Professorship for Theoretical Ecology
The Professorship for Theoretical Ecology at the University of Regensburg / Germany studies theory and statistical methods in ecology, evolution and conservation.
Key research areas are
Higher or secondary education establishment
Higher or secondary education establishment
It is an organisation which has as main objectives training and education, and delivers state recognized Page 17 26/11/2012 blanc Unique Registration Facility User’s Guide (26-11-2012) – Release 5.0.6 Page 17 of 75 FIELD COMMENT diplomas.
UNIBA_DISAAT
Department of Agri-Environmental and Territorial Sciences
Klaipeda University
Various departments and science institutes of Klaipeda University are involved in studies on biological invasion, ecoinformatics, ecological modeling, plankton ecology and trophodynamics, geology, geomorphology and biogeochemisty, benthic habitat ecology, marine spatial planning, environmental impact assessment.
National Oceanography Centre, Southampton (Discovery Collections)
The Discovery Collections held at the National Oceanography Centre in Southampton is an actively growing collection of deep-sea organisms dating back to 1925 (http://noc.ac.uk/data/discovery-collections). As a specialised collection with a long history we are particularly interested in :
University of Freiburg, Department of Biometry and Environmental System Analysis
The research of the Department of Biometry and Environmental System Analysis concentrates on statistical and process-based models of terrestrial and marine systems, with a focus on species distribution modeling, vegetation models, plant-pollinator networks, phylogenetic analysis, conservation, evidence-based policy and ecosystem services. For details see our website http://www.biom.uni-freiburg.de/
UNITO - DISAFA
We are a research group on mountain forest ecology and silviculture within the Department of Agricultural, Forest and Food Science at the University of Turin.
Our interests focus on forest and landscape ecology, forest stand dynamics, natural and man-made disturbances to ecosystems, wildlife-frest interactions, habitat modeling, dendrochronology, climate change ecology, forest restoration, invasive species, simulation modeling, and applications of LIDAR and remote sensing to silviculture and harvesting.
Centre for Ecological and Evolutionary Synthesis
The Centre for Ecological and Evolutionary Synthesis (CEES) combines a broad spectrum of disciplines (such as population biology, statistical and mathematical modelling and genomics) to foster the concept of ecology as a driving force of evolution via selective processes, with a corresponding influence of evolutionary changes on ecology.
In this current context CEES is interested in projects related to biodiversity as an important ecosystem function and how it may provide ecosystem services to mankind.
Alexander Garcia
Knowledge and Ontology Engineering, also expertise in scholarly communication in the biomedical domain, text mining, bioinformatics and social web technology. We are leading efforts such as DBPEDIA, BIOTEA, active participants in SmartProtocols.org, and W3 working groups.
Natural History Museum, University of Tartu
Natural History Museum of the University of Tartu is responsible for the development of eBiodiversity portal (elurikkus.ut.ee) where most Estonian taxon occurrences are publicly available. Museum also developes the PlutoF (plutof.ut.ee) which provides free biodiversity database and computing services. Most Estonian scientific collections are using PlutoF online system as well as many individuals (including Citizen Scientists) and international research communities (e.g. unite.ut.ee).
Department of Bioscience
Predictive ecological modeling (State-space models, SEM, Bayesian MCMC, Partition of variance into process and sampling variance, Quantification of uncertainty) (Damgaard, 2012, Damgaard et al., 2014)
Fine-grained high-quality longitudinal plant cover data from 17 Danish light-open habitat types (Nielsen et al., 2012).
Ecological data needed for process-based predictive models: Longitudinal data on the ecosystem level from experimental sites where either the climate or agricultural pressures (nitrogen and pesticides are varied.