Drivers of mangrove ecosystem service change in the Sundarbans of Bangladesh

Islam, Mohammad Mahmudul; Sunny, Atiqur Rahman; Hossain, Mohammad Mosarof; Friess, Daniel A.

doi:10.1111/sjtg.12241

Cited by 70 publications

(42 citation statements)

References 50 publications

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“…Highly productive mangrove ecosystems are well known for providing a variety of ecosystem services. The Sundarbans offers a range of ecosystem services including provisioning services (e.g., timber and food products such as fish), regulatory services (e.g., carbon sequestration and protection from cyclones) and cultural services (e.g., mangrove tourism) (Islam et al, 2018; Uddin et al, 2013). Our result – that Sundarbans' mangrove communities have been becoming homogenous in species composition since 1986 (Figs.…”

Section: Discussionmentioning

confidence: 99%

1980s–2010s: The world's largest mangrove ecosystem is becoming homogeneous

Sarker

Matthiopoulos

Mitchell

et al. 2019

Biological Conservation

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Knowledge gaps in spatiotemporal changes in mangrove diversity and composition have obstructed mangrove conservation programs across the tropics, but particularly in the Sundarbans (10,017 km 2 ), the world's largest remaining natural mangrove ecosystem. Using mangrove tree data collected from Earth's largest permanent sample plot network at four historical time points (1986, 1994, 1999 and 2014), this study establishes spatially explicit baseline biodiversity information for the Sundarbans. We determined the spatial and temporal differences in alpha, beta, and gamma diversity in three ecological zones (hypo-, meso-, and hypersaline) and also uncovered changes in the mangroves' overall geographic range and abundances therein. Spatially, the hyposaline mangrove communities were the most diverse and heterogeneous in species composition while the hypersaline communities were the least diverse and most homogeneous at all historical time points. Since 1986, we detect an increasing trend of compositional homogeneity (between-site similarity in species composition) and a significant spatial contraction of distinct and diverse areas over the entire ecosystem. Temporally, the western and southern hypersaline communities have undergone radical shifts in species composition due to population increase and range expansion of the native invasive species Ceriops decandra and local extinction or range contraction of specialists including the globally endangered Heritiera fomes . The surviving biodiversity hotspots are distributed outside the legislated protected area network. In addition to suggesting the immediate coverage of these hotspots under protected area management, our novel biodiversity insights and spatial maps can form the basis for spatial conservation planning, biodiversity monitoring and protection initiatives for the Sundarbans.

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Section: Discussionmentioning

confidence: 99%

1980s–2010s: The world's largest mangrove ecosystem is becoming homogeneous

Sarker

Matthiopoulos

Mitchell

et al. 2019

Biological Conservation

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“…The forest supports and protects the livelihoods of the local communities. Because of the rich biodiversity, and the high socioeconomic and ecological value, the forest was declared a Ramsar Wetlands Site in 1992 and a UNESCO World Heritage Site in 1997 (Singh et al 2010;Abdullah-Al-Mamun et al 2017;Islam et al 2018).…”

Section: Study Areamentioning

confidence: 99%

Improved assessment of mangrove forests in Sundarbans East Wildlife Sanctuary using WorldView 2 and TanDEM‐X high resolution imagery

Rahman

Lagomasino

Lee

et al. 2019

Remote Sens Ecol Conserv

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Recent developments of remote sensing techniques which can capture both the structure and function of the ecosystem provide a more representative view of the landscape. These unique Earth observations were used to help improve traditional forestry surveys by providing species‐specific land cover classes for mangrove forests in the Sundarbans East Wildlife Sanctuary. By combining optical data from WorldView2 (WV2; 2 m pixel) and a canopy height model derived using radar data from TanDEM‐X (TDX; 12 m pixel), we identified nine mangrove and five non‐mangrove classes by following an Iterative Self‐Organizing Data Analysis Algorithm. Three dominant mangrove species accounted for nearly 50% of the sanctuary. Heritieria fomes disproportionately covered the largest area at 43%, overturning previous field‐based estimates of Excoecaria agallocha dominance. E. agallocha and Sonneratia apetala, covered 3% and 1.47% of the sanctuary, respectively. Four mixed species classes were also identified with clear vegetation zonation patterns that trended toward species homogeneity with increasing distance from shore. The overall land cover accuracy (WV2: 89.33%; WV2‐TDX: 89.89%), the Kappa Coefficient (WV2: 0.88; WV2‐TDX: 0.89) and change statistics between WV2 and WV2‐TDX land cover classifications indicate that the WV2 imagery can separate mangrove community types without structural data. The combination of the land cover classifications and the canopy height model indicated that H. fomes were not only the most dominant forest but also, on average, the tallest (12.3 m) among the other eight mangrove types. Our large‐scale mapping with high resolution optical and radar platforms can capture subtle changes in mangrove vegetation and canopy structural gradients more accurately and be used to monitor biodiversity changes and Aichi Biodiversity Targets and Indicators, which would contribute to biodiversity policy updating.

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“…Historically significant ICH such as festivals and religious events attract many tourists. For instance, the Mekong Naga Fireball ceremony in Thailand (Cohen, 2007), Holy Week on the island of Sardinia (Giudici et al, 2013), and the Rush Mela festival in Bangladesh (Islam et al, 2018) UNESCO, 2011). However, the growing trend of cultural tourism in developing countries has raised concerns about unsustainable tourism practices and the commodification of ICH (Fiorello & Bo, 2012;Zhou et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Conceptual Model for Mutual (Host-Guest) Authentication of Intangible Cultural Heritage

Khanom

Scott

Kennelly

et al. 2019

eot

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The intangible cultural heritage (ICH) of indigenous communities is an attraction to many tourists. Authentic ICH experiences rely on the perceptions and actions of both the host community and guests, a topic which has received with limited scholarly attention, particularly in recent research. This paper presents a conceptual model examining how the mutual (host-guest) authentication of ICH (integrating the perceptions of both hosts and guests) can potentially lead to community empowerment. A literature review has identified that the host community?s attitude and motivation towards ICH, their psychological and economic benefit from ICH, and their participation or involvement in the ICH, together influence the authentication of ICH by these communities. Similarly, a guest?s attitude to and motivation for ICH as well as the way the traditional objects, events or environment are experienced, influence the authentication of ICH. The proposed mutual ICH authentication model combines the interaction of such host and guest factors in authentication of ICH, i.e. both the host community and guest should perceive the same elements as authentic ICH through a synthesis of their own unique perspectives. The perceived authenticity of ICH by the host and guest is reflected in their loyalty, satisfaction, and support for tourism. Further, the model suggests that tourism based on authentic ICH has the potential to empower local communities in their economic, social, psychological and political domains. The proposed model may be useful for future research defining power relations in the authentication of ICH and improving community-based ecotourism through community empowerment. Keywords: intangible cultural heritage, authenticity, mutual authentication, cultural tourism, community empowerment

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Drivers of mangrove ecosystem service change in the Sundarbans of Bangladesh

Cited by 70 publications

References 50 publications

1980s–2010s: The world's largest mangrove ecosystem is becoming homogeneous

1980s–2010s: The world's largest mangrove ecosystem is becoming homogeneous

Improved assessment of mangrove forests in Sundarbans East Wildlife Sanctuary using WorldView 2 and TanDEM‐X high resolution imagery

Conceptual Model for Mutual (Host-Guest) Authentication of Intangible Cultural Heritage

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