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Anvil clouds over the Amazon casting shadows on the green surface below. Photo taken from the ISS, space visible beyond the planet at the top of the image.

Anvil clouds over the Amazon, captured from the vantage point of the ISS.

Credit: . Image number ISS042-E-215303 from the International Space Station. Credit: Earth Science and Remote Sensing Unit, NASA Johnson

Aryaman Gupta

Graduate Student

Research theme

  • Biological physics
  • Climate physics

Sub department

  • Atmospheric, Oceanic and Planetary Physics

Research groups

  • Climate processes
aryaman.gupta@magd.ox.ac.uk
  • About
  • Publications

Distinguishing short鈥恡erm versus long鈥恡erm responses in cover鈥恈lass structured community dynamics: a test with grassland drought response

Ecology Letters Wiley 28:8 (2025) e70182

Authors:

Aryaman Gupta, Samuel Gascoigne, Gy枚rgy Barab谩s, Benjamin Wong Blonder, Man Qi, Erola Fenollosa Romani, Rachael Thornley, Christina Hernandez, Andrew Hector, Roberto Salguero-G贸mez

Abstract:

Climate change is increasing the magnitude and frequency of precipitation extremes. Consequently, grassland community dynamics are destabilising and becoming harder to predict since models typically simulate long-term (asymptotic) behaviour, potentially neglecting short-term (transient) behaviour. Here, we use cover data from an experiment performed over 8鈥墆ears to model short- and long-term responses of three functional groups (grasses, legumes, and non-leguminous forbs) to precipitation extremes. We use Integral Projection Models (IPMs) and pseudospectral theory to track transient grassland community dynamics driven by response lags and interannual shifts. We show that the cover-class structure and inter-cover-class interactions of functional groups make them transiently unstable but asymptotically stable, that is, disturbances are initially amplified before eventually dissipating. We also show that grasses dominate under irrigation, while legumes and forbs dominate under drought. We demonstrate that the pseudospectra of IPMs enable computationally and data-wise inexpensive assessment of whether transient dynamics drive community responses to disturbances.

Variation in precipitation drives differences in interactions and short-term transient instability between grassland functional groups: a stage-structured community approach

Authors:

Aryaman Gupta, Samuel Gascoigne, Gy枚rgy Barab谩s, Man Qi, Erola Fenollosa, Rachael Thornley, Christina Hernandez, Andy Hector, Roberto Salguero-G贸mez

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