Conservation Biology最新文献

{"title":"Use of drone-derived high-resolution elevation data to improve species distribution models for a primate in mountainous areas.","authors":"Ke Wen, Yang Luo, Zhenya Rao, Ankang Wu, Qingchuan Song, Yanyan Zhao, Yubiao Lyu, Qixian Zou, Minhao Chen, Kefeng Niu, Aiwu Jiang, Shuangling Wang","doi":"10.1111/cobi.70274","DOIUrl":"10.1111/cobi.70274","url":null,"abstract":"<p><p>Accurate models of species distributions in mountainous ecosystems are essential for effective conservation, yet reliance on open‑access medium‑resolution elevation products often obscures fine-scale habitat heterogeneity critical for wildlife. We evaluated whether high-resolution digital surface models (DSMs) (≤1 m) based on data from an unmanned aerial vehicle (UAV) enhanced species distribution models (SDMs) relative to medium‑resolution satellite-based ALOS World 3D (AW3D) DSMs (≥30 m) for François' langur (Trachypithecus francoisi). This endangered primate represents an ideal focal species for evaluating SDM performance because its habitat consists of topographically complex karst mountains. Using a systematic comparative framework, we built 290 random forest SDMs across multiple spatial resolutions (3-150 m) and sample sizes (30-122 occurrence records). We assessed model accuracy with the area under the receiver operating characteristic curve (AUC-ROC) and the area under the precision-recall curve (AUC-PR). The UAV DSM improved model performance across all metrics, particularly identification of microhabitat. Performance improvements were scale dependent and most pronounced at fine spatial resolutions of 3-10 m. Improvement was less at coarser resolutions above 100 m, where topographic aggregation reduced fine-feature discrimination. The UAV-based models were more accurate than AW3D-based models even with fewer presence records, indicating greater robustness in data-limited mountainous surveys. Slope-related predictors derived from UAV DSM were more important than those derived from AW3D DSM, suggesting that high-resolution elevation data more effectively resolve terrain features relevant to species habitat selection. The UAV DSM showed wildlife corridors in steep terrain that did not appear in the AW3D DSM. Given that contemporary conservation planning in mountainous protected areas predominantly relies on medium-resolution elevation data, we recommend implementing UAV structure from motion photogrammetry as a cost-effective approach for generating detailed elevation data to enhance biodiversity management in topographically complex landscapes.</p>","PeriodicalId":10689,"journal":{"name":"Conservation Biology","volume":" ","pages":"e70274"},"PeriodicalIF":5.2,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13392732/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147670804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measuring maternal line selection driven by differential survival in ex situ collections for plant conservation.","authors":"Rebecca Sucher, Taylor AuBuchon-Elder, Georgia Thomas, Maura Collins, Allison Rea, Lauren Martin, Iván Jiménez","doi":"10.1111/cobi.70350","DOIUrl":"10.1111/cobi.70350","url":null,"abstract":"<p><p>Ex situ plant collections may be increasingly needed to protect representative samples of threatened or rare species and provide plant material for conservation translocation. A primary problem in these ex situ collections is loss of intraspecific variation due to plant death. Different management actions would be required depending on whether such loss results from demographic stochasticity or selection. We developed a method to test for maternal line selection according to provenance, given that maternal line and provenance serve as convenient and important partitions of the intraspecific variation represented in ex situ plant collections. The method tests for provenance selection (i.e., the differential survival of plants in maternal lines sourced from different geographic regions) and opportunity for selection within provenances (i.e., differential survival among plants in maternal lines sourced from the same geographic region). We used data from an ex situ collection of 243 saplings sourced from eight provenance regions and 42 maternal lines of Arkansas oak (Quercus arkansana), a vulnerable tree species restricted to small, scattered populations. We found no statistically significant provenance selection or opportunity for selection among the maternal lines during a 10.5-month period, despite low overall survival rate (0.531) and large variation in survival rate among provenances (0.250-0.833) and maternal lines (0-1). By distinguishing survival patterns expected solely under demographic stochasticity from those likely resulting from selection, our method can be used to inform management of a wide range of ex situ collections for plant conservation.</p>","PeriodicalId":10689,"journal":{"name":"Conservation Biology","volume":" ","pages":"e70350"},"PeriodicalIF":5.2,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13392728/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148374789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating traditional practices, livelihoods, and conservation with Indigenous-led furbearer camera trapping.","authors":"Kathleen A Carroll, Fabian Grey, Nicholas Anderson, Nelson Anderson, Jason T Fisher","doi":"10.1111/cobi.70290","DOIUrl":"10.1111/cobi.70290","url":null,"abstract":"<p><p>Contemporary conservation goals have a greater chance of success when practitioners collaborate with Indigenous communities. The importance of such collaborations has spurred calls by Western and Indigenous researchers to engage in equitable coproduction of ecological research that integrates multiple ways of knowing. However, Indigenous-led conservation research is exceedingly rare. We conducted a case study, applicable globally, in which an Indigenous community experiencing intense industrial resource extraction used Indigenous knowledge and Western science to examine the impacts on species highly valued by the community, namely, furbearing mesocarnivores. Unique knowledge offered by elders and the community suggested rapid declines in many formerly abundant species. Together, we used camera trapping and statistical modeling to investigate the relative abundance of and response to disturbance in lynx (Lynx canadensis), red fox (Vulpes vulpes), marten (Martes americana), and fisher (Pekania pennanti) in north-central Alberta. Low species abundance presented analytical challenges, necessitating pooling species. Several industrial features were associated with (small) increased relative abundance of furbearers (β range 0.12 to 0.30), whereas several others were associated with negative abundance of furbearers (β range -0.25 to -0.64). As Indigenous communities globally face such industrial pressures, we illustrate how Indigenous-led research design, hypotheses, data collection, and interpretation, coupled with statistical ecological data analysis, can inform pressing conservation decisions. Indigenous Peoples face ongoing challenges accessing essential traditional resources because declining ecosystem functioning is directly linked to Indigenous well-being. Overall, successful conservation and stewardship are often best achieved through such Indigenous-led partnerships that address the joint goals of Indigenous livelihoods and conservation.</p>","PeriodicalId":10689,"journal":{"name":"Conservation Biology","volume":" ","pages":"e70290"},"PeriodicalIF":5.2,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13392795/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147721946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Constructed value of information with iterative scoring and parametric uncertainty to identify management-relevant research priorities for a declining raptor species.","authors":"Kristin P Davis, Mitchell J Eaton, Emily R Bjerre, Hillary M White, Clint W Boal, Jennifer H Herner-Thogmartin, Orin J Robinson, Abigail J Lawson","doi":"10.1111/cobi.70227","DOIUrl":"10.1111/cobi.70227","url":null,"abstract":"<p><p>Constructed value of information (CVoI) is an expert elicitation decision-analytic tool used to prioritize sources of uncertainty based on their potential to improve decision outcomes if resolved. Despite increased application of CVoI, the robustness of CVoI prioritization of sources of uncertainty relative to differences in expert elicitation and scoring methods has not been evaluated. We engaged a group of species experts in a decision-analytic process to elicit uncertainties, framed as alternative hypotheses, about current population declines of the American kestrel (Falco sparverius) in the United States. Participants scored 13 hypotheses across 3 CVoI criteria, which are defined as constructed scales. Rather than experts selecting a single score per criterion, we used a likelihood point method to incorporate parametric uncertainty in the scoring process, in which experts were given 100 points to distribute across possible score categories within the criterion-specific constructed scale. Experts provided scores over 2 scoring rounds, with an opportunity to review and discuss initial scores between rounds. We used a Shannon entropy calculation to quantify how evenly participants allotted their points. We used simulation to evaluate the robustness of our prioritization results relative to a scoring method in which participants selected a single score category for each criterion. Participants often spread their points across 2 adjacent scores, reflecting parametric uncertainty. For one third of the hypothesis-scoring round combinations, the prioritization results differed in approximately 50% of simulations. The highest scoring hypotheses related to how the use of artificial versus natural nest cavities affects fecundity or survival, whether winter roosting sites are a limiting factor for population growth, and whether gamebird habitat management may benefit kestrel populations. Our CVoI prioritization framework can be used to develop collaborative research that is directly relevant to a management decision and is an advance in eliciting more representative expert beliefs.</p>","PeriodicalId":10689,"journal":{"name":"Conservation Biology","volume":" ","pages":"e70227"},"PeriodicalIF":5.2,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13392694/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146178084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Combining detection dogs with air extraction methodology to expose wildlife trafficking in containerized cargo.","authors":"Georgia Kate Moloney, Nellie May Shute, Gabrielle Grace Brien, John Moloney, Anne-Lise Chaber","doi":"10.1111/cobi.70225","DOIUrl":"10.1111/cobi.70225","url":null,"abstract":"<p><p>Persistent demand for wildlife-derived products perpetuates international trafficking and the exploitation of legitimate globalized transport networks. The annual movement of millions of shipping cargo containers, of which few are inspected due to resource constraints, facilitates the smuggling of large quantities of wildlife contraband. Rapid, noninvasive screening tools are essential for border control agencies to effectively detect and intercept wildlife trafficking attempts, though such tools are currently limited. Detection dog programs could be highly effective in this context; however, their capacity to screen large volumes of cargo without disrupting port operations remains a challenge. We explored the feasibility of pairing an air extraction device, which samples air from sealed containers, with canine detection to improve screening measures. To evaluate this method, we used pelts from adult specimens of the African lion (Panthera leo), cheetah (Acinonyx jubatus), leopard (Panthera pardus), snow leopard (Panthera uncia), and tiger (Panthera tigris) concealed in containers to simulate smuggling scenarios. On average across the container configurations trialed, the detection dog achieved high diagnostic sensitivity (97.6%, 95% CI 95.1-100.0) and specificity (84.8%, 95% CI 79.1-90.6). Detection accuracy was not significantly influenced by airflow conditions (extraction only vs. mixed-mode ventilation) or pelt arrangement within the containers. These findings highlight the potential of this approach in enhancing the detection of concealed wildlife products. However, the air extraction protocol must be validated under real-world operational conditions to confirm its practicability. Through the integration of extraction-based air sampling into existing screening frameworks, this approach could offer a scalable, noninvasive strategy to strengthen wildlife trafficking detection.</p>","PeriodicalId":10689,"journal":{"name":"Conservation Biology","volume":" ","pages":"e70225"},"PeriodicalIF":5.2,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13392749/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146092291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Debate, pluralism, and power in epistemological violence: Reply to Simpson et al. (2026).","authors":"Stasja Koot, Nowella Anyango-van Zwieten, Sian Sullivan, Wolfram Dressler, Marja Spierenburg, Lisa Trogisch, Esther Marijnen, Robert Fletcher, Inaya Rakhmani, Suraya Abdulwahab Afiff, Tor A Benjaminsen, Sarah Milne, Hanne Svarstad, Bram Büscher, Anwesha Dutta, Nitin D Rai","doi":"10.1111/cobi.70336","DOIUrl":"10.1111/cobi.70336","url":null,"abstract":"","PeriodicalId":10689,"journal":{"name":"Conservation Biology","volume":" ","pages":"e70336"},"PeriodicalIF":5.2,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13392787/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148338173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating α and β diversity in conservation planning.","authors":"Siqi P Liang, Binbin V Li, Ryan M Huang, Stuart L Pimm","doi":"10.1111/cobi.70243","DOIUrl":"10.1111/cobi.70243","url":null,"abstract":"<p><p>Conservation planning has long prioritized local species richness (α diversity) but has rarely explicitly integrated species turnover (β diversity) into actionable strategies. Areas with high species turnover lack recognition and protection despite their ecological importance. We devised a simple, standardized, and scalable approach for mapping species turnover. We rasterized species ranges, then counted the range edges of each species in each grid cell. This approach enables high-resolution mapping across regions and facilitates the integration of β diversity into conservation planning. We applied this approach to the Eastern Himalayas, where 3 biodiversity hotspots abut, and used endemic bird species as our focal taxa. Our analyses revealed differences between areas of high species richness and high species turnover. Areas of high species richness were concentrated in montane forests, whereas areas of high species turnover tended to be low in mountain forests and peak in foothills and tree lines. Both areas of high species richness and high species turnover are inadequately protected. We contend that species turnover is a critical, complementary metric to species richness in understanding patterns of biodiversity. In addition, areas of high species turnover host unique species assemblages and face a dual challenge. They host peripheral populations that are more prone to local extinction, and communities within them are particularly sensitive to climate change. These vulnerabilities heighten the urgency of protecting such areas. As conservation planning evolves toward more holistic strategies that address multiple interconnected environmental challenges-such as biodiversity loss, climate change, and water security-it becomes increasingly imperative to integrate both α and β diversity into biodiversity mapping. This integration provides a more representative and ecologically robust foundation for long-term conservation planning.</p>","PeriodicalId":10689,"journal":{"name":"Conservation Biology","volume":" ","pages":"e70243"},"PeriodicalIF":5.2,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13392714/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147430946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Contrasting vulnerability profiles for insular assemblages of birds and mammals facing global change.","authors":"Clara Marino, Ana Benítez-López, Nathalie Butt, Gabriel Caetano, Pol Capdevila, Pierre Denelle, Adrienne Etard, José María Fernández Palacios, Iago Ferreiro-Arias, Camille Leclerc, Jonathan Lenoir, Martin Philippe-Lesaffre, François Rigal, Céline Bellard","doi":"10.1111/cobi.70261","DOIUrl":"10.1111/cobi.70261","url":null,"abstract":"<p><p>Island biota is currently threatened by global anthropogenic pressures. The limited ability of island species to track suitable conditions and their inherent sensitivity to anthropogenic changes make insular biota highly vulnerable to global threats. Although vulnerability assessments of species to single threats individually have been conducted, the vulnerability of island faunas to multiple global change drivers has not. We evaluated the relative vulnerability of 266 insular bird and mammal species from 45 islands in six well-studied archipelagos to multiple threats. We first quantified the current exposure of islands to climate change, land-use change, and biological invasions. We then calculated insular assemblage sensitivity based on species' ecological characteristics, such as diet and habitat specialization, generation length, and geographical rarity. To assess the adaptive capacity of insular species in response to these threats, we examined biotic and abiotic features, such as species' dispersal ability, terrain heterogeneity, and proportion of protected area. Exposure and adaptive capacity markers varied greatly among the six archipelagos, but the mean sensitivity of assemblages was similar across islands. Hawai'i, the Azores, and the Mascarenes had high vulnerability scores. Climate change and biological invasions were dominant threats in Hawai'i, and land-use change was the dominant threat in the Mascarenes, Azores, and Canaries. Assemblages from the Galapagos and Tristan da Cunha had lower vulnerability to current threats. The differences in vulnerability among island assemblages, mostly arising from differences in exposure and adaptive capacity, mean these islands' conservation needs differ. Our results delineate the mechanisms behind the vulnerability of insular biota under global change, a necessary step to effectively preserve island biodiversity and its associated human benefits.</p>","PeriodicalId":10689,"journal":{"name":"Conservation Biology","volume":" ","pages":"e70261"},"PeriodicalIF":5.2,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13392736/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147456255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using resurvey data to predict changes in ecosystem functioning across protected and unprotected coastal dunes.","authors":"Greta La Bella, Alicia T R Acosta, Tommaso Jucker, Manuele Bazzichetto, Marco Andrello, Marta Gaia Sperandii, Marta Carboni","doi":"10.1111/cobi.70256","DOIUrl":"10.1111/cobi.70256","url":null,"abstract":"<p><p>Protected areas are generally designed to conserve biodiversity. However, how much they also contribute to maintaining ecosystem functions that plant diversity supports has rarely been tested explicitly, often because of the lack of historical ecosystem function data. We used a trait-based approach to reconstruct past ecosystem functioning and examine its change over the last 15 years in protected and unprotected coastal dune ecosystems. We resurveyed vegetation in quasipermanent plots and measured several ecosystem functions related to biomass production, carbon, water, nutrient cycling, erosion control, and invasion resistance across six coastal dune sites in central Italy. We used these data to quantify biodiversity-ecosystem function (BEF) relationships. We then used these relationships to hindcast past ecosystem functions based on historical vegetation surveys. Finally, as a case study, we applied this method to assess temporal changes in ecosystem functioning under three protection regimes: national protected areas (i.e., strict protection), Natura 2000 sites (loose protection), and unprotected areas. Biomass production, carbon, and water regulation increased over time in unprotected areas, likely due to an expansion of ruderal and non-native species, which are usually more productive. In Natura 2000 sites, communities showed a decrease in erosion control and invasion resistance associated with the loss of important dune-building species and the spread of non-native species. Only in national protected areas did ecosystem functions not undergo significant temporal changes, and invasion resistance even increased. Our results suggested that ecosystem functioning remained stable over time only in areas under strict protection. More broadly, our results demonstrate the potential for using resurvey data in combination with locally estimated BEF relationships to hindcast past ecosystem functioning. Such an approach can be valuable for monitoring long-term functional changes in response to conservation.</p>","PeriodicalId":10689,"journal":{"name":"Conservation Biology","volume":" ","pages":"e70256"},"PeriodicalIF":5.2,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13392779/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147456281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genomics-informed management of ex situ populations.","authors":"Cock van Oosterhout, Philippe Helsen, Elmar Fienieg, Claudia Fontsere, Linett Rasmussen, Mirte Bosse, Zjef Pereboom, Christina Hvilsom, Hernán E Morales","doi":"10.1111/cobi.70360","DOIUrl":"https://doi.org/10.1111/cobi.70360","url":null,"abstract":"<p><p>The European Association of Zoos and Aquariums (EAZA) manages insurance populations for hundreds of species through its EAZA ex situ programs (EEPs). EEPs help safeguard against extinction in the wild and provide source populations for genetic rescue programs. However, like wild populations, populations in EEPs are at risk of genomic erosion, undermining population viability. Current population management is based on studbook and pedigree records, and this information is used to maintain genetic diversity and prevent inbreeding. We examined how genomics-informed conservation management can improve current practices. Using computer simulations, we identified EEP species' characteristics that make them more prone to genomic erosion. EEP species with large ancestral population sizes and low fecundity (i.e., K-strategists) were most at risk of a genetic load of harmful mutations and inbreeding depression. Founder population size is critical for EEP species with large ancestral population sizes and high fecundity (r-strategists), especially if the initial population growth rate is slow. Large breeding population size and effective population size were beneficial for viability for all EEP species. We showed that inbreeding depression peaked at approximately 10 generations after founding and that fitness never completely recovered in EEP species compared with in wild ancestors. Due to a time lag (drift debt), genomic erosion did not become apparent until after ∼3 generations, which implied that biobanking (the long-term storage of biological samples) would be best conducted within this initial period. Thus, genomics data can be used to better maintain genetic diversity, reduce genetic load, and minimize inbreeding depression in EEPs. Genomics data can also identify inadvertent hybridization, which threatens ex situ programs managing closely related species or evolutionary significant units together. Genomics-informed management can improve the viability, fitness, health, and genetic rescue potential of ex situ populations.</p>","PeriodicalId":10689,"journal":{"name":"Conservation Biology","volume":" ","pages":"e70360"},"PeriodicalIF":5.2,"publicationDate":"2026-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148629773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}