16 research outputs found
Análise de sustentabilidade dos beneficiados do Programa Cédula da Terra no municÃpio de Sobral, estado do Ceará
The objective of this study is examining the sustainability of settlements of the Cedula da Terra Program, in the municipality of Sobral. For this, was prepared an index of Sustainability (IS) whereas different variables representing economic and social development, social capital and environmental settlements. It is based on studies undertaken by Barreto, Khan and Lima (2005). The results showed an high level of Sustainability for Macapa and average level of Sustainability for the São João and PicadaSustainable Development, Cédula da Terra Program, Sobral, Agricultural and Food Policy, Community/Rural/Urban Development,
Pervasive gaps in Amazonian ecological research
Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4
While the increasing availability of global databases on ecological communities has advanced our knowledge
of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In
the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of
Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus
crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced
environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian
Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by
2050. This means that unless we take immediate action, we will not be able to establish their current status,
much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio
Pervasive gaps in Amazonian ecological research
Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost
Pervasive gaps in Amazonian ecological research
Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost
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Growth, Equity, and Sustainability: A Case Study of the Impacts of Green Revolution Change in Ceará, Northeast Brazil
The objective of this dissertation is to understand the impacts of the Green Revolution on well-being, poverty and on the natural environment within a case study of Guaraciaba do Norte, a small município on a highland plateau surrounded by the semi-arid caatinga in Northeast Brazil. The Green Revolution technology was introduced in the early 1970's and has since transformed the município of Guaraciaba do Norte. Through the analysis of empirical data three different categories of stakeholders were identified and compared, the traditional rainfed producers located in the carrasco (semi-arid region) and zona húmida (humid zone of the plateau) and the Green Revolution producers called irrigators, located along the rivers. With respects to well-being, the research shows that the Green Revolution had a significant and positive affect on economic growth and development, reducing inequality and poverty levels in the município, as well as having significant multiplier effect on the non-agricultural sector, which is highly dependent on the vegetable production activates. Despite this, there are concerns of increased levels of vulnerability and its role in restricting access of new producers in adopting this technology. The abusive use of pesticides in the initial stages and improper disposal of packaging created environmental issues however, these have been resolved over time. Additionally, climate change effects have led to concerns related to the reduced water availability and consequently the future of agricultural activity in the region
Capital Social, Capital Físico e a Vulnerabilidade do Sertanejo: o Caso das Comunidades de Lustal e Sítio Lagoa no Município de Taua, Ceará
The County of Tauá is located in the region of Inhamuns in
the State of Ceará, one of the areas most affected by impacts of periodic
droughts, with their adverse influence on production and consequently on
the farmers’ quality of life. It is observed that, during climate crises, the
communities have limiting defense mechanisms. It is supposed that the
social capital, as a mechanism that agglutinates and facilitates coordinated
actions, strengthens the communities and reduces the vulnerability.
This study intends to verify and analyze the importance of social and
physical capital as a strategy of Lustal and Sítio Lagoa communities to
live with droughts. For this purpose, a questionnaire containing a list of
social capital variables was submitted to specialists to rank them. Out
of this list the ten most frequent variables were selected. Following, in
the Tauá County, technical specialists and rural agents experienced in
these communities were asked to provide weight to social and physical
capital variables. With this information, an Index was developed to show
the importance of social capital in the reduction of vulnerability as well
as the relative importance of social and physical capital in these communities.
The present work enabled the verification of the relevance of
social and physical capital as decisive elements of the level of vulnerability
of the communities of Lustal and Sítio Lagoa
Capital Social, Capital Físico e a Vulnerabilidade do Sertanejo: o Caso das Comunidades de Lustal e Sítio Lagoa no Município de Taua, Ceará
The County of Tauá is located in the region of Inhamuns in the State of Ceará, one of the areas most affected by impacts of periodic droughts, with their adverse influence on production and consequently on the farmers’ quality of life. It is observed that, during climate crises, the communities have limiting defense mechanisms. It is supposed that the social capital, as a mechanism that agglutinates and facilitates coordinated actions, strengthens the communities and reduces the vulnerability. This study intends to verify and analyze the importance of social and physical capital as a strategy of Lustal and Sítio Lagoa communities to live with droughts. For this purpose, a questionnaire containing a list of social capital variables was submitted to specialists to rank them. Out of this list the ten most frequent variables were selected. Following, in the Tauá County, technical specialists and rural agents experienced in these communities were asked to provide weight to social and physical capital variables. With this information, an Index was developed to show the importance of social capital in the reduction of vulnerability as well as the relative importance of social and physical capital in these communities. The present work enabled the verification of the relevance of social and physical capital as decisive elements of the level of vulnerability of the communities of Lustal and Sítio Lagoa
Capital Social, Capital Físico e a Vulnerabilidade do Sertanejo: o Caso das Comunidades de Lustal e Sítio Lagoa no Município de Taua, Ceará
The County of Tauá is located in the region of Inhamuns in the State of Ceará, one of the areas most affected by impacts of periodic droughts, with their adverse influence on production and consequently on the farmers’ quality of life. It is observed that, during climate crises, the communities have limiting defense mechanisms. It is supposed that the social capital, as a mechanism that agglutinates and facilitates coordinated actions, strengthens the communities and reduces the vulnerability. This study intends to verify and analyze the importance of social and physical capital as a strategy of Lustal and Sítio Lagoa communities to live with droughts. For this purpose, a questionnaire containing a list of social capital variables was submitted to specialists to rank them. Out of this list the ten most frequent variables were selected. Following, in the Tauá County, technical specialists and rural agents experienced in these communities were asked to provide weight to social and physical capital variables. With this information, an Index was developed to show the importance of social capital in the reduction of vulnerability as well as the relative importance of social and physical capital in these communities. The present work enabled the verification of the relevance of social and physical capital as decisive elements of the level of vulnerability of the communities of Lustal and Sítio Lagoa