Integrated Marine Information System (IMIS)

Data Policy
Persons | Institutes | Publications | Projects | Datasets
[ report an error in this record ]basket (1): add | show Print this page

one publication added to basket [292452]
Collaborative seabed-habitat mapping: Uncertainty in sediment data as an obstacle in harmonization
Van Heteren, S.v.H.; Van Lancker, V. (2015). Collaborative seabed-habitat mapping: Uncertainty in sediment data as an obstacle in harmonization, in: Diviacco, P. et al. Collaborative knowledge in scientific research networks. Advances in Knowledge Acquisition, Transfer, and Management (AKATM), : pp. 154-176. https://dx.doi.org/10.4018/978-1-4666-6567-5.ch008
In: Diviacco, P. et al. (Ed.) (2015). Collaborative knowledge in scientific research networks. IGI Global: Hershey. ISBN 978-1-4666-6567-5. 461 pp.
In: Advances in Knowledge Acquisition, Transfer, and Management (AKATM). IGI Global: Hershey. ISSN 2326-7607; e-ISSN 2326-7615

Available in  Authors 

Authors  Top 
  • Van Heteren, S.v.H.
  • Van Lancker, V.

Abstract
    This chapter discusses the uncertainties associated with sediment data, which are a commonly neglected obstacle in collaborative seabed-habitat mapping, complicating harmonization. Standardization of these data, although an important prerequisite in the harmonization of surrogate-based habitat maps, is not enough to achieve full map uniformity. Through time and between research institutes, data have been acquired, described, analyzed, and classified using a range of methods and protocols. The effects of dif- fering error margins and indicative meanings remain hidden for most end users in environmental science and policy. The interpolation required to generate full-coverage data products from sedimentological point data creates additional uncertainty. Finally, small-scale habitat heterogeneity not captured by even the densest sampling places limits on the usability of sediment-based surrogates as well. Despite these limitations, there is much room for improvement when it comes to using surrogates in habitat mapping. Multiple visualizations generated from merged digital sediment datasets with flexible querying protocols are especially promising.

All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy Top | Authors 
[Back]