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7 results for “Transboundary River”
Рис. 4. Особо охраняемые территории Юго-ЗапаΑного Приморья Fig. 4. Specially protected areas of South-Western Primorye in Transboundary Migration And The Local Constraints In The Dynamic Of Fish Fauna In The Lower Reaches Of Tumannaya River
Рис. 4. Особо охраняемые территории Юго-ЗапаΑного Приморья Fig. 4. Specially protected areas of South-Western Primorye
Рис. 3. Схема миграций виΑов рыб, участвующих в современной Αинамике ихтиофауны на территории НТТ: 1 — разΛивы; 2 — намывы. Черным цветом обозначены направΛения миграций из реки Туманной; красным — из оз. Хасан и РазΛивов; синим — с мест зимовки в реках южного Приморья; зеΛеным — сезонные миграции из южных морей Fig. 3. Scheme of migration of fish species involved in the modern dynamics of ichthyofauna on the territory of LRT: 1 — spills; 2 — alluvial. Black color indicates the direction of migration from the Tumannaya river; red — from lake Khasan and spills; blue — from wintering places in the rivers of southern Primorye; green — seasonal migration from the south seas in Transboundary Migration And The Local Constraints In The Dynamic Of Fish Fauna In The Lower Reaches Of Tumannaya River
Рис. 3. Схема миграций виΑов рыб, участвующих в современной Αинамике ихтиофауны на территории НТТ: 1 — разΛивы; 2 — намывы. Черным цветом обозначены направΛения миграций из реки Туманной; красным — из оз. Хасан и РазΛивов; синим — с мест зимовки в реках южного Приморья; зеΛеным — сезонные миграции из южных морей Fig. 3. Scheme of migration of fish species involved in the modern dynamics of ichthyofauna on the territory of LRT: 1 — spills; 2 — alluvial. Black color indicates the direction of migration from the Tumannaya river; red — from lake Khasan and spills; blue — from wintering places in the rivers of southern Primorye; green — seasonal migration from the south seas
Рис. 2. Низина Λевобережья НТТ в виΑе параΛΛеΛьных берегу моря ваΛов и небоΛьших понижений, вытянутых в северо-восточном направΛении, с характерной раститеΛьностью Fig. 2. The lowland of the left Bank of the LRT in the form of parallel to the seashore shafts and small depressions, elongated in a North-Eastern direction, with characteristic vegetation in Transboundary Migration And The Local Constraints In The Dynamic Of Fish Fauna In The Lower Reaches Of Tumannaya River
Рис. 2. Низина Λевобережья НТТ в виΑе параΛΛеΛьных берегу моря ваΛов и небоΛьших понижений, вытянутых в северо-восточном направΛении, с характерной раститеΛьностью Fig. 2. The lowland of the left Bank of the LRT in the form of parallel to the seashore shafts and small depressions, elongated in a North-Eastern direction, with characteristic vegetation
Рис. 1. Устье р. Туманной (Λевый берег). ВиΑны постоянно Αействующий (А) и формирую- щийся (Б) воΑотоки, сбрасывающие воΑу из озера Αебяжьего Fig. 1. The mouth of the Tumannaya river (left bank). Visible permanent (A) and forming (B) watercourses that discharge water from lake Lebyazhye in Transboundary Migration And The Local Constraints In The Dynamic Of Fish Fauna In The Lower Reaches Of Tumannaya River
Рис. 1. Устье р. Туманной (Λевый берег). ВиΑны постоянно Αействующий (А) и формирую- щийся (Б) воΑотоки, сбрасывающие воΑу из озера Αебяжьего Fig. 1. The mouth of the Tumannaya river (left bank). Visible permanent (A) and forming (B) watercourses that discharge water from lake Lebyazhye
Sahana et al. Supplementary Data for Global Transboundary River Research: Databases, Case Study Analysis, and Regional Statistics for Sustainable Management
<p><span>This dataset supports our comprehensive review article on transboundary river research, exploring its implications for sustainable management worldwide. Utilizing machine learning, we analyzed 4,237 publications and conducted an in-depth desk review of 325 selected papers, examining a total of 4,713 case studies spanning 286 river basins globally. The study provides critical insights into upstream, midstream, and downstream regions, offering a complete view of challenges and opportunities in transboundary river management. Supplementary Data 1 contains the main database used in this study, sourced from Scopus, Web of Science, and Google Scholar. Additionally, Supplementary Data 2 and 3, included in the spreadsheet, offer statistics and further resources essential for understanding regional and cross-regional dynamics in river basin governance. These supplementary resources include key statistics, case study metadata, and tools, helping to facilitate a deeper exploration of basin-specific and global trends in transboundary water management. This collection of data and resources provides a valuable foundation for researchers and policymakers in advancing sustainable transboundary river management practices.</span></p>
Data for : Social equity shapes zone-selection: Balancing aquatic biodiversity conservation and ecosystem services delivery in the transboundary Danube River Basin
<p>Freshwater biodiversity is declining, despite national and international efforts to manage and protect <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/freshwater-ecosystem">freshwater ecosystems</a>. Ecosystem-based management (EBM) has been proposed as an approach that could more efficiently and adaptively <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/ecological-balance">balance ecological</a> and societal needs. However, this raises the question of how social and ecological objectives can be included in an <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/integrated-management">integrated management</a> plan. Here, we present a generic model-coupling framework tailored to address this question for freshwater ecosystems, using three components: biodiversity, ecosystem services (ESS), and a spatial prioritisation that aims to balance the spatial representation of biodiversity and <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/evolutionarily-stable-strategy">ESS</a> supply and demand. We illustrate this model-coupling approach within the Danube River Basin using the spatially explicit, potential distribution of (i) 85 fish species as a surrogate for biodiversity as modelled using hierarchical Bayesian models, and (ii) four estimated ESS layers produced by the <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/artificial-intelligence">Artificial Intelligence</a> for Ecosystem Services (ARIES) platform (with ESS supply defined as <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/carbon-sequestration">carbon storage</a> and flood regulation, and demand specified as recreation and water use). These are then used for (iii) a joint spatial prioritisation of biodiversity and ESS employing Marxan with Zones, laying out the spatial representation of multiple management zones. Given the transboundary setting of the Danube River Basin, we also run comparative analyses including the country-level <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/purchasing-power-parity">purchasing power parity</a> (PPP)-adjusted gross domestic product (GDP) and each country's percent cover of the total basin area as potential cost factors, illustrating a scheme for balancing the share of establishing specific zones among countries. We demonstrate how emphasizing various biodiversity or ESS targets in an EBM model-coupling framework can be used to cost-effectively test various spatially explicit management options across a multi-national case study. We further discuss possible limitations, future developments, and requirements for effectively managing a balance between biodiversity and ESS supply and demand in freshwater ecosystems.</p>
Spatiotemporal patterns and implications of changing seasonal flooding extents on wetland landscapes of a transboundary Chobe River Basin in Southern Africa
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