Comprehensive (scale-spreading) analysis of the influencing factors and their effect on the fish fauna in the inner-alpine area (Q4295421): Difference between revisions
Jump to navigation
Jump to search
(Changed label, description and/or aliases in en: Setting new description) |
(Changed an Item: Edited by the materialized bot - inferring region from the coordinates) |
||
Property / contained in NUTS | |||
Property / contained in NUTS: autonomous Province of Bolzano / rank | |||
Normal rank |
Revision as of 09:55, 13 June 2022
Project Q4295421 in Austria, Italy
Language | Label | Description | Also known as |
---|---|---|---|
English | Comprehensive (scale-spreading) analysis of the influencing factors and their effect on the fish fauna in the inner-alpine area |
Project Q4295421 in Austria, Italy |
Statements
549,826.85 Euro
0 references
767,013.08 Euro
0 references
71.68 percent
0 references
1 February 2017
0 references
29 February 2020
0 references
Accademia Europea Bolzano
0 references
River ecosystems are strongly influenced by landform and human activities within the surrounding valley at multiple scales. Most rivers are contaminated by a combination of different interventions, leading to a dramatic change in the aquatic habitat and the organism community. Fish are an established biological indicator in the European Union. Through information about species assemblage, abundance, dominance and population structure it is possible to make reliable predictions about the whole river ecosystem. The dramatic change within the fish fauna in Tyrol and South Tyrol become evident through the local decline of populations, the threat of fish stocks and the disappearance of species. An additional threat is the loss of the genetic integrity due to stocking activities with non native species. This, too, can lead to the loss of autochthonous species. In contrast to most of the previous research where only individual originators were examined, in this project we will determine the influence of (as far as possible) all influence factors and make them visible through geostatistic and multiscale models. We plan on incorporating the gained findings into river management plans, which can be used to influence future decisions on environmental protection. (English)
0 references