A5077281177- Species Distribution and Climate Change
- Ecology and Vegetation Dynamics Studies
- Environmental DNA in Biodiversity Studies
- Microbial Community Ecology and Physiology
- Plant and animal studies
- Physiological and biochemical adaptations
- Evolution and Paleontology Studies
- Evolution and Genetic Dynamics
- Wildlife Ecology and Conservation
- Marine and fisheries research
- Forest Insect Ecology and Management
- Animal and Plant Science Education
- Fish Ecology and Management Studies
- Marine Biology and Ecology Research
- Geology and Paleoclimatology Research
- Earth Systems and Cosmic Evolution
- Land Use and Ecosystem Services
- Paleontology and Stratigraphy of Fossils
- Coral and Marine Ecosystems Studies
- Botany and Plant Ecology Studies
- Genetic diversity and population structure
- Sustainability and Ecological Systems Analysis
- Remote Sensing in Agriculture
- Identification and Quantification in Food
ETH Zurich
2020-2024
Swiss Federal Institute for Forest, Snow and Landscape Research
2020-2024
Abstract Environmental DNA (eDNA) analysis is a revolutionary method to monitor marine biodiversity from animal traces. Examining the capacity of eDNA provide accurate measures in species‐rich ecosystems such as coral reefs prerequisite for their application long‐term monitoring. Here, we surveyed two Colombian tropical reefs, island Providencia and Gayraca Bay near Santa Marta, using underwater visual census (UVC) methods. We collected large quantity surface water (30 L per filter) above...
Understanding the origins of biodiversity has been an aspiration since days early naturalists. The immense complexity ecological, evolutionary, and spatial processes, however, made this goal elusive to day. Computer models serve progress in many scientific fields, but fields macroecology macroevolution, eco-evolutionary are comparatively less developed. We present a general, spatially explicit, engine with modular implementation that enables modeling multiple macroecological...
Selecting the best subset of covariates out a panel many candidates is key and highly influential stage species distribution modelling process. Yet, there currently no commonly accepted widely adopted standard approach by which to perform this selection. We introduce two-step "embedded" covariate selection procedure aimed at optimizing predictive ability parsimony models fitted in context high-dimensional candidate space. The combines collinearity-filtering algorithm (Step A) with three...
Predicting contemporary and future species distributions is relevant for science decision making, yet the development of high‐resolution spatial predictions numerous taxonomic groups regions limited by scalability available modelling tools. Uniting distribution (SDM) techniques into one high‐performance computing (HPC) pipeline, we developed N‐SDM , an SDM platform aimed at delivering reproducible outputs standard biodiversity assessments. was built around a spatially‐nested framework,...
Abstract Standard and easily accessible cross-thematic spatial databases are key resources in ecological research. In Switzerland, as many other countries, available data scattered across computer servers of research institutions rarely provided standard formats (e.g., different extents or projections systems, inconsistent naming conventions). Consequently, their joint use can require heavy management geomatic operations. Here, we introduce SWECO25 , a Swiss-wide raster database at 25-meter...
Abstract The conservation and restoration of forest ecosystems require detailed knowledge the native plant compositions. Here, we map global tree composition assess impacts historical cover loss climate change on trees. occupancy 10,590 species reveals complex taxonomic phylogenetic gradients determining a local signature lineage assembly. Species analyses indicate that has significantly restricted potential suitable range in all biomes. Nevertheless, tropical moist boreal biomes display...
The rapid loss of biodiversity in freshwater systems asks for a robust and spatially explicit understanding species' occurrences. As two complementing approaches, habitat suitability models provide information about potential occurrence, while environmental DNA (eDNA) based assessments indication actual occurrence. Individually, both approaches are used ecological studies to characterize biodiversity, yet they rarely combined. Here, we integrated high‐resolution with eDNA‐based aquatic...
Monitoring of terrestrial and aquatic species assemblages at large spatial scales based on environmental DNA (eDNA) has the potential to enable evidence-based policymaking. The coverage eDNA-based studies varies substantially, ability eDNA metabarcoding capture regional biodiversity remains be assessed; thus, questions about best practices in sampling design entire landscapes remain open. We tested extent which can diversity a region with highly heterogeneous habitat patches across wide...
The documentation of biodiversity distribution through species range identification is crucial for macroecology, biogeography, conservation, and restoration. However, plants, maps remain scarce often inaccurate. We present a novel approach to map ranges at global scale, integrating polygon mapping modelling (SDM). develop algorithm by considering distances nestedness occurrences. further apply an SDM multiple algorithms, complexity levels, pseudo-absence selections the high spatial...
ABSTRACT Climate projections for continental Europe indicate drier summers, increased annual precipitation, and less snowy winters, which are expected to cause shifts in species' distributions. Yet, most regions/countries currently lack comprehensive climate‐driven biodiversity across taxonomic groups, challenging effective conservation efforts. To address this gap, our study evaluated the potential effects of climate change on an alpine country Europe, Switzerland. We used a state‐of‐the...
Abstract Aim Tropical America, including the Eastern Pacific and Caribbean Sea, presents a high level of marine biodiversity, but its fish fauna has been poorly documented. In early studies species distributions were interpreted based on tectonic activity during late Cenozoic, while more recent have highlighted link with present‐day environment. Here, we described assemblage richness composition fishes in America related these properties to both past evolution environmental conditions...
Abstract Understanding the origins of biodiversity has been an aspiration since days early naturalists. The immense complexity ecological, evolutionary and spatial processes, however, made this goal elusive to day. Computer models serve progress in many scientific fields, but fields macroecology macroevolution, eco-evolutionary are comparatively less developed. We present a general, spatially-explicit, engine with modular implementation that enables modelling multiple macroecological...
Environmental pressures on species can cascade within food webs and even extend beyond individual ecosystems to interconnected systems at large spatial scales. To facilitate the exploration of these dynamics, we construct a data-based national trophic meta-food web (henceforth metaweb), that includes well-documented vertebrates, invertebrates, vascular plants Switzerland's boundaries, compiles 160 years ecological knowledge. We additionally use combination taxonomic geographic information...
<p>Explaining the origin of large-scale biodiversity gradients has been a key aspiration early naturalists such as Wegener, Darwin and Humboldt; who looked at natural processes in an integrated way. Early on, these acknowledged role plate tectonics climate variations shaping modern day patterns.<span> </span></p><p>As science advanced, complexity ecological, evolutionary, geological climatological became...
Abstract The restoration of forest ecosystems is associated with key benefits for biodiversity and ecosystem services. Where possible, efforts should be guided by a detailed knowledge the native flora to regenerate in way that natural biodiversity, services, nature’s contribution people. Machine learning can map ecological suitability tree species globally, which then guide efforts, especially regions where about still insufficient. We developed an algorithm combines niche modelling...