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2021 Recipients
Lin, Meng-Hui, 2nd-year Doctoral student. Low Carbon Transition Pathway in Higher Education Institute.
Advisor: Dr. Ching-Pin Tung
ABSTRACT
More and more international higher education institutes (HEIs) declare carbon neutrality, net-zero carbon emission, or carbon reduction as their climate action goals. However, it lacks operational standards and methodology for HEIs to set up reasonable carbon reduction options and pathways for their carbon management. Most carbon management standards are designed for enterprises to encourage private parties to invest resources into climate actions, but HEIs have different functions from the industry. However, the main functions of HEIs are teaching and doing research which are also indispensable parts during low carbon transition pathways for the systematic issue, climate change. Thus, measuring the contribution from HEIs instead of asking each HEIs to reach net-zero carbon emission would be a potential solution for the HEIs that do not own enough resources to select lasted technology for energy saving or carbon removal, especially in Taiwan. Besides, it assumes HEIs would take positive actions on better teaching and research in climate change when the results could be considered a concrete contribution in this study. Therefore, the integrated carbon management system (ICMS) for HEIs developed in this study includes (1) carbon inventory standard, (2) low carbon transition pathway, and (3) impact assessment tools on teaching and researching works, with this analysis framework would be a helpful tool-set on low carbon infrastructure in the pathways.
Keywords: climate change, low carbon transition, carbon reduction, mitigation, net-zero
Lin, Szu-Ying, 2nd-year Master's student. Responses of Vegetation Productivity under the Change of Precipitation in Chi-Lan Montane Cloud Forest.
Advisor: Dr. Min-Hui Lo
Co-advisor: Dr. Jehn-Yih Juang
ABSTRACT
Annual rainfall larger than 2000mm yr-1 provide enough water supply in dry season in tropical areas. Canopy water, which mainly intercepted from precipitation, makes montane cloud forest form its own unique water cycle than tropical ones. Different types of water demand to vegetation between ChiLan (CL, montane forest) forest and LienHuaChih forest (LHC, typical forest) in dry season (January to April) are resulted from winter precipitation (November to December), with 2-3 month lags on leaf area index (LAI). Observational results show that increasing rainfall causes lower LAI in CL, and the contrasting responses shown in LHC. The conditions above could be explained as "radiated limit" (minimum water stress) and "water limit" (acute water stress), referring to the concept of the Budyko curve. We use land model to simulate different precipitation intensity, for completing the water demand characteristic curve that is insufficient in observational data. Furthermore, the model output can also explain the non-linear relationship between precipitation and vegetation photosynthesis, passing through soil moisture, canopy evaporation and transpiration. Then can therefore find out the interaction between hydrological process and carbon cycle.
Keywords: climate change, precipitation, cloud forest, vegetation index, Budyko curve
2020 Recipients
Lin, Szu-Ying, 1st-year Master's student. The Impacts of Terrestrial Water and Forest Carbon Uptake under Change of Precipitation in Chi-Lan Montane Cloud-Fog Forest.
Advisor: Dr. Min-Hui Lo
Co-advisor: Dr. Jehn-Yih Juang
ABSTRACT
Annual rainfall larger than 2000mm yr-1 provide enough water supply in dry season in tropical areas. Canopy water, which mainly intercepted from precipitation, makes montane cloud forest form its own unique water cycle than tropical ones. Different types of water demand to vegetation between ChiLan (CL, montane forest) forest and LienHuaChih forest (LHC, typical forest) in dry season (January to April) are resulted from winter precipitation (November to December), with 2-3 month lags on leaf area index (LAI). Observational results show that increasing rainfall causes lower LAI in CL, and the contrasting responses shown in LHC. The conditions above could be explained as "radiated limit" (minimum water stress) and "water limit" (acute water stress), referring to the concept of the Budyko curve.
We use land model to simulate different precipitation intensity, for completing the water demand characteristic curve that is insufficient in observational data. Furthermore, the model output can also explain the non-linear relationship between precipitation and vegetation photosynthesis, passing through soil moisture, canopy evaporation and transpiration. Then can therefore find out the interaction between hydrological process and carbon cycle.
Keywords: climate change, precipitation, cloud forest, vegetation index, Budyko curve
2019 Recipients
Wang, Siang-Heng, 3rd-year Doctoral student. Exploring Influences of Different Management Strategies on Surface Energy Patterns in Tea Field.
Advisor: Dr. Jehn-Yih Juang
Yang, En-Yang Joshua, 2nd-year Master's student. Spatial Distribution of Microplastic Fragments after Extreme Weather Event on the Northern Coast of Taiwan.
Advisor: Dr. Ludvig Löwemark
Co-advisor: Dr. Alexander Kunz
ABSTRACT
Plastic debris on Gongliao beach near Lungmen Nuclear Power Plant, North Taiwan, was sampled throughout 2018 and 2019. Plastic particles are classified into three size classes: large microplastics (1–5 mm), mesoplastics (5–25 mm), and macroplastics (>25 mm). The relationships among the abundances of the size classes were then examined. We expected that the stronger the typhoon impact is; the higher the amount of plastic debris can be found on the beach. The abundances of meso- and micro-plastics were most strongly correlated. There was a higher correlation between the abundances of macro- and meso-plastics than between macro- and micro-plastics.
Lin, Yu-Mei, 1st-year Master's student. Impact of Changes in Agricultural Activities on Local Climate over Taoyuan: Explore the differences between the model simulations and the observational weather data.
Advisor: Dr. Min-Hui Lo
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