1
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Sulliván SMP, Gardner RC. US Supreme Court opinion harms watersheds. Science 2023; 381:385. [PMID: 37499038 DOI: 10.1126/science.adj0227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Affiliation(s)
| | - Royal C Gardner
- Institute for Biodiversity Law and Policy, Stetson University College of Law, Gulfport, FL, USA
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2
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Lane CR, D’Amico E, Christensen JR, Golden HE, Wu Q, Rajib A. Mapping global non-floodplain wetlands. EARTH SYSTEM SCIENCE DATA 2023; 15:2927-2955. [PMID: 37841644 PMCID: PMC10569017 DOI: 10.5194/essd-15-2927-2023] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/17/2023]
Abstract
Non-floodplain wetlands - those located outside the floodplains - have emerged as integral components to watershed resilience, contributing hydrologic and biogeochemical functions affecting watershed-scale flooding extent, drought magnitude, and water-quality maintenance. However, the absence of a global dataset of non-floodplain wetlands limits their necessary incorporation into water quality and quantity management decisions and affects wetland-focused wildlife habitat conservation outcomes. We addressed this critical need by developing a publicly available "Global NFW" (Non-Floodplain Wetland) dataset, comprised of a global river-floodplain map at 90 m resolution coupled with a global ensemble wetland map incorporating multiple wetland-focused data layers. The floodplain, wetland, and non-floodplain wetland spatial data developed here were successfully validated within 21 large and heterogenous basins across the conterminous United States. We identified nearly 33 million potential non-floodplain wetlands with an estimated global extent of over 16×106 km2. Non-floodplain wetland pixels comprised 53% of globally identified wetland pixels, meaning the majority of the globe's wetlands likely occur external to river floodplains and coastal habitats. The identified global NFWs were typically small (median 0.039 km2), with a global median size ranging from 0.018-0.138 km2. This novel geospatial Global NFW static dataset advances wetland conservation and resource-management goals while providing a foundation for global non-floodplain wetland functional assessments, facilitating non-floodplain wetland inclusion in hydrological, biogeochemical, and biological model development. The data are freely available through the United States Environmental Protection Agency's Environmental Dataset Gateway (https://gaftp.epa.gov/EPADataCommons/ORD/Global_NonFloodplain_Wetlands/, last access: 24 May 2023) and through https://doi.org/10.23719/1528331 (Lane et al., 2023a).
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Affiliation(s)
- Charles R. Lane
- U.S. Environmental Protection Agency, Office of Research and Development, Center for Environmental Measurement and Modeling, Athens, Georgia, USA
| | - Ellen D’Amico
- Pegasus Technical Service, Inc. c/o U.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, Ohio, USA
| | - Jay R. Christensen
- U.S. Environmental Protection Agency, Office of Research and Development, Center for Environmental Measurement and Modeling, Cincinnati, Ohio, USA
| | - Heather E. Golden
- U.S. Environmental Protection Agency, Office of Research and Development, Center for Environmental Measurement and Modeling, Cincinnati, Ohio, USA
| | - Qiusheng Wu
- Department of Geography & Sustainability, University of Tennessee, Knoxville, Tennessee, USA
| | - Adnan Rajib
- Hydrology and Hydroinformatics Innovation Lab, Department of Civil Engineering, University of Texas at Arlington, Arlington, Texas, USA
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3
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Wang Z, Vivoni ER. Detecting Streamflow in Dryland Rivers Using CubeSats. GEOPHYSICAL RESEARCH LETTERS 2022; 49:e2022GL098729. [PMID: 36247514 PMCID: PMC9540060 DOI: 10.1029/2022gl098729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 06/13/2022] [Accepted: 07/07/2022] [Indexed: 06/16/2023]
Abstract
Determining the flow regime of non-perennial rivers is critical in hydrology. In this study, we developed a new approach using CubeSat imagery to detect streamflow presence using differences in surface reflectance for areas within and outside of a river reach. We calibrated the approach with streamflow records in the Hassayampa River of Arizona over 3 years (2019-2021), finding good agreement in the annual fractions of flowing days at stream gages (R 2 = 0.82, p < 0.0001). Subsequently, annual fractions of flowing days were derived at 90 m intervals along the Hassayampa River, finding that 12% of reaches were classified as intermittent, with the remaining as ephemeral. Using a Hovmöller diagram, streamflow presence was visualized in unprecedented spatiotemporal detail, allowing estimates of daily fraction of flowing channel and annual fractions of flowing days. This new tool opens avenues for detecting streamflow and studying hydrological and biogeochemical processes dependent on water presence in drylands.
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Affiliation(s)
- Zhaocheng Wang
- School of Sustainable Engineering and the Built EnvironmentArizona State UniversityTempeAZUSA
| | - Enrique R. Vivoni
- School of Sustainable Engineering and the Built EnvironmentArizona State UniversityTempeAZUSA
- School of Earth and Space ExplorationArizona State UniversityTempeAZUSA
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4
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Richardson DC, Holgerson MA, Farragher MJ, Hoffman KK, King KBS, Alfonso MB, Andersen MR, Cheruveil KS, Coleman KA, Farruggia MJ, Fernandez RL, Hondula KL, López Moreira Mazacotte GA, Paul K, Peierls BL, Rabaey JS, Sadro S, Sánchez ML, Smyth RL, Sweetman JN. A functional definition to distinguish ponds from lakes and wetlands. Sci Rep 2022; 12:10472. [PMID: 35729265 PMCID: PMC9213426 DOI: 10.1038/s41598-022-14569-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 06/08/2022] [Indexed: 11/14/2022] Open
Abstract
Ponds are often identified by their small size and shallow depths, but the lack of a universal evidence-based definition hampers science and weakens legal protection. Here, we compile existing pond definitions, compare ecosystem metrics (e.g., metabolism, nutrient concentrations, and gas fluxes) among ponds, wetlands, and lakes, and propose an evidence-based pond definition. Compiled definitions often mentioned surface area and depth, but were largely qualitative and variable. Government legislation rarely defined ponds, despite commonly using the term. Ponds, as defined in published studies, varied in origin and hydroperiod and were often distinct from lakes and wetlands in water chemistry. We also compared how ecosystem metrics related to three variables often seen in waterbody definitions: waterbody size, maximum depth, and emergent vegetation cover. Most ecosystem metrics (e.g., water chemistry, gas fluxes, and metabolism) exhibited nonlinear relationships with these variables, with average threshold changes at 3.7 ± 1.8 ha (median: 1.5 ha) in surface area, 5.8 ± 2.5 m (median: 5.2 m) in depth, and 13.4 ± 6.3% (median: 8.2%) emergent vegetation cover. We use this evidence and prior definitions to define ponds as waterbodies that are small (< 5 ha), shallow (< 5 m), with < 30% emergent vegetation and we highlight areas for further study near these boundaries. This definition will inform the science, policy, and management of globally abundant and ecologically significant pond ecosystems.
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Affiliation(s)
- David C Richardson
- Biology Department, State University of New York at New Paltz, New Paltz, NY, USA.
| | - Meredith A Holgerson
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA
| | - Matthew J Farragher
- School of Biology and Ecology, Climate Change Institute, University of Maine, Orono, ME, USA
| | - Kathryn K Hoffman
- Departments of Biology and Environmental Studies, St. Olaf College, Northfield, MN, USA
| | - Katelyn B S King
- Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI, USA
| | - María B Alfonso
- Instituto Argentino de Oceanografía (IADO), Universidad Nacional del Sur (UNS)-CONICET, Florida 8000, Complejo CCT CONICET Bahía Blanca, Edificio E1, B8000BFW, Bahía Blanca, Argentina
| | - Mikkel R Andersen
- Centre for Freshwater and Environmental Studies, Dundalk Institute of Technology, Dundalk, Ireland
| | - Kendra Spence Cheruveil
- Department of Fisheries and Wildlife and the Lyman Briggs College, Michigan State University, East Lansing, MI, USA
| | | | - Mary Jade Farruggia
- Department of Environmental Science and Policy, University of California, Davis, Davis, CA, USA
| | - Rocio Luz Fernandez
- National Scientific and Technical Research Council (CONICET), Cordoba, Argentina
| | - Kelly L Hondula
- Battelle, National Ecological Observatory Network (NEON), Boulder, CO, USA
| | - Gregorio A López Moreira Mazacotte
- Department of Ecohydrology and Biogeochemistry, Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB), Müggelseedamm 310, 12587, Berlin, Germany
| | - Katherine Paul
- Biology Department, State University of New York at New Paltz, New Paltz, NY, USA
| | | | - Joseph S Rabaey
- Department of Ecology, Evolution, and Behavior, University of Minnesota-Twin Cities, St. Paul, MN, USA
| | - Steven Sadro
- Department of Environmental Science and Policy, University of California, Davis, Davis, CA, USA
| | | | - Robyn L Smyth
- Environmental and Urban Studies, Bard College, Annandale-on-Hudson, NY, USA
| | - Jon N Sweetman
- Department of Ecosystem Science and Management, Penn State University, University College, PA, USA
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5
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Manning DWP, Sullivan SMP. Conservation Across Aquatic-Terrestrial Boundaries: Linking Continental-Scale Water Quality to Emergent Aquatic Insects and Declining Aerial Insectivorous Birds. Front Ecol Evol 2021. [DOI: 10.3389/fevo.2021.633160] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Larval aquatic insects are used to assess water quality, but less attention is paid to their adult, terrestrial life stage, which is an important food resource for declining aerial insectivorous birds. We used open-access water-quality, aquatic-invertebrate, and bird-survey data to study how impaired water quality can emanate from streams and lakes through changes in aquatic insect communities across the contiguous United States. Emergent insect relative abundance was highest across the West, in northern New England, and the Carolinas in streams, and highest near the Great Lakes, parts of the Southwest, and northern New England for lakes. Emergent insects declined with sedimentation, roads, and elevated ammonium concentrations in streams, but not lakes. The odds that a given taxon would be non-emergent increased by up to 2.0× as a function of pollution tolerance, underscoring the sensitivity of emergent aquatic insects to water-quality impairment. However, relationships between bird populations and emergent insects were generally weak for both streams and lakes. For streams, we observed the strongest positive relationships for a mixture of upland and riparian aerial insectivorous birds such as Western Wood-Pewee, Olive-sided Flycatcher, and Acadian Flycatcher and the strongest negative association for Purple Martin. Different avian insectivores responded to emergent insect abundances in lakes (e.g., Barn Swallow, Chimney Swift, Eastern Wood-Pewee, Common Nighthawk). In both streams and lakes, we observed stronger, but opposing, relationships between several aerial insectivores and the relative abundance of sensitive insect orders (E)phemeroptera, (P)lecoptera, and (T)richoptera (positive), and pollution tolerant individuals (negative). Overall, our findings indicate that emergent insects are negatively correlated with pollution tolerance, suggesting a large-scale loss of this nutritional subsidy to terrestrial environments from impaired aquatic ecosystems. While some bird populations tracked scarcities of emergent aquatic insects, especially EPT taxa, responses varied among species, suggesting that unique habitat and foraging behaviors likely complicated these relationships. Strengthening spatial and temporal concordance between emergent-insect and bird-survey data will improve our ability to interpret species-level responses over time. Thus, our analysis highlights the need for developing conservation and biomonitoring strategies that consider the cross-ecosystem effects of water quality declines for threatened insectivorous avifauna and other terrestrial wildlife.
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6
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Feio MJ, Hughes RM, Callisto M, Nichols SJ, Odume ON, Quintella BR, Kuemmerlen M, Aguiar FC, Almeida SF, Alonso-EguíaLis P, Arimoro FO, Dyer FJ, Harding JS, Jang S, Kaufmann PR, Lee S, Li J, Macedo DR, Mendes A, Mercado-Silva N, Monk W, Nakamura K, Ndiritu GG, Ogden R, Peat M, Reynoldson TB, Rios-Touma B, Segurado P, Yates AG. The Biological Assessment and Rehabilitation of the World's Rivers: An Overview. WATER 2021; 13:371. [PMID: 33868721 PMCID: PMC8048141 DOI: 10.3390/w13030371] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/05/2022]
Abstract
The biological assessment of rivers i.e., their assessment through use of aquatic assemblages, integrates the effects of multiple-stressors on these systems over time and is essential to evaluate ecosystem condition and establish recovery measures. It has been undertaken in many countries since the 1990s, but not globally. And where national or multi-national monitoring networks have gathered large amounts of data, the poor water body classifications have not necessarily resulted in the rehabilitation of rivers. Thus, here we aimed to identify major gaps in the biological assessment and rehabilitation of rivers worldwide by focusing on the best examples in Asia, Europe, Oceania, and North, Central, and South America. Our study showed that it is not possible so far to draw a world map of the ecological quality of rivers. Biological assessment of rivers and streams is only implemented officially nation-wide and regularly in the European Union, Japan, Republic of Korea, South Africa, and the USA. In Australia, Canada, China, New Zealand, and Singapore it has been implemented officially at the state/province level (in some cases using common protocols) or in major catchments or even only once at the national level to define reference conditions (Australia). In other cases, biological monitoring is driven by a specific problem, impact assessments, water licenses, or the need to rehabilitate a river or a river section (as in Brazil, South Korea, China, Canada, Japan, Australia). In some countries monitoring programs have only been explored by research teams mostly at the catchment or local level (e.g., Brazil, Mexico, Chile, China, India, Malaysia, Thailand, Vietnam) or implemented by citizen science groups (e.g., Southern Africa, Gambia, East Africa, Australia, Brazil, Canada). The existing large-extent assessments show a striking loss of biodiversity in the last 2-3 decades in Japanese and New Zealand rivers (e.g., 42% and 70% of fish species threatened or endangered, respectively). A poor condition (below Good condition) exists in 25% of South Korean rivers, half of the European water bodies, and 44% of USA rivers, while in Australia 30% of the reaches sampled were significantly impaired in 2006. Regarding river rehabilitation, the greatest implementation has occurred in North America, Australia, Northern Europe, Japan, Singapore, and the Republic of Korea. Most rehabilitation measures have been related to improving water quality and river connectivity for fish or the improvement of riparian vegetation. The limited extent of most rehabilitation measures (i.e., not considering the entire catchment) often constrains the improvement of biological condition. Yet, many rehabilitation projects also lack pre-and/or post-monitoring of ecological condition, which prevents assessing the success and shortcomings of the recovery measures. Economic constraints are the most cited limitation for implementing monitoring programs and rehabilitation actions, followed by technical limitations, limited knowledge of the fauna and flora and their life-history traits (especially in Africa, South America and Mexico), and poor awareness by decision-makers. On the other hand, citizen involvement is recognized as key to the success and sustainability of rehabilitation projects. Thus, establishing rehabilitation needs, defining clear goals, tracking progress towards achieving them, and involving local populations and stakeholders are key recommendations for rehabilitation projects (Table 1). Large-extent and long-term monitoring programs are also essential to provide a realistic overview of the condition of rivers worldwide. Soon, the use of DNA biological samples and eDNA to investigate aquatic diversity could contribute to reducing costs and thus increase monitoring efforts and a more complete assessment of biodiversity. Finally, we propose developing transcontinental teams to elaborate and improve technical guidelines for implementing biological monitoring programs and river rehabilitation and establishing common financial and technical frameworks for managing international catchments. We also recommend providing such expert teams through the United Nations Environment Program to aid the extension of biomonitoring, bioassessment, and river rehabilitation knowledge globally.
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Affiliation(s)
- Maria João Feio
- Department of Life Sciences, MARE-Marine and Environmental Sciences Centre, University of Coimbra, 3000-456 Coimbra, Portugal
| | - Robert M. Hughes
- Amnis Opes Institute, Corvallis, OR 97333, USA
- Department of Fisheries & Wildlife, Oregon State University, Corvallis, OR 97331, USA
| | - Marcos Callisto
- Laboratory of Ecology of Benthos, Department of Genetic, Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Avenida Antônio Carlos 6627, CEP 31270-901 Belo Horizonte, MG, Brazil
| | - Susan J. Nichols
- Centre for Applied Water Science, Institute for Applied Ecology, University of Canberra, 2601 Canberra, Australia
| | - Oghenekaro N. Odume
- Unilever Centre for Environmental Water Quality, Institute for Water Research, Rhodes University, P.O. Box 94, Grahamstown 6140, South Africa
| | - Bernardo R. Quintella
- MARE—Marine and Environmental Sciences Centre, University of Évora, 7000-812 Évora, Portugal
- Department of Animal Biology, Faculty of Sciences of the University of Lisbon, Campo Grande, 1749-016 Lisboa, Portugal
| | - Mathias Kuemmerlen
- Department of Zoology, School of Natural Sciences, Trinity Centre for the Environment, Trinity College Dublin, The University of Dublin, College Green, Dublin 2, Ireland
| | - Francisca C. Aguiar
- Centro de Estudos Florestais, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, 1349-017 Lisboa, Portugal
| | - Salomé F.P. Almeida
- Department of Biology and GeoBioTec—GeoBioSciences, GeoTechnologies and GeoEngineering Research Centre, University of Aveiro, Campus de Santiago, 3810-193 Aveiro, Portugal
| | - Perla Alonso-EguíaLis
- Mexican Institute of Water Technology, Bioindicators Laboratory, Jiutepec Morelos 62550, Mexico
| | - Francis O. Arimoro
- Department of Animal and Environmental Biology (Applied Hydrobiology Unit), Federal University of Technology, P.M.B. 65 Minna, Nigeria
| | - Fiona J. Dyer
- Centre for Applied Water Science, Institute for Applied Ecology, University of Canberra, 2601 Canberra, Australia
| | - Jon S. Harding
- School of Biologcal Sciences, University of Canterbury, 8140 Christchurch, New Zealand
| | - Sukhwan Jang
- Department of Civil Engineering, Daejin University, Hoguk-ro, Pocheon-si 1007, Gyeonggi-do, Korea
| | - Philip R. Kaufmann
- Department of Fisheries & Wildlife, Oregon State University, Corvallis, OR 97331, USA
- Pacific Ecological Systems Division, Center for Public Health and Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, Corvallis, OR 97333, USA
| | - Samhee Lee
- Korea Institute of Civil Engineering and Building Technology (KICT), 283 Goyangdaero, Ilsanseo-gu, Goyang-si 10223, Gyeonggi-do, Korea
| | - Jianhua Li
- Key Laboratory of Yangtze River Water Environment, Ministry of Education of China, Tongji University, Shanghai 200092, China
| | - Diego R. Macedo
- Department of Geography, Geomorphology and Water Resources Laboratory, Institute of Geosciences, Federal University of Minas Gerais, Avenida Antônio Carlos 6627, CEP 31270-901 Belo Horizonte, MG, Brazil
| | - Ana Mendes
- MED—Instituto Mediterrâneo para a Agricultura, Ambiente e Desenvolvimento, LabOr—Laboratório de Ornitologia, Universidade de Évora, Polo da Mitra, 7002-774 Évora, Portugal
| | - Norman Mercado-Silva
- Centro de Investigación en Biodiversidad y Conservacíon, Universidad Autónoma del Estado de Morelos, Cuernavaca, 62209 Morelos, Mexico
| | - Wendy Monk
- Environment and Climate Change Canada and, Canadian Rivers Institute, Faculty of Forestry and Environmental Management, University of New Brunswick, Fredericton, NB E3B 5A3, Canada
| | - Keigo Nakamura
- Water Environment Research Group, Public Works Research Institute, 1-6 Minamihara, Tsukuba 305-8516, Japan
| | - George G. Ndiritu
- School of Natural Resources and Environmental Studies, Karatina University, P.O. Box 1957, 10101 Karatina, Kenya
| | - Ralph Ogden
- Environment, Planning and Sustainable Development Directorate, 2601 Canberra, Australia
| | - Michael Peat
- Wetlands, Policy and Northern Water Use Branch, Commonwealth Environmental Water Office, 2601 Canberra, Australia
| | | | - Blanca Rios-Touma
- Grupo de Investigación en Biodiversidad, Medio Ambiente y Salud (BIOMAS), Facultad de Ingenierías y Ciencias Aplicadas, Ingeniería Ambiental, Universidad de Las Américas, Vía Nayón S/N, 170503 Quito, Ecuador
| | - Pedro Segurado
- Department of Animal Biology, Faculty of Sciences of the University of Lisbon, Campo Grande, 1749-016 Lisboa, Portugal
| | - Adam G. Yates
- Department of Geography, Western University and Canadian Rivers Institute, London, ON N6A 5C2, Canada
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7
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Stevens LE, Schenk ER, Springer AE. Springs ecosystem classification. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2021; 31:e2218. [PMID: 32799393 DOI: 10.1002/eap.2218] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2019] [Revised: 12/07/2019] [Accepted: 02/10/2020] [Indexed: 06/11/2023]
Abstract
Springs ecosystems are globally abundant, geomorphologically diverse, and bio-culturally productive, but are highly imperiled by anthropogenic activities. More than a century of scientific discussion about the wide array of ecohydrological factors influencing springs has been informative, but has yielded little agreement on their classification. This lack of agreement has contributed to the global neglect and degradation of springs ecosystems by the public, scientific, and management communities. Here we review the historical literature on springs classification variables, concluding that site-specific source geomorphology remains the most diagnostic approach. We present a conceptual springs ecosystem model that clarifies the central role of geomorphology in springs ecosystem development, function, and typology. We present an illustrated dichotomous key to terrestrial (non-marine) springs ecosystem types and subtypes, and describe those types. We identify representative reference sites, although data limitations presently preclude selection of continentally or globally representative reference springs of each type. We tested the classification key using data from 244 randomly selected springs of 13 types that were inventoried in western North America. The dichotomous key correctly identified springs type in 87.5% of the cases, with discrepancies primarily due to differentiation of primary vs. secondary typology, and insufficient inventory team training. Using that information, we identified sources of confusion and clarified the key. Among the types that required more detailed explanation were hypocrenes, springs in which groundwater is expressed through phreatophytic vegetation. Overall, springs biodiversity and ecosystem complexity are due, in part, to the co-occurrence of multiple intra-springs microhabitats. We describe microhabitats that are commonly associated with different springs types, reporting at least 13 microhabitats, each of which can support discrete biotic assemblages. Interdisciplinary agreement on basic classification is needed to enhance scientific understanding and stewardship of springs ecosystems, the loss and degradation of which constitute a global conservation crisis.
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Affiliation(s)
- Lawrence E Stevens
- Museum of Northern Arizona Springs Stewardship Institute, 3101 North Fort Valley Road, Flagstaff, Arizona, 86001, USA
| | - Edward R Schenk
- Museum of Northern Arizona Springs Stewardship Institute, 3101 North Fort Valley Road, Flagstaff, Arizona, 86001, USA
| | - Abraham E Springer
- School of Earth Sciences and Sustainability, Northern Arizona University, Flagstaff, Arizona, 86001, USA
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8
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Sullivan SMP, Rains MC, Rodewald AD, Buzbee WW, Rosemond AD. Distorting science, putting water at risk. Science 2020; 369:766-768. [PMID: 32792380 DOI: 10.1126/science.abb6899] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Affiliation(s)
- S Mažeika Patricio Sullivan
- Schiermeier Olentangy River Wetland Research Park, School of Environment and Natural Resources, The Ohio State University, Columbus, OH, USA.
| | - Mark C Rains
- School of Geosciences, University of South Florida, Tampa, FL, USA
| | - Amanda D Rodewald
- Cornell Lab of Ornithology, Cornell University, Ithaca, NY, USA.,Department of Natural Resources, Cornell University, Ithaca, NY, USA
| | - William W Buzbee
- Georgetown University Law Center, Georgetown University, Washington, DC, USA
| | - Amy D Rosemond
- Odum School of Ecology, University of Georgia, Athens, GA, USA
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9
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What’s in a Name? Patterns, Trends, and Suggestions for Defining Non-Perennial Rivers and Streams. WATER 2020. [DOI: 10.3390/w12071980] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Rivers that cease to flow are globally prevalent. Although many epithets have been used for these rivers, a consensus on terminology has not yet been reached. Doing so would facilitate a marked increase in interdisciplinary interest as well as critical need for clear regulations. Here we reviewed literature from Web of Science database searches of 12 epithets to learn (Objective 1—O1) if epithet topics are consistent across Web of Science categories using latent Dirichlet allocation topic modeling. We also analyzed publication rates and topics over time to (O2) assess changes in epithet use. We compiled literature definitions to (O3) identify how epithets have been delineated and, lastly, suggest universal terms and definitions. We found a lack of consensus in epithet use between and among various fields. We also found that epithet usage has changed over time, as research focus has shifted from description to modeling. We conclude that multiple epithets are redundant. We offer specific definitions for three epithets (non-perennial, intermittent, and ephemeral) to guide consensus on epithet use. Limiting the number of epithets used in non-perennial river research can facilitate more effective communication among research fields and provide clear guidelines for writing regulatory documents.
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10
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Busch MH, Costigan KH, Fritz KM, Datry T, Krabbenhoft CA, Hammond JC, Zimmer M, Olden JD, Burrows RM, Dodds WK, Boersma KS, Shanafield M, Kampf SK, Mims MC, Bogan MT, Ward AS, Rocha MP, Godsey S, Allen GH, Blaszczak JR, Jones CN, Allen DC. What's in a Name? Patterns, Trends, and Suggestions for Defining Non-Perennial Rivers and Streams. WATER 2020; 12:1980. [PMID: 33274073 PMCID: PMC7707420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Rivers that cease to flow are globally prevalent. Although many epithets have been used for these rivers, a consensus on terminology has not yet been reached. Doing so would facilitate a marked increase in interdisciplinary interest as well as critical need for clear regulations. Here we reviewed literature from Web of Science database searches of 12 epithets to learn (Objective 1-O1) if epithet topics are consistent across Web of Science categories using latent Dirichlet allocation topic modeling. We also analyzed publication rates and topics over time to (O2) assess changes in epithet use. We compiled literature definitions to (O3) identify how epithets have been delineated and, lastly, suggest universal terms and definitions. We found a lack of consensus in epithet use between and among various fields. We also found that epithet usage has changed over time, as research focus has shifted from description to modeling. We conclude that multiple epithets are redundant. We offer specific definitions for three epithets (non-perennial, intermittent, and ephemeral) to guide consensus on epithet use. Limiting the number of epithets used in non-perennial river research can facilitate more effective communication among research fields and provide clear guidelines for writing regulatory documents.
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Affiliation(s)
- Michelle H. Busch
- Department of Biology, University of Oklahoma, Norman, OK 73072, USA
| | - Katie H. Costigan
- School of Geosciences, University of Louisiana, Lafayette, LA 70504, USA
| | - Ken M. Fritz
- Office of Research and Development, U.S. Environmental Protection Agency, Cincinnati, OH 45220, USA
| | - Thibault Datry
- INRAE, UR RiverLY, Centre Lyon-Villeurbanne, CEDEX 69100 Villeurbanne, France
| | - Corey A. Krabbenhoft
- College of Arts and Sciences and RENEW Institute, University at Buffalo, Buffalo, NY 14228, USA
| | - John C. Hammond
- Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO 80526, USA
| | - Margaret Zimmer
- Department of Earth and Planetary Sciences, University of California, Santa Cruz, CA 95064, USA
| | - Julian D. Olden
- School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA 98105, USA
| | - Ryan M. Burrows
- School of Ecosystem and Forest Sciences, The University of Melbourne, Burnley, VIC 3010, Australia
- Melbourne Water, Docklands 3005, VIC 3008, Australia
| | - Walter K. Dodds
- Division of Biology, Kansas State University, Manhattan, KS 66506, USA
| | - Kate S. Boersma
- Department of Biology, University of San Diego, San Diego, CA 92110, USA
| | - Margaret Shanafield
- College of Science and Engineering, Flinders University, Adelaide 5042, Australia
| | - Stephanie K. Kampf
- Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO 80526, USA
| | - Meryl C. Mims
- Department of Biological Sciences, Virginia Tech, Blacksburg, VA 24060, USA
| | - Michael T. Bogan
- School of Natural Resources and the Environment, University of Arizona, Tucson, AZ 85721, USA
| | - Adam S. Ward
- O’Neill School of Public and Environmental Affairs, Indiana University, Bloomington, IN 47405, USA
| | | | - Sarah Godsey
- Department of Geosciences, Idaho State University, Pocatello, ID 83209, USA
| | - George H. Allen
- Department of Geography, Texas A&M University, College Station, TX 77843, USA
| | - Joanna R. Blaszczak
- Department of Natural Resources and Environmental Science, University of Nevada, Reno, NV 89557, USA
| | - C. Nathan Jones
- Department of Biological Science, University of Alabama, Tuscaloosa, AL 35401, USA
| | - Daniel C. Allen
- Department of Biology, University of Oklahoma, Norman, OK 73072, USA
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Armstrong A, Stedman RC. Thinking Upstream: How Do Landowner Attitudes Affect Forested Riparian Buffer Coverage? ENVIRONMENTAL MANAGEMENT 2020; 65:689-701. [PMID: 32086548 DOI: 10.1007/s00267-020-01271-y] [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: 12/09/2019] [Accepted: 02/12/2020] [Indexed: 06/10/2023]
Abstract
Little is known about the conservation of intermittent and ephemeral streams on private lands despite the importance of these waterways for ecosystem and hydrologic outcomes. Our case study of a watershed of central New York State considers landowners' attitudes toward perennial and intermittent streams on their property. We combine social science survey responses with aerial imagery to assess the underlying drivers of landowners' attitudes about their streams, and the extent to which these attitudes shape riparian conservation behaviors on their properties. We find that stream flow regularity directly and positively shapes landowners' stream attitudes, with landowners of perennially flowing streams holding their streams in higher regard than landowners with streams of intermittent flows. Landowners with forest and wetlands as the primary land cover had more riparian buffer coverage on their properties than agricultural landowners. Landowners with a weaker perceived land use efficacy also had greater buffer coverage. Our findings suggest that landowners in headwater regions do not perceive their influence on downstream water quality, and that outreach efforts should emphasize the importance and conservation of headwater streams and associated water quality outcomes.
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