Spatio-temporal variations and influencing factors of the stable forest land surface albedo in southeastern Guizhou Province
YUAN Na1,2(), LIU Suihua1,2(), HU Haitao1,2, YIN Xia1,2, SONG Shanhai3
1. College of Geography and Environmental Science, Guizhou Normal University, Guiyang 550025, China 2. Key Laboratory of Remote Sensing Applications for Mountain Resources and Environment, Guizhou Normal University, Guiyang 550025, China 3. Guizhou Ecological Meteorology and Satellite Remote Sensing Center, Guiyang 550002, China
Land surface albedo (LSA) directly affects the radiation balance and surface energy balance of the earth-atmosphere system. Stable forest land exhibits integrated ecological vegetation, a relatively stable regional microclimate, and an intricate relationship with LSA. Based on the MODIS LSA (MCD43A3), enhanced vegetation index (EVI,MOD13Q1), land use (MOD12Q1), soil moisture, air temperature, and precipitation data, this study investigated the spatio-temporal variations in LSA of stable forest land in southeastern Guizhou Province, as well as their correlation with various factors and driving factors, through Theil-Sen (T-S)/Mann-Kendall (M-K) trend analysis, correlation analysis, and multiple regression analysis. The results show that: ① The stable forest land exhibited LSAs varying between 0.102~0.112, 0.110~0.113, and 0.099~0.102, respectively in the interannual period, growing season, and dormant season. These suggest an overall stable trend and a spatial distribution pattern characterized by low values in the central portion and high values in surrounding areas; ② The LSA was significantly negatively correlated with soil moisture in the inter-annual period and the growing season, with correlation coefficients of -0.951 and -0.943, respectively. In the dormant season, the LSA was significantly positively correlated with EVI, with a correlation coefficient of 0.933; ③ The LSA was subjected to the negative driving by EVI and air temperature and positive driving by soil moisture in the interannual period, growing season, and dormant season, with standardized coefficients of -9.168, -11.332, and 1.319, respectively. The results of this study can assist in accurately understanding the driving mechanism behind the LSA of stable forest land in southeastern Guizhou Province, thereby providing a reference for studying the climate change of forest land in small areas at low latitudes.
袁娜, 刘绥华, 胡海涛, 尹霞, 宋善海. 黔东南稳定林地地表反照率时空变化与影响因子分析[J]. 自然资源遥感, 2024, 36(1): 200-209.
YUAN Na, LIU Suihua, HU Haitao, YIN Xia, SONG Shanhai. Spatio-temporal variations and influencing factors of the stable forest land surface albedo in southeastern Guizhou Province. Remote Sensing for Natural Resources, 2024, 36(1): 200-209.
Lee X, Goulden M L, Hollinger D Y, et al. Observed increase in local cooling effect of deforestation at higher latitudes[J]. Nature, 2011, 479(7373):384-387.
doi: 10.1038/nature10588
[4]
Rotenberg E, Yakir D. Contribution of semi-arid forests to the climate system[J]. Science, 2010, 327(5964):451-454.
doi: 10.1126/science.1179998
pmid: 20093470
Zhai J, Liu R G, Liu J Y, et al. Radiative forcing over China due to albedo change caused by land cover change during 1990—2010[J]. Acta Geographica Sinica, 2013, 68(7):875-885.
[6]
Planque C, Carrer D, Roujean J L. Analysis of MODIS albedo changes over steady woody covers in France during the period of 2001—2013[J]. Remote Sensing of Environment, 2017, 191:13-29.
doi: 10.1016/j.rse.2016.12.019
[7]
Kuusinen N, Stenberg P, Korhonen L, et al. Structural factors driving boreal forest albedo in Finland[J]. Remote Sensing of Environment, 2016, 175:43-51.
doi: 10.1016/j.rse.2015.12.035
Zhao J J, Zhang X L. Interannual variation of forest cover and albedo in Northern China[J]. Journal of Zhejiang University of Agriculture and Forestry, 2015, 32(5):683-690.
[9]
Bonan G B. Forests and climate change:Forcings,feedbacks,and the climate benefits of forests[J]. Science, 2008, 320(5882):1444-1449.
doi: 10.1126/science.1155121
Deng X J, Jing C Q, Guo W Z, et al. Spatio-temporal variation characteristics of surface albedo and analysis of influential factors in the Junggar Basin[J]. Arid Zone Research, 2021, 38(2):314-326.
[11]
Jin Y, Schaaf C B, Woodcock C E, et al. Consistency of MODIS surface bidirectional reflectance distribution function and albedo retrievals:2.Validation[J]. Journal of Geophysical Research:Atmospheres, 2003, 108(D5).
[12]
Lucht W, Hyman A H, Strahler A H, et al. A comparison of satellite-derived spectral albedos to ground-based broadband albedo measurements modeled to satellite spatial scale for a semidesert landscape[J]. Remote Sensing of Environment, 2000, 74(1):85-98.
doi: 10.1016/S0034-4257(00)00125-5
[13]
Sabziparvar A A, Ghahfarokhi S M M, Khorasani H T. Long-term changes of surface albedo and vegetation indices in north of Iran[J]. Arabian Journal of Geosciences, 2020, 13: 1-11.
doi: 10.1007/s12517-019-5007-7
[14]
Fernandes R, Leblanc S G. Parametric (modified least squares) and non-parametric (Theil-Sen) linear regressions for predicting biophysical parameters in the presence of measurement errors[J]. Remote Sensing of Environment, 2005, 95(3):303-316.
doi: 10.1016/j.rse.2005.01.005
Ruan Y, Wang C K, Liu F, et al. Temporal variation and influencing factors of albedo in a deciduous broad-leaved forest[J]. Chinese Journal of Applied Ecology, 2022, 33(8):2068-2076.
doi: 10.13287/j.1001-9332.202208.011
Yu Y, Li Y Y, Tong Y X, et al. Observation and analysis of surface albedo of wheat and rice fields in Shouxian region[J]. Climatic and Environmental Research, 2009, 14(6):639-645.
[17]
Betts A K, Desjardins R L, Worth D. Impact of agriculture,forest and cloud feedback on the surface energy budget in BOREAS[J]. Agricultural and Forest Meteorology, 2007, 142(2-4):156-169.
doi: 10.1016/j.agrformet.2006.08.020
Zhu D P, Ye H, Wang J B, et al. Albedo changes of alpine vegetation and its radiative temperature effect in the Three-River Headwaters Region of Qinghai[J]. Acta Ecologica Sinica, 2022, 42(14):5630-5641.
Zhang X Z. The responses of surface albedo to climatic changes in Xilin Gol grassland[J]. Geographical Research, 2012, 31(2):299-310.
doi: 10.11821/yj2012020010
Lu Y B, Wang L C, Niu Z G, et al. Variations of land surface albedo and its influencing factors in China from 2000 to 2017[J]. Geographical Research, 2022, 41(2):562-579.
doi: 10.11821/dlyj020210005
Gao T, Shen R P, Li L, et al. Spatial and temporal variations of land surface albedo and its influencing factors based on MODIS data[J]. Climatic and Environmental Research, 2021, 26(6):648-662.
Zhao Z Z, Zhao K, Xu J B, et al. Spatial-temporal changes of surface albedo and its relationship with climate factors in the source of three rivers region[J]. Arid Zone Research, 2014, 31(6):1031-1038.
2024, Vol. 36 
), 刘绥华1,2(
