Controls on long-term root and leaf litter decomposition in neotropical forests

期限(时间) 植物凋落物 垃圾箱 环境科学 分解 生态学 生物 植物 农林复合经营 林业 地理 生态系统 物理 量子力学
作者
DANIELA F. CUSACK,WENDY W. CHOU,WENDY H. YANG,MARK E. HARMON,WHENDEE L. SILVER
出处
期刊:Global Change Biology [Wiley]
卷期号:15 (5): 1339-1355 被引量:166
标识
DOI:10.1111/j.1365-2486.2008.01781.x
摘要

Litter decomposition represents one of the largest annual fluxes of carbon (C) from terrestrial ecosystems, particularly for tropical forests, which are generally characterized by high net primary productivity and litter turnover. We used data from the Long-Term Intersite Decomposition Experiment (LIDET) to (1) determine the relative importance of climate and litter quality as predictors of decomposition rates, (2) compare patterns in root and leaf litter decomposition, (3) identify controls on net nitrogen (N) release during decay, and (4) compare LIDETrates with native species studies across five bioclimatically diverse neotropical forests. Leaf and root litter decomposed fastest in the lower montane rain and moist forests and slowest in the seasonally dry forest. The single best predictor of leaf litter decomposition was the climate decomposition index (CDI), explaining 51% of the variability across all sites. The strongest models for predicting leaf decomposition combined climate and litter chemistry, and included CDI and lignin (R 2 50.69), or CDI, N and nonpolar extractives (R 2 50.69). While we found no significant differences in decomposition rates between leaf and root litter, drivers of decomposition differed for the two tissue types. Initial stages of decomposition, determined as the time to 50% mass remaining, were driven primarily by precipitation for leaf litter (R 2 50.93) and by temperature for root litter (R 2 50.86). The rate of N release from leaf litter was positively correlated with initial N concentrations; net N immobilization increased with decreasing initial N concentrations. This study demonstrates that decomposition is sensitive to climate within and across tropical forests. Our results suggest that climate change and increasing N deposition in tropical forests are likely to result in significant changes to decomposition rates in this biome.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
NiNi发布了新的文献求助10
1秒前
1秒前
2秒前
小糖使应助无敌猫猫王采纳,获得10
2秒前
2秒前
Yuqinglin发布了新的文献求助10
3秒前
无悔发布了新的文献求助10
3秒前
5秒前
敢问路在何方完成签到,获得积分10
7秒前
英姑应助zyyzyyoo采纳,获得10
7秒前
Sand发布了新的文献求助10
8秒前
英俊的铭应助zyyzyyoo采纳,获得10
8秒前
脑洞疼应助zyyzyyoo采纳,获得10
8秒前
英姑应助zyyzyyoo采纳,获得10
8秒前
在水一方应助zyyzyyoo采纳,获得10
8秒前
打打应助zyyzyyoo采纳,获得10
8秒前
qikkk应助七秒鱼采纳,获得10
8秒前
大个应助zyyzyyoo采纳,获得10
8秒前
完美世界应助zyyzyyoo采纳,获得10
8秒前
8秒前
wanci应助zyyzyyoo采纳,获得10
8秒前
Min完成签到,获得积分10
11秒前
Owen应助xiaopacai采纳,获得10
13秒前
烂漫的诗蕊完成签到,获得积分10
13秒前
Laskujgkjbvg发布了新的文献求助10
13秒前
酷波er应助CHEN采纳,获得10
14秒前
15秒前
李爱国应助薄雪草采纳,获得10
15秒前
15秒前
16秒前
20秒前
20秒前
Sand完成签到,获得积分10
22秒前
fengzi151完成签到,获得积分10
22秒前
胡萝卜完成签到,获得积分10
23秒前
高挑的天问完成签到,获得积分10
23秒前
SciGPT应助张宇采纳,获得10
24秒前
shaohua2011发布了新的文献求助10
26秒前
科研通AI6.2应助白门小强采纳,获得30
26秒前
Xi发布了新的文献求助10
27秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
Variations: A More Diverse Picture of Contemporary Art 400
Induction Heating and Heat Treatment (ASM Handbook, Volume 4C) 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7589462
求助须知:如何正确求助?哪些是违规求助? 9167240
关于积分的说明 19621448
捐赠科研通 7169105
什么是DOI,文献DOI怎么找? 3267121
关于科研通互助平台的介绍 2432050
邀请新用户注册赠送积分活动 2259340