氣候變遷下臺灣包種春茶累積溫量的適採期地圖化

Abstract

臺灣茶產業的韌性議題在面對氣候變遷的洪流是刻不容緩，因此亟需「最適茶採收等時線圖」的建立。本研究採取歷史悠久並廣受運用的生長度日積溫模型，作為茶採收時間的視覺性評估之方法。在獲得了茶業改良場的茶葉相關紀錄與臺灣氣候變遷推估資訊平台的氣溫資料後，參考日本櫻花前線預測的資料視覺化策略，獲得「最適茶採收等時線圖」的結果。氣候變遷的氣溫上升效應對於茶採收產生了效期縮短的影響。最後，本研究提供了一種以茶園管理為目標的視覺化途徑；倘若後續的資料搜集、記錄和積溫模型優化可被妥善執行，本研究途徑將可被應用、推廣至常民生活之中。

Climate change is adversely affecting the resilience of the tea industry, which is why the establishment of Optimal Tea HArvest Isochrone Maps (OTHAIMs) is needed. In this study, we categorize tea growth into three dimensions: yield, quality, and timing. And we provide insights into the trend of tea harvest in Taiwan in the future when the scenario of business-as-usual is to be expected. The profound and well-cited Growing Degree-Day (GDD) model is utilized in this study to evaluate the visualization of the timing of tea in Taiwan. Using data from the Tea Research and Extension Station (TRES) and the Taiwan Climate Change Projection and Information Platform (TCCIP), the outcomes of OTHAIMs are acquired with pruning date geneses in analogy with Sakura Zensen, cherry blossom blooming frontline maps, from Japan. Results indicate that the warming of climate change thus results in the shortened durations of tea harvest. In conclusion, this study provides a visualization approach for the government and the academia for further investigation of tea harvest and management, while extensive records of tea data and optimization of GDD model afterward may help this approach be put into application.