A contemporary analysis of policy implementation for the coastal mangrove forest management in Bangladesh Sundarbans DOI
Md. Ziaul Islam

Marine Policy, Год журнала: 2024, Номер 171, С. 106460 - 106460

Опубликована: Окт. 24, 2024

Язык: Английский

Carbon sequestration under ecological restoration in Purbasthali oxbow lake, India DOI
Nilanjan Das, H. S. Ray,

Soumyadip Pal

и другие.

Wetlands Ecology and Management, Год журнала: 2025, Номер 33(1)

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1
Biosurfactant and iron oxide nanoparticle-assisted bioremediation of soil co-contaminated with hydrocarbons and hazardous heavy metals DOI
Punniyakotti Elumalai, Rajaram Rajamohan,

Aman Thashbin Vayal Purayil

и другие.

Chemical Engineering Journal, Год журнала: 2024, Номер 497, С. 154677 - 154677

Опубликована: Авг. 9, 2024

Язык: Английский

Процитировано

6
A systematic review of energy and mass fluxes, and biogeochemical processes in seasonally dry tropical forests and cactus ecosystems DOI
Alexandre Maniçoba da Rosa Ferraz Jardim, José Edson Florentino de Morais, Luciana Sandra Bastos de Souza

и другие.

Journal of South American Earth Sciences, Год журнала: 2023, Номер 126, С. 104330 - 104330

Опубликована: Апрель 6, 2023

Язык: Английский

Процитировано

12
Assessing long term impact of regional climate and human activities on vegetation greenness dynamics in Sundarbans DOI Creative Commons
Muhammad Sadiq Khan,

Ayesha Akter,

Ismail Khan

и другие.

Ecological Informatics, Год журнала: 2025, Номер unknown, С. 102984 - 102984

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
A coupled model of greenhouse gas emissions from erosion and accretion prone zones of mangrove ecosystem, Sundarban, India DOI
Nilanjan Das, Dilip Kumar Pal, Rabin Chakrabortty

и другие.

Geoderma Regional, Год журнала: 2025, Номер 40, С. e00928 - e00928

Опубликована: Янв. 31, 2025

Язык: Английский

Процитировано

0
Unveiling the impact of anthropogenic wastes on greenhouse gas emissions from the enigmatic mangroves of Indian Sundarban DOI
Nilanjan Das,

Soumyadip Pal,

H. S. Ray

и другие.

The Science of The Total Environment, Год журнала: 2025, Номер 965, С. 178647 - 178647

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
Predicting the potential habitat suitability of mangrove bioindicator species- Telescopium telescopium (Linnaeus, 1758) through MaxEnt modelling DOI
H. S. Ray, Nilanjan Das,

Soumyadip Pal

и другие.

Regional Studies in Marine Science, Год журнала: 2025, Номер 83, С. 104073 - 104073

Опубликована: Фев. 16, 2025

Язык: Английский

Процитировано

0
A permutation approach to evaluating the performance of a forecasting model of methane content in the atmospheric surface layer of arctic region DOI
Alexander Sergeev, Andrey Shichkin, Elena Baglaeva

и другие.

Atmospheric Pollution Research, Год журнала: 2023, Номер 15(2), С. 102000 - 102000

Опубликована: Ноя. 29, 2023

Язык: Английский

Процитировано

3
Impact analysis of cyclonic effects and landform change in part of Indian Sundarban using remote sensing and Google Earth Engine DOI
Bijay Halder, Jatisankar Bandyopadhyay, Miguel Inácio

и другие.

Environment Development and Sustainability, Год журнала: 2024, Номер unknown

Опубликована: Окт. 10, 2024

Язык: Английский

Процитировано

0
Methane Emission in Mangrove Forests: Field Study and Environmental Correlations from Xuan Thuy National Park, Vietnam DOI Open Access

Hanh Thi Minh Pham,

Ba The Dang,

Cuong Tu Ho

и другие.

Polish Journal of Environmental Studies, Год журнала: 2024, Номер 33(5), С. 5819 - 5927

Опубликована: Апрель 22, 2024

This study investigates methane emissions in the mangrove forests of Xuan Thuy National Park Vietnam, examining seasonal variations and influence environmental factors.Data from field measurements present flux rates ranging 0.01 to 10.42 mg m-2 day-1, are substantially lower than default estimations recommended by IPCC guidelines.The highlights discrepancies between actual suggested values, emphasizing necessity for site-specific monitoring avoid overestimating greenhouse gas emissions, particularly areas.The analysis reveals strong correlations parameters.Factors such as water pH, turbidity, temperature, nitrogen content significantly emissions.The emphasizes interconnectedness various within ecosystems underlines importance accurate, location-specific data assessments policy-making.

Язык: Английский

Процитировано

0