Mangroves' role in supporting ecosystem-based techniques to reduce disaster risk and adapt to climate change: A review

Sunkur, Reshma; Kantamaneni, Komali; Bokhoree, Chandradeo; Ravan, Shirish

doi:10.1016/j.seares.2023.102449

Cited by 18 publications

(6 citation statements)

References 58 publications

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“…According to Mathivanan et al (2021), possible coping mechanisms include localization, excretion, and dilution to weaken the toxic effects of these heavy metals. These mangrove root's ability to defend themselves againts environmental pressure can reduce negative impacts on the ecosystem (Sunkur et al 2023). Variations in the accumulation of specific metals depend on their respective physiological rhythms and the ecological conditions of the environment they inhabit (Kumar et al 2021).…”

Section: Discussionmentioning

confidence: 99%

Environmental risk assessment of Pb, Cu, Zn, and Cd concentrations accumulated in selected mangrove roots and surrounding their sediment

ROZIRWAN,

KHOTIMAH,

PUTRI

et al. 2024

Biodiversitas

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Abstract. Rozirwan, Khotimah NN, Putri WAE, Fauziyah, Aryawati R, Damiri N, Isnaini, Nugroho RY. 2023. Environmental risk assessment of Pb, Cu, Zn, and Cd concentrations accumulated in selected mangrove roots and surrounding their sediment. Biodiversitas 24: 6733-6742. Mangroves as the largest coastal ecosystem can accumulate heavy metals from their environment. This study aimed to evaluate the environmental risk associated with heavy metal pollution accumulated in the roots of mangroves and the surrounding sediments. The mangrove roots consisted of three species Sonneratia caseolaris, Rhizopora apiculata, and Xylocarpus granatum, collected from three observation stations within the Payung Island mangrove ecosystem in South Sumatra, Indonesia. The concentrations of heavy metals were determined using atomic absorption spectrometry. Statistical analysis employed one-way Analysis of Variance (ANOVA). At the same time, ecological risk assessment utilized the Bioconcentration Factor (BCF), Geoaccumulation Index (Igeo), Contamination factor (Cf), and Pollution Load Index (PLI). The highest sediment concentrations of heavy metals at station 3 were 12.786±0.26 mg/kg for Pb, 10.413±0.011 mg/kg for Cu, 42.752±0.053 mg/kg for Zn, and Cd was not detected. In mangrove roots, the highest concentrations were found in S. caseolaris, with 2.596±0.002 mg/kg for Pb and 11.881±0.015 mg/kg for Zn, while X. granatum exhibited 8.850±0.011 mg/kg for Cu and 0.160±0.020 mg/kg for Cd. BCF values <1 were categorized as exclusion, Igeo<0 indicated non-contamination, Cf<1 signified low pollution, and PLI<0 denoted an unpolluted status. Based on the results, the quality of the mangrove ecosystems affected by heavy metal pollution is currently considered safe regarding environmental risk assessment.

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Section: Discussionmentioning

confidence: 99%

Environmental risk assessment of Pb, Cu, Zn, and Cd concentrations accumulated in selected mangrove roots and surrounding their sediment

ROZIRWAN,

KHOTIMAH,

PUTRI

et al. 2024

Biodiversitas

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“…The potential interactions among these predictors further highlight the complexity of the marine ecosystem. For example, the positive effects of natural vegetation may be mediated by its role in regulating coastal water quality and mitigating the effects of excessive rainfall or algal blooms [68][69][70]. Similarly, the influence of the SOI on landings may be modulated by its effects on local rainfall patterns and phytoplankton abundance [71,72].…”

Section: Environmental Variables Affecting Finfish Landingsmentioning

confidence: 99%

Trends and Environmental Drivers of Marine Fish Landings in Cuba’s Most Productive Shelf Area

Olivera-Espinosa,

Rodríguez-Cueto,

Pina-Amargós

et al. 2024

Fishes

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Marine finfish landings in Cuba have decreased during the last 30 years. However, in Cuba’s most productive fishing region, certain species, including rays, herrings, and snappers, have had increased landings over the past decade. Despite these anomalies, no comprehensive analysis of the interactions among multispecies landing dynamics, environmental factors, and fishing efforts has been carried out. This study estimates the dynamics of multispecies finfish landings between 1981 and 2017 on the southeastern coast of Cuba. A log-normal generalized additive model (GAM) was fit to evaluate the effects of various environmental and effort-related variables on the total landings. During the period analyzed, the finfish landings and fishing effort decreased by 46% and over 80%, respectively. Despite concerns about overfishing, landings per unit of effort (LPUE) increased by 2.8 times. The total fish landings were significantly related to changes in the fishing effort, coastal vegetation, rainfall, chlorophyll-a, and the Southern Oscillation Index (SOI). This study highlights the changing relationship between the landings and fishing effort, suggesting that LPUE may not accurately reflect true stock abundance. The findings of this study will assist in integrating the dynamics of finfish species, ecosystem status, and management actions for Cuba’s most productive fishing zone.

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“…Today, as climate change takes its toll on the global population, healthy mangrove ecosystems are viewed as ecosystems of hope to store carbon and build resilience against looming coastal hazards 5 . In fact, mangroves are now recognized as one of the most effective nature based solutions for climate change adaption and to reduce disaster risk 6 . Nevertheless, mangroves face severe terrestrial and oceanic pressures, natural and anthropogenic, because of their particular location in the intertidal zone 5 .…”

Section: Introductionmentioning

confidence: 99%

Mangrove mapping and monitoring using remote sensing techniques towards climate change resilience

Sunkur,

Kantamaneni,

Bokhoree

et al. 2024

Sci Rep

Self Cite

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Mangroves are amongst the richest ecosystems in the world providing valuable goods and services to millions of people while enhancing the resilience of coastal communities against climate change induced hazards, especially island nations. However, these mangroves are severely affected by many anthropogenic activities. Therefore, understanding the spatial variability of mangroves in island nations is highly essential in the events of ongoing climatic change. Thus, this study assessed the use of remote sensing techniques and GIS to map and monitor mangrove cover change at selected sites, namely Le Morne and Ferney, on the tropical island of Mauritius. Freely available 2013 SPOT-5 and 2023 Sentinel 2A images were retrieved and processed using ArcGIS Pro tools and SNAP; mangroves were mapped based on Google Earth Pro historical imagery and ground truthing at the respective sites. Following the application of selected vegetation indices, GLCM and PCA analysis, mosaicked images were classified using the Random Trees algorithm. Kappa values of all the classified images were in the 90 s; Le Morne showed a significant increase in mangrove cover over the decadal scale with main class change from mudflat to mangroves. This study demonstrates how geo-spatial tools are crucial for monitoring mangroves as they provide spatially explicit and time sensitive information. Decision makers, researchers, and relevant stakeholders can utilize this data to bolster tailored mitigation and adaptation strategies at specific sites, thereby enhancing resilience to climate change.

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Mangroves' role in supporting ecosystem-based techniques to reduce disaster risk and adapt to climate change: A review

Cited by 18 publications

References 58 publications

Environmental risk assessment of Pb, Cu, Zn, and Cd concentrations accumulated in selected mangrove roots and surrounding their sediment

Environmental risk assessment of Pb, Cu, Zn, and Cd concentrations accumulated in selected mangrove roots and surrounding their sediment

Trends and Environmental Drivers of Marine Fish Landings in Cuba’s Most Productive Shelf Area

Mangrove mapping and monitoring using remote sensing techniques towards climate change resilience

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