Benard Guedes

Mr. Benard Guedes


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 August 2014 in Forests
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Journal Article
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ASAlmeida Alberto Sitoe
Almeida Alberto Sitoe
LMLuis Comissario Mandlate
Luis Comissario Mandlate
BGBenard Guedes
Benard Guedes
Mangroves could be key ecosystems in strategies addressing the mitigation of climate changes through carbon storage. However, little is known regarding the carbon stocks of these ecosystems, particularly below-ground. This study was carried out in the mangrove forests of Sofala Bay, Central Mozambique, with the aim of quantifying carbon stocks of live and dead plant and soil components. The methods followed the procedures developed by the Center for International Forestry Research (CIFOR) for mangrove forests. In this study, we developed a general allometric equation to estimate individual tree biomass and soil carbon content (up to 100 cm depth). We estimated the carbon in the whole mangrove ecosystem of Sofala Bay, including dead trees, wood debris, herbaceous, pneumatophores, litter and soil. The general allometric equation for live trees derived was [Above-ground tree dry weight (kg) = 3.254 × exp(0.065 × DBH)], root mean square error (RMSE = 4.244), and coefficient of determination (R2 = 0.89). The average total carbon storage of Sofala Bay mangrove was 218.5 Mg·ha−1, of which around 73% are stored in the soil. Mangrove conservation has the potential for REDD+ programs, especially in regions like Mozambique, which contains extensive mangrove areas with high deforestation and degradation rates.

26 November 2018 in Carbon Balance and Management
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Journal Article
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SLSa Lisboa
Sa Lisboa
BGBenard Guedes
Benard Guedes
Natasha RibeiroNatasha Ribeiro
Natasha Ribeiro
ASAlmeida Alberto Sitoe
Almeida Alberto Sitoe
Worldwide, forests are an important carbon sink and thus are key to mitigate the effects of climate change. Mountain moist evergreen forests in Mozambique are threatened by agricultural expansion, uncontrolled logging, and firewood collection, thus compromising their role in carbon sequestration. There is lack of local tools for above-ground biomass (AGB) estimation of mountain moist evergreen forest, hence carbon emissions from deforestation and forest degradation are not adequately known. This study aimed to develop biomass allometric equations (BAE) and biomass expansion factor (BEF) for the estimation of total above-ground carbon stock in mountain moist evergreen forest. The destructive method was used, whereby 39 trees were felled and measured for diameter at breast height (DBH), total height and the commercial height. We determined the wood basic density, the total dry weight and merchantable timber volume by Smalian’s formula. Six biomass allometric models were fitted using non-linear least square regression. The BEF was determined based on the relationship between bole stem dry weight and total dry weight of the tree. To estimate the mean AGB of the forest, a forest inventory was conducted using 27 temporary square plots. The applicability of Marzoli’s volume equation was compared with Smalian’s volume equation in order to check whether Marzoli’s volume from national forest inventory can be used to predict AGB using BEF. The best model was the power model with only DBH as predictor variable, which provided an estimated mean AGB of 291 ± 141 Mg ha−1 (mean ± 95% confidence level). The mean wood basic density of sampled trees was 0.715 ± 0.182 g cm−3. The average BEF was of 2.05 ± 0.15 and the estimated mean AGB of 387 ± 126 Mg ha−1. The BAE from miombo woodland within the vicinity of the study area underestimates the AGB for all sampled trees. Chave et al.’s pantropical equation of moist forest did not fit to the Moribane Forest Reserve, while Brown’s equation of moist forest had a good fit to the Moribane Forest Reserve, having generated 1.2% of bias, very close to that generated by the selected model of this study. BEF showed to be reliable when combined with stand mean volume from Marzoli’s National Forestry Inventory equation. The BAE and the BEF function developed in this study can be used to estimate the AGB of the mountain moist evergreen forests at Moribane Forest Reserve in Mozambique. However, the use of the biomass allometric model should be preferable when DBH information is available.

15 December 2015 in Forests
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Journal Article
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ASAlmeida Alberto Sitoe
Almeida Alberto Sitoe
BGBenard Guedes
Benard Guedes
Although communities have been living within forests and dependent on forest resources, in Mozambique, their role was not formally recognized until the late 1990s. The forest law of 1997 was the first to refer to communities as stakeholders in the forest sector, in line with the national Policy and Strategy for the Development of the Forestry and Wildlife Sector. As a new element, several pilot projects were established during the late 1990s and early 2000s to produce lessons that would inform policy and technical aspects. Community forestry received most of the attention until the first decade of this century, however, it seems that while communities have gained a role in the management of the forest sector, there are still challenges to fully implementing and securing community forestry initiatives. In this study, we document the advent and evolution of community forestry in Mozambique, discuss the conditions for success in community forestry, and discuss two cases of community forestry that have survived over beyond the end of external support. We conclude that devolution and training are the basic incentives, but additional incentives, including diversification of sources of revenue from non-destructive forestry activities, are required to maintain the stability of community forestry over time.

9 July 2018 in Global Ecology and Conservation
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Journal Article
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BGBenard Guedes
Benard Guedes
BOBengt A. Olsson
Bengt A. Olsson
ASAlmeida Alberto Sitoe
Almeida Alberto Sitoe
GEGustaf Egnell
Gustaf Egnell
Planting monocultures of fast-growing non-native (exotic) species is one way to slow or reverse deforestation and forest degradation in tropical zones. This study compared the effects on total net primary production (NPP) of first-rotation monoculture (34-year-old) plantations of Pinus taeda and Eucalyptus cloeziana and adjacent mountain miombo in Mozambique. Total NPP was defined as the sum of annual carbon (C) flux in total aboveground biomass, belowground coarse root biomass, fine roots (≤2 mm) and litterfall. Field measurements were conducted over one year in three 30 m × 30 m permanent sampling plots for each forest type and involved monitoring litterfall and fine root production using in-growth cores and stem diameter growth. Carbon increment in aboveground and belowground coarse root biomass was determined using allometric equations, for P. taeda, E. cloeziana, and root-to-shoot ratio, for miombo woodland. Major findings were that total NPP in P. taeda (14.1 Mg C ha−1 yr−1) and E. cloeziana (19.7 Mg C ha−1 yr−1) stands was significantly higher than in miombo woodland stands (5.98 Mg C ha−1 yr−1). These differences were largely attributable to lower basal area and presumably lower leaf biomass in miombo stands. There were several indications that the miombo stands studied had been degraded by selective cutting and other forms of use of forest resources. The difference in total NPP was also reflected in differences in patterns of C sequestration. Carbon in litterfall was the largest component of total NPP in miombo stands (41%), whereas C increment in aboveground biomass was the largest component of total NPP in plantation stands (44% in P. taeda and 51% in E. cloeziana). If the aim of forest management is to increase NPP and C sequestration in biomass of degraded miombo stands, our results indicate that replacement with plantations of P. taeda or E. cloeziana can be a useful management option, provided that the plantations are protected from anthropogenic disturbances, particularly fire. However, this aim needs to be balanced against other environmental aims and the socio-economic needs of local communities, since miombo woodland provides a wide range of unique economic, social and ecological benefits.