2 research outputs found

    Índice de progreso social del distrito de Virú

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    El producto bruto interno per cápita es considerado hoy el principal indicador económico que mide el desarrollo de los países; sin embargo, este indicador no representa plenamente el nivel de satisfacción de las necesidades de la población. Es por ello que nace el Índice de Progreso Social (IPS) desarrollado por el Social Progress Imperative, el cual cuenta tres dimensiones: (a) Necesidades Humanas Básicas, (b) Fundamentos del Bienestar, y (c) Oportunidades, integradas cada una de ellas por cuatro componentes. Este índice tiene como objetivo medir los resultados de la aplicación de las políticas gubernamentales orientadas a la satisfacción de estas necesidades. Bajo esta metodología, se calculó el IPS del distrito de Virú, arrojando como resultado 57.20 y ubicándose en un rango de calificación “Medio bajo”, rango que además es compartido por las tres dimensiones del índice; debemos precisar que, dentro de las dimensiones, existen tres componentes que han alcanzado una calificación mayor al rango promedio (entre “Medio alto”, y “Alto”) y cinco que se encuentran dentro de un rango menor al promedio (entre “Muy bajo” y “Extremo Bajo); los cuales son analizados frente al Plan de Desarrollo Concertado del Municipio y otros instrumentos de gobierno. Algunos de estos compontes se encuentran incluidos de manera directa, con planes de acción e indicadores de medición, mientras que otros no han sido considerados. Asimismo, para la realización del presente estudio, dividimos al distrito en dos sectores que fueron determinados de acuerdo a su ubicación geográfica, tomando como punto de referencia el corte efectuado por el paso de la carretera panamericana; siendo que el sector 1 (lado este) obtuvo un IPS de 58.95, rango “Medio bajo”; mientras que el sector 2 (lado oeste) arrojó un IPS de 50.07, rango “Bajo”. Esta diferencia determina distintas carencias para cada sector, así como diferentes oportunidades de mejora que la gestión gubernamental deberá tomar en consideración para la elaboración de sus planes de acción.Nowadays, the Gross Domestic Product per capita is considered the main economic indicator that measures the development of the countries. However, this indicator does not totally fully describe the unmet needs of the population. That is why the Social Progress Index (SPI) developed by the Social Progress Imperative is born, which has three dimensions: (a) Basic human needs, (b) Fundamentals of well-being and (c) Opportunities, each one also integrated by four components; The purpose of this indicator is to measure the results of government policies application oriented to the satisfaction of this needs. Under this methodology, the IPS of the district of Virú was calculated, getting a result of 57.20 and placing itself in a "Medium Low" rating range, a range that is also shared by the three dimensions of the index; we must specify that, within the dimensions, there are three components that have achieved a higher rating than the average range (between "Medium High", and "High") and five that are within a lower than average range (between "Very low" "And" Extreme Low); which are analyzed against the Concerted Development Plan of the Municipality and other government instruments. Some of these components are included directly, with action plans and measurement indicators, while others have not been considered. Likewise, in order to make this investigation, we divided the district into two sectors that were determined according to their geographical location, taking as a point of reference the cut made by the passage of the Pan-American highway; being that sector 1 (east side) obtained an SPI of 58.95, "medium low" range; while sector 2 (west side) showed an SPI of 50.07, "Low" range. This difference determines different deficiencies for each sector as well as different opportunities for improvement that government management should take into consideration for the preparation of their action plans.Tesi

    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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