list compiled from global and national datasets to the finalized list after the process documented here. We found that the global and national datasets only identified [~]55% of the 806 species statuses accurately for the region, demonstrating the importance of current local and regional expertise and data. The process of identifying RSGCN for the northeastern U.S. has resulted in specific actionable information leading to beneficial outcomes, such as dedicated funding for regional initiatives, data-sharing, and coordination among regional, state, and local conservation organizations - enabling beneficial conservation outcomes across the region for many of the species and habitats of the region. The methods described may serve as a framework for other regions to help identify conservation targets using the best available and more localized landscape- and watershed-scale information.

Addressing urgent conservation issues, like the drastic declines of North American migratory birds, requires creative, evidence-based, efficient, and collaborative approaches. Over 50% of monitored North American shorebird populations have lost over 50% of their abundance since 1980. To address these declines, we developed a partnership of scientists and practitioners called the Shorebird Science and Conservation Collective (hereinafter "the Collective"). Here, we present this successful case study as an example for others engaged in translational science. The Collective acts as an intermediary whereby dedicated staff collate and analyze data contributions from scientists to support knowledge requests from conservation practitioners. Data contributions from 74 organizations include over 6.7 million shorebird locations forming movement paths of 3,345 individuals representing 36 species tracked across the Americas. We describe the founding and structure of the Collective and conservation activities we supported in our first two years. As the volume of scientific data on animal movements continues to grow, groups like the Collective can be vital liaisons to rapidly integrate and interpret research to support conservation action.

Providing synthetic substitutes is a widely promoted strategy to shift consumer demand away from wildlife products derived from threatened species. Yet, there is little evidence on whether such product substitution interventions effectively prevent illegal or unsustainable harvesting and contribute to the recovery of threatened populations. Drawing on the Furs For Life (FFL) Zambia initiative, which supplied synthetic furs known as "Heritage Furs" to replace leopard skins traditionally worn during Lozi royal ceremonies in Western Zambia, we present an evaluation designed to test both the effects and causal mechanisms of substitution. Guided by the EMMIE framework, commonly used in crime prevention evaluation, we triangulated data from semi-structured questionnaires, law enforcement patrols, court records, camera trap monitoring, and stakeholder interviews conducted between 2018 and 2024. Qualitative analysis using the General Elimination Method was employed to assess plausible alternative explanations for leopard recovery. By 2024, adoption of synthetic furs among leopard fur users exceeded 80 percent, while self-reported ownership of authentic leopard furs declined by 70 percent. At the same time, patrol detections of leopard poaching incidents decreased, and camera trap density estimates increased from an average of 2.7 to 3.8 leopards per 100 square kilometers across the focal landscape. An integrated mechanism of change, derived from stakeholder perspectives, indicates that while substitution reduced demand, concurrent and reinforcing effects of counter-poaching and counter-trafficking operations were critical to leopard recovery. This study provides the first empirical link between a demand reduction initiative based on synthetic substitutes and measurable species population recovery.

Gaps in biodiversity protection occur in Canada due to limited jurisdiction of federal species-at-risk laws and the absence of dedicated legislation in many provinces, including British Columbia (B.C.). While lacking legal protection, B.C. maintains Red, Blue, and Yellow Lists of threatened, special-concern, and secure species, respectively, using a NatureServe ranking system. We compiled historical data on species status in B.C. between 2008 and 2024 from the B.C. Conservation Data Centre. B.C. is home to 5,485 Yellow, 1,116 Blue, 491 Red-listed species. Changes in status over this time period were reported for 967 animal species, with an even split in uplistings (more imperiled) and downlistings (less imperiled). More status changes were reported for plants (2,902), mainly due to updated methodology leading to a lower risk status. Analysing the accompanying explanation for each status change revealed that most changes were non-genuine (e.g., new information, taxonomy, or methodology) rather than genuine (e.g., true changes in population size, range, or threats). Genuine improvements in the status of species in B.C. have been exceedingly rare. This analysis indicates that current laws and regulations have been insufficient to recover species at risk within B.C. Plain-language summaryBritish Columbia is the most biodiverse province in Canada, yet 1,607 species are imperiled in the province. We analysed trends, finding a 16% rise in the number of species at risk since 2008. By analysing the provided explanations, we found that status improvements were mostly "non-genuine", caused by changing methodology and/or new data. Strengthening legal protections is essential to prevent biodiversity loss in the province.

Biological invasions represent a key threat to island ecosystems, with pronounced impacts across environments and economies. The ecological impacts have received substantial focus, but the economic costs have lacked synthesis at spatial and temporal scales. Here we utilise the InvaCost database, the most comprehensive global assessment of published economic costs of invasive species, to assess reported spend by cost types and socioeconomic sectors, and to examine temporal trends in spending, across islands that differ in their political geography - nation states, overseas territories or offshore islands of continental countries. We based this assessment on 1473 unique cost entries comprising 2914 annual costs totalling almost US$100 million in area-corrected costs between 1965-2020. We find that offshore islands of continental countries incur the greatest total and management costs. However, nation states incurred the greatest damage costs whilst substantially financing management actions, and spent an overall greater proportion of their GDP. In contrast, spending within overseas territories was significantly lower in all respects. The most impacted sector was authorities and stakeholders, demonstrating the key role of government in addressing island invasions. Temporal trends revealed continual increases in spending across all island types. This likely reflects ongoing introduction rates globally alongside an increased recognition of the importance of islands as biodiversity hotspots, and an appetite to tackle invasive species at larger and more socially complex scales. However, the high economic costs of invasions on islands substantiates the need to prevent them in order to avoid this dire threat to biodiversity and its burden on limited conservation resources.

In this study, we assess how well globally threatened bird species in Latin America are currently represented within existing protected areas, and we identify conservation priority areas for the most under-protected species. We used publicly available data to map the Area of Habitat (AOH) for each of the 149 land birds in South America listed on the IUCN Red List of Threatened Species as either Critically Endangered, Endangered, or Vulnerable (the latter only under criterion D - those with the smallest populations or ranges). We then set two minimum conservation targets for each species: first a population-based target that estimates the proportion of the AOH needed to conserve 1,000 mature individuals (or the total population if smaller) to prevent extinction; and second, an area-based target that estimates the amount of habitat needed to sustain the long-term conservation of each species. The AOH maps were then overlaid with existing protected areas to identify those species that do not yet have their minimum conservation targets met. Using this approach, we identified 10 species that require additional protection to avoid extinction, and a further 54 species that need expanded protection for sustained conservation. Fortunately, the majority of species already met their target. We also ran a prioritization analysis to identify and map the places most important for meeting the goals of the under-protected species. We found that just 661.4 km2 is needed to meet population-based targets for the ten species of greatest concern, and 16,360 km2 is needed to meet area-based targets for all under-protected species combined. These areas represent <0.1% of the regions land area and are mostly concentrated in five countries (Mexico, Colombia, Ecuador, Peru, and Brazil). Expanding reserves to cover these areas should result in both improved conservation outcomes and Red List status for these species.

Detection of wildlife mortality events is critical for timely conservation and natural resource management. We present an open-source, web-based decision support tool that queries, aggregates and summarizes participatory science data from iNaturalist to monitor mortality events worldwide. We demonstrate the effectiveness of this approach using four case studies spanning taxonomic, spatial, and temporal scales. In Canada and the United States, high peaks of bird mortality coincided with zoonotic risk during avian influenza outbreaks. Across Latin America, we detected 75 mortality events of critically endangered species. In California, recorded mammal mortality was associated with human infrastructure, including proximity to roads, and to a lesser extent, the human footprint. Mortality of pumas (Puma concolor) was detected across nine countries, highlighting the need for international cooperation to conserve mobile species. Our tool enables resource managers to flag emerging threats and empowers participatory scientists to monitor and integrate mortality records for conservation.

Area-based conservation remains a pivotal component of global wildlife protection efforts. Mexico hosts a diverse array of area-based approaches, encompassing protected areas (PAs) and other effective area-based conservation measures (OECMs) such as voluntary conservation areas (VCAs) and wildlife management units (UMAs). Indigenous Territories (ITs) also provide heightened conservation potential through traditional ecological knowledge systems. These conservation spaces exhibit significant variations in community involvement, national coverage, and governance. Here, we evaluate the conservation potential of these land management types for 29 terrestrial carnivores, focusing on spatial co-occurrence. We determine areas in Mexico lacking area-based protection and calculate carnivore richness per land management type. Analyzing overlap between land management types and carnivore ranges, we employ heat maps to visualize overlap occurrence and key unprotected areas. We found that across all carnivore ranges, 87% of the area remains unprotected under designated protection areas (PAs & VCAs), decreasing to 65.2% after including non-designated types (ITs and UMAs). We identified several key gaps in the protection estate for Mexican carnivores, most notably on the eastern Mexican coast in the state of Veracruz. Our findings corroborate the importance of including Indigenous Peoples and Local Communities in conservation efforts, emphasizing their contributions to the stewardship of Mexican ecosystems. As the global protected area estate continues to expand under the post-2020 global biodiversity targets, and the importance of a well-designed and diverse portfolio of practices for conservation is recognized, the need for collective action, increased collaboration and inclusivity, and effective communication amongst stakeholders becomes necessary for carnivore conservation.

Threatened species management relies on Ex ante estimates of species responses to different interventions to generate meaningful predictions. Structured expert elicitation is often used to generate these estimates, but comparisons of these expert-predicted outcomes with observed results are rare. This study aims to evaluate the utility of expert elicitation for adaptive management in the New South Wales Saving our Species (SoS) program in Australia by revisiting six species management plans that were generated from bespoke structured elicitation guidelines five years prior. Each species management plan included a defined scope, conceptual model, monitoring indicators and estimated response to management curves under different scenarios. Experts reviewed the conceptual models after five years of management and monitoring and compared the predicted response to management with observed monitoring data. In three of the six case studies, observed outcomes closely matched predictions. Where predictions diverged, factors such as unanticipated new threats and unexpected responses to interventions contributed to discrepancies. However, in all cases, the structured approach provided a clear logic for planning, enabling managers to systematically refine their understanding. The conceptual models and response curves proved valuable for collaboration, communication, and generating hypotheses for unexpected results. This work demonstrates the value of the bespoke guidelines in supporting adaptive management processes, strengthening the knowledge base for threatened species conservation while improving alignment between predictions and real-world outcomes.

There is growing concern, locally and globally, about the health of pollinating insects and their decreasing abundance and diversity. While roads may also be contributing to insect pollinator declines (roads can contribute to habitat fragmentation and habitat destruction), roadsides may provide opportunities for pollinating insect conservation. Yet to use these areas to support local pollinating insects, we need to understand which plants will support wild pollinators, especially of conservation concern. To that end, we researched the potential plant-pollinator networks of three existing seed mixes in western New York (USA) - a roadside seed mix, a pollinator-friendly planting mix, and a lawn seed mix. We used publicly available information and built bipartite graphs to show the resulting networks. The pollinator-friendly seed mix supported the most pollinating insects overall and taxa of conservation concern. Yet the roadside mix, with the same species richness as the lawn seed mix, supported a different network based on the plants in the mix. Our results inform which particular plant species in existing seed mixes in western New York can support wild pollinating insect species of concern in the region. Additionally, our results show potentially how roadside and lawn plantings may be altered to support a broader network of pollinating insects.

Conservation strategies for at-risk species can be aided significantly by research on topics such as ecology, life history, and threats, yet research effort is lacking for many species facing elevated extinction risk. Here we investigated whether listing under the U.S. Endangered Species Act (ESA) was associated with research effort for U.S. butterflies, and whether that effort was higher before or after ESA listing. We found that ESA-listed species had significantly more peer-reviewed publications than non-listed species after accounting for species range and taxonomic family. Further, we showed that more papers were published per year after ESA listing than before. These findings confirm that ESA-listed species benefit from greater research attention that can support data-informed conservation efforts. However, the relative scarcity of studies prior to ESA listing, as well as the lack of research for many unlisted, at-risk taxa, underscores the need for proactive, strategic research effort to inform conservation action.

On January 27, 2021, President Biden signed an executive order, Tackling the Climate Crisis at Home and Abroad, committing the United States to various goals within his campaigns major climate policy, the Biden Plan for a Clean Energy Revolution and Environmental Justice. Included in this executive order is a commitment to "conserving at least 30 percent of [the United States] lands and oceans by 2030." This ambitious conservation target signals a promising direction for biodiversity in the United States. However, while the executive order outlines several goals for climate mitigation, the 30x30 target remains vague in its objectives, actions, and implementation strategies for protecting biodiversity. Biodiversity urgently needs effective conservation action, but it remains unclear where and what this 30% target will be applied to. Achieving different climate and biodiversity objectives will require different strategies and, in combination with the associated costs of implementation, will lead to different priority areas for conservation actions. Here, we illustrate what the 30% target could look like across four objectives reflective of the ambitious goals outlined in the executive order. We compile several variations of terrestrial protected area networks guided by these different objectives and examine the trade-offs in costs, ecosystem representation, and climate mitigation potential between each. We find little congruence in priority areas across objectives, emphasizing just how crucial it will be for the Biden administration to develop clear objectives and establish appropriate performance metrics from the outset to maximize both conservation and climate outcomes in support of the 30x30 target. We discuss important considerations that must guide the administrations conservation strategies in order to ensure meaningful conservation outcomes can be achieved over the next decade.

In the context of climate change it is important to keep biodiversity databases up-to-date. This priority generates the need for a metric to assess the concept of up-to-dateness. The objective of this paper is to devise a measure of up-to-dateness for atlas-type biodiversity data. The data input into the algorithm consists of the species, date and grid cell allocation of all available records for a taxon in a region. First, for each grid cell in a region, the median of the date of the most recent record of each species is calculated. Secondly, the median of the median dates for each grid cell yields an overall measure of up-to-dateness. The performance of this algorithm is investigated in relation to databases for six taxa in southern Africa. In June 2021, the up-to-dateness of the databases varied from 41 years for the reptile database to two years for the bird database. The quality of a biodiversity database is a multidimensional concept; up-to-dateness is only one of several dimensions. The paper identifies a need to quantify the rate at which the "value" of a record decays as evidence that a species still occurs at a locality, and suggests an experimental process for doing this. The use of the up-to-dateness index to motivate citizen scientists is discussed.

Over a quarter of species assessed by the IUCN Red List are threatened with extinction. A global commitment to protect 17% of land and 10% of the oceans by 2020 is close to being achieved, but with limited ecological impacts due to its inadequacy and poor enforcement. Here, we reverse-engineer IUCN Red List criteria to generate area-based conservation targets and spatial conservation priorities to minimize the extinction risk of the world terrestrial mammals. We find that approximately 60% of the Earths non-Antarctic land surface would require some form of protection. Our results suggest that global conservation priority schemes, among which the Aichi targets, will be inadequate to secure the persistence of terrestrial mammals. To achieve this goal, international cooperation is required to implement a connected and comprehensive conservation area network, guided by high priority regions outlined in this study.

Natural history museums comprise a unique and important component of biological infrastructure worldwide, and underlie diverse research, education, and outreach in the natural sciences. Each museum is built around one or more biological collections that serve as a repository of important materials for study, which have contributed to scientific research in increasingly important areas ranging from understanding global climate change to developing new biotechnological applications. However, despite centuries of existence, global collections sizes have only been recently estimated, and aside from analyses of certain institutions or well-studied clades, little is known about how patterns of collecting activity across institutions, geographic regions, or taxonomic clades, or how these patterns vary across time. To address this important gap in our understanding of critical life sciences infrastructure, I gathered and analyzed zoological records associated with preserved specimens collected between 1900 and 2015 and housed in worldwide natural history collections using data from the Global Biodiversity Information Facility. My analysis indicated that global, museum-associated collecting activity focused on animals has varied greatly over time, peaking around 2000 and declining significantly since. By stratifying data by institution, nation, and taxonomic phylum and class, I also illuminated how individual data series contribute to these global patterns. Institutions and nations had either concentrated or dispersed periods of relatively high collecting activity that occurred over different time periods, although most growth occurred in the second half of the 20th century for both many individual institutions and globally. Certain taxonomic clades comprise the largest proportions of collections records over this time period, namely arthropods (especially insects) and chordates (especially vertebrates), underscoring the taxonomically biased collecting histories of many institutions. Altogether, my analyses provide a critical, early view of historical zoological collecting activity and, to help other museum stakeholders to explore the data and results in more depth, I also describe and release NHMinformatics, an interactive dashboard built using R Shiny. These resources, when combined with recommendations I have made for sustainable collections growth, will be helpful for establishing policy goals, provisioning museum infrastructure, and training curatorial personnel.

Rewilding is a landscape recovery approach that seeks to enhance functioning of degraded ecosystems by reinstating natural processes and is increasingly being adopted by organisations and landowners. Despite its popularity, there is no accepted way to assess rewildings impacts. This is due in part to inconsistent monitoring and evaluation. Here we report the results from a systematic map of the academic and grey literature on monitoring and evaluation in rewilding case studies. We find that researchers and practitioners are focused on different aspects of rewilding, and that limited recording of case study details and lack of robust experimental design make it difficult to pool and compare data. We identify challenges facing researchers and rewilding practitioners seeking to build a robust evidence base from which to evaluate rewilding outcomes. These challenges include resources as well as spatial and time constraints, which all limit the consistency of data gathering among projects. More comparisons across rewilding projects, better standardisation of data collection and data recording methods, and increased collaboration between researchers and practitioners could go some way to remedy this. We provide recommendations for planning and implementing studies of rewilded landscapes to aid monitoring and evaluation. These include the broad adoption of low-cost and scalable survey designs with greater focus on comparisons across sites, and continued effort towards open-source data storage.

After the US federal government created a national pollinator protection plan in 2015, many states followed with their own. Since their goal is to promote pollinating insect conservation, we wanted to know whether the state plans are using best practices for evidence-based science policy. In early 2019 we found and downloaded every existing, publicly available US state pollinator protection plan. We then used content analysis to assess the goals, scope, and implementation of state-level pollinator protection plans across the US. This analysis was conducted using three distinct frameworks for evidence-based policymaking: US Department of Interior Adaptive Resources Management (ARM), US Environmental Protection Agency management pollinator protection plan (MP3) guidance, and Pew Trusts Pew-MacAthur Results First Project elements of evidence-based state policymaking (PEW) framework. Then we scored them using the framework criteria, to assess whether the plans were using known best practices for evidence based policymaking. Of the 31 states with a state pollinator plan, Connecticut was the state with the lowest total score across the three evaluation frameworks. The state with the highest overall scores, across the three frameworks, was Missouri. Most states did not score highly on the majority of the frameworks. Overall, many state plans were lacking policy elements that address monitoring, evaluation, and adjustment. These missing elements impact states ability to achieve their conservation goals. Our results indicate that states can improve their pollinator conservation policies to better match evidence-based science policy guidance, regardless of which framework is used.

O_LIArea-based conservation targets, such as 30-30, if strategically applied, can increase resiliency to climate change and provide co-benefits to people and biodiversity. However, protected areas historically were not designated within the context of global change, and human communities at highest risk are often overlooked in conservation planning. C_LIO_LITo inform 30-30 conservation planning in the United States (i.e., America the Beautiful; ATB), we evaluated where US conservation opportunities exist by identifying habitats that can simultaneously benefit climate change mitigation and bird populations, as well as who lives in these areas and how conservation actions could both improve human well-being or potentially be at odds with local communities. To inform the equitable implementation of area-based conservation targets, we integrated maps of critical habitat for birds now and under a changing climate with carbon stocks and sinks and developed a prioritization framework to investigate the spatial alignment of these locations with areas identified as important for both human well-being and land-dependent human communities. C_LIO_LIAlthough nearly 30% of US lands have some level of protection, only 6% of US lands (143 million acres) are managed for biodiversity and align with Bird and Carbon (BC) priorities, and <3% of protected US lands (59 million acres) align with priorities for Birds, Carbon, and Human well-being (BCH). C_LIO_LIOf the 312 million acres of BCH priorities identified, 71% lack known protection or formal conservation plans (14% of US lands) and should be considered conservation opportunities that could simultaneously address the biodiversity and climate crises, and social inequities. Targeting these BCH areas for conservation action would contribute to more equitable benefits to marginalized communities, and could fulfill the Justice 40 commitment, which aims to allocate 40% of federal investments in climate benefits to marginalized communities (which, for the 30% goal under ATB equates to 12% of US lands). C_LIO_LIAt least 80% of all BCH priorities co-occur with Indigenous peoples and local communities (IPLCs) who have strong cultural and socioeconomic ties to the land, making it imperative to work with local communities to define what counts as conservation actions towards the 30% goal and what successful conservation outcomes that benefit biodiversity, climate change mitigation, and human communities look like. C_LI

Appendix III is an underutilized component of The Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES), comprising less than 2% (n = 519) of all listed species (January 2024). Appendix III uniquely offers unilateral protection for nationally protected species without requiring international consensus. Since CITES came into effect in 1975, 2,203 species have been added to Appendix III, including 875 endemic and 1,328 multi-country species. A total of 994 species have been delisted, mostly during CITES first decade. One-third of Appendix III species have been proposed for uplisting, with a 96% success rate and a median time of 3.3 years. Strengthening Appendix IIIs impact involves broader cooperation for species ranging from multiple countries, regular reviews, and utilizing Appendix III listings as a precursor for Appendix I and II proposals to enhance global biodiversity management.