18 April 2017 - 20 April 2017
IIASA Wodak Room
The RESTORE+ “Addressing Landscape Restoration on Degraded Land in Indonesia and Brazil” project helps to consider sustainable restoration options on tropical degraded land in Indonesia, Brazil and the Congo Basin in cross-sectoral forestry policies.
Forest ecosystems in tropical countries provide important services like water storage or erosion protection. The degradation and non-sustainable management of forests in Indonesia and Brazil cause damages both on global and local level.
New activities are needed to restore degraded land in order to protect our biological diversity, mitigate climate change and secure human well-being. How can we enable the sustainable use of degraded land? Which tools help us to improve information on degraded land? How can we support decision making on sustainable land use management in order to treat degraded land appropriately?
RESTORE+ brings together 10 international partners to develop tools and recommendations for decision-making and capacity building in Indonesia, Brazil and beyond on such issues. The project models different scenarios for landscape restoration and follows an innovative approach: It uses updated land use datasets, citizen-sourced land-use information and identifies bioenergy perspectives of degraded land. These multi-objective scenarios help decision and policy makers to restore and implement sustainable food/energy/forest production options over tropical degraded land.
For more information please see the "Additional Material" section on the right side.
Last edited: 30 August 2017
Kraxner F, Schepaschenko D, Fuss S, Lunnan A, Kindermann G, Aoki K, Dürauer M, Shvidenko A, et al. (2017). Mapping certified forests for sustainable management - A global tool for information improvement through participatory and collaborative mapping. Forest Policy and Economics 83: 10-18. DOI:10.1016/j.forpol.2017.04.014.
Khabarov N, Krasovskii A, Obersteiner M, Swart R, Dosio A, San-Miguel-Ayanz J, Durrant T, Camia A, et al. (2017). Adaptation to Increasing Risk of Forest Fires. In: IIASA Institutional Evaluation 2017, 27 February-1 March 2017, IIASA, Laxenburg, Austria.
Chandler M, See L, Andrianandrasana H, Becker D, Berardi A, Bodmer R, Constantino PDAL, Cousins J, et al. (2017). The value and opportunities of community-and citizen-based approaches to tropical forest biodiversity monitoring. In: A Sourcebook of Methods and Procedures for Monitoring Essential Biodiversity Variables in Tropical Forests with Remote Sensing. Eds. Gill, M., Jongman, R., Luque, S., Mora, B., Paganini, M. & Szantoi, Z., pp. 223-281 Wageningen University, The Netherlands: GOFC - GOLD Land Cover Project Office. ISSN: 2542-6729.
Crespo Cuaresma J, Danylo O, Fritz S, McCallum I, Obersteiner M, See L, & Walsh B (2017). Economic Development and Forest Cover: Evidence from Satellite Data. Scientific Reports 7: art.no.40678. DOI:10.1038/srep40678.
Folberth C, Elliott J, Müller C, Balkovic J, Chryssanthacopoulos J, Izaurralde RC, Jones CD, Khabarov N, et al. (2016). Uncertainties in global crop model frameworks: effects of cultivar distribution, crop management and soil handling on crop yield estimates. Biogeosciences Discussions: 1-30. DOI:10.5194/bg-2016-527. (In Press)
Hasegawa T, Fujimori S, Boer R, Immanuel G, & Masui T (2016). Land-Based Mitigation Strategies under the Mid-Term Carbon Reduction Targets in Indonesia. Sustainability 8 (12): e1283. DOI:10.3390/su8121283.
Camara G, Soterroni A, Ramos F, Carvalho A, Andrade P, Souza RS, Mosnier A, Mant R, et al. (2016). Modelling Land Use Change in Brazil:2000-2050 (Dataset). DOI:10.22022/REDD/09-2016.13782.
Mosnier A, Mant R, Pirker J, Bodin P, Bokelo D, Tonga P, Havlik P, Bocqueho G, et al. (2015). Modelling Land Use Changes in the Democratic Republic of Congo 2000-2030 . A report by the REDD-PAC project. UNEP-WCMC, IIASA, COMIFAC
Kraxner F & Nordstrom E-M (2015). Bioenergy futures: a global outlook on the implications of land use for forest-based feedstock production. In: the Future Use of Nordic Forests. A Global Perspective. Eds. Lindahl, E., Westholm, K., Lindahl, B. & Kraxner, F., pp. 63-81 Cham, Switzerland: Springer International Publishing. ISBN 978-3-319-14217-310.1007/978-3-319-14218-0_5.
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