A5041981476- Species Distribution and Climate Change
- Land Use and Ecosystem Services
- Remote Sensing in Agriculture
- Wildlife Ecology and Conservation
- Ecology and Vegetation Dynamics Studies
- Wildlife-Road Interactions and Conservation
- Remote Sensing and Land Use
- Remote Sensing and LiDAR Applications
- Remote-Sensing Image Classification
- Conservation, Biodiversity, and Resource Management
- Geographic Information Systems Studies
- Rangeland Management and Livestock Ecology
- Soil Geostatistics and Mapping
- Isotope Analysis in Ecology
- Geochemistry and Geologic Mapping
- Parasites and Host Interactions
- Animal Ecology and Behavior Studies
- Coastal and Marine Management
- Data Analysis with R
- Avian ecology and behavior
- Parasite Biology and Host Interactions
- Zoonotic diseases and public health
- Marine animal studies overview
- Primate Behavior and Ecology
- Impact of Light on Environment and Health
University of Würzburg
2014-2025
Institute for Quality and Efficiency in Health Care
2018
Bayer (Germany)
2017
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
2007-2016
University of Bern
2016
Oeschger Centre for Climate Change Research
2016
University of Bayreuth
2015
Smithsonian Tropical Research Institute
2007
Universität Ulm
2007
Universidad de Los Andes
2007
A global system of harmonized observations is needed to inform scientists and policy-makers.
Summary Habitat loss and degradation, overexploitation, climate change the spread of invasive species are drastically depleting Earth's biological diversity, leading to detrimental impacts on ecosystem services human well‐being. Our ability monitor state biodiversity global environmental this natural capital is fundamental designing effective adaptation mitigation strategies for preventing further diversity. This requires scientific community assess spatio‐temporal changes in distribution...
Abstract Two prominent limitations of species distribution models ( SDM s) are spatial biases in existing occurrence data and a lack spatially explicit predictor variables to fully capture habitat characteristics species. Can emerging remote sensing technologies meet these challenges improve future s? We believe so. Novel products derived from multispectral hyperspectral sensors, as well Light Detection Ranging (LiDAR) RADAR missions, may play key role improving model performance. In this...
Abstract Although satellite‐based variables have for long been expected to be key components a unified and global biodiversity monitoring strategy, definitive agreed list of these still remains elusive. The growth interest in observable from space has partly underpinned by the development essential variable ( EBV ) framework Group on Earth Observations – Biodiversity Observation Network, which itself was guided process identifying climate variables. This contribution aims advance strategy...
Abstract Societal, economic and scientific interests in knowing where biodiversity is, how it is faring what can be done to efficiently mitigate further loss the associated of ecosystem services are at an all‐time high. So far, however, monitoring has primarily focused on structural compositional features ecosystems despite growing evidence that functions key elucidating mechanisms through which biological diversity generates humanity. This gap traced current lack consensus exactly track...
Abstract In an effort to increase conservation effectiveness through the use of Earth observation technologies, a group remote sensing scientists affiliated with government and academic institutions organizations identified 10 questions in for which potential be answered would greatly increased by remotely sensed data analyses those data. Our goals were practitioners’ support their work, collaboration between science communities, identify develop new innovative uses advancing science,...
Many biologists, ecologists, and conservationists are interested in the possibilities that remote sensing offers for their daily work study site analyses as well assessment of biodiversity. However, due to differing technical backgrounds languages, cross-sectorial communication between this group remote-sensing scientists is often hampered. Hardly any really comprehensive studies exist directed towards conservation community provide a solid overview available Earth observation sensors...
Abstract Assessing the level of diversity in plant communities from field‐based data is difficult for a number practical reasons: (1) establishing sampling units to be investigated can difficult; (2) choice sample design impact on results; and (3) defining population concern challenging. Satellite remote sensing (SRS) one most cost‐effective approaches identify biodiversity hotspots predict changes species composition. This because, contrast methods, it allows complete spatial coverages...
The Urban Heat Island (UHI) is the phenomenon of altered increased temperatures in urban areas compared to their rural surroundings. UHIs grow and intensify under extreme hot periods, such as during heat waves, which can affect human health also increase demand for energy cooling. This study applies remote sensing land use/land cover (LULC) data assess cooling effect varying vegetation cover, especially warm city Munich, Germany. To compute relationship between Land Surface Temperature (LST)...
Abstract Biodiversity includes multiscalar and multitemporal structures processes, with different levels of functional organization, from genetic to ecosystemic levels. One the mostly used methods infer biodiversity is based on taxonomic approaches community ecology theories. However, gathering extensive data in field difficult due logistic problems, especially when aiming at modelling changes space time, which assumes statistically sound sampling schemes. In this context, airborne or...
Forest ecosystems fulfill a whole host of ecosystem functions that are essential for life on our planet. However, an unprecedented level anthropogenic influences is reducing the resilience and stability forest as well their functions. The relationships between drivers, stress, in complex, multi-faceted, often non-linear, yet managers, decision makers, politicians need to be able make rapid decisions data-driven based short long-term monitoring information, complex modeling, analysis...
Ecosystem heterogeneity has been widely recognized as a key ecological indicator of several functions, diversity patterns and change, metapopulation dynamics, population connectivity or gene flow.In this paper, we present new R package-rasterdiv-to calculate indices based on remotely sensed data. We also provide an application at the landscape scale demonstrate its power in revealing potentially hidden patterns.The rasterdiv package allows calculating multiple indices, robustly rooted...
Abstract The role of Satellite Remote Sensing in monitoring the Earth's surface is more important than ever, as it allows us to see changes space, time, and across electromagnetic spectrum. Therefore, crucial not only gather data but also analyse, visualize present findings. rstoolbox package offers a suite functions for (a) preprocessing, (b) analysis (c) visualization (multi‐band) remote sensing data, implementing state‐of‐the‐art methods such unsupervised supervised classification, or...
Abstract We studied links between human malnutrition and wild meat availability within the Rainforest Biotic Zone in central Africa. distinguished two distinct hunted mammalian diversity distributions, one rainforest areas (Deep Diversity, DRD) containing taxa of lower hunting sustainability, other northern rainforest-savanna mosaic, with species greater potential (Marginal MRD). Wild availability, assessed by standing crop biomass, was MRD than DRD areas. Predicted bushmeat extraction also...
The decline of biodiversity is one the major current global issues. Still, there a widespread lack information about spatial distribution individual species and as whole. Remote sensing techniques are increasingly used for monitoring especially combination LiDAR hyperspectral data expected to deliver valuable information. In this study patterns vascular plant community composition α-diversity temperate montane forest in Germany were analysed different strata. predictive power (LiD) (MNF)...
Partial migration (when only some individuals in a population undertake seasonal migrations) is common many species and geographical contexts. Despite the development of modern statistical methods for analyzing partial migration, there have been no studies on what influences tropical environments. We present research factors affecting African buffalo (Syncerus caffer) northeastern Namibia. Our dataset derived from 32 satellite tracking collars, spans 4 years contains over 35,000 locations....
Abstract Habitat degradation and hunting have caused the widespread loss of larger vertebrate species (defaunation) from tropical biodiversity hotspots. However, these defaunation drivers impact in different ways and, therefore, require conservation interventions. We conducted landscape-scale camera-trap surveys across six study sites Southeast Asia to assess how moderate intensive, indiscriminate differentially terrestrial mammals birds. found that functional extinction rates were higher...