Open Access
Issue |
BIO Web Conf.
Volume 156, 2025
The 6th International Conference on Fisheries, Aquatic, and Environmental Sciences (ICFAES 2024)
|
|
---|---|---|
Article Number | 02010 | |
Number of page(s) | 8 | |
Section | Environment (Ecosystem, Habitat Conservation, Climate, Habitat Consultation, Environmental Modeling, Water Resources and Management) | |
DOI | https://doi.org/10.1051/bioconf/202515602010 | |
Published online | 30 January 2025 |
- V. Ayyam, S. Palanivel, S. Chandrakasan, Coastal ecosystems of the Tropics-adaptive management. Springer (2019) [CrossRef] [Google Scholar]
- Y. Malhi, et al., Climate change and ecosystems: threats, opportunities and solutions. Philos. Trans. R. Soc. B 375, 20190104 (2020) [CrossRef] [PubMed] [Google Scholar]
- C.R. Nichols, J. Zinnert, D.R. Young, Degradation of coastal ecosystems: causes, impacts, and mitigation efforts. Tomorrow’s Coasts: Complex and Impermanent, 119– 136 (2019) [Google Scholar]
- S. Chapkanski, et al., Fluvial and coastal landform changes in the Aceh River delta (northern Sumatra) during the century leading to the 2004 Indian Ocean tsunami. Earth Surf. Process. Landforms 47, 1127–1146 (2022) [CrossRef] [Google Scholar]
- R. Sinha, R. Chandrasekaran, N. Awasthi, Geomorphology, land use/land cover and sedimentary environments of the Chilika Basin. Ecol. Conserv. Restor. Chilika Lagoon India, 231–250 (2020) [Google Scholar]
- B.M.R. Faisal, Y.S. Hayakawa, Geomorphological processes and their connectivity in hillslope, fluvial, and coastal areas in Bangladesh: A review. Prog. Earth Planet. Sci. 9, 41 (2022) [CrossRef] [Google Scholar]
- C.M. Crain, B.S. Halpern, M.W. Beck, C.V. Kappel, Understanding and managing human threats to the coastal marine environment. Ann. N.Y. Acad. Sci. 1162, 39–62 (2009) [CrossRef] [PubMed] [Google Scholar]
- R.K. Turner, I. Lorenzoni, N. Beaumont, et al., Coastal management for sustainable development: analysing environmental and socio-economic changes on the UK coast. Geogr. J., 269–281 (1998) [Google Scholar]
- R. Benavidez, B. Jackson, D. Maxwell, K. Norton, A review of the (Revised) Universal Soil Loss Equation (RUSLE): With a view to increasing its global applicability and improving soil loss estimates. Hydrol. Earth Syst. Sci. 22, 6059–6086 (2018) [CrossRef] [Google Scholar]
- K. Ghosal, S. Das Bhattacharya, A review of RUSLE model. J. Indian Soc. Remote Sens. 48, 689–707 (2020) [CrossRef] [Google Scholar]
- Y. Farhan, S. Nawaiseh, Spatial assessment of soil erosion risk using RUSLE and GIS techniques. Environ. Earth Sci. 74, 4649–4669 (2015) [CrossRef] [Google Scholar]
- D. Arrouays, V.L. Mulder, A.C. Richer-de-Forges, Soil mapping, digital soil mapping and soil monitoring over large areas and the dimensions of soil security–A review. Soil Secur. 5, 100018 (2021) [CrossRef] [Google Scholar]
- B.G. Thom, et al., National sediment compartment framework for Australian coastal management. Ocean Coast. Manag. 154, 103–120 (2018) [CrossRef] [Google Scholar]
- U. Nations, Transforming our world: the 2030 agenda for sustainable development (2015) [Google Scholar]
- L.R. Virto, A preliminary assessment of the indicators for Sustainable Development Goal (SDG) 14 ‘Conserve and sustainably use the oceans, seas and marine resources for sustainable development.’ Mar. Policy 98, 47–57 (2018) [CrossRef] [Google Scholar]
- K.Y. Saketa, E.N. Tamene, S.B. G., et al., Modeling soil erosion using RUSLE and GIS at watershed level in the upper Beles, Ethiopia. Environ. Challenges 2, 100009 (2021) [CrossRef] [Google Scholar]
- M. Amani, et al., Google Earth Engine cloud computing platform for remote sensing big data applications: A comprehensive review. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 13, 5326–5350 (2020) [CrossRef] [Google Scholar]
- D.T. Meshesha, A. Tsunekawa, N. Haregeweyn, Influence of raindrop size on rainfall intensity, kinetic energy, and erosivity in a sub-humid tropical area: A case study in the northern highlands of Ethiopia. Theor. Appl. Climatol. 136, 1221–1231 (2019) [CrossRef] [Google Scholar]
- C. Funk, et al., The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes. Sci. Data 2, 1–21 (2015) [Google Scholar]
- F.-W. Chen, C.-W. Liu, Estimation of the spatial rainfall distribution using inverse distance weighting (IDW) in the middle of Taiwan. Paddy Water Environ. 10, 209–222 (2012) [CrossRef] [Google Scholar]
- K.G. Renard, J.R. Freimund, Using monthly precipitation data to estimate the R-factor in the revised USLE. J. Hydrol. 157, 287–306 (1994) [CrossRef] [Google Scholar]
- Y. Ostovari, S. Ghorbani-Dashtaki, H.-A. Bahrami, et al., Modification of the USLE K factor for soil erodibility assessment on calcareous soils in Iran. Geomorphology 273, 385–395 (2016) [CrossRef] [Google Scholar]
- T. Hengl, Soil texture classes (USDA system) for 6 soil depths (0, 10, 30, 60, 100, and 200 cm) at 250 m. Zenodo (2018) [Google Scholar]
- W.H. Wischmeier, D.D. Smith, Predicting rainfall erosion losses: A guide to conservation planning. Department of Agriculture, Science and Education Administration, (1978) [Google Scholar]
- E. Rodriguez, C.S. Morris, J.E. Belz, A global assessment of the SRTM performance. Photogramm. Eng. Remote Sens. 72, 249–260 (2006) [CrossRef] [Google Scholar]
- P. Bircher, H.P. Liniger, V. Prasuhn, Comparing different multiple flow algorithms to calculate RUSLE factors of slope length (L) and slope steepness (S) in Switzerland. Geomorphology 346, 106850 (2019) [CrossRef] [Google Scholar]
- S. Huang, L. Tang, J.P. Hupy, et al., A commentary review on the use of normalized difference vegetation index (NDVI) in the era of popular remote sensing. J. For. Res. 32, 1–6 (2021) [CrossRef] [Google Scholar]
- L. Matas-Granados, M. Pizarro, L. Cayuela, et al., Long-term monitoring of NDVI changes by remote sensing to assess the vulnerability of threatened plants. Biol. Conserv. 265, 109428 (2022) [CrossRef] [Google Scholar]
- S.W. Correa, C.R. Mello, S.C. Chou, et al., Soil erosion risk associated with climate change at Mantaro River Basin, Peruvian Andes. Catena 147, 110–124 (2016) [CrossRef] [Google Scholar]
- J.H. Abdulkareem, B. Pradhan, W.N.A. Sulaiman, et al., Prediction of spatial soil loss impacted by long-term land-use/land-cover change in a tropical watershed. Geosci. Front. 10, 389–403 (2019) [CrossRef] [Google Scholar]
- K.G. Renard, Predicting soil erosion by water: A guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE). US Department of Agriculture, Agricultural Research Service (1997) [Google Scholar]
- A.Y. Yesuph, A.B. Dagnew, Soil erosion mapping and severity analysis based on RUSLE model and local perception in the Beshillo Catchment of the Blue Nile Basin. Environ. Syst. Res. (2019) [Google Scholar]
- D.L. Dunkerley, Rainfall intensity bursts and the erosion of soils: An analysis highlighting the need for high temporal resolution rainfall data. Earth Surf. Dyn. 7, 345–360 (2019) [CrossRef] [Google Scholar]
- J.M. Hall-Spencer, B.P. Harvey, Ocean acidification impacts on coastal ecosystem services due to habitat degradation. Emerg. Top. Life Sci. 3, 197–206 (2019) [CrossRef] [PubMed] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.