Anthropogenic and natural influence on vegetation ecosystems from 1982 to 2023
Bibliographic Data
| ID | 15546232 |
|---|---|
| Authors | Teligeer Bao (0009-0000-0610-6699, corresponding author), Huaqiang Li (0009-0000-5827-9831), Yonghong Hao (0000-0003-0678-0389), Matthew Tom Harrison (0000-0001-7425-452X), Ke Liu (0009-0005-2667-6214), Ghulam Muhammad Ali (0000-0002-3886-6307), Gulnazar Ali (0009-0009-0658-9024) |
| Year | 2025 |
| Volume | 20 |
| Issue | 9 |
| Pages | 094051-094051 |
| Publication date | 2025-08-08 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environmental Research Letters (JOURNAL) |
| Journal identifiers | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Publisher | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/adf980 |
| OpenAlex | W4413123082 |
| Language | EN |
| Citations received | 1 |
| References cited | 63 |
Vegetation greening trends are a critical and direct indicator to reflect photosynthetic activity of plants at the ecosystem scale. The monitoring of vegetation greening is crucial for assessing ecosystem health, sustaining biodiversity, improving soil health, and providing direction for effective environmental management. However, long-term changes in greening trends are rarely reported due to radiometric inconsistencies among different satellite sensors. Here, we used 12 machine learning algorithms to perform pixel correction on 42 years of moderate resolution imaging spectroradiometer normalized difference vegetation index (NDVI) and GIMMS NDVI data. The models exhibited high accuracy (93%–97%), yielding a robust ensemble R 2 of 0.88 at the spatial scale. From 1982 to 2023, global NDVI had an increasing trend (0.0012), particularly in the high-latitude regions of the Northern Hemisphere (>60° N), with the rate of increase accelerating since 2000. Temperature and water conditions showed significant correlations with greening trends, exhibiting spatially asymmetric effects. In addition, frequent land cover changes promoted the growth of greening trends (∼23%), which is linked to enhanced structural plasticity of vegetation. This effect has become more pronounced since 2000, with 92% of such changes occurring during this period. Anthropogenic impact may play a role in driving greening trend reductions, rather than enhancements
Archaeology · Biology · Earth science · Ecosystem · Geography · Natural (archaeology · Physical geography · Vegetation (pathology · Environmental Science · Forest ecology and management · Plant Ecology and Soil Science · Ecology · Geology
Soil and human security in the 21st century
Learning representations by back-propagating errors
Characteristics, drivers and feedbacks of global greening
Extremely randomized trees
A Non-Stationary 1981–2012 AVHRR NDVI3g Time Series
The emergence of land change science for global environmental change and sustainability
Support-Vector Networks
Global effects of land use on local terrestrial biodiversity
Global land change from 1982 to 2016
Greedy function approximation
High-Resolution Global Maps of 21st-Century Forest Cover Change
Random Forests
Changes in growing season duration and productivity of northern vegetation inferred from long-term remote sensing data
Contrasting response of grassland versus forest carbon and water fluxes to spring drought in Switzerland
Earlier crop flowering caused by global warming alleviated by irrigation
China and India lead in greening of the world through land-use management
Improving acceptance of natural capital accounting in land use decision making
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |