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  • We determined the soil hydrological characteristics for 51 sites located in three regions in the Corridor Ankeniheny-Zahamena (CAZ) in Madagascar. The sites differed in terms of land use and land history: closed canopy forests, reforestation sites, tree fallows, shrub fallows, degraded grassland sites and eucalyptus plantations. Full details about this dataset can be found at https://doi.org/10.5285/7987c6d4-973d-436d-a13b-c52997d0bce5

  • Water quality data produced from rainfall, throughfall and stemflow samples collected within a beech stand at Black Wood in Hampshire, and an ash stand at Old Pond Close in Northamptonshire. Two studies were carried out in the early 1990s to examine water quality in relation to hydrological and pollution changes. Chemical analysis involved a combination of electrometric (pH), inductively-coupled plasma emission spectroscopy (most major, minor and trace elements), atomic absorption spectroscopy (potassium), ion chromatography (major anions and fluorine) and colourimetry (ammonium and silicon).

  • Results of moth surveys carried out at four landscapes in North-West Hampshire in June and July 2014. The data includes dates and locations of the surveys and associated counts for each of 180 moth species. Also included is information on site management, connectivity of survey sites to chalk grassland and habitat specialism of each moth species. Moths were surveyed in light traps for 24 nights in June/July 2014 in four landscapes in North-West Hampshire. Each survey location contained a patch of protected chalk grassland habitat surrounded mostly by arable fields. Each landscape was surveyed for six nights, with two traps being placed on the chalk grassland and the remaining eight being placed on arable fields at a range of distances from the chalk grassland patch. Traps on arable fields were alternated between arable field margins and arable field centres across the six nights. Four of eight arable field margins in each landscape comprised an area of grassland habitat created under agri-environment schemes. Full details about this dataset can be found at https://doi.org/10.5285/a8819ca7-1d16-4acf-b27c-983a73e7a7cd