2013
DOI: 10.1016/j.landusepol.2012.09.017
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Revisiting the forest transition theory with historical records and geospatial data: A case study from Mississippi (USA)

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Cited by 29 publications
(11 citation statements)
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“…Later, the use of remote-sensing data resulted in much more consistent estimations and allowed for a differentiation between forest types and biomes (Redo et al 2012). Still, authors stressed that using forest area alone had severe limitations in diagnosing meaningful changes in forest and territorial sustainability (Bae et al 2012, Yeo andHuang 2013). The issue at stake is not only whether forest area is recovering spontaneously or through tree plantation, nor the type and quality of the recovering forests.…”
Section: Discussionmentioning
confidence: 99%
“…Later, the use of remote-sensing data resulted in much more consistent estimations and allowed for a differentiation between forest types and biomes (Redo et al 2012). Still, authors stressed that using forest area alone had severe limitations in diagnosing meaningful changes in forest and territorial sustainability (Bae et al 2012, Yeo andHuang 2013). The issue at stake is not only whether forest area is recovering spontaneously or through tree plantation, nor the type and quality of the recovering forests.…”
Section: Discussionmentioning
confidence: 99%
“…Subsequently, due to the scarcity of timber products, these areas will be forced to invest in forestry. Therefore, land abandonment and investments in forestry products would result in forest transitions [23][24][25].…”
Section: Introductionmentioning
confidence: 99%
“…From the perspective of pattern analysis, forest transition (Bae et al, 2012;Grainger, 1995;Mather et al, 1999;Mather and Needle 1998;Meyfroidt and Lambin, 2009;Rudel et al, 2005;Yeo and Huang, 2013) and rural housing land transition (Long et al, 2007) have been discussed world widely. All of these studies confirmed that land use pattern transition could be regulated by land use policies, which are determined by perceptions of land function (Zube, 1987).…”
Section: Introductionmentioning
confidence: 99%