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Seed source pattern and terrain have scale-dependent effects on post-fire tree recovery
Landscape Ecology ( IF 5.2 ) Pub Date : 2020-07-21 , DOI: 10.1007/s10980-020-01071-z
Jamie L. Peeler , Erica A. H. Smithwick

Distance to seed source is often used to estimate seed dispersal—a process needed for post-fire tree recovery. However, distance, especially in mountainous terrain, does not capture pattern or scale-dependent effects controlling seed supply and delivery. Measuring seed source pattern (area and arrangement) could provide insights on how these spatial dynamics shape recovery. We tested metrics and investigated how seed source pattern, tree regeneration traits, scale, and terrain interact to shape post-fire tree recovery. Our research questions were: Does seed source pattern outperform distance when modeling tree species presence and regeneration density? If yes, does seed source pattern have scale-dependent or terrain-dependent effects on regeneration density? We measured seed source pattern at nested spatial extents around 71 plots and related measurements to local post-fire tree recovery. We used generalized linear models to test metrics and visualize scale-dependent and terrain-dependent effects on regeneration density. Distance sufficiently modeled presence, but seed source pattern outperformed distance when modeling regeneration density. Relevant spatial extents and relationships were species-dependent. For wind-dispersed species, regeneration was associated with more seed source area and more complex arrangements, but terrain mediated these relationships. For serotinous and resprouting species, regeneration was associated with less seed source area and less complex arrangements, which are consistent with high-severity burn sites that promote recovery. Seed source pattern supports spatial resilience and interacts with scale and terrain to shape regeneration density. Accounting for these spatial dynamics could help steward forests facing changing fire regimes.

中文翻译:

种子来源模式和地形对火灾后的树木恢复具有比例依赖性影响

到种子源的距离通常用于估计种子传播——这是火灾后树木恢复所需的过程。然而,距离,尤其是在山区,不能捕捉控制种子供应和交付的模式或规模相关效应。测量种子源模式(面积和排列)可以提供有关这些空间动态如何塑造恢复的见解。我们测试了指标并研究了种子源模式、树木再生特征、规模和地形如何相互作用以塑造火灾后树木恢复。我们的研究问题是:在模拟树种存在和再生密度时,种子源模式是否优于距离?如是,种子源模式对再生密度是否具有尺度相关或地形相关的影响?我们在 71 个地块周围的嵌套空间范围内测量了种子源模式,并测量了与当地火灾后树木恢复的相关测量值。我们使用广义线性模型来测试指标并可视化规模相关和地形相关对再生密度的影响。距离充分模拟了存在,但在模拟再生密度时,种子源模式优于距离。相关的空间范围和关系取决于物种。对于风散物种,再生与更多的种子源区和更复杂的排列有关,但地形调节了这些关系。对于含血清和重新发芽的物种,再生与较少的种子来源面积和较不复杂的排列有关,这与促进恢复的高严重烧伤地点一致。种子源模式支持空间弹性并与尺度和地形相互作用以塑造再生密度。考虑到这些空间动态可以帮助管理面临不断变化的火灾状况的森林。
更新日期:2020-07-21
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