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Dryad

Data from: Biotic and abiotic modifications of leaf litter during dry periods affect litter mass loss and nitrogen loss during wet periods

Data files

Nov 10, 2018 version files 113 KB

Abstract

1. Decomposition of organic matter in semiarid ecosystems is a key component of the terrestrial carbon (C) cycle. The well-known inaccuracies in predicting litter decay in water-limited regions were lessened by considering solar radiation as an abiotic decay driver of photodegradation. Moreover, exposure to high solar irradiance in dry periods often led to massive facilitation of litter decay in subsequent wet periods (“photoacceleration”), though in many studies this effect was absent. 2. Recently, water vapor and dew were identified as modulators enabling substantial microbial degradation during rainless periods. Here we asked, (i) if the activity of microorganisms modifies litter traits, such as litter quality and microbial community in dry periods, consequently altering the loss of litter mass and nitrogen (N) in wet periods, and (ii) whether it can co-occur with photoacceleration. 3. By successively introducing litter to the field at the beginning and the end of the dry season, we found that microbial activity during the dry season affected litter mass and N loss during the wet season. Low microbial activity in the dry season led to inhibition of mass loss in the wet season, while high microbial activity led to facilitation of mass loss. Microbial activity during the dry season also caused strong inhibition of N loss from litter during the wet season, likely by enhancing the dry-season N loss. A microclimate manipulation experiment using radiation filters showed that microbial activity and exposure to solar radiation jointly modified the litter during the dry season and affected subsequent decay in the wet season. 4. Knowledge of biotic and abiotic modifications of litter during dry periods and their implication for wet periods enhances our understanding of litter decay in semiarid regions. Furthermore, it can improve biogeochemical model predictions of C and N cycling in