Your search found 4 records
1 Addo, K. A.; Brempong, E. K.; Jayson-Quashigah, P. N. 2020. Assessment of the dynamics of the Volta River Estuary shorelines in Ghana. Geoenvironmental Disasters, 7:19. [doi: https://doi.org/10.1186/s40677-020-00151-1]
Rivers ; Estuaries ; Coastal erosion ; Brackishwater environment ; Disaster risk reduction ; Vulnerability ; Assessment ; Sediment ; Flooding ; Climate change ; Communities / Ghana / Volta River Estuary / Volta Delta / Akosombo Dam
(Location: IWMI HQ Call no: e-copy only Record No: H049778)
https://geoenvironmental-disasters.springeropen.com/track/pdf/10.1186/s40677-020-00151-1
https://vlibrary.iwmi.org/pdf/H049778.pdf
https://vlibrary.iwmi.org/pdf/H049778.pdf
(1.66 MB) (1.66 MB)
Estuarine shorelines similar to marine coastlines are highly dynamic and may increase disaster risk in vulnerable communities. The situation is expected to worsen with climate change impacts and increasing anthropogenic activities such as upstream water management. This study assessed shoreline changing trends along the Volta river estuary in Ghana as well as the marine coastline using satellite imageries, orthophotos and topographic maps spanning a period of 120 years (1895, 1990, 2000, 2005 and 2015). Linear regression method in the Digital Shoreline Analysis System (DSAS) was used to determine the estuary shoreline migration trend by estimating the shorelines rate of change for the eastern and western sides of the estuary. The rates of change of the marine coastlines on the east and west of the estuary were also estimated. The results show that the eastern and western shoreline of the estuary are eroding at an average rate of about 1.94 m/yr and 0.58 m/yr respectively. The coastlines on the marine side (eastern and western) are eroding at an average rate of about 2.19 m/yr and 0.62 m/yr respectively. Relatively high rates of erosion observed on the eastern estuarine shoreline as well as the coastline could be explained by the reduced sediment supply by the Volta River due to the damming of the Volta River in Akosombo and the sea defence structures constructed to manage erosion problems. The trend is expected to increase under changing oceanographic conditions and increased subsidence in the Volta delta. Effective management approach, such as developing disaster risk reduction strategy, should be adopted to increase the resilience of the communities along the estuarine shoreline and increase their adaptive capacity to climate change hazards and disasters.
2 Bunting, P.; Rosenqvist, A.; Hilarides, L.; Lucas, R. M.; Thomas, N.; Tadono, T.; Worthington, T. A.; Spalding, M.; Murray, N. J.; Rebelo, Lisa-Maria. 2022. Global mangrove extent change 1996–2020: Global Mangrove Watch version 3.0. Remote Sensing, 14(15):3657. (Special issue: Advances in Remote Sensing of Land-Sea Ecosystems) [doi: https://doi.org/10.3390/rs14153657]
Mangroves ; Ecosystems ; Datasets ; Coastal erosion ; Time series analysis ; Estimation ; Landsat ; Satellite imagery ; SAR (radar) ; Observation ; Mapping
(Location: IWMI HQ Call no: e-copy only Record No: H051368)
https://www.mdpi.com/2072-4292/14/15/3657/pdf?version=1660028312
https://vlibrary.iwmi.org/pdf/H051368.pdf
https://vlibrary.iwmi.org/pdf/H051368.pdf
(12.00 MB) (12.0 MB)
Mangroves are a globally important ecosystem that provides a wide range of ecosystem system services, such as carbon capture and storage, coastal protection and fisheries enhancement. Mangroves have significantly reduced in global extent over the last 50 years, primarily as a result of deforestation caused by the expansion of agriculture and aquaculture in coastal environments. However, a limited number of studies have attempted to estimate changes in global mangrove extent, particularly into the 1990s, despite much of the loss in mangrove extent occurring pre-2000. This study has used L-band Synthetic Aperture Radar (SAR) global mosaic datasets from the Japan Aerospace Exploration Agency (JAXA) for 11 epochs from 1996 to 2020 to develop a long-term time-series of global mangrove extent and change. The study used a map-to-image approach to change detection where the baseline map (GMW v2.5) was updated using thresholding and a contextual mangrove change mask. This approach was applied between all image-date pairs producing 10 maps for each epoch, which were summarised to produce the global mangrove time-series. The resulting mangrove extent maps had an estimated accuracy of 87.4% (95th conf. int.: 86.2–88.6%), although the accuracies of the individual gain and loss change classes were lower at 58.1% (52.4–63.9%) and 60.6% (56.1–64.8%), respectively. Sources of error included misregistration in the SAR mosaic datasets, which could only be partially corrected for, but also confusion in fragmented areas of mangroves, such as around aquaculture ponds. Overall, 152,604 km2 (133,996–176,910) of mangroves were identified for 1996, with this decreasing by -5245 km2 (-13,587–1444) resulting in a total extent of 147,359 km2 (127,925–168,895) in 2020, and representing an estimated loss of 3.4% over the 24-year time period. The Global Mangrove Watch Version 3.0 represents the most comprehensive record of global mangrove change achieved to date and is expected to support a wide range of activities, including the ongoing monitoring of the global coastal environment, defining and assessments of progress toward conservation targets, protected area planning and risk assessments of mangrove ecosystems worldwide.
3 Birchall, S. J.; Bonnett, N.; Kehler, S. 2023. The influence of governance structure on local resilience: enabling and constraining factors for climate change adaptation in practice. Urban Climate, 47:101348. [doi: https://doi.org/10.1016/j.uclim.2022.101348]
Climate change adaptation ; Governance ; Climate resilience ; Local government ; Communities ; Institutions ; Vulnerability ; Infrastructure ; Decision making ; Flooding ; Coastal erosion ; Sustainability ; Sea level ; Case studies / Canada / Cape Breton / Nanaimo / British Columbia / Nova Scotia
(Location: IWMI HQ Call no: e-copy only Record No: H051608)
(0.45 MB)
Across the globe, the need to adapt is urgent. Coastal communities are particularly vulnerable to climate stressors such as rising sea levels and erosion, while more extreme and variable weather events interact to accentuate risk. While local governments are increasingly recognized as a central local actor in climate adaptation, research continues to focus on resilience at municipal or national levels of government, limiting circumstances for analysis of differing governance structure. Regional government structure can vary drastically, offering a novel opportunity to explore the effects of governance structure on local capacity for resilience. Framed through a resilience lens, this comparative qualitative study analyzes adaptation within two distinct regional governments, finding that unique structural attributes of regional governments can enable or constrain climate adaptation planning. For instance, increased adaptive capacity, through greater access to critical resources, can facilitate action. In contrast, implementation can be constrained by regional agent priorities and a lack of adaptation consideration in granular planning tools. This study sheds light on how to better utilize strengths of regional governments, and how to integrate interventions within broader policy frameworks to overcome common adaptation barriers.
4 Ngaruiya, G. W.; Joshua, M. K.; Okem, Andrew Emmanuel; Wabuko, J. N.; Zvobgo, L. 2023. Climate change and African cultural heritage. Nairobi, Kenya: African Group of Negotiators Experts Support (AGNES). 6p. (AGNES Policy Brief No. 17)
Cultural heritage ; Underwater photographs ; Rock ; Arts ; Climate change ; Indigenous Peoples' knowledge ; Livelihoods ; Sustainable development ; Sea level ; Coastal erosion ; Flooding ; Rainfall ; Local communities ; Property rights / Africa / Mali
(Location: IWMI HQ Call no: e-copy only Record No: H052637)
https://agnesafrica.org/download/policy-brief-no-17-climate-change-and-africal-cultural-heritage/
https://vlibrary.iwmi.org/pdf/H052637.pdf
https://vlibrary.iwmi.org/pdf/H052637.pdf
(6.78 MB) (6.78 MB)
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