Sara Taylor, Andrew F. Thompson, Luke Kachelein, Patrice Klein
Kinetic energy (KE) transfer between spatial scales contributes to the ocean's energy budget by linking scales of KE supply and KE dissipation. Numerical simulations have indicated that for scales smaller than the baroclinic deformation radius, cross-scale KE transfer has complex spatial and temporal variability, modulated by mixed layer properties, fronts, and eddies. Here, over a decade of upper-ocean surface velocity data, collected from high-frequency radar within the Santa Barbara Channel, are used to estimate cross-scale KE transfer. The transfer of KE across 7 km has strong seasonal and interannual variations linked to energy exchange with the atmosphere. This study observationally confirms (a) the importance of the surface divergence field in determining the direction of the KE transfer and (b) the equi-partitioning of KE transfer between divergent and straining motions. The temporal variability in KE transfer suggests that surface forcing influences the long-term redistribution of energy between scales.
{"title":"Seasonal to Interannual Cross-Scale Energy Transfer Variability: Observational Insight From the Santa Barbara Channel","authors":"Sara Taylor, Andrew F. Thompson, Luke Kachelein, Patrice Klein","doi":"10.1029/2025GL117885","DOIUrl":"https://doi.org/10.1029/2025GL117885","url":null,"abstract":"<p>Kinetic energy (KE) transfer between spatial scales contributes to the ocean's energy budget by linking scales of KE supply and KE dissipation. Numerical simulations have indicated that for scales smaller than the baroclinic deformation radius, cross-scale KE transfer has complex spatial and temporal variability, modulated by mixed layer properties, fronts, and eddies. Here, over a decade of upper-ocean surface velocity data, collected from high-frequency radar within the Santa Barbara Channel, are used to estimate cross-scale KE transfer. The transfer of KE across 7 km has strong seasonal and interannual variations linked to energy exchange with the atmosphere. This study observationally confirms (a) the importance of the surface divergence field in determining the direction of the KE transfer and (b) the equi-partitioning of KE transfer between divergent and straining motions. The temporal variability in KE transfer suggests that surface forcing influences the long-term redistribution of energy between scales.</p>","PeriodicalId":12523,"journal":{"name":"Geophysical Research Letters","volume":"53 4","pages":""},"PeriodicalIF":4.6,"publicationDate":"2026-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2025GL117885","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146154894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-11DOI: 10.1016/j.jhydrol.2026.135110
Zihan Chen, Boran Zhu, Shilei Zhang, Ruihua Han, Jin Bai, Junqiang Lin, Youzhi Liu, Bo Wang
{"title":"A multiple-interdependency risk assessment model with time-varying reasoning capabilities for long-distance water diversion projects","authors":"Zihan Chen, Boran Zhu, Shilei Zhang, Ruihua Han, Jin Bai, Junqiang Lin, Youzhi Liu, Bo Wang","doi":"10.1016/j.jhydrol.2026.135110","DOIUrl":"https://doi.org/10.1016/j.jhydrol.2026.135110","url":null,"abstract":"","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"91 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2026-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146160587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Orbital forcing regulated Arabian Sea denitrification during the late Pleistocene","authors":"Rahul Pawar, Dharmendra Pratap Singh, Rajeev Saraswat, Abhayanand Singh Maurya","doi":"10.1016/j.gloplacha.2026.105373","DOIUrl":"https://doi.org/10.1016/j.gloplacha.2026.105373","url":null,"abstract":"","PeriodicalId":55089,"journal":{"name":"Global and Planetary Change","volume":"24 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146161084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alexandros C. Cooke-Politikos, Sergey Shuvalov, Yaxue Dong, Yi Qi, David A. Brain, Jasper S. Halekas
At Mars, the MAVEN spacecraft has made observations of Hot Flow Anomalies (HFAs) in the foreshock. Due to the bow shock's proximity to the planet, it is theorized that HFAs contribute to atmospheric escape at Mars through the excavation of ionospheric ions. A case study investigates one HFA observation, with parameters suggesting a novel mechanism for planetary ion extraction. The event is further characterized by elevated number densities of <span data-altimg="/cms/asset/1a45c7bf-c36a-4bab-b8fb-e19131ab5516/grl72041-math-0001.png"></span><mjx-container ctxtmenu_counter="133" ctxtmenu_oldtabindex="1" jax="CHTML" role="application" sre-explorer- style="font-size: 103%; position: relative;" tabindex="0"><mjx-math aria-hidden="true" location="graphic/grl72041-math-0001.png"><mjx-semantics><mjx-mrow><mjx-mrow><mjx-msup data-semantic-children="0,1" data-semantic- data-semantic-role="latinletter" data-semantic-speech="normal upper O Superscript plus" data-semantic-type="superscript"><mjx-mi data-semantic-annotation="clearspeak:simple" data-semantic-font="normal" data-semantic- data-semantic-parent="2" data-semantic-role="latinletter" data-semantic-type="identifier"><mjx-c></mjx-c></mjx-mi><mjx-script style="vertical-align: 0.363em;"><mjx-mo data-semantic- data-semantic-parent="2" data-semantic-role="addition" data-semantic-type="operator" size="s"><mjx-c></mjx-c></mjx-mo></mjx-script></mjx-msup></mjx-mrow></mjx-mrow></mjx-semantics></mjx-math><mjx-assistive-mml display="inline" unselectable="on"><math altimg="urn:x-wiley:00948276:media:grl72041:grl72041-math-0001" display="inline" location="graphic/grl72041-math-0001.png" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mrow><msup data-semantic-="" data-semantic-children="0,1" data-semantic-role="latinletter" data-semantic-speech="normal upper O Superscript plus" data-semantic-type="superscript"><mi data-semantic-="" data-semantic-annotation="clearspeak:simple" data-semantic-font="normal" data-semantic-parent="2" data-semantic-role="latinletter" data-semantic-type="identifier" mathvariant="normal">O</mi><mo data-semantic-="" data-semantic-parent="2" data-semantic-role="addition" data-semantic-type="operator">+</mo></msup></mrow></mrow>${mathrm{O}}^{+}$</annotation></semantics></math></mjx-assistive-mml></mjx-container> and <span data-altimg="/cms/asset/3f883c89-45a8-4785-94e5-474c2fc4584c/grl72041-math-0002.png"></span><mjx-container ctxtmenu_counter="134" ctxtmenu_oldtabindex="1" jax="CHTML" role="application" sre-explorer- style="font-size: 103%; position: relative;" tabindex="0"><mjx-math aria-hidden="true" location="graphic/grl72041-math-0002.png"><mjx-semantics><mjx-mrow><mjx-mrow><mjx-msubsup data-semantic-children="0,1,2" data-semantic-collapsed="(4 (3 0 1) 2)" data-semantic- data-semantic-role="latinletter" data-semantic-speech="normal upper O 2 Superscript plus" data-semantic-type="subsup"><mjx-mi data-semantic-annotation="clearspeak:simple" data-semantic-font="normal" data-semanti
{"title":"Martian Atmospheric Loss Through Foreshock Transient Events","authors":"Alexandros C. Cooke-Politikos, Sergey Shuvalov, Yaxue Dong, Yi Qi, David A. Brain, Jasper S. Halekas","doi":"10.1029/2025gl120618","DOIUrl":"https://doi.org/10.1029/2025gl120618","url":null,"abstract":"At Mars, the MAVEN spacecraft has made observations of Hot Flow Anomalies (HFAs) in the foreshock. Due to the bow shock's proximity to the planet, it is theorized that HFAs contribute to atmospheric escape at Mars through the excavation of ionospheric ions. A case study investigates one HFA observation, with parameters suggesting a novel mechanism for planetary ion extraction. The event is further characterized by elevated number densities of <span data-altimg=\"/cms/asset/1a45c7bf-c36a-4bab-b8fb-e19131ab5516/grl72041-math-0001.png\"></span><mjx-container ctxtmenu_counter=\"133\" ctxtmenu_oldtabindex=\"1\" jax=\"CHTML\" role=\"application\" sre-explorer- style=\"font-size: 103%; position: relative;\" tabindex=\"0\"><mjx-math aria-hidden=\"true\" location=\"graphic/grl72041-math-0001.png\"><mjx-semantics><mjx-mrow><mjx-mrow><mjx-msup data-semantic-children=\"0,1\" data-semantic- data-semantic-role=\"latinletter\" data-semantic-speech=\"normal upper O Superscript plus\" data-semantic-type=\"superscript\"><mjx-mi data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"normal\" data-semantic- data-semantic-parent=\"2\" data-semantic-role=\"latinletter\" data-semantic-type=\"identifier\"><mjx-c></mjx-c></mjx-mi><mjx-script style=\"vertical-align: 0.363em;\"><mjx-mo data-semantic- data-semantic-parent=\"2\" data-semantic-role=\"addition\" data-semantic-type=\"operator\" size=\"s\"><mjx-c></mjx-c></mjx-mo></mjx-script></mjx-msup></mjx-mrow></mjx-mrow></mjx-semantics></mjx-math><mjx-assistive-mml display=\"inline\" unselectable=\"on\"><math altimg=\"urn:x-wiley:00948276:media:grl72041:grl72041-math-0001\" display=\"inline\" location=\"graphic/grl72041-math-0001.png\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><semantics><mrow><mrow><msup data-semantic-=\"\" data-semantic-children=\"0,1\" data-semantic-role=\"latinletter\" data-semantic-speech=\"normal upper O Superscript plus\" data-semantic-type=\"superscript\"><mi data-semantic-=\"\" data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"normal\" data-semantic-parent=\"2\" data-semantic-role=\"latinletter\" data-semantic-type=\"identifier\" mathvariant=\"normal\">O</mi><mo data-semantic-=\"\" data-semantic-parent=\"2\" data-semantic-role=\"addition\" data-semantic-type=\"operator\">+</mo></msup></mrow></mrow>${mathrm{O}}^{+}$</annotation></semantics></math></mjx-assistive-mml></mjx-container> and <span data-altimg=\"/cms/asset/3f883c89-45a8-4785-94e5-474c2fc4584c/grl72041-math-0002.png\"></span><mjx-container ctxtmenu_counter=\"134\" ctxtmenu_oldtabindex=\"1\" jax=\"CHTML\" role=\"application\" sre-explorer- style=\"font-size: 103%; position: relative;\" tabindex=\"0\"><mjx-math aria-hidden=\"true\" location=\"graphic/grl72041-math-0002.png\"><mjx-semantics><mjx-mrow><mjx-mrow><mjx-msubsup data-semantic-children=\"0,1,2\" data-semantic-collapsed=\"(4 (3 0 1) 2)\" data-semantic- data-semantic-role=\"latinletter\" data-semantic-speech=\"normal upper O 2 Superscript plus\" data-semantic-type=\"subsup\"><mjx-mi data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"normal\" data-semanti","PeriodicalId":12523,"journal":{"name":"Geophysical Research Letters","volume":"32 1","pages":""},"PeriodicalIF":5.2,"publicationDate":"2026-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146153411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jiannong Quan, Yangang Liu, Yang Gao, Tianning Su, Yubing Pan, Pengkun Ma, Qianqian Wang, Xingcan Jia
The radiative effect of aerosol on cloud albedo via altering cloud droplet effective radius (re) is a major uncertainty in the Earth's climate system. Remote sensing studies have reported either negative or positive relationships between re and aerosol number concentration (Na) or other aerosol proxies. However, there are much fewer in situ observational evidences and physical explanation remains elusive for the contrasting Na-re relationships. Here we quantify the Na-re relationship by using in situ aircraft measurements, together with a re decomposition method. Our analysis reveals that the cloud-planetary boundary layer (PBL) coupling plays a pivotal role on the Na-re relationship. Quantitative re decomposition indicates that the contrasting Na-re relationships in two cloud-PBL coupling regimes result from different balances of four distinct aspects. The widely recognized number effect may be outweighed by the joint effects of the remaining three that have been rarely investigated and largely ignored in Na-re parameterizations.
{"title":"Pivotal Role of Cloud-Planetary Boundary Layer Coupling to Explain Contrasting Aerosol-Cloud Relationships","authors":"Jiannong Quan, Yangang Liu, Yang Gao, Tianning Su, Yubing Pan, Pengkun Ma, Qianqian Wang, Xingcan Jia","doi":"10.1029/2025gl119748","DOIUrl":"https://doi.org/10.1029/2025gl119748","url":null,"abstract":"The radiative effect of aerosol on cloud albedo via altering cloud droplet effective radius (<i>r</i><sub><i>e</i></sub>) is a major uncertainty in the Earth's climate system. Remote sensing studies have reported either negative or positive relationships between <i>r</i><sub><i>e</i></sub> and aerosol number concentration (<i>N</i><sub><i>a</i></sub>) or other aerosol proxies. However, there are much fewer in situ observational evidences and physical explanation remains elusive for the contrasting <i>N</i><sub><i>a</i></sub>-<i>r</i><sub><i>e</i></sub> relationships. Here we quantify the <i>N</i><sub><i>a</i></sub>-<i>r</i><sub><i>e</i></sub> relationship by using in situ aircraft measurements, together with a <i>r</i><sub><i>e</i></sub> decomposition method. Our analysis reveals that the cloud-planetary boundary layer (<i>PBL</i>) coupling plays a pivotal role on the <i>N</i><sub><i>a</i></sub>-<i>r</i><sub><i>e</i></sub> relationship. Quantitative <i>r</i><sub><i>e</i></sub> decomposition indicates that the contrasting <i>N</i><sub><i>a</i></sub>-<i>r</i><sub><i>e</i></sub> relationships in two cloud-<i>PBL</i> coupling regimes result from different balances of four distinct aspects. The widely recognized number effect may be outweighed by the joint effects of the remaining three that have been rarely investigated and largely ignored in <i>N</i><sub><i>a</i></sub>-<i>r</i><sub><i>e</i></sub> parameterizations.","PeriodicalId":12523,"journal":{"name":"Geophysical Research Letters","volume":"92 1","pages":""},"PeriodicalIF":5.2,"publicationDate":"2026-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146153412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-11DOI: 10.1016/j.gca.2026.02.003
Richard W. Thomas, Bernard J. Wood
{"title":"Sulfur speciation in silicate melts at high pressure","authors":"Richard W. Thomas, Bernard J. Wood","doi":"10.1016/j.gca.2026.02.003","DOIUrl":"https://doi.org/10.1016/j.gca.2026.02.003","url":null,"abstract":"","PeriodicalId":327,"journal":{"name":"Geochimica et Cosmochimica Acta","volume":"166 1","pages":""},"PeriodicalIF":5.0,"publicationDate":"2026-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146153108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Agricultural production is a major consumer of water resources, and the crop water footprint (CWF) serves as a comprehensive metric for assessing agricultural water use efficiency and its associated impacts, thereby providing new insights for agricultural water management. However, quantitative studies of regional CWF require extensive ground observations and are often constrained by scale effects, limited accuracy, and spatiotemporal discontinuities. To address these limitations, we developed a high-precision CWF quantification framework that assimilates remotely sensed leaf area index and downscaled soil moisture into the World Food Studies crop model using the Ensemble Kalman Filter. Application of the proposed framework in the Hetao Irrigation District successfully mapped the high-precision maize production water footprint, revealing a spatial pattern characterized by higher values in the eastern and western regions and lower values in the central area. The mean green water footprint, blue water footprint, and total water footprint of maize were 0.045 m3/kg, 0.660 m3/kg, and 0.705 m3/kg, respectively. Compared with estimates derived from remote sensing evapotranspiration products and the FAO Penman–Monteith method, the data assimilation framework improved the accuracy and spatial representativeness of maize water footprint estimation. Overall, the proposed framework provides a reliable tool for quantifying agricultural water-use efficiency and lays a data and methodological foundation for refined water resources management.
{"title":"A High-Precision Crop Water Footprint Quantification Framework Based on Data Assimilation","authors":"Ting Bai, Shikun Sun, Yali Yin, Dongmei Zhao, Hao Dong, Jing Xue, Jinfeng Zhao, Yubao Wang, Pute Wu","doi":"10.1029/2024wr039817","DOIUrl":"https://doi.org/10.1029/2024wr039817","url":null,"abstract":"Agricultural production is a major consumer of water resources, and the crop water footprint (CWF) serves as a comprehensive metric for assessing agricultural water use efficiency and its associated impacts, thereby providing new insights for agricultural water management. However, quantitative studies of regional CWF require extensive ground observations and are often constrained by scale effects, limited accuracy, and spatiotemporal discontinuities. To address these limitations, we developed a high-precision CWF quantification framework that assimilates remotely sensed leaf area index and downscaled soil moisture into the World Food Studies crop model using the Ensemble Kalman Filter. Application of the proposed framework in the Hetao Irrigation District successfully mapped the high-precision maize production water footprint, revealing a spatial pattern characterized by higher values in the eastern and western regions and lower values in the central area. The mean green water footprint, blue water footprint, and total water footprint of maize were 0.045 m<sup>3</sup>/kg, 0.660 m<sup>3</sup>/kg, and 0.705 m<sup>3</sup>/kg, respectively. Compared with estimates derived from remote sensing evapotranspiration products and the FAO Penman–Monteith method, the data assimilation framework improved the accuracy and spatial representativeness of maize water footprint estimation. Overall, the proposed framework provides a reliable tool for quantifying agricultural water-use efficiency and lays a data and methodological foundation for refined water resources management.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"394 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146160937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anthony C. Ross, Boris Ochoa-Tocachi, Vivien Bonnesoeur, Braulio Lahuatte, Paola Fuentes, Javier Antiporta, Mauricio F. Villazon, Wouter Buytaert
Land use and land cover change (LUCC) can affect the hydrological response time of rivers. However, it is difficult to generate robust and quantitative evidence of this impact at the catchment scale. This lack of evidence also affects the development of rainfall-runoff models to make ex-ante predictions. Here, we analyze high-frequency observational data from a network of pairwise catchments in the tropical Andes and find a statistically significant impact of intensive land use on the hydrological response time, which can be used for regionalization. First, we isolated individual rainfall response events from 5-min precipitation and discharge time series of 16 catchments (8 pairs). We then fitted unit hydrographs on these events to estimate the catchment response times. These response times were subsequently regionalized by, first, applying a forward stepwise regression to select statistically significant catchment characteristics including land use and land cover, then, fitting a linear mixed-effects model with the selected characteristics to account for within-site variability between pairs. We find that catchments with intensive land use have a significantly quicker response than their natural counterparts. Differences were often sub-hourly, highlighting the value of high-frequency monitoring. Forward stepwise regression identified only catchment area and intensive land use percentage (LUP) as statistically significant predictors. Model coefficients show that, even when considering other catchment characteristics, increasing intensive LUP decreases response times. This study provides solid evidence and a robust methodology to quantify the impacts of LUCC on catchment hydrology.
{"title":"Quantifying and Regionalizing Land Use Impacts on Catchment Response Times With High-Frequency Observations","authors":"Anthony C. Ross, Boris Ochoa-Tocachi, Vivien Bonnesoeur, Braulio Lahuatte, Paola Fuentes, Javier Antiporta, Mauricio F. Villazon, Wouter Buytaert","doi":"10.1029/2025wr040922","DOIUrl":"https://doi.org/10.1029/2025wr040922","url":null,"abstract":"Land use and land cover change (LUCC) can affect the hydrological response time of rivers. However, it is difficult to generate robust and quantitative evidence of this impact at the catchment scale. This lack of evidence also affects the development of rainfall-runoff models to make ex-ante predictions. Here, we analyze high-frequency observational data from a network of pairwise catchments in the tropical Andes and find a statistically significant impact of intensive land use on the hydrological response time, which can be used for regionalization. First, we isolated individual rainfall response events from 5-min precipitation and discharge time series of 16 catchments (8 pairs). We then fitted unit hydrographs on these events to estimate the catchment response times. These response times were subsequently regionalized by, first, applying a forward stepwise regression to select statistically significant catchment characteristics including land use and land cover, then, fitting a linear mixed-effects model with the selected characteristics to account for within-site variability between pairs. We find that catchments with intensive land use have a significantly quicker response than their natural counterparts. Differences were often sub-hourly, highlighting the value of high-frequency monitoring. Forward stepwise regression identified only catchment area and intensive land use percentage (LUP) as statistically significant predictors. Model coefficients show that, even when considering other catchment characteristics, increasing intensive LUP decreases response times. This study provides solid evidence and a robust methodology to quantify the impacts of LUCC on catchment hydrology.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"100 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146161074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-10DOI: 10.1016/j.precamres.2026.108032
Emily G. Mitchell , Ion Francovschi , Heda Agić , Andrey Bekker
Discoidal fossils are some of the most abundant and widespread Ediacaran taxa found in many different environments throughout the late Ediacaran (580–539 Ma). They have a wide range of suggested affinities including microbial colonies, medusae, and the holdfasts of frondose taxa, including putative algal/bacterial discoidal taxa, such as Beltanelliformis and Nemiana, which are often found in large abundance in monospecific clusters. From their spatial patterns, we can infer the underlying biological and ecological processes governing their community ecology. Here, we analyzed four new Ediacaran communities from the ca. 567–539 Ma Moldova-Podillya Basin, with Vălcineț Area A and B, in the nearshore to shallow-marine environments, Cosăuți in the lower-energy marine environment, and Egoreni in the shallow-marine conditions (2352 specimens over 11.46 m2), as well as previously described two communities (196 specimens over 1.80 m2) from Kolesnikov (2022) data and 121 specimens over 0.46 m2 from Leonov (2007) data from the Central Urals and the White Sea areas, respectively. These communities exhibited different community dynamics, with strong cluster orientation and dispersal processes in the Vălcineț and South Urals communities, in contrast to the strong association with habitat patchiness for the Cosăuți, Egoreni and White Sea area communities. Our results suggest two alternative drivers for Beltanelliformis communities, those controlled by dispersal in currents and those in a weaker flow by substrate patchiness. The White Sea assemblage Ediacaran biota show variation in environmental and dispersal dynamics and thus contrast with Avalonian assemblage Ediacaran biota, which show consistent drivers across large spatial and temporal scales.
盘状化石是埃迪卡拉纪晚期(580-539 Ma)在许多不同环境中发现的最丰富和最广泛的埃迪卡拉纪分类群之一。它们具有广泛的亲和性,包括微生物菌落,水母和frondose分类群的固定物,包括假定的藻类/细菌盘状分类群,如Beltanelliformis和Nemiana,它们通常在单特异性集群中大量发现。从它们的空间格局中,我们可以推断出控制其群落生态的潜在生物和生态过程。在这里,我们分析了来自大约567-539 Ma Moldova-Podillya盆地的4个新的埃迪卡拉纪群落,其中vlineii区A和B区位于近岸至浅海环境,Cosăuți位于低能海洋环境,egreni位于浅海条件(2352个标本,超过11.46 m2)。以及先前描述的两个群落(来自Kolesnikov(2022)数据的196个标本超过1.80 m2)和来自Leonov(2007)数据的121个标本超过0.46 m2,分别来自乌拉尔中部和白海地区。这些群落表现出不同的群落动态,vlineine和South Urals群落具有较强的集群取向和分散过程,而Cosăuți、Egoreni和White Sea地区群落则与生境斑块性有较强的关联。我们的研究结果表明,Beltanelliformis群落有两种驱动因素,一种是由水流扩散控制的,另一种是由基质斑块控制的。白海组合埃迪卡拉动物群表现出环境和扩散动态的变化,从而与阿瓦洛尼亚组合埃迪卡拉动物群形成对比,在大时空尺度上表现出一致的驱动因素。
{"title":"Spatial analysis of Beltanelliformis (Nemiana) in Baltica","authors":"Emily G. Mitchell , Ion Francovschi , Heda Agić , Andrey Bekker","doi":"10.1016/j.precamres.2026.108032","DOIUrl":"10.1016/j.precamres.2026.108032","url":null,"abstract":"<div><div>Discoidal fossils are some of the most abundant and widespread Ediacaran taxa found in many different environments throughout the late Ediacaran (580–539 Ma). They have a wide range of suggested affinities including microbial colonies, medusae, and the holdfasts of frondose taxa, including putative algal/bacterial discoidal taxa, such as <em>Beltanelliformis</em> and <em>Nemiana</em>, which are often found in large abundance in monospecific clusters. From their spatial patterns, we can infer the underlying biological and ecological processes governing their community ecology. Here, we analyzed four new Ediacaran communities from the ca. 567–539 Ma Moldova-Podillya Basin, with Vălcineț Area A and B, in the nearshore to shallow-marine environments, Cosăuți in the lower-energy marine environment, and Egoreni in the shallow-marine conditions (2352 specimens over 11.46 m<sup>2</sup>), as well as previously described two communities (196 specimens over 1.80 m<sup>2</sup>) from <span><span>Kolesnikov (2022)</span></span> data and 121 specimens over 0.46 m<sup>2</sup> from <span><span>Leonov (2007)</span></span> data from the Central Urals and the White Sea areas, respectively. These communities exhibited different community dynamics, with strong cluster orientation and dispersal processes in the Vălcineț and South Urals communities, in contrast to the strong association with habitat patchiness for the Cosăuți, Egoreni and White Sea area communities. Our results suggest two alternative drivers for <em>Beltanelliformis</em> communities, those controlled by dispersal in currents and those in a weaker flow by substrate patchiness. The White Sea assemblage Ediacaran biota show variation in environmental and dispersal dynamics and thus contrast with Avalonian assemblage Ediacaran biota, which show consistent drivers across large spatial and temporal scales.</div></div>","PeriodicalId":49674,"journal":{"name":"Precambrian Research","volume":"436 ","pages":"Article 108032"},"PeriodicalIF":3.2,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146147064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}