Adaptive Wildlife Management Research Articles

The introduction of Geo Wild System (GWS) as a novel wildlife reporting, monitoring, and analyzing system in Malaysia

In Malaysia, escalating human-wildlife conflicts pose significant risks to both human populations and wildlife species, highlighting the need for advanced systems for effective conflict management. This study introduces the Geo Wild System (GWS), a novel Progressive Web Application (PWA) specifically tailored for Malaysian contexts. GWS integrates data from diverse sources, including citizen reports, park rangers, and licensed hunters, and employs Geographic Information System (GIS) tools to enhance data visualization and identify conflict hotspots. During the study period from January to June 2024, GWS recorded and facilitated the deployment of 117 traps across six districts: Shah Alam, Hulu Selangor, Sungai Besar, Hulu Langat, Georgetown, and Seberang Prai. These deployments, based on reported conflict data, resulted in the capture of 88 wildlife individuals, including 85 long-tailed macaques (Macaca fascicularis), two wild boars (Sus scrofa), and one Asian palm civets (Paradoxurus hermaphroditus), demonstrating the system's operational effectiveness. GWS supports a comprehensive reporting, monitoring, and analysis system, utilizing GIS-based Kernel Density Estimation (KDE) to pinpoint critical conflict hotspots, particularly in rapidly urbanizing areas. User feedback was overwhelmingly positive, highlighting the system’s user-friendliness and robust data integration. Despite initial deployment challenges and geodetic constraints, GWS has proven to be a valuable tool for mitigating wildlife conflicts, enabling informed, timely management responses, and offering a promising approach to adaptive wildlife management in Malaysia.

A stage-based life cycle implementation for individual-based population viability analyses of grey wolves (Canis lupus) in Europe

Population viability analyses (PVA) are important tools for decision-making and planning of adaptive wildlife management actions. While earlier approaches on individual based PVAs have often been age-based, analyses of species with strong social structure might benefit from a stage-based model approach. In this study, we designed an individual-based and stage-based PVA within the software Vortex. As a case study, we applied our model to the German part of the European wolf population, making use of comprehensive data sets originating from the German monitoring regime including individual genotypes. Genetic diversity and inbreeding were important considerations in our analysis, as they could greatly impact population dynamics. We aimed to assess the population's trajectory, extinction risk, and genetic integrity under different scenarios while analyzing factors that could affect its survival. We found that mortality rates at different life cycle stages had varying effects on population growth. Higher mortality rates among pups and dispersers led to negative growth and increased the risk of extinction. In comparison, higher mortality rates among yearlings and subdominant wolves still resulted in positive growth but at a slower rate. Mortality among the breeding individuals within the pack (territorials) had the highest impact on population trajectory. Although the German wolves represent a rather recently founded population, our simulations predicted generally good genetic diversity as long as the population was not held at artificially low numbers.Ultimately, we present a generic, easy-to-use-and-adapt model built within the Vortex environment, that after appropriate modification, calibration and testing could be used within conservation practice and management in collaboration with scientific research. Our study highlights the importance of stage-based modeling for understanding the demographic traits of social species like wolves.

Causality and wildlife management

AbstractEstablishing cause and effect (i.e., causality) is a fundamental aim in science and important for wildlife management, as we need to know the cause of an event if we seek to reproduce, enhance, or diminish it. We review 13 alternative approaches for applying 12 criteria to establish causality. Strength of causal inference is greater when more causal criteria are applied so we propose a scaffolding set of criteria to clearly establish causality. We recommend validating predicted outcomes of wildlife management efforts when predictions are based on a unique mechanism and temporality, especially when manipulative experimental studies are not feasible. We use 3 case studies, namely of lamb predation by feral pigs (Sus scrofa), causes of trends in northern spotted owls (Strix occidentalis caurina), and causes of trends in mallards (Anas platyrhynchos), to illustrate these topics, which are of wide relevance in wildlife management. We recommend greater use of causality and relative strength of causal inference to improve adaptive wildlife management.

Determining Statistically Robust Changes in Ungulate Browsing Pressure as a Basis for Adaptive Wildlife Management

Ungulate browsing has a major impact on the composition and structure of forests. Repeatedly conducted, large-scale regeneration inventories can monitor the extent of browsing pressure and its impacts on forest regeneration development. Based on the respective results, the necessity and extent of wildlife management activities such as hunting, fencing, etc., can be identified at a landscape scale. However, such inventories have rarely been integrated into wildlife management decision making. In this article, we evaluate a regeneration inventory method which was carried out in the Bavarian Forest National Park between 2007 and 2018. We predict the browsing impact by calculating browsing probabilities using a logistic mixed effect model. To provide wildlife managers with feedback on their activities, we developed a test which can assess significant changes in browsing probability between different inventory periods. To find the minimum observable browsing probability change, we simulated ungulate browsing based on the data of a potential browsing indicator species (Sorbus aucuparia) in the National Park. Sorbus aucuparia is evenly distributed, commonly found, selectively browsed and meets the ecosystem development objectives in our study area. We were able to verify a browsing probability change down to ±5 percentage points with a sample size of about 1,000 observations per inventory run. In view of the size of the National Park and the annual fluctuations in browsing pressure, this estimation accuracy seems sufficient. In seeking the maximal cost-efficiency, we were able to reduce this sample size in a sensitivity analysis by about two thirds without severe loss of information for wildlife management. Based on our findings, the presented inventory method combined with our evaluation tool has the potential to be a robust and efficient instrument to assess the impact of herbivores that are in the National Park and other regions.

Wildlife Hunting and Utilization in Ulu Baleh, Sarawak, Malaysian Borneo

Poaching is one of the greatest immediate threats and a serious conservation challenge facing wildlife in Borneo. Medium- to large-sized mammals, while charismatic, are hunted for consumption and sale. This study focuses on wildlife hunting and utilization of selected communities in a remote area in Sarawak, conducted using interview surveys within communities who hunt wildlife in Ulu Baleh. The calculated hunting pressure index in Ulu Baleh (2.24) is considered low compared to other parts of Sarawak. Local communities are dependent on wildlife protein and medicine. Even though the common hunting offtake included the bearded pig and deer species, for the hunter’s own consumption, hunters were opportunistic in taking non-target species and selling surplus meat. Lack of awareness of the implications of unsustainable hunting and difficulty in monitoring by the relevant authorities appear to be the main challenges to wildlife conservation in the area. This paper highlights the lack of research documenting wildlife utilization in the Ulu Baleh region and the implication of these results are particularly important for future adaptive wildlife management, especially for species of conservation importance in Sarawak.

Impact of community participation in adaptive wildlife resources management at Mole National Park, Ghana

Purpose: Wildlife resources constitute indispensable nature’s strongholds for human livelihoods strategies in forest, savanna zones across Ghana and the worldwide although, it often engendered conflicts. Impact of community participation on adaptive wildlife resources management was strategically assessed at Mole National Park. Research methodology: 60 randomly selected park environs residents were interviewed for valid responses using semi-structured questionnaires. Findings: High wildlife products demand has transformed bush meat into lucrative business through poaching by thousands of youths and adults, causing habitat destruction and sharp wildlife population decline. Hunters, poachers, middlemen, restaurant operators constituted game-trade-market-value chain. Limitations: Funding subjectivity reduced scope of the study to only few communities in dry season. Temptation to reject the questionnaires on suspicion of force evacuation plots against some park adjoining villages was later refuted. Hence, recovery rate was 100%. Contribution: We recommend that Wildlife Division of the Forestry Commission should strengthen synergies on community participation in adaptive wildlife management by coopting educational interventions that positively influence indigenous behaviors through seminars, workshops, face-to-face interactions. This will better define the rights, roles, responsibilities of key partners towards resolving communal wildlife conflicts. Keywords: Community participation, Wildlife management, Park sustainability, Poaching, Game-trade-market-value chain

Long-term reevaluation of spatially explicit models as a means for adaptive wildlife management.

We evaluated a 20-yr-old spatially explicit model (SEM) that predicted the spatial expansion of reintroduced Persian fallow deer in northern Israel. Using the current distribution of the deer and based on multi-model inference we assessed the accuracy of the SEM's prediction and what other factors affected the population's current distribution. If the SEM's projection was still valid, the leading model in the multi-model inference would include only the SEM's projection as an explanatory variable with a good fit. Different leading models would reveal key variables overlooked when the SEM was constructed or changes in the landscape unforeseen at the time, thus assisting adaptive management and decision-making. We assessed deer presence from camera trap encounter counts analyzed using N-mixture models. Models included various combinations of seven predictors: the 20-yr predictions of an SEM developed during the initial phases of the reintroduction, three key landscape characteristics on which the SEM was originally based but updated to reflect current conditions, distance from the release site, elevation, and the distribution of gray wolves (a predator that was absent from the area when the SEM was developed). Competing models were ranked by Akaike information criterion (AIC). Wolf distribution was the key predictor explaining the current deer distribution, appearing in all three leading models (∆AIC<2.0) and carrying 71% of the AIC weight (coefficient=-14.86 ± 5.6 [mean ±SE]). Of these three models, the SEM 20-yr prediction appeared in two, but explained only a fraction of the variance (coefficient=0.001 ± 0.08). The contribution of all other predictors was negligible. While the SEM failed to accurately predict the 20-yr deer distribution, the divergence between its projection and reality pointed to the probable cause (wolves) of this discrepancy. The inclusion of the SEM prediction in the leading models indicates that had the wolves not spread to the study area, the predictions would still have merit suggesting that long-term SEMs can potentially be robust. Long-term reevaluation of SEMs can be beneficial even if model projections fail, as the process can uncover the specific factors driving this failure, supporting adaptive management procedures.

A systematic review of adaptive wildlife management for the control of invasive, non‐native mammals, and other human–wildlife conflicts

Abstract We are entering an era where species declines are occurring at their fastest ever rate, and the increased spread of non‐native species is among the top causes. High uncertainty in biological processes makes the accurate prediction of the outcomes of management interventions very challenging. Adaptive management (AM) offers solutions to reduce uncertainty and improve predictability so that the outcomes of interventions can continuously improve. We quantitatively assess the extent to which AM is used for managing vertebrates, with a focus on invasive non‐native species (INNS). Using the Web of Science, we evaluated 3992 articles returned by the search terms ‘adaptive management’ or ‘adaptive harvest management’ against seven recommended elements of AM (engagement with stakeholders, defining objectives, forecasting and estimating uncertainty, implementing management, monitoring populations, adjusting management in response to monitoring, and improving forecasting and reducing uncertainty in response to monitoring populations). The use of AM for vertebrates was reported in 56 (1%) of the evaluated studies; including four for managing INNS. Of these, ten studies excluding INNS and no studies of INNS management implemented all seven recommended elements of AM. Those elements infrequently implemented were as follows: the use of analysis or models to forecast and represent uncertainty (44%) and the feedback of monitoring data to improve forecasting and reduce uncertainty (25%). Complete active AM has rarely been implemented and reported for managing INNS, despite the significant advantages it offers. Among studies purporting to have implemented AM, most did not use analyses or models to forecast and represent uncertainty, while most defined objectives, implemented management, and monitored populations. Improvements to ongoing control programmes and much broader adoption of the AM approach are required to increase the efficiency and success of INNS management campaigns and reduce their negative impacts on native species.

Science-based wildlife disease response

In 2007, the current outbreak of African swine fever (ASF), which severely affects wild boar populations and pigs, reached the Caucasus region. Since then, the virus has spread into eastern Europe and some places in central and western Europe (such as Belgium) through wild boar, domestic pigs, and human activities. The virus has raised serious concerns in countries with large pork industries, which may suffer economic losses due to trade restrictions ([ 1 ][1]). To control the outbreak, national authorities have taken drastic but likely ineffective measures that disregard the science of wildlife management. Poland, for example, has massively increased culling of wild boar to minimize ASF spread and the risk of transmission to domestic pigs, despite opposition by experts ([ 2 ][2], [ 3 ][3]). The policy does not include population monitoring that could evaluate its effectiveness ([ 4 ][4]). It also does not limit wild boar access to agricultural crops and game feed, which is a key driver of population growth ([ 5 ][5]). Meanwhile, Denmark is building a 70-km border fence to exclude cross-border migration of wild boar ([ 6 ][6]). The fence will disrupt wildlife habitats ([ 6 ][6]), but it will not stop the virus from spreading through the transportation of live pigs, wild boar, or pig- and wild boar–derived tissues and products or through the movement of other objects carrying the virus, such as human clothing ([ 1 ][1]). Factors that govern wild boar abundance and virus spread are not bound by national borders. Instead of haphazard policies, we urge governments to agree on a coordinated response that adheres to the principles of modern wildlife management ([ 7 ][7]). Adaptive wildlife management strategies consider the human dimension and prevent unsound reactive management. Improved wildlife population monitoring ([ 4 ][4]) and analysis are the best ways to determine which approaches to wildlife management are successful ecologically, economically, and socially. Sustainable management will depend on local circumstances and national wildlife management regulations, but science-based strategies can be implemented at the continental scale. Legislators across Europe should consult scientists and wildlife and animal health agencies before making decisions about wildlife policy. European countries should coordinate population monitoring and management. Shared responsibility for wildlife management among countries will enable funding for research that can critically evaluate its success. The ASF crisis can serve as a chance to develop a science-based wildlife policy for Europe. 1. [↵][8]EFSA Panel on Animal Health and Welfare (AHAW)et al., EFSA J. 16, 5344 (2018). [OpenUrl][9] 2. [↵][10]1. K. Schmidt, 2. R. Kowalczyk, 3. H. Okarma, 4. T. Podgorski, 5. P. Chylarecki , “Experts against the proposal to depopulate wild boar in Poland,” ENETWILD (2019); . 3. [↵][11]1. S. Walker , “Planned wild boar cull in Poland angers conservationists,” The Guardian (2019); . 4. [↵][12]ENETWILD Consortiumet al., EFSA Supporting Publication 15, EN-1523 (2018). [OpenUrl][13] 5. [↵][14]1. G. Massei et al ., Pest Manag. Sci. 71, 492 (2015). [OpenUrl][15] 6. [↵][16]1. A. Mysterud, 2. C. M. Rolandsen , J. Appl. Ecol. 56, 519 (2019). [OpenUrl][17] 7. [↵][18]1. M. Apollonio et al ., Mammal Res. 62, 209 (2017). 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Trophy Hunting and Possible Source-Sink Dynamics in Protected Areas: Insights from Trophy Size and Offtake Patterns in Southeast Zimbabwe

Developing harvest management strategies in designated hunting areas requires systematic and robust monitoring. We assessed the trophy size, quota utilization, and distribution of kill sites of African elephant, Cape buffalo, greater kudu, and leopard for the period 2007-2014 in Malapati Safari Area, southeast Zimbabwe. Trophy sizes for African elephant significantly increased over time albeit being below the expected minimum Safari Club International (SCI) score. Cape buffalo trophy sizes declined significantly over time but were not different from the SCI minimum score. However, greater kudu trophy sizes were higher than the SCI minimum score despite being constant over time. Leopard trophy sizes were higher than the SCI minimum score and increased with time. Quota utilization for African elephant and Cape buffalo increased while that of greater kudu and leopard did not change between 2007 and 2014. Some kill sites, in particular, for the African elephant and Cape buffalo, were within the buffer area with the state protected area, i.e., Gonarezhou National Park. Increased hunting pressure likely leads to poor trophy quality and hunting within the protected buffer areas. In contrast, effective adherence to hunting ethics and scientifically and conservatively set quotas largely does not compromise the trophy quality of harvested species. The observed trophy size patterns and kill sites distribution suggest the possible existence of source and sink dynamics of trophy species occurring in a protected area complex within the Zimbabwe’s component of the Greater Limpopo Transfrontier Park. To ensure sustainable trophy hunting in the study area and similar ecosystems the following are recommended: (i) scientifically robust, adaptable, and participatory quota setting process, (ii) enhanced adherence to good practice in terms of ethical hunting conduct, and (iii) development of a robust hunting monitoring system covering all elements of hunting for adaptive wildlife management.

Factors affecting implantation failure in roe deer

ABSTRACTReproductive performance is one of the most important life‐history traits that should be routinely studied and considered in adaptive wildlife management. In the case of roe deer (Capreolus capreolus), a species with delayed implantation, which complicates studies on fetuses, corpora lutea (CL) counting is the only alternative for routine monitoring. However, because of a possible implantation failure, the reliability of this method is questionable, and factors influencing implantation success have been poorly understood so far. We analyzed 2,594 intact uteri of roe deer hunted from 2006–2015 in an Apennine population, central Italy, during winter (mid‐Jan to mid‐Mar). By comparing the number of CL and fetuses in the same individuals (i.e., success in blastocyst implantation), we revealed a mean implantation failure of 8.6% in a pooled sample set (regardless of the age and origin of animals), with a high inter‐annual variability (range = 3.6–19.8%). Contrary to adults ( ± SE = 11.1 ± 1.9%), the implantation failure in yearlings was low (4.4 ± 1.9%). Implantation success was affected by individual maternal characteristics (positive effect of body mass and negative effect of age), climatic condition in summer (positive effect of July temperature up to 23.4°C, and negative effect above this threshold), winter harshness (negative effect of snow cover duration), and altitude (negative relation with the elevation). Reproductive performance of adult female roe deer cannot be adequately measured by CL counts because of high inter‐annual variability in implantation failure and important effects of female attributes and environmental factors. However, for yearlings, which also express the highest variability in the ovulation rates, CL counts provide important information on their reproductive outcome because they have low implantation failure. © 2018 The Wildlife Society.

Population size and spatial ecology of Blanding’s Turtle (Emydoidea blandingii) in South March Highlands, Ottawa, Ontario, Canada

Between 2010 and 2011, an arterial road was constructed within provincially significant wetlands in the South March Highlands (SMH) located in Ottawa, Ontario, Canada. The wetlands and adjacent upland areas were determined to be sensitive habitat for Blanding’s Turtles (Emydoidea blandingii (Holbrook, 1838)) during the approval and permitting process, and a population study was required as part of the road construction project. The study consisted of a 4-year mark–recapture program and a movement study of radio-tagged adult turtles. General findings included the identification of 27 adult males and 55 females and a population estimate of 93 adults (95% Cl: 86–118). A 1:2.32 male to female sex bias was also found. Mean home-range size was 19.06 ha and tagged turtles moved, on average, more per observation in 2013 (191.40 m compared with 89.75 and 123.04 m in 2011 and 2012, respectively). Previously reported differences in movement patterns between males, females, and gravid females were not observed. The SMH Blanding’s Turtle population should be closely monitored because urban development continues in the area, which may further reduce the population size. Understanding the biology of imperiled populations across species’ ranges is necessary to promote conservation and adaptive wildlife management.

Beyond dichotomy in the protection and management of marine mammals in Japan

Introduction: Marine mammals are natural resources for humans. They are also considered as pests in some fisheries. Damage to fisheries by Steller sea lions in northern Japan has increased since the 1990s. The major factor that drives the relationship between humans and marine mammals has changed from the middle of the 20 th century to the early 21 st century; this is the result of changes in the extent to which their populations are threatened, the demand for these natural resources, and policies for marine mammal conservation. Methods: In this paper, we have chosen four major taxa of marine mammals to investigate changes in policies for marine mammals in Japan: Steller sea lions, harbor seals, dugong and cetaceans. Some cetacean species have been overexploited in the past and remain threatened. Their full recovery is still awaited. Other large cetacean species have never been threatened; nevertheless all commercial whaling was placed under a moratorium by the International Whaling Commission in 1982. Results: Japan still catches small cetaceans in coastal whaling operations and large cetaceans for scientific research. Except for cetaceans, the policy for marine mammals has changed from resource use in the middle of the 20 th century, to protection in the late 20 th century, and to nuisance control since 2014. Environmental groups played an important role in building consensus for these policy changes. Discussion and conclutions: We seek a comprehensive policy that achieves a balanced approach to accommodate three different roles of marine mammals: a natural resource, participants in marine ecosystems and agents of damage to fisheries. We also discuss the importance of stakeholder involvement in changing policies for wildlife management, ranging from complete protection to population control. Key words: Adaptive wildlife management; japanese commercial whaling; dugong, Harbor seals; population control; stakeholder involvement; steller sea lion.

Integrating Ecological and Human Dimensions in Adaptive Management of Wildlife-Related Impacts

Adaptive wildlife management seeks to improve the integration of science and management by focusing decision-making on hypothesis-testing and structuring management actions as field experiments. Since the early 1990s, adaptive resource management (ARM) has advocated enhancing scientific rigor in evaluating management actions chosen to achieve “enabling objectives” typically directed at wildlife habitat or population characteristics. More recently, the concept of adaptive impact management (AIM) has emphasized a need to articulate “fundamental objectives” in terms of wildlife-related impacts to be managed. Adaptive impact management seeks to clarify why management is undertaken in a particular situation. Understanding the “why” question is viewed in AIM as a prerequisite for establishing enabling objectives, whether related to changes in wildlife habitats and populations or to human beliefs and behaviors. This article describes practical aspects of AIM by exploring relationships between AIM and ARM within a comprehensive model of decision-making for wildlife management. Adaptive impact management clarifies and differentiates fundamental objectives (i.e., wildlife-related impacts to be modified) and enabling objectives (i.e., conditions that affect levels of impacts), whereas ARM reduces uncertainty about how to achieve enabling objectives and seeks an optimal management alternative through hypothesis-testing. The 2 concepts make different contributions to development of management hypotheses about alternative actions and policies and should be nested for optimal application to comprehensive wildlife management. Considered in the context of the entire management process, AIM and ARM are complementary ideas contributing to adaptive wildlife management.

Effective Monitoring for Adaptive Wildlife Management: Lessons from the Galapagos Islands

Successful monitoring underpins effective wildlife management insofar as monitoring serves to track the response of wildlife resources to management and to identify whether management should be continued or changed. Here we provide both general guidelines and specific examples for the design and implementation of effective monitoring programs for adaptive wildlife management based, in part, on lessons we have learned in the Galapagos Islands, where development of a comprehensive monitoring program for its wildlife is underway. To be effective, wildlife monitoring programs should (1) be framed by well-articulated objectives that are closely linked to management goals; (2) measure a subset of informative indicators with sampling methods that permit unbiased and statistically powerful results while minimizing costs and logistical problems; (3) ensure program continuity despite the vagaries of change in personnel, technology, and program objectives; and (4) quickly make accessible appropriately analyzed information to a wide audience, particularly policymakers. Only through such an integrated process can the adaptive loop' in wildlife management be closed and management practices and policies evolve in a manner ultimately beneficial to wildlife, both in Galapagos and elsewhere.

Present and Future Use of Fencing in the Management of Larger African Mammals

The varying reasons are outlined for needing to control the movements or otherwise manage a wide range of African animal wildlife species by means of fencing. In all cases there is an underlying conflict of interest between people and animals — principally the larger mammals. Fencing is seen as the most powerful tool in this process of land-use division, and high expectations of fences are held by people who are adversely affected by wildlife activities and similarly by many conservationists. To date the main determinants in the siting and construction of fences have been political pressure or the availability of funds; wildlife fencing is perhaps the only factor having a substantial influence on ecosystems and animal populations that has remained virtually devoid of any serious input of ecological knowledge, of systematic investigation, or of environmental legislation.The wild species requiring management are many and varied in individual size, group size, and dispersal patterns; they also exhibit an array of special behaviours when confronted with a barrier. This means that any barrier will come under very variable levels and types of challenge, and that the effects of it on the biology of both target and non-target species must be carefully considered.Research on the behaviour of animals at fences has been limited, being mostly confined to domestic species or non-African wildlife. Certainly, very little systematic investigation has been carried out to determine whether fences have achieved their objectives or been economically justified, and to what extent they have caused environmental side-effects on the population dynamics of animals or the disturbance of plant communities.Current evidence suggests that electric or power fences are an increasingly efficient way of managing wild mammals and that fencing programmes should become more deflecting than encircling. Fences create ‘hard edges’ between dissimilar forms of land-use and cause long-term inflexibility that limits planning and forecloses options. As the pressure for land becomes more and more acute, the control of wildlife with the help of fences needs to develop into a specialized field of its own, based on sounder ecological, sociological, and economic, principles than hitherto, within the expanding scope of adaptive wildlife management.