Identifying Variables to Discriminate between Conserved and Degraded Forest and to Quantify the Differences in Biomass

Gao, Yan; Skutsch, Margaret; Rodríguez, Diana Laura Jiménez; Solórzano, Jonathan V.

doi:10.3390/f11091020

Cited by 6 publications

(5 citation statements)

References 53 publications

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“…Similarly, the interrelations between stand structure characteristics and precipitation were also observed in tropical seasonal forest. Nevertheless, the climate factors and BA did not jointly affect AGB in this biome, which has been revealed in other studies due to influences of the topography [104][105][106], soil properties, management protocols, and species diversity [107][108][109][110]. Additionally, we found that the contribution of climate and stand factors to AGB in tropical and temperate forests was greater than that in boreal forest, but the potential ecological reasons remained unclear on a large scale.…”

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

confidence: 66%

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: 66%

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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“…Irrational logging causes alteration in the vegetation structure, which has led to a greater increase and continuity of forest fuels, resulting in a greater possibility of res (Gao et al 2020). Fuel beds in highly disturbed sites have a higher ignition potential and C emissions through ne fuels (1 and 10 h) and litterfall, while the medium fuels (100 h) spread the re, coarse fuels (1000 h) are related to their intensity.…”

Section: Discussionmentioning

confidence: 99%

Fuel bed variation in coastal tropical freshwater forested wetlands in three disturbance regimes at La Encrucijada Biosphere Reserve, Mexico

Barrios-Calderón

Mata

Garnica

et al. 2022

Preprint

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Tropical freshwater forested in coastal regions are rapidly disappearing as a result of wildfires caused by high accumulations of forest fuels, which can vary in quantity and availability. Therefore, the objective of this study was to characterize fuel beds in tropical freshwater forested wetlands with three levels of disturbance at El Castaño, La Encrucijada Biosphere Reserve. Seventeen sampling units were used to describe the structure of the forest’s fuel beds (canopy, sub-canopy, understory). Fallen woody material, surface litter, and fermented litter were characterized using the planar intersection technique. Diversity was composed of eight species of trees, two shrubs, five lianas, and two herbaceous species. The vertical strata were dominated by trees between 2 to 22 m high. The horizontal structure had a higher percentage of trees with a diameter at breast height between 2.5 and 7.5 cm (61.4%) of the total. The non-disturbed sites presented the highest arboreal density (2686 ind. ha −1 ). The richness and diversity of species showed that the Fisher, Margalef, Shannon, and Simpson α indices were higher in the undisturbed sites. The Berger-Parker index exhibited greater dominance in the site’s with high disturbance. Pachira aquatica showed the highest importance value index and was the largest contributor to fuel beds. The sites with the greatest disturbance had a greater accumulation of dead fuel beds, with the greatest accumulations of woody fuels in classes 1, 10, and 1000 h (rotten). This study contributes to defining the areas prone to fire in these ecosystems and designing prevention strategies.

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“…A previous analysis using the same field survey data showed that only three forest structure attributes (canopy cover, canopy height, and AGB) were significantly different between degraded and conserved forest, by a Wilcoxon test (Table 1; Gao et al, 2020b). Thus, only the best models of these three attributes were used to construct the maps of degraded forest.…”

Section: Mapping Forest Degradationmentioning

confidence: 98%

“…Thus, only the best models of these three attributes were used to construct the maps of degraded forest. We classified TDF into degraded and conserved forest using thresholds of forest attributes defined by a logistic regression in the above-mentioned study, achieving an overall accuracy of 72.22%-80.56% (Gao et al, 2020b). For AGB, the threshold is 27.5 Mg/ha, for canopy cover it is 90.9% and for canopy height it is 5.3 m (Gao et al, 2020b).…”

Section: Mapping Forest Degradationmentioning

confidence: 99%

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Mapping Forest Degradation and Contributing Factors in a Tropical Dry Forest

Jiménez-Rodríguez

Gao

Solórzano

et al. 2022

Front. Environ. Sci.

Self Cite

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Forest degradation reduces biomass density, contributes to greenhouse gas emissions, and affects biodiversity and natural resources available for local communities. Previous studies have reported that gross emissions from forest degradation might be higher than from deforestation, due to the larger area affected by the first process. The quantification of forest degradation with remote sensing has large uncertainty, mainly because the subtle and gradual changes in forest are challenging to detect, and sometimes these changes happen below the canopy cover which the optical sensors cannot see. The objective of this work is to map the degraded forests and the most relevant biophysical and socio-economic factors contributing to such degradation in the dry tropics. We mapped the degraded forests by modeling forest biophysical parameters with multi-temporal optical data of Landsat-8 and Sentinel-2 and identified the most relevant biophysical and socio-economic factors that can be associated with forest degradation. We included three biophysical variables and 11 socio-economic variables including parceled land and land in ejido property and used multiple linear regression to relate those variables with identified degraded forests. We identified 62,878 ha of tropical dry forest in a degraded state, cover 49.91% of the forest area. The most relevant biophysical factor was distance to settlements and the most relevant socio-economic factor was percentage of parceled land property (private land). Both factors were negatively associated with the mapped degraded forests. Since parceled land and land in ejido property are strongly and positively correlated (Pearson’s r = 0.82, p < 0.001), it suggests that ejido property, as a form of land tenure, plays an important role in preventing forest degradation. This experiment presents a possible way to measure and understand degradation which may help finding solutions to slow down forest degradation and promote forest restoration.

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Identifying Variables to Discriminate between Conserved and Degraded Forest and to Quantify the Differences in Biomass

Cited by 6 publications

References 53 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

Fuel bed variation in coastal tropical freshwater forested wetlands in three disturbance regimes at La Encrucijada Biosphere Reserve, Mexico

Mapping Forest Degradation and Contributing Factors in a Tropical Dry Forest

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