Future Mangrove Suitability Assessment of Andaman to strengthen sustainable development

Chakraborty, Subha; Majumdar, Debaleena; Saha, Swati; Roy, Sayahnya

doi:10.1016/j.jclepro.2019.06.257

Cited by 26 publications

(16 citation statements)

References 38 publications

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“…Our results demonstrated that the probability of mangrove suitability decreases as the latitude increases, which was consistent with the findings of most research (Chakraborty et al, 2019;Estoque et al, 2018;Shih, 2020). The northern limit of the natural distribution of mangroves in China is Fuding County, Fujian Province (27°20' N), the north boundary of artificial planting mangroves is Yueqing County, Zhejiang Province (28°25' N) (Jia et al, 2014).…”

Section: Mangroves Suitable Conditions For Restorationsupporting

confidence: 91%

Mapping the Mangrove Forest Restoration Potential and Conservation Gaps in China Based on Random Forest Model

Zhang

et al. 2022

J. People Plants Environ

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Background and objective: The area of mangroves is gradually decreasing globally, and mangroves are already one of the most threatened ecosystems. Despite net growth in the mangrove areas in China, the restoration potential of mangroves is still insufficient. This study proposed the Random forest model as an excellent data mining method to map the restoration potential based on the predicted probability of mangrove habitat suitability.Methods: We demonstrated the vital environmental variables influencing habitat suitability. The de-cisive advantages of RFM were parsimonious (variables selection), cost-effective (us-ing existing open-source data), accurate (training AUC was 0.89, testing AUC was 0.91), highly efficient (fast-training speed); and its results had high explanatory power. Here, we first mapped the conservation gaps using the RFM.Results: The results showed that temperature was the most important environmental factor influencing the habitat suit-ability of mangroves. The northern limit of suitable areas was around 24°44' N. The theoretical suitable habitat area for mangrove was 196,566.6 ha (the highly suitable area was 32,551.4 ha, the medium suitable area was 164,015.2 ha). The potential area for mangrove restoration was 176,264 ha (Guangdong with 104215.4 ha, Guangxi with 65957.5 ha).Conclusion: We proposed 24 sites with conservation gaps for mangrove forests restoration and nine potential sites as examples for the further restoration plan. We took one example site with high restoration potential for further explanation: how the key environmental factors influence the habitat suitability and how to use the infor-mation to guide the restoration strategies. RFM can be used as a data mining algo-rithm for the utmost use of the presence-only ecological data, objectively evaluating the suitability of species distribution, and providing scientifically technical data for species restoration planning.

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Section: Mangroves Suitable Conditions For Restorationsupporting

confidence: 91%

Mapping the Mangrove Forest Restoration Potential and Conservation Gaps in China Based on Random Forest Model

Zhang

et al. 2022

J. People Plants Environ

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“…Where tectonic events have subsided the entire coastal zone, terrestrial areas once uninhabitable for mangrove species would be frequently inundated and have become an ideal place to afforest mangroves. In contrast, reporting historic mangrove presence in areas that are emerged or submerged nowadays would constitute false pretence upon which to attempt successful R/R (Kodikara et al, 2017;Chakraborty et al, 2019).…”

Section: Shifted Baselinesmentioning

confidence: 98%

Mangrove Restoration Under Shifted Baselines and Future Uncertainty

Dahdouh‐Guebas

Cannicci

2021

Front. Mar. Sci.

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“…This research will help government and planners with a solid information for sustainability of mangrove ecosystem in Malaysia. So, this will be a good start for preserving and protecting life on land which aligned with the fifteenth goal of Sustainable Development Goals [16].…”

Section: Problem Statementmentioning

confidence: 99%

Monitoring of mangroves changes in Pulau Kukup using geographical information system (GIS)

Nordin

Rahman²,

Wahab³

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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Mangroves forests provide a support to the coastal livelihood, ecosystem, socioeconomic and also the environment. In Malaysia, the mangroves forest has been in declining rate causes by a few factor such as conversion to shrimps ponds, urban development and tourism. Such threats led to increasing demand for detailed mangrove maps for the purpose of measuring the extent of deterioration of the mangrove ecosystem. However, it is difficult to produce a detailed mangrove map mainly because mangrove forest is very difficult to access. Remote sensing technology provides a genuine alternative to the traditional field-based method of mangrove mapping and monitoring. This study analyses and map the mangrove forest changes at Pulau Kukup, Ramsar Site Johor from 2013 until 2021 using the Normalized Difference Vegetation Index (NDVI). The findings of this study are the mangrove forests in Pulau Kukup, Ramsar Site Johor, revealed an unfavourable shift leading to deforestation from 2013 to 2016. However, between 2019 and 2021, the mangrove forest improves as the forest’s vegetation grows.

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Future Mangrove Suitability Assessment of Andaman to strengthen sustainable development

Cited by 26 publications

References 38 publications

Mapping the Mangrove Forest Restoration Potential and Conservation Gaps in China Based on Random Forest Model

Mapping the Mangrove Forest Restoration Potential and Conservation Gaps in China Based on Random Forest Model

Mangrove Restoration Under Shifted Baselines and Future Uncertainty

Monitoring of mangroves changes in Pulau Kukup using geographical information system (GIS)

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