Assessing implications of land-use and land-cover change dynamics for conservation of a highly diverse tropical rain forest

Flamenco-Sandoval, Alejandro; Martı́nez-Ramos, Miguel; Masera, Omar

doi:10.1016/j.biocon.2007.04.022

Cited by 93 publications

(69 citation statements)

References 48 publications

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“…Selection of socioeconomic, biophysical and climate explanatory variables was based on other deforestation and LUCC studies undertaken at different temporal and spatial scales (Geoghegan et al 2001;Roy-Chowdhury 2006;Flamenco-Sandoval et al 2007;Wyman et al 2008;Currit and Easterling 2009;Ellis et al 2010;Sahagún-Sánchez et al 2011;Pérez-Vega et al 2012) (Table S1). All spatial variables were harmonized under the same projected coordinate system with a Datum WGS 84 and grid cells (1 km 9 1 km).…”

Section: Classes Of Land Uses and Covers And Explanatory Variablesmentioning

confidence: 99%

Identifying hotspots of land use cover change under socioeconomic and climate change scenarios in Mexico

Mendoza‐Ponce

Corona-Núñez²,

Galicia

et al. 2018

Ambio

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This study identifies the hotspots of land use cover change (LUCC) under two socioeconomic and climate change scenarios [business as usual (BAU) and a pessimistic scenario] at the national level for Mexico for three-time periods. Modelling suggests that by 2050 grassland and tropical evergreen forest will be the most endangered ecosystems, having lost 20-33% (BAU) or 43-46% (pessimistic scenario) of their extent in comparison to 1993. Agricultural expansion would be the major driver of LUCC, increasing from 24.4% of the country in 1993 to 30% (BAU) or 34% (pessimistic) in 2050. The most influential variables were distance from roads and human settlements, slope, aridity, and evapotranspiration. The hotspots of LUCC were influenced by environmental constraints and socioeconomic activities more than by climate change. These findings could be used to build proposals to reduce deforestation, including multiple feedbacks among urbanization, industrialization and food consumption.

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Section: Classes Of Land Uses and Covers And Explanatory Variablesmentioning

confidence: 99%

Identifying hotspots of land use cover change under socioeconomic and climate change scenarios in Mexico

Mendoza‐Ponce

Corona-Núñez²,

Galicia

et al. 2018

Ambio

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“…For example, deforestation is more likely to be located in lower and less steep terrain, where transport and mechanical agriculture are easier (Apan and Peterson 1998). They are more likely to have occurred in sites more suitable for agriculture (Flamenco-Sandoval et al 2007;Killeen et al 2007;Fearnside 2008) in terms of soil fertility and hydrological conditions. This finding has important implications for management policies aimed at conserving the Atlantic forest and possibly other biomes that are fragmenting under anthropogenic pressures, although it requires further evidence to be confirmed.…”

Section: Random Forest Analysismentioning

confidence: 99%

How well does random forest analysis model deforestation and forest fragmentation in the Brazilian Atlantic forest?

et al. 2017

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We assessed the value of applying random forest analysis (RF) to relating metrics of deforestation (DF) and forest fragmentation (FF) to socioeconomic (SE) and biogeophysical (BGP) factors, in the Brazilian Atlantic Forest of Minas Gerais, Brazil. A vegetation-monitoring project provided land cover maps, from which we derived DF and FF metrics. An ecologic-economical zoning project provided more than 300 SE and BGP factors. We used RF to identify relationships between these sets of variables and compared its performance in this task to that of a more traditional multiple linear regression approach. We found that RF modelled relatively-well variance in all metrics used (the rate of deforestation, the amount of forest and the density and isolation of forest patches), presenting a better performance when compared to the classical approach. RF also identified geographical location and topographic factors as being most closely associated with patterns of DF and FF metrics. Both analyses found factors associated with economic productivity, social institutions, accessibility and exploration to have little relationship with forest metrics. RF was better at explaining variations in rates of deforestation, remaining forest and patch patterns, than the multiple linear regression approach. We conclude that RF provides a promisHandling Editor: Pierre Dutilleul. Electronic supplementary materialThe online version of this article (https://doi.org/10.1007/s10651-017-0389-8) contains supplementary material, which is available to authorized users.

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“…Existen estudios en la región central de Chihuahua (Alatorre et al, 2015), en el estado de Hidalgo (Sierra-Soler et al, 2015), Jalisco (Morales-Barquero et al, 2015), Michoacán (Ordóñez et al, 2008;Mas y González, 2015), Yucatán (Colditz et al, 2015), el Revista Mexicana de Ciencias Forestales Vol. 9 (46) 31 Estado de México (Galicia y García-Romero, 2007;Zepeda et al, 2012), Morelos (Trejo y Hernández, 1996;Vega et al, 2008), Chiapas (Flamenco-Sandoval et al, 2007) y el estado de Tabasco (Guerra y Ochoa, 2006), entre otros.…”

Section: Introducción Uso Y Cobertura De La Tierraunclassified

Cambio en la cobertura vegetal y uso del suelo del 2000 al 2009 en Morelos, México

Porcayo-Calderón

Díaz

Pola

et al. 2018

RMCF

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ArtículoCambio en la cobertura vegetal y uso del suelo del 2000 al en Morelos, México ResumenLos estudios relacionados con los cambios progresivos en la cobertura vegetal y de uso de suelo han cobrado importancia en la investigación ambiental, ya que permiten evaluar las tendencias espacio-temporales de procesos como la deforestación y degradación ambiental, provocadas por actividades humanas. En el presente estudio, se hace una descripción de los cambios de cobertura y uso del suelo en el estado de Morelos durante el periodo 2000-2009. Se identifican 14 clases de coberturas vegetales y usos del suelo, que incluyen cuerpos de agua, los cuales no se consideran en el análisis y se registran dos coberturas que ganan terreno: agricultura, con un incremento de 1 373 ha y urbano, con 189 ha; las que más se transforman son selva baja (1 841 ha) y los bosques, con 858 ha. La dinámica del cambio es compleja y se identifican factores socioambientales y de tenencia de la tierra como las causas principales. Datos satelitales multiespectrales de LANDSAT se usaron para mapear y analizar los cambios de uso de suelo producidos en los años 2000 y 2009, mediante el software ESRI ARCMAP 10. Se empleó la técnica de clasificación supervisada, basada en el algoritmo de máxima verosimilitud. La información sobre el uso de cobertura vegetal y uso del suelo así como la identificación de las posibilidades para su uso óptimo, obtenida con percepción remota y sistemas de información geográfica, es esencial para la selección, planificación y ejecución de planes de ordenamiento territorial, desarrollo, conservación y aprovechamiento de recursos naturales, con el propósito de satisfacer la creciente demanda de las necesidades básicas del hombre, así como su bienestar.Palabras clave: Cobertura vegetal, ordenamiento territorial, percepción remota, Sistemas de información geográfica, tenencia de la tierra, uso de suelo. Fourteen types of vegetation cover and land-use, including water bodies, were identified, all though the latter were no included in the analysis. Agricultural and urban land cover increased 1 373 ha and 189 ha, respectively; whereas the landcover that undergo the greatest transformations are the forests, with 858 ha, and tropical dry forests, with 1 841 ha. The dynamics of change are complex, its

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Assessing implications of land-use and land-cover change dynamics for conservation of a highly diverse tropical rain forest

Cited by 93 publications

References 48 publications

Identifying hotspots of land use cover change under socioeconomic and climate change scenarios in Mexico

Identifying hotspots of land use cover change under socioeconomic and climate change scenarios in Mexico

How well does random forest analysis model deforestation and forest fragmentation in the Brazilian Atlantic forest?

Cambio en la cobertura vegetal y uso del suelo del 2000 al 2009 en Morelos, México

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