RESTORE+ aims to explore restoration and utilization options of tropical degraded and/or marginal land in order to ease pressure on deforestation as well as mitigating climate change. The project aspires to generate innovative methodology that combines multi-objective modelling (utilizing more than five in-house and newly developed models) with advanced big data and crowd-empowered remote sensing analyses.

Brazil and Indonesia face tremendous pressure to prioritize sustainable land use. In attempt to address this pressure, Indonesia is prioritizing agricultural expansion on degraded/marginal land. Such goal is ambitious as it has to tackle multiple objectives including food/energy security, sustainable exploration and minimizing land use conflicts. Meanwhile, Brazil has set deforestation reduction targets to 2020 and the new Forest Code includes forest restoration targets. Moreover, multinational companies with activities reaching over both countries have pledged zero deforestation supply chains. These targets are challenged with current situation in both countries. Indonesia lacks the necessary tools and high quality data to identify degraded and marginal lands based on agreed definitions. In Brazil, detailed assessment of the forest restoration needs on previously illegally deforested area in the Amazon has not yet been possible due to the lack of registration of rural properties.

The project aims to provide decision/policy making actors in the tropical basins with lasting capacity, technical recommendations and enhanced datasets that enable sustainable addressing of degraded and/or marginal lands. Such capacity will be built upon comprehensive assessments of applying different definitions of degraded/marginal land and possible scenarios of restoration or utilization. Appropriate utilization of degraded/marginal land will ease pressure on deforestation and forest degradation which will positively impact mitigation of greenhouse gas emissions. Moreover, the project will conduct sustainability analyses to help ensure that degraded/marginal land can be treated appropriately thereby balancing economic development with long-term impacts of increases in carbon stock and biodiversity preservation and restoration.

In Indonesia, IIASA’s global land use model (GLOBIOM) will be downscaled to the national level to analyze dynamics of varying land use policies that include an array of degraded/marginal land utilization scenario. Continuing efforts from the previous REDD-PAC project, downscaled GLOBIOM model in Brazil will be utilized to further analyze the implementation scenarios of Brazil’s new Forest Code and land cadaster system.

ESM citizen-science based tools and analyses (Geo-Wiki) will also be deployed to map potential degraded/marginal land in high resolution. Utilizing crowd-empowered data gathering methods, information that is gathered can go beyond bio-physical properties, but also social issues that are normally attributed to degraded/marginal land.

Finally, the restoration and utilization cycle will look specifically into bioenergy commodities to close the full cycle of land-based resource utilization. The BeWhere model will be used to assess various supply chain implication of varying policy scenarios to utilize degraded/marginal land for bioenergy. Such analysis will merge land use and energy sector perspective for landscape energy planning focusing particularly in Indonesia.

27 June 2017

Partners:

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. 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, P.D.A.L., 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. 10.1038/srep40678.

Folberth, C. , Elliott, J., Müller, C., Balkovic, J. , Chryssanthacopoulos, J., Izaurralde, R.C., Jones, C.D., 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. 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. 10.3390/su8121283.

Camara, G., Soterroni, A., Ramos, F., Carvalho, A., Andrade, P., Souza, R.S., Mosnier, A., Mant, R., et al. (2016). Modelling Land Use Change in Brazil:2000-2050 (Dataset). 10.22022/REDD/09-2016.13782.

Camara, G., Soterroni, A., Ramos, F., Carvalho, A., Andrade, P., Souza, R.S., Mosnier, A., Mant, R., et al. (2015). Modelling Land Use Change in Brazil: 2000–2050. NPE, IPEA, IIASA, UNEP-WCMC

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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Last edited: 21 February 2019

Florian Kraxner

Research Group Leader

Agriculture Forestry and Ecosystem Services

T +43(0) 2236 807 233

Ping Yowargana

Research Scholar

Agriculture Forestry and Ecosystem Services

T +43(0) 2236 807 462

Supporting national climate policy in Brazil and beyond

Land use foresight modeling for Indonesia, Brazil and the Congo Basin

RESTORE+ project website

2019 RESTORE+ Consortium Meeting - Progress and next steps

29 Apr 2019 - 30 Apr 2019

RESTORE+: Policy Engagement Meeting with Indonesia

19 Feb 2019 - 20 Feb 2019

Bioenergy Conference - BBC Brazil 2018

10 Apr 2018 - 12 Apr 2018

RESTORE+ participates in the 2017 Bonn Challenge Meeting

09 May 2017 - 10 May 2017

Kickoff Workshop of the RESTORE+Project

18 Apr 2017 - 20 Apr 2017

Find more information on the RESTORE+ Consultation Meeting in Indonesia in November 2017, the Launching the RESTORE+ Project in Jakarta in June 2017 and other events.

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