A distributional analysis of the socio-ecological and economic determinants of forest carbon stocks

J.R. Soto, F.J. Escobedo, D.C. Adams, G. Blanco

Resultado de la investigación: Contribución a una revistaArtículo

1 Cita (Scopus)

Resumen

Forest carbon (C) sequestration is being actively considered by several states as a way to cost-effectively
comply with the forthcoming United States (US) Environmental Protection Agency’s rule that will reduce
power plant C emissions by 32% of 2005 levels by 2030. However, little is known about the socioecological
and distributional effects of such a policy. Given that C is heterogeneous across the landscape,
understanding how social, economic, and ecological changes affect forest C stocks and sequestration is
key for developing forest management policies that offset C emissions. Using Florida US as a case study,
we use US National Forest Inventory Analysis and Census Bureau data in both linear regression and
quantile regression analyses to examine the socio-ecological and economic determinants of forest C
stocks and its relationship with differing communities. Quantile regression findings demonstrate
nonlinearity in the effects of key determinants, which highlight the limitations of regularly used meanbased
regression analyses. We also found that forest basal area, site quality, stand size, and stand age are
significant ecological predictors of carbon stocks, with a positive and increasing effect on upper quantiles
where C stocks are greater. The effect of education was generally positive and mostly significant at upper
quantiles, while the effects of income and locations with predominantly minority residents (as compared
to whites) were negative. Upper quantiles were also affected by population age. Our findings underscore
the importance of considering the broader socio-ecological and economic implications of compliance
strategies that target the management of forests for carbon sequestration and other ecosystem services
Idioma originalIndefinido/desconocido
Páginas (desde-hasta)28-37
Número de páginas10
PublicaciónEnvironmental Science and Policy
Volumen60
EstadoPublicada - 2016

Citar esto

@article{56743f40c8b14e9b8ea6555c271c8113,
title = "A distributional analysis of the socio-ecological and economic determinants of forest carbon stocks",
abstract = "Forest carbon (C) sequestration is being actively considered by several states as a way to cost-effectivelycomply with the forthcoming United States (US) Environmental Protection Agency’s rule that will reducepower plant C emissions by 32{\%} of 2005 levels by 2030. However, little is known about the socioecologicaland distributional effects of such a policy. Given that C is heterogeneous across the landscape,understanding how social, economic, and ecological changes affect forest C stocks and sequestration iskey for developing forest management policies that offset C emissions. Using Florida US as a case study,we use US National Forest Inventory Analysis and Census Bureau data in both linear regression andquantile regression analyses to examine the socio-ecological and economic determinants of forest Cstocks and its relationship with differing communities. Quantile regression findings demonstratenonlinearity in the effects of key determinants, which highlight the limitations of regularly used meanbasedregression analyses. We also found that forest basal area, site quality, stand size, and stand age aresignificant ecological predictors of carbon stocks, with a positive and increasing effect on upper quantileswhere C stocks are greater. The effect of education was generally positive and mostly significant at upperquantiles, while the effects of income and locations with predominantly minority residents (as comparedto whites) were negative. Upper quantiles were also affected by population age. Our findings underscorethe importance of considering the broader socio-ecological and economic implications of compliancestrategies that target the management of forests for carbon sequestration and other ecosystem services",
author = "J.R. Soto and F.J. Escobedo and D.C. Adams and G. Blanco",
year = "2016",
language = "Indefinido/desconocido",
volume = "60",
pages = "28--37",
journal = "Environmental Science and Policy",
issn = "1462-9011",
publisher = "Elsevier BV",

}

A distributional analysis of the socio-ecological and economic determinants of forest carbon stocks. / Soto, J.R.; Escobedo, F.J.; Adams, D.C.; Blanco, G.

En: Environmental Science and Policy, Vol. 60, 2016, p. 28-37.

Resultado de la investigación: Contribución a una revistaArtículo

TY - JOUR

T1 - A distributional analysis of the socio-ecological and economic determinants of forest carbon stocks

AU - Soto, J.R.

AU - Escobedo, F.J.

AU - Adams, D.C.

AU - Blanco, G.

PY - 2016

Y1 - 2016

N2 - Forest carbon (C) sequestration is being actively considered by several states as a way to cost-effectivelycomply with the forthcoming United States (US) Environmental Protection Agency’s rule that will reducepower plant C emissions by 32% of 2005 levels by 2030. However, little is known about the socioecologicaland distributional effects of such a policy. Given that C is heterogeneous across the landscape,understanding how social, economic, and ecological changes affect forest C stocks and sequestration iskey for developing forest management policies that offset C emissions. Using Florida US as a case study,we use US National Forest Inventory Analysis and Census Bureau data in both linear regression andquantile regression analyses to examine the socio-ecological and economic determinants of forest Cstocks and its relationship with differing communities. Quantile regression findings demonstratenonlinearity in the effects of key determinants, which highlight the limitations of regularly used meanbasedregression analyses. We also found that forest basal area, site quality, stand size, and stand age aresignificant ecological predictors of carbon stocks, with a positive and increasing effect on upper quantileswhere C stocks are greater. The effect of education was generally positive and mostly significant at upperquantiles, while the effects of income and locations with predominantly minority residents (as comparedto whites) were negative. Upper quantiles were also affected by population age. Our findings underscorethe importance of considering the broader socio-ecological and economic implications of compliancestrategies that target the management of forests for carbon sequestration and other ecosystem services

AB - Forest carbon (C) sequestration is being actively considered by several states as a way to cost-effectivelycomply with the forthcoming United States (US) Environmental Protection Agency’s rule that will reducepower plant C emissions by 32% of 2005 levels by 2030. However, little is known about the socioecologicaland distributional effects of such a policy. Given that C is heterogeneous across the landscape,understanding how social, economic, and ecological changes affect forest C stocks and sequestration iskey for developing forest management policies that offset C emissions. Using Florida US as a case study,we use US National Forest Inventory Analysis and Census Bureau data in both linear regression andquantile regression analyses to examine the socio-ecological and economic determinants of forest Cstocks and its relationship with differing communities. Quantile regression findings demonstratenonlinearity in the effects of key determinants, which highlight the limitations of regularly used meanbasedregression analyses. We also found that forest basal area, site quality, stand size, and stand age aresignificant ecological predictors of carbon stocks, with a positive and increasing effect on upper quantileswhere C stocks are greater. The effect of education was generally positive and mostly significant at upperquantiles, while the effects of income and locations with predominantly minority residents (as comparedto whites) were negative. Upper quantiles were also affected by population age. Our findings underscorethe importance of considering the broader socio-ecological and economic implications of compliancestrategies that target the management of forests for carbon sequestration and other ecosystem services

M3 - Artículo

VL - 60

SP - 28

EP - 37

JO - Environmental Science and Policy

JF - Environmental Science and Policy

SN - 1462-9011

ER -