A5036204270- Species Distribution and Climate Change
- Forest Ecology and Biodiversity Studies
- Lichen and fungal ecology
- Slime Mold and Myxomycetes Research
- Genomics and Phylogenetic Studies
- Plant and animal studies
- Advanced Computational Techniques and Applications
- Environmental DNA in Biodiversity Studies
- Insect and Arachnid Ecology and Behavior
- Insect and Pesticide Research
- Biomedical Text Mining and Ontologies
- Semantic Web and Ontologies
- Zoonotic diseases and public health
- Research Data Management Practices
- Invertebrate Taxonomy and Ecology
- Scientific Computing and Data Management
- Bat Biology and Ecology Studies
- Gene expression and cancer classification
- Plant and fungal interactions
- Identification and Quantification in Food
- Cancer Research and Treatments
- Ecology and Conservation Studies
- Microbial Community Ecology and Physiology
- Marine and fisheries research
- Digital Humanities and Scholarship
Ronin Institute
2020-2024
University of California, Santa Barbara
2021-2023
Meise Botanic Garden
2020-2022
Research Institute for Nature and Forest
2022
University of Turin
2022
EcoHealth Alliance
2022
Bucknell University
2020-2022
Stellenbosch University
2022
American Museum of Natural History
2020-2022
Arizona State University
2020-2022
An intricate network of interactions between organisms and their environment form the ecosystems that sustain life on earth. With a detailed understanding these interactions, ecologists biologists can make better informed predictions about ways different environmental factors will impact ecosystems. Despite abundance research data biotic abiotic no comprehensive easily accessible collection is available spans taxonomic, geospatial, temporal domains. Biotic-interaction datasets are...
Essential Biodiversity Variables (EBV) are fundamental variables that can be used for assessing biodiversity change over time, determining adherence to policy, monitoring progress towards sustainable development goals, and tracking responses disturbances management interventions. Data from observations or models provide measured estimated EBV values, which we refer as data products, help capture the above processes trends serve a coherent framework documenting in biodiversity. Using primary...
Organizational structure for the proposed IsoBank. A central executive group would oversee four subcommittees (SC): Information technology, integrative disciplinary, education and training, analytical expertise. GNIP, Global Network of Isotopes in Precipitation; IAEA, International Atomic Energy Association; QA/QC, quality assurance/quality control.
Abstract Traits have become a crucial part of ecological and evolutionary sciences, helping researchers understand the function an organism's morphology, physiology, growth life history, with effects on fitness, behaviour, interactions environment ecosystem processes. However, measuring, compiling analysing trait data comes data‐scientific challenges. We offer 10 (mostly) simple rules, some detailed extensions, as guide in making critical decisions that consider entire cycle data. This...
Abstract Dietary niche width and trophic position are key functional traits describing a consumer’s ecology the role it plays in community. However, our understanding of environmental biological drivers both is predominantly derived from theory or geographically restricted studies lacks broad empirical evaluation. We calculated dietary 2,938 marine fishes examined relationship with species’ maximum length geographic range, addition to species richness, productivity, seasonality water...
Nanopublications are a Linked Data format for scholarly data publishing that has received considerable uptake in the last few years.In contrast to common practice, nanopublications work at granular level of atomic information snippets and provide consistent container attach provenance metadata this level.While is domain-independent, datasets have become available mostly from Life Science domains, including about diseases, genes, proteins, drugs, biological pathways, biotic interactions.More...
Development of ecosystem-based fisheries management models depends, to a large extent, on the availability trophic interaction data. These could address ecological questions, examine ecosystem structure, and be used in placement analysis for marine protected areas, among other uses. Many studies fish interactions have been conducted gulf mexico over past 120 yrs, we are currently compiling data from these into database. Here, report collection 747 references, investigate spatial taxonomic...
Synthesising trait observations and knowledge across the Tree of Life remains a grand challenge for biodiversity science. Despite well-recognised importance traits addressing ecological evolutionary questions, trait-based approaches still struggle with several basic data requirements to deliver openly accessible, reproducible, transparent Here, we introduce Open Traits Network (OTN) – decentralised alliance international researchers institutions focused on collaborative integration...
No systematic approach has yet been adopted to reliably reference and provide access digital biodiversity datasets. Based on accumulated evidence, we argue that location-based identifiers such as URLs are not sufficient ensure long-term data access. We introduce a method uses dedicated observatories evaluate URL reliability. From March 2019 through May 2020, took periodic inventories of the provided major aggregators, including GBIF, iDigBio, DataONE, BHL by accessing URL-based dataset...
Commonly used data citation practices rely on unverifiable retrieval methods which are susceptible to content drift, occurs when the associated with an identifier have been allowed change. Based our earlier work reliable dataset identifiers, we propose signed citations, i.e., customary citations extended also include a standards-based, verifiable, unique, and fixed-length digital signature. We show that signatures enable independent verification of cited can improve persistence citation....
A central problem in biodiversity data science remains the inability to precisely aggregate observations that originate from same species. Current approaches still rely heavily on ‘ Genus species ’ pair of Linnaean taxonomy label and group data. However, such binomial names do not alone contain enough information distinguish variation a name’s conceptual usage (i.e., meaning) across time, place, or investigator. This “species name-to-meaning” is well known, but no robust scalable solutions...
While bees are critical to sustaining a large proportion of global food production, as well pollinating both wild and cultivated plants, they decreasing in numbers diversity. Our understanding the factors driving these declines is limited, part, because we lack sufficient data on distribution bee species predict changes their geographic range under climate change scenarios. Additionally lacking adequate behavioral anatomical traits that may make either vulnerable or resilient human-induced...
Biodiversity information is made available through numerous databases that each have their own data models, web services, and types. Combining across leads to new insights, but not easy because database uses its system of identifiers. In the absence stable interoperable identifiers, are often linked using taxonomic names. This labor intensive, error prone, lengthy process relies on accessible versions nomenclatural authorities fuzzy-matching algorithms. To approach challenge linking diverse...
Domestic and captive animals cultivated plants should be recognised as integral components in contemporary ecosystems. They interact with wild organisms through such mechanisms hybridization, predation, herbivory, competition disease transmission and, many cases, define ecosystem properties. Nevertheless, it is widespread practice for data on domestic, to excluded from biodiversity repositories, natural history collections. Furthermore, there a lack of integration collected about...
Tens of millions images from biological collections have become available online over the last two decades. In parallel, there has been a dramatic increase in capabilities image analysis technologies, especially those involving machine learning and computer vision. While mainstream consumer applications, it is still used only on an artisanal basis community, largely because corpora are dispersed. Yet, massive untapped potential for novel applications research if collection objects could be...