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Canopy Interception for a Tallgrass Prairie under Juniper Encroachment.

Chris B Zou1, Giulia L Caterina1,2, Rodney E Will1

  • 1Department of Natural Resource Ecology & Management, Oklahoma State University, Stillwater, OK 74078, United States of America.

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Redcedar trees and tallgrass prairie show similar annual rainfall interception, despite differences in how canopies redistribute water. Juniper encroachment alters patterns but not total interception.

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Area of Science:

  • Ecohydrology
  • Forest Ecology
  • Plant Physiology

Background:

  • Rainfall partitioning by canopies is crucial for ecosystem water dynamics.
  • Juniper (Juniperus virginiana, redcedar) encroachment alters Great Plains ecosystems.
  • Understanding rainfall redistribution is key to predicting ecosystem responses to climate change.

Purpose of the Study:

  • Quantify and contrast spatial and temporal rainfall redistribution in juniper woodlands and tallgrass prairie.
  • Investigate the impact of redcedar stand density and size on rainfall partitioning.
  • Assess changes in rainfall interception due to redcedar encroachment.

Main Methods:

  • Field measurements of rainfall partitioning (throughfall, stemflow, interception).
  • Comparison of canopy storage capacity (S) and funneling ratios (F) across different redcedar stand types and sizes.
  • Assessment of temporal variations in tallgrass prairie interception.

Main Results:

  • Redcedar canopies exhibited high storage capacity (2.14–3.44 mm), with smaller trees/open stands favoring stemflow.
  • Tallgrass prairie interception showed high temporal variability (0.27–3.86 mm).
  • Annual rainfall interception loss was similar between redcedar and tallgrass prairie, indicating convergence.

Conclusions:

  • Redcedar encroachment alters rainfall redistribution patterns spatially and temporally but not total interception.
  • Different canopy structures show similar interception ratios under the same precipitation regime.
  • Changes in rainfall interception due to juniper encroachment are vital for understanding climate change impacts on regional hydrology.