Simulating environmentally‐sensitive tree recruitment in vegetation demographic models
Simulating environmentally‐sensitive tree recruitment in vegetation demographic models
复制标题
在植被人口统计模型中模拟环境敏感树木的补充
DOI：
10.1111/nph.18059
复制
发表时间：
2022
期刊：
影响因子：
9.4
通讯作者：
Kueppers, Lara M.
中科院分区：
文献类型：
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作者：
Hanbury‐Brown, Adam R.;Powell, Thomas L.;Muller‐Landau, Helene C.;Wright, S. Joseph;Kueppers, Lara M.
植被人口模型（VDMs）奋进于预测全球森林将如何应对气候变化。这需要模拟哪些树木，如果有的话，能够在不断变化的环境条件下招募。我们提出了一个新的补充方案，其中特定功能类型的补充率是敏感的光，土壤水分和繁殖trees.We生产力的预测树补充四个热带树木功能类型下不同的气象和冠层结构在巴罗科罗拉多岛，巴拿马的树木补充计划进行评估。我们将预测结果与当前的VDM、定量观测和生态期望进行比较，发现该方案提高了功能类型之间的招募率的大小和排序，并捕捉了林下光照变化时的招募限制，我们的研究结果表明，采用这一框架将提高VDM预测功能类型特定树木补充响应气候的能力这将有助于改善对未来森林分布、组成和功能的预测。
Vegetation demographic models (VDMs) endeavor to predict how global forests will respond to climate change. This requires simulating which trees, if any, are able to recruit under changing environmental conditions. We present a new recruitment scheme for VDMs in which functional‐type‐specific recruitment rates are sensitive to light, soil moisture and the productivity of reproductive trees.We evaluate the scheme by predicting tree recruitment for four tropical tree functional types under varying meteorology and canopy structure at Barro Colorado Island, Panama. We compare predictions to those of a current VDM, quantitative observations and ecological expectations.We find that the scheme improves the magnitude and rank order of recruitment rates among functional types and captures recruitment limitations in response to variable understory light, soil moisture and precipitation regimes.Our results indicate that adopting this framework will improve VDM capacity to predict functional‐type‐specific tree recruitment in response to climate change, thereby improving predictions of future forest distribution, composition and function.