Climate change-induced salinity variation impacts on a stenoecious mangrove species in the Indian Sundarbans

Banerjee, Kakoli; Gatti, Roberto Cazzolla; Mitra, Abhijit

doi:10.1007/s13280-016-0839-9

Cited by 58 publications

(26 citation statements)

References 23 publications

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“…We detect a significant negative effect of HH on alpha and gamma diversities, although DP has no visible effect. This discrepancy may be related to local extinction of many rare endemics during past formal and informal logging activities and high DP (top‐dying and heart rot diseases) in the specialists (i.e., H. fomes and X. mekongensis ) (Banerjee, Gatti, & Mitra, ) that might not lead to their extirpation but reduced their relative abundances in a higher amount compared to the generalists. However, for beta diversity, both HH and DP contributed to increasing homogeneity in species composition across the SCs (Figure ).…”

Section: Discussionmentioning

confidence: 99%

“…Sea level rise is likely to have drastic impacts on mangrove forests worldwide, particularly, the Sundarbans. Under the projected range of sea level rise by 2,100 (30–100 cm) (Karim & Mimura, ), the Sundarbans is likely to lose 10%–23% of its present area (Payo et al, ) with alteration to soil biogeochemistry (Banerjee et al, ) and estuarine hydrology (Wahid et al, ). Given the severity of these future environmental impacts on Sundarbans, identifying the existing and future environmental stressors of mangrove biodiversity is important.…”

Section: Discussionmentioning

confidence: 99%

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Modelling spatial biodiversity in the world’s largest mangrove ecosystem—The Bangladesh Sundarbans: A baseline for conservation

Sarker

Reeve

Paul³

et al. 2019

Diversity and Distributions

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Aim: Mangrove forests are among the most threatened and rapidly vanishing, but poorly understood ecosystems. We aim to uncover the variables driving mangrove biodiversity and produce baseline biodiversity maps for the Sundarbans world heritage site-the Earth's largest contiguous mangrove ecosystem. Location:The Bangladesh Sundarbans, South Asia. Methods:We collected species abundance, environmental and disturbance data from 110 permanent sample plots (PSPs) covering the entire Bangladesh Sundarbans (6,017 km 2 ). We applied generalized additive models to determine the key variables shaping the spatial distributions of mangrove diversity and community composition.Biodiversity maps were constructed using covariate-driven habitat models, and their predictive performances were compared with covariate-free (i.e., direct interpolation) approaches to see whether the inclusion of habitat variables bolster spatial predictions of biodiversity or whether we can rely on direct interpolation approaches when environmental data are not available.Results: Historical forest exploitation, disease, siltation and soil alkalinity were the key stressors causing loss of alpha and gamma diversity in mangrove communities.Both alpha and gamma diversity increased along the downstream-to-upstream and riverbank-to-forest interior gradients. Mangrove communities subjected to intensive past tree harvesting, disease outbreaks and siltation were more homogeneous in species composition (beta diversity). In contrast, heterogeneity in species composition increased along decreasing salinity and downstream-to-upstream gradients. We find that the surviving biodiversity hotspots (comprising many globally endangered tree species) are located outside the established protected area network and hence open to human exploitation. We therefore suggest bringing them immediately under protected area management. Main conclusions:We provide the first habitat-based modelling and mapping of alpha, beta and gamma diversity in threatened mangrove communities. In general, habitat-based models showed better predictive ability than the covariate-free approach. Nevertheless, the small margin of differences between the approaches

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Modelling spatial biodiversity in the world’s largest mangrove ecosystem—The Bangladesh Sundarbans: A baseline for conservation

Sarker

Reeve

Paul³

et al. 2019

Diversity and Distributions

View full text Add to dashboard Cite

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“…Global climate change represents a major constraint to meet the world food demand by affecting the conditions under which crops can be grown, in particular due to increasing salinization and aridity (Vineis et al 2011;Vineis and Khan 2012;Banerjee et al 2017). Indeed, increasing salinization is projected to affect more than 50% of all arable lands by the year 2050 (Jamil et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Physiological and biochemical markers for screening salt tolerant quinoa genotypes at early seedling stage

Derbali

Goussi

Koyro

et al. 2020

Journal of Plant Interactions

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The present study was conducted to determine the predictive screening parameters of quinoa salt tolerance that can be applied at early development stages, based on physiological and biochemical approaches. Four quinoa varieties (Tumeko, Red Faro, Kcoito and UDEC-5) were cultivated using hydroponic system, and treated for 2 weeks with different NaCl concentrations (0, 100, 300 and 500 mM). Salt treatment induced a decrease of plant growth depending on NaCl concentrations, plant organs and varieties. Red Faro and UDEC-5 exhibited low level of Na + accumulation and high K/Na selectivity. UDEC-5 showed high stomatal conductance leading to high net photosynthesis, even at 500 mM NaCl. Red Faro and UDEC-5 exhibited low level of lipid peroxidation, high antioxidant activities and high proline accumulation, as an indicator of ROS defense and osmotic adjustment. This study suggested that these physiological and biochemical traits could be used as screening criteria for selecting salt tolerant genotype. ARTICLE HISTORY

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“…While much of the Sundarbans has been designated a United Nations Educational, Scientific and Cultural Organization (UNESCO) World Heritage Site [23], it remains threatened by anthropogenic activities such as over-exploitation, illegal logging, pollution, and expanding industries such as shrimp farming. In addition, rising sea levels are increasing salinity in the delta, with adverse effects on the dominant mangrove species, Heritiera fomes [24,25]. There is also evidence that the frequency of tropical cyclones making landfall in Bangladesh is increasing [26].…”

Section: Introductionmentioning

confidence: 99%

Using Continuous Change Detection and Classification of Landsat Data to Investigate Long-Term Mangrove Dynamics in the Sundarbans Region

et al. 2019

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Mangrove forests play a global role in providing ecosystem goods and services in addition to acting as carbon sinks, and are particularly vulnerable to climate change effects such as rising sea levels and increased salinity. For this reason, accurate long-term monitoring of mangrove ecosystems is vital. However, these ecosystems are extremely dynamic and data frequency is often reduced by cloud cover. The Continuous Change Detection and Classification (CCDC) method has the potential to overcome this by utilising every available observation on a per-pixel basis to build stable season-trend models of the underlying phenology. These models can then be used for land cover classification and to determine greening and browning trends. To demonstrate the utility of this approach, CCDC was applied to a 30-year time series of Landsat data covering an area of mangrove forest known as the Sundarbans. Spanning the delta formed by the confluence of the Ganges, Brahmaputra and Meghna river systems, the Sundarbans is the largest contiguous mangrove forest in the world. CCDC achieved an overall classification accuracy of 94.5% with a 99% confidence of being between 94.2% and 94.8%. Results showed that while mangrove extent in the Sundarbans has remained stable, around 25% of the area experienced an overall negative trend, probably due to the effect of die-back on Heritiera fomes. In addition, dates and magnitudes of change derived from CCDC were used to investigate damage and recovery from a major cyclone; 11% of the Sundarbans was found to have been affected by Cyclone Sidr in 2007, 47.6% of which had not recovered by mid-2018. The results indicate that while the Sundarbans forest is resilient to cyclone events, the long-term degrading effects of climate change could reduce this resilience to critical levels. The proposed methodology, while computationally expensive, also offers means by which the full Landsat archive can be analyzed and interpreted and should be considered for global application to mangrove monitoring.

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Climate change-induced salinity variation impacts on a stenoecious mangrove species in the Indian Sundarbans

Cited by 58 publications

References 23 publications

Modelling spatial biodiversity in the world’s largest mangrove ecosystem—The Bangladesh Sundarbans: A baseline for conservation

Modelling spatial biodiversity in the world’s largest mangrove ecosystem—The Bangladesh Sundarbans: A baseline for conservation

Physiological and biochemical markers for screening salt tolerant quinoa genotypes at early seedling stage

Using Continuous Change Detection and Classification of Landsat Data to Investigate Long-Term Mangrove Dynamics in the Sundarbans Region

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