Shandong Provincial Key Laboratory of Water and Soil Conservation and Environmental Protection, College of Resources and Environment, Linyi University, Linyi 276000, China; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; University of Chinese Academy of Sciences, Beijing 100049, China; Department of Geography, Ghent University, 9000 Ghent, Belgium; Sino-Belgian Joint Laboratory of Geo-information, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; Sino-Belgian Joint Laboratory of Geo-information, Ghent University, 9000 Ghent, Belgium.
Shandong Provincial Key Laboratory of Water and Soil Conservation and Environmental Protection, College of Resources and Environment, Linyi University, Linyi 276000, China; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi 830011, China.
Sci Total Environ. 2020 Jun 20;722:137917. doi: 10.1016/j.scitotenv.2020.137917. Epub 2020 Mar 13.
The recent acute evolution of cropland structure in Cold China could lead to rapid rice paddy expansion, potentially altering land-surface thermal processes and influencing climate. To address the issue, this study investigated the changes in cropland type, land-surface temperature (LST) and heat fluxes in the agricultural region of Cold China during 2000-2015 based on time-series of land-use data and MODIS LST product, using the split-window algorithms (SWA) model and the pixel component arranging and component algorithm (PCACA). The investigation revealed large-scale land transformation from rain-fed farmland to paddy field in Cold China during 2000-2015. Compared to the rain-fed farmland, lower LST was observed in paddy field throughout crop growing seasons, with the highest LST threshold found in June (7.17 ± 1.05 °C) and the lowest value found in August (1.04 ± 0.35 °C). The cooling effect of paddy-field ranged from 0.59 ± 0.06 °C, 0.77 ± 0.07 °C, and 1.08 ± 0.08 °C for the low-, medium-, and high-density paddies, respectively. Compared to other months, stronger cooling effect was found in May and June. Further analysis showed the conversion of a rain-fed farmland to paddy field reduced the sensible heat flux and soil heat flux by 52.94 W/m and 15.26 W/m, respectively, while increased the latent heat flux and net radiation by 115.66 W/m and 47.34 W/m, respectively. The findings from this study indicated the changes in cropland structure and management regime (e.g., irrigation) could profoundly modify land-surface thermal processes and local/regional climate, interfering the signals from global warming. Therefore, instrumental climate data that collected from areas experienced large-scale conversion between rain-fed and paddy farmland should be carefully screened and corrected to prevent land-use induced biases.
近年来,寒区耕地结构的快速演变可能导致水田快速扩张,从而改变地表热力过程,影响气候。为解决这一问题,本研究基于土地利用数据时间序列和 MODIS LST 产品,利用分裂窗口算法(SWA)模型和像素成分排列和成分算法(PCACA),研究了 2000-2015 年寒区农业区耕地类型、地表温度(LST)和热通量的变化。研究表明,2000-2015 年寒区大规模的土地由雨养农田向水田转变。与雨养农田相比,整个作物生长季水田的 LST 较低,6 月的最高 LST 阈值为 7.17±1.05°C,8 月的最低值为 1.04±0.35°C。水田的降温效果分别为低、中、高密度水田的 0.59±0.06°C、0.77±0.07°C 和 1.08±0.08°C。与其他月份相比,5 月和 6 月的降温效果更强。进一步分析表明,将雨养农田转换为水田可使感热通量和土壤热通量分别减少 52.94 W/m 和 15.26 W/m,潜热通量和净辐射通量分别增加 115.66 W/m 和 47.34 W/m。本研究结果表明,耕地结构和管理方式(如灌溉)的变化可显著改变地表热力过程和局地/区域气候,干扰全球变暖信号。因此,应仔细筛选和校正在经历雨养和水田大规模转换地区收集的仪器气候数据,以防止因土地利用引起的偏差。