Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference (한국농림기상학회:학술대회논문집)
- 2013.11a
- /
- Pages.30-31
- /
- 2013
Using Tower Flux Data to Assess the Impact of Land Use and Land Cover Change on Carbon Exchange in Heterogeneous Haenam Cropland
비균질한 해남 농경지의 탄소교환에 미치는 토지사용 및 피복변화의 영향에 대한 미기상학 자료의 활용에 관하여
- Indrawati, Yohana Maria (Interdisciplinary Program in Agricultural and Forest Meteorology, Seoul National University) ;
- Kang, Minseok (National Center for AgroMeteorology) ;
-
Kim, Joon
(Interdisciplinary Program in Agricultural and Forest Meteorology, Seoul National University)
- Published : 2013.11.20
Abstract
Land use and land cover change (LULCC) due to human activities directly affects natural systems and contributes to changes in carbon exchange and climate through a range of feedbacks. How land use and land cover changes affect carbon exchanges can be assessed using multiyear measurement data from micrometeorological flux towers. The objective of the research is to assess the impact of land use and land cover change on carbon exchange in a heterogeneous cropland area. The heterogeneous cropland area in Haenam, South Korea is also subjected to a land conversion due to rural development. Therefore, the impact of the change in land utilization in this area on carbon exchange should be assessed to monitor the cycle of energy, water, and carbon dioxide between this key agricultural ecosystem and the atmosphere. We are currently conducting the research based on 10 years flux measurement data from Haenam Koflux site and examining the LULCC patterns in the same temporal scale to evaluate whether the LULCC in the surrounding site and the resulting heterogeneity (or diversity) have a significant impact on carbon exchange. Haenam cropland is located near the southwestern coast of the Korean Peninsula with land cover types consisting of scattered rice paddies and various croplands (seasonally cultivated crops). The LULCC will be identified and quantified using remote sensing satellite data and then analyzing the relationships between LULCC and flux footprint of
Keywords