| Title: | Hydrological and environmental variables outperform spatial factors in structuring species, trait composition, and beta diversity of pelagic algae |
| Authors: | Wu, N., Y. Qu, B. Guse, K. Makarevičiūtė, S. To, T. Riis and N. Fohrer |
| Year: | 2018 |
| Journal: | Ecology and Evolution |
| Volume (Issue): | |
| Pages: | |
| Article ID: | |
| DOI: | 10.1002/ece3.3903 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | hydrologic only |
| Primary Application Category: | model and/or data interface |
| Secondary Application Category: | hydrologic, pollutant and/or crop indices (or metrics) |
| Watershed Description: | 481 km^2 Treene River, located in the lowland region of far northern Germany. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Language: | English |
| Keywords: | beta diversity, ecohydrological modeling, functional traits, lowland river, multiple stressors, pelagic algae, species composition |