Work

Remote assessment of extracted volumes and greenhouse gases from tropical timber harvest

Year: 2018
Type: article
Abstract: Timber harvest from tropical regions generates seven billion dollars annually in exports and is estimated to occur across 20% of the area of remaining tropical forests. This timber harvesting is estimated to account for more than one in eight of all greenhouse gas emissions from tropical forests. Yet there is currently no means to independently estimate extracted volumes and associated greenhouse gas emissions. In this study, we built upon an earlier paper that used an automated algorithm applied to LiDAR to accurately identify area of timber harvest impact in the categories of roads/decks, skid trails and gaps. This algorithm was applied to 2014 harvest areas in four concessions in Kalimantan, Indonesia. In two of these concessions, total harvested timber volumes and greenhouse gas emissions were measured and calculated in the field using data from 188 harvested and extracted trees. In order to relate remote sensing data with the estimated extracted volumes, we calculated factors that linked extracted timber volumes with greenhouse gas emissions, and applied three different regression equations. The parameters of the most accurate equation were the areas of roads, skid trails and gaps, explaining 87% of the variation in the data. For situations where rivers are used in place of roads for extracting timber and for instances of non-mechanized, often illegal logging, a second equation was created in which only skid trail and gap attribute data were used, and in this equation 86% of the variation was accounted. The final equation, intended for use in scenarios where LiDAR data are not available but moderate resolution imagery could be used, associated length of roads only with extracted volumes. In this case, 78% of the variation was explained. Application of the first equation permitted estimation of extracted volumes and associated greenhouse gas emissions from two additional logging concessions. We discuss the application of these equations to areas that have been identified as illegal logging concessions, and propose that these may be applied to larger regions across the country. These equations offer a way to estimate volumes of timber extraction when no ground data is available, and to calculate greenhouse gas emissions associated with extracted volumes, providing a simple methodology useful across forested tropical countries.
Language: English
Open Access status: gold
Estimated APC paid: $3,045
Award: PARTIES TO THE UNITED NATIONS FRAMEWORK CONVENTION ON CLIMATE CHANGE (UNFCCC) HAVE BEEN REQUESTED TO ESTABLISH ROBUST AND TRANSPARENT NATIONAL FOREST MONITORING SYSTEMS (NFMS) THAT USE A COMBINATION OF REMOTE SENSING AND GROUND-BASED FOREST CARBON INVENTORY APPROACHES TO ESTIMATE ANTHROPOGENIC FOREST-RELATED GREENHOUSE GAS EMISSIONS AND REMOVALS REDUCING UNCERTAINTIES AS FAR AS POSSIBLE. A COUNTRY S NFMS SHOULD ALSO BE USED FOR DATA COLLECTION TO INFORM THE ASSESSMENT OF NATIONAL OR SUBNATIONALFOREST REFERENCE EMISSION LEVELS AND/OR FOREST REFERENCE LEVELS (RELS/RLS). IN THIS WAY THE NFMS FORMS THE LINK BETWEEN HISTORICAL ASSESSMENTS AND CURRENT/FUTURE ASSESSMENTS ENABLING CONSISTENCY IN THE DATA AND INFORMATION TO SUPPORT THE IMPLEMENTATION OF REDD+ ACTIVITIES IN COUNTRIES. THE CREATION OF A RELIABLE TRANSPARENT AND COMPREHENSIVE NFMS IS CURRENTLY LIMITED BY A DEARTH OF RELEVANT DATA THAT ARE ACCURATE LOW-COST AND SPATIALLY RESOLVED AT SUBNATIONAL SCALES. WE PROPOSE TO DEVELOP EVALUATE AND VALIDATE SEVERAL CRITICAL COMPONENTS OF A NFMS IN KALIMANTAN INDONESIA FOCUSING ON THE USEOF LIDAR AND RADAR IMAGERY FOR IMPROVED CARBON STOCK AND FOREST DEGRADATION INFORMATION. OUR GOAL WILL BE TO EVALUATE SENSOR AND PLATFORM TRADEOFFS SYSTEMATICALLY AGAINST IN SITU INVESTMENTS AS WELL AS PROVIDE DETAILED TRACKING AND CHARACTERIZATION OF UNCERTAINTY IN A COST-BENEFIT FRAMEWORK. KALIMANTAN IS AN IDEAL AREA TO EVALUATE THE USE OF REMOTE SENSING METHODS BECAUSE MEASURING FORESTCARBON STOCKS AND THEIR HUMAN CAUSED CHANGES WITH A HIGH DEGREE OF CERTAINTY IN AREAS OF DENSE TROPICAL FORESTS HAS PROVEN TO BE DIFFICULT. WHILE THE PROPOSED NFMS COMPONENTS WILL BE DEVELOPED AT THE SUBNATIONAL SCALE FOR KALIMANTAN WE WILL TARGET THESE METHODS FOR APPLICABILITY ACROSS BROADER GEOGRAPHIES AND FOR IMPLEMENTATION AT VARIOUS SCALES. THIS PROPOSED RESEARCH WILL ADVANCE THE STATE OF THE ART OF MEASURING REPORTING AND VERIFICATION (MRV) SYSTEM METHODOLOGIES IN WAYS THAT ARE BOTH TECHNICAL AND OPERATIONAL. FIRST BECAUSE A PRIMARY FOCUS OF CARBON MONITORING SYSTEMS ESPECIALLY IN DEVELOPING COUNTRIES IS ON COST-EFFECTIVENESS OUR ANALYSIS OF OPTIMAL INPUTS OF INFORMATION FROM VARIOUS SATELLITE AIRBORNE AND IN SITU MEASUREMENTS WILL PROVIDE VALUABLE PRACTICAL INFORMATION THAT COUNTRIES CAN USE TO CONSIDER THE TRADEOFFS. SECOND BECAUSE QUANTIFYING AND UNDERSTANDING UNCERTAINTY IS CRITICAL BOTH IN AN EARTH SCIENCE RESEARCH CONTEXT AND WITH REGARD TO PAYMENT FOR ECOSYSTEM SERVICES OUR DEVELOPMENT OF REUSABLE METHODS FOR TRACKING AND EVALUATING UNCERTAINTY WITHIN A CARBON MONITORING SYSTEM WILL PROVIDE A FRAMEWORK FOR STAKEHOLDERS AND RESEARCHERS TO UNDERSTAND AND MINIMIZE ERRORS ACROSS MRV COMPONENTS. THIRD BECAUSE CARBON MONITORING REQUIRES INTEGRATION OF ADVANCED TECHNOLOGIES WITH MULTIDISCIPLINARY SCIENTIFIC METHODS FROM FORESTRY ECOLOGY SOIL SCIENCE REMOTE SENSING AND BIOGEOCHEMISTRY OUR TEAM'S EXPERTISE IS PARTICULARLY WELL-CONSTRUCTED TO ADDRESS THESE COMPLEX SCIENTIFIC AND TECHNICAL ISSUES.
OpenAlex ID: W2801596172
FWCI: 0.744
Cites: 18
Cited by: 11
Related to: 10