Wetland Species Mapping Using Advanced Technological Measurement DOI
Smrutisikha Mohanty, Prashant K. Srivastava, Prem Chandra Pandey

et al.

Aquatic Conservation Marine and Freshwater Ecosystems, Journal Year: 2024, Volume and Issue: 34(12)

Published: Dec. 1, 2024

ABSTRACT Wetlands are pivotal in supporting the natural ecosystem and maintaining biodiversity while being susceptible to anthropogenic activities climate change. However, monitoring wetlands over a large geographical temporal extent is challenging. Vegetation health can be considered good indicator of wetland conditions, measuring chlorophyll content will provide insight into vegetation health. Linking species mapping from spectral indices local regional conservation strategies could improve conservation. Here, we apply this Keetham Lake, India, using machine learning methods (relevance vector model) hyperspectral measurements. From 10 chlorophyll‐sensitive indices, identified four as best performing, particularly for: TVI + CCCI NDRE for calibration validation data. The least performing combinations were MCARI validation. Overall, that was best‐performing pair assessment implementation species. This approach allows precise species, providing data on their area they cover. By creating digital database, method enables long‐term changes species' numbers distribution, helping assess trends increase or decline freshwater ecosystems. Such vital both global efforts, offering insights forward‐looking, data‐driven preservation initiatives.

Language: Английский

Mapping of water spread dynamics of a tropical Ramsar wetland of India for conservation and management DOI

R. Abinaya,

G. Kantharajan,

Moosamikandy Sajeevan

et al.

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(2)

Published: Jan. 7, 2025

Language: Английский

Citations

0
Investigating avian fauna diversity and exploring their possible threats in and around wet-landscape of Rudrasagar lake: an Indian Ramsar site DOI

Arpita Biswas,

Pradip Debnath, Arjan Basu Roy

et al.

Wetlands Ecology and Management, Journal Year: 2025, Volume and Issue: 33(2)

Published: Feb. 17, 2025

Language: Английский

Citations

0
Investing in Nature: A Bibliometric Analysis of Biodiversity Finance and Its Contribution to SDGs 14 and 15 DOI Open Access
Kanwal Iqbal Khan, Ayesha Shehzad

Sustainable Development, Journal Year: 2025, Volume and Issue: unknown

Published: March 4, 2025

ABSTRACT Biodiversity finance is a burgeoning field crucial to achieving sustainable development goals (SDGs). Previous studies solely focused on biodiversity without linking it with broader perspectives of SDGs, particularly 14 and 15, highlighting the need integrate financial mechanism these specific sustainability goals. The current study aims explore existing literature its relevance SDGs 15. It has conducted bibliometric analysis from 1975 2024 based data extracted Web Science (WoS) Scopus databases, identified research gaps, practices, trends, suggested potential areas for further exploration. findings underscore critical importance cross‐disciplinary collaboration in supporting attainment SDGs. Results reported an increasing tendency number publications citations over years. United States most prominent country terms publications, institutional affiliation, corresponding author production. Australia reportedly collaborative due connections 13 countries. Sustainable finance, climate change, are trending topics. six themes through thematic analysis: systems conservation management attainment, environmental initiatives human protection, integrated strategies nature tourism, management, green economy, nature‐based solutions. These results will highlight significance integrating framework addressing global environmental, social, economic, policy issues.

Language: Английский

Citations

0
Monitoring Wise Use of Wetlands During Land Conversion for the Ramsar Convention on Wetlands: A Case Study of the Contiguous United States of America (USA) DOI Open Access
Elena A. Mikhailova, Hamdi A. Zurqani, Lili Lin

et al.

Published: March 16, 2025

Wetlands provide the world with important ecosystem services (ES) including carbon (C) storage. The Ramsar Convention (RC) is only global treaty on wetlands outside of United Nations (UN) 172 contracting parties across as 2025. goals convention are to promote wise use and conservation wetlands, designation suitable international importance, cooperation. problem that there no consensus for standard analysis, which needed ensure conservation. novelty this study methodology combines satellite-based land cover change analysis high-resolution spatial databases help understand in area over time identify potential hotspots C loss. Greenhouse gas (GHG) emissions from wetland conversions represent “transboundary” damages. Therefore, loss can be expressed through “realized” social cost (SC-CO2) a conservative estimate damages caused by dioxide (CO2) release. A case contiguous States America (USA) using raster within ArcGIS Pro showed key findings almost 53% was lost between 1780 1980, starting 894,880.7 km2 falling 422,388.2 1980. This net generated midpoint total soil (6.7 × 1013 kg C) associated costs value $11.4T (where T = trillion 1012, $ dollars, USD). Recent USA (2001–2021) revealed losses all states. newly demonstrated method rapid monitoring changes integrated into systems worldwide support RC concept.

Language: Английский

Citations

0
Restored wetlands show rapid vegetation recovery and substantial surface‐water expansion DOI Creative Commons
Thilina D. Surasinghe, Yin‐Hsuen Chen, Kunwar K. Singh

et al.

Restoration Ecology, Journal Year: 2025, Volume and Issue: unknown

Published: April 4, 2025

Ecological restoration is essential for improving the ecological integrity of degraded ecosystems to enhance ecosystem services and biodiversity. In this study, we assessed effectiveness wetland on retired cranberry farms by analyzing vegetation recovery surface‐water dynamics using enhanced index (EVI) normalized difference water (NDWI) derived from Sentinel‐2 satellite imagery. To quantify temporal both cover, identified spectral distinctions among restored plant communities. Our results indicated emergence distinct communities upon restoration. Restored wetlands in general showed significant progressive expanding cover with clear differentiation communities, as improved EVI NDWI estimates. Wetlands 2016 higher estimates compared reference those 2020, suggesting more advanced recovery. 2020 displayed greater variability EVI, particularly open‐water wetlands, less consistent patterns restorations. Reference consistently exhibited highest values, indicating that have not yet achieved full hydrological saturation. Notably, had significantly coverage than 2016. study suggests gained remarkable progress recovery, although they are reach desired state saturation wetlands. By providing insights into trajectories our supports evidence‐based management practices fostering sustainable ecosystems.

Language: Английский

Citations

0
Spatiotemporal dynamics and driving mechanisms of wetlands in arid regions of Xinjiang DOI
Yue Ding, Jianli Ding,

Jinjie Wang

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 174, P. 113485 - 113485

Published: April 18, 2025

Language: Английский

Citations

0
Vegetation discrimination based on chlorophyll prediction in Marshy wetland using Unmanned Aerial Vehicles DOI
Smrutisikha Mohanty, Prem Chandra Pandey, Prachi Singh

et al.

Aquatic Conservation Marine and Freshwater Ecosystems, Journal Year: 2024, Volume and Issue: 34(5)

Published: May 1, 2024

Abstract Wetlands are an integral part of our global ecosystems and play crucial roles in ecological functions such as carbon sequestration, flood mitigation, water purification, recreational activities. The Ramsar Convention is the most significant wetland protection pact doing tremendous work conserving wetlands worldwide. However, area still under threat due to anthropogenic activity. current study utilized drone images, chlorophyll measurements machine leaning discriminate map vegetation at marsh area—the site. high‐resolution, multispectral imagery acquired using a drone‐mounted MICAsense sensor. Eight spectral indices Normalized Difference Water Index (NDWI), Two‐Band Algorithm (2BDA), Chlorophyll (NDCI), Vegetation (NDVI) Enhanced (ENDVI), Green (GNDVI), Normalised RedEdge (NDRE) were calculated on order different covers floating aquatic (FAV), open water, other vegetations types. These include following: Eichhornia, Nymphea, Oleracea, Paspalam, Oryza from agriculture land Two models (viz., Taylor plot Lek Profile methods) employed assess sensitivity for prediction discrimination. It inferred both methods that NDCI was sensitive followed by NGRDI/ ENDVI/ 2BDA NDVI ecosystems. Further, three learning algorithms, support vector (SVM), random forest (RF), gradient tree boost (GTB), classification, performance accuracy GTB found be highest (0.893), RF (0.851) SVM (0.723). algorithm applied over revealed Eichhronia sp. abundantly present site; hence, strategic management plans should carried out eradication invasive species proper vegetation.

Language: Английский

Citations

2
Progress towards the Sustainable Development Goal 14 (Life below water) in the context of Brazil: A Multicriteria approach DOI Creative Commons
Vinicius Moretti, Natália Ramos Corraini, Everton Luiz de Melo

et al.

Sustainable Futures, Journal Year: 2024, Volume and Issue: unknown, P. 100410 - 100410

Published: Dec. 1, 2024

Language: Английский

Citations

1
Wetland Species Mapping Using Advanced Technological Measurement DOI
Smrutisikha Mohanty, Prashant K. Srivastava, Prem Chandra Pandey

et al.

Aquatic Conservation Marine and Freshwater Ecosystems, Journal Year: 2024, Volume and Issue: 34(12)

Published: Dec. 1, 2024

ABSTRACT Wetlands are pivotal in supporting the natural ecosystem and maintaining biodiversity while being susceptible to anthropogenic activities climate change. However, monitoring wetlands over a large geographical temporal extent is challenging. Vegetation health can be considered good indicator of wetland conditions, measuring chlorophyll content will provide insight into vegetation health. Linking species mapping from spectral indices local regional conservation strategies could improve conservation. Here, we apply this Keetham Lake, India, using machine learning methods (relevance vector model) hyperspectral measurements. From 10 chlorophyll‐sensitive indices, identified four as best performing, particularly for: TVI + CCCI NDRE for calibration validation data. The least performing combinations were MCARI validation. Overall, that was best‐performing pair assessment implementation species. This approach allows precise species, providing data on their area they cover. By creating digital database, method enables long‐term changes species' numbers distribution, helping assess trends increase or decline freshwater ecosystems. Such vital both global efforts, offering insights forward‐looking, data‐driven preservation initiatives.

Language: Английский

Citations

0