Mangrove degradation and response to anthropogenic disturbance in the Maowei Sea (SW China) since 1926 AD: Mangrove-derived OM and pollen

Meng, Xianwei; Xia, Peng; Li, Zhen; Meng, Dezhen

doi:10.1016/j.orggeochem.2016.06.001

Cited by 39 publications

(10 citation statements)

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“…Therefore, the values of δ 13 C org and C/N of mangrove leaves can be regarded as endmember values of mangrove production. The average δ 13 C org and C/N values of the leaves of different mangrove species (n 30) collected along the Guangxi coasts were −28.6 ± 0.9‰ and 36.4 ± 12.5 (Xia et al, 2015;Meng et al, 2016b), respectively, and are consistent with those from Hainan Island in tropical China (Herbeck et al, 2011). They can thus be reasonably regarded as the endmember in this study.…”

Section: Potential Sources Of Organic Matter and Their Endmember Valuessupporting

confidence: 81%

“…The endmember mixing model is a classical method by which the proportional contributions of different sources to a mixture OM can be quantified (Dittmar et al, 2001;Gonneea et al, 2004). Models based on δ 13 C and/or C/N have been widely used to identify the sources of OM in the sediments or suspended solids of different ecosystems, such as rivers (Liu et al, 2019;Zhang et al, 2021), lakes (Dong et al, 2020), and ocean (Gonneea et al, 2004;Xia et al, 2015;Meng et al, 2016bMeng et al, , 2017. The formulae for the ternary mixing model based on δ 13 C and C/N are as follows:…”

Section: Endmember Mixing Models For Discriminating Organic Matter Sourcesmentioning

confidence: 99%

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Response of Mangrove Development to Air Temperature Variation Over the Past 3000 Years in Qinzhou Bay, Tropical China

et al. 2021

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Mangroves, a blue carbon ecosystem between land and ocean in the (sub)tropics, are sensitive to changes in climate and the sea level. It is imperative to reconstruct the historical dynamics of their development to predict the fate of mangrove ecosystems in the backdrop of rapid global changes. This study analyzes records of the sources of organic matter from sediment core Q43 of Qinzhou Bay in tropical China by using the endmember mixing model based on stable organic carbon isotopes and C/N ratio. Mangrove-derived organic matter (MOM) is regarded as a reliable indicator for reconstructing the historical development of mangroves. The variations in MOM in Qinzhou Bay over the past ∼3,000 cal yr BP indicate that mangrove forests underwent two periods of flourishment: ∼2,200–1,750 cal yr BP and ∼1,370–600 cal yr BP, as well as three periods of deterioration: ∼3,000–2,200 cal yr BP, ∼1,750–1,370 cal yr BP, and ∼600–0 cal yr BP. Of factors that might have been influential, changes in the relative sea level and the regional hydrological environment (e.g., seawater temperature, salinity, and hydrodynamic conditions) did not appear to have notable effects on mangrove flourishing/degradation. However, climate change, especially the variation in air temperature, formed the primary factor controlling mangrove development. The stages of mangrove flourishing/deterioration corresponded to the warm/cold periods of the climate, respectively. Noteworthy is that the rapid rise in air temperature during the Anthropocene warm period should have promoted mangrove development, but the increasing intensity of human activity has reversed this tendency leading to the degradation of mangroves.

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Section: Potential Sources Of Organic Matter and Their Endmember Valuessupporting

confidence: 81%

Section: Endmember Mixing Models For Discriminating Organic Matter Sourcesmentioning

confidence: 99%

Response of Mangrove Development to Air Temperature Variation Over the Past 3000 Years in Qinzhou Bay, Tropical China

et al. 2021

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“…About 90% of the global mangroves are growing in developing countries of South-East Asia and South America and they are at great risk facing degradation and fragmentation of the habitats 33 . Degradation of mangrove ecosystem is widespread and till date has been reported from countries like Malayasia 34 , Indonesia 35 , Ecuador 36 , Philippines 37 , Sri Lanka 38 , Brazil 39 , Pakistan 40 and China 41 . The conservation of the mangrove environment and its ecosystem services depends upon identifying regions that are at great risk and need to be saved from negative impact of further degradation.…”

Section: Discussionmentioning

confidence: 99%

Forecasting mangrove ecosystem degradation utilizing quantifiable eco-physiological resilience -A study from Indian Sundarbans

Begam

Chowdhury

Sutradhar

et al. 2020

Sci Rep

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Sundarbans mangrove forest, the world's largest continuous mangrove forests expanding across India and Bangladesh, in recent times, is immensely threatened by degradation stress due to natural stressors and anthropogenic disturbances. The degradation across the 19 mangrove forests in Indian Sundarbans was evaluated by eight environmental criteria typical to mangrove ecosystem. In an attempt to find competent predictors for mangrove ecosystem degradation, key eco-physiological resilience trait complex specific for mangroves from 4922 individuals for physiological analyses with gene expression and 603 individuals for leaf tissue distributions from 16 mangroves and 15 associate species was assessed along the degradation gradient. The degradation data was apparently categorized into four and CDFA discriminates 97% of the eco-physiological resilience data into corresponding four groups. Predictive Bayesian regression models and mixed effects models indicate osmolyte accumulation and thickness of water storage tissue as primary predictors of each of the degradation criteria that appraise the degradation status of mangrove ecosystem. RDA analyses well represented response variables of degradation explained by explanatory resilience variables. We hypothesize that with the help of our predictive models the policy makers could trace even the cryptic process of mangrove degradation and save the respective forests in time by proposing appropriate action plans.

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“…Despite their value, mangroves suffer increasing pressure from expanding human activities [19–21], and are being reduced at a rate of 1–2% per annum, worldwide [22–25]. In Brazil, while all mangrove habitat is considered to be an Area of Permanent Preservation (APP) [26], an area of 500 km 2 has been lost over the past 25 years, primarily on the country’s southern coast [18].…”

Section: Introductionmentioning

confidence: 99%

The effect of anthropogenic drivers on spatial patterns of mangrove land use on the Amazon coast

et al. 2019

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Mangroves play an essential ecological role in the maintenance of the coastal zone and are extremely important for the socioeconomics of coastal communities. However, mangrove ecosystems are impacted by a range of anthropogenic pressures, and the loss of this habitat can be attributed primarily to the human occupation of the coastal zone. In the present study, we analyzed the spatial patterns of land use in the mangrove of the Brazilian Amazon coast, and evaluated the anthropogenic drivers of this impact, using a remote sensing approach. We mapped the road network using RapidEye images, and human settlements using global data. The results of these analyses indicate that the Brazilian Amazon coast has a low population density and low rates of anthropogenic impact in most of the coastal microregions investigated, factors that contribute to the maintenance and conservation of the region’s mangrove. The study also revealed that the paved road network is one of the principal drivers of land use in the mangrove, whereas other factors, such as population density, urban centers, and the number of settlements are much less important. While the region has 2024 km of paved highways, unpaved roads (17,496 km) facilitate access to the mangrove, with approximately 90% of anthropogenic impact being recorded within a 3 km radius of these roads. While the network of paved highways is relatively reduced in extension, preventive measures are urgently required to impede any major shift in the current scenario, caused by the expansion of major development programs. The results of the study indicate that biophysical, economic, and political factors may also contribute to the reduction, stability, and development of one of the world’s largest areas of mangrove forest.

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Mangrove degradation and response to anthropogenic disturbance in the Maowei Sea (SW China) since 1926 AD: Mangrove-derived OM and pollen

Cited by 39 publications

References 41 publications

Response of Mangrove Development to Air Temperature Variation Over the Past 3000 Years in Qinzhou Bay, Tropical China

Response of Mangrove Development to Air Temperature Variation Over the Past 3000 Years in Qinzhou Bay, Tropical China

Forecasting mangrove ecosystem degradation utilizing quantifiable eco-physiological resilience -A study from Indian Sundarbans

The effect of anthropogenic drivers on spatial patterns of mangrove land use on the Amazon coast

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