Denis Valle
Associate Professor at University of Florida
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Positions (4)
Denis Valle
University of Florida
A PhD position is available at the University of Florida in the field of remote sensing and global change biology. The opportunity is ideal for students interested in using data from remote sensors such as wildlife GPS trackers, LiDAR, and satellite imagery to study ecological systems and monitor environmental changes. The research will involve advanced computational and statistical methods to address questions related to global change. The position is supervised by Associate Professor Denis Valle, whose research group focuses on ecological data analysis and environmental monitoring. Applicants should have a strong interest in remote sensing, ecology, and quantitative methods. Funding details and application deadlines are not specified in the announcement. Interested candidates are encouraged to visit the provided link for further information and application instructions.
Denis Valle
University of Florida
A PhD position is available in the Valle Lab at the University of Florida, focusing on remote sensing and global change biology. The lab, led by Dr. Denis Valle, is part of the School of Forest, Fisheries, and Geomatics Sciences and is affiliated with the Tropical Conservation and Development program and the School of Natural Resources and Environment. Research in the group addresses applied problems in ecology, conservation, and global change biology using innovative quantitative models and methods. The position offers broad training in remote sensing data analysis, including the use of wildlife GPS trackers, LiDAR, and satellite imagery, with flexibility in project development. Projects utilizing LiDAR for tropical forest research are especially encouraged. Applicants should be interested in advanced computational and statistical approaches to ecological questions. Funding details are not specified; candidates are encouraged to consult the lab website and provided links for further information. The application deadline is not stated. For more details, visit the Valle Lab website and contact Dr. Denis Valle.
Denis Valle
University of Florida
1 year ago
A PhD position is available in the Valle Lab at the University of Florida, focusing on remote sensing and global change biology. The research group, led by Dr. Denis Valle, specializes in quantitative ecology, conservation, and the application of innovative models and decision support tools to address pressing environmental issues. The position offers broad training in remote sensing data analysis, including the use of wildlife GPS trackers, LiDAR, and satellite imagery, with flexibility in project development. Projects of particular interest involve LiDAR applications in tropical forest ecology. The lab is affiliated with the School of Forest, Fisheries, and Geomatics Sciences, the Tropical Conservation and Development program, and the School of Natural Resources and Environment at UF. Applicants should be enthusiastic about ecological research and quantitative methods. Funding details are not specified; candidates are encouraged to consult the provided links or contact Dr. Valle for more information. The application deadline is December 28, 2024. For more details, visit the Valle Lab website and review Dr. Valle’s publications.
1 year ago
Denis Valle
University of Florida
4 months ago
The University of Florida’s Natural Resources Leadership Institute (NRLI) is hiring a non-tenure-track Extension Assistant Professor based in Gainesville, Florida. This role sits within the School of Forest, Fisheries, and Geomatics Sciences and supports NRLI’s mission to prepare leaders who use collaborative approaches to bridge differences and sustainably manage Florida’s natural resources. The position is centered on experiential instruction , program development , partnership support , facilitation , and graduate/undergraduate teaching . The successful candidate will help deliver educational modules, develop curricula, support partnerships inside and outside UF, and facilitate meetings, retreats, and multi-stakeholder processes related to decision-making, conflict management, mediation, and dialogue. Research/teaching interests and keywords: natural resources leadership, environmental science, education, management, stakeholder engagement, collaborative decision-making, conflict management, mediation, facilitation, extension education, and partnership development. Eligibility highlights: applicants must hold a Ph.D. or equivalent highest degree and have at least 3 years of relevant experience. The posting specifically looks for demonstrated skills in two or more of stakeholder engagement, experiential instruction, group facilitation, conflict management, mediation, and/or partnership development. Familiarity with natural resource issues and a willingness to travel extensively in Florida are required. Preferred experience includes NRLI or a similar program, 10+ years of experience, and international/multicultural or non-academic experience. Funding/salary: salary is commensurate with experience and education. This is a faculty appointment rather than a student scholarship. Application window: for full consideration, apply by 2026-06-16 . The position remains open until a viable applicant pool is identified. The appointment is expected to begin on or after 2026-07-01 . How to apply: submit the application online through Careers at UF with a cover letter, CV, contact information for three referees, and unofficial transcripts. Nominations are also welcome.
4 months ago
Articles (18)
Proportion variables, also known as compositional data, are very common in ecology. Unfortunately, few scientists are aware of how compositional data, when used as covariates, can adversely impact statistical analysis. We describe here how proportion covariates result in multicollinearity and parameter identifiability problems. Using simulated data on bird species richness as a function of land use, we show how these problems manifest when fitting a wide range of models in R, both in a frequentist and Bayesian framework. In particular, we show that similar models can often generate substantially different parameter estimates, leading to very different conclusions. Dropping a covariate or the intercept from the model can solve the multicollinearity and parameter identifiability problems. Unfortunately, these solutions do not fix the inherent challenges associated with interpreting parameter estimates. To this end, we propose focusing the interpretation on the difference of slope parameters to avoid the inherent unidentifiability of individual parameters. We also propose conditional plots with two x ‐axes and marginal plots as visualization techniques that can help users better interpret their modeling results. We illustrate these problems and proposed solutions using empirical data from the North American Breeding Bird Survey. The practical and straightforward approaches suggested in this article will help the fitting of linear models and interpretation of its results when some of the covariates are proportions.
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Collaborators (12)
Marcia Nunes Macedo
Assistant Professor
Columbia University
Natercia Valle
University of Florida
Robert Bagchi
Assistant Professor
University of Connecticut
Daniel Johnson
Assistant Professor
University of Florida
Mariano Garcia
Universidad de Alcalá
Carlos Alberto Silva
Assistant Professor of Quantitative Forest Science
University of Florida
David Kaplan
-
Luca Börger
Professor - Chair in Ecology and Biodiversity
Swansea University
Paulo Brando
Associate Professor
Yale University School of the Environment
Kaitlin Stack Whitney, PhD
Assistant Professor
Rochester Institute of Technology
Ismael Verrastro Brack
-
David Bauman
Université libre de Bruxelles
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