nonCciKeyword

Brazil

7 record(s)

 

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From 1 - 7 / 7
  • [This dataset is embargoed until November 29, 2021]. The data consists of litterfall production in a fertilised old growth forest in Central Amazon. Data was collected in a full factorial nutrient addition experiment (nitrogen, phosphorus and cation treatments). Within each plot we have installed five litter traps of 50 cm x 50 cm, 1 m above ground, occupying an area of 1.25 m2 per plot, and ensuring litter reaching the trap was produced within the experimental plot area. The study was funded by NERC, BDFFP (logistical support) and the Brazilian government (students scholarship). Full details about this dataset can be found at https://doi.org/10.5285/c0294ec9-45d6-464c-b543-ce9ece9fd968

  • The data consists of morphological properties of fine roots in old growth forests in Central Amazon. Fine roots younger than three months were sampled using the ingrowth core technique in a large-scale nutrient fertilisation experiment. Morphological properties are given as a mean of the plant community per plot, where five points inside each plot were sampled and separated in two different soil layers (0-10 and 10-30cm). Samples were collected in February 2018, eight months after the nutrient fertilisation started at the AFEX project area in Manaus, Brazil at the Biological Dynamics of Forest Fragments Project (BDFFP/ INPA). The study was funded by NERC, BDFFP (logistical support) and Brazilian government (student scholarship). Full details about this dataset can be found at https://doi.org/10.5285/4ccaab66-2818-41b8-8b31-1a710766c5d6

  • The data consists of carbon, micro and macro nutrient concentrations in fine roots (<2mm diameter) in old growth forests in Central Amazon. Fine roots younger than three months were sampled using the ingrowth core technique in a large-scale nutrient fertilisation experiment. Carbon and nutrient concentrations refer to year one of fertilisation, bulking samples from November 2017 to August 2018. Concentrations are given as a mean of the community per plot in year 1, where five points inside each plot were sampled in the 0-10 cm and 10-30 cm soil layers. The dataset depicts the concentrations of iron, zinc, manganese, calcium, magnesium, potassium, phosphorus, nitrogen and carbon in fine roots in two different soil depths. Samples were collected at the AFEX project area in Manaus, Brazil at the Biological Dynamics of Forest Fragments Project (BDFFP/ INPA). The study was funded by NERC, BDFFP (logistical support) and Brazilian government (student scholarship). Full details about this dataset can be found at https://doi.org/10.5285/ba190356-1731-4558-be7a-3fedc570663a

  • The data consists of total arbuscular mycorrhizal fungi colonisation in fine roots in old growth forests in Central Amazon. Fine roots younger than three months were sampled using the ingrowth core technique in a large-scale nutrient fertilisation experiment. Total mycorrhizal colonisation is given as a mean of the plant community per plot, where five points inside each plot were sampled in the 0-10 cm soil layer. The spreadsheet depicts the percentage of fine root length colonised by different arbuscular mycorrhizal structures (hyphae, arbuscules and vesicles). Samples were collected in February 2018, eight months after the nutrient fertilisation started at the AFEX project area in Manaus, Brazil at the Biological Dynamics of Forest Fragments Project (BDFFP/ INPA). The study was funded by NERC, BDFFP (logistical support) and Brazilian government (student scholarship). Full details about this dataset can be found at https://doi.org/10.5285/52f756a1-a0f6-4991-b21b-4042018a451f

  • [This dataset is embargoed until November 1, 2020]. This data set includes longitudinal abundance of dung beetles at dung-baited pitfall traps, recorded in 2010, 2016 and 2017 (around six years before, six months after and 18 months after the 2015-16 El Niño event, respectively) in the Brazilian Amazon region. Dung beetles were collected during the collaborative projects AFIRE (Assessing ENSO-induced Fire Impacts in tropical Rainforest Ecosystems) and ECOFOR (Biodiversity and Ecosystem Functioning in degraded and recovering Amazonian and Atlantic Forests), which are part of the NERC Human-Modified Tropical Forest (HTMF) programme. Full details about this dataset can be found at https://doi.org/10.5285/799db965-3ce7-4e9b-8590-de6a8624d652

  • The data set contains vertical profiles of diffuse light transmittance measured within six forest plots in montane Atlantic forest, São Paulo state, Brazil. The plots measured include intact, previously logged and secondary forest in a large continuous forest block of the Serra do Mar State Park (Parque Estadual de Serra do Mar), and two forest fragments outside the park. In each plot 10 - 12 individual light profiles were recorded; the data set contains these individual profiles and averages profiles for each plot based on both height above the ground and depth below the canopy. Each profile was measured only once. Data was collected March - November 2015 as part of the NERC Human modified Tropical Forest Programme. Full details about this dataset can be found at https://doi.org/10.5285/4f3cf9f6-d7e5-4ae0-87c9-064b4e66a92a

  • The data contains bird species records from the Vale do Paraíba and Serra do Mar regions in the state of São Paulo, Brazil. Bird species were surveyed using point counts between December 2015 and February 2017, with four temporal replicates per point for which the number of replicates in which each bird species was detected is recorded. A total of thirty-four fragmented and fifteen near continuous land-use landscapes were surveyed using a nine-point grid system with each point separated by 75m. For fragmented landscapes three of the points were situated within a native forest fragment, three at the fragment edge and three in the surrounding matrix habitat. Fifteen fragments had a Eucalyptus plantation matrix and nineteen had a pasture matrix. Continuous land-use landscapes were split equally between native forest, plantation forest and pasture. A total of 267 bird species were detected across the different land-use types. Full details about this dataset can be found at https://doi.org/10.5285/45f5c9eb-7bd3-435f-97f3-ce149f3b381c