Wiley

Conservation Biology

Published by Wiley and Society for Conservation Biology

Online ISSN: 1523-1739

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Print ISSN: 0888-8892

Disciplines: Ecology

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FIGURE 3 (a) Protected area (PA) coverage of primates (515 species), (b) forest loss in PAs and within 5 km outside the PA (490 species; ***p < 0.001), (c) number of total publications on primates, (d) number of conservation publications on primates by region (outliers, >75% quantile + 1.5 × interquartile range, excluded; horizontal line, median; whiskers, 25% of interquartile range), and (e) averaged models used to assess the effect of different variables on current conservation status and change in status (303 species) (orange bars, significant effect; blue bars, no significant effect).
Effects of protected area coverage and research on conservation status of primates globally

June 2024

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161 Reads

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Pengfei Fan

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Conservation Biology, the flagship journal of the Society for Conservation Biology, is the leading journal in the field of conservation. Its ground-breaking research articles, essays, and reviews develop new theory and methods, define key problems, and propose solutions, exploring the social, ecological, and philosophical dimensions of the conservation of biological diversity. The journal offers globally relevant novel insights, approaches, and syntheses.

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Average wild bee densities in seminatural habitat (SNH) transects in relation to (a) seminatural habitat cover in the landscape in 750‐m radius around landscape center, (b) flower cover (back transformed) in the transect, (c) flower richness in the transect, and (d) whether or not a mass‐flowering crop was flowering in the landscape (N.S., not significant; y‐axes, back‐transformed pollinator densities; points, partial residuals; gray shading, 95% confidence intervals).
Average hoverfly densities in seminatural habitat (SNH) transects in relation to (a) seminatural habitat cover in the landscape in 750‐m radius around landscape center, (b) flower cover (back transformed) in the transect, (c) flower richness in the transect, and (d) whether or not a mass‐flowering crop was flowering in the landscape (N.S., not significant; y‐axes, back‐transformed pollinator densities; points, partial residuals; gray shading, 95% confidence intervals).
Estimated (a) wild bee and (b) hoverfly population sizes at the landscape level (circular area with a radius of 750 m) as a function of habitat quantity (i.e., percent seminatural habitat cover [SNH]) and habitat quality (flower availability) along the observed ranges in the study (Q1–Q20, 5%‐quantile steps in flower availability, where Q1 is the lowest quality and Q20 is the highest quality; arrows, relative direction of improvements; 0 degrees, increasing habitat quality most beneficial; 90 degrees, increasing habitat quantity most beneficial).
The relationship between the habitat quantity to habitat quality population response ratio, the prevalent cover of seminatural habitat (SNH) in the landscape, and the present habitat quality for (a) wild bees (overlapping lines, present flower cover and richness have little to no influence on the ratio) and (b) hoverflies and (c) the same relationships with different step ratios, with one‐step (solid line), 2‐step (dashed line), or 3‐step (dotted line) increase in habitat quality equaling one step of habitat quantity increase (ratios <1, increasing habitat quantity results in stronger population increases; ratios >1, increasing habitat quality is more beneficial). The same step ratios were applied to hoverflies (Appendix S3).
Analyzing the relative importance of habitat quantity and quality for boosting pollinator populations in agricultural landscapes
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June 2024

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To increase pollinator populations, international policy targets minimum levels of seminatural habitat cover, but it is unknown whether improving the quality of existing habitats could bring similar benefits without the need of reducing cropland area. Using data we collected in 26 Italian agricultural landscapes during the entire flying season, we explored the relative importance of habitat quantity (seminatural habitat cover) and quality (flower availability) on pollinator densities in seminatural habitats. We obtained transect‐based counts and estimated the effect of habitat quantity (proportion of seminatural habitat) and quality (flower cover and richness) on wild bee and hoverfly densities. We used the relationships revealed in the data to simulate pollinator population sizes in landscapes with varying habitat quantity and quality. Wild bee densities were only related to flower availability, whereas hoverfly densities were additionally related to seminatural habitat cover. We found that in complex agricultural landscapes (above 15% seminatural habitat cover), improving habitat quality increased pollinator populations more effectively than increasing habitat quantity. However, increasing habitat quantity was by far the most effective approach for boosting pollinator populations in simple landscapes.

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Island restoration to rebuild seabird populations and amplify coral reef functioning

June 2024

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47 Reads

Mobile organisms like seabirds can provide important nutrient flows between ecosystems, but this connectivity has been interrupted by the degradation of island ecosystems. Island restoration (via invasive species eradications and the restoration of native vegetation) can reestablish seabird populations and their nutrient transfers between their foraging areas, breeding colonies, and adjacent nearshore habitats. Its diverse benefits are making island restoration increasingly common and scalable to larger islands and whole archipelagos. We identified the factors that influence breeding seabird abundances throughout the Chagos Archipelago in the Indian Ocean and conducted predictive modeling to estimate the abundances of seabirds that the archipelago could support under invasive predator eradication and native vegetation restoration scenarios. We explored whether the prey base exists to support restored seabird populations across the archipelago, calculated the nitrogen that restored populations of seabirds might produce via their guano, and modeled the cascading conservation gains that island restoration could provide. Restoration was predicted to increase breeding pairs of seabirds to over 280,000, and prey was predicted to be ample to support the revived seabird populations. Restored nutrient fluxes were predicted to result in increases in coral growth rates, reef fish biomasses, and parrotfish grazing and bioerosion rates. Given these potential cross‐ecosystem benefits, our results support island restoration as a conservation priority that could enhance resilience to climatic change effects, such as sea‐level rise and coral bleaching. We encourage the incorporation of our estimates of cross‐ecosystem benefits in prioritization exercises for island restoration.


General structure of the individual‐based model used to simulate individual wolves’ life cycle (Bauduin et al., 2020), hybridization dynamics, and management options (left, 5 main submodels representing the wolf life cycle; right, detailed structure of the change of social status submodel).
Modeling scenarios used to assess the relative efficacy of alternative management interventions to prevent genetic swamping in admixed wolf populations, while accounting for uncertainty in immigration and mate choice behavior. Management and no‐management scenarios are shown only for random mating scenario for figure readability.
(a–d) Prevalence of admixed individuals under different immigration and mate choice scenarios and management interventions (lines, projection over 30 years of annual prevalence averaged across simulation replicates of 50; shaded area, 25th–75th interquartile range). The management scenarios involved only natural mortality.
(a–d) Individuals’ average extent of admixture simulated under different immigration and mate choice scenarios and management interventions (lines, projection over 30 years of annual prevalence averaged across simulation replicates of 50; shaded area, 25th–75th interquartile range). The management scenarios only involved natural mortality.
(a–f) Population composition in terms of recently admixed individuals (i.e., dog genomic content ≥25%), introgressed individuals of later generations of backcross (i.e., dog genomic content >6.25% and <25%), and wolves (dog genomic content <6.25%) over time under different management strategies for the nonadmixed wolf immigration and random mating scenario (lines, projection over 30 years of the abundance of each population category across 50 simulation replicates; shaded area, 25th–75th interquartile range). Management scenarios involved only natural mortality.
Simulating the efficacy of wolf–dog hybridization management with individual‐based modeling

June 2024

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86 Reads

Introgressive hybridization between wolves and dogs is a conservation concern due to its potentially deleterious long‐term evolutionary consequences. European legislation requires that wolf–dog hybridization be mitigated through effective management. We developed an individual‐based model (IBM) to simulate the life cycle of gray wolves that incorporates aspects of wolf sociality that affect hybridization rates (e.g., the dissolution of packs after the death of one/both breeders) with the goal of informing decision‐making on management of wolf–dog hybridization. We applied our model by projecting hybridization dynamics in a local wolf population under different mate choice and immigration scenarios and contrasted results of removal of admixed individuals with their sterilization and release. In several scenarios, lack of management led to complete admixture, whereas reactive management interventions effectively reduced admixture in wolf populations. Management effectiveness, however, strongly depended on mate choice and number and admixture level of individuals immigrating into the wolf population. The inclusion of anthropogenic mortality affecting parental and admixed individuals (e.g., poaching) increased the probability of pack dissolution and thus increased the probability of interbreeding with dogs or admixed individuals and boosted hybridization and introgression rates in all simulation scenarios. Recognizing the necessity of additional model refinements (appropriate parameterization, thorough sensitivity analyses, and robust model validation) to generate management recommendations applicable in real‐world scenarios, we maintain confidence in our model's potential as a valuable conservation tool that can be applied to diverse situations and species facing similar threats.


Identification, spatial distribution, and associated factors of urban protected areas in China

June 2024

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18 Reads

The increasing proximity between protected areas (PAs) and urban areas, which can lead to urban protected areas (UPAs), is now commonplace. Use of Euclidean distance to measure the distance between PAs and cities has not correctly portrayed the spatial relationship between PAs and cities. We devised an isochronous circle model to accurately measure the distance between 2706 national PAs in 5 categories and 2844 cities in China based on human accessibility to identify urban human activity‐influenced protected areas (UHAIPAs) and to quantitatively analyze their distribution patterns and relationships with China's economy, population distribution patterns, and urban development indicators. Most of the PAs in China were established near cities. Of 2746 PAs in China, 18.35% ( n = 504) became UPAs, and 58.27% ( n = 1600), 16.72% ( n = 459), and 3.31% ( n = 91) of PAs were within 0–30, 30–60, and 60–90 min, respectively. Both UPAs and UHAIPAs in China in general exhibited obvious spatial aggregation characteristics (e.g., wetland parks and scenic areas), and there was a significant spatial dependence effect among characteristics. The degree of spatial distribution and aggregation of UPAs was correlated with 16 indicators across urban economic development, urban natural substrate, and urban policy support factors. Based on the results of our study, we call for various governments and scholars to focus on areas where wetland parks and PAs overlap with urban boundaries. It is important to emphasize the potential link between the development of agriculture, forestry, livestock and fisheries industries, and UPAs. Overall, we believe that examining the accessibility of PAs can more accurately measure the distance between PAs and cities, and more realistically reflect the possible impacts of urban human activities on PAs, which is helpful for strengthening the conservation and management of PAs.


FIGURE 3 (a) Protected area (PA) coverage of primates (515 species), (b) forest loss in PAs and within 5 km outside the PA (490 species; ***p < 0.001), (c) number of total publications on primates, (d) number of conservation publications on primates by region (outliers, >75% quantile + 1.5 × interquartile range, excluded; horizontal line, median; whiskers, 25% of interquartile range), and (e) averaged models used to assess the effect of different variables on current conservation status and change in status (303 species) (orange bars, significant effect; blue bars, no significant effect).
Effects of protected area coverage and research on conservation status of primates globally

June 2024

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161 Reads

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Pengfei Fan

Conducting conservation research and establishing protected areas (PAs) based on research results are critical to biodiversity conservation. However, the effect of research and PAs on conservation of threatened species has rarely been evaluated simultaneously. We collected data on PAs from 2000 for 2021 and determined the number of publications on global primates (published from 1950 to 2021) to assess the effect of PAs, research, and biological and socioeconomic factors on the current International Union for Conservation of Nature endangered status and change in status. We used the MCMCglmm package to conduct a phylogenetic comparative analysis to control the phylogenetic relationship of primate species. The status of 24.6% (82 of 333) of species assessed at least twice declined. Only the black lion tamarin ( Leontopithecus chrysopygus ) had an improved status. Species with status declines mostly occurred on the south coast of West Africa and in Madagascar. PAs covered 22.1% of each species’ range. Forest loss in PAs (5.5%) was significantly lower than forest loss within 5 km outside PAs (13.8%), suggesting PAs effectively mitigated forest loss. Both the median number of total publications and conservation publications on critically endangered species were higher than those of other categories. Models showed that PA coverage and number of publications or conservation‐focused publications were not related to current status or change in status over time. A decline in status was not related to creation of PAs or increase of research since the last assessment. Our results suggest that current PAs and research are not reversing the extinction crisis of global primates. Doing more conservation‐oriented research, strengthening management of current PAs, and expanding PAs will be needed to protect primates globally.


Highlighting the importance of biodiversity conservation through the Holy Qur'an

June 2024

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14 Reads

Religious environmentalism relies upon religious texts and leadership to promote effective and long‐lasting change for environmental problems, such as responsible use and conservation of natural resources and biodiversity. World religions note the importance of biodiversity and humanity's responsibility in stewarding biodiversity as a member of ecological communities. We reviewed Quranic verses that relate to biodiversity and align with United Nations Sustainable Development Goals (SDGs). The Holy Quran was reviewed in electronic and hard copy formats, and verses related to biodiversity were translated to English and tabulated by Qur'anic chapter, verse, and narrative citation. Twenty‐one Qur'anic verses were identified that addressed biodiversity. Scriptures were divided into 5 groups that addressed provision of resources, governance or stewardship of resources, nature as a teacher, and human life in nature's communities or described creation of biodiversity. Qur'anic verses were aligned with 4 SDGs (goals 12–15), which address sustainable consumption of natural resources, global climate change, life in marine environments, and life in terrestrial environments, including freshwater ecosystems. This alignment demonstrates the interconnectedness of life, that conservation of biodiversity is referenced in the Quran, and how positive management of natural recourses can be beneficial to Muslim communities on local, national, and global scales. Positive movement toward ecofriendly practices, sound environmental resource use and management, biodiversity conservation, and governmental policies on conservation can be promoted through scriptures from the Holy Qur'an.


Patterns and correlates of potential range shifts of bat species in China in the context of climate change

June 2024

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70 Reads

Climate change may diminish biodiversity; thus, it is urgent to predict how species’ ranges may shift in the future by integrating multiple factors involving more taxa. Bats are particularly sensitive to climate change due to their high surface‐to‐volume ratio. However, few studies have considered geographic variables associated with roost availability and even fewer have linked the distributions of bats to their thermoregulation and energy regulation traits. We used species distribution models to predict the potential distributions of 12 bat species in China under current and future greenhouse gas emission scenarios (SSP1‐2.6 and SSP5‐8.5) and examined factors that could affect species’ range shifts, including climatic, geographic, habitat, and human activity variables and wing surface‐to‐mass ratio (S‐MR). The results suggest that Ia io , Rhinolophus ferrumequinum , and Rhinolophus rex should be given the highest priority for conservation in future climate conservation strategies. Most species were predicted to move northward, except for I. io and R. rex , which moved southward. Temperature seasonality, distance to forest, and distance to karst or cave were the main environmental factors affecting the potential distributions of bats. We found significant relationships between S‐MR and geographic distribution, current potential distribution, and future potential distribution in the 2050s. Our work highlights the importance of analyzing range shifts of species with multifactorial approaches, especially for species traits related to thermoregulation and energy regulation, to provide targeted conservation strategies.


FIGURE 1 Average number of large whale strandings by species per year (+/-SE) along the eastern seaboard of the United States from 1995 to 2022.
FIGURE 2 (a) Location of states along the East Coast of the United States, (b) average number of humpback whale strandings (+/-SE) per year by state prior to 1995−2015 and during the unusual mortality event (UME) (2016−2022), and (c) percent change in humpback whale strandings by state during UME in relative to previous years (1995−2015) (ME, Maine; NH, New Hampshire; MA, Massachusetts; RI, Rhode Island; CT, Connecticut; NY, New York; NJ, New Jersey; DE, Delaware; MD, Maryland; VA, Virginia; NC, North Carolina; SC, South Carolina; GA, Georgia; FL, Florida).
FIGURE 3 (a) Average annual number of humpback whale mortalities, strandings, and serious injuries (MSI) determined to be due to vessel strike or entanglement in fishing gear by season (+/-SE) along the eastern seaboard of the United States in the same 7-year periods as in Figure 1 (the first period represents annual averages from 1995 to 2001 for strandings, but only 2000−2001 for vessel strikes and entanglements due to data availability) and (b) changes in these metrics during the humpback whale unusual mortality event (2016−2022) relative to prior periods (1995−2015 for strandings data and 2000−2015 for vessel strikes and entanglements).
FIGURE 4 Number of humpback whale strandings, and mortalities, and serious injuries determined to be due to vessel strike or entanglement in fishing gear, respectively, by season and state during the ongoing humpback whale unusual mortality event. Due to data availability, the number of strandings reflects data from 2016 to 2022, and the number of mortalities and serious injuries determined to be due to vessel strike or entanglement in fishing gear reflects data from 2016 to 2021. The cause of death can only be determined for a subset of mortalities.
Evaluating drivers of recent large whale strandings on the East Coast of the United States

May 2024

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94 Reads

Anthropogenic stressors threaten large whales globally. Effective management requires an understanding of where, when, and why threats are occurring. Strandings data provide key information on geographic hotspots of risk and the relative importance of various threats. There is currently considerable public interest in the increased frequency of large whale strandings occurring along the US East Coast of the United States since 2016. Interest is accentuated due to a purported link with offshore wind energy development. We reviewed spatiotemporal patterns of strandings, mortalities, and serious injuries of humpback whales ( Megaptera novaeangliae ), the species most frequently involved, for which the US government has declared an “unusual mortality event” (UME). Our analysis highlights the role of vessel strikes, exacerbated by recent changes in humpback whale distribution and vessel traffic. Humpback whales have expanded into new foraging grounds in recent years. Mortalities due to vessel strikes have increased significantly in these newly occupied regions, which show high vessel traffic that also increased markedly during the UME. Surface feeding and feeding in shallow waters may have been contributing factors. We found no evidence that offshore wind development contributed to strandings or mortalities. This work highlights the need to consider behavioral, ecological, and anthropogenic factors to determine the drivers of mortality and serious injury in large whales and to provide informed guidance to decision‐makers.


Quantifying the impacts of future shoreline modification on biodiversity in a case study of coastal Georgia, United States

May 2024

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15 Reads

People often modify the shoreline to mitigate erosion and protect property from storm impacts. The 2 main approaches to modification are gray infrastructure (e.g., bulkheads and seawalls) and natural or green infrastructure (NI) (e.g., living shorelines). Gray infrastructure is still more often used for coastal protection than NI, despite having more detrimental effects on ecosystem parameters, such as biodiversity. We assessed the impact of gray infrastructure on biodiversity and whether the adoption of NI can mitigate its loss. We examined the literature to quantify the relationship of gray infrastructure and NI to biodiversity and developed a model with temporal geospatial data on ecosystem distribution and shoreline modification to project future shoreline modification for our study location, coastal Georgia (United States). We applied the literature‐derived empirical relationships of infrastructure effects on biodiversity to the shoreline modification projections to predict change in biodiversity under different NI versus gray infrastructure scenarios. For our study area, which is dominated by marshes and use of gray infrastructure, when just under half of all new coastal infrastructure was to be NI, previous losses of biodiversity from gray infrastructure could be mitigated by 2100 (net change of biodiversity of +0.14%, 95% confidence interval −0.10% to +0.39%). As biodiversity continues to decline from human impacts, it is increasingly imperative to minimize negative impacts when possible. We therefore suggest policy and the permitting process be changed to promote the adoption of NI.


Assessing the impact of preventative measures to limit the spread of Toxoplasma gondii in wild carnivores of Madagascar

May 2024

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15 Reads

Novel multihost pathogens can threaten endangered wildlife species, as well as humans and domestic animals. The zoonotic protozoan parasite Toxoplasma gondii is transmitted by members of Felidae and can infect a large number of animal species, including humans. This parasite can have significant health consequences for infected intermediate hosts and could further endanger wild carnivore populations of Madagascar. Building on an empirical characterization of the prevalence of the pathogen in local mammals, we used mathematical models of pathogen transmission in a multihost community to compare preventative measures that aim to limit the spread of this parasite in wild carnivores. Specifically, we examined the effect of hypothetical cat vaccination and population control campaigns on reducing the risk of infection by T. gondii in wild Eupleridae. Our model predicted that the prevalence of exposure to T. gondii in cats would be around 72% and that seroprevalence would reach 2% and 43% in rodents and wild carnivores, respectively. Reducing the rodent population in the landscape by half may only decrease the prevalence of T. gondii in carnivores by 10%. Similarly, cat vaccination and reducing the population of definitive hosts had limited impact on the prevalence of T. gondii in wild carnivorans of Madagascar. A significant reduction in prevalence would require extremely high vaccination, low turnover, or both in the cat population. Other potential control methods of T. gondii in endangered Eupleridae include targeted vaccination of wild animals but would require further investigation. Eliminating the threat entirely will be difficult because of the ubiquity of cats and the persistence of the parasite in the environment.


Reframing wildlife disease management problems with decision analysis

May 2024

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61 Reads

Contemporary wildlife disease management is complex because managers need to respond to a wide range of stakeholders, multiple uncertainties, and difficult trade‐offs that characterize the interconnected challenges of today. Despite general acknowledgment of these complexities, managing wildlife disease tends to be framed as a scientific problem, in which the major challenge is lack of knowledge. The complex and multifactorial process of decision‐making is collapsed into a scientific endeavor to reduce uncertainty. As a result, contemporary decision‐making may be oversimplified, rely on simple heuristics, and fail to account for the broader legal, social, and economic context in which the decisions are made. Concurrently, scientific research on wildlife disease may be distant from this decision context, resulting in information that may not be directly relevant to the pertinent management questions. We propose reframing wildlife disease management challenges as decision problems and addressing them with decision analytical tools to divide the complex problems into more cognitively manageable elements. In particular, structured decision‐making has the potential to improve the quality, rigor, and transparency of decisions about wildlife disease in a variety of systems. Examples of management of severe acute respiratory syndrome coronavirus 2, white‐nose syndrome, avian influenza, and chytridiomycosis illustrate the most common impediments to decision‐making, including competing objectives, risks, prediction uncertainty, and limited resources.


Guide for decision‐making for celebrity‐endorsed behavioral interventions in environmental conservation.
Example of how the guide for decision‐making of celebrity‐endorsed behavioral intervention design can inform a theory of change for an intervention that seeks to achieve behavioral change through celebrity endorsement (yellow outline, assumptions in the causal links; green text, steps in Figure 1 that help reduce risk presented by assumptions; step 1, endorser model selection; step 2, celebrity endorser selection; step 3, endorsement strategy development; step 4, communication channels identified; step 5, testing with target audience).
The COM‐B (capability–opportunity–motivation B) model (capability, psychological and physical capacities to enact a behavior; motivation, automatic or reflective brain processes that lead to the behavior; opportunity, social and physical factors from the individual's environment that make the behavior possible) (adapted from West & Michie [2020]).
Value‐proposition‐centered framework to guide celebrity endorsement strategy depicting 5 potential propositions (purple) and their respective celebrity endorsement strategy (yellow) (adapted from Schimmelpfennig & Hunt [2020]).
Comparison of attributes of 4 celebrities considered for intervention to reduce wild meat consumption in Ho Chi Minch City (attributes from celebrity model in Figure 4 [blue]; green, perceptions and images associated with the celebrity; purple, type of food celebrity is associated with).
Designing celebrity‐endorsed behavioral interventions in conservation

May 2024

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54 Reads

The use of celebrity endorsement in environmental conservation interventions aiming to influence human behavior has increased in recent decades. Although good practice in designing, implementing, and evaluating behavioral interventions is outlined in recent publications, guidance on developing conservation interventions with celebrity endorsement remains limited. To fill this gap, we devised a guide for decision‐making relating to celebrity‐endorsed behavioral interventions based on the behavioral, project design, and celebrity endorsement literatures. The guide advises conducting research to understand the behavior system in question; defining endorser selection models and celebrities based on the research; developing an endorsement strategy with the appropriate communication channels; testing the celebrity, channels, and strategy with the target audience and making adjustments as needed; and, finally, evaluating the intervention after implementation. We applied this strategy to a case study, the aim of which was to design a celebrity‐endorsed intervention to reduce consumption of wild meat in Ho Chi Minh City, Vietnam. Following our guide, we found that employing evidence‐based decision‐making substantially enhanced our ability to understand the complexity and potential cost associated with using celebrity endorsements in behavioral interventions.


Evaluating the influence of marine protected areas on surf zone fish

May 2024

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46 Reads

Article impact statement: Marine protected area effects on surf zone fish vary by region, monitoring method, and taxa. Abstract Marine protected areas (MPAs) globally serve conservation and fisheries management goals, generating positive effects in some marine ecosystems. Surf zones and sandy beaches, critical ecotones bridging land and sea, play a pivotal role in the life cycles of numerous fish species and serve as prime areas for subsistence and recreational fishing. Despite their significance, these areas remain understudied when evaluating the effects of MPAs. We compared surf zone fish assemblages inside and outside MPAs across 3 bioregions in California (USA). Using seines and baited remote underwater videos (BRUVs), we found differences in surf zone fish inside and outside MPAs in one region. Inside south region MPAs, we observed higher abundance (Tukey's honest significant difference [HSD] = 0.83, p = 0.0001) and richness (HSD = 0.22, p = 0.0001) in BRUVs and greater biomass (HSD = 0.32, p = 0.0002) in seine surveys compared with reference sites. Selected live-bearing, fished taxa were positively affected by MPAs. Elasmobranchs displayed greater abundance in BRUV surveys and higher biomass in seine surveys inside south region MPAs (HSD = 0.35, p = 0.0003 and HSD = 0.23, p = 0.008, respectively). Although we observed no overall MPA signal for Embiotocidae, abundances of juvenile and large adult barred surfperch (Amphistichus argenteus), the most abundant fished species, were higher inside MPAs (K-S test D = 0.19, p < 0.0001). Influence of habitat characteristics on MPA performance indicated surf zone width was positively associated with fish abundance and biomass but negatively associated with richness. The south region had the largest positive effect size on all MPA performance metrics. Our findings underscored the variability in species richness and composition across regions and survey methods that significantly affected differences observed inside and outside MPAs. A comprehensive assessment of MPA performance should consider specific taxa, their distribution, and the effects of habitat factors and geography.


FIGURE 1 (a) Mangrove loss under each governance type: (b) total percent loss of mangrove cover in each governance type, (c) mangrove loss for each International Union for Conservation of Nature (IUCN) category, and (d) total percent loss of mangrove cover in each IUCN category (IPLC, Indigenous peoples and local communities).
FIGURE 2 Distribution of (a) protected mangrove areas by governance type, (b) protected mangrove areas by International Union for Conservation of Nature (IUCN) protected area category, (c) the main human driver of mangrove loss for each protected area, and (d) the main natural driver of mangrove loss for each protected area.
FIGURE 3 Percent (a) human-driven loss and (b) naturally driven loss of mangroves in individual protected areas in each International Union for Conservation of Nature (IUCN) protected area category by governance type (IPLC, indigenous peoples and local communities).
FIGURE 4 Mangrove loss as a percentage of total mangrove loss in each region for individual loss drivers by (a) each governance type and (b) each International Union for Conservation of Nature (IUCN) protected area category (IPLC, indigenous peoples and local communities).
Global drivers of mangrove loss in protected areas

May 2024

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74 Reads

Despite increasing efforts and investment in mangrove conservation, mangrove cover continues to decline globally. The extent to which protected area (PA) management effectively prevents mangrove loss globally across differing management objectives and governance types is not well understood. We combined remote sensing data with PA information to identify the extent and the drivers of mangrove loss across PAs with distinct governance types and protection levels based on categories developed by the International Union for Conservation of Nature (IUCN). Mangrove loss due to storms and erosion was prevalent across all governance types and most IUCN categories. However, the extent of human‐driven loss differed across governance types and IUCN categories. Loss was highest in national government PAs. Private, local, shared arrangement, and subnational government agencies had low human‐driven mangrove loss. Human‐driven loss was highest in PAs with the highest level of restrictions on human activities (IUCN category I) due to mangrove conversion to areas for commodity production (e.g., aquaculture), whereas PAs that allowed sustainable resource use (e.g., category VI) experienced low levels of human‐driven mangrove loss. Because category I PAs with high human‐driven loss were primarily governed by national government agencies, conservation outcomes in highly PAs might depend not only on the level of restrictions, but also on the governance type. Mangrove loss across different governance types and IUCN categories varied regionally. Specific governance types and IUCN categories thus seemed more effective in preventing mangrove loss in certain regions. Overall, we found that natural drivers contributed to global mangrove loss across all PAs, whereas human‐driven mangrove loss was lowest in PAs with subnational‐ to local‐level governance and PAs with few restrictions on human activities.


FIGURE 1 Spatial distribution of the release areas of virtual drifting fish aggregating devices (dFADs) throughout the equatorial Pacific in the drift trajectory simulations, including the equatorial zones (EZs) used in scenario 1 (dark blue rectangles 1-16) and the dFAD zones (FZs) used in scenario 2 corresponding to 1 • cells included in the main dFAD deployments areas (light blue cells) and main dFAD densities areas (black crosses) (black line, boundary between the WCPFC [Western and Central Pacific Fisheries Commission] and IATTC [Inter-American Tropical Tuna Commission] convention areas; hatched region, overlapping areas of the conventions).
FIGURE 2 Spatial distribution of sea turtle habitat (turtle zones [TZs]) used in the simulations of drifting fish aggregating devices trajectories and corresponding to important oceanic areas (blue) for leatherback turtles and coastal areas for leatherback foraging (dark green), leatherback nesting and foraging (medium green, except for Mexico [MX], nesting only), hawksbill nesting and foraging (orange), and leatherback and hawksbill nesting and foraging (light green) (KE, Kuroshio Extension; EEP, Equatorial Eastern Pacific; CCE, California Current Ecosystem; IND, Indonesia; MHI, main Hawaiian Islands; PNG, Papua New Guinea; SB, Solomon Islands; CR-NG, Costa Rica-Nicaragua; EP, Eastern Pacific).
FIGURE 3 Time-integrated spatial probability density for virtual fish aggregating device particles deployed, evenly across the equatorial region (scenario 1) in the (a, c, e) Western and Central Pacific Ocean (equatorial zones 1−4 and 9−12) and the (b, d, f) Eastern Pacific Ocean (equatorial zones 5−8 and 13−16) during the three combined El Niño-Southern Oscillation periods considered and over three drifting periods after deployment (blue rectangles, oceanic areas for leatherback turtles; dark green rectangle, coastal areas for leatherback foraging; medium green rectangles, leatherback nesting and foraging area; orange polygon, hawksbill nesting and foraging area; light green rectangle, leatherback and hawksbill nesting and foraging).
FIGURE 5 Percent connectivity matrix of virtual fish aggregating device (vFAD) particles in the simulation during the three El Niño-Southern Oscillation periods considered combined from scenario 2 in which vFADs were seeded in known dFAD zones (FZs; Depl, high-deployment area; Dens, high-density area [rows] within 3, 12, or 24 months [subcolumns]) (cell colors, proportion of simulated particles arriving in each turtle zone by drift time increases with increasing intensity; other, locations outside the specified turtle zone; WCPO, Western and Central Pacific Ocean; EPO, Eastern Pacific Ocean).
FIGURE 6 Main drifting fish aggregating device (dFAD) drift patterns (blue arrows) and areas of purse seiner and sea turtle interactions (green polygons) based on knowledge shared by purse-seine fishers fishing in
Simulating drifting fish aggregating device trajectories to identify potential interactions with endangered sea turtles

May 2024

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118 Reads

Purse‐seine fishers using drifting fish aggregating devices (dFADs), mainly built with bamboo, plastic buoys, and plastic netting, to aggregate and catch tropical tuna, deploy 46,000–65,000 dFADs per year in the Pacific Ocean. Some of the major concerns associated with this widespread fishing device are potential entanglement of sea turtles and other marine fauna in dFAD netting; marine debris and pollution; and potential ecological damage via stranding on coral reefs, beaches, and other essential habitats for marine fauna. To assess and quantify the potential connectivity (number of dFADs deployed in an area and arriving in another area) between dFAD deployment areas and important oceanic or coastal habitat of critically endangered leatherback ( Dermochelys coriacea ) and hawksbill ( Eretmochelys imbricata ) sea turtles in the Pacific Ocean, we conducted passive‐drift Lagrangian experiments with simulated dFAD drift profiles and compared them with known important sea turtle areas. Up to 60% of dFADs from equatorial areas were arriving in essential sea turtle habitats. Connectivity was less when only areas where dFADs are currently deployed were used. Our simulations identified potential regions of dFAD interactions with migration and feeding habitats of the east Pacific leatherback turtle in the tropical southeastern Pacific Ocean; coastal habitats of leatherback and hawksbill in the western Pacific (e.g., archipelagic zones of Indonesia, Papua New Guinea, and Solomon Islands); and foraging habitat of leatherback in a large equatorial area south of Hawaii. Additional research is needed to estimate entanglements of sea turtles with dFADs at sea and to quantify the likely changes in connectivity and distribution of dFADs under new management measures, such as use of alternative nonentangling dFAD designs that biodegrade, or changes in deployment strategies, such as shifting locations.


Interspecies conflict, precarious reasoning, and the gull problem in the Gulf of Maine

May 2024

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15 Reads

Contemporary conservation science requires mediating conflicts among nonhuman species, but the grounds for favoring one species over another can be unclear. We examined the premises through which wildlife managers picked sides in an interspecies conflict: seabird conservation in the Gulf of Maine (GOM). Managers in the GOM follow a simple narrative dubbed the gull problem . This narrative assumes Larus gulls are overpopulated and unnatural in the region. In turn, these assumptions make gulls an easy target for culling and lethal control when the birds come into conflict with other seabirds, particularly Sterna terns. Surveying historical, natural historical, and ecological evidence, we found no scientific support for the claim that Larus gulls are overpopulated in the GOM. Claims of overpopulation originated from a historical context in which rising gull populations became a nuisance to humans. Further, we found only limited evidence that anthropogenic subsidies make gulls unnatural in the region, especially when compared with anthropogenic subsidies provided for other seabirds. The risks and consequences of leveraging precarious assumptions include cascading plans to cull additional gull populations, obfuscation of more fundamental environmental threats to seabirds, and the looming paradox of gull conservation—even if one is still inclined to protect terns in the GOM. Our close look at the regional history of a conservation practice thus revealed the importance of not only conservation decisions, but also conservation decision‐making.


Exposure of wetlands important for nonbreeding waterbirds to sea-level rise in the Mediterranean

May 2024

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226 Reads

Sea-level rise (SLR) is expected to cause major changes to coastal wetlands, which are among the world's most vulnerable ecosystems and are critical for nonbreeding waterbirds. Because strategies for adaptation to SLR, such as nature-based solutions and designation of protected areas, can locally reduce the negative effects of coastal flooding under SLR on coastal wetlands, it is crucial to prioritize adaptation efforts, especially for wetlands of international importance for biodiversity. We assessed the exposure of coastal wetlands important for nonbreeding waterbirds to projected SLR along the Mediterranean coasts of 8 countries by modeling future coastal flooding under 7 scenarios of SLR by 2100 (from 44-to 161-cm rise) with a static inundation approach. Exposure to coastal flooding under future SLR was assessed for 938 Mediterranean coastal sites (≤30 km from the coastline) where 145 species of nonbreeding birds were monitored as part of the International Waterbird Census and for which the monitoring area was delineated by a polygon (64.3% of the coastal sites monitored in the Mediterranean region). Thirty-four percent of sites were threatened by future SLR, even under the most optimistic scenarios. Protected study sites and study sites of international importance for waterbirds were, respectively, 1.5 and 2 times more exposed to SLR than the other sites under the most optimistic scenario. Accordingly, we advocate for the development of a prioritization scheme to be applied to these wetlands for the implementation of strategies for adaptation to SLR to anticipate the effects of coastal flooding. Our study provides major guidance for conservation planning under global change in several countries of the Mediterranean region.


Establishing a protected area network in Xinlong with other effective area-based conservation measures

May 2024

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91 Reads

Article impact statement: Harnessing other effective area-based conservation measures effectively augments biodiversity conservation capacity. Abstract Protected areas (PAs) are pivotal to biodiversity conservation, yet their efficacy is compromised by insufficient funding and management. So-called other effective area-based conservation measures (OECMs) present a paradigm shift and address PA limitations. Such measures can expand conservation areas, enhance connectivity, and improve the existing system. To assess the conservation status of biodiversity in Tibetan cultural areas in China, we investigated the spatial distribution of wildlife vulnerable to human disturbance (large-and medium-sized mammals and terrestrial birds) in Xinlong, a traditional Tibetan cultural area. In particular, we compared a PA (Xionglongxi Nature Reserve) and OECMs targeting species conservation. We also investigated the relationship of wildlife with human temporal and spatial activities. The OECMs complemented areas not covered by PA, especially in rich understory biodiversity regions. More species in OECMs tolerated human presence than species in the PA. Existing biodiversity reserves failed to cover areas of high conservation value in Tibet and offered limited protection capacity. Expanding PAs and identifying OECMs improved Xinlong's system by covering most biodiversity hotspots. Building on the tradition of wildlife conservation in Tibet, harnessing OECMs may be an effective means of augmenting biodiversity conservation capacity. We recommend further evaluation of OECMs effectiveness and coverage in Tibetan area as a way to enhance the current PA system.


Assessing the response of marine fish communities to climate change and fishing

May 2024

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42 Reads

ENTHIS LINK GOES TO A ENGLISH SECTIONESTHIS LINK GOES TO A SPANISH SECTIONZHTHIS LINK GOES TO A SPANISH SECTION Globally, marine fish communities are being altered by climate change and human disturbances. We examined data on global marine fish communities to assess changes in community-weighted mean temperature affinity (i.e., mean temperatures within geographic ranges), maximum length, and trophic levels, which, respectively, represent the physiological, morphological, and trophic characteristics of marine fish communities. Then, we explored the influence of climate change and fishing on these characteristics because of their long-term role in shaping fish communities, especially their interactive effects. We employed spatial linear mixed models to investigate their impacts on community-weighted mean trait values and on abundance of different fish lengths and trophic groups. Globally, we observed an initial increasing trend in the temperature affinity of marine fish communities, whereas the weighted mean length and trophic levels of fish communities showed a declining trend. However, these shift trends were not significant, likely due to the large variation in midlatitude communities. Fishing pressure increased fish communities’ temperature affinity in regions experiencing climate warming. Furthermore, climate warming was associated with an increase in weighted mean length and trophic levels of fish communities. Low climate baseline temperature appeared to mitigate the effect of climate warming on temperature affinity and trophic levels. The effect of climate warming on the relative abundance of different trophic classes and size classes both exhibited a nonlinear pattern. The small and relatively large fish species may benefit from climate warming, whereas the medium and largest size groups may be disadvantaged. Our results highlight the urgency of establishing stepping-stone marine protected areas to facilitate the migration of fishes to habitats in a warming ocean. Moreover, reducing human disturbance is crucial to mitigate rapid tropicalization, particularly in vulnerable temperate regions.


FIGURE 2 Relationships between selected variables and mean price (US$) (log 10 scale) at first sale for sharks landed across Kenya and Zanzibar in 2016-2017: (a) species (SE), (b) iron concentration, (c) vitamin A concentration, (d) zinc concentration, (e) generation time, (f) mean individual weight, and (g) International Union for Conservation of Nature (IUCN) Red List status (Th, critically endangered [CR], endangered [EN], or vulnerable [VU]; Nt, near threatened [NT] or least concern [LC]). Sphyrna lewini catches were mainly young of the year.
FIGURE 3 Relationships between selected variables and mean weight-standardized price (US$) (log 10 scale) at first sale for sharks landed across Kenya and Zanzibar from 2016 to 2017: (a) species (SE) (gray shading, 25th, 50th [median], and 75th quantiles); (b) zinc concentration, (c) generation time, and (d) weight. Sphyrna lewini catches were mainly young of the year.
FIGURE 4 Effects of market drivers on mean (SE) shark prices at first sale across Kenya and Zanzibar in 2016-2017 by (a) month and (b) sale location, and mean (SE) weight-standardized price at first sale for sharks by (c) month and (d) sale location. The y-axes are on the log 10 scale.
FIGURE 5 Economic value of Kenya and Zanzibar's shark fishery in 2016-2017: (a) total value by species (95% confidence interval); (b) price at first sale (SE) relative to total value; contribution of species to total fishery value (95% confidence interval) by (c) International Union for Conservation of Nature (IUCN) Red List status and (d) price at first sale category (price bins, approximate quantiles of mean species values); and mean proportional contribution (e) of shark-like and ray species to the total fishery value and by IUCN Red List status to the total fishery value of (f) shark-like and (g) ray species.
FIGURE 6 Estimated nutrient contribution for human consumption from shark fisheries in Kenya and Zanzibar from 2016 to 2017: (a) number of people whose annual dietary recommended intakes (DRIs) of micronutrients could be met by the shark fisheries and (b) percentage of nutrient contribution by International Union for Conservation of Nature (IUCN) Red List status (micronutrients provided by the shark fishery).
Linking extinction risk to the economic and nutritional value of sharks in small-scale fisheries

May 2024

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142 Reads

To achieve sustainable shark fisheries, it is key to understand not only the biological drivers and environmental consequences of overfishing, but also the social and economic drivers of fisher behavior. The extinction risk of sharks is highest in coastal tropical waters, where small‐scale fisheries are most prevalent. Small‐scale fisheries provide a critical source of economic and nutritional security to coastal communities, and these fishers are among the most vulnerable social and economic groups. We used Kenya's and Zanzibar's small‐scale shark fisheries, which are illustrative of the many data‐poor, small‐scale shark fisheries worldwide, as case studies to explore the relationship between extinction risk and the economic and nutritional value of sharks. To achieve this, we combined existing data on shark landings, extinction risk, and nutritional value with sales data at 16 key landing sites and information from interviews with 476 fishers. Shark fisheries were an important source of economic and nutritional security, valued at >US$4 million annually and providing enough nutrition for tens of thousands of people. Economically and nutritionally, catches were dominated by threatened species (72.7% and 64.6–89.7%, respectively). The most economically valuable species were large and slow to reproduce (e.g. mobulid rays, wedgefish, and bull, silky, and mako sharks) and therefore more likely to be threatened with extinction. Given the financial incentive and intensive fishing pressure, small‐scale fisheries are undoubtedly major contributors to the decline of threatened coastal shark species. In the absence of effective fisheries management and enforcement, we argue that within small‐scale fisheries the conditions exist for an economically incentivized feedback loop in which vulnerable fishers are driven to persistently overfish vulnerable and declining shark species. To protect these species from extinction, this feedback loop must be broken.


FIGURE 2 Distribution of the difference in average sea surface temperature ( • C) between 2000-2020 and 2045-2055 at (a) known and (b) monitored colonies of Arctic black-legged kittiwake and (c) score of the variable at each colony (dark blue, strongly overrepresented; yellow, strongly underrepresented; projection, North Pole Lambert Azimuthal Equal Area). In panel (b), distribution of the variable at monitored colonies is weighted by the calculated monitoring index. Other variables are in Appendices S5-S17.
FIGURE 3 Suitability index values (0, low potential to improve the network; 1, high potential) for (a) unmonitored and (b) monitored colonies of Arctic black-legged kittiwake (the larger the point size, the higher the level of monitoring). The index includes environmental and accessibility factors that account for ecological representativeness and logistic aspects and that can be used to assess and improve monitoring in the network.
An ecologically sound and participatory monitoring network for pan-Arctic seabirds

May 2024

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91 Reads

In a warming Arctic, circumpolar long-term monitoring programs are key to advancing ecological knowledge and informing environmental policies. Calls for better involvement of Arctic peoples in all stages of the monitoring process are widespread, although such transformation of Arctic science is still in its infancy. Seabirds stand out as ecological sentinels of environmental changes, and priority has been given to implement the Circum-polar Seabird Monitoring Plan (CSMP). We assessed the representativeness of a pan-Arctic seabird monitoring network focused on the black-legged kittiwake (Rissa tridactyla) by comparing the distribution of environmental variables for all known versus monitored colonies. We found that with respect to its spatiotemporal coverage, this monitoring network doesnot fully embrace current and future environmental gradients. To improve the current scheme, we designed a method to identify colonies whose inclusion in the monitoring net-work will improve its ecological representativeness, limit logistical constraints, and improve involvement of Arctic peoples. We thereby highlight that inclusion of study sites in theBering Sea, Siberia, western Russia, northern Norway, and southeastern Greenland could improve the current monitoring network and that their proximity to local populations might allow increased involvement of local communities. Our framework can be applied to improve existing monitoring networks in other ecoregions and sociological contexts.


FIGURE 1 Areas of very extensive pasture, conservation management, and abandoned land in the baseline (a), and in 2080 across the simulated RCP-SSP (representative concentration pathways-shared socioeconomic pathways) scenarios: RCP2.6-SSP1 (b), RCP4.5-SSP2 (c), RCP4.5-SSP4 (d), RCP6.0-SSP3 (e), RCP8.5-SSP2 (f), RCP8.5-SSP5 (g).
FIGURE 2 Rewilding potential areas (RPAs) across RCP-SSP (representative concentration pathways-shared socioeconomic pathways) simulations. The RPAs are represented by conservation management and unmanaged land in model results (very extensive pasture areas not shown). The heatmap was constructed by adding the number of times each cell is in one of these categories by 2080 across the 6 scenarios. Color opacity increases as elevation increases to highlight topography.
FIGURE 3 Areas of very extensive pasture, conservation, and abandoned land for each RCP-SSP (representative concentration pathways-shared socioeconomic pathways) scenario in 2080. Results for 2040 are in File S1.
FIGURE 4 Coverage of ancient woodland and peat (classified as of base year) in rewilding potential areas (conservation and abandoned land) and very extensive pastoral areas in 2080 across RCP-SSP (representative concentration pathways-shared socioeconomic pathways) scenarios. Results for 2040 are in File S1.
FIGURE 5 The coverage of current and potential wetlands in rewilding potential areas (conservation and abandoned land) and very extensive pastoral areas in 2080 across RCP-SSP (representative concentration pathways-shared socioeconomic pathways) scenarios and across 4 different wetland data sets (LCM, land cover map 2015 [UK Centre for Ecology & Hydrology, 2016]; EUNIS, ecosystem types of Europe 3.1 [European Environment Agency, 2019a]; CORINE, CLC 2012 Accounting layer 20 [European Environment Agency, 2019b]; HRL, Copernicus High Resolution layer, Water & Wetness 2015 [Copernicus Programme, 2018]). Further details and results for 2040 are in File S1.
An assessment of future rewilding potential in the United Kingdom

May 2024

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103 Reads

Restoring ecosystems is an imperative for addressing biodiversity loss and climate change, and achieving the targets of the Kunming–Montreal Global Biodiversity Framework. One form of restoration, rewilding, may have particular promise but may also be precluded by requirements for other forms of land use now or in the future. This opportunity space is critical but challenging to assess. We explored the potential area available for rewilding in Great Britain until the year 2080 with a multisectoral land‐use model with several distinct climatic and socioeconomic scenarios. By 2080, areas from 5000 to 7000 km ² were either unmanaged or managed in ways that could be consistent with rewilding across scenarios without conflicting with the provision of ecosystem services. Beyond these areas, another 24,000–42,000 km ² of extensive upland management could provide additional areas for rewilding if current patterns of implementation hold in the future. None of these areas, however, coincided reliably with ecosystems of priority for conservation: peatlands, ancient woodlands, or wetlands. Repeatedly, these ecosystems were found to be vulnerable to conversion. Our results are not based on an assumption of support for or benefits from rewilding and do not account for disadvantages, such as potential losses of cultural landscapes or traditional forms of management, that were beyond the modeled ecosystem services. Nevertheless, potential areas for rewilding emerge in a variety of ways, from intensification elsewhere having a substantial but inadvertent land‐sparing effect, popular demand for environmental restoration, or a desire for exclusive recreation among the wealthy elite. Our findings therefore imply substantial opportunities for rewilding in the United Kingdom but also a need for interventions to shape the nature and extent of that rewilding to maintain priority conservation areas and societal objectives.


Building pondscapes for amphibian metapopulations

May 2024

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150 Reads

The success of ponds constructed to restore ecological infrastructure for pond‐breeding amphibians and benefit aquatic biodiversity depends on where and how they are built. We studied effects of pond and landscape characteristics, including connectivity, on metapopulation dynamics of 12 amphibian species in Switzerland. To understand the determinants of long‐term occupancy (here summarized as incidence), environmental effects on both colonization and persistence should be considered. We fitted dynamic occupancy models to 20 years of monitoring data on a pond construction program to quantify effects of pond and landscape characteristics and different connectivity metrics on colonization and persistence probabilities in constructed ponds. Connectivity to existing populations explained dynamics better than structural connectivity metrics, and simple metrics (distance to the nearest neighbor population, population density) were useful surrogates for dispersal kernel‐weighted metrics commonly used in metapopulation theory. Population connectivity mediated the persistence of conservation target species in new ponds, suggesting source–sink dynamics in newly established populations. Population density captured this effect well and could be used by practitioners for site selection. Ponds created where there were 2–4 occupied ponds within a radius of ∼0.5 km had >3.5 times higher incidence of target species (median) than isolated ponds. Species had individual preferences regarding pond characteristics, but breeding sites with larger (≥100 m ² ) total water surface area, that temporarily dried, and that were in surroundings with maximally 50% forest benefitted multiple target species. Pond diversity will foster amphibian diversity at the landscape scale.


Integrating socioeconomic and ecological data into restoration practice

May 2024

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46 Reads

Driven by the United Nations Decade on Restoration and international funding initiatives, such as the Mangrove Breakthrough, investment in mangrove restoration is expected to increase. Yet, mangrove restoration efforts frequently fail, usually because of ad hoc site‐selection processes that do not consider mangrove ecology and the socioeconomic context. Using decision analysis, we developed an approach that accounts for socioeconomic and ecological data to identify sites with the highest likelihood of mangrove restoration success. We applied our approach in the Biosphere Reserve Marismas Nacionales Nayarit, Mexico, an area that recently received funding for implementing mangrove restoration actions. We identified 468 potential restoration sites, assessed their restorability potential based on socioeconomic and ecological metrics, and ranked sites for implementation with spatial optimization. The metrics we used included favorable conditions for propagules to establish and survive under sea‐level rise, provision of ecosystem services, and community dynamics. Sites that were selected based on socioeconomic or ecological metrics alone had lower likelihood of mangrove restoration success than sites that were selected based on integrated socioeconomic and ecological metrics. For example, selecting sites based on only socioeconomic metrics captured 16% of the maximum attainable value of functioning mangroves able to provide propagules to potential restoration sites, whereas selecting sites based on ecological and socioeconomic metrics captured 46% of functioning mangroves. Our approach was developed as part of a collaboration between nongovernmental organizations, local government, and academics under rapid delivery time lines given preexisting mangrove restoration implementation commitments. The systematic decision process we used integrated socioeconomic and ecological considerations even under short delivery deadlines, and our approach can be adapted to help mangrove restoration site‐selection decisions elsewhere.


Global drivers of the conservation-invasion paradox

May 2024

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194 Reads

Article impact statement: A global picture of the conservation-invasion paradox would help threatened species' conservation and invasive species management. Abstract The conservation-invasion paradox (CIP) refers to a long-term phenomenon wherein species threatened in their native range can sustain viable populations when introduced to other regions. Understanding the drivers of CIP is helpful for conserving threatened species and managing invasive species, which is unfortunately still lacking. We compiled a global data set of 1071 introduction events, including 960 CIP events (successful establishment of threatened species outside its native range) and 111 non-CIP events (unsuccessful establishment of threatened species outside its native range after introduction), involving 174 terrestrial vertebrates. We then tested the relative importance of various predictors at the location, event, and species levels with generalized linear mixed models and model averaging. Successful CIP events occurred across taxonomic groups and biogeographic realms, especially for the mammal group in the Palearctic and Australia. Locations of successful CIP events had fewer native threat factors, especially less climate warming in invaded regions. The probability of a successful CIP event was highest when species introduction efforts were great and there were more local congeners and fewer natural enemies. These results can inform threatened species ex situ conservation and non-native invasive species mitigation.


Journal metrics


6.3 (2022)

Journal Impact Factor™


20%

Acceptance rate


12.1 (2022)

CiteScore™


15 days

Submission to first decision


$3,240 / £2,160 / €2,710 EUR

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