2017
DOI: 10.1016/j.landusepol.2016.12.012
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Socio-environmental drivers of forest change in rural Uganda

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Cited by 24 publications
(14 citation statements)
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References 49 publications
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“…Access to land, not the cash income, defines households' interest to plant trees, which is in line with the findings of Kulindwa (2016). Land use pressure induced by population growth and escalated by the likely impacts of climate change (United Republic of Tanzania 2015) will remain high in Tanzania for years to come and increasing pressure for more agricultural land is likely to push tree growing into more remote areas and poorer sites, where expected returns on tree growing are smaller due to longer rotation ages and/or lower stocking rates that may need to be applied (Capitani et al 2016;Call et al 2017). Land holdings will fragment and shrink further due to the subdivision of land for descendants, leading to shortening rotations, especially on plantations established on agricultural land.…”
Section: Future Of Smallholder Tree Growing In Tanzaniasupporting
confidence: 81%
“…Access to land, not the cash income, defines households' interest to plant trees, which is in line with the findings of Kulindwa (2016). Land use pressure induced by population growth and escalated by the likely impacts of climate change (United Republic of Tanzania 2015) will remain high in Tanzania for years to come and increasing pressure for more agricultural land is likely to push tree growing into more remote areas and poorer sites, where expected returns on tree growing are smaller due to longer rotation ages and/or lower stocking rates that may need to be applied (Capitani et al 2016;Call et al 2017). Land holdings will fragment and shrink further due to the subdivision of land for descendants, leading to shortening rotations, especially on plantations established on agricultural land.…”
Section: Future Of Smallholder Tree Growing In Tanzaniasupporting
confidence: 81%
“…This approach is limited by attrition between survey rounds. At the same time, the rapid expansion of publicly-available microdata from censuses covering multiple decades (Thiede et al 2016) as well as from population surveillance sites with monthly time resolution (Call et al 2017) has already opened new avenues to address these issues. Existing, well-worn household surveys and country-to-country bilateral flow datasets have served migration-environment research well, but to provide a more comprehensive view of this process it is time the broaden the types of migration that we consider, as well as the nature of the data that we use.…”
Section: Discussionmentioning
confidence: 99%
“…Since the publication of Gray (2009), a large literature has developed that uses demographic and econometric methods to test for environmental influences on various types of migration (Borderon et al 2019;Cattaneo et al2019;Kaczan & Orgill-Meyer 2020). The majority of this literature has focused on the consequences of climate and natural disasters for long-distance and permanent migration, and it has largely supported the environmental risk hypothesis (H1) (Bohra-Mishra et al 2014;Mueller et al 2014;Jennings and Gray 2015;Mastrorillo et al 2016;Nawrotzki and DeWaard 2016;Bohra-Mishra et al 2017;Call et al 2017;Riosmena et al 2018). Nonetheless, a significant fraction of studies also document trapping processes that are consistent with the environmental capital hypothesis (H3) (Cattaneo and Peri 2016;Thiede and Gray 2017).…”
Section: Previous Researchmentioning
confidence: 99%
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“…Over the last 30 years, the number of studies focusing on the human-environment relationship has been increasing in order to determine the socio-demographic structure and the effect of the changes on forest assets (Call et al, 2017). In this context, the impact of the population on natural resources as the most important element of the sociodemographic structure is the main topic of the continuing work on the population-environment relationship (Tritsch & Le Tourneau, 2016).…”
Section: Introductionmentioning
confidence: 99%