期刊
GLOBAL ECOLOGY AND BIOGEOGRAPHY
卷 29, 期 12, 页码 2107-2118出版社
WILEY
DOI: 10.1111/geb.13180
关键词
canopy height; canopy structural complexity; diversity; leaf area index; LiDAR; National Ecological Observatory Network; NEON; phylogenetic diversity; richness; rugosity
资金
- Division of Emerging Frontiers [1550639, 1550650, 1550657]
- Division of Environmental Biology [1926538, 1926442]
- Direct For Biological Sciences
- Emerging Frontiers [1550639, 1550650] Funding Source: National Science Foundation
- Division Of Environmental Biology
- Direct For Biological Sciences [1926538] Funding Source: National Science Foundation
- Division Of Environmental Biology
- Direct For Biological Sciences [1926442] Funding Source: National Science Foundation
- Emerging Frontiers
- Direct For Biological Sciences [1550657] Funding Source: National Science Foundation
Aim Canopy structural complexity, which describes the degree of heterogeneity in vegetation density, is strongly tied to a number of ecosystem functions, but the community and structural characteristics that give rise to variation in complexity at site to subcontinental scales are poorly defined. We investigated how woody plant taxonomic and phylogenetic diversity, maximum canopy height, and leaf area index (LAI) relate to canopy rugosity, a measure of canopy structural complexity that is correlated with primary production, light capture, and resource-use efficiency. Location Our analysis used 122 plots distributed across 10 ecologically and climatically variable forests spanning a > 1,500 km latitudinal gradient within the National Ecological Observatory Network (NEON) of the USA. Time period 2016-2018. Taxa studied Woody plants. Methods We used univariate and multivariate modelling to examine relationships between canopy rugosity, and community and structural characteristics hypothesized to drive site and subcontinental variation in complexity. Results Spatial variation in canopy rugosity within sites and across the subcontinent was strongly and positively related to maximum canopy height (r(2) = .87 subcontinent-wide), with the addition of species richness in a multivariate model resolving another 2% of the variation across the subcontinent. Individually, woody plant species richness and phylogenetic diversity (r(2) = .17 to .44, respectively) and LAI (r(2) = .16) were weakly to moderately correlated with canopy rugosity at the subcontinental scale, and inconsistently explained spatial variation in canopy rugosity within sites. Main conclusions We conclude that maximum canopy height is a substantially stronger predictor of complexity than diversity or LAI within and across forests of eastern North America, suggesting that canopy volume places a primary constraint on the development of structural complexity. Management and land-use practices that encourage and sustain tall temperate forest canopies may support greater complexity and associated increases in ecosystem functioning.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据