Effects of Protected Areas on Forest Cover Change and Local Communities: Evidence from the Peruvian Amazon

Miranda, Juan José; Corral, Leonardo; Blackman, Allen; Asner, Gregory P.; Lima, Eirivelthon

doi:10.1016/j.worlddev.2015.10.026

Cited by 125 publications

(62 citation statements)

References 37 publications

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“…The relationship between land-cover change and its various explanatory variables are affected by geographical scale of the study, different sub-regions within the overall system and different time periods considered [5,25,26,39,54,59,60]. Although our study is done at one scale (landscape level), different zones and eras are considered in explaining the relationship between explanatory variables and land-cover change.…”

Section: Discussionmentioning

confidence: 99%

Proximate Causes of Land-Use and Land-Cover Change in Bannerghatta National Park: A Spatial Statistical Model

Adhikari

Fik

Dwivedi

2017

Forests

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Abstract:Land change modeling has become increasingly important in evaluating the unique driving factors and proximate causes that underlie a particular geographical location. In this article, a binary logistic regression analysis was employed to identify the factors influencing deforestation and simultaneous plantation driven reforestation in Bannerghatta National Park, located at the periphery of one of the fastest growing cities in India, i.e., Bangalore. Methodologically, this study explores the inclusion of different sub-regions and statistical population to address spatial autocorrelation in land change modeling. The results show negative relationship between deforestation and protected area status and edge of previous forest clearing. In addition, the deforestation models found differences in the processes that are affecting forest clearing in our two sub-periods of 1973-1992 and 1992-2007. The plantation driven reforestation in the region were attributed to distance to major towns, Bangalore city, rural centers and major and minor roads suggesting the importance of accessibility to market for heavy cash crops such as coconut palm and eucalyptus. Finally, the inclusion of different sub-regions and statistical population facilitated a better understanding of varying driving factors in different zones within the overall landscape.

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Section: Discussionmentioning

confidence: 99%

Proximate Causes of Land-Use and Land-Cover Change in Bannerghatta National Park: A Spatial Statistical Model

Adhikari

Fik

Dwivedi

2017

Forests

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“…Tal es el caso de la problemática de la defo-Problemática territorial y conservación de la biodiversidad en espacios protegidos de Argentina restación en el Amazonas y sus efectos sobre los espacios protegidos en Brasil (Barber, Cochrane, Souza, & Laurance, 2014); los efectos sobre los espacios protegidos a consecuencia de los cambios de uso del suelo en el Amazonas peruano y en la península de Yucatán en México (García-Frapolli, Ayala-Orozco, Bonilla-Moheno, Espadas-Manrique, & Ramos-Fernández, 2007;Miranda, Corral, Blackman, Asner, & Lima, 2016); el análisis de las consecuencias de la ocupación humana en espacios protegidos de Perú (Dourojeanni, 2014); o el análisis de los efectos negativos que los actuales y futuros cambios de uso del suelo podrían tener en torno a los espacios protegidos en Estados Unidos (Hamilton et al, 2013).…”

Section: Discussionunclassified

Untitled

2017

Ingeo

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The sea-breeze (SB) is an important source of summertime precipitation in North Carolina (NC, southeast United States). However, not all SB events produce precipitation. A climatology of wet and dry SB events in NC is used to investigate the conditions that are conducive to precipitation associated with the sea breeze.Radar imagery was used to detect 88 SB events that occurred along the NC coast between MaySeptember of 2009-2012. The majority (85%) of SB events occurred during offshore flow (53%) or during flow that was parallel to the coast (22%). SB events were separated into dry (53%) and wet (47%) events and differences in the dynamic and thermodynamic parameters of the environment in which they formed were analyzed. Significant differences in dynamic and thermodynamic conditions were found. SB dry events occurred under stronger winds (6.00 ± 2.36 ms -1 ) than SB wet events (4.02 ± 2.16 ms -1 ). Moreover, during SB wet events larger values of convective available potential energy and lower values of convective inhibition were present, conditions that favor precipitation. Overall, the SB wet events accounted for 20-30% of the May-September precipitation along the NC coastal region. The position of the North Atlantic Subtropical High (NASH) controls both moisture availability and winds along the NC coast, thus providing a synoptic-scale control mechanism for SB precipitation. In particular, it was shown that when the NASH western ridge is located along the southeast coast of the United States, it causes a moist southwesterly flow along the NC coast that may favor the occurrence of SB wet events.Keywords: Sea breeze; precipitation; North Carolina; North Atlantic Subtropical High; wind direction; wind speed. N.T., Nieto Ferreira, R. Rickenbach, T.M., Nissenbaum, M.R. and McAuliffe J.D. Investigaciones Geográficas, nº 68, pp. 09 -25. ResumenLa brisa marina (BM) es una importante fuente de precipitación de verano en Carolina del Norte (NC en su sigla en inglés), sudeste de Estados Unidos. Sin embargo, no todos los eventos de BM producen precipitación. En este trabajo se utiliza una climatología de eventos de BM lluviosos y secos en NC para investigar las condiciones que conducen a la precipitación.Se utilizaron imágenes de radar para detectar 88 eventos de BM ocurridos a lo largo de la costa NC entre mayo y septiembre de 2009 a 2012. La mayoría (85%) de los eventos de BM ocurrieron durante períodos de viento hacia el mar (53%) o viento paralelo a la costa (22%). Los eventos BM se separaron en eventos secos (53%) y lluviosos (47%) y se analizaron las diferencias en los parámetros dinámicos y termodinámicos del entorno en el que se formaron. Se encontraron diferencias significativas en las condiciones dinámicas y termodinámicas. Eventos de BM secos ocurrieron bajo vientos más fuertes (6,00 ± 2,36 ms-1) que los eventos de BM lluviosos (4,02 ± 2,16 ms-1). Las BM lluviosas ocurrieron bajo valores de energía potencial convectiva disponible más altos y valores del parámetro de inhibición convectiva más bajos,...

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“…Given that the particular impacts are more easily amenable to quantifi cation than some other aspects of human well-being, it is not surprising that IE studies have emphasized them. In this literature, household surveys are the primary way in which scholars have constructed indicators of socioeconomic impact such as wealth ranking, asset valuation, and access to employment, education, water, and electricity (e.g., Clements et al 2014;Miranda et al 2016). Figure 3 shows the geographic distribution of studies evaluating the impacts of forest conservation interventions on human well-being and ecological outcomes.…”

Section: Experimental and Quasi-experimental Impact Evaluation Approamentioning

confidence: 99%

“…Nevertheless, in the context of new donor strategies and emphasis on interlinkages among the SDGs, there is increasing demand for studies examining both social and ecological impacts. A growing number of studies suggest this demand is beginning to be met (e.g., Alix-Garcia et al 2012;Ferraro et al 2011;Miranda et al 2016;Pfaff et al 2014;Scullion et al 2014). IE approaches have evolved to cover more countries and have generally increased over time, but they have also evolved substantively.…”

Section: Experimental and Quasi-experimental Impact Evaluation Approamentioning

confidence: 99%

A Crystal Ball for Forests?: Analyzing the Social-Ecological Impacts of Forest Conservation and Management over the Long Term

Miller¹,

Rana²,

Wahlén³

2017

Environment and Society

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Citizens, governments, and donors are increasingly demanding better evidence on the eff ectiveness of development policies and programs. Eff orts to ensure such accountability in the forest sector confront the challenge that the results may take years, even decades, to materialize, while forest-related interventions usually last only a short period. Th is article reviews the broad interdisciplinary literature assessing forest conservation and management impacts on biodiversity conservation, climate change mitigation, and poverty alleviation in developing countries. It emphasizes the importance of indicators and identifi es disconnects between a rapidly growing body of research based on quasi-experimental designs and studies taking a more critical, ethnographic approach. Th e article also highlights a relative lack of attention on longer-term impacts in both of these areas of scholarship. We conclude by exploring research frontiers in the assessment of the impacts of forest-related interventions with long incubation periods, notably the development of predictive proxy indicators (PPIs).Ⅲ

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Effects of Protected Areas on Forest Cover Change and Local Communities: Evidence from the Peruvian Amazon

Cited by 125 publications

References 37 publications

Proximate Causes of Land-Use and Land-Cover Change in Bannerghatta National Park: A Spatial Statistical Model

Proximate Causes of Land-Use and Land-Cover Change in Bannerghatta National Park: A Spatial Statistical Model

Untitled

A Crystal Ball for Forests?: Analyzing the Social-Ecological Impacts of Forest Conservation and Management over the Long Term

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