Scenarios for Just and Sustainable Futures in the Miombo Woodlands

Dziba, Luthando; Ramoelo, Abel; Ryan, Casey M.; Harrison, S. R.; Pritchard, Rose; Tripathi, Hemant G.; Sitas, Nadia; Selomane, Odirilwe; Engelbrecht, François; Pereira, Laura; Katerere, Yemi; Chirwa, Paxie W.; Ribeiro, Natasha; Grundy, Isla

doi:10.1007/978-3-030-50104-4_6

Cited by 10 publications

(5 citation statements)

References 64 publications

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“…The most relevant tropical ecosystems (i.e., Amazonia, Congo, New Guinea forests, and Miombo-Mopane woodlands) are ranked among the top High Biodiversity Wilderness Areas (HBWA) [ 11 , 12 ]. Miombo is the most important and widespread type of vegetation from southern Africa, covering approximately 2 million km 2 , i.e., 70% of the Sudan-Zambezian phytoregion [ 13 ]. Together with the Mopane eco-region (ca.…”

Section: Introductionmentioning

confidence: 99%

The Nexus between Fire and Soil Bacterial Diversity in the African Miombo Woodlands of Niassa Special Reserve, Mozambique

et al. 2021

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(1) Background: the Miombo woodlands comprise the most important vegetation from southern Africa and are dominated by tree legumes with an ecology highly driven by fires. Here, we report on the characterization of bacterial communities from the rhizosphere of Brachystegia boehmii in different soil types from areas subjected to different regimes. (2) Methods: bacterial communities were identified through Illumina MiSeq sequencing (16S rRNA). Vigna unguiculata was used as a trap to capture nitrogen-fixing bacteria and culture-dependent methods in selective media were used to isolate plant growth promoting bacteria (PGPB). PGP traits were analysed and molecular taxonomy of the purified isolates was performed. (3) Results: Bacterial communities in the Miombo rhizosphere are highly diverse and driven by soil type and fire regime. Independent of the soil or fire regime, the functional diversity was high, and the different consortia maintained the general functions. A diverse pool of diazotrophs was isolated, and included symbiotic (e.g., Mesorhizobium sp., Neorhizobium galegae, Rhizobium sp., and Ensifer adhaerens), and non-symbiotic (e.g., Agrobacterium sp., Burkholderia sp., Cohnella sp., Microvirga sp., Pseudomonas sp., and Stenotrophomonas sp.) bacteria. Several isolates presented cumulative PGP traits. (4) Conclusions: Although the dynamics of bacterial communities from the Miombo rhizosphere is driven by fire, the maintenance of high levels of diversity and functions remain unchanged, constituting a source of promising bacteria in terms of plant-beneficial activities such as mobilization and acquisition of nutrients, mitigation of abiotic stress, and modulation of plant hormone levels.

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Section: Introductionmentioning

confidence: 99%

The Nexus between Fire and Soil Bacterial Diversity in the African Miombo Woodlands of Niassa Special Reserve, Mozambique

et al. 2021

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“…Recent reappraisal of the distribution of miombo vegetation suggests the current extent of miombo woodland in the strictest sense is ~1.9 million km 2 (Fig. 1c; Dziba et al 2020). Fires recur frequently throughout the range of miombo ecoregion (Fig.…”

Section: Southern African Miombo Woodlandsmentioning

confidence: 99%

Framework for a savanna burning emissions abatement methodology applicable to fire-prone miombo woodlands in southern Africa

Russell-Smith,

Yates,

Vernooij

et al. 2024

Int. J. Wildland Fire

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Background and aims To assess development of a robust emissions accounting framework for expansive miombo woodland savannas covering ~2 million km2 of southern Africa that typically are burnt under relatively severe late dry season (LDS) conditions. Methods A detailed site-based study of fuel accumulation, combustion and greenhouse gas (GHG) emission factor parameters under early dry season (EDS) and LDS conditions along a central rainfall-productivity and associated miombo vegetation structural and floristics gradient, from lower rainfallsites in northern Botswana to higher rainfall sites in northern Zambia. Key results Assembled field data inform core components of the proposed emissions reduction framework: fuel and combustion conditions sampled across the vegetation/productivity gradient can be represented by three defined Vegetation Fuel Types (VFTs); fuel accumulation, combustion and emissions parameters are presented for these. Applying this framework for an illustrative case, GHG emissions (t CO2-e) from EDS fires were one-third to half those of LDS fires per unit area in eligible miombo VFTs. Conclusions Our accounting framework supports undertaking EDS fire management to significantly reduce emissions and, realistically, burnt extent at landscape scales. We consider application of presented data to development of formal emissions abatement accounting methods, linkages with potential complementary woody biomass and soil organic carbon sequestration approaches, and necessary caveats concerning implementation issues.

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“…The miombo woodlands are the largest dryland forest ecosystem in Sub-Saharan Africa, with an area that extends to approximately 1.9 million km 2 distributed across seven countries (Mozambique, Malawi, Tanzania, Zimbabwe, Zambia, Angola, and Democratic Republic of Congo [4,5]). These countries are among the poorest globally, and the high dependence of the human population on these woodlands imposes many challenges in conserving this important ecosystem [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Modelling Aboveground Biomass of Miombo Woodlands in Niassa Special Reserve, Northern Mozambique

Macave

Ribeiro

Ribeiro‐Barros

et al. 2022

Forests

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Aboveground biomass (AGB) estimation plays a crucial role in forest management and carbon emission reporting, especially for developing countries wishing to address REDD+ projects. Both passive and active remote-sensing technologies can provide spatially explicit information of AGB by using a limited number of field samples, thus reducing the substantial budgetary cost of field inventories. The aim of the current study was to estimate AGB in the Niassa Special Reserve (NSR) using fusion of optical (Landsat 8/OLI and Sentinel 2A/MSI) and radar (Sentinel 1B and ALOS/PALSAR-2) data. The performance of multiple linear regression models to relate ground biomass with different combinations of sensor data was assessed using root-mean-square error (RMSE), and the Akaike and Bayesian information criteria (AIC and BIC). The mean AGB and carbon stock (CS) estimated from field data were estimated at 56 Mg ha−1 (ranging from 11 to 95 Mg ha−1) and 28 MgC ha−1, respectively. The best model estimated AGB at 63 ± 20.3 Mg ha−1 for NSR, ranging from 0.6 to 200 Mg ha−1 (r2 = 87.5%, AIC = 123, and BIC = 51.93). We obtained an RMSE % of 20.46 of the mean field estimate of 56 Mg ha−1. The estimation of AGB in this study was within the range that was reported in the existing literature for the miombo woodlands. The fusion of vegetation indices derived from Landsat/OLI and Sentinel 2A/MSI, and backscatter from ALOS/PALSAR-2 is a good predictor of AGB.

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Scenarios for Just and Sustainable Futures in the Miombo Woodlands

Cited by 10 publications

References 64 publications

The Nexus between Fire and Soil Bacterial Diversity in the African Miombo Woodlands of Niassa Special Reserve, Mozambique

The Nexus between Fire and Soil Bacterial Diversity in the African Miombo Woodlands of Niassa Special Reserve, Mozambique

Framework for a savanna burning emissions abatement methodology applicable to fire-prone miombo woodlands in southern Africa

Modelling Aboveground Biomass of Miombo Woodlands in Niassa Special Reserve, Northern Mozambique

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