Pobreza, Deforestación y Pérdida de la Biodiversidad en Guatemala

This paper explores the causes of deforestation and biodiversity loss in Guatemala and is organized into 4 parts. First, an overview about deforestation in Guatemala from 1950-2000 is provided, and the relationship between deforestation and biodiversity loss is explored. Secondly, some underlying causes of deforestation are examined. While caution is needed about many conventional hypotheses, there are strong reasons to believe that higher rural wages generated by greater off-farm employment opportunities reduce deforestation. Thirdly, an empirical analysis indicates that agricultural activities in rural areas remain closely tied to deforestation because of the virtual absence of non- environmental assets of the poor. And finally, some doubts are placed on the excessive establishment of Integrated Conservation and Development Projects (ICDPs) within the countryside. In particular, the paper concludes that for the case of Guatemala strengthening the rural non- farm sector and human capital formation should be regarded as a key elements of a development strategy that tries to combine biodiversity conservation within a framework of sustainable economic growth and poverty alleviation. El presente trabajo explora las causas de la deforestación y la pérdida de la biodiversidad en Guatemala. El documento se divide en cuatro partes. En la primera parte, se presenta una generalización sobre la deforestación en Guatemala entre 1950-2000. Así mismo, se explora la relación entre la deforestación y la pérdida de la biodiversidad. En la segunda parte, se examinan algunas de las causas de la deforestación. Aunque es necesario analizar con cuidado algunas de las hipótesis convencionales, hay razones sólidas para creer que mayores salarios rurales generados por mejores opciones de empleo no agrícola reducen la deforestación. En la tercera parte, se realiza un análisis empírico, el cual indica que las actividades agrícolas en las áreas rurales están fuertemente relacionadas a la deforestación debido a la ausencia de activos no ambientales de los pobres, como por ejemplo la educación. Finalmente, se plantean algunas dudas sobre el establecimiento excesivo de áreas protegidas dentro del país. En particular, el trabajo concluye que el fortalecimiento del sector rural no agrícola y la formación de capital humano deberían tomarse como elementos claves para una estrategia de desarrollo que intente combinar conservación de la biodiversidad con crecimiento económico sostenible y reducción de la pobreza.Biodiversity, Deforestation, Econometrics, Education, Integrated Conservation and Development Projects, Poverty, Rural Non- farm Employment, Guatemala, Biodiversidad, Deforestación, Econometría, Educación, Areas protegidas, Pobreza, Empleo rural no agrícola

Pobreza, Deforestación y Pérdida de la Biodiversidad en Guatemala

Poverty, Deforestation and Biodiversity Loss in Guatemala This paper explores the causes of deforestation and biodiversity loss in Guatemala and is organized into 4 parts. First, an overview about deforestation in Guatemala from 1950-2000 is provided, and the relationship between deforestation and biodiversity loss is explored. Secondly, some underlying causes of deforestation are examined. While caution is needed about many conventional hypotheses, there are strong reasons to believe that higher rural wages generated by greater off-farm employment opportunities reduce deforestation. Thirdly, an empirical analysis indicates that agricultural activities in rural areas remain closely tied to deforestation because of the virtual absence of non-environmental assets of the poor. And finally, some doubts are placed on the excessive establishment of Integrated Conservation and Development Projects (ICDPs) within the countryside. In particular, the paper concludes that for the case of Guatemala strengthening the rural non-farm sector and human capital formation should be regarded as a key elements of a development strategy that tries to combine biodiversity conservation within a framework of sustainable economic growth and poverty alleviation.Biodiversity, Deforestation, Econometrics, Education,Integrated Conservation and Development Projects,Poverty, Rural Non-farm Employment, Guatemala.

Pobreza, Deforestación y Pérdida de la Biodiversidad en

This paper explores the causes of deforestation and biodiversity loss in Guatemala and is organized into 4 parts. First, an overview about deforestation in Guatemala from 1950-2000 is provided, and the relationship between deforestation and biodiversity loss is explored. Secondly, some underlying causes of deforestation are examined. While caution is needed about many conventional hypotheses, there are strong reasons to believe that higher rural wages generated by greater off-farm employment opportunities reduce deforestation. Thirdly, an empirical analysis indicates that agricultural activities in rural areas remain closely tied to deforestation because of the virtual absence of non- environmental assets of the poor. And finally, some doubts are placed on the excessive establishment of Integrated Conservation and Development Projects (ICDPs) within the countryside. In particular, the paper concludes that for the case of Guatemala strengthening the rural non- farm sector and human capital formation should be regarded as a key elements of a development strategy that tries to combine biodiversity conservation within a framework of sustainable economic growth and poverty alleviation. - El presente trabajo explora las causas de la deforestación y la pérdida de la biodiversidad en Guatemala. El documento se divide en cuatro partes. En la primera parte, se presenta una generalización sobre la deforestación en Guatemala entre 1950-2000. Así mismo, se explora la relación entre la deforestación y la pérdida de la biodiversidad. En la segunda parte, se examinan algunas de las causas de la deforestación. Aunque es necesario analizar con cuidado algunas de las hipótesis convencionales, hay razones sólidas para creer que mayores salarios rurales generados por mejores opciones de empleo no agrícola reducen la deforestación. En la tercera parte, se realiza un análisis empírico, el cual indica que las actividades agrícolas en las áreas rurales están fuertemente relacionadas a la deforestación debido a la ausencia de activos no ambientales de los pobres, como por ejemplo la educación. Finalmente, se plantean algunas dudas sobre el establecimiento excesivo de áreas protegidas dentro del país. En particular, el trabajo concluye que el fortalecimiento del sector rural no agrícola y la formación de capital humano deberían tomarse como elementos claves para una estrategia de desarrollo que intente combinar conservación de la biodiversidad con crecimiento económico sostenible y reducción de la pobreza.Biodiversity, Deforestation, Econometrics, Education, Integrated Conservation and Development Projects, Poverty, Rural Non- farm Employment, Guatemala, biodiversidad, deforestación, econometría, educación, áreas protegidas, pobreza, empleo rural no agrícola

Pobreza, Deforestación y Pérdida de la Biodiversidad en

This paper explores the causes of deforestation and biodiversity loss in Guatemala and is organized into 4 parts. First, an overview about deforestation in Guatemala from 1950-2000 is provided, and the relationship between deforestation and biodiversity loss is explored. Secondly, some underlying causes of deforestation are examined. While caution is needed about many conventional hypotheses, there are strong reasons to believe that higher rural wages generated by greater off-farm employment opportunities reduce deforestation. Thirdly, an empirical analysis indicates that agricultural activities in rural areas remain closely tied to deforestation because of the virtual absence of non- environmental assets of the poor. And finally, some doubts are placed on the excessive establishment of Integrated Conservation and Development Projects (ICDPs) within the countryside. In particular, the paper concludes that for the case of Guatemala strengthening the rural non- farm sector and human capital formation should be regarded as a key elements of a development strategy that tries to combine biodiversity conservation within a framework of sustainable economic growth and poverty alleviation.Biodiversity, Deforestation, Econometrics, Education, Integrated Conservation and Development Projects, Poverty, Rural Non- farm Employment, Guatemala, biodiversidad, deforestación, econometría, educación, áreas protegidas, pobreza, empleo rural no agrícola

Unsupervised supervoxel-based lung tumor segmentation across patient scans in hybrid PET/MRI

Tumor segmentation is a crucial but difficult task in treatment planning and follow-up of cancerous patients. The challenge of automating the tumor segmentation has recently received a lot of attention, but the potential of utilizing hybrid positron emission tomography (PET)/magnetic resonance imaging (MRI), a novel and promising imaging modality in oncology, is still under-explored. Recent approaches have either relied on manual user input and/or performed the segmentation patient-by-patient, whereas a fully unsupervised segmentation framework that exploits the available information from all patients is still lacking. We present an unsupervised across-patients supervoxel-based clustering framework for lung tumor segmentation in hybrid PET/MRI. The method consists of two steps: First, each patient is represented by a set of PET/ MRI supervoxel-features. Then the data points from all patients are transformed and clustered on a population level into tumor and non-tumor supervoxels. The proposed framework is tested on the scans of 18 non-small cell lung cancer patients with a total of 19 tumors and evaluated with respect to manual delineations provided by clinicians. Experiments study the performance of several commonly used clustering algorithms within the framework and provide analysis of (i) the effect of tumor size, (ii) the segmentation errors, (iii) the benefit of across-patient clustering, and (iv) the noise robustness. The proposed framework detected 15 out of 19 tumors in an unsupervised manner. Moreover, performance increased considerably by segmenting across patients, with the mean dice score increasing from 0.169 ± 0.295 (patient-by-patient) to 0.470 ± 0.308 (across-patients). Results demonstrate that both spectral clustering and Manhattan hierarchical clustering have the potential to segment tumors in PET/MRI with a low number of missed tumors and a low number of false-positives, but that spectral clustering seems to be more robust to noise