Conservation Science and Practice最新文献

Ecotourism promises to reconcile wildlife conservation and human development if negative impacts of human visitation and associated infrastructure can be minimized. Animal behavior studies can be used to identify individual and population responses to anthropogenic impacts before other fitness consequences are documented. With input from professionals in animal behavior and ecotourism, we identified key questions needed to better understand the impact of ecotourism on wildlife. Activity budgets, foraging, movement, stress, habituation, and reproduction were themes that emerged from our survey. We highlight promising research on these themes and identify remaining behavioral research questions about conserving wildlife in the context of ecotourism. Although ecotourism activities often have detrimental effects on animal behavior, we highlight research needs that can inform management and ecotourist education to improve human behavior to be more compatible with sustainable use of nature.

Domestic cats (Felis catus), both feral animals and pets, are a major threat to biodiversity. While domestic cats are closely associated with human residences and activity, they also range into and impact natural areas. We still know little about how free-ranging cats use natural and semi-natural areas. We quantified cat occurrence at 405 forest sites in Norway over 3 years using occupancy modeling, and tested how occurrence patterns were influenced by relevant landscape variables. Cat occupancy decreased with increasing distance from residential houses, being >60% within 50 m of the nearest house, but even at 1000 m distance, occupancy still exceeded 10%. When cats were present in forests, they were more likely to be detected close to forest edges. Detection probability was lowest and declined more steeply with increased distance from the forest edge during winter, when temperature, vegetation cover, and prey availability are at their lowest. We conclude that cats may pose a threat in natural areas like forests even at considerable distances from residences. We encourage further studies that investigate the role of landscape characteristics and environmental conditions on habitat penetration by both feral and pet domestic cats.

Hyman, A. A., Crone, E. R., Benson, A., Dunham, J., Lynch, A. J., Thompson, L., & Mims, M. C. (2025). Exposure, sensitivity, or adaptive capacity? Reviewing assessments that use only two of three elements of climate change vulnerability. Conservation Science and Practice, 7(1), e13293. https://doi.org/10.1111/csp2.13293

On the y-axis of Figure 4, the bottom variable category was incorrectly labeled as “Adaptive Capacity”. This label should have read “Exposure”. The corrected figure is shown below.

We apologize for the error.

Human impacts on the planet degrade natural habitats, often restricting wildlife to protected areas. If connectivity between such areas is lost, wildlife populations may lose genetic diversity, thereby increasing extinction risk. For large carnivores, connecting populations separated by human-occupied habitats requires dedicated effort to foster human–wildlife coexistence. Using lion observation data from 1962 to 2023 and movement data from GPS collars, we evaluated how inclusive conservation actions (i.e., directly involving local communities) in the Ngorongoro Conservation Area (NCA), Tanzania, are affecting the ability of lions to use and traverse human-occupied habitats. Efforts to promote human–lion coexistence were positively associated with the number of lions moving across human-occupied habitats and the ability of lions to settle in human-occupied areas, suggesting that conservation activities are having the desired impact on connectivity. However, despite a reduction in negative human–lion interactions from 2016 to 2021, the number of retaliatory lion killings and livestock attacks both increased sharply during an extreme drought in 2022, before dropping again in 2023. Thus, although our results highlight the benefits of inclusive conservation for connectivity of large carnivore populations, recent events highlight continued challenges and the need for long-term, nimble approaches to maintain balance where humans and large carnivores coexist.

Human–wildlife conflict (HWC) presents a growing challenge to conservation and development worldwide. World Wide Fund for Nature (WWF) and experts on human–wildlife coexistence strategies have responded to this challenge by developing a holistic, globally applicable approach to HWC management that can be tailored to specific local, regional, or national contexts. Its framework addresses the complexity of essential HWC management and long-term coexistence strategies and is implemented in a structured yet contextualized step-by-step sequence by a team of facilitators and multiple stakeholders. The C2C: Conflict to Coexistence Approach centers on four principles (tolerance is maintained, responsibility is shared, resilience is built, holism is fundamental), four outcomes (wildlife thrives alongside human presence, habitat sufficient to maintain viable wildlife populations, people able and willing to live alongside wildlife, livelihoods/assets secured against presence of wildlife), and six HWC management elements (policy and governance, understanding interactions, prevention, response, mitigation, monitoring) that are to be implemented in an integrated way. It is currently undergoing testing in diverse pilot sites across three continents and demonstrating positive initial results. Here, we share the framework and methodology of the approach and initial results and experiences from these pilot sites.

Although forest elephants (Loxodonta cyclotis) are known to use logged forests, the impact of selective logging on this critically endangered species has never been well established. Considering the potential of some logged areas to serve as other effective area-based conservation measures, aligning with the Convention on Biological Diversity's 30/30 initiative, we aimed to assess the short-term impacts of logging on three population parameters: the presence, abundance, and activity of forest elephants. Combining camera traps and dung surveys before and after logging operations, we assessed the response of forest elephants in a certified timber concession in Gabon. Encouragingly, we found no negative effects of logging on the three population parameters studied. There was no discernible change in the presence of elephants after logging, and their abundance actually increased (relative abundance index from 1.56 to 2.59; p-value 0.0139) at one of the study sites. Activity patterns were also unaffected, showing sustained activity during daylight hours. We also identified the logging-associated factors that have significantly influenced forest elephant's abundance. Notably, logging intensity, as measured by the average number of trees harvested per hectare, and road density were positively correlated with the number of forest elephant observations (logging intensity effect: 0.2992, p-value 0.035; road density effect: 0.3628, p-value 0.060). As global conservation goals evolve, this research provides important insights into the coexistence of well-managed industrial activities and the conservation of endangered species, highlighting the need to include responsibly managed timber concessions in future conservation strategies. It also underscores the importance of wider adoption of sustainable practices such as low-impact logging, promoted by certification schemes such as FSC or PEFC, to secure the future of central African forests and their unique wildlife.

Environmental DNA (eDNA) detections of imperiled species have the potential to inform conservation action, but this requires the acceptance of new technologies by decision-makers. Here we describe how engaging stakeholders into a collaborative process led to the successful translation of new eDNA findings into conservation outcomes. We characterized the distribution of three federally listed pond-breeding amphibians across nearly 200 wetlands in coastal California using both traditional field surveys and eDNA sampling; the latter had greater detection rates overall. Regulatory agency staff gained trust in the rigor and effectiveness of eDNA data by joining traditional surveys and through the collaborative development of recommendations for the adoption of eDNA methods. Extensive outreach to the local community within the range of the highly endangered Santa Cruz long-toed salamander resulted in invitations to sample previously unsurveyed wetlands on private property and the detection of new breeding sites. Conservation organizations and resource management agencies were integrated into our core team from the start, and ultimately shaped wetland management actions, siting of new wetlands, and land acquisition priorities informed by the data generated. Thus, this project serves as a model for actionable eDNA science directly affecting conservation.

The biodiversity crisis calls for more collective effort, and a close examination of the tools available to effect change. We documented insider knowledge into how pro-nature decision-making can be influenced in the Australian state of Victoria, focusing on the role of public advocacy targeting government. We interviewed 12 experts who currently or previously held influential roles in government or advocacy-focused environmental non-government organizations (ENGOs) and used thematic analysis to explore their responses. Experts described influence from individuals, grassroots groups, or ENGOs, and factors shaping success. These included attributes of the decision-making context, having resources and commitment to see out long-term change, having relevant networks, and being able to act when opportunities arise. Barriers described included lack of environmental literacy among the public and some decision-makers, biodiversity concern being crowded out by climate change concern, and the difficulty of shifting from incremental to systemic change. Understanding these factors can better equip advocates to have impact. Democratic governments recognize that societies make progress where there is two-way exchange between public and state, so should foster public pathways toward political engagement in conservation.

Protected areas are the cornerstone of national and global efforts to mitigate biodiversity loss. This study focused on the national nature reserves (NNRs) of the Qinghai-Tibet Plateau (QTP), using a long-term series of NDVI data from 2010 to 2020 to assess the effectiveness of vegetation protection across the entire region. By employing a multiple regression model, we accounted for 71% of the variation in the NDVI change rate, indicating a goodness of fit (R-squared) that indicated an interplay between factors such as the natural environment, management capabilities, human-mediated disturbance, and population density in shaping vegetation protection effectiveness within the NNRs of the QTP. The managerial capacity, natural environment, population, and human-mediated disturbance factors contributed 46.0%, 37.5%, 11.4%, and 5.1%, respectively, of the total. The regression analysis findings highlight the crucial role that environmental elements play in the success of conservation by showing that latitude, longitude, elevation, and average annual precipitation all have a major impact on the effectiveness of NNRs. The effectiveness of conservation is significantly positively impacted by province and per capita patrol area, and negatively by per capita management area. Practical conservation and management solutions appropriate for the NNRs of the QTP are also offered to meet current challenges and management restrictions. These suggestions are meant to help the QTP function as an ecological security barrier more successfully.

Forest ecosystems will play a critical role in achieving policy targets for biodiversity and conservation, such as those set out in the EU Biodiversity strategy for 2030. However, practitioners need to know where forests of high conservation value are to make the best-informed decisions about which forests to prioritize. Here, we combine airborne LiDAR (airborne laser scanning/ALS), optical satellite imagery, and gridded datasets on soil and water availability with machine learning models to predict forests' conservation value across Denmark. We then use change-detection algorithms to identify forests that had been disturbed since the collection of the LiDAR data to produce up-to-date estimates for the year 2020. Our models reached a high predictive capacity (82% accuracy) and suggested that 1982 km² (~31%) of Denmark's forests were of potential high conservation value. Our study demonstrates the utility of data fusion approaches to identify forest areas of high value for conservation at fine spatial resolutions (~10–100 m) and nationwide extents. However, uncertainties remain in our approach. Hence, our findings should be used to guide field-based assessments to confirm the in situ conservation value of the forests. Only in combination with such in situ data will approaches like ours enable decision makers to better protect forest biodiversity.