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Cheng C, Zhang F, Shi J, Kung HT. What is the relationship between land use and surface water quality? A review and prospects from remote sensing perspective. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:56887-56907. [PMID: 35708802 PMCID: PMC9200943 DOI: 10.1007/s11356-022-21348-x] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 06/03/2022] [Indexed: 05/06/2023]
Abstract
Good surface water quality is critical to human health and ecology. Land use determines the surface water heat and material balance, which cause climate change and affect water quality. There are many factors affecting water quality degradation, and the process of influence is complex. As rivers, lakes, and other water bodies are used as environmental receiving carriers, evaluating and quantifying how impacts occur between land use types and surface water quality is extremely important. Based on the summary of published studies, we can see that (1) land use for agricultural and construction has a negative impact on surface water quality, while woodland use has a certain degree of improvement on surface water quality; (2) statistical methods used in relevant research mainly include correlation analysis, regression analysis, redundancy analysis, etc. Different methods have their own advantages and limitations; (3) in recent years, remote sensing monitoring technology has developed rapidly, and has developed into an effective tool for comprehensive water quality assessment and management. However, the increase in spatial resolution of remote sensing data has been accompanied by a surge in data volume, which has caused difficulties in information interpretation and other aspects.
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Affiliation(s)
- Chunyan Cheng
- College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi, 830046, China
| | - Fei Zhang
- College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi, 830046, China.
- Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi, 830046, China.
| | - Jingchao Shi
- Departments of Earth Sciences, The University of Memphis, Memphis, TN, 38152, USA
| | - Hsiang-Te Kung
- Departments of Earth Sciences, The University of Memphis, Memphis, TN, 38152, USA
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2
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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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Qiu J, Shen Z, Leng G, Wei G. Synergistic effect of drought and rainfall events of different patterns on watershed systems. Sci Rep 2021; 11:18957. [PMID: 34556685 PMCID: PMC8460717 DOI: 10.1038/s41598-021-97574-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 08/26/2021] [Indexed: 11/26/2022] Open
Abstract
The increase in extreme climate events such as flooding and droughts predicted by the general circulation models (GCMs) is expected to significantly affect hydrological processes, erosive dynamics, and their associated nonpoint source (NPS) pollution, resulting in a major challenge to water availability for human life and ecosystems. Using the Hydrological Simulation Program–Fortran model, we evaluated the synergistic effects of droughts and rainfall events on hydrology and water quality in an upstream catchment of the Miyun Reservoir based on the outputs of five GCMs. It showed substantial increases in air temperature, precipitation intensity, frequency of heavy rains and rainstorms, and drought duration, as well as sediment and nutrient loads in the RCP 8.5 scenario. Sustained droughts followed by intense precipitation could cause complex interactions and mobilize accumulated sediment, nutrients and other pollutants into surface water that pose substantial risks to the drinking water security, with the comprehensive effects of soil water content, antecedent drought duration, precipitation amount and intensity, and other climate characteristics, although the effects varied greatly under different rainfall patterns. The Methods and findings of this study evidence the synergistic impacts of droughts and heavy rainfall on watershed system and the significant effects of initial soil moisture conditions on water quantity and quality, and help to guide a robust adaptive management system for future drinking water supply.
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Affiliation(s)
- Jiali Qiu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, People's Republic of China
| | - Zhenyao Shen
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, People's Republic of China.
| | - Guoyong Leng
- Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, People's Republic of China
| | - Guoyuan Wei
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, People's Republic of China
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Regression Tree Analysis for Stream Biological Indicators Considering Spatial Autocorrelation. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18105150. [PMID: 34067950 PMCID: PMC8152292 DOI: 10.3390/ijerph18105150] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Revised: 05/07/2021] [Accepted: 05/10/2021] [Indexed: 11/17/2022]
Abstract
Multiple studies have been conducted to identify the complex and diverse relationships between stream ecosystems and land cover. However, these studies did not consider spatial dependency inherent from the systemic structure of streams. Therefore, the present study aimed to analyze the relationship between green/urban areas and topographical variables with biological indicators using regression tree analysis, which considered spatial autocorrelation at two different scales. The results of the principal components analysis suggested that the topographical variables exhibited the highest weights among all components, including biological indicators. Moran′s I values verified spatial autocorrelation of biological indicators; additionally, trophic diatom index, benthic macroinvertebrate index, and fish assessment index values were greater than 0.7. The results of spatial autocorrelation analysis suggested that a significant spatial dependency existed between environmental and biological indicators. Regression tree analysis was conducted for each indicator to compensate for the occurrence of autocorrelation; subsequently, the slope in riparian areas was the first criterion of differentiation for biological condition datasets in all regression trees. These findings suggest that considering spatial autocorrelation for statistical analyses of stream ecosystems, riparian proximity, and topographical characteristics for land use planning around the streams is essential to maintain the healthy biological conditions of streams.
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Du X, Song D, Ming K, Jin X, Wang H, Wang L, Liu H, Zhao C, Huo T. Response of macroinvertebrate communities to land use and water quality in Wudalianchi Lake. Ecol Evol 2021; 11:1368-1377. [PMID: 33598137 PMCID: PMC7863386 DOI: 10.1002/ece3.7140] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 11/19/2020] [Accepted: 11/25/2020] [Indexed: 12/03/2022] Open
Abstract
Macroinvertebrate assemblages are structured by a number of abiotic and biotic factors interacting simultaneously. We investigated macroinvertebrate assemblages along gradients of human disturbance and morphometric characteristics in five lakes connected by the same stream. We aimed to assess the relative effects of environmental gradients on macroinvertebrate assemblages and to investigate whether water quality effects on the assemblages were correlated with buffer land use. There were significant differences in macroinvertebrate community compositions among lakes, and our results indicated that oligochaetes (mainly Limnodrilus) and insects (mainly Chironomus) contributed highly to the differences. We used redundancy analysis with variation partitioning to quantify the independent and combined anthropogenic effects of water quality and land use gradients on the macroinvertebrate community. The independent effect of water quality was responsible for 17% of the total variance in macroinvertebrate community composition, the independent effect of buffer land use accounted for 6% of variation, and the combined variation between land use change and water quality accounted for 12%. Our study indicated that both the independent effects of land use and within-lake water quality can explain the influence in macroinvertebrate assemblages, with significant interactions between the two. This is rather important to notice that changes in buffer land use generally may alter nutrient inputs and thus severely affect abiotic conditions encountered by macroinvertebrate. Our study demonstrates that considering buffer zone effects explicitly may be significant in the selection and application of conservation and management strategies.
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Affiliation(s)
- Xue Du
- Heilongjiang River Fishery Research InstituteChinese Academy of Fishery SciencesHarbinChina
| | - Dan Song
- Heilongjiang River Fishery Research InstituteChinese Academy of Fishery SciencesHarbinChina
| | - Kun Ming
- Harbin Management Station of the Forth Administration Bureau of Reserve assetsThe Joint Logistics Support Force of PLAHarbinChina
| | - Xing Jin
- Heilongjiang River Fishery Research InstituteChinese Academy of Fishery SciencesHarbinChina
| | - Huibo Wang
- Heilongjiang River Fishery Research InstituteChinese Academy of Fishery SciencesHarbinChina
| | - Le Wang
- Heilongjiang River Fishery Research InstituteChinese Academy of Fishery SciencesHarbinChina
| | - Hui Liu
- Heilongjiang River Fishery Research InstituteChinese Academy of Fishery SciencesHarbinChina
| | - Chen Zhao
- Heilongjiang River Fishery Research InstituteChinese Academy of Fishery SciencesHarbinChina
| | - Tangbin Huo
- Heilongjiang River Fishery Research InstituteChinese Academy of Fishery SciencesHarbinChina
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Hydrologic Assessment of TRMM and GPM-Based Precipitation Products in Transboundary River Catchment (Chenab River, Pakistan). WATER 2020. [DOI: 10.3390/w12071902] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Water resources planning and management depend on the quality of climatic data, particularly rainfall data, for reliable hydrological modeling. This can be very problematic in transboundary rivers with limited disclosing of data among the riparian countries. Satellite precipitation products are recognized as a promising source to substitute the ground-based observations in these conditions. This research aims to assess the feasibility of using a satellite-based precipitation product for better hydrological modeling in an ungauged and riparian river in Pakistan, i.e., the Chenab River. A semidistributed hydrological model of The soil and water assessment tool (SWAT) was set up and two renowned satellite precipitation products, i.e., global precipitation mission (GPM) IMERG-F v6 and tropical rainfall measuring mission (TRMM) 3B42 v7, were selected to assess the runoff pattern in Chenab River. The calibration was done from 2001–2006 with two years of a warmup period. The validation (2007–2010) results exhibit higher correlation between observed and simulated discharges at monthly timescale simulations, IMERG-F (R2 = 0.89, NSE = 0.82), 3B42 (R2 = 0.85, NSE = 0.72), rather than daily timescale simulations, IMERG-F (R2 = 0.66, NSE = 0.61), 3B42 (R2 = 0.64, NSE = 0.54). Moreover, the comparison between IMERG-F and 3B42, shows that IMERG-F is superior to 3B42 by indicating higher R2, NSE and lower percent bias (PBIAS) at both monthly and daily timescale. The results are strengthened by Taylor diagram statistics, which represent a higher correlation (R) and less RMS error between observed and simulated values for IMERG-F. IMERG-F has great potential utility in the Chenab River catchment as it outperformed the 3B42 precipitation in this study. However, its poor skill of capturing peaks at daily timescale remains, leaving a room for IMERG-F to improve its algorithm in the upcoming release.
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Li X, Li Y, Li G. A scientometric review of the research on the impacts of climate change on water quality during 1998-2018. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:14322-14341. [PMID: 32152856 DOI: 10.1007/s11356-020-08176-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2019] [Accepted: 02/20/2020] [Indexed: 06/10/2023]
Abstract
Research on the impacts of climate change on water quality helps to better formulate water quality strategies under the challenge of an uncertain future, which is critical for human survival and development. As a result, in recent years, there has been growing attention given to research in the field, and the attention has led to an increasing number of publications, which is why a systematic literature review on this topic has been proposed in the current paper. This study reviewed 2998 related articles extracted from the Science Citation Index-Expanded (SCI-E) database from 1998 to 2018 to analyse and visualize historical trend evolution, current research hotspots, and promising ideas for future research by combining a traditional literature review, bibliometric analysis, and scientific knowledge mapping. The results revealed that the impacts of climate change on water quality mainly included the aggravation of eutrophication, changes in the flow, hydrological and thermal conditions, and the destruction of ecosystems and biodiversity. Further exploration of the influence mechanism of climate change on cyanobacteria is an emerging research topic. Additionally, the water quality conditions of shallow lakes and drinking water are promising future research objects. In the context of climate change, the general rules of water quality management and the scientific planning of land use are of great significance and need to be further studied. This study provides a practical and valuable reference for researchers to help with the selection of future research topics, which may contribute to further development in this field.
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Affiliation(s)
- Xia Li
- School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin, 300384, China.
| | - Yang Li
- School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin, 300384, China
| | - Guojin Li
- Tianjin Municipal Engineering Design & Research Institute, Tianjin, 300392, China
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Damanik-Ambarita MN, Boets P, Nguyen Thi HT, Forio MAE, Everaert G, Lock K, Musonge PLS, Suhareva N, Bennetsen E, Gobeyn S, Ho TL, Dominguez-Granda L, Goethals PL. Impact assessment of local land use on ecological water quality of the Guayas river basin (Ecuador). ECOL INFORM 2018. [DOI: 10.1016/j.ecoinf.2018.08.009] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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9
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An Alternative Approach to Overcome the Limitation of HRUs in Analyzing Hydrological Processes Based on Land Use/Cover Change. WATER 2018. [DOI: 10.3390/w10040434] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Qu Y, Wu N, Guse B, Fohrer N. Riverine phytoplankton shifting along a lentic-lotic continuum under hydrological, physiochemical conditions and species dispersal. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 619-620:1628-1636. [PMID: 29066197 DOI: 10.1016/j.scitotenv.2017.10.139] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2017] [Revised: 10/12/2017] [Accepted: 10/14/2017] [Indexed: 06/07/2023]
Abstract
The importance of phytoplankton-based bio-assessment has been recently recognized in lowland rivers which are affected by multi-environmental factors. However, some basic questions remain unclear to date, such as: (i) spatial and temporal variations of phytoplankton, (ii) the impact of upstream lakes on downstream community, (iii) the main drivers for species composition or (iv) the regional biodiversity along a lentic-lotic continuum. To answer these questions, we collected and analyzed the fluvial phytoplankton communities along a lentic-lotic continuum from a German lowland catchment, where a well-established ecohydrological modeling predicted long-term discharges at each sampling site. Our results revealed very high spatial and temporal variations of phytoplankton community. The changes of a lake on downstream phytoplankton assemblages were significant, especially the nearest reach after the lake. However, these influences varied along with seasons and limited in a relatively short distance to the lake. Redundancy analysis and Mantel tests showed that phytoplankton composition and dissimilarities along the lentic-lotic continuum attributed more to local hydrological and physicochemical variables than species dispersal, which confirmed the suitability of lowland phytoplankton-based bioassessment. In addition, our findings highlighted the importance of flow regime in shaping phytoplankton community composition and regional beta diversities. This study emphasized the necessity to include the hydrological variables and their relationship with phytoplankton community in future bio-monitoring investigations.
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Affiliation(s)
- Yueming Qu
- Department of Hydrology and Water Resources Management, Institute for Natural Resource Conservation, Kiel University, 24118 Kiel, Germany.
| | - Naicheng Wu
- Department of Hydrology and Water Resources Management, Institute for Natural Resource Conservation, Kiel University, 24118 Kiel, Germany; Aarhus Institute of Advanced Studies, Aarhus University, Høegh-Guldbergs Gade 6B, 8000 Aarhus C, Denmark; Department of Bioscience, Aarhus University, Ole Worms Allé 1, 8000 Aarhus C, Denmark.
| | - Björn Guse
- Department of Hydrology and Water Resources Management, Institute for Natural Resource Conservation, Kiel University, 24118 Kiel, Germany; GFZ German Research Centre for Geosciences, Section 5.4 Hydrology, Potsdam, Germany
| | - Nicola Fohrer
- Department of Hydrology and Water Resources Management, Institute for Natural Resource Conservation, Kiel University, 24118 Kiel, Germany
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Ecological Models to Infer the Quantitative Relationship between Land Use and the Aquatic Macroinvertebrate Community. WATER 2018. [DOI: 10.3390/w10020184] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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12
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Liu Y, Yue H. Estimating the fluctuation of Lake Hulun, China, during 1975-2015 from satellite altimetry data. ENVIRONMENTAL MONITORING AND ASSESSMENT 2017; 189:630. [PMID: 29128974 DOI: 10.1007/s10661-017-6346-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2017] [Accepted: 11/02/2017] [Indexed: 06/07/2023]
Abstract
Lake level, area, and volume changes can describe the fluctuation of water bodies. In this study, ICESat/Hydroweb and Landsat data recorded with irregularly time intervals from 1975 to 2015 were used to examine changes in lake level and area which were combined to indirectly estimate water volume variations of Lake Hulun. The time series of lake level, area, and volume variations of Lake Hulun exhibited a fluctuating trend from 1975 to 1984 and the mean value were about 542.57 m, 2065.76 km2, and - 0.045 km3, respectively and an increasing trends showed during 1984-2000. Lake Hulun revealed the fastest decrease in lake level (- 0.42 m/a), volume (- 0.83 km3/a) from 2000 to 2009, and the fastest shrinking in surface area (- 33.88 km2/a) during 2000-2012. There was a seasonal variation of water level and lake volume variations during 2009-2012 and the mean value were 539.98 m and - 5.72 km3, respectively. From 2012 to 2015, a faster increasing trends were shown in water level, area, and volume variations with a rate of 0.73 m/a (the amount of change was 2.92 m), 81.95 km3/a (the amount of change was 327.8 km2), and 0.42 km3/a (the amount of change was1.67 km3), respectively. The lake level and area showed strong correlations for Lake Hulun (R 2 = 0.93). The water volume changes were in very good agreement for lake level changes (R 2 > 0.99) and surface area variations (R 2 = 0.92). Combining with lake level and area changes, the sum of lake volume variation of Lake Hulun was obtained and it showed a positive water budgets of 0.24 km3 during past 40 years. River and groundwater discharge, the pan evaporation, the net pan evaporation, and the water diversion project were reasons for the lake level, area, and volume variations in Lake Hulun. This study demonstrates that remote sensing data can be used as a source of information for monitoring comprehensively the fluctuation of large water bodies.
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Affiliation(s)
- Ying Liu
- College of Geomatics, Xi'an University of Science and Technology, Yanta Road, Xi'an, Shaanxi, 710054, China
| | - Hui Yue
- College of Geomatics, Xi'an University of Science and Technology, Yanta Road, Xi'an, Shaanxi, 710054, China.
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Tuo Y, Duan Z, Disse M, Chiogna G. Evaluation of precipitation input for SWAT modeling in Alpine catchment: A case study in the Adige river basin (Italy). THE SCIENCE OF THE TOTAL ENVIRONMENT 2016; 573:66-82. [PMID: 27552731 DOI: 10.1016/j.scitotenv.2016.08.034] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Revised: 08/05/2016] [Accepted: 08/05/2016] [Indexed: 06/06/2023]
Abstract
Precipitation is often the most important input data in hydrological models when simulating streamflow. The Soil and Water Assessment Tool (SWAT), a widely used hydrological model, only makes use of data from one precipitation gauge station that is nearest to the centroid of each subbasin, which is eventually corrected using the elevation band method. This leads in general to inaccurate representation of subbasin precipitation input data, particularly in catchments with complex topography. To investigate the impact of different precipitation inputs on the SWAT model simulations in Alpine catchments, 13years (1998-2010) of daily precipitation data from four datasets including OP (Observed precipitation), IDW (Inverse Distance Weighting data), CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data) and TRMM (Tropical Rainfall Measuring Mission) has been considered. Both model performances (comparing simulated and measured streamflow data at the catchment outlet) as well as parameter and prediction uncertainties have been quantified. For all three subbasins, the use of elevation bands is fundamental to match the water budget. Streamflow predictions obtained using IDW inputs are better than those obtained using the other datasets in terms of both model performance and prediction uncertainty. Models using the CHIRPS product as input provide satisfactory streamflow estimation, suggesting that this satellite product can be applied to this data-scarce Alpine region. Comparing the performance of SWAT models using different precipitation datasets is therefore important in data-scarce regions. This study has shown that, precipitation is the main source of uncertainty, and different precipitation datasets in SWAT models lead to different best estimate ranges for the calibrated parameters. This has important implications for the interpretation of the simulated hydrological processes.
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Affiliation(s)
- Ye Tuo
- Chair of Hydrology and River Basin Management, Technical University of Munich, Arcisstrasse 21, 80333 München, Germany.
| | - Zheng Duan
- Chair of Hydrology and River Basin Management, Technical University of Munich, Arcisstrasse 21, 80333 München, Germany
| | - Markus Disse
- Chair of Hydrology and River Basin Management, Technical University of Munich, Arcisstrasse 21, 80333 München, Germany
| | - Gabriele Chiogna
- Chair of Hydrology and River Basin Management, Technical University of Munich, Arcisstrasse 21, 80333 München, Germany
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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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Tonkin JD, Shah DN, Kuemmerlen M, Li F, Cai Q, Haase P, Jähnig SC. Climatic and Catchment-Scale Predictors of Chinese Stream Insect Richness Differ between Taxonomic Groups. PLoS One 2015; 10:e0123250. [PMID: 25909190 PMCID: PMC4409210 DOI: 10.1371/journal.pone.0123250] [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: 10/20/2014] [Accepted: 02/28/2015] [Indexed: 11/18/2022] Open
Abstract
Little work has been done on large-scale patterns of stream insect richness in China. We explored the influence of climatic and catchment-scale factors on stream insect (Ephemeroptera, Plecoptera, Trichoptera; EPT) richness across mid-latitude China. We assessed the predictive ability of climatic, catchment land cover and physical structure variables on genus richness of EPT, both individually and combined, in 80 mid-latitude Chinese streams, spanning a 3899-m altitudinal gradient. We performed analyses using boosted regression trees and explored the nature of their influence on richness patterns. The relative importance of climate, land cover, and physical factors on stream insect richness varied considerably between the three orders, and while important for Ephemeroptera and Plecoptera, latitude did not improve model fit for any of the groups. EPT richness was linked with areas comprising high forest cover, elevation and slope, large catchments and low temperatures. Ephemeroptera favoured areas with high forest cover, medium-to-large catchment sizes, high temperature seasonality, and low potential evapotranspiration. Plecoptera richness was linked with low temperature seasonality and annual mean, and high slope, elevation and warm-season rainfall. Finally, Trichoptera favoured high elevation areas, with high forest cover, and low mean annual temperature, seasonality and aridity. Our findings highlight the variable role that catchment land cover, physical properties and climatic influences have on stream insect richness. This is one of the first studies of its kind in Chinese streams, thus we set the scene for more in-depth assessments of stream insect richness across broader spatial scales in China, but stress the importance of improving data availability and consistency through time.
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Affiliation(s)
- Jonathan D. Tonkin
- Department of River Ecology and Conservation, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany
- Biodiversity and Climate Research Centre (BiK-F), Frankfurt am Main, Germany
| | - Deep Narayan Shah
- Department of River Ecology and Conservation, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany
- Biodiversity and Climate Research Centre (BiK-F), Frankfurt am Main, Germany
| | - Mathias Kuemmerlen
- Department of River Ecology and Conservation, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany
- Biodiversity and Climate Research Centre (BiK-F), Frankfurt am Main, Germany
| | - Fengqing Li
- Department of River Ecology and Conservation, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany
- Biodiversity and Climate Research Centre (BiK-F), Frankfurt am Main, Germany
| | - Qinghua Cai
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, P.R. China
| | - Peter Haase
- Department of River Ecology and Conservation, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany
- Biodiversity and Climate Research Centre (BiK-F), Frankfurt am Main, Germany
| | - Sonja C. Jähnig
- Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB), Department of Ecosystem Research, Berlin, Germany
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