Data for: "Quantifying carbon stocks in shifting cultivation landscapes under divergent management scenarios relevant to REDD+"
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Included are a dataset and a metadata file required to repeat the analyses reported in:
Borah et al. Quantifying carbon stocks in shifting cultivation landscapes under divergent management scenarios relevant to REDD+
(in press, Ecological Applications)
The datasets are:
"Borah-et-al_carbon-data.csv" – carbon stocks data from three habitat types, i.e. farmland, secondary forests and old-growth forest across three landscapes (Kiphire, Phek and Kohima) in Nagaland, Northeast India.
"Borah-et-al_meta-data.csv" - metadata for the carbon stocks dataset with information for all the variables.
Full details of the data collection methods are given in the paper.