4 research outputs found

    Políticas Públicas e Agricultura Familiar: Um Estudo de Caso no Território Rural São Mateus em Minas Gerais

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    This paper aimed to present the results of research carried out by Nucleus of Extension in Territorial Development (Nedet) about implementation and operationalization of universal public policies involving family farming in São Mateus Rural Territory, Minas Gerais State. In addition, it is intended to briefly describe about territorial approach of development that originated the Rural Territories Program and the difficulties in the operationalization of universal public policies in local contexts, taking as a practical example the policies studied in that Territory. As methodology, it was used a qualitative approach through bibliographic search, and semi- structured interviews as technique of data collection in the field. Public policies found several impediments for its implementation and showed minor contribution to the productive inclusion and territorial development in the evaluated period, mainly due to the absence of participation and to the inefficient dialogue among family farmers, entities that represent them, and the municipal governments

    Os fazendeiros da cultura : um estudo sobre a fazenda tradicional e a modernização agricola na região mineira dos cerrados

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    Orientador: Dea Ribeiro FenelonDissertação (mestrado)-Universidade Estadual de Campinas, Instituto de Filosofia e Ciencias HumanasResumo: Não informado.Abstract: Not informed.MestradoMestre em Históri

    As estradas da vida : historia da terra, da fazenda e do trabalho no Mucuri e Jequitinhonha, Minas Gerais

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    Orientador: Alcir LenhoroTese (doutorado) - Universidade Estadual de Campinas, Instituto de Filosofia e Ciencias HumanasResumo: Não informadoAbstract: Not informedDoutoradoDoutor em Históri

    NEOTROPICAL CARNIVORES: a data set on carnivore distribution in the Neotropics

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    Mammalian carnivores are considered a key group in maintaining ecological health and can indicate potential ecological integrity in landscapes where they occur. Carnivores also hold high conservation value and their habitat requirements can guide management and conservation plans. The order Carnivora has 84 species from 8 families in the Neotropical region: Canidae; Felidae; Mephitidae; Mustelidae; Otariidae; Phocidae; Procyonidae; and Ursidae. Herein, we include published and unpublished data on native terrestrial Neotropical carnivores (Canidae; Felidae; Mephitidae; Mustelidae; Procyonidae; and Ursidae). NEOTROPICAL CARNIVORES is a publicly available data set that includes 99,605 data entries from 35,511 unique georeferenced coordinates. Detection/non-detection and quantitative data were obtained from 1818 to 2018 by researchers, governmental agencies, non-governmental organizations, and private consultants. Data were collected using several methods including camera trapping, museum collections, roadkill, line transect, and opportunistic records. Literature (peer-reviewed and grey literature) from Portuguese, Spanish and English were incorporated in this compilation. Most of the data set consists of detection data entries (n = 79,343; 79.7%) but also includes non-detection data (n = 20,262; 20.3%). Of those, 43.3% also include count data (n = 43,151). The information available in NEOTROPICAL CARNIVORES will contribute to macroecological, ecological, and conservation questions in multiple spatio-temporal perspectives. As carnivores play key roles in trophic interactions, a better understanding of their distribution and habitat requirements are essential to establish conservation management plans and safeguard the future ecological health of Neotropical ecosystems. Our data paper, combined with other large-scale data sets, has great potential to clarify species distribution and related ecological processes within the Neotropics. There are no copyright restrictions and no restriction for using data from this data paper, as long as the data paper is cited as the source of the information used. We also request that users inform us of how they intend to use the data
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