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1 to 10 of 59 Results
SWAMP Dataset-Vegetation-Demak-2019
Dec 20, 2021 - Database of tropical wetlands carbon survey: Vegetation
Ardhani, T.S.P.; Murdiyarso, D.; Kusmana, C., 2021, "SWAMP Dataset-Vegetation-Demak-2019", https://doi.org/10.17528/CIFOR/DATA.00283, Center for International Forestry Research (CIFOR), V1
The dataset of vegetation collected from tropical peat swamp forests in Demak, Indonesia.
SWAMP Data-Trees-Berahankulon-2019.xlsx
MS Excel Spreadsheet - 0 B - MD5: 84fc9df6283c40b773ed57bdce3239d2
SWAMP Data-Trees-Timbulsloko-2019.xlsx
MS Excel Spreadsheet - 0 B - MD5: 04abaf131e76dc0a6fe827ff1751c009
SWAMP Dataset-Soil-Demak-2019
Dec 20, 2021 - Database of tropical wetlands carbon survey: Soil
Ardhani, T.S.P.; Murdiyarso, D.; Kusmana, C, 2021, "SWAMP Dataset-Soil-Demak-2019", https://doi.org/10.17528/CIFOR/DATA.00282, Center for International Forestry Research (CIFOR), V1
The dataset of Soil collected from tropical mangrove forests in Demak, Indonesia.
SWAMP Data-Soil carbon-Berahan kulon-2019.xlsx
MS Excel Spreadsheet - 0 B - MD5: 1c09c86f8622ce7bbe5c166134b8a180
SWAMP Data-Soil carbon-Timbulsloko-2019.xlsx
MS Excel Spreadsheet - 0 B - MD5: 0e1b1431b2a3f30458457b775e0ec05e
REDDFIT v2.0
Nov 19, 2021
Atmadja, S.; Selviana, V., 2021, "REDDFIT v2.0", https://doi.org/10.17528/CIFOR/DATA.00281, Center for International Forestry Research (CIFOR), V1
The dataset (REDDFIT V.2) was developed in 2021 by tagging financial transfers related to REDD+ as documented in the OECD-CRS, resulting in a set of new variables. Results based on the predecessor of this database (REDDFIT V.1) is available from: “Study on EU financing of REDD+ r...
REDDFITv2.0_20211116_upload.xlsx
Nov 19, 2021 - REDDFIT v2.0
MS Excel Spreadsheet - 13.4 MB - MD5: d29d1e1af5db0903bcf3c7e2f6e4a8ee
Dataset from a systematic literature review on “Planning for successful forest landscape restoration: a preliminary analysis on evidence gaps”
Nov 10, 2021
Atmadja, S.; Satwika, A.; Guariguata, M., 2021, "Dataset from a systematic literature review on “Planning for successful forest landscape restoration: a preliminary analysis on evidence gaps”", https://doi.org/10.17528/CIFOR/DATA.00280, Center for International Forestry Research (CIFOR), V1
Our analysis aims to describe how much scientific evidence is available to support forest landscape restoration (FLR) practice, focusing on key success factors listed in the Restoration Diagnostic (Hanson et al. 2015, https://www.wri.org/research/restoration-diagnostic). We defin...
Dataset_FLR systematic review_20211029.xlsx
MS Excel Spreadsheet - 0 B - MD5: 6e8405c6b33b7e9e178588847238f595
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