Jornada Basin LTER Research

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decomposition datasets

Displaying 1 - 5 of 5 Datasets


File description including attribute definitions: data_Jornada_301001_aggregate_litterchem
Original investigator: Dan Hewins
Data contact: Steven Archer
Duration: 2010 - 2012
Dataset ID: 210301001
Abstract:
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.

We hypothesized that (i) reductions in grass cover would destabilize soils and promote SLM, and (ii) that SLM would enhance microbial abundance and alter microbial community composition in ways that accelerate decomposition. To test our hypotheses, we quantified mass loss, and chemistry of litter... more




File description including attribute definitions: data_Jornada_301001_aggregate_litterchem
Original investigator: Dan Hewins
Data contact: Steven Archer
Duration: 2010 - 2012
Dataset ID: 210301001
Abstract:
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.

We hypothesized that (i) reductions in grass cover would destabilize soils and promote SLM, and (ii) that SLM would enhance microbial abundance and alter microbial community composition in ways that accelerate decomposition. To test our hypotheses, we quantified mass loss, and chemistry of litter... more




File description including attribute definitions: data_Jornada_301002_aggregate_littermass
Original investigator: Dan Hewins
Data contact: Steven Archer
Duration: 2010 - 2012
Dataset ID: 210301002
Abstract:

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.  This study is complete.

 

For more see: Hewins, D. B., S. R. Archer, G. S. Okin, R. L. McCulley, and H. L. Throop. 2013. Soil-litter mixing... more




File description including attribute definitions: data_Jornada_301002_aggregate_littermass
Original investigator: Dan Hewins
Data contact: Steven Archer
Duration: 2010 - 2012
Dataset ID: 210301002
Abstract:

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.  This study is complete.

 

For more see: Hewins, D. B., S. R. Archer, G. S. Okin, R. L. McCulley, and H. L. Throop. 2013. Soil-litter mixing... more




File description including attribute definitions: data_JornadaStudy_010_npp_termite_bait
Original investigator: Walter G Whitford
Duration: 1988 - 2000
Dataset ID: 210010001
Abstract:

 

Termites are important to litter decomposition and nutrient cycling in desert grasslands. The annual feeding activity on paper baits of subterranean termites in desertified (degraded-shrub dominated ecosystems) and relatively undegraded black-grama (Bouteloua eriopoda) grasslands was measured over six years on 12 sites on the Jornada Basin. Toilet paper roll termite baits were placed on grids on each consumer plot. Data include initial bait weights and bait weights after baits had been retrieved from the field once each year. Weight loss was calculated as a measure of termite foraging activity. This study is complete.