A5056221233- Climate change and permafrost
- Cryospheric studies and observations
- Geology and Paleoclimatology Research
- Species Distribution and Climate Change
- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Parasite Biology and Host Interactions
- Arctic and Antarctic ice dynamics
- Coastal wetland ecosystem dynamics
- Rangeland and Wildlife Management
- Animal and Plant Science Education
- Indigenous Studies and Ecology
- Forest Ecology and Biodiversity Studies
- Helminth infection and control
- Coccidia and coccidiosis research
- Primate Behavior and Ecology
- Environmental Sustainability and Technology
- Mollusks and Parasites Studies
- Urban Heat Island Mitigation
- Geochemistry and Geologic Mapping
- Remote-Sensing Image Classification
- Human-Animal Interaction Studies
- Botany and Plant Ecology Studies
- Atmospheric and Environmental Gas Dynamics
- Forest Management and Policy
Center for Snow and Avalanche Studies
2024
University of Maine
2017-2024
Avia-GIS (Belgium)
2014
Wageningen University & Research
2012
Very little is known about marking behavior of the endangered Andean bear (Tremarctos ornatus). Here, we present a first detailed description obtained using camera traps. From November 2012 to April 2013, inspected 16 trails in Napo province eastern Ecuador, and installed traps (n = 3) at sites document their behavior. We 22 video recordings bears, all which were captured during daytime. Almost 18) contained associated with marking. Tree-rubbing was main behavioral display sites, consisted 4...
Changes in vegetation distribution, structure, and function can modify the canopy properties of terrestrial ecosystems, with potential consequences for regional global climate feedbacks. In Arctic, is warming twice as fast compared to average (known ‘Arctic amplification’), likely having stronger impacts on arctic tundra vegetation. order quantify these changes assess their ecosystem structure function, methods are needed accurately characterize types. However, commonly used ground-based...
Abstract Questions Does remote sensing improve classification of invasive woody species in dunes, useful for shrub management? additional height information and an object‐based classifier increase accuracy? Location The dunes V lieland, one the W adden S ea I slands, N etherlands. Methods Extensive monitoring using optical LIDAR deliver large amounts high‐quality data to observe manage coastal as a defence against sea Using these could accuracy vegetation mapping areas. In this study,...
Abstract Tundra ecosystems in the Arctic store up to 40% of global below-ground organic carbon but are exposed fastest climate warming on Earth. However, accurately monitoring landscape changes is challenging due complex interactions among permafrost, micro-topography, climate, vegetation, and disturbance. This complexity results high spatiotemporal variability permafrost distribution active layer depth (ALD). Moreover, these key tundra processes interact at different scales, an...
The visualization of vector occurrence in space and time is an important aspect studying vector-borne diseases. Detailed maps possible habitats provide valuable information for the prediction infection risk zones but are currently lacking most parts world. Nonetheless, monitoring from finest scales up to farm level key importance refine existing broad-scale models. Using Fasciola hepatica, a parasite liver fluke, as case point, this study illustrates potential very high resolution (VHR)...
Abstract The Arctic is experiencing some of the most rapid climate change on Earth, with strong impacts tundra ecosystems that are characterized by high land-surface and vegetation heterogeneity. Previous studies have explored this complexity using satellite remote sensing, however these typically coarse spatial resolution data generally missed sub-pixel heterogeneity, leaving critical gaps in our understanding dynamics from community to landscape scales. To address gaps, we collected very...
Abstract The Arctic is warming at a faster rate than any other biome on Earth, resulting in widespread changes vegetation composition, structure and function that have important feedbacks to the global climate system. heterogeneous nature of arctic landscapes creates challenges for monitoring improving understanding these ecosystems, as current efforts typically rely ground, airborne or satellite‐based observations are limited space, time pixel resolution. use remote sensing instruments...
The trematode parasite Fasciola hepatica causes important economic losses in ruminants worldwide. Current spatial distribution models do not provide sufficient detail to support farm-specific control strategies. A technology reliably assess the of intermediate host snail habitats on farms would be a major step forward this respect. aim study was conduct longitudinal field survey Flanders (Belgium) (i) characterise suitable small water bodies (SWB) for Galba truncatula and (ii) describe...
Abstract NASA’s Arctic-Boreal Vulnerability Experiment (ABoVE) integrates field and airborne data into modeling synthesis activities for understanding Arctic Boreal ecosystem dynamics. The ABoVE Benchmarking System (ABS) is an operational software package to evaluate terrestrial biosphere models against key indicators of dynamics, i.e.: carbon biogeochemistry, vegetation, permafrost, hydrology, disturbance. ABS utilizes satellite remote sensing data, from as well collaborating research...
As climate continues to warm, detailed geospatial spectral, structural, and thermal information, related water, carbon, energy cycling, are required for modeling the future state of Arctic biome. To address these needs we have developed a cost-effective, multi-sensor UAS-based remote sensing platform acquiring high resolution measurements vegetation. We successfully deployed this in three sites along an elevation gradient near Nome, Alaska summer 2017. Corresponding workflows been further...
Abstract Time‐lapse cameras have been widely used as a tool to monitor the timing of seasonal vegetation growth. These simple, relatively inexpensive systems can provide high‐frequency observations leaf development and demography which are critical data sets needed characterize plant phenology from species landscapes. This is important for understanding how plants responding global changes, well validating satellite‐derived products. However, in remote regions including high‐latitude Arctic,...
The trematode parasite Fasciola hepatica causes important economic losses in ruminants worldwide. Current spatial distribution models do not provide sufficient detail to support farm-specific control strategies. A technology reliably assess the of intermediate host snail habitats on farms would be a major step forward this respect. aim study was conduct longitudinal field survey Flanders (Belgium) (i) characterise suitable small water bodies (SWB) for Galba truncatula and (ii) describe...
Abstract The Arctic is warming at over twice the rate of rest Earth, resulting in significant changes vegetation seasonality that regulates annual carbon, water, and energy fluxes. However, a crucial knowledge gap exists regarding intricate interplay among climate, permafrost, generates high phenology variability across extensive tundra landscapes. This oversight has led to discrepancies phenological patterns observed experiments, long-term ecological observations, satellite modeling...