Year
Month
(Peer-Reviewed) Transformation of agriculture on the Loess Plateau of China toward green development
Gang HE 何刚 ¹, Zhaohui WANG 王朝辉 ¹, Jianbo SHEN 申建波 ², Zhenling CUI 崔振岭 ², Fusuo ZHANG 张福锁 ²
¹ College of Natural Resources and Environment, Northwest A&F University, Yangling 712100, China
中国 杨凌 西北农林科技大学 资源环境学院
² College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, China Agricultural University, Beijing 100193, China
中国 北京 中国农业大学资源与环境学院 国家农业绿色发展研究院
Abstract

Loess Plateau of China is a typical dryland agricultural area. Agriculture there has transformed from food shortage toward green development over the past seven decades, and has achieved world-renowned achievements.

During 1950–1980, the population increased from 42 to 77 million, increasing grain production to meet food demand of rapid population growth was the greatest challenge. Engineering measures such as terracing and check-dam were the crucial strategies to increase crop production. From 1981 to 2000, most of agronomic measures played a key role in increasing crops yield, and a series of policy support has benefited millions of smallholders. As expected, these measures and policies greatly increased crop production and basically achieved food security; but, low per capita GDP (only about 620 USD in 2000) was still a big challenge. During 2001–2015, the increase in agricultural and non-agricultural income together supported the increase in farmer income to 5781 USD·yr⁻¹.

Intensive agriculture that relies heavily on chemicals increased crop productivity by 56%. Steadfast policy support such as “Grain for Green Program” had an overwhelming advantage in protecting the natural ecological environment. In the new era, the integration of science and technology innovations, policy support and positive societal factors will be the golden key to further improve food production, protect environment, and increase smallholder income.
Transformation of agriculture on the Loess Plateau of China toward green development_1
Transformation of agriculture on the Loess Plateau of China toward green development_2
Transformation of agriculture on the Loess Plateau of China toward green development_3
Transformation of agriculture on the Loess Plateau of China toward green development_4
  • Integrated photonic synapses, neurons, memristors, and neural networks for photonic neuromorphic computing
  • Shufei Han, Weihong Shen, Min Gu, Qiming Zhang
  • Opto-Electronic Technology
  • 2025-12-25
  • Photoacoustic spectroscopy and light-induced thermoelastic spectroscopy based on inverted-triangular lithium niobate tuning fork
  • Junjie Mu, Guowei Han, Runqiu Wang, Shunda Qiao, Ying He Yufei Ma
  • Opto-Electronic Science
  • 2025-12-25
  • Thin-film lithium niobate-based detector: recent advances and perspectives
  • Xiaoli Sun, Yuechen Jia, Feng Chen
  • Opto-Electronic Science
  • 2025-12-25
  • In-situ and ex-situ twisted bilayer liquid crystal computing platform for reconfigurable image processing
  • Kang Zeng, Yougang Ke, Zhangming Hong, Linzhou Zeng, Xinxing Zhou
  • Opto-Electronic Advances
  • 2025-12-25
  • Highly textured single-crystal-like perovskite films for large-area, high-performance photodiodes
  • Runkai Liu, Feng Li, Rongkun Zheng
  • Opto-Electronic Advances
  • 2025-12-25
  • Robust performance of PTQ10:DTY6 in halogen-free photovoltaics across deposition techniques and configurations for industrial scale-up
  • Atiq Ur Rahman, Tanner M. Melody, Sydney Pfleiger, Acacia Patterson, Andrea Reale, Brian A. Collins
  • Opto-Electronic Advances
  • 2025-12-25
  • Surpassing the diffraction limit in long-range laser engineering via cross-scale vectorial optical field manipulation: perspectives and outlooks
  • Yinghui Guo, Mingbo Pu, Yang Li, Mingfeng Xu, Xiangang Luo
  • Opto-Electronic Advances
  • 2025-12-25
  • Spatiotemporal multiplexed photonic reservoir computing: parallel prediction for the high-dimensional dynamics of complex semiconductor laser network
  • Tong Yang, Li-Yue Zhang, Song-Sui Li, Wei Pan, Xi-Hua Zou, Lian-Shan Yan
  • Opto-Electronic Advances
  • 2025-12-25
  • Filament based ionizing radiation sensing
  • Pengfei Qi, Haiyi Liu, Jiewei Guo, Nan Zhang, Lu Sun, Shishi Tao, Binpeng Shang, Lie Lin Weiwei Liu
  • Opto-Electronic Advances
  • 2025-12-25
  • Separation and identification of mixed signal for distributed acoustic sensor using deep learning
  • Huaxin Gu, Jingming Zhang, Xingwei Chen, Feihong Yu, Deyu Xu, Shuaiqi Liu, Weihao Lin, Xiaobing Shi, Zixing Huang, Xiongji Yang, Qingchang Hu, Liyang Shao
  • Opto-Electronic Advances
  • 2025-11-25
  • Scale-invariant 3D face recognition using computer-generated holograms and the Mellin transform
  • Yongwei Yao, Yaping Zhang, Huanrong He, Xianfeng David Gu, Daping Chu, Ting-Chung Poon
  • Opto-Electronic Advances
  • 2025-11-25
  • Partially coherent optical chip enables physical-layer public-key encryption
  • Bo Wu, Wenkai Zhang, Hailong Zhou, Jianji Dong, Yilun Wang, Xinliang Zhang
  • Opto-Electronic Advances
  • 2025-11-25



  • Mapping non-laminar proton acceleration in laser-driven target normal sheath field                                A lignified-layer bridge controlled by a single recessive gene is associated with high pod-shatter resistance in Brassica napus L
    About
    |
    Contact
    |
    Copyright © PubCard