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Zhao J, Zhang N, Liu Z, Zhang Q, Shang C. SWAT model applications: From hydrological processes to ecosystem services. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 931:172605. [PMID: 38663632 DOI: 10.1016/j.scitotenv.2024.172605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 04/11/2024] [Accepted: 04/17/2024] [Indexed: 05/09/2024]
Abstract
Ecosystem services in bolstering human well-being and steering environmental management garnered increasing recognition. In this realm, the Soil and Water Assessment Tool (SWAT) rose as an instrumental tool in ecosystem services. The heterogeneous applications of SWAT across diverse studies underscore an imperative for bibliometric analysis to decipher these evolving trends. This study endeavors to execute a comprehensive analysis of SWAT's application for ecosystem services, delineating key thematic development and exploring its utilization in ecosystem services. We conducted a comprehensive literature review by searching the Web of Science database, retrieving a total of 534 articles. The CiteSpace facilitated our co-citation analysis, enabling the identification of seminal publications and burgeoning themes within SWAT. Our analysis delineated thematic development in SWAT pertaining to ecosystem services. Initially concentrated on hydrological processes, the focus progressively broadened to encompass comprehensive ecosystem services evaluations. We examined 81 peer-reviewed publications directly related to ecosystem services, and most of them addressed certain ecosystem services, such as water yield, soil retention, regulation of water flow, food, and carbon storage. SWAT holds a unique advantage in quantifying water-related processes. Future studies should focus more on ecosystem service flows based on SWAT, which contributes to elucidating the relationship between nature and humans, facilitating comprehensive ecosystem management.
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Affiliation(s)
- Jie Zhao
- Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau, School of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China
| | - Ning Zhang
- Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau, School of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China
| | - Zhuochen Liu
- Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau, School of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China
| | - Qing Zhang
- Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau, School of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China; Collaborative Innovation Center for Grassland Ecological Security (Jointly Supported by the Ministry of Education of China and Inner Mongolia Autonomous Region), Hohhot 010021, China
| | - Chengwei Shang
- Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau, School of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China; Collaborative Innovation Center for Grassland Ecological Security (Jointly Supported by the Ministry of Education of China and Inner Mongolia Autonomous Region), Hohhot 010021, China.
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Integrated Ecohydrological Models in Aquatic Ecosystems. WATER 2022. [DOI: 10.3390/w14020204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
As a critical component of the global environment, aquatic ecosystems support a wide range of organisms, including bacteria, fungi, algae, invertebrates, plants, and fish [...]
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Baldan D, Kiesel J, Hauer C, Jähnig SC, Hein T. Increased sediment deposition triggered by climate change impacts freshwater pearl mussel habitats and metapopulations. J Appl Ecol 2021. [DOI: 10.1111/1365-2664.13940] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Affiliation(s)
- Damiano Baldan
- Institute of Hydrobiology and Aquatic Ecosystem Management University of Natural Resources and Life Sciences (BOKU) Vienna Austria
- Wassercluster Lunz ‐ Biologische StationLunz am See Austria
| | - Jens Kiesel
- Department of Ecosystem Research Leibniz Institute of Freshwater Ecology and Inland Fisheries Berlin Germany
- Institute for Natural Resource Conservation Department of Hydrology and Water Resources Management Christian‐Albrechts‐University Kiel Kiel Germany
| | - Christoph Hauer
- Christian Doppler Laboratory for Sediment Research and Management Institute of Hydraulic Engineering and River Research University of Natural Resources and Life Sciences (BOKU) Vienna Austria
| | - Sonja C. Jähnig
- Department of Ecosystem Research Leibniz Institute of Freshwater Ecology and Inland Fisheries Berlin Germany
- Geography Department Humboldt‐Universität zu Berlin Berlin Germany
| | - Thomas Hein
- Institute of Hydrobiology and Aquatic Ecosystem Management University of Natural Resources and Life Sciences (BOKU) Vienna Austria
- Wassercluster Lunz ‐ Biologische StationLunz am See Austria
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Zeiger SJ, Hubbart JA. Measuring and modeling event-based environmental flows: An assessment of HEC-RAS 2D rain-on-grid simulations. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2021; 285:112125. [PMID: 33601266 DOI: 10.1016/j.jenvman.2021.112125] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 01/04/2021] [Accepted: 02/03/2021] [Indexed: 06/12/2023]
Abstract
There is an immediate need to use available modeling tools to quantify environmental flows targets where changing climate and human activity has altered hydroecologically important streamflow regimes. A model performance assessment was undertaken using observed data collected from five nested gauging sites in a mixed land use watershed of the central US. An integrated modeling approach was used to couple The Soil and Water Assessment Tool (SWAT version 2012), and The Hydrologic Engineering Center's River Analysis System (HEC-RAS version 5.0.7). SWAT was used to generate effective rainfall needed to run HEC-RAS rain-on-grid two-dimensional hydrodynamic simulations. Model calibration results showed the potential usefulness of coupling SWAT and HEC-RAS using an integrated modeling approach. For example, PBIAS of 8.3%, NSE value of 0.84, and coefficient of determination (R2) value of 0.80 at a highly urbanized monitoring site used for model calibration. Split-site validation results showed PBIAS values that ranged from 10.4 to 33.8%, NSE values that ranged from 0.33 to 0.92, and R2 values that ranged from 0.86 to 0.97. Results showed that 2D rain-on-grid HEC-RAS simulations can produce realistic simulations of stage hydrograph response when: (1) areal effective precipitation is used for 2D HEC-RAS rain-on-grid forcing's, (2) HEC-RAS is calibrated to observed data during the event of interest, (3) there are not substantial sources of backwatering from outside the models geometric data, and (4) during saturated antecedent soil moisture conditions surface DEM's adequately describe overland flow paths. This model performance assessment is among the first, if not the first, to show calibration and validation results associated with 2D HEC-RAS rain-on-grid simulations at a watershed scale. Results highlight the need for time-varying roughness coefficients to account for soil moisture conditions, and point to the efficacy of using a SWAT/HEC-RAS integrated modeling approach to generate event-based environmental flows information.
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Affiliation(s)
- Sean J Zeiger
- Lincoln University, Department of Agriculture and Environmental Sciences, 308 Foster Hall, 904 Chestnut Street, Jefferson City, MO, 65101, USA.
| | - Jason A Hubbart
- Institute of Water Security and Science, West Virginia University, 4121 Agricultural Sciences Building, Morgantown, 26506, WV, USA; Davis College, Schools of Agriculture and Food, And Natural Resources, West Virginia University, 4121 Agricultural Sciences Building, Morgantown, 26506, WV, USA.
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Abstract
Worldwide river systems are under pressure from human development. River managers need to identify the most important stressors in a stream basin, to propose effective management interventions for river restoration. In the European Union, the Water Framework Directive proposes the ecological status as the management endpoint for these interventions. Many decision support tools exist that use predictive water quality models to evaluate different river management scenarios, but only a few consider a river’s ecological status in this analysis explicitly. This paper presents a novel method, which combines abiotic monitoring data and biological monitoring data, to provide information and insight on why the ecological status does not reach the good status. We use habitat suitability models as a decision support tool, which can identify the most important stressors in river systems to define management scenarios. To this end, we disassemble the ecological status into its individual building blocks, i.e., the community composition, and we use habitat suitability models to perform an ecological gap analysis. In this paper, we present our method and its underlying ecological concepts, and we illustrate its benefits by applying the method on a regional level for Flanders using a biotic index, the Multimetric Macroinvertebrate Index Flanders (MMIF). To evaluate our method, we calculated the number of correctly classified instances (CCI = 47.7%) and the root-mean-square error (RMSE = 0.18) on the MMIF class and the MMIF value. Furthermore, there is a monotonic decreasing relationship between the results of the priority classification and the ecological status expressed by the MMIF, which is strengthened by the inclusion of ecological concepts in our method (Pearson’s R2 −0.92 vs. −0.87). In addition, the results of our method are complementary to information derived from the legal targets set for abiotic variables. Thus, our proposed method can further optimize the inclusion of monitoring data for the sake of sustainable decisions in river management.
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Marcinkowski P, Mirosław-Świątek D. Modelling of climate change impact on flow conditions in the lowland anastomosing river. PeerJ 2020; 8:e9275. [PMID: 32612881 PMCID: PMC7319031 DOI: 10.7717/peerj.9275] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Accepted: 05/11/2020] [Indexed: 11/21/2022] Open
Abstract
The progressive degradation of freshwater ecosystems worldwide requires action to be taken for their conservation. Nowadays, protection strategies need to step beyond the traditional approach of managing protected areas as they have to deal with the protection or recovery of natural flow regimes disrupted by the effects of future climate conditions. Climate change affects the hydrosphere at catchment scale altering hydrological processes which in turn impact hydrodynamics at the river reach scale. Therefore, conservation strategies should consider mathematical models, which allow for an improved understanding of ecosystem functions and their interactions across different spatial and temporal scales. This study focuses on an anastomosing river system in north-eastern Poland, where in recent decades a significant loss of the anabranches has been observed. The objective was to assess the impact of projected climate change on average flow conditions in the anastomosing section of the Narew River. The Soil and Water Assessment Tool (SWAT software) for the Narew catchment was coupled with the HEC-RAS one-dimensional unsteady flow model. The study looked into projected changes for two future time horizons 2021–2050 and 2071–2100 under the Representative Concentration Pathway 4.5 using an ensemble of nine EURO-CORDEX model scenarios. Results show that low flow conditions in the anastomosing section of the Narew National Park will remain relatively stable in 2021–2050 compared to current conditions and will slightly increase in 2071–2100. Duration of low flows, although projected to decrease on an annual basis, will increase for August–October, when the loss on anastomoses was found to be the most intense. Hydraulic modeling indicated extremely low flow velocities in the anastomosing arm (<0.1 m/s) nowadays and under future projections which is preferable for in-stream vegetation development and their gradual sedimentation and closure.
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Affiliation(s)
- Paweł Marcinkowski
- Department of Hydrology, Meteorology and Water Management, Warsaw University of Life Sciences-SGGW, Warsaw, Poland
| | - Dorota Mirosław-Świątek
- Department of Hydrology, Meteorology and Water Management, Warsaw University of Life Sciences-SGGW, Warsaw, Poland
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Baldan D, Piniewski M, Funk A, Gumpinger C, Flödl P, Höfer S, Hauer C, Hein T. A multi-scale, integrative modeling framework for setting conservation priorities at the catchment scale for the Freshwater Pearl Mussel Margaritifera margaritifera. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 718:137369. [PMID: 32109815 DOI: 10.1016/j.scitotenv.2020.137369] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 02/11/2020] [Accepted: 02/15/2020] [Indexed: 06/10/2023]
Abstract
The identification and prioritization of sites for conservation actions to protect biodiversity in lotic systems is crucial when economic resources or available areas are limited. Challenges include the incorporation of multi-scale interactions, and the application of species distribution models (SDMs) to rare organism with multiple life stages. To support the planning of conservation actions for the highly endangered Freshwater Pearl Mussel Margaritifera margaritifera (FPM), this paper aims at developing an ecohydrological modeling cascade including a hydrological model (SWAT) and a hydraulic model (HEC-RAS). Building on hydrology and hydraulics, Random Forest models for potential risk to juveniles due to sand accumulation, SDMs for adults habitat niche, and a landscape connectivity assessment of dispersal potential were developed. The feasibility of such models integration was tested in the Aist catchment (630 km2) in Austria. The potential FPM habitat and the sand accumulation risk for the whole catchment were predicted with good accuracy. Results show that while the potentially suitable habitats for adults FPM cover 34% of the river network, only few habitat patches can maximize the dispersal potential (4% of the river network) and even less are showing limited impact of accumulations (3.5% of river network). No habitat patch that meets all the three criteria is available, suggesting approaches that target the patch-specific critical life stage-factors are promising for conservation.
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Affiliation(s)
- Damiano Baldan
- University of Natural Resources and Life Sciences, Vienna, Institute of Hydrobiology and Aquatic Ecosystem Management, Gregor Mendel Straße 33, 1180 Vienna, Austria; WasserClusterLunz - Biologische Station GmbH, Dr. Carl Kupelwieser Promenade 5, 3293 Lunz am See, Austria.
| | - Mikolaj Piniewski
- Institute of Environmental Engineering, Warsaw University of Life Sciences, 02-787 Warsaw, Poland
| | - Andrea Funk
- University of Natural Resources and Life Sciences, Vienna, Institute of Hydrobiology and Aquatic Ecosystem Management, Gregor Mendel Straße 33, 1180 Vienna, Austria; WasserClusterLunz - Biologische Station GmbH, Dr. Carl Kupelwieser Promenade 5, 3293 Lunz am See, Austria
| | - Clemens Gumpinger
- Consultants in Aquatic Ecology and Engineering, Blattfisch e.U., Gabelsbergerstraße 7, 4600 Wels, Austria
| | - Peter Flödl
- Christian Doppler Laboratory for Sediment Research and Management, University of Natural Resources and Life Sciences, Vienna, Institute of Hydraulic Engineering and River Research, Muthgasse 107, 1190 Vienna, Austria
| | - Sarah Höfer
- Consultants in Aquatic Ecology and Engineering, Blattfisch e.U., Gabelsbergerstraße 7, 4600 Wels, Austria; Christian Doppler Laboratory for Sediment Research and Management, University of Natural Resources and Life Sciences, Vienna, Institute of Hydraulic Engineering and River Research, Muthgasse 107, 1190 Vienna, Austria
| | - Christoph Hauer
- Christian Doppler Laboratory for Sediment Research and Management, University of Natural Resources and Life Sciences, Vienna, Institute of Hydraulic Engineering and River Research, Muthgasse 107, 1190 Vienna, Austria
| | - Thomas Hein
- University of Natural Resources and Life Sciences, Vienna, Institute of Hydrobiology and Aquatic Ecosystem Management, Gregor Mendel Straße 33, 1180 Vienna, Austria; WasserClusterLunz - Biologische Station GmbH, Dr. Carl Kupelwieser Promenade 5, 3293 Lunz am See, Austria.
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Irving K, Kuemmerlen M, Kiesel J, Kakouei K, Domisch S, Jähnig SC. A high-resolution streamflow and hydrological metrics dataset for ecological modeling using a regression model. Sci Data 2018; 5:180224. [PMID: 30398476 PMCID: PMC6219418 DOI: 10.1038/sdata.2018.224] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2017] [Accepted: 08/30/2018] [Indexed: 11/09/2022] Open
Abstract
Hydrological variables are among the most influential when analyzing or modeling stream ecosystems. However, available hydrological data are often limited in their spatiotemporal scale and resolution for use in ecological applications such as predictive modeling of species distributions. To overcome this limitation, a regression model was applied to a 1 km gridded stream network of Germany to obtain estimated daily stream flow data (m3 s-1) spanning 64 years (1950-2013). The data are used as input to calculate hydrological indices characterizing stream flow regimes. Both temporal and spatial validations were performed. In addition, GLMs using both the calculated and observed hydrological indices were compared, suggesting that the predicted flow data are adequate for use in predictive ecological models. Accordingly, we provide estimated stream flow as well as a set of 53 hydrological metrics at 1 km grid for the stream network of Germany. In addition, we provide an R script where the presented methodology is implemented, that uses globally available data and can be directly applied to any other geographical region.
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Affiliation(s)
- Katie Irving
- Department of Ecosystem Research, Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB), Müggelseedamm 310, 12587 Berlin, Germany.,Department of Biology, Chemistry and Pharmacy, Freie University Berlin, Takustraße 3, 14195 Berlin, Germany
| | - Mathias Kuemmerlen
- Department Systems Analysis, Integrated Assessment and Modeling, Eawag, Überlandstrasse 133, CH-8600 Dübendorf, Switzerland
| | - Jens Kiesel
- Department of Ecosystem Research, Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB), Müggelseedamm 310, 12587 Berlin, Germany.,Christian-Albrechts-University Kiel, Institute for Natural Resource Conservation, Department of Hydrology and Water Resources Management, Kiel, Germany
| | - Karan Kakouei
- Department of Ecosystem Research, Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB), Müggelseedamm 310, 12587 Berlin, Germany.,Department of Biology, Chemistry and Pharmacy, Freie University Berlin, Takustraße 3, 14195 Berlin, Germany
| | - Sami Domisch
- Department of Ecosystem Research, Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB), Müggelseedamm 310, 12587 Berlin, Germany
| | - Sonja C Jähnig
- Department of Ecosystem Research, Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB), Müggelseedamm 310, 12587 Berlin, Germany
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9
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Mustonen KR, Mykrä H, Marttila H, Sarremejane R, Veijalainen N, Sippel K, Muotka T, Hawkins CP. Thermal and hydrologic responses to climate change predict marked alterations in boreal stream invertebrate assemblages. GLOBAL CHANGE BIOLOGY 2018; 24:2434-2446. [PMID: 29341358 DOI: 10.1111/gcb.14053] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2017] [Accepted: 12/12/2017] [Indexed: 05/16/2023]
Abstract
Air temperature at the northernmost latitudes is predicted to increase steeply and precipitation to become more variable by the end of the 21st century, resulting in altered thermal and hydrological regimes. We applied five climate scenarios to predict the future (2070-2100) benthic macroinvertebrate assemblages at 239 near-pristine sites across Finland (ca. 1200 km latitudinal span). We used a multitaxon distribution model with air temperature and modeled daily flow as predictors. As expected, projected air temperature increased the most in northernmost Finland. Predicted taxonomic richness also increased the most in northern Finland, congruent with the predicted northwards shift of many species' distributions. Compositional changes were predicted to be high even without changes in richness, suggesting that species replacement may be the main mechanism causing climate-induced changes in macroinvertebrate assemblages. Northern streams were predicted to lose much of the seasonality of their flow regimes, causing potentially marked changes in stream benthic assemblages. Sites with the highest loss of seasonality were predicted to support future assemblages that deviate most in compositional similarity from the present-day assemblages. Macroinvertebrate assemblages were also predicted to change more in headwaters than in larger streams, as headwaters were particularly sensitive to changes in flow patterns. Our results emphasize the importance of focusing protection and mitigation on headwater streams with high-flow seasonality because of their vulnerability to climate change.
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Affiliation(s)
| | - Heikki Mykrä
- Finnish Environment Institute (SYKE), Freshwater Centre, Oulu, Finland
| | - Hannu Marttila
- Water Resources and Environmental Engineering Research Group, University of Oulu, Oulu, Finland
| | | | - Noora Veijalainen
- Finnish Environment Institute (SYKE), Freshwater Centre, Modelling and Assessment Unit, Helsinki, Finland
| | - Kalle Sippel
- Finnish Environment Institute (SYKE), Freshwater Centre, Modelling and Assessment Unit, Helsinki, Finland
| | - Timo Muotka
- Department of Ecology and Genetics, University of Oulu, Oulu, Finland
| | - Charles P Hawkins
- Department of Watershed Sciences, Western Center for Monitoring and Assessment of Freshwater Ecosystems, and the Ecology Center, Utah State University, Logan, UT, USA
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10
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Landscape and flow metrics affecting the distribution of a federally-threatened fish: Improving management, model fit, and model transferability. Ecol Modell 2016. [DOI: 10.1016/j.ecolmodel.2016.09.016] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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11
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Charbonnel A, Laffaille P, Biffi M, Blanc F, Maire A, Némoz M, Sanchez-Perez JM, Sauvage S, Buisson L. Can Recent Global Changes Explain the Dramatic Range Contraction of an Endangered Semi-Aquatic Mammal Species in the French Pyrenees? PLoS One 2016; 11:e0159941. [PMID: 27467269 PMCID: PMC4965056 DOI: 10.1371/journal.pone.0159941] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2016] [Accepted: 07/11/2016] [Indexed: 11/28/2022] Open
Abstract
Species distribution models (SDMs) are the main tool to predict global change impacts on species ranges. Climate change alone is frequently considered, but in freshwater ecosystems, hydrology is a key driver of the ecology of aquatic species. At large scale, hydrology is however rarely accounted for, owing to the lack of detailed stream flow data. In this study, we developed an integrated modelling approach to simulate stream flow using the hydrological Soil and Water Assessment Tool (SWAT). Simulated stream flow was subsequently included as an input variable in SDMs along with topographic, hydrographic, climatic and land-cover descriptors. SDMs were applied to two temporally-distinct surveys of the distribution of the endangered Pyrenean desman (Galemys pyrenaicus) in the French Pyrenees: a historical one conducted from 1985 to 1992 and a current one carried out between 2011 and 2013. The model calibrated on historical data was also forecasted onto the current period to assess its ability to describe the distributional change of the Pyrenean desman that has been modelled in the recent years. First, we found that hydrological and climatic variables were the ones influencing the most the distribution of this species for both periods, emphasizing the importance of taking into account hydrology when SDMs are applied to aquatic species. Secondly, our results highlighted a strong range contraction of the Pyrenean desman in the French Pyrenees over the last 25 years. Given that this range contraction was under-estimated when the historical model was forecasted onto current conditions, this finding suggests that other drivers may be interacting with climate, hydrology and land-use changes. Our results imply major concerns for the conservation of this endemic semi-aquatic mammal since changes in climate and hydrology are expected to become more intense in the future.
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Affiliation(s)
- Anaïs Charbonnel
- Conservatoire d’Espaces Naturels Midi-Pyrénées, Toulouse, France
- CNRS, UMR 5245, EcoLab (Laboratoire Ecologie Fonctionnelle et Environnement), Toulouse, France
- Université de Toulouse, INP, UPS, EcoLab (Laboratoire Ecologie Fonctionnelle et Environnement), Université Paul Sabatier, Toulouse, France
- * E-mail: (AC); (LB)
| | - Pascal Laffaille
- CNRS, UMR 5245, EcoLab (Laboratoire Ecologie Fonctionnelle et Environnement), Toulouse, France
- Université de Toulouse, INP, UPS, EcoLab (Laboratoire Ecologie Fonctionnelle et Environnement), ENSAT, Castanet-Tolosan, France
| | - Marjorie Biffi
- CNRS, UMR 5245, EcoLab (Laboratoire Ecologie Fonctionnelle et Environnement), Toulouse, France
- Université de Toulouse, INP, UPS, EcoLab (Laboratoire Ecologie Fonctionnelle et Environnement), Université Paul Sabatier, Toulouse, France
| | - Frédéric Blanc
- Conservatoire d’Espaces Naturels Midi-Pyrénées, Toulouse, France
| | - Anthony Maire
- CNRS, UMR 5245, EcoLab (Laboratoire Ecologie Fonctionnelle et Environnement), Toulouse, France
- Université de Toulouse, INP, UPS, EcoLab (Laboratoire Ecologie Fonctionnelle et Environnement), Université Paul Sabatier, Toulouse, France
| | - Mélanie Némoz
- Conservatoire d’Espaces Naturels Midi-Pyrénées, Toulouse, France
| | - José Miguel Sanchez-Perez
- CNRS, UMR 5245, EcoLab (Laboratoire Ecologie Fonctionnelle et Environnement), Toulouse, France
- Université de Toulouse, INP, UPS, EcoLab (Laboratoire Ecologie Fonctionnelle et Environnement), ENSAT, Castanet-Tolosan, France
| | - Sabine Sauvage
- CNRS, UMR 5245, EcoLab (Laboratoire Ecologie Fonctionnelle et Environnement), Toulouse, France
- Université de Toulouse, INP, UPS, EcoLab (Laboratoire Ecologie Fonctionnelle et Environnement), ENSAT, Castanet-Tolosan, France
| | - Laëtitia Buisson
- CNRS, UMR 5245, EcoLab (Laboratoire Ecologie Fonctionnelle et Environnement), Toulouse, France
- Université de Toulouse, INP, UPS, EcoLab (Laboratoire Ecologie Fonctionnelle et Environnement), Université Paul Sabatier, Toulouse, France
- * E-mail: (AC); (LB)
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Pletterbauer F, Graf W, Schmutz S. Effect of biotic dependencies in species distribution models: The future distribution of Thymallus thymallus under consideration of Allogamus auricollis. Ecol Modell 2016. [DOI: 10.1016/j.ecolmodel.2016.01.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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13
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Bennetsen E, Gobeyn S, Goethals PL. Species distribution models grounded in ecological theory for decision support in river management. Ecol Modell 2016. [DOI: 10.1016/j.ecolmodel.2015.12.016] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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14
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Stefanidis K, Panagopoulos Y, Mimikou M. Impact assessment of agricultural driven stressors on benthic macroinvertebrates using simulated data. THE SCIENCE OF THE TOTAL ENVIRONMENT 2016; 540:32-42. [PMID: 26311349 DOI: 10.1016/j.scitotenv.2015.08.015] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2015] [Revised: 08/04/2015] [Accepted: 08/04/2015] [Indexed: 06/04/2023]
Abstract
Agricultural land use poses a significant threat to the ecological integrity of rivers in Europe. Particularly in the Mediterranean, water abstraction and nutrient application are anthropogenic pressures that have a significant impact on aquatic habitats and biodiversity. In this article, we assessed the effects of agricultural management practices on benthic macroinvertebrates in a large river basin of central Greece using simulated data based on the application of SWAT (Soil Water Assessment Tool) model. Physicochemical and hydrological output variables of the model were used as predictors of the ASPT (Average Score Per Taxon) metric based on a correlated component regression analysis (CCR) built on empirical data. The estimation of ASPT was performed for the wet and dry seasons within a 20-year period for a total of 47 subbasins under the baseline conditions and after implementing three management scenarios that reduced: a) irrigation water applied to crops by 30%, b) chemical fertilization applied to crops by 30% and c) both irrigation and fertilization by 30%. The results revealed that application of the reduced irrigation resulted to a slight increase of the simulated dissolved inorganic nitrogen concentration (DIN), which in turn decreased the mean ASPT in 21 of the 47 subbasins implying a negative effect on the macroinvertebrate communities. On the contrary, the reduction of fertilization as well as the combined scenario decreased both the simulated DIN and phosphate concentration causing an increase of the mean ASPT for a total of 40 of the 47 subbasins. Based on these results, we suggest that the best management option is a combined practice of deficit irrigation and fertilization reduction since it improved water quality, increased ASPT values and saved a considerable amount of water. Overall, this work demonstrates a simple methodology that can efficiently assess the effects of agricultural management practices on biotic indicators.
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Affiliation(s)
- K Stefanidis
- Laboratory of Hydrology and Water Resources Management, Department of Water Resources and Environmental Engineering, School of Civil Engineering, National Technical University of Athens (NTUA), 5, Iroon Politechniou Street, 15780 Zografou, Athens, Greece.
| | - Y Panagopoulos
- Laboratory of Hydrology and Water Resources Management, Department of Water Resources and Environmental Engineering, School of Civil Engineering, National Technical University of Athens (NTUA), 5, Iroon Politechniou Street, 15780 Zografou, Athens, Greece
| | - M Mimikou
- Laboratory of Hydrology and Water Resources Management, Department of Water Resources and Environmental Engineering, School of Civil Engineering, National Technical University of Athens (NTUA), 5, Iroon Politechniou Street, 15780 Zografou, Athens, Greece
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Schmalz B, Kuemmerlen M, Kiesel J, Cai Q, Jähnig SC, Fohrer N. Impacts of land use changes on hydrological components and macroinvertebrate distributions in the Poyang lake area. ECOHYDROLOGY 2015; 8:1119-1136. [DOI: 10.1002/eco.1569] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Affiliation(s)
- B. Schmalz
- Department of Hydrology and Water Resources ManagementInstitute for Natural Resource ConservationChristian‐Albrechts‐Universität zu Kiel Olshausenstr. 75 24118 Kiel Germany
| | - M. Kuemmerlen
- Biodiversity and Climate Research Centre (BiK‐F) Senckenberganlage 25 60325 Frankfurt am Main Germany
- Department of River Ecology and ConservationSenckenberg Research Institute and Natural History Museum Frankfurt Clamecystr. 12 63571 Gelnhausen Germany
| | - J. Kiesel
- Department of Hydrology and Water Resources ManagementInstitute for Natural Resource ConservationChristian‐Albrechts‐Universität zu Kiel Olshausenstr. 75 24118 Kiel Germany
| | - Q. Cai
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of HydrobiologyChinese Academy of Sciences 7 Donghu Nanlu Wuhan 430072 China
| | - S. C. Jähnig
- Biodiversity and Climate Research Centre (BiK‐F) Senckenberganlage 25 60325 Frankfurt am Main Germany
- Department of River Ecology and ConservationSenckenberg Research Institute and Natural History Museum Frankfurt Clamecystr. 12 63571 Gelnhausen Germany
- Department of Ecosystem ResearchLeibniz‐Institute of Freshwater Ecology and Inland Fisheries (IGB) Müggelseedamm 301 12587 Berlin Germany
| | - N. Fohrer
- Department of Hydrology and Water Resources ManagementInstitute for Natural Resource ConservationChristian‐Albrechts‐Universität zu Kiel Olshausenstr. 75 24118 Kiel Germany
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16
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Kuemmerlen M, Schmalz B, Cai Q, Haase P, Fohrer N, Jähnig SC. An attack on two fronts: predicting how changes in land use and climate affect the distribution of stream macroinvertebrates. FRESHWATER BIOLOGY 2015; 60:1443-1458. [DOI: 10.1111/fwb.12580] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Affiliation(s)
- Mathias Kuemmerlen
- Department of River Ecology and Conservation; Senckenberg Research Institute and Natural History Museum Frankfurt; Gelnhausen Germany
- Senckenberg Biodiversity and Climate Research Centre (BiK-F); Frankfurt am Main Germany
| | - Britta Schmalz
- Department of Hydrology and Water Resources Management; Christian-Albrechts-Universität zu Kiel; Kiel Germany
| | - Qinghua Cai
- State Key Laboratory of Freshwater Ecology and Biotechnology; Institute of Hydrobiology; Chinese Academy of Sciences; Wuhan China
| | - Peter Haase
- Department of River Ecology and Conservation; Senckenberg Research Institute and Natural History Museum Frankfurt; Gelnhausen Germany
- Senckenberg Biodiversity and Climate Research Centre (BiK-F); Frankfurt am Main Germany
| | - Nicola Fohrer
- Department of Hydrology and Water Resources Management; Christian-Albrechts-Universität zu Kiel; Kiel Germany
| | - Sonja C. Jähnig
- Department of River Ecology and Conservation; Senckenberg Research Institute and Natural History Museum Frankfurt; Gelnhausen Germany
- Senckenberg Biodiversity and Climate Research Centre (BiK-F); Frankfurt am Main Germany
- Department of Ecosystem Research; Leibniz-Institute of Freshwater Ecology and Inland Fisheries; Berlin Germany
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17
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Kail J, Guse B, Radinger J, Schröder M, Kiesel J, Kleinhans M, Schuurman F, Fohrer N, Hering D, Wolter C. A Modelling Framework to Assess the Effect of Pressures on River Abiotic Habitat Conditions and Biota. PLoS One 2015; 10:e0130228. [PMID: 26114430 PMCID: PMC4482704 DOI: 10.1371/journal.pone.0130228] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2014] [Accepted: 05/17/2015] [Indexed: 11/23/2022] Open
Abstract
River biota are affected by global reach-scale pressures, but most approaches for predicting biota of rivers focus on river reach or segment scale processes and habitats. Moreover, these approaches do not consider long-term morphological changes that affect habitat conditions. In this study, a modelling framework was further developed and tested to assess the effect of pressures at different spatial scales on reach-scale habitat conditions and biota. Ecohydrological and 1D hydrodynamic models were used to predict discharge and water quality at the catchment scale and the resulting water level at the downstream end of a study reach. Long-term reach morphology was modelled using empirical regime equations, meander migration and 2D morphodynamic models. The respective flow and substrate conditions in the study reach were predicted using a 2D hydrodynamic model, and the suitability of these habitats was assessed with novel habitat models. In addition, dispersal models for fish and macroinvertebrates were developed to assess the re-colonization potential and to finally compare habitat suitability and the availability / ability of species to colonize these habitats. Applicability was tested and model performance was assessed by comparing observed and predicted conditions in the lowland Treene River in northern Germany. Technically, it was possible to link the different models, but future applications would benefit from the development of open source software for all modelling steps to enable fully automated model runs. Future research needs concern the physical modelling of long-term morphodynamics, feedback of biota (e.g., macrophytes) on abiotic habitat conditions, species interactions, and empirical data on the hydraulic habitat suitability and dispersal abilities of macroinvertebrates. The modelling framework is flexible and allows for including additional models and investigating different research and management questions, e.g., in climate impact research as well as river restoration and management.
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Affiliation(s)
- Jochem Kail
- Department of Biology and Ecology of Fishes, Leibniz-Institute for Freshwater Ecology and Inland Fisheries, Berlin, Germany
- Department of Aquatic Ecology, University of Duisburg-Essen, Essen, Germany
- * E-mail:
| | - Björn Guse
- Department of Hydrology and Water Resources Management, Kiel University, Kiel, Germany
| | - Johannes Radinger
- Department of Biology and Ecology of Fishes, Leibniz-Institute for Freshwater Ecology and Inland Fisheries, Berlin, Germany
| | - Maria Schröder
- Department of Aquatic Ecology, University of Duisburg-Essen, Essen, Germany
| | - Jens Kiesel
- Department of Biology and Ecology of Fishes, Leibniz-Institute for Freshwater Ecology and Inland Fisheries, Berlin, Germany
- Department of Hydrology and Water Resources Management, Kiel University, Kiel, Germany
| | - Maarten Kleinhans
- Department of Physical Geography, Utrecht University, Utrecht, The Netherlands
| | - Filip Schuurman
- Department of Physical Geography, Utrecht University, Utrecht, The Netherlands
| | - Nicola Fohrer
- Department of Hydrology and Water Resources Management, Kiel University, Kiel, Germany
| | - Daniel Hering
- Department of Aquatic Ecology, University of Duisburg-Essen, Essen, Germany
| | - Christian Wolter
- Department of Biology and Ecology of Fishes, Leibniz-Institute for Freshwater Ecology and Inland Fisheries, Berlin, Germany
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18
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Schmalz B, Zhang Q, Kuemmerlen M, Cai Q, Jähnig S, Fohrer N. Modelling spatial distribution of surface runoff and sediment yield in a Chinese river basin without continuous sediment monitoring. HYDROLOGICAL SCIENCES JOURNAL 2015:1-24. [DOI: 10.1080/02626667.2014.967245] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
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19
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Chen C, Börnick H, Cai Q, Dai X, Jähnig SC, Kong Y, Krebs P, Kuenzer C, Kunstmann H, Liu Y, Nixdorf E, Pang Z, Rode M, Schueth C, Song Y, Yue T, Zhou K, Zhang J, Kolditz O. Challenges and opportunities of German-Chinese cooperation in water science and technology. ENVIRONMENTAL EARTH SCIENCES 2015; 73:4861-4871. [DOI: 10.1007/s12665-015-4149-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
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20
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The Sustainable Use of Water Resources: A Technical Support for Planning. A Case Study. SUSTAINABILITY 2014. [DOI: 10.3390/su6118128] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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21
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Kuemmerlen M, Schmalz B, Guse B, Cai Q, Fohrer N, Jähnig SC. Integrating catchment properties in small scale species distribution models of stream macroinvertebrates. Ecol Modell 2014. [DOI: 10.1016/j.ecolmodel.2014.01.020] [Citation(s) in RCA: 59] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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22
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Domisch S, Kuemmerlen M, Jähnig SC, Haase P. Choice of study area and predictors affect habitat suitability projections, but not the performance of species distribution models of stream biota. Ecol Modell 2013. [DOI: 10.1016/j.ecolmodel.2013.02.019] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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