
Johannes De Groeve- Doctor of Geography
- Data Manager and Analyst at University of Amsterdam
Johannes De Groeve
- Doctor of Geography
- Data Manager and Analyst at University of Amsterdam
About
28
Publications
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Introduction
Johannes De Groeve currently works at the Department of Geography, Ghent University and at the Department of Biodiversity & molecular ecology, Edmund Mach Foundation. Johannes does research in Movement Ecology and Geoinformatics (GIS).
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Publications
Publications (28)
Paleoclimatic variations have profoundly influenced the global distribution of ecosystems and habitats, altering their altitude, spatial configuration, area, and connectivity. Notable examples include island archipelagos and alpine biomes, where shifts in sea-levels and forest lines respectively reshaped their spatial structures. To understand how...
Why aggressive traits evolve in some species but not in others is poorly understood. We modeled the population dynamics of the extinct Mauritius dodo and Rodrigues solitaire to examine divergent pathways in the evolution of aggression. Whereas the dodo conformed to island syndrome predictions of tameness, its sister-taxon the solitaire evolved stro...
Radar is an effective tool for continuous monitoring and quantification of aerial bird movement and used to study migration and local flight behaviour. However, systems with automated tracking algorithms do not provide the level of processing sufficient to guarantee reliable data. Therefore, post‐processing such radar data is required but often non...
This Story Map (https://arcg.is/11u0jj) provides an overview of the research produced during the Interactions between birds and offshore wind farms: drivers consequences and tools for migration project.
This project began in 2018 as an effort to develop knowledge and tools to support the sustainable co-existence of birds and offshore wind farms i...
Human activity and associated landscape modifications alter the movements of animals with consequences for populations and ecosystems worldwide. Species performing long‐distance movements are thought to be particularly sensitive to human impact. Despite the increasing anthropogenic pressure, it remains challenging to understand and predict animals'...
We assess how reptile population extinctions on Mediterranean islands has been influenced since the Last Glacial Maximum (LGM) by the interacting effects of island area, timing of fragmentation, changing climate, and topography. By using geophysical models of sea-level rise we produce island-fragmentation cladograms which depict the sequence and ti...
Context
The Complementary Habitat Hypothesis posits that animals access resources for different needs by moving between complementary habitats that can be seen as ‘resource composites’. These movements can occur over a range of temporal scales, from diurnal to seasonal, in response to multiple drivers such as access to food, weather constraints, ri...
Motivation
Historical changes in sea level caused shifting coastlines that affected the distribution and evolution of marine and terrestrial biota. At the onset of the Last Glacial Maximum (LGM) 26 ka, sea levels were >130 m lower than at present, resulting in seaward‐shifted coastlines and shallow shelf seas, with emerging land bridges leading to...
Context
Diel use of forest and open habitats by large herbivores is linked to species-specific needs of multiple and heterogeneous resources. However, forest cover layers might deviate considerably for a given landscape, potentially affecting evaluations of animals’ habitat use.
Objectives
We assessed inconsistency in the estimates of diel forest...
Context
The Complementary Habitat Hypothesis posits that animals access resources for different needs by moving between complementary habitats that can be seen as ‘resource composites’. These movements can occur on a range of temporal scales, from diurnal to seasonal, responding to multiple drivers, such as access to food, weather constraints, risk...
The fitting of tracking devices to wild animals requires capture and handling which causes stress and can potentially cause injury, behavioural modifications that can affect animal welfare and the output of research. We evaluated post capture and release ranging behaviour responses of roe deer (Capreolus capreolus) for five different capture method...
EUROLYNX (European Lynx Information System) is an open, collaborative project based on a spatial database that stores shared Eurasian lynx Lynx lynx data to investigate variation in behavioural ecology along environmental gradients or population responses to specific conditions, such as habitat changes, impact of human activities, prey densities, o...
Monitoring biodiversity is of increasing importance in natural ecosystems. Metabarcoding can be used as a powerful molecular tool to complement traditional biodiversity monitoring, as total environmental DNA can be analyzed from complex samples containing DNA of different origin. The aim of this research was to demonstrate the potential of pollen D...
Animals exhibit a diversity of movement tactics [1]. Tracking resources that change across space and time is predicted to be a fundamental driver of animal movement [2]. For example, some migratory ungulates (i.e., hooved mammals) closely track the progression of highly nutritious plant green-up, a phenomenon called “green-wave surfing” [3, 4, 5]....
Humans, as super predators, can have strong effects on wildlife behaviour, including profound modifications of diel activity patterns. Subsequent to the return of large carnivores to human‐modified ecosystems, many prey species have adjusted their spatial behaviour to the contrasting landscapes of fear generated by both their natural predators and...
We present methodological advances to a recently developed framework to study sequential habitat use by animals using a visually-explicit and tree-based Sequence Analysis Method (SAM), derived from molecular biology and more recently used in time geography. Habitat use sequences are expressed as annotations obtained by intersecting GPS movement tra...
We present methodological advances to a recently developed framework to study sequential habitat use by animals using a visually-explicit and tree-based Sequence Analysis Method (SAM), derived from molecular biology and more recently used in time geography. Habitat use sequences are expressed as annotations obtained by intersecting GPS movement tra...
The most common framework under which ungulate migration is studied predicts that it is driven by spatio–temporal variation in plant phenology, yet other hypotheses may explain differences within and between species. To disentangle more complex patterns than those based on single species/ single populations, we quantified migration variability usin...
Metabarcoding is a promising DNA-based method for identifying airborne pollen from environmental samples with advantages over microscopic methods. Sample preparation and DNA extraction are of fundamental importance for obtaining an optimal DNA yield. Currently, there is no standard procedure for these steps, especially for gravimetric pollen sample...
Workflow followed for pollen taxonomic identification of environmental samples.
List of species for which new trnL sequences were generated with Sanger sequencing and their accession number in Genbank.
Metabarcoding is a promising DNA-based method for identifying airborne pollen from environmental samples with advantages over microscopic methods. This method requires several preparatory steps of the samples, with the extraction protocol being of fundamental importance to obtain an optimal DNA yield. Currently, there is no consensus in sample prep...
A DNA-based methodology for airborne pollen identification in complex environmental samples
Digital tracking technologies have considerably increased the amount and quality of movement trajectories, improving our abilities to study any type of moving objects. A study field that has been largely reshaped in that context is animal ecology. Complex concepts such as habitat use are becoming increasingly clear due to availability of fine-scale...
1.Digital tracking technologies have considerably increased the amount and quality of animal trajectories, enabling the study of habitat use and habitat selection at a fine spatial and temporal scale. However, current approaches do not yet explicitly account for a key aspect of habitat use, namely the sequential variation in the use of different ha...