Scholarlink

<p>This study extends the Hi-sAFe agroforestry model by incorporating the effects of elevated atmospheric CO<sub>2</sub> on tree growth. Hi-sAFe is a process-based biophysical model that represents tree–crop interactions, but until now lacked a mechanism to simulate CO<sub>2</sub>-driven physiological responses of trees. We introduced CO<sub>2</sub> sensitivity into the Light Use Efficiency (LUE) module and simulated the growth of <i>Juglans nigra</i> (black walnut) under current and future climate conditions (550&#xa0;ppm CO<sub>2</sub>, + 3&#xa0;°C, − 10% precipitation). Elevated CO<sub>2</sub> increased tree height, diameter and root development in both forestry and agroforestry systems, but responses were stronger and more persistent in forestry. In agroforestry, CO<sub>2</sub> effects were more variable over time and were strongly modulated by competition with crops, while belowground responses indicated greater root system plasticity. Climate change reduced tree growth in both systems, but CO<sub>2</sub> partially offset these effects, particularly in forestry. These results demonstrated the importance of explicitly representing CO<sub>2</sub> fertilisation in agroforestry models to realistically capture vegetation–climate interactions and assess the resilience of tree–crop systems under global change.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Simulating tree responses to elevated CO2 and climate change in agroforestry system

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年6月27日

查看全文
  • Mubarak Mahmud,
  • Marie Gosme,
  • Isabelle Lecomte,
  • Nicolas Barbault,
  • Christian Dupraz,
  • Nicolas Delpierre,
  • Stéphane Bazot,
  • Laure Barthes,
  • Paul Leadley

摘要

This study extends the Hi-sAFe agroforestry model by incorporating the effects of elevated atmospheric CO2 on tree growth. Hi-sAFe is a process-based biophysical model that represents tree–crop interactions, but until now lacked a mechanism to simulate CO2-driven physiological responses of trees. We introduced CO2 sensitivity into the Light Use Efficiency (LUE) module and simulated the growth of Juglans nigra (black walnut) under current and future climate conditions (550 ppm CO2, + 3 °C, − 10% precipitation). Elevated CO2 increased tree height, diameter and root development in both forestry and agroforestry systems, but responses were stronger and more persistent in forestry. In agroforestry, CO2 effects were more variable over time and were strongly modulated by competition with crops, while belowground responses indicated greater root system plasticity. Climate change reduced tree growth in both systems, but CO2 partially offset these effects, particularly in forestry. These results demonstrated the importance of explicitly representing CO2 fertilisation in agroforestry models to realistically capture vegetation–climate interactions and assess the resilience of tree–crop systems under global change.