{"title":"Unravelling the Effects of Climate Extremes and Land Use on Greenhouse Gas Emissions in the Yangtze River Riparian: Soil Columns Experiments","authors":"Kemal Adem Abdela, Shun Li, Qiong Zhang, Giri Kattel, Jun-Ming Wu, Xiaoqiao Tang, Zhi-Guo Yu","doi":"10.1002/eco.70033","DOIUrl":"https://doi.org/10.1002/eco.70033","url":null,"abstract":"<div>\u0000 \u0000 <p>River riparian basins play a crucial role in mitigating greenhouse gas (GHG) emissions through carbon sequestration and nitrogen sinks. However, increased ecological stresses led to the release of CO<sub>2</sub>, CH<sub>4</sub> and N<sub>2</sub>O. This study aimed to investigate how extreme temperatures, water levels, moisture content, land use changes and soil composition influence GHG emissions in the riparian corridor and to recommend mitigation techniques. It was carried out at the Yangtze River Riparian zone, China, using soil column testing. It used soil column testing. The results showed that extreme temperatures caused the highest emissions of CO₂ (29–45%), CH₄ (24–43%) and N₂O (27–33%). This was due to increased soil temperatures and accelerated organic carbon/nitrogen decomposition. Conversely, control and wet–dry cycles absorbed CO<sub>2</sub> (1–3%), CH<sub>4</sub> (3–10%) and N<sub>2</sub>O (1–21%) by improving soil aeration, increased oxygen availability, soil structure, stable water table and low temperature change. Grasses in riparian areas also improved carbon sinks. Highest water levels had lowest gas concentrations and emissions due to low oxygen level. Adaptive wet-dry cycles, grass cover and better water table management can restore riparian areas, maintain soil moisture, balance soil carbon/nitrogen levels and mitigate climate change by improving soil quality. Dissolved organic matter fluorescence (DOMFluor) components are essential for soil carbon dynamics, aquatic biome safety, nutrient cycling and ecological balance in riparian zones. The study recommends implementing restoration practices, managing soil moisture, afforestation, regulating temperature and monitoring water tables to mitigate GHG emissions and address climate change. Future policies should focus on promoting resilient land use and ecosystems.</p>\u0000 </div>","PeriodicalId":55169,"journal":{"name":"Ecohydrology","volume":"18 3","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143827012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}
EcohydrologyPub Date : 2025-04-11DOI: 10.1002/eco.70036
Xue Shang, Wenbo Chen, Fuqing Zhang
{"title":"Unveiling the Ecohydrological Pulse: A Dynamic Wind Wave Intensity Model for Poyang Lake Grasslands","authors":"Xue Shang, Wenbo Chen, Fuqing Zhang","doi":"10.1002/eco.70036","DOIUrl":"https://doi.org/10.1002/eco.70036","url":null,"abstract":"<div>\u0000 \u0000 <p>The grassland of Poyang Lake is a typical landscape serving as a critical ecological zone where intricate wind–water interactions significantly influence local biodiversity. However, the energetic and temporal characteristics of wind waves and their driving paths are unknown. This study introduces a wind wave intensity (WWI) model to explore the dynamics of wind wave characteristics and analyses the temporal dynamics of WWI drivers such as water level (WL), water depth (WD), wind velocity (WV), wind orientation (WO) and wind orientation frequency (FQ), and WWI characteristic indices such as wave height (WVH), wavelength (WVL) and flushing distance (FLD) from 2018 to 2020, to reveal the response processes and mechanisms between them. The results are as follows: (1) Cyclical patterns were observed in the drivers, particularly highlighting seasonal variations in WO and FQ. The WWI exhibited a fluctuating pattern with a discernible oscillatory period, indicative of a sophisticated interplay among environmental factors. (2) It was found that WVH, WVL and FLD were predominantly influenced by WL, with negative modulation by WV, WO and FQ. At high WWI levels, a robust negative modulation by WV and WO preceded a highly significant positive modulation of WVH, WVL and FLD by WL. Conversely, at low WWI levels, FQ positively regulated WL, which in turn positively influenced wave characteristics. (3) The driving path model for WWI characteristics underscored the dual role of environmental factors in regulating the ecological landscape. The study's findings emphasize the intricate interplay between wind wave dynamics and landscape ecology, demonstrating how changes in WWI can affect grassland biodiversity through habitat alterations induced by variations in water levels and wave energy. It offers critical insights for forecasting and mitigating potential ecological impacts of wind wave processes, thereby enhancing biodiversity conservation and landscape management efforts in the Poyang Lake region.</p>\u0000 </div>","PeriodicalId":55169,"journal":{"name":"Ecohydrology","volume":"18 3","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143818331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}
EcohydrologyPub Date : 2025-04-07DOI: 10.1002/eco.70024
Kevin Beale, Rafael L. Bras, Justin Romberg
{"title":"Low-Rank Gap Filling and Downscaling for SMAP Soil Moisture Datasets","authors":"Kevin Beale, Rafael L. Bras, Justin Romberg","doi":"10.1002/eco.70024","DOIUrl":"https://doi.org/10.1002/eco.70024","url":null,"abstract":"<p>Soil moisture is the linchpin of the surface hydrologic cycle, controlling the partitioning of water and energy fluxes at the surface. Without it, vegetation, and hence life on the solid Earth as we know it, would not exist. Understanding ecohydrology is understanding the availability of soil moisture to vegetation. Until recently, measuring soil moisture was difficult, expensive, intrusive, and local. NASA's Soil Moisture Active Passive (SMAP) mission changed that by providing global estimates at reasonable frequencies. Ecohydrology and many other hydrologic applications are best when high spatiotemporal resolution soil moisture datasets are available. The SMAP and SMAP-Sentinel soil moisture products currently possess contrasting spatial and temporal resolutions, but their coincident nature presents an opportunity to learn how to enhance the spatial resolution of SMAP retrievals to obtain a global, high spatiotemporal resolution dataset. However, a challenge in learning from SMAP-Sentinel data is the presence of missing pixels. In this work, we propose a low-rank approach to both gap-fill SMAP-Sentinel and downscale SMAP and evaluate its performance globally on both held-out SMAP-Sentinel data and measurements from SMAPVEX validation datasets. The proposed method outperformed baselines globally on SMAP-Sentinel data but had mixed performance against retrievals from airborne measurements. A procedure for filling in missing pixels in SMAP-Sentinel measurements using the low-rank models was found to outperform alternative interpolation methods. Overall, the results show that the proposed method can recover missing pixels in soil moisture measurements and can be used to compute estimates of high-resolution SMAP-Sentinel retrievals from low-resolution SMAP data.</p>","PeriodicalId":55169,"journal":{"name":"Ecohydrology","volume":"18 3","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eco.70024","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143793549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EcohydrologyPub Date : 2025-04-04DOI: 10.1002/eco.70018
Marlene Schürz, Jaime García Márquez, Sami Domisch
{"title":"The Scale-Dependency in Freshwater Habitat Regionalisation Analyses","authors":"Marlene Schürz, Jaime García Márquez, Sami Domisch","doi":"10.1002/eco.70018","DOIUrl":"https://doi.org/10.1002/eco.70018","url":null,"abstract":"<p>Freshwater ecosystems need efficient protection which requires detailed information regarding the spatial distribution of its environmental characteristics, which allows simple habitat suitability assessments for freshwater species. Such characteristics can be assessed with regionalisation analyses, where environmental characteristics are spatially clustered to highlight similarities or disparities across a given study area. While large drainage basins are useful for large-scale estimates, it is equally important to address small streams which contribute most to the stream network length. The question however remains, what is the relative impact of the spatial scale and the choice of variables on regionalisation analyses? We tested for scale- and variable-contingent effects in freshwater habitat clusters using three analysis designs. We used the Hydrography90m high-resolution stream network dataset and aggregated land cover, hydro-geomorphological and climatic variables across the sub-catchments of six drainage basins distributed across continents and climatic zones. We then employed k-means cluster analyses and tested the effect of (i) spatial scale, (ii) the choice of environmental variables and (iii) the combination of scale and variables on the resulting habitat regionalisation. Our results show that similar broad habitat cluster patterns emerged regardless of the analysis design, whereas basin-specific analyses uncovered new smaller habitat clusters. Land cover stood out as the most influential variable regardless of the analysis design. Our findings highlight the importance of addressing the spatial scale in freshwater regionalisation analyses for assessing environmental characteristics that are unique to a given drainage basin, which could provide guidance for an improved mapping of high-resolution freshwater habitat patterns globally.</p>","PeriodicalId":55169,"journal":{"name":"Ecohydrology","volume":"18 3","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eco.70018","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143778335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EcohydrologyPub Date : 2025-04-02DOI: 10.1002/eco.70027
Naeem Ullah, Fida Hussain, Asma Nawaz, Muhammad Saleem Khan, Ghulam Saddiq, Muhammad Zafar, Salman Majeed, Mohamed Fawzy Ramadan, Trobjon Makhkamov, Nasibakhon Naraliyeva, Akramjon Yuldashev, Dilnoza Sotiboldiyeva, Adnan Amin
{"title":"Integrated Ecohydrology and Systems Biology: Algae Morphotypes and Their Role in Freshwater Ecosystem Functioning","authors":"Naeem Ullah, Fida Hussain, Asma Nawaz, Muhammad Saleem Khan, Ghulam Saddiq, Muhammad Zafar, Salman Majeed, Mohamed Fawzy Ramadan, Trobjon Makhkamov, Nasibakhon Naraliyeva, Akramjon Yuldashev, Dilnoza Sotiboldiyeva, Adnan Amin","doi":"10.1002/eco.70027","DOIUrl":"https://doi.org/10.1002/eco.70027","url":null,"abstract":"<div>\u0000 \u0000 <p>The hydrobiological ecosystem and ecohydrology of freshwater algae play a significant role in regulating ecosystem stability by influencing water flow, nutrient cycling and habitat conservation. This study was performed in different unexplored areas of village Kosht (District Chitral), Khyber Pakhtunkhwa (KPK), Pakistan (72°9′0″ E 36°14′0″ N) for detailed morpho-taxonomic description of freshwater algae. The collection was conducted from four distinct habitats in Kosht, including streams, ponds, rivers and wetlands, to provide a comprehensive assessment of the algae species present in the region. Four families, four genera and twenty-seven species have been found in the study area. Out of 27 species, 10 species of <i>Cosmarium</i> (40.74%), 6 species of <i>Synedra</i> (22.22%), 6 species of <i>Pinnularia</i> (22.22%) and 4 species of <i>Scenedesmus</i> (14.81%) were identified. The above-mentioned species have been identified in the research area for the first time. Assessments of the physio-chemical properties of water were also carried out. The result of some of the physico-chemical parameters was pH (7.61), total dissolved solid (939 mg/L), chloride (151.56 mg/L), sulphate (25.95 mg/L), sodium 48, nitrite (3.65 mg/L), total alkalinity (717.99 mg/L), calcium (135.04 mg/L), conductivity (1446) and turbidity (7 NTU). Further studies in the Tehsil Mulkhow-Torkhow, District Upper Chitral, are recommended to investigate the complete algal diversity of the area. The ecohydrological biology of the system provide a framework to understand the algal morphotypes influences freshwater ecosystem functioning mediated nutrient cycling, trophic interactions and hydrodynamic stability. This research should focus on quantifying species specific functional traits, integrating multi-scale modelling approaches and assessing anthropogenic impacts under changing climate.</p>\u0000 </div>","PeriodicalId":55169,"journal":{"name":"Ecohydrology","volume":"18 3","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143762191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}
EcohydrologyPub Date : 2025-03-27DOI: 10.1002/eco.70029
Yao Wu, Pei Wang
{"title":"Decadal Dynamics of Energy Balance and Transpiration Fraction in an Alpine Ecosystem: A Modelling and Observational Study","authors":"Yao Wu, Pei Wang","doi":"10.1002/eco.70029","DOIUrl":"https://doi.org/10.1002/eco.70029","url":null,"abstract":"<div>\u0000 \u0000 <p>Evapotranspiration (<i>ET</i>) is a critical component of the soil–plant–atmosphere continuum, significantly influencing the water and energy balance of ecosystems. However, existing studies on <i>ET</i> have primarily focused on the growing season or specific years, with limited long-term analyses spanning decades. This study aims to analyse the components of <i>ET</i> within the alpine ecosystem of the Heihe River Basin, specifically investigating the dynamics of vegetation transpiration (<i>T</i>) and soil evaporation (<i>Ev</i>). Utilizing the <i>SPAC</i> model and integrating meteorological observations and eddy covariance data from 2013 to 2022, we investigate the impact of solar radiation and vegetation dynamics on <i>ET</i> and its partitioning (<i>T</i>/<i>ET</i>). The agreement between measured and simulated energy fluxes (net radiation and latent energy flux) and soil temperature underscores the validity of the model's performance. Additionally, a comparison employing the underlying water use efficiency method reveals consistent <i>T</i>/<i>ET</i> values during the growing season, further confirming the model's accuracy. Results indicate that the annual average <i>T</i>/<i>ET</i> during the 10-year study period is 0.41 ± 0.03, close to the global average but lower than in warmer, humid regions. Seasonal analysis reveals a significant increase in <i>T</i>/<i>ET</i> during the growing season (April to October), particularly in May and June, coinciding with the thawing of permafrost and increased soil moisture. In addition, the study finds that the leaf area index and canopy stomatal conductance exhibit a logarithmic relationship with <i>T</i>/<i>ET</i>, whereas soil temperature and downward longwave radiation show an exponential relationship with <i>T</i>/<i>ET</i>. This study highlights the importance of understanding the stomatal conductance dynamics and their controls of transpiration process within alpine ecosystems. By providing key insights into the hydrological processes of these environments, it offers guidance for adapting to climate change impacts.</p>\u0000 </div>","PeriodicalId":55169,"journal":{"name":"Ecohydrology","volume":"18 2","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143717102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}
EcohydrologyPub Date : 2025-03-26DOI: 10.1002/eco.70026
Cüneyt Kaya, İsmail Aksu, Sadi Aksu, Mehmet Kocabaş, Irmak Kurtul, Davut Turan
{"title":"Tracing Historical River Connectivity Through Freshwater Fish Assemblages: The Case of Göksu River and Lake Beyşehir","authors":"Cüneyt Kaya, İsmail Aksu, Sadi Aksu, Mehmet Kocabaş, Irmak Kurtul, Davut Turan","doi":"10.1002/eco.70026","DOIUrl":"https://doi.org/10.1002/eco.70026","url":null,"abstract":"<p>The present study documents the first records of <i>Oxynoemacheilus angorae</i> and <i>Oxynoemacheilus eregliensis</i> in the Göksu River within the Mediterranean basin, which points to historical connectivity between the Göksu River and Lake Beyşehir systems. Whereas <i>O. angorae</i> is mainly distributed in the Western Black Sea, Marmara and Lakes Region, <i>O. eregliensis</i>, previously restricted to the Beyşehir basin, Yeşildere region in Central Anatolia and the Manavgat drainage in southern Anatolia, was identified through morphological and molecular analyses (COI barcode), confirming their taxonomic status. A review of topographical data indicates that the headwaters of the Göksu River and the Lake Beyşehir basin are separated by only minor elevation differences, with no significant mountain or hill barriers, highlighting their close proximity. This observation provides evidence that some geological changes may have resulted in partial deflection of the water flow, allowing the dispersion of freshwater species across these systems, ultimately leading to their disjunct distribution. The occurrence of common fish species between them is also indicative of a link in the past and pinpoints the role of geomorphological processes on freshwater diversity.</p>","PeriodicalId":55169,"journal":{"name":"Ecohydrology","volume":"18 2","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eco.70026","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143698920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EcohydrologyPub Date : 2025-03-26DOI: 10.1002/eco.70009
Concetta D'Amato, Riccardo Rigon
{"title":"Elementary Mathematics Helps to Shed Light on the Transpiration Budget Under Water Stress","authors":"Concetta D'Amato, Riccardo Rigon","doi":"10.1002/eco.70009","DOIUrl":"https://doi.org/10.1002/eco.70009","url":null,"abstract":"<p>This paper aims to present a methodology for accurately describing transpiration by employing appropriate physical equations. While some simplifications have been made, including the use of a simplified treatment of turbulence and the neglect of the thermal capacity of transpiring leaves, it is argued that the chosen scheme has general validity in identifying the primary mechanisms governing transpiration. To achieve this objective, a traditional treatment involving five equations, including the mass budget, is used. Initially, a simplified approach that does not consider the water budget is introduced to outline the general procedure to explicitly address canopies. Subsequently, the water budget is incorporated to appropriately account for water stress in transpiration. In this context, a novel linearisation of the extended Clausius–Clapeyron equation, incorporating the Kelvin effect, is employed. It is demonstrated that the well-known Penman formula emerges as one of the solutions within a system of equations, providing estimates for temperature (T), vapor content in air (e) and the thermal transport of heat (H). The method, initially conceived for homogeneous canopies, is expanded to encompass sun–shade canopy layers. By employing the water mass balance, the trade-off between atmospheric evaporation demand and the water delivery capacity of the soil and stem is elucidated. Notably, it is revealed that the pressure potential within leaves is not solely determined by capillarity, but rather represents the dynamic outcome of the intricate interactions within the soil–plant–atmosphere continuum. These findings highlight differences from more simplistic approaches commonly employed, particularly concerning canopies. Overall, this study presents a methodological framework to accurately describe transpiration, incorporating key equations and addressing the complex dynamics involved in the soil–plant–atmosphere continuum, and suggests various directions of research in the field.</p>","PeriodicalId":55169,"journal":{"name":"Ecohydrology","volume":"18 2","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eco.70009","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143707481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EcohydrologyPub Date : 2025-03-26DOI: 10.1002/eco.70005
Sami Ur Rahman, Yingxin Chen, Yuping Su, Huixin Zhang, Saeeda Yousaf, Musarat Riaz, Gohar Ayub, Muhammad Zahir
{"title":"PGIS as a Tool for Reservoir Health Assessment: Community Insights Validated by Laboratory Analysis and Remote Sensing","authors":"Sami Ur Rahman, Yingxin Chen, Yuping Su, Huixin Zhang, Saeeda Yousaf, Musarat Riaz, Gohar Ayub, Muhammad Zahir","doi":"10.1002/eco.70005","DOIUrl":"https://doi.org/10.1002/eco.70005","url":null,"abstract":"<div>\u0000 \u0000 <p>This study employed an innovative participatory geographic information system (PGIS) approach to evaluate the health of reservoirs and their socioecological importance to communities within the Shanzai sub-catchment. The participation rate was 100% in all five communities, with 53% of participants were women. Statiscial analysis shows that algal bloom negatively correlate with less fish productivity and positively with unhealthy reservoir indicators. In contrast, clean water positively correlates with healthy reservoir indicators, while algal blooms consistently show negative correlations with all indicators of healthy reservoir. These findings show current reservoir health, with 41% of participants recognizing reservoirs as healthy, 23% as unhealthy and 36% responded as moderate. Laboratory analysis identified 30 phytoplankton genera, with Cyanophyta as the dominant group. Highest phytoplankton density was observed in May, followed by June and April, providing crucial insights into the seasonal dynamics of reservoir ecosystems. Sentinel-2 imagery further highlighted algal bloom fluctuations, the bloom extent particularly increased during May 2023, supporting water quality measurements and validating algae as a community-identified indicator. This study underlines the value and accuracy of community-driven insights in environmental monitoring. The alignment of participatory mapping, laboratory analyses, and remote sensing demonstrates the efficiency of PGIS in managing freshwater resources. By fostering knowledge exchange, this approach promotes sustainable resource monitoring and conservation. These findings represent a significant contribution to the advancement of reservoir monitoring and underscore the importance of prioritizing community-driven initiatives in environmental research.</p>\u0000 </div>","PeriodicalId":55169,"journal":{"name":"Ecohydrology","volume":"18 2","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143707599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}
EcohydrologyPub Date : 2025-03-26DOI: 10.1002/eco.70030
Young-Jun Kim, Seo-Yeon Park, Kyung A. You, Joo-Heon Lee
{"title":"Evaluating the Effects of River Crossings on Fish Habitats and Connectivity","authors":"Young-Jun Kim, Seo-Yeon Park, Kyung A. You, Joo-Heon Lee","doi":"10.1002/eco.70030","DOIUrl":"https://doi.org/10.1002/eco.70030","url":null,"abstract":"<p>With the growth of urban populations, it has become necessary to develop new urban areas as well as to utilize rivers as water supply resources, which directly impacts human life. Weirs, which are structures built across rivers to regulate stream flow, facilitate human water usage, such as water supply and water level regulation. However, they directly alter the cross-sections of rivers, significantly affecting hydraulic parameters such as flow velocity and water depth. This leads to changes in aquatic habitats, reducing their biodiversity and altering the habitat connectivity of aquatic organisms. This study analysed the changes in habitat connectivity of rivers inhabited by diverse fish populations, considering the presence of weirs, flow regimes and fluvial geomorphological characteristics, to help establish eco-friendly riverine environments that support the coexistence of nature and humans. The analysis revealed that the habitat area, depending on the presence or absence of weirs, varied depending on the flow regime and patch size. In drought flow conditions with smaller patches, the habitat area was larger in the presence of weirs. Conversely, in conditions with flow rates at or above low flow and larger patch sizes, the habitat area was larger without the presence of weirs. Additionally, considering fluvial geomorphological characteristics, sections with medium or low sinuosity and bed slope exhibited a larger preferred habitat area in the absence of weirs. The findings of this study contribute to improving aquatic ecosystem connectivity through the evaluation of habitat connectivity changes based on the presence of weirs and flow regime variations.</p>","PeriodicalId":55169,"journal":{"name":"Ecohydrology","volume":"18 2","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eco.70030","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143698921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}