Below-ground root yield and distribution in natural and replanted mangrove forests at Gazi bay, Kenya

Tamooh, Fredrick; Huxham, Mark; Karachi, M.; Mencuccini, Maurizio; Kairo, James Gitundu; Kirui, Bernard

doi:10.1016/j.foreco.2008.06.026

Cited by 108 publications

(80 citation statements)

References 33 publications

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“…In AV2, despite the intense burrowing crab activity, more prolonged waterlogging condition than in AV1 likely prevents SOM oxidation (Marchand et al, 2004), leading to a significantly highest SOC content in the 0-20 cm soil interval. We can hypothesise that AV1, as representative soil of the margin of the Avicennia belt, evidences a zone that might shift to a more degraded condition due to a progressive depletion of organic matter and nutrients, especially in the upper 40 cm of soil where live root biomass is significantly concentrated (Komiyama et al, 2000;Tamooh et al, 2008). Conversely, the effect of burrowing crabs on OC storage was suggested by the significantly higher SOC in the deepest soil layer (40-80 cm), in sites where sesarmids are abundant (AV1-AV2 and RHI), than in those where they are absent (DES1-DES2-AV3 and CER).…”

Section: Discussionmentioning

confidence: 99%

Mangrove carbon sink. Do burrowing crabs contribute to sediment carbon storage? Evidence from a Kenyan mangrove system

Andreetta

Fusi

Cameldi

et al. 2014

Journal of Sea Research

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Mangrove ecosystems are acknowledged as a significant carbon reservoir, with a potential key role as carbon sinks. Little however is known on sediment/soil capacity to store organic carbon and the impact of benthic fauna on soil organic carbon (SOC) stock in mangrove C-poor soils. This study aimed to investigate the effects of macrobenthos on SOC storage and dynamic in mangrove forest at Gazi Bay (Kenya). Although the relatively low amount of organic carbon (OC%) in these soils, they resulted in the presence of large ecosystem carbon stock comparable to other forest ecosystems. SOC at Gazi bay ranged from 3.6 kg m −2 in a Desert-like belt to 29.7 kg m −2 in the Rhizophora belt considering the depth soil interval from 0 cm to 80 cm. The high spatial heterogeneity in the distribution and amount of SOC seemed to be explained by different dominant crab species and their impact on the soil environment. A further major determinant was the presence, in the subsoil, of horizons rich in organic matter, whose dating pointed to their formation being associated with sea level rise over the Holocene. Dating and soil morphological characters proved to be an effective support to discuss links between the strategies developed by macrobenthos and soil ecosystem functioning.

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Section: Discussionmentioning

confidence: 99%

Mangrove carbon sink. Do burrowing crabs contribute to sediment carbon storage? Evidence from a Kenyan mangrove system

Andreetta

Fusi

Cameldi

et al. 2014

Journal of Sea Research

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“…Roem. These species are also found in Kenya and Mozambique (Tamooh et al 2008;Fatoyinbo et al 2008;Mohamed et al 2009). All mangroves in Tanzania are declared as forest reserves and managed by the Tanzania Forest Service Agency under the Ministry of Natural Resources and Tourism (URT 2002).…”

Section: Study Areamentioning

confidence: 92%

Above- and belowground tree biomass models for three mangrove species in Tanzania: a nonlinear mixed effects modelling approach

Njana

Bollandsås

Eid

et al. 2015

Annals of Forest Science

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Abstract& Key message Tested on data from Tanzania, both existing species-specific and common biomass models developed elsewhere revealed statistically significant large prediction errors. Species-specific and common above-and belowground biomass models for three mangrove species were therefore developed. The species-specific models fitted better to data than the common models. The former models are recommended for accurate estimation of biomass stored in mangrove forests of Tanzania. & Context Mangroves are essential for climate change mitigation through carbon storage and sequestration. Biomass models are important tools for quantifying biomass and carbon stock. While numerous aboveground biomass models exist, very few studies have focused on belowground biomass, and among these, mangroves of Africa are hardly or not represented. & Aims The aims of the study were to develop above-and belowground biomass models and to evaluate the predictive accuracy of existing aboveground biomass models developed for mangroves in other regions and neighboring countries when applied on data from Tanzania. & Methods Data was collected through destructive sampling of 120 trees (aboveground biomass), among these 30 trees were sampled for belowground biomass. The data originated from four sites along the Tanzanian coastline covering three dominant species: Avicennia marina (Forssk.) Vierh, Sonneratia alba J. Smith, and Rhizophora mucronata Lam. The biomass models were developed through mixed modelling leading to fixed effects/common models and random effects/speciesspecific models. & Results Both the above-and belowground biomass models improved when random effects (species) were considered. Inclusion of total tree height as predictor variable, in addition to diameter at breast height alone, further improved the model predictive accuracy. The tests of existing models from other regions on our data generally showed large and significant prediction errors for aboveground tree biomass. Handling Editor: Shuqing ZhaoContribution of co-authors: Njana: Took part in design of research, responsible for data collection and preparation, and for data analysis and manuscript development. O. M. Bollandsås: Supervising the work including providing technical guidance on data analysis and commenting on the manuscript. T. Eid: Took part in design of the research, supervising the work, commenting, and manuscript development. E. Zahabu: Supervising the work and commenting on the manuscript. R. Malimbwi: Coordinating the design of research project and commenting on the manuscript.

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“…This partially explain why the BGB/ AGB ratio in this study was lower than the ratios reported in Miao et al (1998) and Zan et al (2001) since both studies excavated roots up to the depth until no roots can be found. The excavation approach is better than soil core approach in estimating biomass of roots, especially small and coarse roots (Bledsoe et al 1999;Tamooh et al 2008).…”

Section: High Biomass Accumulation In S Apetala Plantationsmentioning

confidence: 99%

Biomass accumulation and carbon storage of four different aged Sonneratia apetala plantations in Southern China

et al. 2009

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The objectives of this study were to examine plant biomass accumulation and carbon (C) storage in four different aged Sonneratia apetala plantations in the Leizhou Bay in South China. The allometric equations using diameter at breast height (DBH) and height (H) were developed to quantify plant biomass. The total forest biomass (TFB) of S. apetala plantation at 4, 5, 8, and 10 years old was 47.9, 71.7, 95.9, and 108.1 Mg ha −1 , respectively. The forest biomass C storage in aboveground (AGB) and roots at 4, 5, 8, and 10-year plantation was 19.9, 32.6, 42.0, 49.0 Mg ha −1 , respectively. Soil organic C (SOC) on the top 20 cm of sediments increased by 0.3, 6.8, 27.4, and 35.0 Mg ha −1 after 4, 5, 8, and 10 years of reforestation, respectively. The average annual rate of total carbon storage (TCS) accumulation at 4, 5, 8, and 10-year S. apetala plantation was 5.0, 7.9, 8.7, and 8.4 Mg ha −1 yr −1 , respectively. The TCS values in this study were underestimated because we only estimated SOC storage on the top 20-cm sediments in these plantations. This study suggests these young S. apetala plantations have the characteristics of fast growth, high biomass accumulation, and high C storage capacity, especially in sediments. They sequestrated C at a high but varying rate over time. The large-scale reforestation of S. apetala plantations in the open coastal mudflats in southern China has great potential to sequestrate more C as well as restore the degraded coastal land. The potential ecological issues associated with the increasing monoculture plantations were discussed. More long-term monitoring and research are needed to further evaluate biomass and C accumulation of S. apetala plantations over time as well as how the increasing distribution of this monoculture plantation will influence the few native mangrove remnants.

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Below-ground root yield and distribution in natural and replanted mangrove forests at Gazi bay, Kenya

Cited by 108 publications

References 33 publications

Mangrove carbon sink. Do burrowing crabs contribute to sediment carbon storage? Evidence from a Kenyan mangrove system

Mangrove carbon sink. Do burrowing crabs contribute to sediment carbon storage? Evidence from a Kenyan mangrove system

Above- and belowground tree biomass models for three mangrove species in Tanzania: a nonlinear mixed effects modelling approach

Biomass accumulation and carbon storage of four different aged Sonneratia apetala plantations in Southern China

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