University of Duisburg-Essen press release.
Research published in Journal of Applied Ecology details a new method for diagnosing the biological symptoms of “diseased” rivers.
Lack of shade? Too many nutrients from adjacent fields? Modified banks? If a river or stream is not doing well, there are many possible causes, but they are sometimes difficult to detect. Scientists from the University of Duisburg-Essen (UDE) have now developed a method that evaluates biological symptoms of rivers and calculates probable causes.
“Our tool works similar to a visit to the doctor, where they ask us ‘What’s wrong?'”, explains PD Dr. Christian Feld from Aquatic Ecology. But instead of the human body the biologists look at the biological symptoms of a body of water that can be “diseased”, such as the composition of aquatic insects, crayfish and mussels. For each species has different requirements regarding its habitat. Therefore, potential causes of deterioration such as temperature, oxygen depletion, flow alteration or poor habitat availability can be derived from the biological diversity.
Taking animal samples from streams and rivers and thereby evaluating the water quality is required by EU law and has hence been a standard practice in river management for nearly 20 years. But what to do if ecological quality targets are missed? Appropriate management options are often difficult to extract from the data.
The team led by Christian Feld now provides experts with a tool that offers decision support as to the main causes of deterioration: Once the biological symptoms of a river stretch are entered into the online mask, the program calculates the probability of potential causes such as the lack of shade or nutrient enrichment, and puts them into a hierarchical order. The tool also explains the background and gives tips on how to proceed.
“On this basis, ecosystem managers can make more informed decisions,” Feld explains.
You can access the article here:
Feld, CK, Saeedghalati, M, Hering, D. A framework to diagnose the causes of river ecosystem deterioration using biological symptoms. J Appl Ecol. 2020; 00: 1– 14. https://doi.org/10.1111/1365-2664.13733