基于功能性状研究极端干旱对北方风沙区人工固沙灌木林群落稳定性的影响

人工固沙灌木林在我国北方风沙区生态建设中发挥着重要作用，但近年来频发的极端干旱事件对其稳定性造成严重威胁。多大强度以及哪种类型的极端干旱事件会影响人工固沙灌木林的稳定性，固沙灌木林响应极端干旱的过程如何，能否前瞻性的预测其对极端干旱的抵抗力和恢复力，这些都是防风固沙植被管理中亟待解决的关键问题。本研究以我国北方典型风沙区科尔沁沙地的优势人工固沙灌木林为对象，通过模拟极端干旱控制实验，研究极端干旱下及干旱解除后固沙灌木林中优势植物种群动态、初级生产力、主要植物功能性状和群落水平性状加权的变异性，分析极端干旱下固沙灌木林主要植物的种群动态与植物功能性状的关系，确定环境因素、群落结构、植物功能性状、群落水平性状加权等因素与极端干旱下群落抵抗力及干旱解除后群落恢复力的多因素关系，揭示人工固沙灌木群落稳定性对极端干旱事件的响应过程及其机制，为北方半干旱风沙区人工固沙灌木林的适应性管理提供理论支持。

Artificial sand-fixing shrub forest, a kind of shelter forest to fix moving sand in arid and semiarid sandy regions, play an important role in regional ecological restoration and protection. However, frequently occurred extreme drought in recent years severely affected community stability of artificial sand-fixing shrub forest in semi-arid region. At present, it’s essential to determine which types and intensities of extreme drought events will affect the stability of artificial sand-fixing shrubs, how the sand-fixing shrubs respond to extreme droughts, and whether we can predict their resistance and resilience to extreme droughts. In this project, we will firstly study the susceptibility of shrub and herbaceous plant in shrub forest community to manipulated extreme drought in Kerqin Sand Land, and analyze the response of community structure, species diversity, plant functional traits, community-scale weighted traits and primary productivity to extreme drought events. Subsequently, the resistance and recovery in artificial sand-fixing shrub forest to extreme drought will be determined. Finally, the contribution of environment elements, dominance of shrub and herbs, species diversity, and community-scale weighted traits to the change of the resistance and recovery in artificial sand-fixing shrub forest will be detected to reveal the mechanism of community stability of sand-fixing shrub forest. The study will supply experimental data to understanding the response of artificial vegetation to extreme drought, and consequently help to make proper decision in management of artificial sand-fixing shrub forest in semi-arid region under future climate.