Socioeconomic development versus deforestation: considerations on the sustainability of economic and social growth in most Brazilian municipalities

Santiago, Anderson Ribeiro; Couto, Hilton Thadeu Zarate do

doi:10.1016/j.envdev.2020.100520

Cited by 16 publications

(9 citation statements)

References 38 publications

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“…However, the effectiveness of natural regeneration can be hindered in isolated, dry and/or highly degraded regions, where active restoration is considered more adequate (Holl and Aide, 2011;Crouzeilles et al, 2017) In order to develop policies to stimulate large-scale restoration initiatives, it is necessary to determine the spatial occurrence of both deforestation and forest recovery, as well as their association to biophysical and socioeconomic factors. It is also important to assess the effects of LCC on human welfare, because agricultural sectors in tropical countries claim that deforestation is necessary for increasing employment and income (frequently based on Kuznets environmental curves) (Bhattarai and Hammig, 2004;Espírito-Santo et al, 2016;Santiago and Couto, 2020). On the other hand, environmental agencies and researchers indicate that decreasing natural vegetation cover inevitably erode ecosystems services that support human well-being (IPBES, 2019).…”

Section: Introductionmentioning

confidence: 99%

Biophysical and Socioeconomic Factors Associated to Deforestation and Forest Recovery in Brazilian Tropical Dry Forests

Espírito-Santo

Rocha

Leite

et al. 2020

Front. For. Glob. Change

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The determination of land cover changes (LCCs) and their association to biophysical and socioeconomic factors is vital to support government policies toward the sustainable use of natural resources. The present study aimed to quantify deforestation, forest recovery and net cover change in tropical dry forests (TDFs) in Brazil from 2007 to 2016, and investigate how they are associated to biophysical and socioeconomic factors. We also assessed the effects of LCC variables in human welfare indicators. For this purpose, we used MODIS imagery to calculate TDF gross loss (deforestation), gross gain (forest recovery) and net cover change (the balance between deforestation and forest recovery) for 294 counties in three Brazilian states (Minas Gerais, Bahia, and Piauí). We obtained seven factors potentially associated to LCC at the county level: total county area, road density, humidity index, slope, elevation, and % change in human population and in cattle density. From 2007 to 2016, TDF cover increased from 76,693 to 80,964 km2 (+5.6%). This positive net change resulted from a remarkable forest recovery of 19,018 km2 (24.8%), offsetting a large deforested area (14,748 km2; 19.2%). Practically all these cover changes were a consequence of transitions from TDF to pastures and vice-versa, highlighting the importance of developing sustainable policies for cattle raising in TDF regions. Each LCC variable was associated to different set of factors, but two biophysical variables were significantly associated both to TDF area gained and lost per county: county area (positively) and slope (negatively), indicating that large and flat counties have very dynamic LCCs. The TDF net area change was only associated (negatively) to the humidity index, reflecting an increase in TDF cover in more arid counties. The net increase in Brazilian TDF area is likely a result from an interplay of biophysical and socioeconomic factors that reduced deforestation and caused pasture abandonment. Although the ecological integrity and permanence of secondary TDFs need further investigation, the recovery of this semi-arid ecosystem must be valued and accounted for in the national forest restoration programs, as it would significantly help achieving the goals established in the Bonn agreement and the Atlantic Rain Forest pact.

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Section: Introductionmentioning

confidence: 99%

Biophysical and Socioeconomic Factors Associated to Deforestation and Forest Recovery in Brazilian Tropical Dry Forests

Espírito-Santo

Rocha

Leite

et al. 2020

Front. For. Glob. Change

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“…The first studies on the empirical verification of the EKC are those of Grossman and Krueger (1991) on Environmental impacts of North American Free Trade Agreement, Shafik and Bandyopadhyay (1992) in the World Bank Development report, and Panayotou (1993) for the International Labor Organization. Akpan and Chuku (2011) undertake study in Nigeria on the relationship between the CO2 emissions, economic growth and electricity consumption over the period 1960-2008. Using in non-cubic model, they get an inverted-N Curve adjusting the emissions of CO2 and GDP per capita relationship.…”

Section: Empirical Literaturementioning

confidence: 99%

Economic growth and environmental Kuznets curve for CEMAC zone countries: does deforestation matters?

Meli¹,

Gamo²,

Nkengfack³

et al. 2020

IJRP

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The aim of this paper is to analyze the relationship between economic growth and the rate of deforestation in the CEMAC zone countries, through an audit of the environmental Kuznets curve (EKC). We assess the contribution of the degree of trade openness in explaining Deforestation. Using the Generalized Least Squares method, on a panel of six ( 06) countries over the period 1996 -2011, our study reveals that there is an EKC between the rate of deforestation and GDP per capita at a turning point of $ 7.9631. Also, the results disclose that the degree of trade openness significantly increases the rate of deforestation by 0.5%. Improving population standards of living will therefore reduce deforestation in CEMAC area.

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“…Historicamente, o progresso das atividades antrópicas está diretamente associado com a substituição da cobertura vegetal por outros usos e ocupações, com a justificativa de que tal ação garante o desenvolvimento econômico [17]. Contudo, essa garantia é ilusória, pois o desmatamento pode resultar em uma melhora econômica momentânea, passando pela concentração de renda, acirramento das desigualdades socioeconômicas e quedas nos índices de desenvolvimento humano [17].…”

Section: Introductionunclassified

“…Portanto, o desmatamento precisa ser visto como um processo dinâmico, exigindo uma compreensão da dinâmica socioeconômica nas escalas regional e local [20]. Em países em desenvolvimento, por exemplo, a correlação entre os fatores socioeconômicos e sua cobertura florestal, sugere uma questão ambiental relevante a ser entendida para a proposta de adequações de modelos de desenvolvimento vigentes [21]. Rodrigues et al (2009) [22] procuraram correlacionar os índices de desmatamento na Amazônia brasileira com o Índice de Desenvolvimento Humano (IDH) da região, por entender que o desenvolvimento econômico é frequentemente buscado por meio da conversão da floresta em atividades agropecuárias, mediada pela exploração madeireira, dessa forma, os autores apuraram um padrão de expansão e queda nos níveis de IDH ao longo da fronteira de desmatamento, apontando uma correlação entre o desmatamento, a pobreza e a desigualdade social.…”

Section: Introductionunclassified

“…Rodrigues et al (2009) [22] procuraram correlacionar os índices de desmatamento na Amazônia brasileira com o Índice de Desenvolvimento Humano (IDH) da região, por entender que o desenvolvimento econômico é frequentemente buscado por meio da conversão da floresta em atividades agropecuárias, mediada pela exploração madeireira, dessa forma, os autores apuraram um padrão de expansão e queda nos níveis de IDH ao longo da fronteira de desmatamento, apontando uma correlação entre o desmatamento, a pobreza e a desigualdade social. Santiago e Couto (2020) [21], sugerem que o desenvolvimento socioeconômico brasileiro é intrínseco ao uso dos recursos florestais, gerando problemas como a melhora passageira do desenvolvimento humano e o favorecimento da concentração de renda, aumentando as desigualdades sociais.…”

Section: Introductionunclassified

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Relação entre a integridade da mata ciliar e a distribuição de renda na Bacia Hidrográfica do Rio Una

Sales

Silva²,

Simonetti³

et al. 2021

Sci. Plena

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Matas ciliares exercem funções ambientais fundamentais para o equilíbrio ecossistêmico, contudo, essas áreas são frequentemente submetidas à intensas perturbações em virtude de atividades antropogênicas. Dessa forma, o presente estudo avaliou a relação da integridade da mata ciliar da Bacia Hidrográfica do Rio Una em função da distribuição de renda da região, utilizando dados do Índice de Desenvolvimento Humano e o mapeamento da cobertura e uso da terra. Os resultados demonstraram que 23,3% da área total das áreas de preservação permanente mapeadas é composta por atividades referentes à agropecuária. Também foi verificado que as áreas com os menores valores de integridade de mata ciliar ocorrem em áreas com renda baixa e média. O estudo traz à luz a necessidade de formulação de políticas públicas que auxiliem na tomada de decisão e que sejam capazes de reverter a desigualdade de renda na região, permitindo um maior desenvolvimento econômico que não esteja vinculado à degradação do meio ambiente.

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Socioeconomic development versus deforestation: considerations on the sustainability of economic and social growth in most Brazilian municipalities

Cited by 16 publications

References 38 publications

Biophysical and Socioeconomic Factors Associated to Deforestation and Forest Recovery in Brazilian Tropical Dry Forests

Biophysical and Socioeconomic Factors Associated to Deforestation and Forest Recovery in Brazilian Tropical Dry Forests

Economic growth and environmental Kuznets curve for CEMAC zone countries: does deforestation matters?

Relação entre a integridade da mata ciliar e a distribuição de renda na Bacia Hidrográfica do Rio Una

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