Analyzing REDD+ as an experiment of transformative climate governance: Insights from Indonesia

Korhonen-Kurki, Kaisa; Brockhaus, Maria; Muharrom, E.; Juhola, Sirkku; Moeliono, M.; Maharani, Cynthia; Dwisatrio, B.

doi:10.1016/j.envsci.2017.03.014

Cited by 29 publications

(26 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In developing countries, both deforestation and forest degradation are the largest sources of greenhouse gas emissions which accounts about 11-13% of all global CO 2 emissions during the last decade (Kaisa et al 2017). To overcome this problem, the United Nations Framework Convention on Climate Change (UNFCCC) designed a climate change mitigation action by reducing emissions from deforestation and forest degradation in its REDD + program (Eckert et al 2011).…”

Section: Background Of the Studymentioning

confidence: 99%

Effect of forest stand density on the estimation of above ground biomass/carbon stock using airborne and terrestrial LIDAR derived tree parameters in tropical rain forest, Malaysia

et al. 2019

View full text Add to dashboard Cite

Background: Forest stand density in tropical rainforests is crucial functional and structural variable of forest ecosystems in which above ground biomass can be derived. Currently, there is a growing demand for airborne and terrestrial LIDAR in measuring forest trees parameters for accurate assessment of forest biomass/carbon stock to meet the requirements of UN-REDD + program. Although several studies have been conducted on above ground biomass/ carbon stock in tropical rainforest using forest inventory parameters derived from airborne and terrestrial LIDAR, no research was conducted on how the estimation of above ground biomass/carbon stock using airborne and terrestrial LIDAR derived parameters is affected by forest stand density in a tropical rainforest. Therefore, this study aims to analyze and investigate the strength of the relationship between forest stand density and its above ground biomass estimated using airborne and terrestrial LIDAR derived trees parameters. Purposive sampling approach was adopted for the selection of the unit of analysis. Results are based on data collected from 32 sample plots measured and scanned in the field. Airborne LIDAR was used to derive upper canopy trees height, while terrestrial LIDAR was used to derive the height of lower canopy trees and DBH of all lower and upper canopy trees. The DBH measured in the field was used to compute forest stand density and to validate the DBH manually extracted from TLS point cloud data. The DBH manually derived from TLS point cloud data was used to estimate AGB of the sampled plots for both upper and lower canopy trees.Results: Descriptive statistics, linear regression and correlation analysis were used to answer the research questions of this study. Out of 1033 trees measured and scanned in the field, 855 trees (82.7%) were extracted from TLS point cloud data and 178 trees (17.3%) were missed due to occlusion. The Pearson correlation coefficient (r) between a total number of trees measured and scanned in the field and the total number of trees extracted from TLS point cloud data was 0.95. R 2 of 0.89 was found to explain the relationship between number of missed trees per plot against a number of trees measured in the field per plot. The strength of the effect of forest stand density on AGB is explained by R 2 which is 0.91. Conclusions:Based on the findings, forest stand density have significant effect on above ground biomass at 1% significance level. Since there is a strong relationship between forest stand density and AGB and the measurement of forest stand density from the ground is fast, forest stand density could be recommended as a proxy to estimate above ground biomass. © The Author(s) 2019. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creat iveco mmons .org/licen ses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative ...

show abstract

Section: Background Of the Studymentioning

confidence: 99%

Effect of forest stand density on the estimation of above ground biomass/carbon stock using airborne and terrestrial LIDAR derived tree parameters in tropical rain forest, Malaysia

et al. 2019

View full text Add to dashboard Cite

show abstract

“…REDD+ is a large scale governance experiment (Lederer, 2012), considered by some to be an experiment in transformative climate governance that leads to new perspectives by involving a diversity of actors and groups with different interests in policy implementation (Kaisa et al, 2017). Although REDD+ is not a panacea for climate change, the mechanism is considered a cost-effective approach for mitigation if compared to other alternatives (Angelsen & McNeill, 2012;Lederer, 2012;Phelps, Guerrero, Dalabajan, Young, & Webb, 2010).…”

Section: Redd+mentioning

confidence: 99%

Experimentalist governance in climate finance: the case of REDD+ in Brazil

2019

View full text Add to dashboard Cite

I am also grateful to FAPESP (Processes 2014/11950-2 and 2014/21877-0) and CAPES (Pró-Adm Project) for granting the scholarships and for the financial support to carry out this study. These scholarships allowed me to devote myself full-time to this research and academic activities at FEA/USP. Thank you to my parents, Dirce and Leonardo, for teaching me the value of hard work, honesty, and for always supporting me in everything that was possible, despite the difficulties.I am very proud of everything they have done for me. Thank you for all your encouragement! And last but by no means least, thank you to Daniel, the father of my two little boys and my life partner, who was the most enthusiastic person during my PhD journey. He has always believed in my ability, often more than myself, and always gave me full support and encouragement. He was also a major contributor to this study by several times reviewing my research model, making suggestions, reading and editing. Thank you! ABSTRACT Pinsky, V. C. (2017). Experimentalist governance in climate finance: the case of REDD+ in Brazil (PhD thesis). Faculdade de Economia, Administração e Contabilidade. Universidade de São Paulo, São Paulo.Climate change is a daunting problem that results in actions-interactions from a number of actors in complex global systems, which require multi-level governance and a myriad of national policies. Academics and policy makers alike have been grappling with how to devise effective strategies on the international coordination of climate change policies. It is challenging because climate change problems involve actors with different positions, interests and motivation to cooperate due to the risks involved, the uncertainty and the high costs of adaptation and mitigation. Deforestation is the second largest source of GHG emissions. Success in this area can have a large impact on mitigation. This study focuses on the case of REDD+, a large scale governance experiment in climate finance and a promising costeffective mitigation mechanism to motivate developing countries to implement policy approaches to reducing emissions from deforestation and forest degradation. REDD+ is considered a breakthrough mechanism in international cooperation under the UNFCCC regime as it was designed to be performance-based. Brazil is the world's largest recipient and has the most important REDD+ experiment -the Amazon Fund. The lack of developed theory in this domain led to the use of grounded theory methodology to understand the REDD+ governance process in Brazil. The 'REDD+ Governance Theoretical Framework' emerged from the data. It is a substantive theory formed by seven major categories (Governance, Strategy, Financing, Implementation, Participation of stakeholders, Joint action and Collective learning) that are related to each other and explain the phenomenon. This study suggests that the lack of institutional arrangements to stimulate collective learning and incorporate lessons learned from the ground experience has been a major constraint on improving its g...

show abstract

“…(UNFCCC, 2015, p. 8, para. 55) At the international level, several bilateral and multilateral agreements such as the REDD+ is a large scale governance experiment (Lederer, 2012), considered by some to be an experiment in transformative climate governance that leads to new perspectives by involving a diversity of actors and groups with different interests in policy implementation (Kaisa et al, 2017). Although REDD+ is not a panacea for climate change, the mechanism is considered a cost-effective approach for mitigation if compared to other alternatives (Angelsen & McNeill, 2012;Lederer, 2012;Phelps, Guerrero, Dalabajan, Young, & Webb, 2010).…”

Section: Redd+mentioning

confidence: 99%

Experimentalist governance in climate finance: the case of REDD+ in Brazil

Pinsky¹

View full text Add to dashboard Cite

show abstract

Analyzing REDD+ as an experiment of transformative climate governance: Insights from Indonesia

Cited by 29 publications

References 32 publications

Effect of forest stand density on the estimation of above ground biomass/carbon stock using airborne and terrestrial LIDAR derived tree parameters in tropical rain forest, Malaysia

Effect of forest stand density on the estimation of above ground biomass/carbon stock using airborne and terrestrial LIDAR derived tree parameters in tropical rain forest, Malaysia

Experimentalist governance in climate finance: the case of REDD+ in Brazil

Experimentalist governance in climate finance: the case of REDD+ in Brazil

Contact Info

Product

Resources

About