Interpretable Machine Learning Reveals Global Nonlinear Responses of Soil Respiration to Climate
Abstract Soil respiration (Rs) is a major component of the global carbon cycle, yet its responses to environmental drivers remain poorly constrained. Using 8,111 observations and a SHAPâinterpreted Random Forest model, we identified global response patterns for key environmental drivers of Rs.
Benjamin Laffitte +4 more
wiley +1 more source
Increasing CO<sub>2</sub> levels fertilize C<sub>4</sub> grass production. [PDF]
Simpson KJ +10 more
europepmc +1 more source
The role of functional native herbage in improving community stability: evidence from a grazing and nitrogen addition experiment in an alpine meadow of Qinghai-Xizang Plateau. [PDF]
Li L +8 more
europepmc +1 more source
Drought intensity shifts the roles of dominant species traits and species diversity on productivity resistance in arid grasslands. [PDF]
Hao F +10 more
europepmc +1 more source
Improving carbon modeling in aspen-dominated forests: Lessons from CBM-CFS3 evaluation against long-term field data. [PDF]
Lau N +3 more
europepmc +1 more source
Carbon stock, fluxes, and partitioning in Pinus taeda plantations are affected by genetic variation and stand density in Southeast Brazil. [PDF]
Campoe OC +8 more
europepmc +1 more source
Synergistic Effects of Maize Growth and Soil Respiration on Yield Under Tillage Regime Conversion. [PDF]
Lu J +6 more
europepmc +1 more source
Divergent resource limitations of belowground versus aboveground productivity across grasslands. [PDF]
Li T +11 more
europepmc +1 more source
Ecotypic Identity and Manipulated Rainfall Modulate Diversity-Productivity Relationships Across a Precipitation Gradient. [PDF]
Ren Z +6 more
europepmc +1 more source

