The economic evaluation of carbon storage and sequestration as ecosystem services of mangroves: a case study from southeastern Brazil

Estrada, Gustavo Calderucio Duque; Soares, Mário Luiz Gomes; Fernadez, Viviane; Almeida, Paula Maria Moura de

doi:10.1080/21513732.2014.963676

Cited by 38 publications

(21 citation statements)

References 22 publications

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“…Mangroves are the world's most productive and unique wetland ecosystems in intertidal regions of the tropical and subtropical coasts (Nagarajan et al 2008;Estrada et al 2014). These unique ecosystems are regularly inundated by tidal action, while numerous materials are exchanged within mangroves and adjacent aquatic ecosystems (Ye et al 2011).…”

Section: Introductionmentioning

confidence: 98%

Litterfall production in a tropical mangrove of Sarawak, Malaysia

Hoque

Kamal

Idris

et al. 2015

Zoology and Ecology

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Assessment of litterfall production is essential to ascertain the status of nutrient cycling and forest health. Sarawak, Malaysia, is endowed with numerous pristine and estuarine mangroves; however, research on primary productivity of these forests is scanty. Therefore, litterfall production in a pristine Sibuti mangrove of Sarawak was estimated using litter traps for one year (January-December 2013), and forest structure was studied through tree census. The forest was dominated by Rhizophora apiculata (relative density [RD] was 77.11%), followed by Xylocarpus granatum (RD was 16.92%) and other species (RD was only 5.97%). The annual dry weight of litterfalls was estimated to be 1640.82 g m −2 , of which R. apiculata contributed 92.94%, followed by X. granatum (4.01%) and other species (3.05%). Leaves were the most abundant (57.21%) contributory component of litters, followed by propagules (11.89%), flowers (10.85%), twigs (8.56%), and stipules (8.45%). No significant correlations were found for total litterfall and its major components with climatic variables and forest structure. Total litterfall of R. apiculata and X. granatum did not show any seasonal variations. However, leaf litter of R. apiculata showed a significant seasonal variation between intermediate (January-April) and wet (September-December) seasons. The litterfall production of Sibuti mangrove forest is higher in comparison to other tropical mangroves of the world. The higher productivity of the forest could be due to nutrient availability, pristine nature, and stand maturity of the forest rather than climatic influences. The findings of the study suggest that litterfall production of the pristine Sibuti mangrove is not influenced by the variability of climatic factors.Maisto medžiagų apykaitos miške ir jo būklės įvertinimui labai svarbūs nuokritų susidarymo tyrimai. Daug žmogaus veiklos nepaliestų ir nepakankamai ištirtų estuarinių mangrovių yra Malaizijoje, Saravako valstijoje. Saravake esančioje Sibuti mangrovėje nuo 2013 m. sausio iki gruodžio miško nuokritų susidarymas buvo tiriamas nuokritų gaudyklėmis. Įvertinta medžių rūšinė sudėtis: dominavo Rhizophora apiculata -77,11% ir Xylocarpus granatum -16,92%, kitų rūšių medžiai sudarė 5,97%. Sausas nuokritų svoris per metus buvo 1640,82 g/m 2 , iš jų R. apiculata -92,94%; X. granatum -4,01%, kitų rūšių -3,05%. 57,21% nuokritų sudarė lapai, 11,89% -vegetatyvinio dauginimosi dalys, 10,85% -žiedai, 8,56% -šakelės, 8,45% -prielapiai. Nuokritų ir jų dalių kiekis nebuvo patikimai susijęs su klimato sąlygų kaita ar miško struktūra. Nustatyta, kad bendras R. apiculata ir X. granatum nuokritų gausumas nepriklauso nuo sezono, tačiau R. apiculata lapų nuokritų gausumas ženkliai skyrėsi pereinamojo (sausio-balandžio) ir drėgnojo (rugsėjo-gruodžio) sezonų metu. Sibuti mangrovėje nuokritų susidarymo produktyvumas yra didesnis nei kitose pasaulio tropinėse mangrovėse. Didesnis šio miško produktyvumas daugiau priklauso nuo maisto medžiagų kiekio, gamtos natūralumo ir miško brandos negu nuo klimatinių sąlygų. T...

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Section: Introductionmentioning

confidence: 98%

Litterfall production in a tropical mangrove of Sarawak, Malaysia

Hoque

Kamal

Idris

et al. 2015

Zoology and Ecology

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“…Plot sizes varied between 121 and 560 m 2 , depending on the density of individuals and their homogeneity in terms of structural features and species composition. The following tree measures were obtained during field surveys in 2010-2011, according to the methods proposed by [45,53] and described in [54,55]: (i) individual tree height; (ii) stem diameter at breast height (DBH); (iii) identification of the plant at the species level; (iv) living status of the stems (alive or dead). DBH of all stems >1 m tall were obtained using a measuring tape.…”

Section: Ground Datamentioning

confidence: 99%

Reducing Uncertainty in Mapping of Mangrove Aboveground Biomass Using Airborne Discrete Return Lidar Data

et al. 2018

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Remote sensing techniques offer useful tools for estimating forest biomass to large extent, thereby contributing to the monitoring of land use and landcover dynamics and the effectiveness of environmental policies. The main goal of this study was to investigate the potential use of discrete return light detection and ranging (lidar) data to produce accurate aboveground biomass (AGB) maps of mangrove forests. AGB was estimated in 34 small plots scatted over a 50 km 2 mangrove forest in Rio de Janeiro, Brazil. Plot AGB was computed using either species-specific or non-species-specific allometric models. A total of 26 descriptive lidar metrics were extracted from the normalized height of the lidar point cloud data, and various model forms (random forest and partial least squares regression with backward selection of predictors (Auto-PLS)) were tested to predict the recorded AGB. The models developed using species-specific allometric models were distinctly more accurate (R 2 (calibration) = 0.89, R 2 (validation) = 0.80, root-mean-square error (RMSE, calibration) = 11.20 t·ha −1 , and RMSE(validation) = 14.80 t·ha −1 ). The use of non-species-specific allometric models yielded large errors on a landscape scale (+14% or −18% bias depending on the allometry considered), indicating that using poor quality training data not only results in low precision but inaccuracy at all scales. It was concluded that under suitable sampling pattern and provided that accurate field data are used, discrete return lidar can accurately estimate and map the AGB in mangrove forests. Conversely this study underlines the potential bias affecting the estimates of AGB in other forested landscapes where only non-species-specific allometric equations are available.

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“…Limited research into mangrove carbon stocks exists for South America. Within Brazil, the aboveground living biomass carbon stock of mangrove has been shown to average 61.33 t C ha -1 , with fringe mangroves averaging 90 t C ha -1 , basin mangroves 59 t C ha -1 and transition mangroves 25 t C ha -1 (Estrada et al 2014). This approach utilized allometric equations and field measurements to calculate forest carbon.…”

Section: Figure 1 Mangrove Carbon Density In Relation To Latitudementioning

confidence: 99%

The Carbon Holdings of Northern Ecuador's Mangrove Forests

Hamilton

Lovette

Borbor-Córdova

et al. 2016

Annals of the American Association of Geographers

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Within a GIS environment, we combine field measures of mangrove diameter, mangrove species distribution, and mangrove density with remotely sensed measures of mangrove location and mangrove canopy cover to estimate the mangrove carbon holdings of northern Ecuador. We find that the four northern estuaries of Ecuador contain approximately 7,742,999 t (± 15.47 percent) of standing carbon. Of particular high carbon holdings are the Rhizophora mangle dominated mangrove stands found in-and-around the Cayapas-Mataje Ecological Reserve in northern Esmeraldas Province, Ecuador and certain stands of Rhizophora mangle in-and-around the Isla Corazón y Fragata Wildlife Refuge in central Manabí Province, Ecuador. Our field driven mangrove carbon estimate is higher than all but one of the comparison models evaluated. We find that basic latitudinal mangrove carbon models performed at least as well, if not better, than the more complex species based allometric models in predicting standing carbon levels. In addition, we find that improved results occur when multiple models are combined as opposed to relying any one single model for mangrove carbon estimates. The high level of carbon contained in these mangrove forests, combined with the future atmospheric carbon sequestration potential they offer, makes it a necessity that they are included in any future payment for ecosystem services strategy aimed at utilizing forest systems to reduce CO2 emissions and mitigate predicted CO2 driven temperature increases. Key Words: mangrove forests, carbon stock, coastal resources, Ecuadorstem density, tree diameter at breast height (DBH), and tree species. These field based studies most often sample in the species-rich mangrove region of the Indo-West Pacific (IWP) and then apply their findings across all mangroves globally. The second grouping is based on latitudinal estimates of mangrove carbon, usually based themselves on a synthesis of field studies, which are then also applied globally.The latitudinal location of mangroves is important as mangrove biomass, and hence mangrove carbon density, are demonstrated to be inversely related to latitude Saenger and Snedaker 1993) (Figure 1). That is, mangroves closer to the equator typically contain more biomass, and hence more carbon, than those farther away. The two primary drivers of this phenomenon are the mangrove responses to cooler water temperature and to lower levels of insolation. It is demonstrated that lower water temperatures result in reduced mangrove tree height and density (Lugo and Patterson-Zucca 1977) and that mangroves farther from the tropics are exposed to lower levels of insolation which inhibits growth when compared to tropical locations Spalding, Blasco, and Field 1997).

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The economic evaluation of carbon storage and sequestration as ecosystem services of mangroves: a case study from southeastern Brazil

Cited by 38 publications

References 22 publications

Litterfall production in a tropical mangrove of Sarawak, Malaysia

Litterfall production in a tropical mangrove of Sarawak, Malaysia

Reducing Uncertainty in Mapping of Mangrove Aboveground Biomass Using Airborne Discrete Return Lidar Data

The Carbon Holdings of Northern Ecuador's Mangrove Forests

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