nonCciKeyword

forest

5 record(s)

 

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  • This data contains the strain and wind data collected for 21 trees in Wytham Woods, a mature temperate woodland in southern England, from September 2015 to June 2016. This data was collected in order to (a) extract the resonant frequencies of trees, (b) to estimate the critical wind speeds at which the trees would break and (c) to test a finite element model of tree-wind dynamics. The strain data was collected at 4Hz using two strain gauges per tree attached at 1.3metres on the trunk and approximately perpendicular to each other. The wind data provided were collected from the canopy walkway in Wytham Woods using a cup anemometer (Vector Instruments A100LK/5M) in winter and a Gill Sonic-1 in summer, the time resolution varies between these instruments. Local climate data, including long term wind data, are available from the Environmental Change Network (https://doi.org/10.5285/fc9bcd1c-e3fc-4c5a-b569-2fe62d40f2f5 or data.ecn.ac.uk). Full details about this dataset can be found at https://doi.org/10.5285/533d87d3-48c1-4c6e-9f2f-fda273ab45bc

  • This dataset contains calculated terrestrial fluxes of methane and nitrous oxide using static chambers from the Sodankylä region of Northern Finland across both forest and wetland ecosystems. Measurements were carried out during growing season 2012 in two measurement campaigns (Summer: 12th July - 2nd August; Autumn: 22nd September - 14th October) using 60 static chambers (21 within the forest and 39 within the wetland). Fluxes were measured on approximately 2 day intervals resulting in a total of 10 measurements for all chambers during the summer campaign, and 7 for the forest and 8 for the wetland chambers during the autumn campaign. In addition to fluxes, auxiliary measurements include soil temperature, water table depth (wetland only), soil moisture (forest only) and soil respiration. The data was collected as part of the MAMM project (Methane and other greenhouse gases in the Arctic: Measurements, process studies and Modelling, http://arp.arctic.ac.uk/projects/) funded by the UK Natural Environment Research Council (grant NE/I029293/1) involving partners from CEH and the Finnish Meteorological Institute (Climate Change Research, FI-00101 Helsinki, Finland). Full details about this dataset can be found at https://doi.org/10.5285/6b8501c8-3931-4c5e-8e1b-584a6ea0d233

  • This dataset includes measurements of microbial community composition by phospholipid fatty acid (PLFA) analysis, soil respiration (Carbon dioxide (CO2)), soil physico-chemical properties and 13C enrichment in CO2 samples and microbial Phospholipid Fatty Acids (PLFAs). Data were produced for an investigation of the effects of carbon (C) substrate addition on soil carbon cycling processes in ten tropical soils from the Peruvian Andes. Soils were amended with 13C labelled substrates (xylose, glycine, vanillin and hemicellulose) and incubated under controlled conditions for 7 days. Full details about this dataset can be found at https://doi.org/10.5285/cc264d08-ba89-42f0-a7cf-9c9477e1e2bd

  • 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

  • This dataset consists in a collection of remotely sensed drought indicators time series. The data was extracted from CEH's gridded remotely sensed drought indicators product (Tanguy et al., 2016; http://doi.org/10.5285/4e0d0e50-2f9c-4647-864d-5c3b30bb5f4b), which has gridded data for Europe for three drought indicators: - the Vegetation Condition Index (VCI) based on satellite product NDVI (Normalised Difference Vegetation Index); - the Temperature Condition Index (TCI) based on remotely sensed LST (Land Surface Temperature); - the Vegetation Health Index (VHI) which is a combination of VCI and TCI. These three drought indicators have been extracted for European NUTS regions (level 0, 1, 2 and 3). These have been masked with a land use land cover map to be able to study different responses for various land cover types. A simplified LULC was created, with only four classes: forest, crop, shrub and grass. One extra time series was created for all classes together. Full details about this dataset can be found at https://doi.org/10.5285/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e