Linking Bacterial Rhizosphere Communities of Two Pioneer Species, Brachystegia boehmii and B. spiciformis, to the Ecological Processes of Miombo Woodlands

António, Camilo B. S.; Obieze, Chinedu Christopher; Jacinto, João; Maquia, Ivete; Massad, Tara Joy; Ramalho, José C.; Ribeiro, Natasha; Máguas, Cristina; Marques, Isabel; Ribeiro‐Barros, Ana I.

doi:10.3390/f13111840

Cited by 2 publications

(1 citation statement)

References 80 publications

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“…The AFS are priority semi-natural ecosystems in fragile ecological zones. The proper structure has a crucial role in vegetation restoration, water conservation, soil conservation, increasing biodiversity, maintaining the system's stability, and improving the environment [16,17]. Agroforestry systems structure can be understood as an ecosystem attribute based on the composition of species and their quantitative relationships in the species structure, stratification in the vertical form, and mosaicism in the horizontal structure [18,19].…”

Section: Introductionmentioning

confidence: 99%

Agroforestry Ecosystem Structure and the Stability Improvement Strategy in Control of Karst Desertification

Jiang

Xiong

Xiao

et al. 2023

Forests

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Agroforestry systems (AFS) are priority semi-natural ecosystems in fragile ecological zones. The complexity and diversity of their species structure play a crucial role in maintaining AFS stability. To explore the optimization of improvement strategies in AFS’ structure and stability for control of karst desertification (KD), in this study, we chose typical desertification control areas in the southern China karst region. The study included homegarden (HG), agrisilviculture (ASV), and multipurpose woodlots (MWLs) as three AFS. We quantified the AFS’ structural characteristics using descriptive statistics and spatial structure parameters. We used the fuzzy integrated evaluation method with structural and functional indicators as guidelines, and stand structure, plant species diversity, soil fertility, and environmental factors as first-level evaluation indicators. The entropy weight method calculates the weights of indicators at all levels. The fuzzy comprehensive evaluation method establishes an evaluation index system to evaluate the grading of AFS’ stability. The results showed that: (i) The species composition of the AFS in the KD control areas had a simple structure, the overall diversity level was low, and the diversity level of herbaceous plants was better than that of woody plants. (ii) The overall distribution curves of diameter at breast height (DBH), tree height (TH), and crown width (CW) of woody plants in the AFS in the KD control areas were slight to the left, with a single-peaked pattern, mostly randomly and unevenly distributed in space, with a low degree of tree species isolation and relatively weak stand stability. (iii) There was variability in the stability classes of different types of AFS, overall reflecting the ranking HG > ASV > MWLs. (iv) When structural optimization was applied, corresponding measures can be taken according to farmers’ wishes for different types of AFS and their primary business purposes. The improvement of stability depends mainly on the utility of the structural optimization applied coupled with positive human interference (for example, pruning, dwarfing, and dense planting). This study provides a scientific reference for maintaining the stability of AFS and promoting service provision.

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Section: Introductionmentioning

confidence: 99%

Agroforestry Ecosystem Structure and the Stability Improvement Strategy in Control of Karst Desertification

Jiang

Xiong

Xiao

et al. 2023

Forests

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Rhizosphere microbial community structure in the water-level-fluctuation zone under distinct waterlogging stresses

Zhou,

Wu,

et al. 2024

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Rhizosphere microbial communities are believed to be vital in the adaption of dominant plants to strong waterlogging stress in the water-level-fluctuation zone (WLFZ). However, limited knowledge is available on their patterns in the WLFZ under distinct waterlogging stresses. Here, rhizosphere and non-rhizosphere bacterial and fungal communities derived from two typical dominant plants (Rumex acetosa L. and Oxybasis glauca) in the WLFZ of Three Gorges Reservoir, China were analysed through high-throughput sequencing. A total of 63 phyla, 173 classes, 259 orders, 287 families and 518 genera of bacteria, as well as 15 phyla, 50 classes, 124 orders, 265 families and 652 genera of fungi were detected in soils with different waterlogging stress intensities. The most dominant bacterial and fungal phyla in each sample are Proteobacteria and Ascomycota, respectively. Bacteria and fungi in soil may increase their microbial ɑ diversity under the intensity of waterlogging stress to cope with this stress. LEfSe analysis showed that the impact of waterlogging stress on fungal community structure in soil is more prominent than that on bacteria. Key fungal biomarkers can be found in each soil sample, but in many samples, key bacterial biomarkers cannot be found. The metabolic pathways related to aerobic respiration type I and de novo biosynthesis of adenosine ribonucleotides dominate in the microbial community. Redundancy analysis revealed that the structure of rhizosphere microbial communities in different plants is significantly influenced by environmental factors. This study provides a theoretical basis for understanding the relationship between plants and their second genome (rhizosphere microorganisms) in extreme habitats, such as the WLFZ of large reservoirs.

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Linking Bacterial Rhizosphere Communities of Two Pioneer Species, Brachystegia boehmii and B. spiciformis, to the Ecological Processes of Miombo Woodlands

Cited by 2 publications

References 80 publications

Agroforestry Ecosystem Structure and the Stability Improvement Strategy in Control of Karst Desertification

Agroforestry Ecosystem Structure and the Stability Improvement Strategy in Control of Karst Desertification

Rhizosphere microbial community structure in the water-level-fluctuation zone under distinct waterlogging stresses

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