ArticleScientific data2024
A long-term high-resolution dataset of grasslands grazing intensity in China.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- A long-term (2000-2022), high-resolution (0.005°) aboveground biomass dataset of global grasslands.Scientific data · 2026Article
- Spatial distribution and environmental attributes dataset of China's large-scale data centers in 2024.Scientific data · 2026Article
- Assessing plague risk across seven decades of environmental change in Inner Mongolia, China: An interpretable machine learning.iScience · 2026Article
- Remote sensing reveals that wild herbivores limit senescent vegetation accumulation on dryland conservation reserves.Ecological applications : a publication of the Ecological Society of America · 2026Article
- Declining grassland canopy height in China under asymmetric biomass allocation.Nature communications · 2026Article
- Article
- Assessing the Biogeographic Risks of Potentially Toxic Plants-A Case Study for a Novel LocoweedEcology and evolution · 2026Article
- Environmental Drivers Override Host Phylogeny in a Locoweed-Endophyte Symbiosis.Journal of fungi (Basel, Switzerland) · 2026Article
- Spatiotemporal Variation of Ecological Quality in the Yinshan Mountains Detected by MODIS Remote Sensing Indicators.Ecology and evolution · 2026Article
- The Response ofEcology and evolution · 2026Article
- Interactions between brucellosis and environmental factors: spatiotemporal epidemiology from Xinjiang, China.BMC public health · 2025Article
- Prediction of Potential Suitable Habitats forEcology and evolution · 2025Article
- Quantitative impacts of climate change and human activities on grassland growth in Xinjiang, China.Frontiers in plant science · 2024Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Grazing is a significant anthropogenic disturbance to grasslands, impacting their function and composition, and affecting carbon budgets and greenhouse gas emissions. However, accurate evaluations of grazing impacts are limited by the absence of long-term high-resolution grazing intensity data (i.e., the number of livestock per unit area). This study utilized census livestock data and a satellite-based vegetation index to develop the first Long-term High-resolution Grazing Intensity (LHGI) dataset of grassland in seven pastoral provinces in western China from 1980 to 2022. The LHGI dataset effectively captured spatial variations in grazing intensity, with validation at 73 sites showing a correlation coefficient (R
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.