塞勒姆模拟器版本2.0:用于预测纯森林和混合森林的生产力,并模拟管理操作的工具
Raphaël Aussenac1, Thomas Pérot2, Mathieu Fortin3
1Univ. Grenoble Alpes, INRAE, LESSEM, 2 rue de la Papeterie-BP 76, St-Martin-d'Hères, F-38402, France.
Open research Europe
|August 30, 2023
概括
与纯种森林相比,混合物种森林种群通常表现出更高的生产力和弹性. 塞勒姆模拟器有助于森林管理人员评估混合树林对提高森林生产力的好处.
科学领域:
- 林业科学 林业科学
- 生态生态学 生态生态学
- 计算建模计算建模
背景情况:
- 混合种群的种群通常比单一种植具有更高的生产力和稳定性.
- 物种混合的好处取决于特定的物种组成和环境因素.
- 森林管理需要工具来评估物种多样性对种群生产力的影响.
研究的目的:
- 介绍萨勒姆模拟器,这是一个决策支持工具,用于评估从纯森林转移到混合森林的生产力效益.
- 为了使森林管理者,利益相关者和决策者能够比较各种纯种和混合种群配置的生产率.
- 为了研究目的,促进虚拟实验,并回答有关森林动态的关键问题.
主要方法:
- 萨勒姆模拟器的开发,该模拟器预测了同等年龄的纯种和混合种群的动态,并结合了管理操作.
- 对于12种常见的欧洲树种,纯树生长的参数化.
- 评估混合物对24个物种对的物种生长的影响,利用国家森林库存数据分析.
主要成果:
- 发现物种混合在大多数情况下会增加生长,特别是在不太肥沃的土地上.
- 塞勒姆模拟器允许比较36个不同的纯和混合站场景.
- 单个特定物种模型 (生长,树皮,直径分布,体积) 可独立于模拟器.
结论:
- 塞勒姆模拟器为森林管理人员提供了一种有价值的工具,以评估混合物种群的生产力增长.
- 混合物种林业可以提高森林的生产力,特别是在具有挑战性的环境条件下.
- 塞勒姆的开源和用户友好性质促进了其在实际管理和科学研究中的采用.
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