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We present a comprehensive snow dataset for Mont-Lebanon. The dataset includes continuous meteorological observations from three high elevation automatic weather stations (AWS), snowpack field measurements collected at 30 different snow courses (elevation range 1300-2900 m a.s.l.), and post-processed MODIS snow products. Meteorological and snow observations are presented for the snow seasons (November-June) between 2011 and 2016 for Mzar (MZA, 2294 m a.s.l.), 2014-2016 for the Cedars (CED, 2834 m a.s.l.), and 2015-2016 for Laqlouq (LAQ, 1830 m a.s.l.). Meteorological and snow data includes snow depth, temperature, relative humidity, incoming and reflected solar radiation, wind speed and direction, and atmospheric pressure measured at 30-min interval. Snow depth, snow density, and snow water equivalent were measured at the 30 different snow courses during snow season 2015 and 2016 with an average revisit time of 11.4 days. Post-processed daily MODIS snow cover area (SCA) and snow cover duration (SCD) products are presented for the three snow dominated basins (Abou Ali, Ibrahim, and El Kelb) and cover the time period from 01 November 2011 to 31 June 2016.

Based on published distribution maps of 15 key fish species, foraging areas of three top predators during their breeding season, and fishing grounds of the main commercial fleets in the southern Benguela ecosystem, seven spatialized ecosystem indicators are derived: biodiversity, connectivity, mean ratio of fished area and area of distribution by species, exploited fraction of the ecosystem surface area, total catch per fished area by fishery, mean bottom depth of catches, and mean distance of catches from the coast. These indicators are compared and their suitability for an ecosystem approach to fisheries is discussed. The first two indicators characterize the ecosystem; the others are pressure indicators that are also compared with conventional (catch rate) indices of abundance. (c) 2005 International Council for the Exploration of the Sea. Published by Elsevier Ltd. All rights reserved.