Literature DB >> 32199392

Large-scale rain-fed to paddy farmland conversion modified land-surface thermal properties in Cold China.

Tao Pan1, Chi Zhang2, Wenhui Kuang3, Geping Luo4, Guoming Du5, Zherui Yin6.   

Abstract

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/m2 and 15.26 W/m2, respectively, while increased the latent heat flux and net radiation by 115.66 W/m2 and 47.34 W/m2, 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.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cold China; Land use change; Remote sensing; Surface thermal environment

Year:  2020        PMID: 32199392     DOI: 10.1016/j.scitotenv.2020.137917

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  Mapping 20 years of irrigated croplands in China using MODIS and statistics and existing irrigation products.

Authors:  Chao Zhang; Jinwei Dong; Quansheng Ge
Journal:  Sci Data       Date:  2022-07-15       Impact factor: 8.501

2.  Dynamic Variation of Ecosystem Services Value under Land Use/Cover Change in the Black Soil Region of Northeastern China.

Authors:  Quanfeng Li; Lu Wang; Guoming Du; Bonoua Faye; Yunkai Li; Jicheng Li; Wei Liu; Shijin Qu
Journal:  Int J Environ Res Public Health       Date:  2022-06-20       Impact factor: 4.614

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.