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• W2007995280 abstract "A biodiversity gap analysis is a method, now usually employing geographic information systems, for identifying deficiencies in existing biodiversity protection. Key principles of gap analysis were applied to a region of southcentral Ohio (U.S.A.) known as The Edge of Appalachia as part of a detailed, large-scale (1:24,000) nature reserve design project. By combining Landsat thematic mapper imagery with ancillary data (bedrock geology, elevation, slope, aspect, and stream proximity), a rule-based model was developed to differentiate and map the natural plant communities present in the 378-km2 study area. The model was then used to generate a map depicting the most likely presettlement plant community distributions for the area. These two maps were compared against the 5273 ha owned and managed by state and local conservation organizations. For the current natural plant community distributions, regional land-protection efforts represented each plant community proportionally; however, comparison with the presettlement vegetation clearly identified serious historical losses of several plant community types. Our results suggest that future land acquisitions should emphasize those plant community types that were once more widespread in the region prior to European settlement, a time when natural processes were less compromised by human activity. Current and historical plant-community mapping results were combined and evaluated using the ownership parcel as the fundamental mapping unit. From parcel-based desirability maps a conservation plan was developed that addressed community deficiencies using a representation target of25% for each community type, as derived from the modeled presettlement landscape. El análisis de intervalos de biodiversidad, es un método que en la actualidad emplea Sistemas de Información Geográfica, para identificar deficincias en la protección de la biodiversidad existente. Los principios claves del analisis de intervalos fueron aplicados en región la sur-central de Ohio (E.U.A.), conocida como el Borde de Appalachia, como parte de un detallado proyecto a gran escala (1:24,000) sobre el diseño de una reserva natural. Combinando imágenes de satélite de Landsat TM con datos auxiliares (geología del lecho de roca, elevación, inclinación, aspecto y proximidad de los ríos), se desarrollo un modelo para diferenciar y mapear las comunidades naturales de plantas presentes en los 378 km2 del área de estudio. El modelo fue utilizodo luego para generar un mapa que describe las distribuciones de las communidades de plantas existentes antes del asentamiento Europeo. Estas dos mapas fueron comparados con las 5273 ha poseidas y manejadas por el estado y las organizaciones conservacionistas locales. Para la distribución actual de la comunidad natural de plantas, los esfuerzos regionales de protección de tierras representaron proporcionalmente coda comunidad de plantas; sin embargo, la comparación con la vegetación presente antes de los asentamientos permite una clara identificatión de serias pérdidas históricas de varios tipos de comunidades de plantas. Nuestros resultados sugieren que la adquisición futura de tierras debe enfatizar aquellos tipos de comunidades que se encontraban más diseminados en la región, antes del asentamiento Europeo, época en la cual, los procesos naturales estaban menos comprometidos por las actividades humanas. Los resultados del mapeo actual e histórico de las comunidades de plantas fueron combinados y evaluados utilizando la tenencia de la parcela como unidad fundamental de mapeo. A partir de los mapas basados en las parcelas, se desarrolló un plan de conservación que consideró las deficiencias de la comunidad, utilizando un objetivo de representación del 25% para cada tipo de communidad, de acuerdo al modelo del paisaje anterior a los asentamientos." @default.
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• W2007995280 date "1995-12-01" @default.
• W2007995280 modified "2023-09-25" @default.
• W2007995280 title "Applying Biodiversity Gap Analysis in a Regional Nature Reserve Design for the Edge of Appalachia, Ohio (U.S.A.)" @default.
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• W2007995280 doi "https://doi.org/10.1046/j.1523-1739.1995.09061492.x" @default.
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