Paddock Tree Arrangement and Pasture Photosynthetic Heat Tolerance in a Temperate Tree-Pasture Grazing System Under Climate Change Scenarios

Abigail Addo-Danso, Paul Kristiansen, Mukund P. Rao, Brian R. Wilson, Onoriode Coast
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Abstract

Climate change and associated extreme heat events threaten productivity in agricultural systems. Integrating trees into grazing/pasture systems has the potential to enhance resilience to warming. However, the extent to which tree cover can buffer the impacts of climate change on pasture species is unclear. We examined how tree density and spatial configuration influence leaf nitrogen content, specific leaf area, and photosynthetic heat tolerance (Tcrit) of dominant pasture species in a temperate Australian landscape. Traits were assessed across fine-scale spatial gradients from individual trees under different structural configurations. Future thermal safety margins (TSMs) were projected under two climate emission scenarios—the best-case scenario (SSP1-2.6) and the worst-case scenario (SSP5-8.5) using 28 earth system models. While leaf nitrogen varied with tree spatial configuration, Tcrit and TSMs remained largely conserved. Projected warming substantially reduced TSMs without exceeding thermal thresholds, suggesting limited physiological capacity for heat tolerance adjustment. These results highlight the constrained role of tree cover in buffering climate impacts on pasture species and the need for broader adaptation strategies in agricultural systems.

Abstract Image

气候变化情景下温带乔木放牧系统中围场树木排列与牧草光合耐热性
气候变化和相关的极端高温事件威胁着农业系统的生产力。将树木纳入放牧/牧场系统有可能增强对变暖的抵御能力。然而,树木覆盖在多大程度上可以缓冲气候变化对牧场物种的影响尚不清楚。我们研究了在澳大利亚温带景观中,树木密度和空间配置如何影响优势牧草物种的叶片氮含量、比叶面积和光合耐热性(Tcrit)。在不同的结构配置下,通过个体树的精细尺度空间梯度来评估性状。利用28个地球系统模型预估了两种气候排放情景下的未来热安全边际(TSMs)——最佳情景(SSP1-2.6)和最坏情景(SSP5-8.5)。叶片氮素随树木空间构型的变化而变化,但Tcrit和TSMs基本保持保守。预估的变暖在不超过热阈值的情况下显著降低了TSMs,这表明热耐受性调节的生理能力有限。这些结果强调了树木覆盖在缓冲气候对牧场物种影响方面的有限作用,以及在农业系统中需要更广泛的适应策略。
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