Spatial patterns of biomass and soil attributes in an estuarine mangrove forest (Yingluo Bay, South China)

Gang, Wang; Guan, Dongsheng; Zhang, Qiuping; Peart, M. R.; Chen, Yujuan; Peng, Yisheng; Liu, Xiao

doi:10.1007/s10342-014-0817-3

Cited by 13 publications

(9 citation statements)

References 43 publications

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“…One aim of reforestation is to generate a large volume of biomass over a long period, in order to boost SOC in the PRD (Xie, Guo et al 2013). Our study has confirmed that SOC content is positively correlated with biomass, which agrees with related studies based on the performance of other plantation tree species used for reforestation purposes in southern China (Zhang 2009;Dou, Deng et al 2013;Wang, Guan et al 2014). For example, Dou et al (2013) found that reforetation of P. massoniana under eroded red soil after 18-30 years significantly increased soil C levels; the C accumulation following the reforestation appeared to be due to a combination of large biomass input and low C decomposition (Dou, Deng et al 2013).…”

Section: Effect Of Biomass On Soc Storagesupporting

confidence: 90%

The dynamics of carbon accumulation in Eucalyptus and Acacia plantations in the Pearl River delta region

Zhang

Duan

Song

et al. 2018

Annals of Forest Science

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& Key message Plantation type and age strongly influence the quantity of carbon stored in forest ecosystems. The marked increase in total ecosystem carbon stock achieved over time by the Eucalyptus and Acacia plantations has confirmed that the afforestation of degraded soils can contribute positively to carbon sequestration. & Context Reforestation has been widely conducted to restore and protect the eroded red soil in south China in recent decades. The question as to whether the content of soil organic carbon (SOC) can be boosted by establishing plantations of fast-growing tree species remains unresolved. & Aims We addressed whether the afforestation of degraded soils can contribute positively to carbon sequestration, and whether the accumulation of SOC is more effective under a nitrogen fixing species such as Acacia than under Eucalyptus. & Methods Here, a study was undertaken to measure the quantity of total ecosystem carbon (TEC) accumulated by plantations of both Eucalyptus and Acacia spp. in the Pearl River Delta region of southern China. & Results The quantity of TEC increased significantly with stand age in both plantation types (P < 0.05). The largest single component of TEC was SOC, with stand age having a considerable effect on both SOC and overall biomass. The accumulation of SOC in the top 100 cm of the soil profile was higher under Acacia than under Eucalyptus (P < 0.05). & Conclusion In terms of carbon sequestration, the afforestation of Eucalyptus and Acacia represent an effective forest management practice. The accumulation of SOC is more effective under Acacia than under Eucalyptus.Keywords Total ecosystem carbon . Forest type . Stand age . Biomass . Soil organic carbon Contribution of the co-authors Hui Zhang: data collection, analyzed the data, and writing the manuscript. HuaBo Duan: analyze the experimental data and revise the manuscript. MingWei Song: designed experiment program (including all experimental data), further help the first author with the laboratory experiment, and cowrote the manuscript. DongSheng Guan: experimental design, coordinating the research project, and supervised the field measurement.

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Section: Effect Of Biomass On Soc Storagesupporting

confidence: 90%

The dynamics of carbon accumulation in Eucalyptus and Acacia plantations in the Pearl River delta region

Zhang

Duan

Song

et al. 2018

Annals of Forest Science

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“…They are very important coastal ecosystems with which to combat both global warming and sea-level change, as they have a large amount of organic material in their substrates and vegetation (Tue et al 2011;Wang et al 2014). A large amount of soil organic carbon (SOC) may be sequestered and then stored for a long time in the sediment of mangrove ecosystems (Kauffman et al 2011;Kauffman et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Distribution of dissolved organic carbon and KMnO4-oxidizable carbon along the low-to-high intertidal gradient in a mangrove forest

et al. 2015

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Purpose Research on soil organic carbon (SOC) fractions is needed in order to improve the understanding of natural processes that take place in mangroves. This study aimed to evaluate the variation of SOC fractions along a low-to-high intertidal gradient and also investigate the relationship of SOC and vegetation biomass in the mangroves of Yingluo Bay, South China. Materials and methods Soil samples were collected from mangrove quadrats in the different intertidal zones. Total SOC and SOC fractions (such as dissolved organic carbon (DOC) and KMnO 4 -oxidizable carbon (KMnO 4 -C)) were analyzed, and vegetation biomass was also quantified. Results and discussionThe results showed that both the concentrations and pools of the SOC fractions increased along the low-to-high intertidal gradient. The KMnO 4 -C density changed from 5.66 to 8.48 t/ha, while their DOC densities increased from 465.14 to 734.41 kg/ha. Along the low-tohigh intertidal gradient, vegetation biomass and some soil attributes (such as TN, SOC, and soil textural characteristics) showed similar change tendencies as the SOC fractions. Correlation and multiple stepwise regression analysis indicated that DOC was significantly controlled by SOC, while KMnO 4 -C was significantly regulated by both SOC and TN. Multiple stepwise regression of SOC, against the soil attributes and vegetation biomass, revealed that SOC was significantly affected by the salinity and vegetation biomass. In turn, SOC fractions would be indirectly affected by the salinity and vegetation biomass. Conclusions Distribution of SOC fractions showed clear spatial patterns along the low-to-high intertidal gradient. This result indicated that SOC fractions were controlled by the environmental gradients which are created by geomorphological processes.

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“…Others have noted the point that geomorphic condition is often qualitatively defined, and have recently sought to institute ecologically-derived classifications of geomorphic condition for mangroves globally [51]. It is possible that other indicators of tidal position (e.g., Euclidean distance from shoreline or soil salinity) would correlate better to SOC, as spatial variation in vegetation and ecosystem C stocks has been noted well within the literature [29, 36, 37, 52]. However, distance from shoreline and soil salinity are not consistently reported within the academic literature, and thus we did not incorporate them into the models of this study.…”

Section: Discussionmentioning

confidence: 99%

“…Additionally, the dominant genera of a stand may be indicative of tidal position, which may dictate the rate of organic matter decomposition in soils. Recent studies have found evidence that species composition and SOC stocks covary with intertidal zone [29, 37]. Similarly, other research that investigated spatial variation in soil CO 2 fluxes, an indicator of organic matter decomposition, found significant variation with intertidal zone [38].…”

Section: Introductionmentioning

confidence: 98%

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The Use of Mixed Effects Models for Obtaining Low-Cost Ecosystem Carbon Stock Estimates in Mangroves of the Asia-Pacific

Bukoski

Broadhead²,

Donato

et al. 2017

PLoS ONE

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Mangroves provide extensive ecosystem services that support local livelihoods and international environmental goals, including coastal protection, biodiversity conservation and the sequestration of carbon (C). While voluntary C market projects seeking to preserve and enhance forest C stocks offer a potential means of generating finance for mangrove conservation, their implementation faces barriers due to the high costs of quantifying C stocks through field inventories. To streamline C quantification in mangrove conservation projects, we develop predictive models for (i) biomass-based C stocks, and (ii) soil-based C stocks for the mangroves of the Asia-Pacific. We compile datasets of mangrove biomass C (197 observations from 48 sites) and soil organic C (99 observations from 27 sites) to parameterize the predictive models, and use linear mixed effect models to model the expected C as a function of stand attributes. The most parsimonious biomass model predicts total biomass C stocks as a function of both basal area and the interaction between latitude and basal area, whereas the most parsimonious soil C model predicts soil C stocks as a function of the logarithmic transformations of both latitude and basal area. Random effects are specified by site for both models, which are found to explain a substantial proportion of variance within the estimation datasets and indicate significant heterogeneity across-sites within the region. The root mean square error (RMSE) of the biomass C model is approximated at 24.6 Mg/ha (18.4% of mean biomass C in the dataset), whereas the RMSE of the soil C model is estimated at 4.9 mg C/cm3 (14.1% of mean soil C). The results point to a need for standardization of forest metrics to facilitate meta-analyses, as well as provide important considerations for refining ecosystem C stock models in mangroves.

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Spatial patterns of biomass and soil attributes in an estuarine mangrove forest (Yingluo Bay, South China)

Cited by 13 publications

References 43 publications

The dynamics of carbon accumulation in Eucalyptus and Acacia plantations in the Pearl River delta region

The dynamics of carbon accumulation in Eucalyptus and Acacia plantations in the Pearl River delta region

Distribution of dissolved organic carbon and KMnO4-oxidizable carbon along the low-to-high intertidal gradient in a mangrove forest

The Use of Mixed Effects Models for Obtaining Low-Cost Ecosystem Carbon Stock Estimates in Mangroves of the Asia-Pacific

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