Report for the German Agency for Technical Cooperation (GTZ) - UMS

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Tab. 1: Growing stock, biomass and carbon in Indonesia and Malaysia (FAO 2007) Per hectare (m 3 /ha) Growing stock Biomass Total (million m³) Commer cial (% of total) 5 Per hectare (tonnes/ ha) Total (million tonnes) Per hectare (tonnes/ ha) Carbon in biomass Total (million tonnes) Indonesia 58.9 5 216 – 133.3 11 793 67 5 897 Malaysia 250.9 5 242 – 336.0 7 020 168 3 510 Deforestation, particularly in tropical developing countries, is estimated by the UN to cause up to 20 per cent of global GHG emissions. Reducing deforestation and forest degradation is potentially a highly cost-effective way of reducing greenhouse gas emissions. The United Nations Climate Change Conference in Bali in December 2007 (COP: December 13th Decision on REDD) indicated support for demonstration activities to reduce emissions from deforestation and degradation (REDD) in developing countries, with a view to possible incorporation of REDD into a future international climate change agreement (Ausaid). The discussions on reducing emissions from deforestation and degradation as a greenhouse gas (GHG) mitigation strategy are ongoing under the United Nations Framework Convention on Climate Change (UNFCCC). In the light of these considerations, it is necessary for the countries to be able to determine the relative likelihood of deforestation and perform a first order estimation of the carbon stock associated with various protection scenarios. The principles are accepted but now negotiations focus on being more precise about the methodological and policy issues. Most of the protective roles of the forests are difficult to place a dollar value but the carbon management can be valued. Thus the aim of the efforts on REDD is to allow developing countries to receive payments for the value their forests provide. Thus, it supports countries with low and stable deforestation rates. For this reason a good estimation and monitoring of carbon stocks is necessary. That means remote sensing assessments and ground measurements according to the IPCC Guidelines on methodologies as guide. Forest degradation is more difficult than deforestation but knowing the causes of degradation may help in estimating of associated losses of carbon. To achieve that goal capacity building is required at different levels as well as pilot projects. Deforestation is still high in Kalimantan because there are no screening tools for the conversion of forest (TNC tries to achieve that). Kalimantan is beside Papua the only area still interesting for timber logging. 2.5 million m³ wood is allocated for annual allowable cutting in East Kalimantan for 2009, which is the highest amount in Indonesia (Alfan Subekti TNC). According to the GTZ-Indonesia regarding REDD East Kalimantan is the leader within the Kalimantan districts, but there is still a lot of knowledge, data, etc. missing. For example the rate of deforestation in detail for different forest types is crucial. To make the next move it is essential to know how to share the benefits of REDD. For that, good governance is important as well as local and traditional knowledge. How to design and implement a mechanism to achieve REDD is proving exceptionally complex and controversial, inspiring uncertainty that it will generate real benefits for the global climate, forests and forest communities (Earthtrends 2008). Against the background of this context the partners of the scheduled project see the need of the development and Implementation of an integrated Forest Information & Inventory System for the assessment and evaluation of sustainable management strategies, mitigating greenhouse gas emissions and safeguarding environmental goods and services of natural and managed forest ecosystems in Borneo under climate and land use change conditions under various aspects.
4.1. Proposal The four partners should be involved in the project in accordance with their respective main research. Each partner in the project potentially should have a main focus on its own. CIFOR could be the “REDD/Carbon Stock-Group”, Hamburg the “Modelling/GIS-Group”, SITF the “Remote Sensing-Group”, Mulawarman another “Carbon-Group” even though each partner deals with more or less every single task. The local partners in Sabah and Kalimantan could possibly take over tasks of the field work. The organization will probably be in the hands of CIFOR for the most part because the center is the applicant body (see Fig. 3 and chapter 6.1). During the mission of the consultant there was no other working group of CIFOR looking for the BEAF-grant. Possibly Malaysia put not as much interest on the issue of REDD as Indonesia do. Fig. 3: Scheme of the procedure It will be an important challenge to combine the different skills of the partners for an effective workflow. The project has to be positioned within Priority Area 4a of the GTZ/BMZ- Guidelines: “Integrated land, water and forest management at landscape level” even if climate change does not belong to the main CGIAR-issues or priorities. Thus climate modeling seems to be an outlier in the master plan therefore it has to be clarified how to link this topic to the structure of the project. CIFOR is already involved in a BEAF-Project with the University of Göttingen (Indonesia, Vietnam). The conception of that project leads to a lack of effective co-operation due to communication difficulties what should be avoided in our project. Some members suggested that our joint project could be an “umbrella” under which other subprojects could be summarized. For example there is also the possibility to look for grants at the Asia-Pacific Network (APN) or within internal/own budget. Furthermore the project could possibly contribute to other projects as the NCAS-Project by BAPLAN and above all to the project of the Kreditanstalt für Wiederaufbau KfW. 6
Page 1 and 2: School of International Tropical Fo
Page 3 and 4: Table of contents 1. Summary 2. Bac
Page 5 and 6: The main activities of the project
Page 7: Fig. 1: Extent of deforestation in
Page 11 and 12: Fig. 4: Fields of activities 6.1. C
Page 13 and 14: to be found in the forest inventory
Page 15 and 16: staff). They try to develop nationa
Page 17 and 18: and Carbon Management in Peat Fores
Page 19 and 20: Other REDD programs • World Bank
Page 21 and 22: Fig. 7: CO2-tower in Pontianak/West
Page 23 and 24: The Malaysian Meteorological Depart
Page 25 and 26: Tab. 3: List of available data for
Page 27 and 28: Center for International Forestry R
Page 29 and 30: Houghton, R.A., & J.L. Hackler (199
Page 31 and 32: MGFEP (2007): Malaysian-German Fore
Page 33 and 34: Revilla, J.A.V. & L. Djwahui (1993)
Page 35 and 36: Wertz-Kanounnikoff, S. & M. Kongpha
Page 37 and 38: using our findings which could give
Page 39 and 40: • BAPLAN uses Landsat images (7 E
Page 41 and 42: • Projects of LAPAN: o Co-operati
Page 43 and 44: Minutes of the Meeting with Members
Page 45 and 46: 10.2.7. Alfan Subekti, TNC Minutes
Page 47 and 48: • Remote sensing, meteorological
Page 49 and 50: Yuliani, Linda • Developing simpl
Page 51 and 52: 3. Assessing the potential of commu
Page 53 and 54: Output of step two Private sector a
Page 55 and 56: Figure 1. Land cover map of Delta M
Page 57 and 58: 2. Map of forest rehabilitation pri
Page 59 and 60:
Sources available • Spatial data
Page 61 and 62:
Saturday, 10 th of January 09:30 Vi
Page 63:
Fig. 12: Malaysian Soil Series clas
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Report for the German Agency for Technical Cooperation (GTZ) - UMS

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