A5000344032- Species Distribution and Climate Change
- Wildlife Ecology and Conservation
- Rangeland Management and Livestock Ecology
- Ecology and Vegetation Dynamics Studies
- Wildlife-Road Interactions and Conservation
- Remote Sensing in Agriculture
- Forest ecology and management
- Satellite Image Processing and Photogrammetry
- Plant and animal studies
- Cryospheric studies and observations
- Genetic diversity and population structure
- Rangeland and Wildlife Management
- Land Use and Ecosystem Services
- Fire effects on ecosystems
- Soil Moisture and Remote Sensing
- Arctic and Russian Policy Studies
- Geochemistry and Geologic Mapping
- Soil Geostatistics and Mapping
- Advanced Image Fusion Techniques
- Plant Water Relations and Carbon Dynamics
- Forest Ecology and Biodiversity Studies
- Innovation Diffusion and Forecasting
- Precipitation Measurement and Analysis
- Climate change impacts on agriculture
- Flood Risk Assessment and Management
German Centre for Integrative Biodiversity Research
2019-2024
University of Bonn
2024
TU Dresden
2023-2024
University of Würzburg
2017-2019
Bayer (Germany)
2017
Eurac Research
2014-2015
Universidade do Porto
2012
Species distribution models (SDMs) have proven valuable in filling gaps our knowledge of species occurrences. However, despite their broad applicability, SDMs exhibit critical shortcomings due to limitations occurrence data. These include, particular, issues related sample size, positional uncertainty, and sampling bias. In addition, it is widely recognised that the quality as well approaches used mitigate impact aforementioned data depend on ecology. While numerous studies evaluated effects...
This paper presents an approach for retrieval of soil moisture content (SMC) from different satellite sensors with a focus on mountain areas. The novelties the are: extension already developed method to coarse resolution data (150 m) in environment high land heterogeneity, only VV polarization and proper selection input features. During result analysis, several algorithm characteristics were clearly identified: 1) performances showed be strongly related features such as topography vegetation...
Abstract Land cover is a key variable in the context of climate change. In particular, crop type information essential to understand spatial distribution water usage and anticipate risk scarcity consequent danger food insecurity. This applies arid regions such as Aral Sea Basin (ASB), Central Asia, where agriculture relies heavily on irrigation. Here, remote sensing valuable map types, but its quality depends consistent ground-truth data. Yet, ASB, data are missing. Addressing this issue, we...
Abstract Visualizing movement data is challenging: While traditional spatial can be sufficiently displayed as two‐dimensional plots or maps, trajectories require the representation of time in a third dimension. To address this, we present moveVis , an r package, which provides tools to animate trajectories, overlaying simultaneous uni‐ multi‐temporal raster imagery vector data. automates processing and environmental turn such into animation. This includes (a) regularization enforcing uniform...
Abstract Optical remote sensing is an important tool in the study of animal behavior providing ecologists with means to understand species–environment interactions combination movement data. However, differences spatial and temporal resolution between data limit their direct assimilation. In this context, we built a data‐driven framework map resource suitability that addresses these as well limitations satellite imagery. It combines seasonal composites multiyear surface reflectances...
Summary Numerous plant species are expanding their native ranges due to anthropogenic environmental change. Because cytotypes of polyploid complexes often show similar morphologies, there may be unnoticed range expansions (i.e. cryptic invasions) one cytotype into regions where only the other is native. We critically revised herbarium specimens diploid and tetraploid Centaurea stoebe , collected across Europe between 1790 2023. Based on distribution in natural relict habitats phylogeographic...
Abstract Remote sensing is a valuable tool in movement ecology. However, the way it combined with animal data far from optimal as most studies overlook differences spatial, temporal and thematic resolutions between both types. rsmove uses pixel‐based approach to link tracking remote that bridge gap these two disciplines while respecting limitations of latest. Additionally, if offers standardize methods pre‐analyse connection environmental change. The package guides choice study sites,...
Satellite remote sensing is vital for monitoring, research, and policy addressing sustainability challenges from climate ecosystem changes to food water security. Here, Landsat satellite data play a crucial role, thanks their unique global, long-term, high-resolution coverage. Yet, gaps quality limitations in the archive may propagate into derived remote-sensing products thereby threaten validity of downstream applications, especially when users have limited training sensing. To improve...
Abstract Human activities continue to create land-use/land-cover (LULC) change across the Earth’s surface, and together with climate change, are major drivers of changes in biodiversity through time. However, impacts these spatiotemporally variable on can be complex. We examined effects interactions between LULC bird communities continental United States over nearly three decades. analyzed temperature precipitation data alongside tree-canopy, cropland, urban, surface-water cover understand...
Abstract Land cover is a key variable in monitoring applications and new processing technologies made deriving this information easier. Yet, classification algorithms remain dependent on samples collected the field campaigns are limited by financial, infrastructural political boundaries. Here, animal tracking data could be an asset. Looking at land dependencies of behaviour, we can obtain over places that difficult to access. Following premise, evaluated potential movement map cover....
Losses and gains in canopy cover of the world’s tree canopies affect carbon stocks, species habitats, water cycles, human livelihoods. Consistent multi-decadal global data on tree-canopy dynamics are needed for modelling climate scenarios, tracking progress towards restoration targets, diverse other research, management policy applications. However, most only map binary ‘forest’/‘non forest’ distinctions that regionally restricted or biassed by gaps, those mapping limited to 21st century,...
Species distribution models (SDMs) have proven valuable in filling gaps our knowledge of species occurrences. However, despite their broad applicability, SDMs exhibit critical shortcomings due to limitations occurrence data. These include, particular, issues related sample size, positional error, and sampling bias. In addition, it is widely recognized that the quality as well approaches used mitigate impact aforementioned data are dependent on ecology. While numerous studies experimentally...
Vegetation structure data are essential for understanding the functioning of terrestrial ecosystems and informing various science-policy interfaces. Recent years have seen a growing demand high-resolution on vegetation structure, driving prediction such metrics at fine resolutions (1 m - 30 m) state, continental, global scales by combining satellite with machine learning. As these initiatives expand, it is crucial remote sensing ecological communities to actively discuss quality usability...
On mountain areas, one main important pre-processing step for optical satellite imagery is the topographic correction. The illumination condition strongly depends on area topography, sun elevation and azimuth acquisition geometry of sensor. These elements generate unequal light distribution over observed surface. This effect needs to be corrected improve classification parameters retrieval performances. In this paper, a novel empirical approach correction presented using combined (direct...
The global expansion and intensification of food production threaten biodiversity, vital for ecosystem services security. Kunming-Montreal Global Biodiversity Framework (GBF) advocates drastic changes in agricultural management, yet translating recommendations into local action is challenging. Biodiversity-friendly practices carry highly uncertain benefits, dissuading their adoption. Reducing uncertainties demands systematic data on biodiversity-yield interactions. Yet, many biodiversity...