Management implications of tree growth patterns in miombo woodlands of Zambia

Chidumayo, Emmanuel N.

doi:10.1016/j.foreco.2019.01.018

Cited by 33 publications

(23 citation statements)

References 33 publications

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“…It is important to mention that both B. madagascariensis and P. angolensis are species of the same forest formation and belong to the same family (Fabaceae) but to different ecological groups: the first is a late-climax secondary species whereas the latter is a pioneer species (GONÇALVES et al, 2017;CHITECULO;SUROVY 2018), in other words, ecological strategies are different to obtain better results for species growth and survival (WILLIAMS et al, 2008;CHIDUMAYO, 2013). Chidumayo (2019) report different strategies of trees in the Miombo canopy where he found that most pioneer species grow slower in the initial stages.…”

Section: Discussionmentioning

confidence: 99%

Crown Morphometry for Two Valuable Timber Species From Miombo Woodland in Mozambique

Hofiço

Costa

Finger

2021

NAT

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Pterocarpus angolensis DC and Bobgunnia madagascariensis (Desv.) J. H. Kirkbr. & Wiersema are two hardwood species found in Miombo woodland. Crown size, being closely related to the photosynthetic capacity of a tree, is an important parameter in studies of the growth of individual trees. In this sense, the present study aimed to study the morphometric relationships of P. angolensis and B. madagascariensis as a resource to describe the morphometric features of these species. Data were sampled in 60 rectangular plots of 20 x 50 m, systematically distributed within the forest. In each plot, the diameter at breast height (DBH), height (h), crown insertion point (cih) and four crown radii of all trees with DBH ≥ 10 cm were measured. Results indicated that crown diameter and crown length of P. angolensis grow as DBH and height increase, the larger the crown, the greater the trees dimensions; as for B. madagascariensis, crown features have shown low correlation when considering DBH. It was concluded that crown features influence on tree growth and are important measures of description and planning of silvicultural activities to be performed in natural forests. The results are of interest to forest managers since they make decisions about silvicultural operations. Keywords: crown dimensions; prediction models; umbila; pau-ferro; forest management.

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Section: Discussionmentioning

confidence: 99%

Crown Morphometry for Two Valuable Timber Species From Miombo Woodland in Mozambique

Hofiço

Costa

Finger

2021

NAT

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“…Thus, more efforts are needed to investigate the vegetation dynamics, anthropogenic and environmental drivers as well as the different conservation management strategies across Miombo and Mopane countries. Examples of such efforts include the recent work of, (i) Chiteculo and Surovy [46] and Chiteculo et al [47], that characterized the vegetation composition and structure and deforestation patterns of the Miombo woodlands in the Huambo province, Angola, respectively; (ii) Ribeiro et al [6] that conducted a 12-year analysis of the spatio-temporal patterns of fire to refine the fire management strategy in one of the most pristine areas of Miombo, the Niassa National Reserve, Mozambique; (iii) Mugasha et al [48] that provided a pioneer study on modeling tree growth in the Miombo woodlands from Tanzania based on long-term monitoring data; and (iii) Chidumayo [49] that performed a long-term study (1982–2018) across the Miombo woodlands in Zambia to investigate the woodland drivers and contribute to the design of management plans.…”

Section: Discussionmentioning

confidence: 99%

Diversification of African Tree Legumes in Miombo–Mopane Woodlands

Maquia

Catarino

Pena

et al. 2019

Plants

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The southern African Miombo and Mopane ecoregions constitute a unique repository of plant diversity whose diversification and evolutionary history is still understudied. In this work, we assessed the diversity, distribution, and conservation status of Miombo and Mopane tree legumes within the Zambezian phytoregion. Data were retrieved from several plant and gene databases and phylogenetic analyses were performed based on genetic barcodes. Seventy-eight species (74 from Miombo and 23 from Mopane, 19 common to both ecoregions) have been scored. Species diversity was high within both ecoregions, but information about the actual conservation status is scarce and available only for ca. 15% of the species. Results of phylogenetic analyses were consistent with current legume classification but did not allow us to draw any conclusion regarding the evolutionary history of Miombo and Mopane tree legumes. Future studies are proposed to dissect the diversity and structure of key species in order to consolidate the network of conservation areas.

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“…This review focuses on Southern Africa because there is a gap in knowledge on carbon storage, biomass, and the long-term trend of forest distribution and degradation in dryland forests. Much of the research on dryland forests in Southern African has concentrated on livelihoods, ecosystem services, energy supply and demand, food security, livelihoods and community forest management, and conservation/ development trade-offs (e.g., Chidumayo and Marunda 2010, Chidumayo and Gumbo 2010, Chidumayo 2019, Djoudi et al 2015, Dewees 1994, Du Preez 2014, Ryan et al 2016, leaving forests highly vulnerable to deforestation and degradation (Keenan 2015). The social and economic aspects are important given the large numbers of African people that rely on dry forests for their livelihoods and a range of goods and services.…”

Section: Review Focus Justificationmentioning

confidence: 99%

Remote sensing for monitoring tropical dryland forests: a review of current research, knowledge gaps and future directions for Southern Africa

David

Rosser

Donoghue

2022

Environ. Res. Commun.

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Climate change, manifest via rising temperatures, extreme drought, and associated anthropogenic activities, has a negative impact on the health and development of tropical dryland forests. Southern Africa encompasses significant areas of dryland forests that are important to local communities but are facing rapid deforestation and are highly vulnerable to biome degradation from land uses and extreme climate events. Appropriate integration of remote sensing technologies helps to assess and monitor forest ecosystems and provide spatially explicit, operational, and long-term data to assist the sustainable use of tropical environment landscapes. The period from 2010 onwards has seen the rapid development of remote sensing research on tropical forests, which has led to a significant increase in the number of scientific publications. This review aims to analyse and synthesise the evidence published in peer review studies with a focus on optical and radar remote sensing of dryland forests in Southern Africa from 1997-2020. For this study, 137 citation indexed research publications have been analysed with respect to publication timing, study location, spatial and temporal scale of applied remote sensing data, satellite sensors or platforms employed, research topics considered, and overall outcomes of the studies. This enabled us to provide a comprehensive overview of past achievements, current efforts, major research topics studies, EO product gaps/challenges, and to propose ways in which challenges may be overcome. It is hoped that this review will motivate discussion and encourage uptake of new remote sensing tools (e.g., Google Earth Engine (GEE)), data (e.g., the Sentinel satellites), improved vegetation parameters (e.g., red-edge related indices, vegetation optical depth (VOD)) and methodologies (e.g., data fusion or deep learning, etc.), where these have potential applications in monitoring dryland forests.

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Management implications of tree growth patterns in miombo woodlands of Zambia

Cited by 33 publications

References 33 publications

Crown Morphometry for Two Valuable Timber Species From Miombo Woodland in Mozambique

Crown Morphometry for Two Valuable Timber Species From Miombo Woodland in Mozambique

Diversification of African Tree Legumes in Miombo–Mopane Woodlands

Remote sensing for monitoring tropical dryland forests: a review of current research, knowledge gaps and future directions for Southern Africa

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