Impacts of Reducing Emissions from Deforestation and Forest Degradation and Enhancing Carbon Stocks


The overall objective will be to obtain an improved understanding of how the implementation of REDD+ mechanisms may: 1. reduce emissions of GHG and maintain or enhance existing stocks of carbon in vegetation and soil of various land cover types, 2. impact the livelihoods and welfare of local farming communities and particularly, the differences between communities, 3. impact biodiversity conservation, especially the 'plus' in REDD+, which could fall short on its potential to protect biodiversity, 4. provide a realistic framework for monitoring, reporting and verification of the mechanism, including the importance of governance and accountability at multiple levels.


Principal Investigators
Hostert, Patrick Prof. Dr. (Details) (Geomatics)

Duration of Project
Start date: 01/2011
End date: 12/2014

Research Areas
Geodesy, Photogrammetry, Remote Sensing, Geoinformatics, Cartography

Publications
Grogan, K., Pflugmacher, D., Hostert, P., Verbesselt, J., Fensholt, R., 2016. Mapping clearances in tropical dry forests using breakpoints, trend, and seasonal components from modis time series: Does forest type matter? Remote Sens. 8. https://doi.org/10.3390/rs8080657
Grogan, K., Pflugmacher, D., Hostert, P., Kennedy, R., Fensholt, R., 2015. Cross-border forest disturbance and the role of natural rubber in mainland Southeast Asia using annual Landsat time series. Remote Sens. Environ. 169. https://doi.org/10.1016/j.rse.2015.03.001
Grogan, K., Pflugmacher, D., Hostert, P., Mertz, O., Fensholt, R., 2019. Unravelling the link between global rubber price and tropical deforestation in Cambodia. Nat. Plants 5, 47–53. https://doi.org/10.1038/s41477-018-0325-4
Hostert, P., Griffiths, P., Van Der Linden, S., Pflugmacher, D., 2015. Time series analyses in a new era of optical satellite data, Remote Sensing and Digital Image Processing. https://doi.org/10.1007/978-3-319-15967-6_2
Kuemmerle T, Erb K-H, Meyfroidt P, Müller D, Verburg PH, Estel S, Haberl H, Hostert P, Jepsen, MR, Kastner T, Levers C, Lindner M, Plutzar C, Verkerk PJ, van der Zanden EH, Reenberg A. (2013). Challenges and opportunities in mapping land use intensity globally. Current Opinion in Environmental Sustainability 5(5): 484-493.
Mertz, O., Grogan, K., Pflugmacher, D., Lestrelin, G., Castella, J.-C., Vongvisouk, T., Hett, C., Fensholt, R., Sun, Z., Berry, N., Müller, D., 2018. Uncertainty in establishing forest reference levels and predicting future forest-based carbon stocks for REDD+. J. Land Use Sci. 13. https://doi.org/10.1080/1747423X.2017.1410242
Mertz, O., Müller, D., Sikor, T., Hett, C., Heinimann, A., Castella, J.-C., Lestrelin, G., Ryan, C.M., Reay, D.S., Schmidt-Vogt, D., Danielsen, F., Theilade, I., Noordwijk, M. van, Verchot, L. V., Burgess, N.D., Berry, N.J., Pham, T.T., Messerli, P., Xu, J., Fensholt, R., Hostert, P., Pflugmacher, D., Bruun, T.B., Neergaard, A. de, Dons, K., Dewi, S., Rutishauser, E., Sun, and Z., 2012. The forgotten D: challenges of addressing forest degradation in complex mosaic landscapes under REDD+. Geogr. Tidsskr. J. Geogr. https://doi.org/10.1080/00167223.2012.709678
Müller, D., Sun, Z., Vongvisouk, T., Pflugmacher, D., Mu, D., Xu, J., Mertz, O., 2014. Regime shifts limit the predictability of land-system change. Glob. Environ. Chang. 28, 75–83. https://doi.org/10.1016/j.gloenvcha.2014.06.003

Last updated on 2020-21-03 at 23:10