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8 Results Found

  • Article
  • Open Access
7 Citations
3,001 Views
15 Pages

Grazing is the main utilization of native grassland, and forage fungal disease is one of the limiting factors of grassland productivity. The present research in the Hulunber meadow steppe grassland was conducted to investigate the responses of the do...

  • Article
  • Open Access
24 Citations
7,290 Views
24 Pages

2 July 2014

The leaf area index (LAI) is a crucial parameter of vegetation structure. It provides key information for earth surface process simulations and climate change research on the global and regional scales. Focusing on the meadow steppe in Hulunber, Inne...

  • Article
  • Open Access
17 Citations
4,201 Views
16 Pages

Grazing Affects the Ecological Stoichiometry of the Plant–Soil–Microbe System on the Hulunber Steppe, China

  • Juan Cao,
  • Ruirui Yan,
  • Xiaoyong Chen,
  • Xu Wang,
  • Qiang Yu,
  • Yunlong Zhang,
  • Chen Ning,
  • Lulu Hou,
  • Yongjuan Zhang and
  • Xiaoping Xin

24 September 2019

Grazing affects nutrient cycling processes in grasslands, but little is known by researchers about effects on the nutrient stoichiometry of plant–soil–microbe systems. In this study, the influence of grazing intensity (0, 0.23, 0.34, 0.46...

  • Article
  • Open Access
90 Citations
9,723 Views
19 Pages

Modeling Aboveground Biomass in Hulunber Grassland Ecosystem by Using Unmanned Aerial Vehicle Discrete Lidar

  • Dongliang Wang,
  • Xiaoping Xin,
  • Quanqin Shao,
  • Matthew Brolly,
  • Zhiliang Zhu and
  • Jin Chen

19 January 2017

Accurate canopy structure datasets, including canopy height and fractional cover, are required to monitor aboveground biomass as well as to provide validation data for satellite remote sensing products. In this study, the ability of an unmanned aeria...

  • Article
  • Open Access
13 Citations
4,013 Views
19 Pages

The Joint Effect of Grazing Intensity and Soil Factors on Aboveground Net Primary Production in Hulunber Grasslands Meadow Steppe

  • Ahmed Ibrahim Ahmed,
  • Lulu Hou,
  • Ruirui Yan,
  • Xiaoping Xin and
  • Yousif Mohamed Zainelabdeen

The management practices required for grazing management will continue to increase, as necessitated by the reported rate of reduction in productivity, coupled with the degradation of Inner Mongolian steppe ecosystems. The current study was conducted...

  • Article
  • Open Access
11 Citations
3,512 Views
19 Pages

Estimating Grassland Carbon Stocks in Hulunber China, Using Landsat8 Oli Imagery and Regression Kriging

  • Lei Ding,
  • Zhenwang Li,
  • Xu Wang,
  • Ruirui Yan,
  • Beibei Shen,
  • Baorui Chen and
  • Xiaoping Xin

5 December 2019

Accurately estimating grassland carbon stocks is important in assessing grassland productivity and the global carbon balance. This study used the regression kriging (RK) method to estimate grassland carbon stocks in Northeast China based on Landsat8...

  • Article
  • Open Access
16 Citations
3,065 Views
18 Pages

Comparative Analysis of Feature Importance Algorithms for Grassland Aboveground Biomass and Nutrient Prediction Using Hyperspectral Data

  • Yue Zhao,
  • Dawei Xu,
  • Shuzhen Li,
  • Kai Tang,
  • Hongliang Yu,
  • Ruirui Yan,
  • Zhenwang Li,
  • Xu Wang and
  • Xiaoping Xin

28 February 2024

Estimating forage yield and nutrient composition using hyperspectral remote sensing is a major challenge. However, there is still a lack of comprehensive research on the optimal wavelength for the analysis of various nutrients in pasture. In this res...

  • Article
  • Open Access
2 Citations
1,021 Views
19 Pages

Medicago Pasture Soil C:N:P Stoichiometry Mediated by N Fertilization in Northern China

  • Bo Yuan,
  • Lijun Xu,
  • Jiaqiang Wei,
  • Meji Cuo,
  • Hongzhi Zhang,
  • Yingying Nie,
  • Mingying Guo,
  • Jinxia Li and
  • Xinwei Liu

17 March 2025

The degradation of black soil cropland has occurred to varying degrees in the northern agropastoral ecotone. Crop–forage rotation is an effective way to improve soil quality, with Medicago being the preferred perennial legume. The C, N, and P s...