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  • 1
    Online Resource
    Online Resource
    Entwicklung eines integrierten Modells zur Prognose der langfristigen Entwicklung abiotischer Rahmenbedingungen und Lebensgemeinschaften für Gewässermanagement und Klimafolgenforschung : Schlussbericht ; Laufzeit und Berichtszeitraum: 01.09.2010 - 31.10.2013 (2014)
    Kiel : CAU, Christian-Albrechts-Univ. zu Kiel, Inst. für Natur- und Ressourcenschutz
    Details Availability
    Keywords: Forschungsbericht ; Fließgewässer ; Klimaänderung ; Landnutzung
    Type of Medium: Online Resource
    Pages: Online-Ressource (PDF-Datei: 68 S., 12,9 MB) , Ill., graph. Darst., Kt.
    URL: https://edocs.tib.eu/files/e01fb15/82046662X.pdf
    URL: https://doi.org/10.2314/GBV:82046662X
    DOI: 10.2314/GBV:82046662X
    Language: German
    Note: Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden , Förderkennzeichen BMBF 02WM1136. - Verbund-Nr. 01076600. - Engl. Berichtsbl. u.d.T.: Developing an integrated model to predict abiotic habitat conditions and biota of rivers for application in climate change research , Systemvoraussetzungen: Acrobat reader. , Zsfassungen in dt. u. engl. Sprache
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  • 2
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    A guideline for spatio‐temporal consistency in water quality modelling in rural areas (2022)
    John Wiley & Sons, Inc. | Hoboken, USA
    Details
    Publication Date: 2023-01-30
    Description: To summarize, we suggest a guideline for water quality modelling: 1. Spatial and temporal patterns of land use and land management are critical to adequately represent water quality in models. Remote sensing and land use models are very useful resources to be exploited. 2. The transfer of a model diagnostic analysis to water quality leads to a better understanding of how water quality variables are controlled by model structures and corresponding model parameters. 3. Assessing multiple model outputs regarding their temporal, spa- tial and process performance using observed time series, remotely sensed spatial patterns, knowledge about transport pathways and even soft data can significantly enhance model consistency. 4. Multi-metric calibration using performance metrics and signa- ture measures both for discharge and water quality, such as FDC and NDC, leads to more balanced model simulations that represent all magnitudes of discharge and water quality accurately. 5. Scenarios and storylines should be co-developed with stake- holders in the river basin to make them more realistic and increase the acceptance of model results. They should be realistic in space and time, and provide a mix of available management options. 6. The interpretation of BMPs can be supported by diagnostic tools to show the effectiveness of measures and their combinations while considering their costs and impacts on ecosystem services.
    Keywords: ddc:628.1 ; rural areas ; water quality modelling
    Language: English
    Type: doc-type:article
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  • 3
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    Effects of land-use pattern and physiochemical conditions on phytoplankton communities in a German lowland catchment (2018)
    Schweizerbart
    In:  Fundamental and Applied Limnology : Archiv für Hydrobiologie, 191 (3). pp. 175-187.
    Details
    Publication Date: 2021-02-08
    Description: To understand the lowland riverine phytoplankton community (of species and functional groups), and to investigate the effects of abiotic factors on phytoplankton variance during the high-flow season, 59 sites of the Treene catchment, northern Germany, were visited in December 2014, where 327 species belonging to six taxonomic groups and 21 phytoplankton functional groups were observed. Bacillariophyta, especially benthic pennales (corresponding to the functional group TB), were dominant in most of the study area. Cyanobacteria (specifically indicated by the functional groups M and S1), which are typically found in lake environments, were also found in the main stream of the River Treene. Furthermore, Euglenophyta (represented by the functional groups W1 and W2) showed a higher percentage in the headwaters. A redundancy analysis indicates that the land-use pattern and physiochemical condition co-contributed to the phytoplankton community variance. The total explained variance (68.4 %) of phytoplankton data was partitioned into three parts: purely physiochemical factors contributed to 24.1 % of the explanation, followed by land-use characteristics (15.6 %), and their shared effects (28.7 %). The functional groups W1 and W2 exhibited a strong positive correlation to the percentage of agricultural land use. The percentages of urban land use and phosphate concentration in the stream were interrelated with the functional groups Lo and M, which indicates mesotrophic to eutrophic water conditions. The unexplained variance (31.6 %) may result from hydrological regimes, which will be taken into account in subsequent studies.
    Type: Article , PeerReviewed
    Format: text
    DOI: 10.1127/fal/2018/1125
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  • 4
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    Hydrological and environmental variables outperform spatial factors in structuring species, trait composition, and beta diversity of pelagic algae (2018)
    Wiley
    In:  Ecology and Evolution, 8 (5). pp. 2947-2961.
    Details
    Publication Date: 2021-02-08
    Description: There has been increasing interest in algae-based bioassessment, particularly, trait-based approaches are increasingly suggested. However, the main drivers, especially the contribution of hydrological variables, of species composition, trait composition, and beta diversity of algae communities are less studied. To link species and trait composition to multiple factors (i.e., hydrological variables, local environmental variables, and spatial factors) that potentially control species occurrence/abundance and to determine their relative roles in shaping species composition, trait composition, and beta diversities of pelagic algae communities, samples were collected from a German lowland catchment, where a well-proven ecohydrological modeling enabled to predict long-term discharges at each sampling site. Both trait and species composition showed significant correlations with hydrological, environmental, and spatial variables, and variation partitioning revealed that the hydrological and local environmental variables outperformed spatial variables. A higher variation of trait composition (57.0%) than species composition (37.5%) could be explained by abiotic factors. Mantel tests showed that both species and trait-based beta diversities were mostly related to hydrological and environmental heterogeneity with hydrological contributing more than environmental variables, while purely spatial impact was less important. Our findings revealed the relative importance of hydrological variables in shaping pelagic algae community and their spatial patterns of beta diversities, emphasizing the need to include hydrological variables in long-term biomonitoring campaigns and biodiversity conservation or restoration. A key implication for biodiversity conservation was that maintaining the instream flow regime and keeping various habitats among rivers are of vital importance. However, further investigations at multispatial and temporal scales are greatly needed.
    Type: Article , PeerReviewed
    Format: text
    DOI: 10.1002/ece3.3903
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  • 5
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    Riverine phytoplankton functional groups response to multiple stressors variously depending on hydrological periods (2019)
    Elsevier
    Details
    Publication Date: 2022-08-09
    Description: Rivers and related freshwater ecosystems are facing increasing natural disturbance and anthropogenic stressors. Understanding the key ecological processes that govern the riverine biota in aquatic ecosystems under multiple pressures has crucial importance. However, there is still insufficient knowledge in quantifying of stressors interactions. Moreover, the understanding of the responses of riverine phytoplankton to multiple stressors is still scarce from catchment aspect. As an interdisciplinary study, the catchment hydrological processes were linked to ecological responses in this study, and we chose phytoplankton functional groups (PFGs) instead of taxonomic classifications of algae to examine their responses to land-use pattern (L), hydrological regime (H), and physicochemical condition (P) across two contrasting hydrological periods (dry, wet). The traits-based phytoplankton functional groups are highly suggested as robust bio-indicators for better understanding the current ecological status. The hydrological regime was described by a matrix indices of hydrological alteration based on the outputs of a well-established ecohydrological model (SWAT). The results from variation partitioning analysis showed that P and H dominate during the dry period and P in high flows. Structural equation models (SEM) showed that the skewness of 7 days discharge emerged as a key driver of H, and had always an indirect effect on functional group TB (benthic diatoms) during both hydrological periods. The functional group M (mainly composed by Microcystis) has directly related to phosphorous in both periods, while indirectly to L of urban area in high flow period, and water bodies in low flow period. This study emphasized that climate change and anthropogenic activities such as altering flow regime and land-use pattern affect directly or indirectly riverine phytoplankton via physicochemical conditions. In addition, our findings highlighted that biomonitoring activities require detailed investigation in different hydrological periods. SEM is recommended for improved understanding of phytoplankton responses to the changing environment, and for future studies to fulfill the increasing demand for sustainable watershed management regarding aquatic biota.
    Type: Article , PeerReviewed
    Format: text
    Format: text
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    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 6
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    When is a hydrological model sufficiently calibrated to depict flow preferences of riverine species? (2021)
    Details
    Publication Date: 2021-06-27
    Description: Riverine species have adapted to their environment, particularly to the hydrological regime. Hydrological models and the knowledge of species preferences are used to predict the impact of hydrological changes on species. Inevitably, hydrological model performance impacts how species are simulated. From the example of macroinvertebrates in a lowland and a mountainous catchment, we investigate the impact of hydrological model performance and the choice of the objective function based on a set of 36 performance metrics for predicting species occurrences. Besides species abundance, we use the simulated community structure for an ecological assessment as applied for the Water Framework Directive. We investigate when a hydrological model is sufficiently calibrated to depict species abundance. For this, we postulate that performance is not sufficient when ecological assessments based on the simulated hydrology are significantly different (analysis of variance, p 〈 .05) from the ecological assessments based on observations. The investigated range of hydrological model performance leads to considerable variability in species abundance in the two catchments. In the mountainous catchment, links between objective functions and the ecological assessment reveal a stronger dependency of the species on the discharge regime. In the lowland catchment, multiple stressors seem to mask the dependence of the species on discharge. The most suitable objective functions to calibrate the model for species assessments are the ones that incorporate hydrological indicators used for the species prediction.
    Description: Bundesministerium für Bildung und Forschung http://dx.doi.org/10.13039/501100002347
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Description: Horizon 2020 Framework Programme http://dx.doi.org/10.13039/100010661
    Keywords: 551.48 ; ecological assessment ; hydrological modelling ; model optimization ; species abundance ; species preferences
    Type: article
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