Quantitative ecology
Understanding, predicting and controlling animal movement is a fundamental problem of conservation and management ecology. The need to mitigate human-wildlife conflicts, such as crop raiding by large herbivores, is becoming increasingly urgent. Because of the substantial costs or the possibility of unsuitable outcomes on wildlife, managers are often encouraged to deploy interventions that can achieve their objective while minimizing the impact on animal populations. We propose an adaptive management framework that can identify cost-effective solutions to reduce human-wildlife conflicts, while also minimizing constraints on animal movement and distribution. We focus on conflicts involving animals for which conflict zones occupy only a portion of their home-range. The adaptive management approach includes four basic steps: define and spatialize conflict areas, predict animal distribution from functional connectivity and patch residency time, predict the impact of management actions on animal distribution, and test predictions and revise predictive models.
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Quantitative ecology
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Quantitative Ecology
Skip to content. Dedicated to assessing emerging threats to wildlife and ecosystems through collaborative research, BRI uses scientific findings to advance environmental awareness and inform decision makers. The ecologist will work on a range of projects relating to renewable energy development and the effects of anthropogenic activities on wildlife. Compensation: Salary dependent on education and experience. BRI offers a fully paid employee health insurance premium, plus optional dependent coverage, dental, LTD and life insurance, k with match, and generous paid PTO and holidays.
Costs associated with work travel are reimbursed. Application Instructions: Applications should be submitted to jobs briwildlife. Applications will be reviewed as they are received Qualifications Qualifications: Successful candidates should be independently motivated, highly organized, a strong communicator, and a creative analytical thinker. In particular, we are looking for spatial analysis expertise including use of ArcGIS and strong proficiency with R coding and, ideally, package making.
Experience in Bayesian modeling tools is preferred e.
Quantitative Ecology/Ethnoecology
Ten courses provided in the module sum up to 49 credits , whereas Master students need 18 credits altogether the PhD students even less, according to Erasmus agreements. Students, therefore, will have some freedom to select those courses they will be more interested in and even select other courses available in the program of our Faculty. Finally note that students can also work on their own research project, in collaboration with some of the lecturers of the course, and they will also receive credits for this activity. The course covers basics of experimental design emphasizing experiments in the field , including various nested designs and their statistical evaluation using various univariate methods general linear models , and finally analysis of species composition by multivariate methods using CANOCO. The ability to analyze real data is emphasized.
STUB – Statistical Thinking in Undergraduate Biology
This book presents an integrative approach tomathematical and statistical modelling in ecology and evolutionary biology. After an introductory chapter, the book devotes one chapter for movement ecology, one for population ecology, one for community ecology, and one for genetics and evolutionary ecology. Each chapter starts with a conceptual section, which provides the necessary biological background and motivates the modelling approaches. The next three sections present mathematical modelling approaches, followed by one section devoted to statistical approaches. Each chapter ends with a perspe Each chapter ends with a perspectives section, which summarizes the key messages and discusses the limitations of the approaches considered. To illustrate how the very same modelling approaches apply in different fields of ecology and evolutionary biology, the book uses movement models as a building block to construct single-species models of population dynamics, the models of which are further expanded to models of species communities and to models of evolutionary dynamics.
The Rota Quantitative Ecology Lab
A broad, evolutionary overview of major groups of vascular plants, from club mosses and ferns to conifers and flowering plants. Principles of classification and field identification, morphology and basic concepts in evolutionary studies in botany. Independent project. Developing skills in plant ID, learning vouchering techniques, phylogentic analysis, and understanding macroevolutionary patterns in morphology and species diversification.
Quantitative Ecological Theory
NMBU has a special responsibility for research and education that ensures the basis of life for future generations. NMBU has employees and students and is organized in seven faculties. Faculty of Environmental Sciences and Natural Resource Management MINA at Norwegian University of Life Sciences NMBU has a vacant 3-year PhD position in applied quantitative ecology, focusing on how tropical forest mammals use time as indicated by an unprecedented availability of systematic camera trap data from multiple sites and years across the tropics. The focus will be on analysis of pre-existing data rather than collecting field data. The overall project, based on an extensive international collaboration, aims to improve understanding and prediction of species vulnerabilities to extinction through a rigorous evaluation of pre-existing data that includes millions of camera trap images and other systematic compilations. The component undertaken by the successful candidate focuses on animal activity patterns.
Quantitative Ecology and Evolutionary Biology: Integrating models with data
There are few areas of modern ecology that do not rely heavily on quantitative methods! Ecological modelling and data management are rapidly expanding sub-disciplines of ecology, and so the group helps its members obtain advice, learn, apply good practice and collaborate. We run regular training and scientific events, an event at the BES Annual Meeting and host a community-contributed set of guides for quantitative methods — feel free to share your input! Want to build on your R skills for more transparant and reproducible data analysis workflows? This is the course for you! Subscribe to our mailing list.
Ecologists are increasingly in need of quantitative skills and the British Ecological Society Quantitative Ecology Special Interest Group QE SIG aims to support skills development, sharing of good practice and highlighting novel methods development within quantitative ecology. We run events throughout the year, as well as contributing to the Annual Meeting and providing a mailing list to share events, jobs and quantitative news. The run up to the Ecology Across Borders joint Annual Meeting in Ghent this month is an exciting time for the SIG as we look forward to catching up with existing members as well as hopefully meeting some new recruits! You can see the list of package suggestions here.
WFB - Quantitative Ecology 3 Credits 3 Contact Hours Students are introduced to the theory and techniques of building statistical models to evaluate community- and population-level responses by animals to environmental conditions and human exploitation. A secondary goal is to improve student writing and communication of these tools to managers and the public. This level course has a level counterpart. Students should refer to the Graduate Announcements for the level description and requirements. Apply Now Make a Gift. Academic Calendar.
The Center for Quantitative Science CQS offers unique, interdisciplinary opportunities for graduate and undergraduate students interested in applying quantitative methods to biological and ecological issues. Students receive intensive training in the application of statistical, mathematical, and decision sciences to terrestrial and aquatic ecology, natural resource management, biometrics, and mathematical biology. Minor The Center for Quantitative Science offers a minor for undergraduate students who are interested in applications of statistical and mathematical tools to problems in ecology, biology, renewable resource management, and the environment. Minor Requirements Courses and Electives The Q SCI courses are a series of math and statistics classes designed for students in biology or ecology-related sciences. Course information.
Wiley Online Library Probekapitel. How to Be a Quantitative Ecologist is comprised of two equal parts on mathematics and statistics with emphasis on quantitative skills. A major component of this guide is computer implementation techniques, accompanied by computer practicals using the language R.
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