Environmental controls on canopy foliar nitrogen distributions in a Neotropical lowland forest

被引:24
作者
Balzotti, Christopher S. [1 ]
Asner, Gregory P. [1 ]
Taylor, Philip G. [2 ]
Cleveland, Cory C. [3 ]
Cole, Rebecca [4 ]
Martin, Roberta E. [1 ]
Nasto, Megan [3 ]
Osborne, Brooke B. [5 ]
Porder, Stephen [5 ]
Townsend, Alan R. [2 ]
机构
[1] Carnegie Inst Sci, Dept Global Ecol, Stanford, CA 94305 USA
[2] Duke Univ, Nicholas Sch Environm, Durham, NC 27708 USA
[3] Univ Montana, Dept Ecosyst & Conservat Sci, Missoula, MT 59812 USA
[4] Univ Hawaii Manoa, Dept Nat Resources & Environm Management, Honolulu, HI 96822 USA
[5] Brown Univ, Dept Ecol & Evolutionary Biol, Providence, RI 02912 USA
基金
美国国家科学基金会;
关键词
Carnegie Airborne Observatory; gradient boosting; hyperspectral; light detection and ranging; Osa Peninsula; Costa Rica; topography; partial least squares regression; MONTANE RAIN-FOREST; NET PRIMARY PRODUCTIVITY; ECOSYSTEM STRUCTURE; CHEMICAL TRAITS; MOUNT-KINABALU; SOIL; GRADIENT; PHOSPHORUS; CLIMATE; GROWTH;
D O I
10.1002/eap.1408
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Distributions of foliar nutrients across forest canopies can give insight into their plant functional diversity and improve our understanding of biogeochemical cycling. We used airborne remote sensing and partial least squares regression to quantify canopy foliar nitrogen (foliar N) across similar to 164 km(2) of wet lowland tropical forest in the Osa Peninsula, Costa Rica. We determined the relative influence of climate and topography on the observed patterns of foliar N using a gradient boosting model technique. At a local scale, where climate and substrate were constant, we explored the influence of slope position on foliar N by quantifying foliar N on remnant terraces, their adjacent slopes, and knife-edged ridges. In addition, we climbed and sampled 540 trees and analyzed foliar N in order to quantify the role of species identity (phylogeny) and environmental factors in predicting foliar N. Observed foliar N heterogeneity reflected environmental factors working at multiple spatial scales. Across the larger landscape, elevation and precipitation had the highest relative influence on predicting foliar N (30% and 24%), followed by soils (15%), site exposure (9%), compound topographic index (8%), substrate (6%), and landscape dissection (6%). Phylogeny explained similar to 75% of the variation in the field collected foliar N data, suggesting that phylogeny largely underpins the response to the environmental factors. Taken together, these data suggest that a large fraction of the variance in foliar N across the landscape is proximately driven by species composition, though ultimately this is likely a response to abiotic factors such as climate and topography. Future work should focus on the mechanisms and feedbacks involved, and how shifts in climate may translate to changes in forest function.
引用
收藏
页码:2449 / 2462
页数:14
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