Patterns of above-ground biomass and its environmental drivers: an analysis based on plot-based surveys in the dry tropical forests and woodlands of southern Africa

Sichone, Priscilla; Cauwer, Vera De; Chisingui, António Valter; Gonçalves, Francisco M. P.; Finckh, Manfred; Revermann, Rasmus

doi:10.7809/b-e.00338

Cited by 6 publications

(4 citation statements)

References 13 publications

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“…This indicated that the effect of biome on the relationship between stand structure and AGB should be considered regardless of scales. Previous findings revealed that climate factors alone cannot explain the patterns of AGB on the regional scale [116], showing the interaction between temperature and precipitation in the influence on AGB, which was further confirmed in our findings. Moreover, we found that temperature and precipitation together had a direct effect on stand structural characteristics, especially on DBH and, thus, AGB; however, climate factors alone significantly and directly affected TD and BA and, hence, AGB, which means there were no fixed patterns in the effects of climate variables on the relationship between stand structure and AGB.…”

Section: Determinants Of Co-driving Agb Among Climate Stand Structura...supporting

confidence: 91%

Precipitation and Temperature Influence the Relationship between Stand Structural Characteristics and Aboveground Biomass of Forests—A Meta-Analysis

Eziz

Halik

et al. 2023

Forests

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Forest aboveground biomass (AGB) is not simply affected by a single factor or a few factors, but also by the interaction between them in complex ways across multiple spatial scales. Understanding the joint effect of stand structural characteristics and climate factors on AGB on large scales is critical for accurate forest carbon storage prediction and sustainable management. Despite numerous attempts to clarify the relationships between stand structural characteristics (tree density/TD, diameter at breast height/DBH, basal area/BA), climate factors (mean annual temperature/MAT, mean annual precipitation/MAP), and AGB, they remain contentious on a large scale. Therefore, we explored the relationships between stand structural characteristics, climate factors, and AGB at a biome level by meta-analyzing datasets contained in 40 articles from 25 countries, and then answered the questions of how stand structural characteristics influence AGB at the biome level and whether the relationships are regulated by climate on a large scale. Through using regression analysis and the establishment of a structural equation model, the results showed that the influence of basal area on AGB at the biome level was more substantial than that of tree density and DBH, and the significant relationship between basal area and AGB was relatively stable regardless of biome variation, but the effects of tree density and DBH was non-negligible within the biome. Climatic factors (e.g., temperature and precipitation), should be considered. Our meta-analysis illustrated the complicated interactions between climate factors, stand structural characteristics, and the AGB of forests, highlighting the importance of climate effects on regulating stand structural characteristics and AGB relationships. We suggest that basal area be preferred and considered in forest sustainable management practice to optimize stand structure for increasing carbon storage potential, with close attention to local climate conditions. Overall, our meta-analysis will crucially aid forest management and conservation in the context of global environmental changes, and provide novel insights and a scientific reference to lead to future carbon storage research on large scales.

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Section: Determinants Of Co-driving Agb Among Climate Stand Structura...supporting

confidence: 91%

Precipitation and Temperature Influence the Relationship between Stand Structural Characteristics and Aboveground Biomass of Forests—A Meta-Analysis

Eziz

Halik

et al. 2023

Forests

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“…Using a minimum height threshold for woody individuals to be recorded, as is often done in other ecosystems [12 , 19] , was found to be impossible in our study, as with gullivers the height alone is an insufficient proxy for an individual's age due to severe and chronic disturbances in the ecosystem [14] . Using a minimum stem circumference for woody individuals to be recorded, as is often done in other ecosystems [19 , 20] , was not possible in our study region as that would have excluded the extensive contribution of shrubs to overall AGB [1] , [21] .…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Dataset on woody aboveground biomass, disturbance losses, and wood density from an African savanna ecosystem

et al. 2022

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“…Unexpectedly, anthropogenic variables (particularly fire) were not retained during the variable selection process. Fire is well-known for its negative impact on the AGB of dry forests (Sichone et al, 2018) and wet forests (Van Der Laan et al, 2014;Dago et al, 2023;Elogne et al, 2023), given that fire is used for various purposes by humans, including land preparation in shifting agriculture schemes (Sichone et al, 2018;Zhao et al, 2021). In our study area, fires are concentrated in the Northern and Central parts (Kouassi et al, 2022(Kouassi et al, , 2018, which are loosely covered by highly fragmented forest patches.…”

Section: Unexpected Absence Of Topographic and Human Impactmentioning

confidence: 95%

Fragmentation is the Main Driver of Residual Forest Aboveground Biomass in West African Low Forest-High Deforestation Landscapes

Traoré,

Zo-Bi,

Piponiot

et al. 2023

Preprint

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Patterns of above-ground biomass and its environmental drivers: an analysis based on plot-based surveys in the dry tropical forests and woodlands of southern Africa

Cited by 6 publications

References 13 publications

Precipitation and Temperature Influence the Relationship between Stand Structural Characteristics and Aboveground Biomass of Forests—A Meta-Analysis

Precipitation and Temperature Influence the Relationship between Stand Structural Characteristics and Aboveground Biomass of Forests—A Meta-Analysis

Dataset on woody aboveground biomass, disturbance losses, and wood density from an African savanna ecosystem

Fragmentation is the Main Driver of Residual Forest Aboveground Biomass in West African Low Forest-High Deforestation Landscapes

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