Evaluating multiple bioclimatic risks using Bayesian belief network to support urban tree management under climate change

《Evaluating multiple bioclimatic risks using Bayesian belief network to support urban tree management under climate change》

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作者: Yoonjung Kim;Chan Park;Kyung Ah Koo;Myung Kyoon Lee;Dong Kun Lee

来源: URBAN FORESTRY & URBAN GREENING,Vol.43,Issue1,Article 126354

语言: 英文

关键字: Bayesian belief network;Bayesian network;Climate change vulnerability assessment;Seasonal climate impact;Multiple bioclimatic risk;Urban tree management

作者单位: Division of Natural Resources Conservation, Korea Environment Institute (KEI), Graduate School of Environmental Studies, Seoul National University, South Korea;Department of Landscape Architecture, University of Seoul, South Korea;Division of Natural Resources Conservation, Korea Environment Institute (KEI), South Korea;UNEP DTU Partnership, Department of Technology, Management, and Economics, Technical University of Denmark, Denmark;Department of Landscape Architecture and Rural System Engineering, CALS, Seoul National University, South Korea;Division of Natural Resources Conservation, Korea Environment Institute (KEI), Graduate School of Environmental Studies, Seoul National University, South Korea;Department of Landscape Architecture, University of Seoul, South Korea;Division of Natural Resources Conservation, Korea Environment Institute (KEI), South Korea;UNEP DTU Partnership, Department of Technology, Management, and Economics, Technical University of Denmark, Denmark;Department of Landscape Architecture and Rural System Engineering, CALS, Seoul National University, South Korea

摘要: Understanding the vulnerability of trees affected by climate change is a key requirement for identifying management priorities and suggesting suitable urban tree species. To measure such vulnerability under changing climate conditions, indicators of bioclimatic characteristics should be identified and evaluated using past and current geographic growth ranges. However, although climate events often occur simultaneously (e.g., frost and drought), and management issues in this regard need to be clarified, it is challenging to consider multiple risks in a climate change vulnerability assessment. Therefore, we applied a Bayesian belief network (BBN) to interlink the bioclimatic requirements of species and seasonal climate risk of the study site to comprehensively assess the multiple risks. In particular, we integrated expert knowledge and supporting evidences from relevant studies to construct the BBN. The developed BBN revealed vulnerability to frost considering occurrences of cascading and co-occurring climatic risks such as warmer winters and droughts throughout the phenological cycle. As a case study, two tree species, Zelkova serrata and Camellia japonica from Seoul, Republic of Korea, were evaluated. Among the climatic risks considered, the BBN revealed that shortened frost hardening and the occurrence of spring frost right after an extraordinarily warm winter would mainly affect vulnerability to frost of the two species. In particular, C. japonica had high vulnerability due to its high susceptibility to coldness, though growing temperature will be perfectly satisfied under climate change. Generally, this study provides insights to consider multiple bioclimatic risks for guiding urban tree management under climate change.