The Temporal Analysis of Regional Cultivated Land Productivity with GPP Based on 2000-2018 MODIS Data

被引:17
|
作者
Ma, Jiani [1 ,2 ]
Zhang, Chao [1 ,2 ]
Yun, Wenju [2 ,3 ]
Lv, Yahui [1 ,2 ]
Chen, Wanling [1 ,2 ]
Zhu, Dehai [1 ,2 ]
机构
[1] China Agr Univ, Coll Land Sci & Technol, Beijing 100083, Peoples R China
[2] Minist Nat Resources, Key Lab Agr Land Qual Monitoring & Control, Beijing 100035, Peoples R China
[3] Minist Nat Resources, Land Consolidat & Rehabil Ctr, Beijing 100035, Peoples R China
基金
国家重点研发计划;
关键词
sustainability; cultivated land productivity; GPP; time series analysis; Mann-Kendall; Hurst exponent; MODIS; GROSS PRIMARY PRODUCTION; SOIL ORGANIC-CARBON; CLIMATE-CHANGE; TIME-SERIES; VEGETATION; TRENDS; CORN; GROWTH; CHINA;
D O I
10.3390/su12010411
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The spatiotemporal change characteristics of Cultivated Land Productivity (CLP) are imperative for ensuring regional food security, especially given recent global warming, social development and population growth. Based on the hypothesis that the Gross Primary Productivity (GPP) is a proxy of land productivity, the Moderate Resolution Imaging Spectroradiometer (MODIS) data with 500-m spatial resolution and 8-day temporal resolution was employed by the Vegetation Photosynthesis Model (VPM) to calculate GPP in Jilin Province, China. We explored the level of CLP using the GPP mean from 2000 to 2018, and analyzed the changing trend and amplitude of CLP in the whole study period using both Theil-Sen median trend analysis and the Mann-Kendall (MK) test, and forecasted the sustainability of CLP with the Hurst exponent. The trend result and the Hurst exponent were integrated to acquire the future direction of change. The results revealed that: (1) The CLP level was generally high in the southeast and low in the northwest in cultivated land in Jilin, China. The area with the lowest productivity, located in the northwest of Jilin, accounted for 15.56%. (2) The majority (84.77%) of the area showed an increasing trend in 2000-2018, which was larger than the area that was decreasing, which accounted for 3.97%. (3) The overall change amplitude was dominated by a slightly increasing trend, which accounted for 51.48%. (4) The area with sustainability accounted for 33.45% and was mainly distributed in the northwest of Jilin. The area with anti-sustainability accounted for 26.78% and was mainly distributed in the northwest and central Jilin. (5) The Hurst exponent result showed that uncertain variation of CLP is likely to occur in the future over the entire region, and the central region is prone to display degeneration. Therefore, the results of this study indicated that quality improvement policy could be implemented for the middle-to-low yield fields in northwest Jilin, and dynamic monitoring and protection measures could be implemented for the areas with uncertain future changes and decreasing sustainability.
引用
收藏
页数:16
相关论文
共 50 条
  • [31] Spatiotemporal Patterns of Urbanization in the Three Most Developed Urban Agglomerations in China Based on Continuous Nighttime Light Data (2000-2018)
    Li, Yu
    Ye, Haipeng
    Gao, Xing
    Sun, Dongqi
    Li, Zehong
    Zhang, Ninghui
    Leng, Xuejing
    Meng, Dan
    Zheng, Ji
    [J]. REMOTE SENSING, 2021, 13 (12)
  • [32] Detecting regional GPP variations with statistically downscaled solar-induced chlorophyll fluorescence (SIF) based on GOME-2 and MODIS data
    Hu, Shi
    Mo, Xingguo
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2020, 41 (23) : 9206 - 9228
  • [33] Automatic unmixing of MODIS multi-temporal data for inter-annual monitoring of land use at a regional scale (Tensift, Morocco)
    Benhadj, Iskander
    Duchemin, Benoit
    Maisongrande, Philippe
    Simonneaux, Vincent
    Khabba, Said
    Chehbouni, Abdelghani
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2012, 33 (05) : 1325 - 1348
  • [34] Identifying the Driving Factors of Food Nitrogen Footprint in China, 2000-2018: Econometric Analysis of Provincial Spatial Panel Data by the STIRPAT Model
    Liu, Chun
    Nie, Gui-hua
    [J]. SUSTAINABILITY, 2021, 13 (11)
  • [35] Analysis of Temporal and Spatial Evolution and Influence Factors of Cultivated Land in Pearl River Delta Based on GIS
    Zhao, Xiao Juan
    Ye, Yun
    [J]. 2020 INTERNATIONAL CONFERENCE ON GREEN DEVELOPMENT AND ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2020, 615
  • [36] Land Cover Classification of the Korean Peninsula Using Linear Spectral Mixture Analysis of MODIS Multi-temporal Data
    Jeong, Seung-Gyu
    Park, Chong-Hwa
    Kim, Sang-Wook
    [J]. KOREAN JOURNAL OF REMOTE SENSING, 2006, 22 (06) : 553 - 563
  • [37] Evaluation of two end-member-based models for regional land surface evapotranspiration estimation from MODIS data
    Tang, Ronglin
    Li, Zhao-Liang
    [J]. AGRICULTURAL AND FOREST METEOROLOGY, 2015, 202 : 69 - 82
  • [38] Multi-Temporal Analysis and Trends of the Drought Based on MODIS Data in Agricultural Areas, Romania
    Angearu, Claudiu-Valeriu
    Ontel, Irina
    Boldeanu, George
    Mihailescu, Denis
    Nertan, Argentina
    Craciunescu, Vasile
    Catana, Simona
    Irimescu, Anisoara
    [J]. REMOTE SENSING, 2020, 12 (23) : 1 - 24
  • [39] NOISE REDUCTION IN MODIS NDVI TIME SERIES DATA BASED ON SPATIAL-TEMPORAL ANALYSIS
    de Oliveira, Julio Cesar
    Neves Epiphanio, Jose Carlos
    [J]. 2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 2372 - 2375
  • [40] Assessment of Spatio-Temporal Vegetation Productivity Pattern Based on MODIS-NDVI and Geo-Correlation Analysis
    Wang, Zhenyu
    Li, Gaole
    Dai, Yiru
    Wang, Zhibo
    Sha, Zongyao
    [J]. GEO-INFORMATICS IN RESOURCE MANAGEMENT AND SUSTAINABLE ECOSYSTEM, 2016, 569 : 673 - 681