Forest Ecology and Management, Journal Year: 2025, Volume and Issue: 586, P. 122717 - 122717
Published: April 21, 2025
Language: Английский
Forest Ecology and Management, Journal Year: 2025, Volume and Issue: 586, P. 122717 - 122717
Published: April 21, 2025
Language: Английский
Global Change Biology, Journal Year: 2023, Volume and Issue: 29(16), P. 4569 - 4585
Published: March 7, 2023
Biodiversity is essential for maintaining the terrestrial ecosystem multifunctionality (EMF). Recent studies have revealed that variations in functions are captured by three key axes: maximum productivity, water use efficiency, and carbon efficiency of ecosystem. However, role biodiversity supporting these axes has not yet been explored. In this study, we combined (i) data collected from more than 840 vegetation plots across a large climatic gradient China using standard protocols, (ii) on plant traits phylogenetic information 2,500 species, (iii) soil nutrient measured each plot. These were used to systematically assess contribution environmental factors, species richness, functional diversity, community-weighted mean (CWM) (i.e., intensity normalized per unit land area) EMF via hierarchical partitioning Bayesian structural equation modeling. Multiple attributes accounted 70% influence all variables EMF, ecosystems with high diversity had resource efficiency. Our study first explore different attributes, including CWM traits, functions. findings underscore conservation critical sustaining ultimately ensuring human well-being.
Language: Английский
Citations
45Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 471, P. 143381 - 143381
Published: Aug. 11, 2024
Language: Английский
Citations
22The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 881, P. 163416 - 163416
Published: April 12, 2023
Language: Английский
Citations
32Carbon Research, Journal Year: 2023, Volume and Issue: 2(1)
Published: May 4, 2023
Abstract Globally, livestock grazing is an important management factor influencing soil degradation, health and carbon (C) stocks of grassland ecosystems. However, the effects types, intensity duration on C are unclear across large geographic scales. To provide a more comprehensive assessment how drives ecosystem in grasslands, we compiled analyzed data from 306 studies featuring four types China: desert steppes, typical meadow steppes alpine steppes. Light was best practice for (< 2 sheep ha −1 ) (3 to 4 ), whereas medium pressure optimal (5 6 (7 8 leading highest under grazing. Plant biomass (desert steppes) (meadow increased light or grazing, confirming ‘ intermediate disturbance hypothesis ’. Heavy decreased all regardless approximately 1.4 Mg per year whole ecosystem. The regrowth regeneration grasslands response (i.e., optimization depended duration. In conclusion, double-edged sword. On one hand, proper (light grazing) can maintain even increase above- belowground, harvested products grasslands. other human-induced overgrazing lead rapid degradation vegetation soils, resulting significant loss requiring long-term recovery. Grazing regimes applied) must consider specific characteristics ensure stable productivity rates impacts stocks. Graphical
Language: Английский
Citations
26Communications Biology, Journal Year: 2023, Volume and Issue: 6(1)
Published: March 3, 2023
Abstract Quantifying and predicting variation in gross primary productivity (GPP) is important for accurate assessment of the ecosystem carbon budget under global change. Scaling traits to community scales functions (i.e., GPP) remain challenging, while it promising well appreciated with rapid development trait-based ecology. In this study, we aim integrate multiple plant recently developed (TBP) theory, verify via Bayesian structural equation modeling (SEM) complementary independent effect analysis. We further distinguish relative importance different explaining GPP. apply TBP theory based on a multi-trait dataset containing more than 13,000 measurements approximately 2,500 species Chinese forest grassland systems. Remarkably, our SEM accurately predicts annual monthly GPP across China (R 2 values 0.87 0.73, respectively). Plant play key role. This study shows that integrating functional into strengthens quantification variability advances understanding trait-productivity relationship. Our findings facilitate integration growing trait data future ecological models.
Language: Английский
Citations
24Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 102, P. 105229 - 105229
Published: Jan. 23, 2024
Language: Английский
Citations
10Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 102996 - 102996
Published: Jan. 1, 2025
Language: Английский
Citations
1Field Crops Research, Journal Year: 2022, Volume and Issue: 291, P. 108770 - 108770
Published: Nov. 30, 2022
Language: Английский
Citations
30Field Crops Research, Journal Year: 2023, Volume and Issue: 306, P. 109204 - 109204
Published: Dec. 2, 2023
Language: Английский
Citations
22Soil and Tillage Research, Journal Year: 2023, Volume and Issue: 236, P. 105943 - 105943
Published: Nov. 7, 2023
Language: Английский
Citations
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