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Frantz MW, Wood PB, Latta SC. Spatial stream modeling of Louisiana Waterthrush (Parkesia motacilla) foraging substrate and aquatic prey in a watershed undergoing shale gas development. FOOD WEBS 2022. [DOI: 10.1016/j.fooweb.2022.e00249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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2
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Torgersen CE, Le Pichon C, Fullerton AH, Dugdale SJ, Duda JJ, Giovannini F, Tales É, Belliard J, Branco P, Bergeron NE, Roy ML, Tonolla D, Lamouroux N, Capra H, Baxter CV. Riverscape approaches in practice: perspectives and applications. Biol Rev Camb Philos Soc 2021; 97:481-504. [PMID: 34758515 DOI: 10.1111/brv.12810] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 10/12/2021] [Accepted: 10/18/2021] [Indexed: 11/30/2022]
Abstract
Landscape perspectives in riverine ecology have been undertaken increasingly in the last 30 years, leading aquatic ecologists to develop a diverse set of approaches for conceptualizing, mapping and understanding 'riverscapes'. Spatiotemporally explicit perspectives of rivers and their biota nested within the socio-ecological landscape now provide guiding principles and approaches in inland fisheries and watershed management. During the last two decades, scientific literature on riverscapes has increased rapidly, indicating that the term and associated approaches are serving an important purpose in freshwater science and management. We trace the origins and theoretical foundations of riverscape perspectives and approaches and examine trends in the published literature to assess the state of the science and demonstrate how they are being applied to address recent challenges in the management of riverine ecosystems. We focus on approaches for studying and visualizing rivers and streams with remote sensing, modelling and sampling designs that enable pattern detection as seen from above (e.g. river channel, floodplain, and riparian areas) but also into the water itself (e.g. aquatic organisms and the aqueous environment). Key concepts from landscape ecology that are central to riverscape approaches are heterogeneity, scale (resolution, extent and scope) and connectivity (structural and functional), which underpin spatial and temporal aspects of study design, data collection and analysis. Mapping of physical and biological characteristics of rivers and floodplains with high-resolution, spatially intensive techniques improves understanding of the causes and ecological consequences of spatial patterns at multiple scales. This information is crucial for managing river ecosystems, especially for the successful implementation of conservation, restoration and monitoring programs. Recent advances in remote sensing, field-sampling approaches and geospatial technology are making it increasingly feasible to collect high-resolution data over larger scales in space and time. We highlight challenges and opportunities and discuss future avenues of research with emerging tools that can potentially help to overcome obstacles to collecting, analysing and displaying these data. This synthesis is intended to help researchers and resource managers understand and apply these concepts and approaches to address real-world problems in freshwater management.
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Affiliation(s)
- Christian E Torgersen
- U.S. Geological Survey, Forest and Rangeland Ecosystem Science Center, Cascadia Field Station, University of Washington, School of Environmental and Forest Sciences, Box 352100, Seattle, WA, 98195, U.S.A
| | - Céline Le Pichon
- INRAE, HYCAR, Université Paris-Saclay, 1 rue Pierre Gilles de Gennes, CS 10030, Antony Cedex, 92761, France
| | - Aimee H Fullerton
- NOAA, National Marine Fisheries Service, Northwest Fisheries Science Center, Fish Ecology Division, 2725 Montlake Blvd. E., Seattle, WA, 98112, U.S.A
| | - Stephen J Dugdale
- School of Geography, University of Nottingham, University Park, Nottingham, NG7 2RD, U.K
| | - Jeffrey J Duda
- U.S. Geological Survey, Western Fisheries Research Center, 6505 NE 65th St., Seattle, WA, 98115, U.S.A
| | - Floriane Giovannini
- INRAE, DipSO (Directorate for Open Science), 1 rue Pierre Gilles de Gennes, CS 10030, Antony Cedex, 92761, France
| | - Évelyne Tales
- INRAE, HYCAR, Université Paris-Saclay, 1 rue Pierre Gilles de Gennes, CS 10030, Antony Cedex, 92761, France
| | - Jérôme Belliard
- INRAE, HYCAR, Université Paris-Saclay, 1 rue Pierre Gilles de Gennes, CS 10030, Antony Cedex, 92761, France
| | - Paulo Branco
- Centro de Estudos Florestais, Instituto Superior de Agronomia, Universidade de Lisboa, Lisbon, 1349-017, Portugal
| | - Normand E Bergeron
- Institut National de la Recherche Scientifique, Centre Eau Terre Environnement, 490 rue de la Couronne, Québec, QC, G1K 9A9, Canada
| | - Mathieu L Roy
- Environment and Climate Change Canada, 1550 Av. d'Estimauville, Québec, QC, G1J 0C3, Canada
| | - Diego Tonolla
- Institute of Natural Resource Sciences, Zurich University of Applied Sciences, Grüental, Wädenswil, 8820, Switzerland
| | - Nicolas Lamouroux
- INRAE, RiverLy, 5 rue de la Doua, CS 20244, Villeurbanne Cedex, 69625, France
| | - Hervé Capra
- INRAE, RiverLy, 5 rue de la Doua, CS 20244, Villeurbanne Cedex, 69625, France
| | - Colden V Baxter
- Stream Ecology Center, Department of Biological Sciences, Idaho State University, Pocatello, ID, 83209, U.S.A
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Sharma A, Dubey VK, Johnson JA, Rawal YK, Sivakumar K. Dendritic prioritization through spatial stream network modeling informs targeted management of Himalayan riverscapes under brown trout invasion. J Appl Ecol 2021. [DOI: 10.1111/1365-2664.13997] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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McGill L, Brooks J, Steel E. Spatiotemporal dynamics of water sources in a mountain river basin inferred through δ 2H and δ 18O of water. HYDROLOGICAL PROCESSES 2021; 35:10.1002/hyp.14063. [PMID: 33854273 PMCID: PMC8040057 DOI: 10.1002/hyp.14063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Accepted: 01/18/2021] [Indexed: 06/12/2023]
Abstract
In mountainous river basins of the Pacific Northwest, climate models predict that winter warming will result in increased precipitation falling as rain and decreased snowpack. A detailed understanding of the spatial and temporal dynamics of water sources across river networks will help illuminate climate change impacts on river flow regimes. Because the stable isotopic composition of precipitation varies geographically, variation in surface water isotope ratios indicates the volume-weighted integration of upstream source water. We measured the stable isotope ratios of surface water samples collected in the Snoqualmie River basin in western Washington over June and September 2017 and the 2018 water year. We used ordinary least squares regression and geostatistical Spatial Stream Network models to relate surface water isotope ratios to mean watershed elevation (MWE) across seasons. Geologic and discharge data was integrated with water isotopes to create a conceptual model of streamflow generation for the Snoqualmie River. We found that surface water stable isotope ratios were lowest in the spring and highest in the dry, Mediterranean summer, but related strongly to MWE throughout the year. Low isotope ratios in spring reflect the input of snowmelt into high elevation tributaries. High summer isotope ratios suggest that groundwater is sourced from low elevation areas and recharged by winter precipitation. Overall, our results suggest that baseflow in the Snoqualmie River may be resilient to predicted warming and subsequent changes to snowpack in the Pacific Northwest.
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Affiliation(s)
- L.M. McGill
- Quantitative Ecology and Resource Management, University of Washington, Seattle, WA 98105, USA
| | - J.R. Brooks
- Pacific Ecological Systems Division, National Health and Environmental Effects Research Laboratory, U.S. Environmental Protection Agency, 200 SW 35th Street, Corvallis, Oregon 97333, USA
| | - E.A. Steel
- School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA 98105, USA
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Larsen S, Comte L, Filipa Filipe A, Fortin MJ, Jacquet C, Ryser R, Tedesco PA, Brose U, Erős T, Giam X, Irving K, Ruhi A, Sharma S, Olden JD. The geography of metapopulation synchrony in dendritic river networks. Ecol Lett 2021; 24:791-801. [PMID: 33619868 PMCID: PMC8049041 DOI: 10.1111/ele.13699] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 09/30/2020] [Accepted: 01/07/2021] [Indexed: 02/07/2023]
Abstract
Dendritic habitats, such as river ecosystems, promote the persistence of species by favouring spatial asynchronous dynamics among branches. Yet, our understanding of how network topology influences metapopulation synchrony in these ecosystems remains limited. Here, we introduce the concept of fluvial synchrogram to formulate and test expectations regarding the geography of metapopulation synchrony across watersheds. By combining theoretical simulations and an extensive fish population time‐series dataset across Europe, we provide evidence that fish metapopulations can be buffered against synchronous dynamics as a direct consequence of network connectivity and branching complexity. Synchrony was higher between populations connected by direct water flow and decayed faster with distance over the Euclidean than the watercourse dimension. Likewise, synchrony decayed faster with distance in headwater than mainstem populations of the same basin. As network topology and flow directionality generate fundamental spatial patterns of synchrony in fish metapopulations, empirical synchrograms can aid knowledge advancement and inform conservation strategies in complex habitats.
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Affiliation(s)
- Stefano Larsen
- Unit of Computational Biology, Research and Innovation Centre, Fondazione Edmund Mach, via E. Mach 1, San Michele all'Adige, 38010, Italy.,Department of Civil Environmental and Mechanical Engineering, University of Trento, Trento, Italy
| | - Lise Comte
- School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA, 98105, USA.,School of Biological Sciences, Illinois State University, Normal, IL 61790, USA
| | - Ana Filipa Filipe
- CIBIO/InBio, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Vairão, Portugal.,Instituto Superior de Agronomia, Universidade de Lisboa, Lisboa, Portugal
| | - Marie-Josée Fortin
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, M5S 3B2, Canada
| | - Claire Jacquet
- Department of Aquatic Ecology, Swiss Federal Institute of Aquatic Science and Technology, Eawag, Dübendorf, Switzerland.,Complex Systems Lab, INRAE - Centre Clermont-Auvergne-Rhône-Alpes, 9 avenue Blaise Pascal, Aubière,, 63170, France.,Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zürich, Switzerland
| | - Remo Ryser
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, 04103, Germany.,Institute of Biodiversity, Friedrich-Schiller-University Jena, Jena, 07743, Germany
| | - Pablo A Tedesco
- UMR EDB, CNRS 5174, UPS, Université Paul Sabatier, IRD 253, Toulouse, France
| | - Ulrich Brose
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, 04103, Germany.,Institute of Biodiversity, Friedrich-Schiller-University Jena, Jena, 07743, Germany
| | - Tibor Erős
- MTA Centre for Ecological Research, Balaton Limnological Institute, Klebelsberg K. u. 3, Tihany, 8237, Hungary
| | - Xingli Giam
- School of Biological Sciences, Illinois State University, Normal, IL 61790, USA
| | - Katie Irving
- Biology Department, Southern California Coastal Water Research Project, Costa Mesa, CA, 92626, USA.,Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, CA, 94720, USA
| | - Albert Ruhi
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, CA, 94720, USA
| | - Sapna Sharma
- Department of Biology, York University, 4700 Keele Street, Toronto, ON, M3J 1P3, Canada
| | - Julian D Olden
- School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA, 98105, USA
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McGill L, Steel E, Brooks J, Edwards R, Fullerton A. Elevation and spatial structure explain most surface-water isotopic variation across five Pacific Coast basins. JOURNAL OF HYDROLOGY 2020; 583:10.1016/j.jhydrol.2020.124610. [PMID: 33746290 PMCID: PMC7970517 DOI: 10.1016/j.jhydrol.2020.124610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
The stable isotope ratios of stream water can be used to trace water sources within river basins; however, drivers of variation in water isotopic spatial patterns across basins must be understood before ecologically relevant and isotopically distinct water sources can be identified and this tool efficiently applied. We measured the isotope ratios of surface-water samples collected during summer low-flow across five basins in Washington and southeast Alaska (Snoqualmie, Green, Skagit, and Wenatchee Rivers, and Cowee Creek) and compared models (isoscapes) describing the spatial variation in surface-water isotope ratios across a range of hydraulic and climatic conditions. We found strong correlations between mean watershed (MWE) elevation and surface-water isotopic ratios on the windward west side of the Cascades and in Alaska, explaining 48-90% of variation in δ18O values. Conversely, in the Wenatchee basin, located leeward of the Cascade Range, MWE alone had no predicative power. The elevation relationship and predictive isoscapes varied between basins, even those adjacent to each other. Applying spatial stream network models (SSNMs) to the Snoqualmie and Wenatchee Rivers, we found incorporating Euclidean and flow-connected spatial autocovariance improved explanatory power. SSNMs improved the accuracy of river water isoscapes in all cases; however, their utility was greater for the Wenatchee basin, where covariates explained only a small proportion of total variation. Our study provides insights into why basinscale surface-water isoscapes may vary even in adjacent basins and the importance of incorporating spatial autocorrelation in isoscapes. For determining source water contributions to downstream waters, our results indicate that surface water isoscapes should be developed for each basin of interest.
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Affiliation(s)
- L.M. McGill
- Quantitative Ecology and Resource Management, University of Washington, Seattle, WA 98105, USA
| | - E.A. Steel
- Pacific Northwest Research Station, USDA Forest Service, 400 NW 34th Street, Suite 201, Seattle, WA 98103, USA
| | - J.R. Brooks
- Western Ecology Division, National Health and Environmental Effects Research Laboratory, U.S. Environmental Protection Agency, 200 SW 35th Street, Corvallis, Oregon 97333, USA
| | - R.T Edwards
- Pacific Northwest Research Station, USDA Forest Service, 11175 Auke Lake Way, Juneau, AK 99801, USA
| | - A.H. Fullerton
- Fish Ecology Division, Northwest Fisheries Science Center, National Marine Fisheries Service, NOAA, 2725 Montlake Blvd E, Seattle, WA 98112, USA
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