Evaluation of the Forest Structure, Diversity and Biomass Carbon Potential in the Southwest Region of Guangxi, China

Badshah, Malik; Ahmad, Adnan; Muneer, Muhammad Atif; Rehman, Ashfaq Ur; Wang, J.; Khan, M. A. Waheed; Muhammad, B.; Amir, Muhammad; Meng, Jingjing

doi:10.15666/aeer/1801_447467

Cited by 7 publications

(3 citation statements)

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“…Within each sampling plot, importance values of individual woody tree species were calculated using relative values of frequency, density and basal area [39]. This synthetic index is recommended by several workers [3,5,37], as it reflects the degree of dominance, abundance and help in the conservation and management of a species [17]. To empirically measure the biodiversity, Alpha diversity in different stands was estimated by species richness indices (Margalef's (DMg), Simpson's (SI), Shannon-Wiener (ShWI) and Menhinick) in order to obtained a comparative quantitative estimate for compositional variability among different stands [49].…”

Section: Diversity Indices and Importance Value Index (Ivi)mentioning

confidence: 99%

“…The terrestrial ecosystem is considered one of the best and most vital constituents for the storage of carbon [3]. In comparison with other ecosystems, forest ecosystems have the ability to store and sink a high amount of atmospheric carbon because of their longevity and woody nature [4], which makes them a useful and smart choice in the moderation of global climate alteration [5].…”

Section: Introductionmentioning

confidence: 99%

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Species Diversity, Growing Stock Variables and Carbon Mitigation Potential in the Phytocoenosis of Monotheca buxifolia Forests along Altitudinal Gradient across Pakistan

et al. 2022

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The sub-tropical broadleaved forests in Pakistan are the main constituents of the ecosystem services playing a vital role in the global carbon cycle. Monotheca buxifolia (Falc.) A. DC. is an important constituent of these forests, encompassing a variety of ecological and commercial uses. To our best knowledge, no quantitative studies have been conducted in these forests across the landscape to establish a baseline for future monitoring. We investigated the forest structural attributes, growing stock characteristics and total biomass carbon stock and established relationships among them in the phytocoenosis of Monotheca forests along an altitudinal gradient in Pakistan to expand an eco-systemic model for assessment of the originally-implemented conservation strategies. A floristic survey recorded 4986 individuals of 27 species in overstory and 59 species in the understory stratum. Species richness (ANOVA; F = 3.239; p = 0.045) and Simpson’s diversity (ANOVA; F = 2.802; p = 0.043) differed significantly in three altitudinal zones, with a maximum value for lower elevations, followed by middle and higher elevations. Based on the importance values, Acacia modesta and Olea ferruginea are strong companions of M. buxifolia at lower and higher altitudes, whereas forests at mid elevation represent pure crop of M. buxifolia (IVI = ≥85.85%). A similar pattern in stem density, volume and Basal area were also recorded. The carbon stock in trees stratum (51.81 T ha−1) and understory vegetation (0.148 T ha−1) contributes high values in the lower elevation forests. In contrast, soil carbon had maximum values at higher elevation (36.21 T ha−1) and minimum at lower elevation (16.69 T ha−1) zones. Aboveground biomass carbon stock (AGB BMC) of woody trees, understory vegetation and soil organic carbon (SOC) were estimated higher (77.72 T ha−1) at higher and lower (68.65 T ha−1) elevations. Likewise, the AGB BMC exhibited a significant (p < 0.05) negative correlation with elevation and positive correlation with soil carbon. We concluded that lower elevation forests are more diverse and floristically rich in comparison to higher altitudinal forests. Similarly, the biomass carbon of Monotheca forests were recorded maximum at low altitudes followed by high and middle ranges, respectively.

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Section: Diversity Indices and Importance Value Index (Ivi)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Species Diversity, Growing Stock Variables and Carbon Mitigation Potential in the Phytocoenosis of Monotheca buxifolia Forests along Altitudinal Gradient across Pakistan

et al. 2022

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“…The city is surrounded by Margalla hills rising over 685 meters at the western end and 1,604 meters on its east. The Margalla Hills National Park is an area of significant biological diversity (Badshah et al, 2020). Numerous wildlife species inhabit the surrounding forests (Mannan et al, 2019).…”

Section: Study Areamentioning

confidence: 99%

The role of random forest and Markov chain models in understanding metropolitan urban growth trajectory

Badshah,

Hussain,

Rehman

et al. 2024

Front. For. Glob. Change

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IntroductionThis study delves into the spatiotemporal dynamics of land use and land cover (LULC) in a Metropolitan area over three decades (1991–2021) and extends its scope to forecast future scenarios from 2031 to 2051. The intent is to aid sustainable land management and urban planning by enabling precise predictions of urban growth, leveraging the integration of remote sensing, GIS data, and observations from Landsat satellites 5, 7, and 8.MethodsThe research employed a machine learning-based approach, specifically utilizing the random forest (RF) algorithm, for LULC classification. Advanced modeling techniques, including CA–Markov chains and the Land Change Modeler (LCM), were harnessed to project future LULC alterations, which facilitated the development of transition probability matrices among different LULC classes.ResultsThe investigation uncovered significant shifts in LULC, influenced largely by socio-economic factors. Notably, vegetation cover decreased substantially from 49.21% to 25.81%, while forest cover saw an increase from 31.89% to 40.05%. Urban areas expanded significantly, from 7.55% to 25.59% of the total area, translating into an increase from 76.31 km2 in 1991 to 258.61 km2 in 2021. Forest area also expanded from 322.25 km2 to 409.21 km2. Projections indicate a further decline in vegetation cover and an increase in built-up areas to 371.44 km2 by 2051, with a decrease in forest cover compared to its 2021 levels. The predictive accuracy of the model was confirmed with an overall accuracy exceeding 90% and a kappa coefficient around 0.88.DiscussionThe findings underscore the model’s reliability and provide a significant theoretical framework that integrates socio-economic development with environmental conservation. The results emphasize the need for a balanced approach towards urban growth in the Islamabad metropolitan area, underlining the essential equilibrium between development and conservation for future urban planning and management. This study underscores the importance of using advanced predictive models in guiding sustainable urban development strategies.

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Tree diversity drives understory carbon storage rather than overstory carbon storage across forest types

Ullah,

Wu,

Shah

et al. 2024

J. For. Res.

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Although numerous studies have proposed explanations for the specific and relative effects of stand structure, plant diversity, and environmental conditions on carbon (C) storage in forest ecosystems, understanding how these factors collectively affect C storage in different community layers (trees, shrubs, and herbs) and forest types (mixed, broad-leaved (E), broad-leaved (M), and coniferous forest) continues to pose challenges. To address this, we used structural equation models to quantify the influence of biotic factors (mean DBH, mean height, maximum height, stem density, and basal area) and abiotic factors (elevation and canopy openness), as well as metrics of species diversity (Shannon–Wiener index, Simpson index, and Pielou’s evenness) in various forest types. Our analysis revealed the critical roles of forest types and elevation in explaining a substantial portion of variability in C storage in the overstory layer, with a moderate influence of stand factors (mean DBH and basal area) and a slightly negative impact of tree species diversity (Shannon–Wiener index). Notably, forest height emerged as the primary predictor of C storage in the herb layer. Regression relationships further highlighted the significant contribution of tree species diversity to mean height, understory C storage, and branch biomass within the forest ecosystem. Our insights into tree species diversity, derived from structural equation modeling of C storage in the overstory, suggest that the effects of tree species diversity may be influenced by stem biomass in statistical reasoning within temperate forests. Further research should also integrate tree species diversity with tree components biomass, forest mean height, understory C, and canopy openness to understand complex relationships and maintain healthy and sustainable ecosystems in the face of global climate challenges.

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Evaluation of the Forest Structure, Diversity and Biomass Carbon Potential in the Southwest Region of Guangxi, China

Cited by 7 publications

References 0 publications

Species Diversity, Growing Stock Variables and Carbon Mitigation Potential in the Phytocoenosis of Monotheca buxifolia Forests along Altitudinal Gradient across Pakistan

Species Diversity, Growing Stock Variables and Carbon Mitigation Potential in the Phytocoenosis of Monotheca buxifolia Forests along Altitudinal Gradient across Pakistan

The role of random forest and Markov chain models in understanding metropolitan urban growth trajectory

Tree diversity drives understory carbon storage rather than overstory carbon storage across forest types

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