Wildlife Conservation Management Research Articles

Multilevel ecological interactions: Impact of weather, forest extreme events and seed production on squirrel population dynamics.

In resource-limited producer-consumer systems, environmental variables such as weather, habitat structure, and resource availability interact to shape consumer dynamics. We conducted a comparative analysis on territorial Fremont's squirrel (Tamiasciurus fremonti) in Arizona mountain ranges (three sites) and non-territorial Eurasian red squirrel (Sciurus vulgaris) in the Italian Alps (five sites) to investigate the effects of forest composition, pulsed seed resources, weather, and climate change-induced forest disturbances on population density. We also explored potential synchrony in spatial and temporal dynamics between squirrel populations, driven by endogenous and exogenous processes. Our long-term, multi-site datasets revealed shared density-dependent patterns: annual oscillations in Fremont's squirrel populations and biennial oscillations in Eurasian red squirrels. Both species exhibited strong bottom-up responses, with higher densities following tree-seed production and warmer spring temperatures. Despite the absence of synchronized trends in population density across time or regions, we found consistent responses to resource availability and abiotic conditions, demonstrating shared mechanisms across ecologically distinct systems. By integrating field data, remotely sensed forest disturbances, and multi-factorial modeling, this study highlights the role of climate, forest dynamics, and climate change-induced forest disturbance in shaping population processes in pulsed resource systems. Our findings underscore the importance of understanding producer-consumer interactions under climate change, providing globally relevant insights into the interplay of abiotic drivers, species-specific behaviours, and ecological resilience. These results contribute to advancing strategies for wildlife conservation and forest management in the face of ongoing environmental change.

High Diversity Unveiled by the First Genetic Survey on Wild and Captive Barbary Partridge (Alectoris barbara) from Morocco

Characterizing genetic diversity and structure is paramount in wildlife conservation management. Surprisingly, however, there are species that, despite being intensively managed, are largely overlooked in terms of genetic makeup. The Barbary partridge (Alectoris barbara), a medium-sized galliform native to northern Africa, is one such exemplary case. Since the early 2000s, a couple of breeding farms in Morocco have been operating using wild breeders. At that time, no genetic data were available for local wild populations, nor had the founders been genetically screened. After two decades, the degree of genetic diversity of wild Barbary partridge populations remains unknown. In this study, we genotyped the mitochondrial DNA control region (ca. 1000 bp) in wild and captive A. barbara populations from Morocco. Overall, we found a high and well-distributed genetic diversity, with a moderate differentiation between captive and wild populations likely attributable to either the sharing of widespread and allegedly ancestral haplotypes or the extensive release of farm-reared individuals. Nevertheless, the occurrence of private haplotypes across all the wild populations calls for separate management. A more comprehensive sampling and the use of genome-wide loci is advisable to achieve a thorough understanding of the genetic diversity of the Barbary partridge and define management units accordingly.

Knowledge, Perception, and Practices of Wildlife Conservation and Biodiversity Management in Bangladesh

Human activities significantly influence the changes in wildlife habitats and biodiversity, highlighting the necessity to enhance public knowledge, perceptions, and practices (KPP) to mitigate their consequences. Previous research suggests that many people in Bangladesh do not consider wildlife and biodiversity conservation a crucial issue. However, enhancing their KPP could be essential in developing effective and sustainable conservation efforts in Bangladesh. So, the current study aimed to evaluate the public’s KPP of wildlife conservation and biodiversity management in Bangladesh. A total of 3060 individuals’ data were collected from various sociodemographic backgrounds using a structured questionnaire followed by statistical analyses including Pearson’s chi-square, Spearman’s correlation, and logistic regression analysis, which were performed to assess the correlations and trends among variables using STATA and SPSS. The results revealed a significant heterogeneity in KPP across different sociodemographic groups. Importantly, the younger respondents (ages 21–30) indicated a high level of KPP, and respondents without formal education and belonging to older ages demonstrated markedly low levels of KPP. In the country’s divisional levels, respondents from Khulna and Rangpur revealed the highest and lowest KPP levels, respectively. Our study also revealed that students represented the major occupational demographic and displayed moderate levels of KPP. Notably, respondents highlighted the decline or absence of several wild animal species, including black bears, deer, vultures, wild cats, hanuman monkeys, and rhesus monkeys, from their local areas over the past decades. Public opinion on wildlife protection revealed 78.6% and 73.4% disapproving of hunting rejection and wildlife trading, respectively. Nonetheless, a lack of knowledge remained, as 16.89% of respondents were unaware of measures to alleviate human-wildlife conflict. The correlation analysis indicated a favorable association among KPP components, especially between knowledge and perception (correlation coefficient = 0.438), underscoring the essential influence of awareness on conservation actions. This study offers critical insights for developing interventions to enhance KPP among local communities and stakeholders, hence promoting sustainable wildlife conservation and biodiversity management in Bangladesh. Taken together, the findings provide baseline data for safeguarding biodiversity and fostering long-term wildlife sustainability in Bangladesh.

Commercial Trade and Conservation: DNA Barcoding of Wild Reticulated Python (Malayopython reticulatus) (Schneider, 1801) for Sustainable Management

Abstract The reticulated python, scientifically known as Malayopython reticulatus, is a prominent member of the Pythonidae family, exhibiting a wide geographic distribution across Southeast Asia. Like most python species, it is listed on Appendix II of CITES, allowing for regulated harvest and commercial export. However, inadequate monitoring of snakeskin origins within Malaysia has facilitated illegal trade, exacerbating concerns over population declines. Thus, this study aims to document the DNA barcoding of M. reticulatus in Pantai Penyabong, Johor, utilizing the COI gene marker of mitochondrial DNA (mtDNA). Observations revealed 11 reticulated pythons, with two successfully captured for blood sample extraction and amplification. Sequences obtained exhibited a high identity percentage in the NCBI GenBank database, supported by similar topologies in phylogenetic trees. These findings demonstrate the efficacy of molecular identification techniques in combating illegal wildlife trade. Governments and law enforcement agencies can enforce conservation laws and protect wild populations by verifying mislabeled python species. This study highlights the crucial role of DNA barcoding in wildlife forensics and conservation management, offering a rapid and reliable method for species identification and monitoring in the face of escalating threats.

Quantitative Synthesis of Microbe-Driven Acclimation and Adaptation in Wild Vertebrates.

Microorganisms associated with animals harbour a unique set of functional traits pivotal for the normal functioning of their hosts. This realisation has led researchers to hypothesise that animal-associated microbial communities may boost the capacity of their hosts to acclimatise and adapt to environmental changes, two eco-evolutionary processes with significant applied relevance. Aiming to assess the importance of microorganisms for wild vertebrate conservation, we conducted a quantitative systematic review to evaluate the scientific evidence for the contribution of gut microorganisms to the acclimation and adaptation capacity of wild vertebrate hosts. After screening 1974 publications, we scrutinised the 109 studies that met the inclusion criteria based on 10 metrics encompassing study design, methodology and reproducibility. We found that the studies published so far were not able to resolve the contribution of gut microorganisms due to insufficient study design and research methods for addressing the hypothesis. Our findings underscore the limited application to date of microbiome knowledge in vertebrate conservation and management, highlighting the need for a paradigm shift in research approaches. Considering these results, we advocate for a shift from observational studies to experimental manipulations, where fitness or related indicators are measured, coupled with an update in molecular techniques used to analyse microbial functions. In addition, closer collaboration with conservation managers and practitioners from the inception of the project is needed to encourage meaningful application of microbiome knowledge in adaptive wildlife conservation management.

Marine Fish Movement: home range sizes for commercially relevant species

Estimates of home range sizes for marine fishes are essential for designing and assessing the effects of spatial wildlife conservation policies and management interventions. However, in situ studies of marine species movement are challenging and often expensive, resulting in a paucity of data on the home range size of the vast majority of marine fishes. Here, we develop a set of new datasets, which we have collectively named Marine Fish Movement, that synthesises published empirically evaluated home ranges reported for adult marine fishes that interact with fisheries and leverage these data to estimate home range sizes for unstudied species. The empirical data contain estimated home range sizes (km2) for 193 species across 63 family groups from 179 studies published between 1971 and 2022. We use a random forest regression model to estimate home range sizes (km2) for 664 fished marine species currently lacking home range estimates. Marine Fish Movement can inform spatial interventions including the design and management of marine protected areas and dynamic fisheries management to meet sustainability goals.

Uncovering habitat associations and thresholds—insights for managing breeding waterfowl in Eastern Canada

ContextUnderstanding how habitat influences species abundance is crucial in developing ecologically sound wildlife conservation management plans. Exploring habitat associations and ecological thresholds in species’ responses allows for better conservation and management on a landscape-scale.ObjectivesThis work aimed to identify habitat drivers and response thresholds of waterfowl and waterbird species’ densities in eastern Canada to support key landscape-level decisions for habitat conservation and wetland management.MethodsWe developed predictive abundance models for 17 species across eastern Canada from 2001 to 2015 using data from four regional surveys and identified areas where prioritizing enhancement of wetlands would increase the breeding density of five priority waterfowl species.ResultsHabitat associations and spatial abundance patterns varied across species, but most species responded strongly to forest composition, agriculture, and wetland features. Threshold effects occurred and varied among species, yet generally once 14% of a plot was covered in wetlands, positive effects of increased wetland diminished for most species. Our results allow for the targeting of investments in increasing wetland area along portions of eastern Canada that provide the best opportunities to increase breeding densities for priority waterfowl species.ConclusionsUnderstanding species-habitat associations and response thresholds allows for landscape management and planning and prioritization of limited resources. We suggest that management and wetland enhancement efforts for waterfowl in eastern Canada should be guided by predictive models and response thresholds of key habitat attributes to best prioritize actions that will have the biggest positive impact on multiple species.

Impact of infectious diseases on wild bovidae populations in Thailand: insights from population modelling and disease dynamics.

The wildlife and livestock interface is vital for wildlife conservation and habitat management. Infectious diseases maintained by domestic species may impact threatened species such as Asian bovids, as they share natural resources and habitats. To predict the population impact of infectious diseases with different traits, we used stochastic mathematical models to simulate the population dynamics over 100 years for 100 times in a model gaur (Bos gaurus) population with and without disease. We simulated repeated introductions from a reservoir, such as domestic cattle. We selected six bovine infectious diseases; anthrax, bovine tuberculosis, haemorrhagic septicaemia, lumpy skin disease, foot and mouth disease and brucellosis, all of which have caused outbreaks in wildlife populations. From a starting population of 300, the disease-free population increased by an average of 228% over 100 years. Brucellosis with frequency-dependent transmission showed the highest average population declines (-97%), with population extinction occurring 16% of the time. Foot and mouth disease with frequency-dependent transmission showed the lowest impact, with an average population increase of 200%. Overall, acute infections with very high or low fatality had the lowest impact, whereas chronic infections produced the greatest population decline. These results may help disease management and surveillance strategies support wildlife conservation.

Anthropogenic, environmental and temporal associations with vertebrate road mortality in a wildland-urban interface of a biodiverse desert ecoregion.

Road mortality adversely affects wildlife populations. As urbanization and infrastructure densities expand, transportation and wildlife management aim to mitigate wildlife-vehicle conflicts while conserving biodiversity. Roadways in aridland ecosystems can invariably and adversely impact wildlife differently from temperate and other biomes, yet these rapidly urbanizing regions are understudied as are urban-rural gradients. We conducted road-cruise surveys (n = 204; 2018-2023) to assess anthropogenic, environmental, and temporal factors associated with vertebrate roadkill across the wildland-urban interface of Arizona's biodiverse Sonoran Desert ecoregion-already subjected to increased human development and climate change. Of n = 2019 vertebrates observed, 28.5% were roadkill. Increasing urbanization levels were associated with reduced vertebrate abundance on roads and increased road-killed endothermic vertebrates. Traffic volume was strongly associated with reduced vertebrate abundance and increased roadkill; additive effects on roadkill began at approximately 20 vehicles. Daily low temperature and/or relative humidity were also associated with roadkill across vertebrate groups. We provide empirical evidence to understand wildlife-roadkill associations across expanding wildland-urban interfaces to inform effective roadkill mitigation and wildlife conservation management strategies in biodiverse aridland regions. We recommend that managers mitigate or avoid development in rural areas that possess high biodiversity, valuable waterways or migration corridors, and populations of vulnerable species.

Climate change introduces threatened killer whale populations and conservation challenges to the Arctic.

The Arctic is the fastest-warming region on the planet, and the lengthening ice-free season is opening Arctic waters to sub-Arctic species such as the killer whale (Orcinus orca). As apex predators, killer whales can cause significant ecosystem-scale changes. Setting conservation priorities for killer whales and their Arctic prey species requires knowledge of their evolutionary history and demographic trajectory. Using whole-genome resequencing of 24 killer whales sampled in the northwest Atlantic, we first explored the population structure and demographic history of Arctic killer whales. To better understand the broader geographic relationship of these Arctic killer whales to other populations, we compared them to a globally sampled dataset. Finally, we assessed threats to Arctic killer whales due to anthropogenic harvest by reviewing the peer-reviewed and gray literature. We found that there are two highly genetically distinct, non-interbreeding populations of killer whales using the eastern Canadian Arctic. These populations appear to be as genetically different from each other as are ecotypes described elsewhere in the killer whale range; however, our data cannot speak to ecological differences between these populations. One population is newly identified as globally genetically distinct, and the second is genetically similar to individuals sampled from Greenland. The effective sizes of both populations recently declined, and both appear vulnerable to inbreeding and reduced adaptive potential. Our survey of human-caused mortalities suggests that harvest poses an ongoing threat to both populations. The dynamic Arctic environment complicates conservation and management efforts, with killer whales adding top-down pressure on Arctic food webs crucial to northern communities' social and economic well-being. While killer whales represent a conservation priority, they also complicate decisions surrounding wildlife conservation and resource management in the Arctic amid the effects of climate change.

Empirical Analysis of Factors Influencing Elephant Population Increases: A Case Study of Tanzania National Park

This study employs empirical analysis through linear regression to investigate the determinants of elephant population increases (EP). Utilizing a dataset comprising 255 observations, the research evaluates the impact of various predictor variables such as Elephant crime decrease (ECD), Elephant death decrease (EDD), Elephant poaching decrease (EPD), Elephant conflict increase (ECI), Elephant tracking improved (ETI), Patrol coverage increase (PCI), GIS coordination (GC), and Communication improves (CI) on Elephant population dynamics. The regression model's overall significance (F (8, 246) = 41.4, Prob > F = 0) indicates a robust explanation of variance in EP by the combined effect of predictors. Notably, Elephant death decrease, increased patrol coverage, and improved communication emerge as statistically significant predictors of EP. The findings underscore the importance of targeted interventions in reducing elephant mortality, enhancing patrolling efforts, and strengthening communication strategies for wildlife conservation management. This research contributes to the understanding of factors influencing elephant population dynamics, thereby assisting stakeholders such as wildlife conservation agencies, government bodies, and researchers in informed decision-making.

Applications of DNA Barcoding in Fisheries: A Review

The review article focuses on the widespread application of DNA barcoding in the fishery background. With the advancement in science and technology, there is a dire necessity for upgradation in approaches for taxonomy, wildlife conservation, and health management in the fishery industry. To reduce invasiveness, illegal fishing, and health complications in fish in both marine as well aquaculture ecosystems different required mitigative measures need to be enforced. DNA barcoding is one important tool in biological science. It involves the sequencing of a small DNA segment called a ‘barcode’ of 648 base pairs. In animals and protists, the specific barcode is the mitochondrial gene cytochrome oxidase Ⅰ (COⅠ or COX 1) and it has proven to be extremely effective in identifying metazoans such as birds, butterflies, fish, flies, and many other animal groups. The use of DNA Barcoding has been proven to be effective in taxonomical classification of every group of organisms. In fishery, the application of barcoding created an avenue in marine conservation and aquaculture caretaking.

Microplastics ingestion and endocrine disrupting chemicals (EDCs) by breeding seabirds in the east tropical Atlantic: Associations with trophic and foraging proxies (δ15N and δ13C)

In this study we found that endocrine disrupting chemicals (EDCs) were omnipresent in a tropical seabird community comprising diverse ecological guilds and distinct foraging and trophic preferences. Because EDCs tend to bioaccumulate within the food web and microplastics can absorb and release harmful chemical compounds, our findings draw attention to the potential threats to wildlife. Thus, the goal of this study was to investigate the role of plastic ingestion, trophic and foraging patterns (δ15N and δ13C) of five tropical seabird species breeding in sympatry, on the exposure to EDCs, namely Polybrominated diphenyl ethers (PBDEs), methoxylated polybrominated diphenyl ethers (MeO-PBDEs) and personal care products (PCPs, e.g., musk fragrances and UV-filters). Results indicated that microplastics occurrence and EDCs detection frequency varied among species. Microplastics occurrence was higher in species with dual and coastal foraging strategies. Preen oil had higher levels of MeO-PBDEs and PCPs, while serum had higher levels of PBDEs. In brown boobies, the correlation between microplastics and ∑PBDEs levels was significant, suggesting that microplastics ingestion is a key PBDEs route. Trophic position (δ15N) plays a key role in PBDEs accumulation, particularly in Bulwer's petrel, which occupies a high trophic position and had more specialized feeding ecology than the other species. MeO-PBDEs were linked to foraging habitat (δ13C), although the link to foraging locations deserves further investigation. Overall, our findings not only fill key gaps in our understanding of seabirds' exposure to microplastics and EDCs, but also provide an essential baseline for future research and monitoring efforts. These findings have broader implications for the marine wildlife conservation and pollution management in sensitive environments, such as the tropical regions off West Africa.

PandaGUT provides new insights into bacterial diversity, function, and resistome landscapes with implications for conservation

BackgroundThe gut microbiota play important roles in host adaptation and evolution, but are understudied in natural population of wild mammals. To address host adaptive evolution and improve conservation efforts of threatened mammals from a metagenomic perspective, we established a high-quality gut microbiome catalog of the giant panda (pandaGUT) to resolve the microbiome diversity, functional, and resistome landscapes using approximately 7 Tbp of long- and short-read sequencing data from 439 stool samples.ResultsThe pandaGUT catalog comprises 820 metagenome-assembled genomes, including 40 complete closed genomes, and 64.5% of which belong to species that have not been previously reported, greatly expanding the coverage of most prokaryotic lineages. The catalog contains 2.37 million unique genes, with 74.8% possessing complete open read frames, facilitating future mining of microbial functional potential. We identified three microbial enterotypes across wild and captive panda populations characterized by Clostridium, Pseudomonas, and Escherichia, respectively. We found that wild pandas exhibited host genetic-specific microbial structures and functions, suggesting host-gut microbiota phylosymbiosis, while the captive cohorts encoded more multi-drug resistance genes.ConclusionsOur study provides largely untapped resources for biochemical and biotechnological applications as well as potential intervention avenues via the rational manipulation of microbial diversity and reducing antibiotic usage for future conservation management of wildlife.6KUVWwvzFXHebBwiyZoAvnVideo

FOOD SUPPLEMENTATION INCREASES MULE DEER (Odocoileus hemionus eremicus) RETENTION AT THE RANCHO SAN HUBERTO WILDLIFE CONSERVATION MANAGEMENT UNIT, SONORA, MEXICO

Artificial food and water supplementation programs are common in Wildlife Conservation Management Units (UMAs) in arid northern Mexico to attract and retain mule deer as quality trophies. However, implementing these actions represents a high economic cost, and there is no convincing evidence of their effectiveness. This study evaluated the effect of food and water supplementation by capture-mark-recapture using camera traps at the UMA San Huberto, Sonora, Mexico. During the winter of 2015-2016, male mule deer counts and detection histories were collected at 62 photo-trapping stations spread across four supplementation treatments: 1) water and food, 2) water, 3) food, and 4) no supplementation. In addition, to assess the impact of natural vegetation on trough and feeder utilization on the ranch, the Normalized Difference Vegetation Index was calculated using Landsat 8 satellite images. A log-Poisson regression model for deer counts per photo-trapping station found that food supplementation increased mule deer numbers by 42 % when compared to stations without food supplementation. Vegetation biomass had no effect on the frequency of use of feeders and waterers in any of the treatments. According to the multistate model for detection histories, male mule deer at waterers receiving food-only supplementation are more likely to remain in that treatment than to move to either of the other two treatments (water and feed or water). This finding suggests that food-only supplementation is more effective in retaining male mule deer.

Conservation of skinks in New Zealand cities

Urbanisation dramatically alters ecosystems, disrupting key processes and threatening species persistence. Despite growing knowledge of the impacts of cities on wildlife, particularly for birds and mammals, there remains a paucity of research on how urbanisation impacts other taxa, including reptiles. We examined how urbanisation affects skink communities across multiple New Zealand cities by undertaking pitfall trapping surveys in a range of habitats. Of the 20 endemic species thought to have been present historically in the cities, only four were captured during surveys, Oligosoma aeneum in Hamilton; O. polychroma, O. aeneum, and O. ornatum in Wellington; O. polychroma in Nelson; and O. aff. polychroma Clade 5 in Dunedin. Our results reveal highly variable patterns of occupancy, abundance, and complex associations with key threats and habitat modifications. Sites in Nelson and Wellington were much more likely to record skinks than Hamilton and Dunedin, and modelling showed abundance of O. polychroma was positively related to rat tracking rates when grass cover was low but showed a negative relationship when grass cover was high. O. polychroma body condition was negatively associated with the proportion of urban land cover (built up areas or transport infrastructure). The low number of captures of several species is concerning and long-term monitoring is needed to assess the trajectories of these vulnerable populations. Effective conservation management of urban wildlife requires knowledge of where populations exist and how urban processes affect persistence. For understudied urban-dwelling taxa such as reptiles, the lack of this information may be putting populations at risk.

Landscape determinants of genetic structure for Schizopygopsis younghusbandi in the Yarlung Tsangpo River drainage, Tibetan Plateau

Unraveling the drivers that shape landscape genetics could help better understand the relationship between genetic structure and environmental factors and provide a scientific basis for wildlife conservation and habitat management. In this study, a typical coldwater fish on the Tibetan Plateau, Schizopygopsis younghusbandi, was selected to explore its spatial genetic structure and the determinant factors using mitochondrial cytochrome b gene as the molecular marker. The results showed a total of 80 haplotypes and 90 variable sites among 663 individuals from 25 geographical populations, with haplotype diversities (Hd) ranging from 0.636 to 0.936 and nucleotide diversities (Pi) ranging from 0.00160 to 0.00450. Significant positive correlations were observed between Hd and spatial factors (longitude and elevation) as well as the majority of single or combined bioclimatic factors. The correlations between Pi and these factors were inconclusive, revealing that Hd was more sensitive than Pi to population dynamic fluctuations. The phenomenon of greater genetic diversity in higher, colder and drier areas was consistent with the central-marginal hypothesis for this highland-origin species. The majority of genetic differentiation indices Fst indicated moderate differentiation, showing genetic heterogeneity among geographical populations. Fst was positively correlated with variations of elevation and the first principal component of bioclimatic factors, showing a weakly positive relationship with river-network distance, which demonstrated that the Isolation-by-Environment model could explain this genetic structure. In conclusion, as a highly specialized coldwater fish, S. younghusbandi retained higher genetic diversity in higher, colder and drier areas, and population differentiation was mostly related to differences of local bioclimate. For future conservation, we advocate that different geographical populations be treated as separate conservation units, with close attention paid to marginal populations, which are more vulnerable to external disturbances and exhibited less genetic variation.

Assessment of habitat suitability and connectivity across the potential distribution landscape of the sambar (Rusa unicolor) in Southwest China

Habitat suitability assessment is the basis for wildlife conservation management and habitat restoration. It is a useful tool to understand the quality of wildlife habitat and its potential spatial distribution. In order to reveal the habitat suitability and connectivity of sambar (Rusa unicolor) to promote species and biodiversity conservation, this study collected records of sambar (Rusa unicolor) from over 2,000 camera traps in the forests of Southwest China in the past 5 years to assess the overall situation of their habitat. The results of the species distribution model revealed that the suitable habitat area for sambar in the five major mountain ranges (Minshan, Qionglai, Daxiangling, Xiaoxiangling, and Liangshan) in Southwest China is 18,231 km2, accounting for 17.02% of the total area. The most suitable habitat of sambar is primarily distributed in Qionglai, as well as the intersection areas of Daxiangling, Xiaoxiangling, and Minshan. The temperature annual range, temperature seasonality, elevation, and distance to road were important factors affecting the distribution of suitable habitat for sambar. Analysis of landscape pattern shows that there were 273 habitat patches, with a maximum patch area of 9,983 km2, accounting for 54.8% of the total suitable habitat area. However, the segmentation index and separation index of each habitat patch were 0.99 and 106.58, respectively, indicating a relatively high habitat fragmentation in the study area. The results of habitat connectivity analysis showed that the Qionglai mountains have the largest suitable habitat area and the highest connectivity among habitat patches. However, habitat connectivity between the five mountains is very low, suggesting that gene flow among these mountain ranges is probably limited. We therefore recommend strengthening protection of sambar and their habitat, with special attention to the establishment of corridors between the different mountain populations.

Consumption of Diets Based on Native Forages, Pumpkin and Corn by Collared Peccary (Pecari tajacu)

Aims: The study was carried out to evaluate the effect of the consumption of corn-based diets mixed with Brosimum alicastrum or pumpkin (Cucurbita sp) forage, on live weight, in the number of erythrocytes, leukocytes and serum urea nitrogen, in collared peccaries (Pecari tajacu) in captivity.
 Study Design: A four-treatment longitudinal comparative experiment with a repeated measures design was applied.
 Place and Duration of Study: Xmatkuil Wildlife Conservation Management Unit, in Mérida, Yucatán, Mexico, for three months.
 Methodology: Nine adult female collared peccaries (Pecari tajacu) were subjected to voluntary consumption of the following diets: T1: Diet with 60% of corn and 40% dry B. alicastrum forage, T2: Diet with 40% corn and 60% dry B. alicastrum, T3: Diet with 60% corn and 40% fresh pumpkin on dry matter basis, T4: Diet with 40% corn and 60% fresh pumpkin, for 14 days for each treatment. The dry matter intake of each treatment, live weight, number of leukocytes, erythrocytes and serum urea nitrogen in each of the specimens were measured. Response variables in each treatment were compared with repeated measures ANOVA or Friedman's test if parametric analysis requirements were not met.
 Results: There was no significant difference between live weights in each treatment (P=05) but there was a significant difference in dry matter intake between treatments. There was no significant difference in erythrocyte levels between treatments. There was no difference in leukocyte levels between treatments (P=0.05), but there was a difference in the means of urea nitrogen between treatments.
 Conclusion: Pumpkin diets with corn show higher levels of dry matter intake, higher levels of urea Nitrogen and a greater number of erythrocytes than diets with corn and dry B: alicastrum, so it is suggested that diets with pumpkin and corn are more suitable than with corn and dry B. alicastrum.

Invasion of annual grasses following wildfire corresponds to maladaptive habitat selection by a sagebrush ecosystem indicator species

Numerous wildlife species within semi-arid shrubland ecosystems across western North America are experiencing substantial habitat loss and fragmentation. These changes in habitat are often attributed to a diverse suite of factors including prolonged and increasingly severe droughts, conifer expansion, anthropogenic development, domestic and feral livestock grazing, and invasion of exotic annual grasses, which promotes increased wildfire frequency and severity. Greater sage-grouse ( Centrocercus urophasianus ; hereafter, sage-grouse) are considered an indicator of sagebrush ecosystem health and have experienced widespread population decline associated with habitat loss and degradation, as well as changes in predator communities. Our objectives were to model and map sage-grouse habitat selection and survival during the important brood-rearing life stage in relation to landscape-scale environmental predictors. Furthermore, we sought to understand impacts of wildfire and annual grass invasion on brood habitat, as these accelerated disturbance regimes are a primary cause of habitat loss within the Great Basin region of the USA. We used a hierarchical Bayesian modeling framework to estimate resource selection functions and survival for early and late brood-rearing stages of sage-grouse in relation to a broad suite of habitat characteristics evaluated at multiple spatial scales within the Great Basin from 2009 to 2019. Sage-grouse selected for greater perennial grass cover, higher relative elevations, and areas closer to springs and wet meadows during both early and late brood-rearing. Terrain characteristics, including heat load and aspect, were important in survival models, as was variation in shrub height. We also found strong evidence for higher survival for both early and late broods within previously burned areas, but survival within burned areas decreased as annual grass cover (i.e. cheatgrass, Bromus tectorum ) increased. This interaction effect demonstrates how invasion of annual grasses into burned areas, which has become prevalent in Great Basin sagebrush ecosystems, can lead to maladaptive habitat selection by brood-rearing greater sage-grouse. Understanding these complex relationships aids wildlife conservation and habitat management as wildfire and annual grass cycles continue to accelerate across western ecosystems.