A5018504497- Species Distribution and Climate Change
- Wildlife Ecology and Conservation
- Ecology and Vegetation Dynamics Studies
- Bayesian Modeling and Causal Inference
- Genetic diversity and population structure
- Spatial and Panel Data Analysis
- Statistical Methods and Bayesian Inference
- Remote Sensing and LiDAR Applications
- demographic modeling and climate adaptation
- Avian ecology and behavior
- Soil Geostatistics and Mapping
- Atmospheric and Environmental Gas Dynamics
- Botany and Plant Ecology Studies
- Statistical Methods and Inference
- Linguistic Variation and Morphology
- Statistical Methods in Clinical Trials
- Animal Ecology and Behavior Studies
- Wildlife-Road Interactions and Conservation
- Ecology, Conservation, and Geographical Studies
- Bat Biology and Ecology Studies
- Advanced Causal Inference Techniques
- Gaussian Processes and Bayesian Inference
- Nutritional Studies and Diet
- Statistical Distribution Estimation and Applications
- Optimal Experimental Design Methods
Swiss Ornithological Institute
2011-2024
Praxis
2023
Kanton Aargau
2023
University of Lausanne
2008
Abstract Species distribution models ( SDM s) are widely used in ecology and related fields. They frequently adopted to predict the expected occurrence (presence/absence) or abundance over large spatial scales, that is, produce a species map. Two issues almost universally affect these measurement errors (especially imperfect detection) residual autocorrelation. We explored effects of detection autocorrelation by simulating datasets which did not contain two analysing them with four different...
Species Distribution Models (SDMs) are essential tools for predicting climate change impact on species’ distributions and commonly employed as an informative tool which to base management conservation actions. Focusing only a part of the entire distribution species fitting SDMs is common approach. Yet, geographically restricting their range can result in considering subset ecological niche (i.e., truncation) could lead biased spatial predictions future effects, particularly if conditions...
Ring re‐encounter data, in particular ring recoveries, have made a large contribution to our understanding of bird movements. However, almost every study based on data has struggled with the bias caused by unequal observer distribution. Re‐encounter probabilities are strongly heterogeneous space and over time. If this heterogeneity can be measured or at least controlled for, enormous number collected used effectively answer many questions. Here, we review four different approaches account...
The effects of patch size and isolation on metapopulation dynamics have received wide empirical support theoretical formalization. By contrast, the quality seem largely underinvestigated, partly due to technical difficulties in properly assessing quality. Here we combine habitat-quality modeling with four years demographic monitoring a greater white-toothed shrews (Crocidura russula) investigate role processes. Together, local connectivity significantly enhanced population sizes occupancy...
Summary 1. Spatial capture–recapture models make use of auxiliary data on capture location to provide density estimates for animal populations. Previously, have been developed primarily fixed trap arrays which define the observable locations individuals by a set discrete points. 2. Here, we develop class ‘search‐encounter’ data, i.e. detections recognizable in continuous space, not restricted locations. In our hierarchical model, detection probability is related average distance between...
Abstract Global change in climate and land use has profound effects on species' geographic elevational distributions. In European birds, while species are predicted to track their climatic niches upslope, lowland agricultural intensification high‐elevation abandonment can drive shifts. Species traits that predict response inform conservation, but a thorough examination of relationships with shifts birds is lacking. We estimate the distributions 71 from 1996 2016 region western Palearctic...
Abstract Aim In biodiversity monitoring, observational data are often collected in multiple, disparate schemes with greatly varying degrees of standardization and possibly at different spatial temporal scales. Technical advances also change the type over time. The resulting heterogeneous datasets deemed to be incompatible. Consequently, many available may ignored practical analyses. Here, we propose a more efficient use assess species distributions population trends. Location Switzerland...
Recent developments in metacommunity theory have raised awareness that processes occurring at regional scales might interfere with local dynamics and affect conditions for the coexistence of competing species.Four main paradigms are recognized this context (namely neutral, patch-dynamics, species-sorting, mass-effect), differ according to role assigned ecological or life-history differences among species, as well relative time scale vs. dynamics.We investigated over four generations patterns...
Countries' agricultural systems have an important impact on biodiversity, for example bird populations. Here, we estimate such impacts by exploiting a natural experiment in the middle of Europe, where there is naturally homogenous area that divided into three countries: Switzerland, Germany, and France. These countries markedly different policies. Using methodologically unified unusually rich dataset available across these borders, both 2010s 1990s, analyze (a) whether clear pattern...
Multi-species indices (MSI) are widely used as ecological indicators and instruments to inform environmental policies. Many of these combine species-specific estimates relative population sizes using the geometric mean. Because mean is not defined when values zero occur, usually only commoner species included in MSIs replaced by a small non-zero value. The latter can exhibit an arbitrary influence on MSI. Here, we show how compound Poisson negative binomial model be such cases obtain MSI...
Many wildlife species consume food or refuse provided by humans. To understand the effect of anthropogenic subsidies on populations, we first need to quantify where and when individuals can access such sources. The Red Kite Milvus milvus is an opportunistic raptor uses both inadvertent deliberate citizens. Here present a new approach using global positioning system (GPS)‐tracking data predict probably occur. We tracked 497 with solar‐powered GPS transmitters over average 3.2 (range 1–9)...