2016
DOI: 10.1098/rstb.2015.0435
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Understanding patterns of land-cover change in the Brazilian Cerrado from 2000 to 2015

Abstract: Clearing tropical vegetation impacts biodiversity, the provision of ecosystem services, and thus ultimately human welfare. We quantified changes in land cover from 2000 to 2015 across the Cerrado biome of northern Minas Gerais state, Brazil. We assessed the potential biophysical and socio-economic drivers of the loss of Cerrado, natural regeneration and net cover change at the municipality level. Further, we evaluated correlations between these land change variables and indicators of human welfare. We detected… Show more

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Cited by 50 publications
(36 citation statements)
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“…R. Soc. B 371: 20160329 Do Espírito Santo et al [10] document land abandonment and encroachment in secondary savannahs of the Brazilian cerrado [12], where this development policy has been to the detriment of the integrity of the system and where, globally, rates of encroachment are highest [4].…”
Section: Drivers Of Changementioning
confidence: 99%
See 2 more Smart Citations
“…R. Soc. B 371: 20160329 Do Espírito Santo et al [10] document land abandonment and encroachment in secondary savannahs of the Brazilian cerrado [12], where this development policy has been to the detriment of the integrity of the system and where, globally, rates of encroachment are highest [4].…”
Section: Drivers Of Changementioning
confidence: 99%
“…Across Africa, Asia and even South America, fuelwood harvesting is a significant activity [12,78]. Although the fuelwood crisis predicted in the 1970s has not materialized, projections surrounding levels of fuelwood sustainability are varied [77].…”
Section: Human Use and Valuementioning
confidence: 99%
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“…The method of classification adopted was the supervised algorithm with Decision Tree (Pal andMather 2003, Maeda et al 2011). A detailed description of the LUCC methods we used is available in Espírito-Santo et al (2016).…”
Section: Data Gathering and Analysesmentioning
confidence: 99%
“…Despite the critical role land cover analysis plays, many land cover change analyses ( [6], [13]- [18]) have focused on the identification of patterns of change and simple quantities of change, which often leads to a simplistic understanding of land cover dynamics [19], [20]. Such land cover change analyses normally fail to highlight temporal, intra and inter-land cover changes, which are relevant for policy makers as they indicate the nature and direction of the change among land cover types, and whether the land cover change is driven by a systematic or a random process [19]- [22], [21]. The direction of land cover change must be identified before any causal relationship can be postulated [23].…”
mentioning
confidence: 99%