An Analysis on the Long-term Management of Urban Tree Carbon Reduction 'Forestry Inventory Analysis' towards Climate Change Adaptation

Abstract

Background and objective: Climate change and its impact on carbon storage in urban trees is a topic that has received increasing attention. Related studies focusing on data collection and analysis-based programs, such as the Forestry Inventory Analysis (FIA) programme in the US, have presented remarkable approaches to obtaining integrated analysis estimates and its management structure from a long-term perspective. This study explored the FIA programme in the context of long-term management in relation to tree carbon-related data collection and analysis.Methods: For the analysis, this study employed bibliometric methods (network using VOSviewer and coordinated analysis using NVivo) and an analytical framework. The case study is based on FIA-related driver changes of the keywords 'carbon' and 'tree' as well as the FIA management structure, using place-keeping theory as an integrated analytical framework and as the approach to long-term management.Results: Analysing FIA shows long-term management which has run since 2010, revealing key issues and significant terms in six dimensions of place-keeping analytical frameworks: public-private partnership-based data collection and political support in policy, central and local government-integrated fundraising from income generation, active governance-formed community activities in governance, alliance-structured networks in partnerships, integrated or unified estimated structures in evaluation, and maintenance. The case analysis reveals the necessity of a long-term management approach that incorporates a carbon storage estimate-focused policy, integrated income-partnerships, expanded active governance, Private Public Community Partnership (PPCP) multi-sector partnerships, and data platform settings.Conclusion: Newly emerging urban tree management structures should be reflected first on establishing an integrated carbon neutrality-based estimating system and secondly, on building long-term management approaches to the system. This will ultimately allow for climate change adaptation to approach carbon neutrality.