The grassland ecosystem is one of the most important and widely distributed terrestrial ecosystems. Analyzing the grassland degradation and its influential factors holds great significance for guiding the conservation and sustainable use of grassland resources, as well as the restoration and reconstruction of degraded ecosystems. This study extracted information on the distribution of grassland in western Songnen Plain using an object-oriented classification method and a multi-layer decision tree while comprehensively considering the degradation of vegetation and soils. Using Landsat TM image data, this study constructed a comprehensive grassland degradation index (GDI) for 11 even years from 2000 to 2020, followed by the assessment of the spatiotemporal dynamics of grassland degradation. Using the standardized precipitation evapotranspiration index (SPEI) as an indicator of drought, this study analyzed the responses of grassland degradation to the spatiotemporal changes in climate-induced drought. The results indicate that from 2000 to 2020, grassland in the western Songnen Plain decreased to 1 024 700 hm2 from 1 051 700 hm2, with an annual decreasing rate of 0.1%. The grassland degradation showed a nonsignificant downward trend, with 81.7% of the grassland exhibiting a stable or downward degradation trend. The SPEI exhibited an increasing trend in both spring and summer, representing a downward drought trend with significant regional differences. Besides, there was a nonsignificant weak positive correlation between GDI and SPEI in both spring and summer. The results of this study will provide data support for the conservation and sustainable use of grasslands in the western Songnen Plain, while also holding active significance for managing and controlling the ecological and economic benefits of grasslands in this region.
刘文慧, 李欣烨, 李晓燕. 基于综合遥感指数的松嫩平原西部草地退化及其对干旱的响应[J]. 自然资源遥感, 2025, 37(1): 232-242.
LIU Wenhui, LI Xinye, LI Xiaoyan. Grassland degradation and its response to drought in the western Songnen Plain based on comprehensive remote sensing index. Remote Sensing for Natural Resources, 2025, 37(1): 232-242.
Scurlock J M O, Johnson K, Olson R J. Estimating net primary productivity from grassland biomass dynamics measurements[J]. Global Change Biology, 2002, 8(8):736-753.
[2]
Heath M E, Barnes R F, Metcalfe D S. Forages:The science of grassland agriculture[M]. Array Ames,Iowa, USA: Iowa State University Press,1985.
[3]
Liu Y, Zhang Z, Tong L, et al. Assessing the effects of climate variation and human activities on grassland degradation and restoration across the globe[J]. Ecological Indicators, 2019,106:105504.
[4]
Liu M, Dries L, Heijman W, et al. Land tenure reform and grassland degradation in Inner Mongolia,China[J]. China Economic Review, 2019,55:181-198.
Wang H Y, Guo J Y, Li H L, et al. Vegetation characteristics of Stipa breviflora desert steppe in different degradation degree[J]. Chinese Journal of Grassland, 2015, 37(3):74-79.
Qin J P, Liu Y, Ma Y S, et al. Effects of rest grazing during greenup period on plant growth of degraded alpine meadow and photosynthesis of its dominant plant Elymus nutans Griseb[J]. Acta Agrestia Sinica, 2020, 28(4):1068-1075.
Liu X G. Analysis of grassland vegetation characteristics at different degraded degree in the north foot region of Yinshan Mountain[J]. Journal of Inner Mongolia Agricultural University (Natural Science Edition), 2015, 36(6):65-69.
Luo L, Wang Z M, Mao D H, et al. Responses of grassland net primary productivity in western Songnen Plain of Northeast China to climate change and human activity[J]. Chinese Journal of Ecology, 2012, 31(6):1533-1540.
[9]
Wang L, Zheng S, Wang X. The spatiotemporal changes and the impacts of climate factors on grassland in the northern Songnen Plain (China)[J]. Sustainability, 2021, 13(12):6568.
[10]
薛鹏飞. 高寒草地退化遥感监测与综合评价——以甘南地区为例[D]. 兰州: 兰州大学, 2022.
Xue P F. Remote sensing monitoring and comprehensive evaluation of alpine grassland degradation[D]. Lanzhou: Lanzhou University, 2022.
[11]
陈曦. 中国干旱区自然地理[M]. 北京: 科学出版社,2010:7-9.
Chen X. Physical geography of arid land in China[M]. Beijing: Science Press,2010:7-9.
Wu N T, Liu G X, Yang Y, et al. Dynamic monitoring of net primary productivity and its response to climate factors in native grassland in Inner Mongolia using a light-use efficiency model[J]. Acta Prataculturae Sinica, 2020, 29(11):1-10.
[13]
Vicente-Serrano S M, Beguería S, López-Moreno J I, et al. A new global 0.5° gridded dataset (1901—2006) of a multiscalar drought index:Comparison with current drought index datasets based on the palmer drought severity index[J]. Journal of Hydrometeorology,2010, 11(4):1033-1043.
Guo J H, Wang H X, Zhao R X, et al. Analysis of drought characteristics in Songnen Plain with multidimensional Copula function[J]. Water Saving Irrigation, 2020(12):57-63,67.
Yang F, Huang Q Y, Xie L H, et al. Causes of grassland degradation and ecological restoration methods in Songnen Plain[J]. Territory & Natural Resources Study, 2021(4):90-92.
[16]
李强. 不同恢复措施对松嫩平原退化草地的作用[D]. 长春: 东北师范大学, 2010.
Li Q. The effect of different restoration measures on degraded grassland in Songnen Plain[D]. Changchun: Northeast Normal University, 2010.
[17]
Li F, Jiang L, Wang X, et al. Estimating grassland aboveground biomass using multitemporal MODIS data in the West Songnen Plain,China[J]. Journal of Applied Remote Sensing, 2013, 7(1):073546.
[18]
Chen H, Liu X, Ding C, et al. Phenology-based residual trend analysis of MODIS-NDVI time series for assessing human-induced land degradation[J]. Sensors, 2018, 18(11):3676.
Wu S, Feng X F, Kong L L, et al. Effects of climate variation and human activities on grassland degradation in Tibet[J]. Geographical Research, 2021, 40(5):1265-1279.
[20]
Yu T, Jiapaer G, Bao A, et al. Using synthetic remote sensing indicators to monitor the land degradation in a salinized area[J]. Remote Sensing, 2021, 13(15):2851.
[21]
Zhang M, Lal R, Zhao Y, et al. Spatial and temporal variability in the net primary production of grassland in China and its relation to climate factors[J]. Plant Ecology, 2017, 218(9):1117-1133.
Jiang X W. Quantitative study on the influence of drought and land use change on net primary productivity of vegetation in loess plateau[D]. Xi’an: Shaanxi Normal University, 2021.
Zhang Y, Zhang C B, Wang Z Q, et al. Spatiotemporal dynamics of grassland coverage in response to climate change from 1982 to 2012 in the Three Rivers Source region,China[J]. Pratacultural Science,2017, 34(10):1977-1990.
[24]
Huang F, Wang P, Zhang J. Grasslands changes in the northern Songnen Plain,China during 1954—2000[J]. Environmental Monitoring and Assessment, 2012, 184(4):2161-2175.
doi: 10.1007/s10661-011-2107-6
pmid: 21614622
Wang J, Guo N, Cai D H, et al. The effect evaluation of the program of restoring grazing to grasslands in Maqu County[J]. Acta Ecologica Sinica, 2009, 29(3):1276-1284.
Shi M M, Wang Z, Zhou B R, et al. Characteristics of grassland degradation and its relationship with climate factors on Qinghai-Tibetan Plateau,China[J]. Chinese Journal of Applied Ecology, 2022, 33(12):3271-3278.
Kang Z S, Zhang S, Bai Y, et al. Spatio-temporal changes of grassland net primary productivity (NPP) in inner Mongolia and its response to drought[J]. Acta Agrestia Sinica, 2021, 29(1):156-165.
[28]
Torresani L, Wu J, Masin R, et al. Estimating soil degradation in montane grasslands of north-eastern Italian Alps (Italy)[J]. Heliyon, 2019, 5(6):e01825.
[29]
Li H, Huang F, Hong X, et al. Evaluating satellite-observed ecosystem function changes and the interaction with drought in Songnen Plain,Northeast China[J]. Remote Sensing, 2022, 14(22):5887.
[30]
王浩男. 松嫩平原盐碱地景观格局演化及驱动力分析[D]. 长春: 吉林大学, 2021.
Wang H N. The saline-alkali land analysis of landscape pattern evolution and driving forces in Songnen plain[D]. Changchun: Jilin University, 2021.
[31]
李叶. 松嫩平原盐碱地植被状况时空变化精细化模型构建[D]. 长春: 吉林大学, 2022.
Li Y. Construction of refined model of temporal and spatial variation of vegetation status in saline alkali land of Songnen Plain[D]. Changchun: Jilin University, 2022.
Man W D, Liu M Y, Wang Z M, et al. Remote sensing investigation of grassland change in Northeast China during 1990—2015[J]. China Environmental Science, 2020, 40(5):2246-2253.
Niu S L, Jiang G M. Function of artificial grassland in restoration of degraded natural grassland and its research advance[J]. Chinese Journal of Applied Ecology, 2004, 15(9):1662-1666.
Zhang S Z, Zhu X F, Liu T T, et al. Response of gross primary production to drought under climate change in different vegetation regions of China[J]. Acta Ecologica Sinica, 2022, 42(8):3429-3440.
[35]
Jha S, Srivastava R. Impact of drought on vegetation carbon storage in arid and semi-arid regions[J]. Remote Sensing Applications:Society and Environment, 2018,11:22-29.
[36]
曹旭娟. 青藏高原草地退化及其对气候变化的响应[D]. 北京: 中国农业科学院, 2017.
Cao X J. Grassland degradation and its response to climate change in the Qinghai-Tibet Plateau[D]. Beijing: Chinese Academy of Agricultural Sciences, 2017.
Li C X. Analysis of grassland degradation and influencing factors based on remote sensing[D]. Beijing: China University of Geosciences, 2016.
[38]
Liu S, Zhang Y, Cheng F, et al. Response of grassland degradation to drought at different time-scales in Qinghai Province:Spatio-temporal characteristics,correlation,and implications[J]. Remote Sensing, 2017, 9(12):1329.
Zou J. Spatial and temporal distribution of ecosystem water use efficiency and drought tolerance effect in central Asia[D]. Urumqi: Xinjiang University, 2020.
[40]
Liu S L, Wang T, Kang W P, et al. Vegetation change and its response to drought in Inner Mongolia of Northern China from 1998 to 2013[J]. Sciences in Cold and Arid Regions, 2019, 11(6):448-460.
[41]
Bai Y, Li S. Growth peak of vegetation and its response to drought on the Mongolian Plateau[J]. Ecological Indicators, 2022,141:109150.
[42]
Zhao W K, Jing C Q. Response of the natural grassland vegetation change to meteorological drought in Xinjiang from 1982 to 2015[J]. Frontiers in Environmental Science, 2022,10:1047818.