干旱区生态环境知识资源中心(Arid): Accounting for non-rainfall moisture and temperature improves litter decay model performance in a fog-dominated dryland system

Arid

DOI	10.5194/bg-19-4129-2022
	Accounting for non-rainfall moisture and temperature improves litter decay model performance in a fog-dominated dryland system
	Logan, J. Robert; Todd-Brown, Kathe E.; Jacobson, Kathryn M.; Jacobson, Peter J.; Vogt, Roland; Evans, Sarah E.
通讯作者	Logan, JR
来源期刊	BIOGEOSCIENCES
ISSN	1726-4170
EISSN	1726-4189
出版年	2022
卷号	19 期号:17 页码:4129-4146
英文摘要	Historically, ecosystem models have treated rainfall as the primary moisture source driving litter decomposition. In many arid and semi-arid lands, however, non-rainfall moisture (fog, dew, and water vapor) plays a more important role in supporting microbial activity and carbon turnover. To date though, we lack a robust approach for modeling the role of non-rainfall moisture in litter decomposition. We developed a series of simple litter decay models with different moisture sensitivity and temperature sensitivity functions to explicitly represent the role of non-rainfall moisture in the litter decay process. To evaluate model performance, we conducted a 30-month litter decomposition study at 6 sites along a fog and dew gradient in the Namib desert, spanning almost an eightfold difference in non-rainfall moisture frequency. Litter decay rates in the field correlated with fog and dew frequencies but not with rainfall. Including either temperature or non-rainfall moisture sensitivity functions improved model performance, but the combination of temperature and moisture sensitivity together provided more realistic estimates of litter decomposition than relying on either alone. Model performance was similar regardless of whether we used continuous moisture sensitivity functions based on relative humidity or a simple binary function based on the presence of moisture, although a Gaussian temperature sensitivity outperformed a monotonically increasing Q(10) temperature function. We demonstrate that explicitly modeling non-rainfall moisture and temperature together is necessary to accurately capture litter decay dynamics in a fog-affected dryland system and provide suggestions for how to incorporate non-rainfall moisture into existing Earth system models.
类型	Article
语种	英语
开放获取类型	gold, Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000850193200001
WOS关键词	RELATIVE-HUMIDITY ; SOIL-MOISTURE ; SURFACE LITTER ; DECOMPOSITION ; PATTERNS ; CARBON ; PHOTODEGRADATION ; ECOSYSTEM ; RELEASE ; RATES
WOS类目	Ecology ; Geosciences, Multidisciplinary
WOS研究方向	Environmental Sciences & Ecology ; Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/391972
推荐引用方式 GB/T 7714	Logan, J. Robert,Todd-Brown, Kathe E.,Jacobson, Kathryn M.,et al. Accounting for non-rainfall moisture and temperature improves litter decay model performance in a fog-dominated dryland system[J],2022,19(17):4129-4146.
APA	Logan, J. Robert,Todd-Brown, Kathe E.,Jacobson, Kathryn M.,Jacobson, Peter J.,Vogt, Roland,&Evans, Sarah E..(2022).Accounting for non-rainfall moisture and temperature improves litter decay model performance in a fog-dominated dryland system.BIOGEOSCIENCES,19(17),4129-4146.
MLA	Logan, J. Robert,et al."Accounting for non-rainfall moisture and temperature improves litter decay model performance in a fog-dominated dryland system".BIOGEOSCIENCES 19.17(2022):4129-4146.