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Artykuły w czasopismach na temat "Wildlife and habitat management"

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Belovsky, Gary E. "Insights for caribou/reindeer management using optimal foraging theory". Rangifer 11, nr 4 (1.10.1991): 7. http://dx.doi.org/10.7557/2.11.4.987.

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Optimal foraging theory is useful to wildlife managers, because it helps explain the nutritional value of different habitats for wildlife species. Based upon nutritional value, the use of different habitats can be predicted, including how factors such as insect harassment, predation and migration might modify habitat selection. If habitat value and use can be understood, then changes in habitat availability which are of concern to wildlife managers can be assessed. The theory is used to address diet choice and habitat use of caribou/reindeer. Diet choice is examined in terms of lichen composition of the diet and is demonstrated to be a function of daily feeding time, food abundance and digestive capacity. The diet choice model is then used to assess the nutritional profitability of different habitats and which habitat should be preferred based upon nutritional profitability. Caribou/reindeer use of habitats is demonstrated to be easily modified by insect harassment and predation which change the nutritional profitability of habitats differentially. The same type of approach could be used to explain migratory behaviour; however, the needed parameter values are unavailable. The results of this analysis lead one to question some common conceptions about caribou/reindeer ecology.
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Suchant, Rudi, Rainer Baritz i Vero Braunisch. "Wildlife habitat analysis – a multidimensional habitat management model". Journal for Nature Conservation 10, nr 4 (styczeń 2003): 253–68. http://dx.doi.org/10.1078/1617-1381-00026.

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Thompson, Ian D. "The importance of superior-quality wildlife habitats". Forestry Chronicle 80, nr 1 (1.02.2004): 75–81. http://dx.doi.org/10.5558/tfc80075-1.

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While animals may use many habitat types, relatively few are preferred and fewer yet are superior in quality (referring to individual fitness as the measure of quality). Historical reduction in habitat quality for some wildlife species has occurred such that we may now have limited reference to original superior-quality habitats. As time passes, managers may be unaware that superior habitats are slowly disappearing and that the slow but cumulative change is significant to a species at the population level. The perception of superior-quality habitat also changes with each successive generation of managers based on their experiences. This paper raises the concern that retrospective work may often be required to determine past forest habitats and associated animal populations to avoid the risk of falling into a trap of not recognizing ever-declining habitat quality through time and relegating animals to what is in fact much poorer quality habitat than those to which they are actually best adapted. Further, the relationship between relative abundance and habitat quality may often be uncertain owing to maladaptive habitat selection by animals, inappropriate survey timing or interannual population differences. While we have begun to appreciate aspects of habitat selection for many forest species, few data are yet available that relate selected habitats to fitness of individual animals. Hence, while we may have models to predict habitat use, considerable research remains to be done to be able to predict long-term sustainability of species in managed landscapes. Key words: habitat quality, forest management, sustainability, biodiversity
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Kyber-Robison, Ashley. "Ecologically Sound and Aesthetically Pleasing—Aesthetic Design for Effective Wildlife Habitats". HortScience 31, nr 4 (sierpień 1996): 671b—671. http://dx.doi.org/10.21273/hortsci.31.4.671b.

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In the past decade, there has been a growing trend toward conservation and management of wildlife and the environment. Growing suburban development has increased displacement of native animals from their natural habitats; thus, there is an ever-increasing need to manage not only existing forests and large land holdings for wildlife but also developed land areas. The idea of “backyard habitat” gardening and the “green movement” in golf course design address these issues of wildlife habitat and provide design solutions that hail the growing need for natural habitats. The same principles also can be used in commercial landscape design and ultimately in reclaiming grazing pasture land for dual habitat by farm animals and native wildlife. Just as the “American Lawn” provides minimal support for wildlife due to its lack of diversity, the manicured pasture of the American farm can also be limiting for wildlife. Providing areas of cover for nesting and protection can benefit the “kept” and “unkept” animals inhabiting the area. Furthermore, the biophilic landscape provides a psychologically healthy biosphere for the personnel working on the farm. In designing landscape plans with the primary goal of aesthetic enhancement of university experimental research farms, the principals of water conservation, integrated pest management, and providing wildlife cover and food are applied to develop an aesthetically pleasing design that also provides habitat for displaced wildlife. The intent of the project is to explore the possibilities in designing successful habitats for wildlife while preserving the ultimate goal of livestock production. Implementing successful ecologically sound landscapes enable the land-grant university to teach the public the benefits of wildlife conservation and the importance of its incorporation to all aspects of land use.
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Morris, Douglas W. "How can we apply theories of habitat selection to wildlife conservation and management?" Wildlife Research 30, nr 4 (2003): 303. http://dx.doi.org/10.1071/wr02028.

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Habitat-selection theory can be applied to solve numerous problems in the conservation and management of wildlife. Many of the solutions involve the use of habitat isodars, graphs of densities in pairs of habitats such that expected fitness is the same in both. For single species, isodars reflect differences in habitat quality, and specify the conditions when population density will, or will not, match the abundance of resources. When two or more species co-occur, isodars can be used to assess not only whether the species compete with one another, but also differences in habitat, in habitat selection, and in the functional form of density-dependent competition. Isodars have been applied to measure scales of habitat selection, the presence or absence of edge effects, as well as the number of habitats that species recognise in heterogeneous landscapes. Merged with foraging behaviour, isodars reveal the relative roles of habitat selection, spatial structure, and environmental stochasticity on local populations. Habitat-selection models can be linked similarly with theories of patch use to assess the underlying cause of source–sink dynamics. Isodars can detect and measure Allee effects, describe human habitat selection, and use human occupation of habitat as a leading indicator of threatened biodiversity. Even so, we have only begun to reveal the potential of habitat selection, and other optimal behaviours, to solve pressing problems in conservation and management.
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Salwasser, Hal. "Integrating Wildlife into the Managed Forest". Forestry Chronicle 61, nr 2 (1.04.1985): 146–49. http://dx.doi.org/10.5558/tfc61146-2.

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Integrating wildlife habitat concerns into multiple-use forest management requires four things: 1) the right attitude, 2) a process for systematic resource coordination, 3) models that relate forest conditions to wildlife outputs, and 4) the effective use of monitoring to support an adaptive management strategy. These four things reflect that resource managers must first want to make forestry-wildlife coordination work, that they need a mechanism for doing it, that they need habitat criteria for meeting wildlife goals, and that we only know enough at this time to get pointed in the right direction.Comprehensive goals for timber and wildlife are set early in successful forestry-wildlife integration. The goals provide for maintaining habitat and wildlife diversity while simultaneously producing consumable surpluses of timber and game in relation to demands for those products. Comprehensive inventories and vegetation growth and yield models are used to analyze the current management situation and show the need for actions to meet goals. The wildlife yield models are species-habitat relationships functions that relate habitat conditions to wildlife outputs by species. The management plan developed constitutes a coordinated set of resource objectives and the schedule of practices that will achieve them in an efficient way. Monitoring the effects of the practices is used to learn whether assumptions and models used in planning need to be revised, and whether the course of management needs to be adjusted to meet the goals. Key words: Forest management, Wildlife management, integration, Wildlife habitat, Multiple use planning.
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Zobel, John M., Alan R. Ek i Christopher B. Edgar. "Assessing the Impact of 41 Years of Forest Management on Native Wildlife Habitat in Minnesota, USA". Journal of Forestry 119, nr 2 (21.01.2021): 164–76. http://dx.doi.org/10.1093/jofore/fvaa050.

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Abstract Over the last four decades, forest management goals have transitioned to multiuse objectives, begging the question of their impact on wildlife habitat. Using USDA Forest Service Forest Inventory and Analysis data and the WHINGS (Wildlife Habitat Indicator for Native Genera and Species) model, the trends in wildlife habitat were quantified from 1977 to 2018 across Minnesota. Statewide, 35.5% of species experienced significant improvement in habitat, 29% significant reductions, and 35.5% nonsignificant change. The extent of habitat (acreage) increased for 100% of species, but the quality declined for 63% of species. Results were explained by the reduction in acreage of larger size classes of the aspen, balsam, and birch forest type and increases in smaller, younger forest area. Specifically, forest management that converted aspen stands to other forest types benefited certain wildlife species over others. Future forest management should consider the balance between the habitat requirements of the diverse native species in Minnesota. Study Implications Trends in forest wildlife habitat over the last four decades across Minnesota highlight that forest management often favors one species at the expense of another. Statewide, wildlife species with preferences for larger, older aspen experienced diminished habitat, whereas habitat for species preferring younger forest types or older nonaspen types increased. Regionally, the forested ecoregions in Minnesota (northeast) generally saw reduced habitat, whereas the prairie/agricultural regions (south and northwest) saw the largest increases. Through this and further applications, forest and wildlife managers can rapidly assess the habitat implications of proposed management, whether for environmental review, forest planning, or harvest scheduling.
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Kavwele, Cyrus M., Johnstone K. Kimanzi i Mwangi J. Kinyanjui. "Impacts of Bush Encroachment on Wildlife Species Diversity, Composition, and Habitat Preference in Ol Pejeta Conservancy, Laikipia, Kenya". International Journal of Ecology 2017 (2017): 1–6. http://dx.doi.org/10.1155/2017/5620125.

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Savannah ecosystems are currently facing a biome shift that changes grasslands to woody dominated landscapes, attributable to habitat degradation. In Ol Pejeta Conservancy (OPC), Euclea divinorum, an unpalatable and invasive woody species, is expanding to former savannah ecosystems with potential effects on herbivores key resources, wildlife species diversity, composition, and habitat use. We investigated wildlife species diversity, composition, and habitat preference or avoidance by wildlife in the conservancy. Infrared camera traps were deployed at the centroids of 2 km by 2 km, 50 cm above ground surface for 14 days and nights with 9 camera traps in each habitat type. Shannon wiener index revealed that wildlife species diversity was highest in E. divinorum dominated habitats and lowest in open grassland. Hierarchical Cluster Analysis revealed level of similarity in wildlife species composition between E. divinorum and mixed bushland. Jacobs index revealed that E. divinorum and mixed bushland were avoided by all guilds; however E. divinorum was significantly avoided while A. drepanolobium and open grassland were both preferred by all guilds. However, A. drepanolobium dominated habitats were significantly preferred compared to open grasslands. The findings are useful in management of sustainable ecosystems.
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Iliyasu Simon, Jennifer Che i Lynne Baker. "University campuses can contribute to wildlife conservation in urbanizing regions: a case study from Nigeria". Journal of Threatened Taxa 12, nr 13 (26.09.2020): 16736–41. http://dx.doi.org/10.11609/jott.6316.12.13.16736-16741.

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Globally, colleges and universities are increasingly mandating sustainability and environmental protection into their practices. To date, such institutions have focused their efforts on recycling and energy-use reduction and less on the management and conservation of wildlife and wildlife habitats. However, in an increasingly urbanizing world, well-managed campuses can provide habitat and even refuge for wildlife species. On the campus of a sustainability-minded university in Nigeria, we used camera traps to determine the presence of wildlife and used occupancy modeling to evaluate factors that influenced the detectability and habitat use of two mammals for which we had sufficient detections: White-tailed Mongoose Ichneumia albicauda and Gambian Rat Cricetomys gambianus. Our intent was to gather baseline data on campus wildlife to inform future research and make recommendations for maintaining wildlife populations. We detected wildlife primarily within less-disturbed areas that contained a designated nature area, and the presence of a nature area was the key predictor variable influencing habitat use. No measured variables influenced detectability. This study supports other research that highlights the importance of undisturbed or minimally disturbed natural habitats on university campuses for wildlife, especially in increasingly built-up and developed regions. We recommend that institutions of higher education devote greater resources to making campuses wildlife-friendly and increase opportunities for students to engage in campus-based wildlife research and conservation and other sustainability-related programs.
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Reilly, Brian. "Practical Techniques for Habitat and Wildlife Management". African Journal of Range & Forage Science 33, nr 4 (listopad 2016): 281–82. http://dx.doi.org/10.2989/10220119.2016.1275041.

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Rozprawy doktorskie na temat "Wildlife and habitat management"

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Nowak, James. "Integrated Population Models and Habitat Metrics for Wildlife Management". Doctoral thesis, Université Laval, 2015. http://hdl.handle.net/20.500.11794/26023.

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La gestion des espèces est entièrement dépendante de notre capacité à évaluer les décisions de gestion et de les corriger si nécessaire. Dans un monde idéal les gestionnaires auraient une connaissance extensive et mécanistique des systèmes qu’ils gèrent et ces connaissances seraient mises à jour de façon continue. Dans la réalité, les gestionnaires doivent gérer les populations et développer des objectifs de populations en dépit de leur connaissance imparfaites et des manques de données chronique. L’émergence de nouveaux outils statistiques ouvrent toutefois la porte à de nouvelles possibilités ce qui permet une gestion plus proactive de la faune. Dans le Chapitre 1, j’ai évalué l’efficacité de modèles intégrés de populations (MIP) à combler des lacunes dans notre connaissance en présence de données limitées et de modèles de populations mal spécifiés. J’ai démontré que les MIP peuvent maintenir une précision élevée et présenter un biais faible, et ce dans une large gamme de conditions. Dans le chapitre 2, j’ai développé une approche de MIP qui inclut des effets aléatoires entre les différentes populations. J’ai constaté que les effets aléatoires permettent améliorer considérablement les performances des algorithmes d'optimisation, produisent des estimations raisonnables et permettent même d'estimer les paramètres pour les populations avec des données très limitées. J’ai par la suite appliqué le modèle à 51 unités de gestion du Wapiti en Idaho, USA afin de démonter son application. La viabilité des populations à long terme est généralement réalisé à grâce à des manipulations d’habitat qui sont identifiées grâces à des méthodes de sélection des ressources. Les méthodes basées sur la sélection des ressources assume cependant que l’utilisation disproportionnée d’une partie du paysage reflète la volonté d’un individu de remplir une partie de son cycle biologique. Toutefois, dans le troisième chapitre j’ai démontré que des simples mesures d’habitat sont à mieux de décrire la variation dans la survie des Wapitis. Selon, mes résultats, la variation individuelle dans la sélection des habitats était le modèle qui expliquait le mieux la corrélation entre les habitats et le succès reproducteur et que les coefficients de sélection des ressources n’étaient pas corrélés à la survie.
Successful management of harvested species critically depends on an ability to predict the consequences of corrective actions. Ideally, managers would have comprehensive, quantitative and continuous knowledge of a managed system upon which to base decisions. In reality, wildlife managers rarely have comprehensive system knowledge. Despite imperfect knowledge and data deficiencies, a desire exists to manipulate populations and achieve objectives. To this end, manipulation of harvest regimes and the habitat upon which species rely have become staples of wildlife management. Contemporary statistical tools have potential to enhance both the estimation of population size and vital rates while making possible more proactive management. In chapter 1 we evaluate the efficacy of integrated population models (IPM) to fill knowledge voids under conditions of limited data and model misspecification. We show that IPMs maintain high accuracy and low bias over a wide range of realistic conditions. In recognition of the fact that many monitoring programs have focal data collection areas we then fit a novel form of the IPM that employs random effects to effectively share information through space and time. We find that random effects dramatically improve performance of optimization algorithms, produce reasonable estimates and make it possible to estimate parameters for populations with very limited data. We applied these random effect models to 51 elk management units in Idaho, USA to demonstrate the abilities of the models and information gains. Many of the estimates are the first of their kind. Short-term forecasting is the focus of population models, but managers assess viability on longer time horizons through habitat. Modern approaches to understanding large ungulate habitat requirements largely depend on resource selection. An implicit assumption of the resource selection approach is that disproportionate use of the landscape directly reflects an individual’s desire to meet life history goals. However, we show that simple metrics of habitat encountered better describe variations in elk survival. Comparing population level variation through time to individual variation we found that individual variation in habitat used was the most supported model relating habitat to a fitness component. Further, resource selection coefficients did not correlate with survival.
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Rinehart, Kurt. "Analytical And Decision Tools For Wildlife Population And Habitat Management". ScholarWorks @ UVM, 2015. http://scholarworks.uvm.edu/graddis/393.

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The long-term success of wildlife conservation depends on maximizing the benefits of limited funds and data in pursuit of population and habitat objectives. The ultimate currency for wildlife management is progress toward long-term preservation of ample, wild, free wildlife populations and to this end, funds must be wisely spent and maximal use made from limited data. Through simulation-based analyses, I evaluated the efficacy of various models for estimating population abundance from harvest data. Because managers have different estimators to choose from and can also elect to collect additional data, I compared the statistical performance of different estimation strategies (estimator + dataset) relative to the financial cost of data collection. I also performed a value of information analysis to measure the impact that different strategies have on a representative harvest management decision. The latter analysis is not based on the cost of data, but rather on the management benefit derived from basing decisions on different datasets. Finally, I developed a hybrid modeling framework for mapping habitat quality or suitability. This framework makes efficient use of expert opinion and empirical validation data in a single, updatable statistical structure. I illustrate this method by applying it across an entire state.
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Swanson, Kevin Allen. "Movements, Survival, and Habitat Relationships of Snowshoe Hares Following Release in Northeast Ohio". The Ohio State University, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=osu1364225059.

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Rittenhouse, Chadwick D. "Wildlife response to spatial and temporal changes in forest habitat". Diss., Columbia, Mo. : University of Missouri-Columbia, 2008. http://hdl.handle.net/10355/5537.

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Thesis (Ph. D.)--University of Missouri-Columbia, 2008.
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on June 15, 2009) Vita. Includes bibliographical references.
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Fournier, Auriel Maria VanDerLaar. "Phenology, Habitat Use, and the Impacts of Wetland Management on Autumn Migrating Rails in Missouri". Thesis, University of Arkansas, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10261753.

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Rails (Family: Rallidae) are among the least studied birds in North America, in large part due to their elusive nature. As a wetland-dependent species, understanding the timing of their migration and their habitat needs during migration is especially important since management needs to be timed to balance the needs of many species. I developed and verified a new distance sampling based nocturnal ATV spotlight survey because traditional call-broadcast surveys are not effective during autumn migration because of the drop off in call rate after the breeding season. These surveys allow us to ask point-level questions about what habitats rails select during migration and how it changes over time. Through these standardized surveys from 2012-2016 across 11 public properties in Missouri, USA, I documented the migratory timing and habitat use of migratory rails. Sora (Porzana carolina) have a wide migratory window, beginning in early August and continuing through the end of October with a peak in late September. Virginia Rail (Rallus limicola) and Yellow Rails (Coturnicops noveboracensis) have shorter migratory periods, from late September through the end of October. Rails, especially Sora, migrate earlier than waterfowl, which can create a mismatch of habitat needs. We performed a 3 year experiment to examine the response of Sora and waterfowl to early autumn wetland flooding. Sora responded positively without a negative impact on waterfowl. I used monitoring data to create species distribution models to inform estimates of migratory connectivity for all three species using stable hydrogen isotopes. Sora and Yellow Rails were estimated to migrate generally north-south, with Virginia Rails coming from a wider east-west range. Through better understanding the migratory connectivity, timing and habitat use of rails in the autumn I provide a foundation to inform conservation and management of these fascinating and elusive birds. We provide a description of all variables used (Appendix II), GPS data of survey tracks and detection points (Appendix III), data sets of bird observation points, survey data, and vegetation information (Appendix IV), data sets of stable hydrogen isotope data (Appendix V), data sets of species distribution models (Appendix VI).

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Trulove, Nicholas F. "Social and Scientific Factors Impacting Mule Deer Habitat Conservation in the Intermountain West". Thesis, Prescott College, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=1539500.

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For mule deer (Odocoileus hemionus) in the Intermountain West, alterations to habitat are outpacing strategies to mitigate human disturbance on critical seasonal ranges and migration routes.

Conserving mule deer habitat requires cooperation between a diverse group of stakeholders, state wildlife agencies, and federal land management agencies. The first chapter of this thesis explores the current and historical relationship between state wildlife agencies, citizen stakeholders, and federal agencies in order to highlight opportunities to improve cooperative habitat conservation in the United States. Conservation is a result of social, political, and economic action, but relies upon science to inform policy. The second chapter explores the seasonal habitat use of mule deer in southwestern Wyoming. In response to low fawn recruitment, the Wyoming Game and Fish Department deployed 15 GPS collars on adult female mule deer in an effort to enhance knowledge of mule deer population dynamics, migrations, and habitat use. The study captured two winter climate regimes, with greater winter severity during the 2010-11 winter compared to the winter of 2011-12. Deer migrated an average of 23.9 km (SE = 2.2) between seasonal ranges, and completed spring migrations nearly one month earlier following the milder winter of 2011-12 (t19 = 5.53, df = 19, P ≤ 0.001). Pooled, the average area of winter ranges (1057 ha, SE = 103, n = 26) was larger than summer ranges (423 ha, SE = 51 ha, n = 25) (t = −5.44, df = 49, P ≤ 0.001), with no increase or decrease in size of seasonal ranges detected between years (P = 0.243) according to a post-hoc Tukey HSD test. Between years, deer were observed to shift the geographic center of winter ranges (2.9 km, SE = 1.1, n = 12) to a larger degree than summer ranges (0.4 km, SE = 0.1, n = 12) (t = −2.20, df = 22, P = 0.040). Survival and pregnancy rates (86% and 96%, respectively) correlated closely with other mule deer studies, and neither factor appears to negatively impact population growth.

Identifying seasonal ranges and migration routes, and quantifying seasonal habitat use, will assist Wyoming Game and Fish Department efforts to protect mule deer seasonal habitats and migration routes, and direct vegetation manipulations intended to improve the nutritional quality of habitats. On average, winter ranges included a later percentage of shrub-dominated habitat (83.8%, SE = 0.3, n = 26) than summer ranges (57.5%, SE = 2.0, n = 25) (t = −4.42, df = 49, P ≤ 0.001). Summer ranges averaged a greater proportion of agricultural lands (2.8%, SE = 1.1, n = 25) and aspen (Populus tremuloides ) habitats (9.0%, SE = 2.2, n = 25) than winter ranges (0.1%, SE = 0.1, n = 26 and 0.2%, SE = 0.0, n = 26, respectively) (t = 3.03, df = 49, P = 0.004 and t= 3.86, df = 49, P ≤ 0.001, respectively). Mule deer ranges are primarily located on Bureau of Land Management (73%, SE = 2.8, n = 51) and privately owned (17.3%, SE = 2.9, n = 51) lands, highlighting opportunities for cooperative partnerships for mule deer habitat conservation.

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Collins, Rita. "Urban Coyote (Canis latrans) Ecology| Diet, Activity, and Habitat Use". Thesis, California State University, Long Beach, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10826343.

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Non-habituated coyotes (Canis latrans) avoid direct interactions with humans. Reliance on human food sources has been linked to gradual habituation, a precursor to conflict and attacks on domestic pets and humans. Diet and activity patterns of urban coyotes inhabiting natural fragments in Long Beach, CA were monitored through scat collection and camera trapping over a year (Aug 2016 – Aug 2017). Local urban coyotes are relying predominately on natural foods, with an increase in mammalian prey in the wet season and an increase in vegetation and insect consumption in the dry season. Anthropogenic items, food and food related inedible items, appeared in 14% of scats overall, with no significant seasonal change. Cat remains were found in 14% of scat samples, but only triggered cameras once throughout the 2,857 camera nights of the study. Coyote activity was centered on nights in both seasons, with greater dawn activity in the dry season, indicating an avoidance of peak human activity. This reliance on natural foods and avoidance of human activity reduces the opportunities for human-wildlife conflicts in our local area.

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Dunfey-Ball, Kyle Robert. "Moose Density, Habitat, and Winter Tick Epizootics in a Changing Climate". Thesis, University of New Hampshire, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10262491.

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Unregulated hunting and habitat loss led to a near extirpation of moose (Alces alces) in New Hampshire in the 1800s. After state protection in 1901, the estimated population increased slowly to ∼500 moose in 1977, then increased rapidly in the next 2 decades to ∼7500 following an increase in browse habitat created by spruce budworm (Choristoneura fumiferana ) and related timber salvage operations, and then halved from 1998-2016 despite highly available optimal habitat. The declining population was partially related to the specific management objective to reduce moose-vehicle collisions, and a possible change in deer hunter and moose behavior that influence population estimates. But given the substantial decline in productivity and condition of cows, and frequent episodes of high calf mortality in April, the primary cause of decline was presumed to be is an increase in winter tick abundance.

This study examined the relationships among moose density, optimal habitat, weather/ground conditions, winter tick abundance, and natal dispersal in northern New England. Comparing movement data from the previous (2002-2006) and current (2014-2016) productivity studies in New Hampshire and Maine, the distance of natal dispersal, home and core range size, and home and core range overlap did not significantly (P > 0.05) change despite an increase in optimal habitat and a decrease in moose density.

Geographic changes in tick abundance were related to an interaction between moose density, and the onset and length of winter. Annual changes in tick abundance in northern New Hampshire are driven by desiccating late summer conditions, as well as the length of the fall questing season. Lower precipitation (6.4 cm) and higher minimum temperatures (9.8 °C) specifically concentrated during larval quiescence from mid-August through mid-September reduces winter tick abundance and the likelihood of an epizootic event. The onset of winter, defined by the first snowfall event (> 2.54 cm), influenced the length of the questing season relative to the date of long-term first snowfall event (14 November). In the epizootic region, average winter tick abundance on moose harvested in mid-October indicated a threshold of 36.9 ticks, above which an epizootic is like to occur unless an early snowfall event shortened the fall questing season. Optimal habitat created by forest harvesting was produced at an annual rate of 1.3% (1999-2011) and is not considered limiting in northern New Hampshire, but likely concentrates moose density locally (∼4 moose/km2) facilitating the exchange of winter ticks. In northern New Hampshire, snow cover late into April did not reduce tick abundance in the following year and cold temperatures (< 17 °C) that induced replete adult female mortality are extremely rare in April.

Given a continuation of warming climate and conservative moose harvest weather conditions and high local moose densities will continue to favor the life cycle of winter ticks, increasing the frequency of winter tick epizootics and shift the epizootic region slowly northward. Conversely, temporary reduction of moose density may substantially reduce parasite abundance and support a healthier and more productive moose population.

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Donovan, Kaley Jean. "Songbird Habitat Models on the Landscape-scale in Southeast Ohio’s Public Forestland". The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1480611818902431.

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Walker, L. M. "Water table management in wildlife habitats". Thesis, Cranfield University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.341493.

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Książki na temat "Wildlife and habitat management"

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Wildlife habitat management of wetlands. Malabar, Fla: Krieger Pub., 1998.

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United States. Bureau of Land Management. Farmington District Office, red. Rattlesnake Canyon habitat management plan. Farmington, N.M: U.S. Dept. of the Interior, Bureau of Land Management, Farmington District Office, 1997.

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United States. Bureau of Land Management. Big game habitat management. Denver, CO]: U.S. Dept. of the Interior, Bureau of Land Management, 1993.

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Lamb, G. William, Frank Rowley, William H. Radtkey, Eugene A. Dahlem, Sidney Slone, Richard R. Olendorff i Edward F. Spang. Desert tortoise habitat management. Washington, D.C: U.S. Department of the Interior, Bureau of Land Management, Division of Wildlife and Fisheries, 1988.

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Creighton, Janean H. Wildlife ecology and forest habitat. [Pullman]: Cooperative Extension, Washington State University, 1997.

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Big game habitat management. [Denver, CO]: U.S. Dept. of the Interior, Bureau of Land Management, 1993.

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Ontario. Ministry of Agriculture, Food and Rural Affairs. Best management practices: Fish and wildlife habitat management. Toronto: Ontario Federation of Agriculture, 1996.

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Rule, Michael. Turnbull National Wildlife Refuge: Habitat management plan. Cheney, WA (26010 South Smith Road, Cheney): The Service, 1999.

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), Kulm Wetland Management District (N D. Draft Kulm Wetland Management District habitat management plan: Kulm Wetland Management District, North Dakota. Kulm, North Dakota: Kulm Wetland Management District, 2014.

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Kwasniak, Arlene J. Wildlife management beyond wildlife laws. Calgary, Alta: Canadian Institute of Resources Law, University of Calgary, 2007.

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Części książek na temat "Wildlife and habitat management"

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Gordon, Sean N., Heather McPherson, Lowell Dickson, Joshua Halofsky, Chris Snyder i Angus W. Brodie. "Wildlife Habitat Management". W Making Transparent Environmental Management Decisions, 227–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-32000-2_10.

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Awadhiya. "Habitat management". W Principles of Wildlife Conservation, 291–318. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003037545-9.

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Kie, John G., i Jack Ward Thomas. "Rangeland vegetation as wildlife habitat". W Vegetation science applications for rangeland analysis and management, 585–605. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-3085-8_23.

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Joost, Richard E. "Conservation: Erosion Control, Soil Management and Remediation, and Effects on Wildlife Habitat". W Agronomy Monographs, 489–507. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/agronmonogr53.c28.

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Wardell-Johnson, Grant, i Owen Nichols. "Forest wildlife and habitat management in southwestern Australia: knowledge, research and direction". W Conservation of Australia’s Forest Fauna, 161–92. P.O. Box 20, Mosman NSW 2088, Australia: Royal Zoological Society of New South Wales, 1991. http://dx.doi.org/10.7882/rzsnsw.1991.015.

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Neave, H. M., i T. W. Norton. "Integrated management of forest wildlife: comments on new ways to research habitat". W Conservation of Australia’s Forest Fauna, 229–36. P.O. Box 20, Mosman NSW 2088, Australia: Royal Zoological Society of New South Wales, 1991. http://dx.doi.org/10.7882/rzsnsw.1991.019.

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Melentyev, Vladimir V., i Vladimir I. Chernook. "Multi-spectral Satellite-Airborne Management of Ice Form Marine Mammals and Their Habitat in the Presence of Climate Change Using a “Hot Spots” Approach". W Spatial Complexity, Informatics, and Wildlife Conservation, 409–27. Tokyo: Springer Japan, 2010. http://dx.doi.org/10.1007/978-4-431-87771-4_22.

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Hobbs, N. Thompson, i David M. Theobald. "Effects of Land-Use Change on Wildlife Habitat: Applying Ecological Principles and Guidelines in the Western United States". W Applying Ecological Principles to Land Management, 37–53. New York, NY: Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4613-0099-1_2.

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"Riparian Area Management". W Wildlife Habitat Management, 143–58. CRC Press, 2007. http://dx.doi.org/10.1201/9781420007633-12.

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"Dead Wood Management". W Wildlife Habitat Management, 159–78. CRC Press, 2007. http://dx.doi.org/10.1201/9781420007633-13.

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Streszczenia konferencji na temat "Wildlife and habitat management"

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Hendrickson, Jon S., i Aaron W. Buesing. "Floodplain Restoration for Fish and Wildlife Habitat on the Upper Mississippi River". W Joint Conference on Water Resource Engineering and Water Resources Planning and Management 2000. Reston, VA: American Society of Civil Engineers, 2000. http://dx.doi.org/10.1061/40517(2000)48.

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Huber, Jeffrey E. "Salty Urbanism: Toward an Adaptive Coastal Design Framework to Address Rising Seas and Climate Change". W AIA/ACSA Intersections Conference. ACSA Press, 2020. http://dx.doi.org/10.35483/acsa.aia.inter.20.6.

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Over the next 100 years, nothing will radically change thecoastal built environment more than climate change and sea level rise. The coastal zone is home to some of our country’s most valuable ecological and socio-economic assets. Many of these locations are being demonstrably transformed dueto large-scale human and biophysical processes. The result is a potential loss of myriad ecosystem services such as storm protection, wildlife habitat, recreation and aesthetics, among others. Policy and design solutions are not truly consideringthe necessary transformation that will be required to live and work within a saturated coastal environment. The old paradigm of flood management and control will need tochange from prevention to acceptance and population will decline as businesses and individuals decide the costs are too high. The need for developing a long-term urban design and planning framework that adapts to these effects is critical. More specifically, there is a need for a “systems” approach that utilizes urban design and takes into consideration infrastructure impacts, future investments, and insurability of risk as long-term objectives to address potential impacts from both coastal flooding and rising sea levels, while at the same time guiding communities’ future land use and investment plans.
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Gündel, Hande, i Ayşe Kalaycı Önaç. "The Contribution of Riparian Zone on Urban Ecosystems through Climate Change Urban Adaptation Process". W International Students Science Congress. Izmir International Guest Student Association, 2021. http://dx.doi.org/10.52460/issc.2021.049.

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The riparian zone plays a crucial role in the development and transformation of cities. This zone dramatically changes cities both ecologically and economically and is one of the cornerstones of the future scenarios of the city. These areas constitute significant emphasis throughout the city by providing wildlife, improving the water quality, reducing flood areas, and creating social activity areas in the city. Besides, it influences land use, transportation, energy efficiency, social life. The riparian zones are one of the most significant components of the cities that mitigate the climate change effects. Because, the existence of water creates microclimatic conditions around the cities and this conserves the heat island effect, greenhouse effect, and also air pollution. The deterioration of the sustainability of this important backbone throughout the city causes an important loss in terms of urban ecosystems. Because it is an important connection of natural life and urban life, and any deterioration causes two important characters to be separated from one another. In this regard, ensuring water management in the city is a crucial issue in terms of urban habitat. In the scope of this study, research was conducted on the contribution of riparian zone to the urban ecosystem and also how the presence of this backbone system in the city transforms the urban areas was discussed.
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Kresnye, K. Cassie, i Patrick C. Shih. "Smart Habitat: A Wildlife Rehabilitation System". W CHI '20: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3334480.3383093.

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Engstrom, Carol J., i Guy M. Goulet. "Husky Moose Mountain Pipeline: A Case Study of Planning, Environmental Assessment and Construction". W 2000 3rd International Pipeline Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/ipc2000-140.

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In 1998, Husky Oil Operations Limited and its partner formerly Rigel Oil, (purchased by Talisman Energy in 1999), constructed a 26.2 km pipeline in Kananaskis Country to transport sour oil, solution gas and produced water from Pad #3 on Cox Hill to the Shell Oil Jumping Pound Gas Plant for processing. Kananaskis Country is a 4160 km2 “Planning Area” that has both Prime Protection and Multiple Use designations. Situated just west of Calgary, Alberta, Canada it has considerable recreational and environmental value, including significant wildlife habitat. The original exploration and subsequent pipeline construction applications required separate Alberta Energy & Utilities Board (AEUB) public hearings with both involving significant public consultation. Prior to drilling on the lands that had been purchased more than a decade ago, Husky adopted several governing principles to reduce environmental impact, mitigate damage and foster open and honest communication with other industrial users, regulators, local interest groups and local aboriginal communities. During planning and construction, careful attention was paid to using existing linear disturbances (seismic lines, roads and cutblocks). A variety of environmental studies, that incorporated ecologically-integrated landscape classification and included the use of indicator species such as the Grizzly Bear, were conducted prior to and during the early stages of development. The results of these studies, along with the information gathered from the public consultation, historical and cultural studies and engineering specifications formed the basis for the route selection. Watercourses presented particular challenges during pipeline construction. The pipeline right-of-way (RoW) intercepted 26 small water runs and 19 creeks. Fishery and water quality issues were identified as important issues in the lower Coxhill Creek and Jumpingpound Creeks. As a result, Jumpingpound Creek was directionally drilled at two locations and all other watercourses were open-cut using low-impact techniques. To minimize new RoW clearing, substantial portions of the pipeline were placed in the ditch of the existing road. Husky attributes the success of this project to planning, broad community input and the co-operation and buy-in by the project management team and construction companies.
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Levey, James R., Patrick Vasicek, Herb Fricke, Jon Archer i Robert F. Henry. "Salt Pond SF2 Restoration, Wildlife, and Habitat Protection". W 12th Triannual International Conference on Ports. Reston, VA: American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41098(368)54.

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Tovar, A., T. Friesen, K. Ferens i B. McLeod. "A DTN wireless sensor network for wildlife habitat monitoring". W 2010 IEEE 23rd Canadian Conference on Electrical and Computer Engineering - CCECE. IEEE, 2010. http://dx.doi.org/10.1109/ccece.2010.5575142.

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Smith, Mark D., i Loren W. Burger, Jr. "Multiresolution approach to wildlife habitat modeling using remotely sensed imagery". W Optical Science and Technology, SPIE's 48th Annual Meeting. SPIE, 2004. http://dx.doi.org/10.1117/12.506409.

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"Promoting Wildlife Habitat and Conservation Partnerships Through State-Funded Grant Programs". W Eleventh American Woodcock Symposium. University of Minnesota Libraries Publishing, 2019. http://dx.doi.org/10.24926/aws.0114.

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Elliott, Joshua C., Laurie Olin, Madi Novak, Phil Wiescher, Curtis Riley i Michael Reiter. "Habitat Restoration and Environmental Remediation Success at a National Wildlife Refuge Wetland". W 14th Triennial International Conference. Reston, VA: American Society of Civil Engineers, 2016. http://dx.doi.org/10.1061/9780784479919.075.

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Raporty organizacyjne na temat "Wildlife and habitat management"

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Knighton, M. Dean. Water impoundments for wildlife: a habitat management workshop. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Forest Experiment Station, 1985. http://dx.doi.org/10.2737/nc-gtr-100.

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Douglas, Thomas, M. Jorgenson, Hélène Genet, Bruce Marcot i Patricia Nelsen. Interior Alaska DoD training land wildlife habitat vulnerability to permafrost thaw, an altered fire regime, and hydrologic changes. Engineer Research and Development Center (U.S.), luty 2022. http://dx.doi.org/10.21079/11681/43146.

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Climate change and intensification of disturbance regimes are increasing the vulnerability of interior Alaska Department of Defense (DoD) training ranges to widespread land cover and hydrologic changes. This is expected to have profound impacts on wildlife habitats, conservation objectives, permitting requirements, and military training activities. The objective of this three-year research effort was to provide United States Army Alaska Garrison Fort Wainwright, Alaska (USAG-FWA) training land managers a scientific-based geospatial framework to assess wildlife habitat distribution and trajectories of change and to identify vulnerable wildlife species whose habitats and resources are likely to decline in response to permafrost degradation, changing wildfire regimes, and hydrologic reorganization projected to 2100. We linked field measurements, data synthesis, repeat imagery analyses, remote sensing measurements, and model simulations focused on land cover dynamics and wildlife habitat characteristics to identify suites of wildlife species most vulnerable to climate change. From this, we created a robust database linking vegetation, soil, and environmental characteristics across interior Alaska training ranges. The framework used is designed to support decision making for conservation management and habitat monitoring, land use, infrastructure development, and adaptive management across the interior Alaska DoD cantonment and training land domain.
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Glass, Ronald J. Habitat improvement costs on state-owned wildlife management areas in New York. Broomall, PA: U.S. Department of Agriculture, Forest Service, Northeastern Forest Experimental Station, 1989. http://dx.doi.org/10.2737/ne-rp-621.

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Glass, Ronald J. Habitat improvement costs on state-owned wildlife management areas in New York. Broomall, PA: U.S. Department of Agriculture, Forest Service, Northeastern Forest Experimental Station, 1989. http://dx.doi.org/10.2737/ne-rp-621.

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DeGraaf, Richard M., Mariko Yamasaki, William B. Leak i John W. Lanier. New England wildlife: management forested habitats. Radnor, PA: U.S. Department of Agriculture, Forest Service, Northeastern Forest Experimental Station, 1992. http://dx.doi.org/10.2737/ne-gtr-144.

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DeGraaf, Richard M., Mariko Yamasaki, William B. Leak i John W. Lanier. New England wildlife: management forested habitats. Radnor, PA: U.S. Department of Agriculture, Forest Service, Northeastern Forest Experimental Station, 1992. http://dx.doi.org/10.2737/ne-gtr-144.

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Ashley, Paul. Red River Wildlife Management Area HEP Report, Habitat Evaluation Procedures, Technical Report 2004. Office of Scientific and Technical Information (OSTI), listopad 2004. http://dx.doi.org/10.2172/941548.

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Yde, Chis. Kootenai River Wildlife Habitat Enhancement Project : Long-term Bighorn Sheep/Mule Deer Winter and Spring Habitat Improvement Project : Wildlife Mitigation Project, Libby Dam, Montana : Management Plan. Office of Scientific and Technical Information (OSTI), czerwiec 1990. http://dx.doi.org/10.2172/6823352.

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Raedeke, Kenneth, i Dorothy Raedeke. Habitat Evaluation Procedures (HEP) Report; Yakama Nation Wildlife Management Areas, Technical Report 1999-2000. Office of Scientific and Technical Information (OSTI), czerwiec 2000. http://dx.doi.org/10.2172/941580.

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Kozusko, Shana. Habitat Evaluation Procedures (HEP) Report; Precious Lands Wildlife Management Area, Technical Report 2000-2003. Office of Scientific and Technical Information (OSTI), grudzień 2003. http://dx.doi.org/10.2172/942120.

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