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Aggregate mesquite litter mass following soil-litter mixing and decomposition in a semi-arid grassland from 2010-2012

Mesquite litter mass loss from decomposition associated with soil-litter mixing.   Decomposition models typically under-predict decomposition relative to observed rates in drylands. This discrepancy indicates a significant gap in our mechanistic understanding of carbon and nutrient cycling in these systems. Recent research suggests that certain drivers of decomposition that are often not explicitly incorporated into models (e.g., photodegradation and soil-litter mixing; SLM) may be important in drylands, and their exclusion may, in part, be responsible for model under-predictions. To assess the role of SLM, litterbags were deployed in the Chihuahuan Desert and interrelationships between vegetation structure, SLM, and rates of decomposition were quantified. Vegetation structure was manipulated to simulate losses of grass cover from livestock grazing and shrub encroachment. I hypothesized that reductions in grass cover would promote SLM and accelerate mass loss by improving conditions for microbial decomposition.     For more see: Hewins, D. B., S. R. Archer, G. S. Okin, R. L. McCulley, and H. L. Throop. 2013. Soil-litter mixing accelerates decomposition in a Chihuahuan Desert grassland. Ecosystems 16:183-195

FieldValue
Tags
Modified
2019-08-05
Release Date
2015-10-05
Identifier
knb-lter-jrn.210301002.29
Spatial / Geographical Coverage Area
POINT (-106.74099731445 32.617000579834)
Temporal Coverage
April 10, 2018
License
Creative Commons Attribution
Contact Name
Jornada Basin LTER
Contact Email
Public Access Level
Public
Program Code
005:040 - Department of Agriculture - National Research
Bureau Code
005:18 - Agricultural Research Service
Source ID
knb-lter-jrn21030100229
Harvested from Geodata Harvest
Harvest Source TitleGeodata Harvest
Harvest Source URIhttps://geodata:NAL2geodata@2017@geodata.nal.usda.gov/geonetwork/srv/eng/csw
Last Harvest PerformedTue, 04/10/2018 - 13:22

Metadata Source

NAL Geospatial Catalog