Forest dynamics and land-use transitions in the Brazilian Atlantic Forest: the case of sugarcane expansion

Ferreira, Matheus Pinheiro; Alves, Diógenes Salas; Shimabukuro, Yosio Edemir

doi:10.1007/s10113-014-0652-6

Cited by 40 publications

(34 citation statements)

References 56 publications

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“…In the absence of long-term planning and land use control, these changes led to the sprawl of rural housing land (Liu, Fang, & Li, 2014;Deng, Wang, Hong, & Qi, 2009;. The research of land use transitions has been a hot topic since the turn of the new millennium (Mather, 2004(Mather, , 2007Mather & Fairbairn, 2000;Turner, Lambin, & Reenberg, 2007;Carmona & Nahuelhual, 2012;Mizutani, 2012;Ferreira, Alves, & Shimabukuro, 2015;Romo-Leon, van Leeuwen, & Castellanos-Villegas, 2014;Long et al, 2007, Long, Liu, Hou, Li, & Li, 2014Lambin & Meyfroidt, 2010;Su, Jiang, Zhang, & Zhang, 2011, Su, Xiao, Jiang, & Zhang, 2012Li & Zhao, 2011;Long, 2014a). With the introduction of land use transitions to the academic circle of China (Long, 2003;Long & Li, 2002), related researches combining with the characteristics of China's socio-economic development have been carried out extensively (Gong, Chen, Liu, & Wang, 2014;Long et al, 2007Su, Wang, Luo, Mai, & Pu, 2014, Su, Yang, Hu, Luo, & Wang, 2014.…”

Section: Introductionmentioning

confidence: 99%

Multi-scale analysis of rural housing land transition under China's rapid urbanization: The case of Bohai Rim

Long

Liu

et al. 2015

Habitat International

104

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a b s t r a c tWith the rural-to-urban migration under China's rapid urbanization, the Bohai Rim of China experienced dramatic rural housing land transition (RHLT) in the last decade, especially in terms of per capita rural housing land (PRHL). The objectives of this study are to (i) analyze the spatio-temporal patterns of RHLT, and (ii) detect the underlying driving forces and mechanism of RHLT in Bohai Rim during 2000e2010. To achieve these goals, we collected and rasterized high resolution Landsat TM data, socio-economic and physical environmental data for the Bohai Rim. Spatial econometric regression models at both grid scale and county scale were developed to examine the driving forces of RHLT in Bohai Rim. The results indicated that the distribution of rural housing land was characterized by vertical zonality, i.e., the proportion of rural housing land decreased gradually with the increase of elevation, and was more sensitive to slope than to elevation. The results of hot spots analysis showed that the spatial mismatch of rural housing land change and rural population migration made the regional differences of RHLT more remarkable, based on which four rural housing land consolidation regional types were differentiated. The authors argue that towns are effective hubs for linking the urban system and rural system, and it is better to get the farmers to migrate to towns instead of big cities in the process of pushing forward China's newtype urbanization in the future. For this, it is necessary to further improve related system and institution. Only by this way can the relationship between out-migrated farmers and rural housing land be orderly and completely removed, so as to smoothly pushing forward rural housing land consolidation.

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Section: Introductionmentioning

confidence: 99%

Multi-scale analysis of rural housing land transition under China's rapid urbanization: The case of Bohai Rim

Long

Liu

et al. 2015

Habitat International

104

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“…Besides the uncertain consequences of conversion of pasture to sugarcane production on biodiversity within the same drainage basins, there is a growing concern about how this expansion can indirectly affect other regions and ecosystems in Brazil. For example, conversion of land previously used for food production (Ferreira, Alves, & Shimabukuro, ) could potentially increase deforestation in other Brazilian biomes, like the Amazon and Cerrado, as compensation for food production (Immerzeel et al., ; Lapola et al., ; Martinelli & Filoso, ; but see Verdade et al., ). Food security is one of the main claims of the agribusiness lobby to loosen environmental regulations such as the new Brazilian Forest Code (Código Florestal), thus the potential for biofuel production in environmental sustainability is complex (Tilman et al., ).…”

Section: Discussionmentioning

confidence: 99%

Effects of pasture conversion to sugarcane for biofuel production on stream fish assemblages in tropical agroecosystems

2017

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One of the main causes of biodiversity loss in aquatic ecosystems is instream habitat change associated with land‐use change in the drainage basin. Biofuel crop production is an increasingly important driver of land‐use change in existing agricultural drainage basins. Conceptually, biofuels such as sugarcane (Saccharum spp.: Poaceea) can provide a sustainable alternative to fossil fuels, but little is known about the consequences of biofuel crop production for biodiversity. Thus, our aim was to investigate if and how the degree of further environmental changes at regional and local scales can influence taxonomic and functional structure of fish assemblages in agroecosystem streams. We quantified drainage basin land use, instream and riparian habitat, and fish assemblages in 38 agroecosystem streams in Brazil with drainage basins experiencing rapid expansion of sugarcane production, and calculated degree of environmental change and corresponding response in taxonomic and functional structure of stream fish assemblages. Procrustes and redundancy analyses tested for correlation between land use and instream habitat and environmental factors correlated with fish assemblage structure, respectively. Previous studies demonstrated relationships between land‐use change, instream habitat change and taxonomic and functional structure of stream fish assemblages. Therefore, we used regression to test the hypothesis that degree of environmental change is positively correlated with magnitude of change in taxonomic and functional structure of fish assemblages. Primary gradients of environmental change included conversion of pasture to sugarcane and reduction of stream width, depth and volume. Although drainage basin and instream attributes were not correlated within a year, we detected a legacy effect of land use on instream habitat. The degree of environmental change was not significantly correlated with taxonomic or functional changes in stream fish assemblages in most cases. However, abundances of resistant taxa increased, whereas nektonic functional groups decreased, and the biological response also presented evidence of a legacy effect. Our findings demonstrate that instream habitat and aquatic biodiversity in streams with agricultural drainage basins undergoing rapid conversion to biofuel production likely will not experience the full magnitude of responses in the short term. Therefore, repeated sampling of sufficient duration to account for legacy effects or time lags is needed to test for effects of biofuel expansion on biodiversity, and similarly to assess whether management practices such as riparian zone preservation can benefit biodiversity in agroecosystems.

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“…Their findings revealed a competitive and inter-related set of LUCC processes, due to the landscape complexity. More recently, Ferreira et al (2015) investigated how forest cover and agricultural land use varied in an area of Atlantic Forest in São Paulo state, emphasizing sugarcane expansion. Besides, a general trend of decline followed by stabilization of forest remnants in this biome may be assumed due to different deforestation rates in the Brazilian states (SOS Mata Atlântica/INPE 2014).…”

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confidence: 99%

How well does random forest analysis model deforestation and forest fragmentation in the Brazilian Atlantic forest?

et al. 2017

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We assessed the value of applying random forest analysis (RF) to relating metrics of deforestation (DF) and forest fragmentation (FF) to socioeconomic (SE) and biogeophysical (BGP) factors, in the Brazilian Atlantic Forest of Minas Gerais, Brazil. A vegetation-monitoring project provided land cover maps, from which we derived DF and FF metrics. An ecologic-economical zoning project provided more than 300 SE and BGP factors. We used RF to identify relationships between these sets of variables and compared its performance in this task to that of a more traditional multiple linear regression approach. We found that RF modelled relatively-well variance in all metrics used (the rate of deforestation, the amount of forest and the density and isolation of forest patches), presenting a better performance when compared to the classical approach. RF also identified geographical location and topographic factors as being most closely associated with patterns of DF and FF metrics. Both analyses found factors associated with economic productivity, social institutions, accessibility and exploration to have little relationship with forest metrics. RF was better at explaining variations in rates of deforestation, remaining forest and patch patterns, than the multiple linear regression approach. We conclude that RF provides a promisHandling Editor: Pierre Dutilleul. Electronic supplementary materialThe online version of this article (https://doi.org/10.1007/s10651-017-0389-8) contains supplementary material, which is available to authorized users.

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Forest dynamics and land-use transitions in the Brazilian Atlantic Forest: the case of sugarcane expansion

Cited by 40 publications

References 56 publications

Multi-scale analysis of rural housing land transition under China's rapid urbanization: The case of Bohai Rim

Multi-scale analysis of rural housing land transition under China's rapid urbanization: The case of Bohai Rim

Effects of pasture conversion to sugarcane for biofuel production on stream fish assemblages in tropical agroecosystems

How well does random forest analysis model deforestation and forest fragmentation in the Brazilian Atlantic forest?

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