Biomass in different types of land use in the Brazil’s ‘arc of deforestation’

Costa, Luiz Gonzaga Silva; Miranda, Izildinha Souza; Grimaldi, Michel; Silva, Mario Lopes; Mitja, Danielle; Lima, Tâmara Thaiz Santana

doi:10.1016/j.foreco.2012.04.007

Cited by 31 publications

(5 citation statements)

References 69 publications

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“…Other studies have shown that the characteristics of surrounding stream environments are important in determining the state of water quality and ecological conditions [7][8][9]. The landscape characteristics in riparian areas have significant impacts on the transport mechanisms of materials, sediments, nutrients, and pollutants loaded from the watersheds, and on the condition of stream environments [10][11][12][13]. Various types of riparian vegetation (e.g., riparian buffer, buffer strip, and vegetation strip) have been shown to have positive effects on both biological and nonbiological characteristics of streams, such as stabilizing stream banks [14][15][16], reducing nutrient and sediment loading from anthropogenic land uses from watersheds into streams [1,17,18], lowering stream water temperature by providing shade [19,20], providing habitats for aquatic and terrestrial organisms [21][22][23], enhancing ecological integrity and biodiversity [24,25], and mediating the negative impacts of land uses on streams in watersheds [10,26,27].…”

Section: Introductionmentioning

confidence: 99%

Relationships between Riparian Forest Fragmentation and Biological Indicators of Streams

et al. 2019

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Anthropogenic activities, such as land use and land cover modifications in riparian areas, can alter the degree of fragmentation of riparian vegetation, lead to the degradation of stream habitats, and affect biological communities in the streams. The characteristics of the riparian forests can modify the condition of stream environments and the transporting mechanisms of materials, sediments, nutrients, and pollutants loaded from the watersheds. This study aimed to examine the relationships between forest fragmentation and three biological indicators of trophic diatom, benthic macroinvertebrate, and the fish assessment in the Nakdong River, Korea. Eighty-nine biological assessment sampling sites in the National Aquatic Ecological Monitoring Program of South Korea were identified. For each sampling site, riparian forest data within a 500 m radius were extracted from national LULC using GIS to compute fragmentation metrics using FRAGSTATS software. Four fragmentation metrics—number of forest patches, percentage of riparian forest cover (PLAND), largest riparian forest patch index (LPI), and riparian forest division index (DIVISION)—were correlated with the biological indicators. Also, due to severe spatial autocorrelation among observations, the fragmentation metrics and stream environmental variables were regressed to biological indicators using regression tree analysis. Our results indicate that the biological indicators were significantly associated with most forest fragmentation metrics. We found positive correlations of PLAND and LPI with biological indicators, whereas DIVISION was negatively correlated with biological indicators. Both correlation and regression tree analyses revealed that the biological conditions of streams were likely to be better if riparian forests are less fragmented. Particularly, stronger relationships were revealed between macroinvertebrates and fish with the fragmentation metrics of riparian forests than with benthic diatoms. However, these relationships varied with elevation, stream size, and slope conditions. The results of this study reinforced the importance of including riparian forests in the planning, restoration, and management of stream environments. These results also suggested that planners and managers may need to consider different strategies for different stream environments and topographic characteristics in managing riparian forests.

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Section: Introductionmentioning

confidence: 99%

Relationships between Riparian Forest Fragmentation and Biological Indicators of Streams

et al. 2019

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“…The results found in this study become even more important considering that this region is in the Brazilian Amazon's arc of deforestation [62][63][64]. In this region, there is great demographic pressure and strong demand for land use in order to develop agricultural and livestock activities.…”

Section: Cost-benefit and Sensitivity Analysismentioning

confidence: 66%

Silvicultural Management System Applied to Logged Forests in the Brazilian Amazon: A Case Study of Adaptation of Techniques to Increase the Yield and Diversity of Species Forestry

Sales

Siviero²,

Vieira³

et al. 2021

Diversity

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The existence of degraded forests is common in the Eastern Amazon. The maintenance of these forests standing and the recovery of their productivity play an important role in the conservation of biodiversity, storage and carbon sequestration. However, the management techniques currently employed are designed for natural forests in the first harvest cycle or lightly explored and do not apply adequately to forests that have gone through several harvest cycles. Therefore, adaptations and the establishment of new management criteria that take into account other characteristics of these types of forests are necessary to ensure their sustainability. The objective of this study was to propose a silvicultural management system that has the potential to recover and perpetuate the productivity of an intensively logged tropical forest. A forest census was carried out on 535.6 ha for trees with dbh ≥ 25 cm. With these data, the following two treatments were designed: (1) criteria: the BDq method was applied from B = 9.8 m2 ha−1, D = 100 cm and q = 2. The criteria for standing wood commercialization were, in this order, first, Health; second, Tree Stem; third, Tree Density and fourth, dbh ≥ 105 cm. (2) Control: the planning was in accordance with Brazilian regulations. For the cost–benefit and sensitivity analysis, the Net Present Value (NPV) was used and a projection of ±20% was made in the commercial price of standing wood. In the criteria treatment, a higher number of trees and species destined for the commercialization of standing wood was verified in relation to the control treatment, showing a greater diversity of species. In the criteria treatment, NPV was positive and superior to the control treatment in all scenarios. The proposed silvicultural management system with an object of an explored and enriched forest, with criteria for harvesting trees with a minimum cut diameter of 25 cm, proved to be viable to generate economic returns and with conservationist potential for the continuous supply of forest products and maintaining biodiversity.

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“…Biomass plays a critical role in the ecosystem since it directly influences key ecological processes such as hydrology, erosion, nutrient cycling, carbon storage, and biological diversity (Houghton et al, 2001;Costa et al, 2012). Biomass allocation is therefore an important factor in the characterization of plant physiological ecology.…”

Section: Introductionmentioning

confidence: 99%

Effects of Heterogeneous Environment After Deforestation on Plant Phenotypic Plasticity of Three Shrubs Based on Leaf Traits and Biomass Allocation

Wang

Gao

et al. 2021

Front. Ecol. Evol.

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Phenotypic plasticity among natural plant populations is a species-specific ecological phenomenon of paramount importance that depends on their life forms, development stages, as well as environmental factors. While this phenomenon is broadly understood, it has hardly been observed in nature. This study aimed at understanding phenotypic plasticity and ecological adaptability in three shrubs (Salix etosia, Rubus setchuenensis, and Hydrangea aspera) affected by potential environmental variables after deforesting in sparse Larix spp. forest and tall shrub mixed secondary forests. Soil organic carbon content, total nitrogen content, and available nitrogen content were greater outside the forests, contrary to other measured factors whose availability was higher in the forest interiors. In case of leaf traits and stoichiometric indicators, there were significant interactions of leaf area (LA), leaf dry matter (DW), specific leaf area (SLA), and leaf phosphorus content (LPC) between shrub species and heterogeneous environments (P < 0.05) but not for leaf C/N, N/P, and C/P. Principal components analysis (PCA) indicated that soil temperature, pH value, soil carbon content, soil nitrogen content, and MBC and MBN mainly constituted the first component. Summarized results indicated that TB and leaf C/P of S. etosia were significantly correlated with three principal components, but only marginal significant correlations existed between R/S and relevant components. SLA and R/S of R. setchuenensis had marginal significant relationships with independent variables. Both SLA and TB of H. aspera were significantly correlated with three principal components. Based on the pooled values of leaf functional traits and leaf stoichiometric indicators, R. setchuenensis (vining type) had better leaf traits plasticity to adapt to a heterogeneous environment. In descending order, the ranks of biomass allocation plasticity index of three shrubs were H. aspera (bunch type), R. setchuenensis (vining type), and S. etosia (erect type). The highest integrated plasticity values of leaf traits and biomass allocation was observed in H. aspera (bunch type), followed by R. setchuenensis, and by S. etosia with less adaptive plasticity in heterogeneous environments.

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Biomass in different types of land use in the Brazil’s ‘arc of deforestation’

Cited by 31 publications

References 69 publications

Relationships between Riparian Forest Fragmentation and Biological Indicators of Streams

Relationships between Riparian Forest Fragmentation and Biological Indicators of Streams

Silvicultural Management System Applied to Logged Forests in the Brazilian Amazon: A Case Study of Adaptation of Techniques to Increase the Yield and Diversity of Species Forestry

Effects of Heterogeneous Environment After Deforestation on Plant Phenotypic Plasticity of Three Shrubs Based on Leaf Traits and Biomass Allocation

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