首页|Examining the status of mangrove forest dynamics and community-led management on the Colombian Pacific coast
Examining the status of mangrove forest dynamics and community-led management on the Colombian Pacific coast
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NETL
NSTL
Elsevier
While satellite availability has enabled assessments of significant mangrove loss in several regions, such as Southeast Asia and the Caribbean mangrove forests, there are very few examples of mangrove conservation in communities with strong local organizations and well-developed environmental management. In the Gulf of Tribuga in the northern of Colombia's Pacific coast, mangrove cover has remained relatively stable for decades. This is not only due to factors such as low population, lack of infrastructure expansion, and policies such as collective land titling, but also significantly because of the often-overlooked role of ecosystem management by local communities. We investigate the relationship of mangrove changes observed from multisource remote sensing datasets with management practices by local communities in the Gulf of Tribuga. Results using the Landsat time series suggest that mangrove cover has decreased by 12 % between 2000 and 2020 (0.6 % annually). In the case of Sentinel-1, sub-annual mangrove disturbances account for similar to 30ha from 2018 to 2023. Although the management plan has partially contributed to preventing deforestation, local communities have expressed concerns. There is a need for constant monitoring of coastal variation and assessment of future threats associated with planned infrastructure investment, such as road expansion and construction of a port. This study provides a landscape analysis to help understand mangrove forest change and how local perceptions and management are linked to highlight future negative impacts on mangrove forests and communities' well-being.
Pacific CoastGulf of TribugamangrovesdegradationmultisensorsCONSERVATIONRESILIENCELANDSCAPESVALUATIONIMAGERYSURFACEAREASCLOUD
Murillo-Sandoval, Paulo J.、Perea-Ardila, Mauricio、Simard, Marc
NETL
NSTL
Elsevier
