Angela Gurnell, Walter Bertoldi, Robert A. Francis, Geraldene Wharton
{"title":"Special issue: Fluvial biogeomorphology","authors":"Angela Gurnell, Walter Bertoldi, Robert A. Francis, Geraldene Wharton","doi":"10.1002/rra.4330","DOIUrl":"https://doi.org/10.1002/rra.4330","url":null,"abstract":"","PeriodicalId":21513,"journal":{"name":"River Research and Applications","volume":"1 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141586131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Featured Cover","authors":"A. M. Gurnell, W. Bertoldi","doi":"10.1002/rra.4342","DOIUrl":"https://doi.org/10.1002/rra.4342","url":null,"abstract":"The cover image is based on the Research Article <jats:italic>Plants and river morphodynamics: The emergence of fluvial biogeomorphology</jats:italic> by A. M. Gurnell and W. Bertoldi, <jats:ext-link xmlns:xlink=\"http://www.w3.org/1999/xlink\" xlink:href=\"https://doi.org/10.1002/rra.4271\">https://doi.org/10.1002/rra.4271</jats:ext-link>. <jats:boxed-text content-type=\"graphic\" position=\"anchor\"><jats:graphic xmlns:xlink=\"http://www.w3.org/1999/xlink\" mimetype=\"image/png\" position=\"anchor\" specific-use=\"enlarged-web-image\" xlink:href=\"graphic/rra4342-gra-0001-m.png\"><jats:alt-text>image</jats:alt-text></jats:graphic></jats:boxed-text>","PeriodicalId":21513,"journal":{"name":"River Research and Applications","volume":"30 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141586132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Celebrating the career of Angela Gurnell","authors":"G. Wharton, W. Bertoldi, R. A. Francis","doi":"10.1002/rra.4328","DOIUrl":"https://doi.org/10.1002/rra.4328","url":null,"abstract":"This Special Issue arose from a 1‐day international workshop on the theme of <jats:italic>Fluvial Biogeomorphology</jats:italic> to mark Professor Angela Gurnell's official retirement. As co‐editors, we felt this Special Issue also afforded an opportunity which we could not let pass by to capture some key aspects of Angela's inspiring and impactful career to date. We have written this Preface to accompany the main Editorial as a celebration of Angela's distinguished career and the many contributions Angela has made to physical geography and in particular fluvial geomorphology. We present an overview of Angela's career, insights into key research areas and contributions through a consideration of her publications, and her work inspiring early career researchers through PhD supervision before some final, more personal, reflections.","PeriodicalId":21513,"journal":{"name":"River Research and Applications","volume":"88 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141586221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Reuben B. Smit, Damon H. Goodman, Josh Boyce, Nicholas A. Som
{"title":"Effects of 2D hydrodynamic model resolution on habitat estimates for rearing Coho Salmon in contrasting channel forms","authors":"Reuben B. Smit, Damon H. Goodman, Josh Boyce, Nicholas A. Som","doi":"10.1002/rra.4341","DOIUrl":"https://doi.org/10.1002/rra.4341","url":null,"abstract":"Estimating the impacts of water allocation decisions on fish populations and habitat availability is an important part of environmental flow assessments, especially in locations where water resources are limited. Two‐dimensional hydrodynamic models (2DHMs) are commonly coupled with biological models to estimate fish habitat quality, area, and capacity across a range of proposed streamflows. Increasingly, resource managers are relying on landscape‐scale model domains with coarse model resolutions to maintain feasible computational loads, but this may affect habitat estimates if the mesh element size of the model exceeds the spatial scale relevant to the organism. We investigated how coarsening the resolution of a 2DHM influences the area and spatial distribution of estimated Coho Salmon (<jats:italic>Oncorhynchus kisutch</jats:italic>) fry habitats. We used an interpolation scheme that upscaled mesh elements from a high‐resolution (0.25 m<jats:sup>2</jats:sup>) 2DHM to quantify and visualize the effects of 2DHM resolution on estimates of Coho Salmon fry habitat for two contrasting channel morphologies and across a broad range of streamflows. Estimates of Coho Salmon fry habitat at increasingly coarser resolutions led to 20%–50% reductions in weighted usable habitat area (WUA) across several streamflow scenarios for a complex channel type, but did not impact estimates in a confined, flume‐like channel. Additionally, flow‐to‐habitat area relationships were not congruent at a given streamflow when resolution coarsened. Along with almost 500% more high‐quality habitat area estimated in the complex channel type over the confined, discrepancies in habitat area increased with higher flows in areas defined as optimal for rearing Coho Salmon fry. Considering that complex channel types contain critical habitat for Coho Salmon fry, this study suggests coarse 2DHM resolutions may exclude important wetted edge and off‐channel habitats from environmental flow assessments.","PeriodicalId":21513,"journal":{"name":"River Research and Applications","volume":"14 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141568225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Bias and variation in salmonid redd counting using remotely piloted vehicles","authors":"Daniel S. Auerbach, Alexander K. Fremier","doi":"10.1002/rra.4343","DOIUrl":"https://doi.org/10.1002/rra.4343","url":null,"abstract":"Redd surveys estimate spawning population size for many salmonid species. Studies of field‐based redd counting methods highlight observer bias caused by redd density, observer experience, and environmental factors. Researchers have begun using remotely piloted vehicles (RPVs, drones) to count redds; yet, no studies have quantified bias and variability in counts. This study aimed to quantify the influence of redd density, observer experience, and environmental factors (namely, water clarity) on redd counting bias and variability when using RPVs. We found that technological and procedural improvements from our previous study increased precision and reduced variability among observers (coefficient of variation, <jats:italic>с</jats:italic><jats:sub>υ</jats:sub> = 11% compared to <jats:italic>с</jats:italic><jats:sub>υ</jats:sub> = 42%). Redd density was the leading covariate causing differences between RPV and both “best counts” (<jats:italic>p</jats:italic> < 0.05) and field counts (<jats:italic>p</jats:italic> < 0.05). We found a reduction in variability with experience level (no experience <jats:italic>с</jats:italic><jats:sub>υ</jats:sub> = 78%; semi‐experienced <jats:italic>с</jats:italic><jats:sub>υ</jats:sub> = 33%; experienced <jats:italic>с</jats:italic><jats:sub>υ</jats:sub> = 20%), with no directional bias in counting. Our paper is the first to quantify observer bias in RPV‐based redd counts. This study describes RPV methods and can help agencies decide how to use RPVs in redd counting and incorporate RPV methods into long‐term datasets.","PeriodicalId":21513,"journal":{"name":"River Research and Applications","volume":"8 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141568226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Benjamin J. Miller, Mark C. McKinstry, Phaedra Budy, Casey A. Pennock
{"title":"Wood you believe it? Experimental addition of nonnative wood enhances instream habitat for native dryland fishes","authors":"Benjamin J. Miller, Mark C. McKinstry, Phaedra Budy, Casey A. Pennock","doi":"10.1002/rra.4334","DOIUrl":"https://doi.org/10.1002/rra.4334","url":null,"abstract":"Flow alteration and riparian vegetation encroachment are causing habitat simplification with severe consequences for native fishes. To assess the effectiveness of enhancing simplified habitat in a large dryland river, we experimentally added invasive wood at 19 paired treatment and reference (no wood added) subreaches (50–100 m) within the main channel of the San Juan River. Using a before‐after‐control‐impact design, we sampled fishes and macroinvertebrates, and quantified habitat complexity. After wood addition, total native fish densities were 2.2× higher in treatments compared with references, whereas total nonnative fish densities exhibited no response. Macroinvertebrate densities were 6.8× higher, and habitat complexity increased in treatments. Counts of geomorphic features in treatments increased from 1 to a maximum of 11 following wood addition, while the number of features in references remained unchanged. Wood addition has potential to instigate natural riverine processes, ultimately enhancing native fish habitat by increasing macroinvertebrate densities and habitat complexity in dryland rivers. Water overallocation and increasing aridity will continue to challenge efforts to improve habitat conditions with environmental flows alone, and managers might consider integrating non‐flow alternatives like addition of abundant, invasive wood to reduce habitat simplification.","PeriodicalId":21513,"journal":{"name":"River Research and Applications","volume":"54 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141568227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Findings from a National Survey of Canadian perspectives on predicting river channel migration and river bank erosion","authors":"C. Kupferschmidt, A. D. Binns","doi":"10.1002/rra.4336","DOIUrl":"https://doi.org/10.1002/rra.4336","url":null,"abstract":"River bank erosion and river channel migration are geomorphic processes that can result in significant hazards when there are impacts to humans or infrastructure. Unlike flooding, there are limited national guidelines in Canada that provide recommendations on how to best assess riverine erosion hazards. Instead regional and local jurisdictions rely on techniques based on varying levels of policy maturity. The current study presents findings of a nationwide survey on Canadian perspectives on predicting river channel migration and river bank erosion which received more than 40 responses from across Canada. Results showed that predictions were used for a variety of purposes, but that confidence intervals were rarely reported. Aerial imagery and survey‐based methods were the well‐known and widely‐used techniques for predicting river channel migration and river bank erosion. A majority of respondents identified both technical and financial challenges to improving accuracy including client willingness to pay, data quality/cost issues, and hydrologic changes due to land use and climate change. Several recommendations for improving best‐practices are provided, with a focus on the development of erosion datasets, improving data access, and providing additional training opportunities.","PeriodicalId":21513,"journal":{"name":"River Research and Applications","volume":"10 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141551783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jessica M. Orlofske, Brandon R. Wilson, Danielle E. Tesar, Christopher D. Tyrrell, Rachel Headley
{"title":"Fluvial habitat associations of riverine dragonflies (Odonata, Gomphidae) in the Huron Mountains (Michigan, USA)","authors":"Jessica M. Orlofske, Brandon R. Wilson, Danielle E. Tesar, Christopher D. Tyrrell, Rachel Headley","doi":"10.1002/rra.4339","DOIUrl":"https://doi.org/10.1002/rra.4339","url":null,"abstract":"The presence of sediment‐burrowing clubtail dragonflies (Gomphidae) may be directly related to riverine geomorphic properties. Their synchronous emergence behavior, marked by persistent exuviae, allows for the examination of emerging adult‐stage habitats. Here we explore how emerging adult and benthic larvae are related to hydrogeomorphic factors through regression modeling. Nine sites in two subwatersheds of the Huron Mountain region (Michigan, USA) were surveyed during two periods: May/June 2021 and August 2021. Temperature, pH, dissolved oxygen, conductivity, and discharge were measured concurrent with invertebrate surveys, and field samples of total suspended solids, nutrients, and substrate particle size distribution were also taken. In spring, 317 exuviae were collected, including 153 Gomphidae. In August, 45 larvae were collected including 22 Gomphidae. Spearman's rank correlations preceded robust regression analysis to aid variable selection. Although nonsignificant, Gomphidae exuviae were negatively correlated with conductivity, average water depth, and percent sand while non‐Gomphidae exuviae were positively correlated with the same variables. The model selection found the top models for Gomphidae and non‐Gomphidae exuviae abundance to relate to depth and conductivity, while the top model for Gomphidae larvae was with discharge. All single variable models (discharge, width, and percent sand) had similar AICc criterion values when examining their relationship with non‐Gomphidae larval abundance. Our study demonstrates that larvae of several riverine dragonfly taxa in the Huron Mountains co‐occur despite hydrogeomorphic variation, yet, at emergence, specific taxa may be responding to different stream properties. Understanding the habitat requirements of riverine dragonflies and how these potentially shift throughout development can support conservation efforts.","PeriodicalId":21513,"journal":{"name":"River Research and Applications","volume":"24 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141551779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Compounding effects of human activities and climatic changes on the river water temperature evolution mechanism for ecological effects","authors":"Ning He, Wenxian Guo, Xuyang Jiao, Hongxiang Wang","doi":"10.1002/rra.4335","DOIUrl":"https://doi.org/10.1002/rra.4335","url":null,"abstract":"Understanding the drivers and ecological effects of river water temperature (<jats:italic>T</jats:italic><jats:sub>w</jats:sub>) change remains a complex and challenging task in the field of ecohydrology. We developed the extreme‐point symmetric mode decomposition to quantitatively identify the trend, period and mutation of water temperature (<jats:italic>T</jats:italic><jats:sub>w</jats:sub>). The sparrow search algorithm‐long short‐term memory model was constructed to reconstruct the historical <jats:italic>T</jats:italic><jats:sub>w</jats:sub> to quantitatively identify the effects of human activities (HA) and climate change (CC) at different time scales. The random forest method was used to analyse the contribution rates of different meteorological factors and to clarify the main factors. Our results demonstrate that the <jats:italic>T</jats:italic><jats:sub>w</jats:sub> had a cooling trend in the 1980s, and the other decades have a warming trend, and the annual <jats:italic>T</jats:italic><jats:sub>w</jats:sub> distribution shows an obvious ‘unimodal’ distribution. The interannual <jats:italic>T</jats:italic><jats:sub>w</jats:sub> has a short period of 2–3a, 6–12a and a long period of 10–15a. At the interannual scale, as the distance from estuaries decreases, the influence of HA gradually diminishes, and only the great <jats:italic>T</jats:italic><jats:sub>w</jats:sub> is governed by CC. Contributions from HA and CC to <jats:italic>T</jats:italic><jats:sub>w</jats:sub> vary at the seasonal and monthly scales due to geographical differences. In Cuntan, the contribution of HA to <jats:italic>T</jats:italic><jats:sub>w</jats:sub> is greater than that of climatic factors. The contribution rates of climatic and HA in the three regions of Yichang, Hankou and Datong also exhibit their respective characteristics and fluctuation patterns. The maximum temperature is the most important factor affecting the change of <jats:italic>T</jats:italic><jats:sub>w</jats:sub>. Abnormal <jats:italic>T</jats:italic><jats:sub>w</jats:sub> changes result in delayed spawning and characteristic reproduction <jats:italic>T</jats:italic><jats:sub>w</jats:sub> attainment dates for the Four Major Chinese Carps and <jats:italic>Acipenser sinensis</jats:italic>.","PeriodicalId":21513,"journal":{"name":"River Research and Applications","volume":"46 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141503189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sean E. Collins, Margaret E. Moulton, Joseph E. Flotemersch
{"title":"In‐situ measurement of dissolved organic carbon and total organic carbon in fresh surface waters: Lab validation of a portable field meter","authors":"Sean E. Collins, Margaret E. Moulton, Joseph E. Flotemersch","doi":"10.1002/rra.4337","DOIUrl":"https://doi.org/10.1002/rra.4337","url":null,"abstract":"Nonliving organic matter, including organic carbon, in freshwater systems provides energy inputs to food webs and supports various ecosystem functions. Unusually high organic carbon levels can occur naturally in aquatic habitats such as wetlands and blackwater rivers and streams. However, values may also be high due to anthropogenic influences. In recent years, increasing levels of organic carbon have been observed and suggested as drivers of brownification and increased observation of foam on surface waters. Total organic carbon (TOC) and dissolved organic carbon (DOC) are not commonly included in field studies of aquatic ecosystems because of sampling logistics and resources required for laboratory measurement. As a potential alternative to laboratory analysis, we evaluated the effectiveness of a portable field meter by comparing laboratory results to data collected in situ. Comparisons were made at 43 surface water sites across northern West Virginia. At each of these sites, a field measurement was recorded using a Real TOC/DOC Field Meter, and a water sample was collected and transported for laboratory measurement using a Shimadzu TOC‐V analyzer. Data from the laboratory and field for each site were compared using bivariate analysis and concordance correlation on matched pairs. Poor agreement existed between field and lab measurements, so a novel data model was created using laboratory‐derived data for further comparison. Substantial accuracy was achieved using the new data model. This suggests that the Real TOC/DOC Field Meter is a viable instrument for field measurement of organic carbon in aquatic ecosystems and may aid in monitoring and management decisions.","PeriodicalId":21513,"journal":{"name":"River Research and Applications","volume":"26 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141523603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}