IMIS - Marine Onderzoeksgroepen | Compendium Kust en Zee

IMIS - Marine Onderzoeksgroepen

[ meld een fout in dit record ]mandje (0): toevoegen | toon Print deze pagina

Ecological models to infer the quantitative relationship between land use and the aquatic macroinvertebrate community
Damanik-Ambarita, M.N.; Everaert, G.; Goethals, P. (2018). Ecological models to infer the quantitative relationship between land use and the aquatic macroinvertebrate community. Water 10(2): 184. https://dx.doi.org/10.3390/w10020184
In: Water. MDPI: Basel. e-ISSN 2073-4441, meer
Peer reviewed article  

Beschikbaar in  Auteurs 

Author keywords
    ecological water quality; macroinvertebrates; land use; models

Auteurs  Top 
  • Damanik-Ambarita, M.N., meer
  • Everaert, G., meer
  • Goethals, P., meer

Abstract
    Land-use changes influence the ecological water quality. In spite of this knowledge, land-use information is often missing in ecological water quality studies. Therefore, in the present research, we selected 39 peer-reviewed model-based scientific papers that study the relationship between land use and aquatic macroinvertebrates. From the selected papers, we found that certain water bodies responded more to local land use, while other water bodies were more likely to be affected by catchment land use. Hence, combined land-use information from both the local scale and the catchment scale will provide a better understanding of the impact of land-use changes on the ecological water quality. To gain this knowledge, efforts need to be taken to acquire land-use information from field observations and remote sensing or a geographic information system (GIS) data source. Furthermore, we concluded on the benefits of using models to better understand the relationship between the ecological water quality and environmental variables. Depending on the aim of the study and the nature of the data, researchers can select the most suitable model to ensure fast analysis.

Alle informatie in het Integrated Marine Information System (IMIS) valt onder het VLIZ Privacy beleid Top | Auteurs