A5088618588- Wildlife Ecology and Conservation
- Forest ecology and management
- Malaria Research and Control
- Mosquito-borne diseases and control
- Conservation, Biodiversity, and Resource Management
- Ecology and Vegetation Dynamics Studies
- Wildlife-Road Interactions and Conservation
- Remote Sensing and LiDAR Applications
- Species Distribution and Climate Change
- Forest Management and Policy
- Remote Sensing in Agriculture
- Fire effects on ecosystems
- Plant Water Relations and Carbon Dynamics
- Avian ecology and behavior
- Animal Behavior and Welfare Studies
- Genetic and phenotypic traits in livestock
- Online Learning and Analytics
- COVID-19 epidemiological studies
- Data Analysis with R
- Primate Behavior and Ecology
- Fish biology, ecology, and behavior
- Global Maternal and Child Health
- Hydrology and Watershed Management Studies
- Zoonotic diseases and public health
- Fish Ecology and Management Studies
University of Florida
2016-2025
Florida State University
2023
Hudson Institute
2019-2021
John Wiley & Sons (United States)
2019-2021
Duke University
2010-2013
Brazilian Agricultural Research Corporation
2006-2009
Imazon
2006
Southern U.S. forests are essential for carbon storage and timber production but increasingly impacted by natural disturbances, highlighting the need to understand their dynamics recovery. Canopy cover is a key indicator of forest health resilience. Advances in remote sensing, such as NASA’s GEDI spaceborne LiDAR, enable more precise mapping canopy cover. Although provides accurate data, its limited spatial coverage restricts large-scale assessments. To address this, we combined with...
High biodiversity of forests is not predicted by traditional models, and evidence for trade‐offs those models require limited. High‐dimensional regulation (e.g., N factors to regulate species) has long been recognized as a possible alternative explanation, but it be seriously pursued, because only few limiting resources are evident trees, analysis multiple interactions challenging. We develop hierarchical model that allows us synthesize data from long‐term, experimental, sets with processes...
As ecological data are usually analysed at a scale different from the one which process of interest operates, interpretations can be confusing and controversial. For example, hypothesised differences between species do not operate level, but concern individuals responding to environmental variation, including competition with neighbours. Aggregated many subject spatio-temporal variation used produce species-level averages, marginalise away relevant (process-level) scale. Paradoxically,...
Large-scale forest conservation projects are underway in the Brazilian Amazon but little is known regarding their public health impact. Current literature emphasizes how land clearing increases malaria incidence, leading to conclusion that decreases burden. Yet, there also evidence proximity fringes which implies opposite relationship between and malaria. We compare effect of these environmental factors on explore its implications.
Abstract Millions of people across the tropics rely on wildlife for food and income. However, overhunting to satisfy this demand is causing decline many species; an issue known as wild meat crisis. We applied a before‐after control‐intervention design assess effects social marketing (an information campaign community engagement) with without economic incentive (discount coupons chicken) consumption. Coupons increased chicken consumption, expected, but did not reduce In contrast, price...
Visceral leishmaniasis (VL) is an important neglected disease caused by a protozoan parasite, and represents serious public health problem in many parts of the world. It zoonotic Europe Latin America, where infected dogs constitute main domestic reservoir for parasite play key role VL transmission to humans. In Brazil this Leishmania infantum chagasi, transmitted sand fly Lutzomyia longipalpis. Despite programs aimed at eliminating infection sources, continues spread throughout Country. São...
Abstract We propose a novel multivariate method to analyse biodiversity data based on the Latent Dirichlet Allocation ( LDA ) model. , probabilistic model, reduces assemblages sets of distinct component communities. It produces easily interpretable results, can represent abrupt and gradual changes in composition, accommodates missing allows for coherent estimates uncertainty. illustrate our using tree eastern United States from tropical successional chronosequence. The model is able detect...
As the world’s population grows, global food production will need to increase. While efficiency has increased in recent decades through pathogen control, climate change poses new challenges crop protection against pathogens. Understanding natural geographical distribution and dispersal likelihood of fungal plant pathogens is essential for forecasting disease spread. Here we used cultivation-independent techniques identify 1,289 near-surface dust samples collected across United States. We...
The proliferation of river infrastructure projects has altered aquatic longitudinal connectivity, posing a growing threat to riverine biodiversity and ecosystem processes worldwide. Effective methods quantify loss connectivity across spatiotemporal scales in data-limited landscapes are important understand inform basin-wide conservation development planning. Here we introduce Catchment Area-based Fragmentation Index (CAFI) its derivative, the Area- Rainfall-based (CARFI) as new metrics...
Most of the malaria burden in Americas is concentrated Brazilian Amazon but a detailed spatial characterization risk has yet to be undertaken. Utilizing 2004-2008 incidence data collected from six states, large-scale patterns were characterized with novel Bayesian multi-pathogen geospatial model. Data included 2.4 million cases spread across 3.6 sq km. Remotely sensed variables (deforestation rate, forest cover, rainfall, dry season length, and proximity large water bodies), socio-economic...
Movement is important for ecological and evolutionary theory as well connectivity conservation, which increasingly critical species responding to environmental change. Key outcomes of movement, such population growth gene flow, require effective dispersal: movement that followed by successful reproduction. However, the relative roles postmovement reproduction dispersal remain unclear. Here we isolate contributions immigrant across entire breeding range an endangered raptor, snail kite...
Understanding how species composition varies across space and time is fundamental to ecology. While multiple methods having been created characterize this variation through the identification of groups that tend co-occur, most these unfortunately are not able represent gradual in composition. The Latent Dirichlet Allocation (LDA) model a mixed-membership method can changes community structure by delineating overlapping species, but its use has limited because it requires abundance data users...