995 resultados para Natural Park


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Biodiversity within the subfamily Alyssinae (Hymenoptera, Braconidae) in the Natural Park Peñas de Aya (Spain). The study of parasitoid Hymenoptera is of significance for the assessment of diversity in a given area because of their role in the regulation of insects populations. The present work analyses diversity within Alysiinae (Hymenoptera, Braconidae) in the Forested Estate of Artikutza, located in the Natural Park Peñas de Aya, western Pyrenees, Spain. Collection of specimens was spread over two years and was carried out in two different habitats: mixed forest and beech forest. A total of 2,270 specimens, belonging to 22 separate genera, were captured. Subsequently, alpha, beta and gamma diversities were analysed, and the beech forest was proven to host greater diversity than the mixed forest. A sampling strategy was adopted for the analysis of Alysiinae phenology and its relationship with environmental climatic conditions; as a result, a direct relationship between phenology and temperature was attested.

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Se estudian las comunidades de macroinvertebrados de los ríos del Parque Natural de Sant Llorenç del Munt i la Serra de l'Obac (Barcelona, NE España) y su relación con las condiciones de flujo de los ríos. Hasta 78 localidades se visitaron en dos ocasiones (invierno y verano de 1996) y en 26 de ellas se tomaron muestras de macroinvertebrados. Mientras en invierno el 63 % de los kilÛmetros investigados tenía flujo continuo y menos del 1% estaba seco, en verano solo el 26% tenía flujo continuo, un 20% estaba totalmente seco y el resto presentaba pozas en su lecho. A pesar de ello el número de familias de macroinvertebrados fue de 54 en invierno y 94 en verano, siendo dominantes en este último caso los heterópteros, coleópteros, odonatos y dípteros, mientras que en invierno los tricópteros y plecópteros eran más diversos. En general, la comunidad presentó una estrategia trófica recolectora aunque la proporción de los ramoneadores y depredadores aumentó en verano. El estudio de las comunidades mediante el análisis de su abundancia en los dos perÌodos, mostró que las variables temporales (flujo, temperatura) o las relacionadas con el incremento de la producciÛn primaria (oxÌgeno, pH) explicaban la mayor parte de la variabilidad con los elementos mas reófilos propios de invierno y los leníticos de verano, mientras que otros factores fisicoquímicos no eran relevantes. Calculado el índice biológico BMWP' se demostró que los valores en verano eran superiores o similares a los de invierno lo que se explica por la mayor diversidad aunque la calificaciÛn individual de cada una de las familias encontradas en verano fuera menor que las halladas en invierno.

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[EN] Petrography and sedimentology of aeolian sands: a tool for diagnose the sedimentary deficit in La Graciosa island (Natural Park of Archipielago Chinijo, Canary Islands, Spain).

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Tayrona National Natural Park (TNNP; 11°17' - 11°22' N and 73°53' - 74°12' W) is a hotspot of coral reef biodiversity in the Colombian Caribbean, located between the city of Santa Marta (>455,000 inhabitants) and several smaller river mouths (Rio Piedras, Mendihuaca, Guachaca). The region experiences a strong seasonal variation in physical parameters (temperature, salinity, wind, and water currents) due to alternating dry seasons with coastal upwelling and rainy seasons. Here, a range of water quality parameters relevant for coral reef functioning is provided. Water quality was measured directly above local coral reefs (~10 m water depth) by a monthly monitoring for up to 25 months in the four TNNP bays (Chengue, Gayraca, Neguanje, and Cinto) and at sites with different degree of exposition to winds, waves and water currents (exposed vs. sheltered sites) within each bay. The water quality parameters include: inorganic nutrient (nitrate, nitrite and soluble reactive phosphorus), chlorophyll a, particulate organic carbon and nitrogen concentrations (with a replication of n=3) as well as oxygen availability, biological oxygen demand, seawater pH, and water clarity (with a replication of n=4). This is by far the most comprehensive coral reefs water quality dataset for the region. A detailed description of the methods can be found within the referenced publications.