How climatic, edaphic, and biotic drivers collectively govern large-scale grassland biomass allocation

Clicks: 26
ID: 328619
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #21 of 151 articles by views in journal of plant ecology

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 151 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Abstract The pattern of vegetation biomass allocation is a key mechanism for understanding the carbon sequestration function of grassland ecosystems and their responses to global change. By integrating multi-scale observations and global datasets, this study applied extreme gradient boosting (XGBoost) and used SHapley Additive exPlanations (SHAP) to quantify variable importance and partial dependence across environmental gradients, revealing how climatic, edaphic, and biological factors synergistically regulate large-scale grassland biomass allocation, and produced a global dataset at 0.05° spatial resolution. The XGBoost model estimated mean values of 282.05 ± 98.57 g m−2 for aboveground biomass (AGB), 999.71 ± 264.17 g m−2 for belowground biomass (BGB), and 6.41 ± 2.25 for root-to-shoot ratio (RS) at global-scale, all of which exhibited distinct spatial distribution patterns. Under water-limited conditions, plants adopted a root plasticity prioritized strategy; rising temperatures promote AGB but suppress BGB, while increased precipitation mainly promoted AGB. Species with high specific leaf area (SLA) did not substantially enhance AGB, whereas those with low SLA invested more in root development to cope with environmental stress. In near-neutral soils, BGB increased with rising pH, and moderate levels of exchangeable magnesium were beneficial to AGB. Our findings demonstrate that grassland biomass allocation represents an adaptive outcome of resource trade-offs and physiological plasticity under multifactorial stress. These insights provide an important theoretical foundation for optimizing carbon sequestration functions and guiding sustainable management of grasslands in the context of global change.
Reference Key
openalex_W7213443731 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors
Journal journal of plant ecology
Year 2026
DOI
10.1093/jpe/rtag228
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.