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Your search keyword '"Dettki H"' showing total 3 results
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3 results on '"Dettki H"'

1. A standardisation framework for bio‐logging data to advance ecological research and conservation

Author

Sequeira, A.M.M., O'Toole, M., Keates, T.R., McDonnell, L.H., Braun, C.D., Hoenner, X., Jaine, F.R.A., Jonsen, I.D., Newman, P., Pye, J., Bograd, S.J., Hays, G.C., Hazen, E.L., Holland, M., Tsontos, V.M., Blight, C., Cagnacci, F., Davidson, S.C., Dettki, H., Duarte, C.M., Dunn, D.C., Eguíluz, V.M., Fedak, M., Gleiss, A.C., Hammerschlag, N., Hindell, M.A., Holland, K., Janekovic, I., McKinzie, M.K., Muelbert, M.M.C., Pattiaratchi, C., Rutz, C., Sims, D.W., Simmons, S.E., Townsend, B., Whoriskey, F., Woodward, B., Costa, D.P., Heupel, M.R., McMahon, C.R., Harcourt, R., Weise, M., Codling, E., Sequeira, A.M.M., O'Toole, M., Keates, T.R., McDonnell, L.H., Braun, C.D., Hoenner, X., Jaine, F.R.A., Jonsen, I.D., Newman, P., Pye, J., Bograd, S.J., Hays, G.C., Hazen, E.L., Holland, M., Tsontos, V.M., Blight, C., Cagnacci, F., Davidson, S.C., Dettki, H., Duarte, C.M., Dunn, D.C., Eguíluz, V.M., Fedak, M., Gleiss, A.C., Hammerschlag, N., Hindell, M.A., Holland, K., Janekovic, I., McKinzie, M.K., Muelbert, M.M.C., Pattiaratchi, C., Rutz, C., Sims, D.W., Simmons, S.E., Townsend, B., Whoriskey, F., Woodward, B., Costa, D.P., Heupel, M.R., McMahon, C.R., Harcourt, R., Weise, M., and Codling, E.

Abstract

Bio‐logging data obtained by tagging animals are key to addressing global conservation challenges. However, the many thousands of existing bio‐logging datasets are not easily discoverable, universally comparable, nor readily accessible through existing repositories and across platforms, slowing down ecological research and effective management. A set of universal standards is needed to ensure discoverability, interoperability and effective translation of bio‐logging data into research and management recommendations. We propose a standardisation framework adhering to existing data principles (FAIR: Findable, Accessible, Interoperable and Reusable; and TRUST: Transparency, Responsibility, User focus, Sustainability and Technology) and involving the use of simple templates to create a data flow from manufacturers and researchers to compliant repositories, where automated procedures should be in place to prepare data availability into four standardised levels: (a) decoded raw data, (b) curated data, (c) interpolated data and (d) gridded data. Our framework allows for integration of simple tabular arrays (e.g. csv files) and creation of sharable and interoperable network Common Data Form (netCDF) files containing all the needed information for accuracy‐of‐use, rightful attribution (ensuring data providers keep ownership through the entire process) and data preservation security. We show the standardisation benefits for all stakeholders involved, and illustrate the application of our framework by focusing on marine animals and by providing examples of the workflow across all data levels, including filled templates and code to process data between levels, as well as templates to prepare netCDF files ready for sharing. Adoption of our framework will facilitate collection of Essential Ocean Variables (EOVs) in support of the Global Ocean Observing System (GOOS) and inter‐governmental assessments (e.g. the World Ocean Assessment), and will provide a starting point for broader

Published
2021

2. A standardisation framework for bio-logging data to advance ecological research and conservation

Author

Sequeira, AMM, O'Toole, M, Keates, TR, McDonnell, LH, Braun, CD, Hoenner, X, Jaine, FRA, Jonsen, ID, Newman, P, Pye, J, Bograd, SJ, Hays, Graeme, Hazen, EL, Holland, M, Tsontos, VM, Blight, C, Cagnacci, F, Davidson, SC, Dettki, H, Duarte, CM, Dunn, DC, Eguíluz, VM, Fedak, M, Gleiss, AC, Hammerschlag, N, Hindell, MA, Holland, K, Janekovic, I, McKinzie, MK, Muelbert, MMC, Pattiaratchi, C, Rutz, C, Sims, DW, Simmons, SE, Townsend, B, Whoriskey, F, Woodward, B, Costa, DP, Heupel, MR, McMahon, CR, Harcourt, R, Weise, M, Sequeira, AMM, O'Toole, M, Keates, TR, McDonnell, LH, Braun, CD, Hoenner, X, Jaine, FRA, Jonsen, ID, Newman, P, Pye, J, Bograd, SJ, Hays, Graeme, Hazen, EL, Holland, M, Tsontos, VM, Blight, C, Cagnacci, F, Davidson, SC, Dettki, H, Duarte, CM, Dunn, DC, Eguíluz, VM, Fedak, M, Gleiss, AC, Hammerschlag, N, Hindell, MA, Holland, K, Janekovic, I, McKinzie, MK, Muelbert, MMC, Pattiaratchi, C, Rutz, C, Sims, DW, Simmons, SE, Townsend, B, Whoriskey, F, Woodward, B, Costa, DP, Heupel, MR, McMahon, CR, Harcourt, R, and Weise, M

Published
2021

3. Opportunities for the application of advanced remotely-sensed data in ecological studies of terrestrial animal movement.

Author

Neumann W, Martinuzzi S, Estes AB, Pidgeon AM, Dettki H, Ericsson G, and Radeloff VC

Abstract

Animal movement patterns in space and time are a central aspect of animal ecology. Remotely-sensed environmental indices can play a key role in understanding movement patterns by providing contiguous, relatively fine-scale data that link animal movements to their environment. Still, implementation of newly available remotely-sensed data is often delayed in studies of animal movement, calling for a better flow of information to researchers less familiar with remotely-sensed data applications. Here, we reviewed the application of remotely-sensed environmental indices to infer movement patterns of animals in terrestrial systems in studies published between 2002 and 2013. Next, we introduced newly available remotely-sensed products, and discussed their opportunities for animal movement studies. Studies of coarse-scale movement mostly relied on satellite data representing plant phenology or climate and weather. Studies of small-scale movement frequently used land cover data based on Landsat imagery or aerial photographs. Greater documentation of the type and resolution of remotely-sensed products in ecological movement studies would enhance their usefulness. Recent advancements in remote sensing technology improve assessments of temporal dynamics of landscapes and the three-dimensional structures of habitats, enabling near real-time environmental assessment. Online movement databases that now integrate remotely-sensed data facilitate access to remotely-sensed products for movement ecologists. We recommend that animal movement studies incorporate remotely-sensed products that provide time series of environmental response variables. This would facilitate wildlife management and conservation efforts, as well as the predictive ability of movement analyses. Closer collaboration between ecologists and remote sensing experts could considerably alleviate the implementation gap. Ecologists should not expect that indices derived from remotely-sensed data will be directly analogous to field-collected data and need to critically consider which remotely-sensed product is best suited for a given analysis.

Published
2015
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