A review of flood mitigation benefit-cost analyses’ inclusiveness of environmental watershed effects and environmental vulnerability: gaps in progress towards more resilient flood hazard decision-making DOI Creative Commons
Fahmida Akhter,

Sapana Bastola,

Jerrod Penn

et al.

Frontiers in Built Environment, Journal Year: 2025, Volume and Issue: 11

Published: March 26, 2025

US and EU flood mitigation policy both incorporate considerations of costs benefits, in recent years have taken steps to encourage accounting for positive negative effects on vulnerable populations, broader non-market environmental impacts, downstream beyond the target area projects projects. This work highlights extent which previous academic Benefit-Cost Analyses (BCA) papers comprehensively considered such project effects. We do so through a systematic, PRISMA-style, review BCA literature field hazard resilience decision-making. Our results suggest 1) most focus monetizing property damages, 2) gap exists ecosystem (especially linked model-linked estimates), 3) almost no addresses distributional or economic social vulnerability related impacts. Studies incorporating structural, environmental, questions are nonexistent. reflects need larger research approach linking depth exposure models wider non-property damage assessment. Current fails wholistically bring together relevant interdependent suggests agenda promoting consolidation methods traditional

Language: Английский

Unravelling blue landscape fragmentation effects on ecosystem services in urban agglomerations DOI
Sonali Kundu, Narendra Kumar Rana, Susanta Mahato

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 102, P. 105192 - 105192

Published: Jan. 10, 2024

Language: Английский

Citations

23
Urban flood risk management needs nature-based solutions: a coupled social-ecological system perspective DOI Creative Commons
Kejing Zhou, Fanhua Kong, Haiwei Yin

et al.

npj Urban Sustainability, Journal Year: 2024, Volume and Issue: 4(1)

Published: April 22, 2024

Abstract A growing number of Nature-based Solutions (NbS) has been advocated for urban flood risk management (FRM). However, whether NbS FRM (NbS-FRM) achieves both social and ecological co-benefits remains largely unknown. We here propose use a conceptual framework with coupled social-ecological perspective to explore identify such “win-win” potential in NbS-FRM. Through scoping-review we find that measures are unevenly distributed around the world, those solely targeting mitigation may have unintended negative consequences society ecosystems. In elaborating this evidence from reviewed studies, NbS-FRM provide co-benefits, remaining gaps including lack resilience thinking, inadequate consideration environmental changes, limited collaborative efforts manage trade-offs. The proposed shows how move forward leverage equitable sustainable improved human well-being ecosystem health.

Language: Английский

Citations

19
Centennial loss of lake wetlands in the Yangtze Plain, China: Impacts of land use changes accompanied by hydrological connectivity loss DOI
Bing Li, Rongrong Wan,

Guishan Yang

et al.

Water Research, Journal Year: 2024, Volume and Issue: 256, P. 121578 - 121578

Published: April 6, 2024

Language: Английский

Citations

9
Floodplain forests drive fruit-eating fish diversity at the Amazon Basin-scale DOI Creative Commons
Sandra Bibiana Correa, Karold V. Coronado-Franco, Céline Jézéquel

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2025, Volume and Issue: 122(3)

Published: Jan. 13, 2025

Unlike most rivers globally, nearly all lowland Amazonian have unregulated flow, supporting seasonally flooded floodplain forests. Floodplain forests harbor a unique tree species assemblage adapted to flooding and specialized fauna, including fruit-eating fish that migrate into floodplains, favoring expansive areas. Frugivorous are forest-dependent fauna critical forest regeneration via seed dispersal support commercial artisanal fisheries. We implemented linear mixed effects models investigate drivers of richness among frugivorous fishes across the ~6,000,000 km2 Amazon Basin, analyzing 29 from 9 families (10,058 occurrences). predictors per subbasin included extent, (309,540 occurrences for 2,506 species), water biogeochemistry, flood duration, elevation, with river order controlling longitudinal positioning along network. observed heterogeneous patterns richness, which were positively correlated duration. The natural hydrological regime facilitates access controls fruit production. Thus, ability ecosystems assemblages hinges on extensive diverse Given low functional redundancy in networks, disperse maintain forests; vice versa, more species, underscoring critically important taxonomic interdependencies embody ecosystems. Effective management strategies must acknowledge hydrologically is essential ensure long-term survival and, turn, sustainability

Language: Английский

Citations

1
Influence of aquatic biodiversity on the self-purification of tropical rivers DOI
Jaielle Rodrigues Nascimento, J. E Santos, Gisele Daiane Pinha

et al.

Ecological Engineering, Journal Year: 2025, Volume and Issue: 212, P. 107540 - 107540

Published: Jan. 30, 2025

Language: Английский

Citations

1
Artificial neural networks for flood susceptibility analysis in Gangarampur sub-division of Dakshin Dinajpur, West Bengal, India DOI Creative Commons

Ankeli Paul

Frontiers in Engineering and Built Environment, Journal Year: 2025, Volume and Issue: 5(1), P. 1 - 21

Published: Jan. 31, 2025

Purpose The study aims to identify the areas of flood susceptibility and categorize Gangarampur sub-division into various zones. It also aspires evaluate efficacy integrating Geographic Information Systems (GIS) with Artificial Neural Networks (ANN) for analysis. Design/methodology/approach factors contributing floods such as rainfall, geomorphology, geo-hazard, elevation, stream density, land use cover, slope, distance from roads, Normalized Difference Water Index (NDWI) rivers were analyzed ANN model helps construct map area. For validating outcome, Receiver Operating Characteristic (ROC) is employed. Findings results indicated that proximity rivers, rainfall deviation, cover are most significant influencing occurrence in demonstrated a prediction accuracy 85%, its effectiveness Originality/value research offers novel approach by analysis sub-division. By identifying key deviation use, achieves 85% accuracy, showing risk mapping. These findings provide critical insights planners devise targeted mitigation strategies.

Language: Английский

Citations

1
Assessment and multi-scenario prediction of ecosystem services in the Yunnan-Guizhou Plateau based on machine learning and the PLUS model DOI Creative Commons
Yuan Li, Yuling Peng,

H. P. Peng

et al.

Frontiers in Ecology and Evolution, Journal Year: 2025, Volume and Issue: 13

Published: Feb. 18, 2025

Introduction Machine learning techniques, renowned for their ability to process complex datasets and uncover key ecological patterns, have become increasingly instrumental in assessing ecosystem services. Methods This study quantitatively evaluates individual services—such as water yield, carbon storage, habitat quality, soil conservation—on the Yunnan-Guizhou Plateau years 2000, 2010, 2020. A comprehensive service index is employed assess overall capacity, revealing spatiotemporal variations services exploring trade-offs synergies among them. Additionally, machine models identify drivers influencing services, informing design of future scenarios. The PLUS model used project land use changes by 2035 under three scenarios—natural development, planning-oriented, priority. Based on simulation results these scenarios, InVEST applied evaluate various Results During 2000-2020, exhibited significant fluctuations, driven synergies. Land vegetation cover were primary factors affecting with priority scenario demonstrating best performance across all Discussion research integrates model, providing more efficient data interpretation precise design, offering new insights methodologies managing optimizing Plateau. These findings contribute development effective protection sustainable strategies, applicable both plateau similar regions.

Language: Английский

Citations

1
Ecosystem deterioration in the middle Yangtze floodplain lakes over the last two centuries: Evidence from sedimentary pigments DOI

Linghan Zeng,

George E. A. Swann, Melanie J. Leng

et al.

Quaternary Science Reviews, Journal Year: 2023, Volume and Issue: 302, P. 107954 - 107954

Published: Jan. 13, 2023

Language: Английский

Citations

21
Aquatic ecosystem services: an overview of the Special Issue DOI Open Access
Verónica Ferreira, Luís Maurício Bini, María de los Ángeles González Sagrario

et al.

Hydrobiologia, Journal Year: 2023, Volume and Issue: 850(12-13), P. 2473 - 2483

Published: May 17, 2023

Language: Английский

Citations

18
Beyond the Case Study: Characterizing Natural Floodplain Heterogeneity in the United States DOI Creative Commons
Emily Iskin, Ellen Wohl

Water Resources Research, Journal Year: 2023, Volume and Issue: 59(8)

Published: Aug. 1, 2023

Abstract We use the five landscape ecology metrics of aggregation index, percentage like adjacencies, interspersion and juxtaposition patch density, Shannon's evenness index to assess spatial heterogeneity at 15 floodplains in continental United States. Assessments are based on floodplain classes patches delineated remotely using topography vegetation. Floodplain reaches examined here represent diverse drainage areas, flow regimes, valley geometries, channel planforms, biomes. selected sites with minimal direct human alteration. Our objectives quantify heterogeneity; evaluate whether statistically significant patterns present; interpret statistical analyses respect influence lateral mobility valley‐floor space available. develop a conceptual model influences available, then test specific hypotheses derived from this model. These natural have median 58.8%, adjacencies 58.5%, 74.9%, density 1,241 patches/ha, 0.934 ( n = 15). In other words, moderate classes, high intermixing wide range densities. Drainage area, ratio floodplain/channel width, elevation, precipitation, total sinuosity, large wood volume, planform, regime emerge as important variables heterogeneity. results highlight biotic‐abiotic interactions shaping across river corridors.

Language: Английский

Citations

15