Scott Collins




The Monsoon Rainfall Manipulation Experiment (MRME) is to understand changes in ecosystem structure and function of a semiarid grassland caused by increased precipitation variability, which alters the pulses of soil moisture that drive primary productivity, community composition, and ecosystem functioning. The overarching hypothesis being tested is that changes in event size and variability will alter grassland productivity, ecosystem processes, and plant community dynamics. In particular, we predict that many small events will increase soil CO2 effluxes by stimulating microbial processes but not plant growth, whereas a small number of large events will increase aboveground NPP and soil respiration by providing sufficient deep soil moisture to sustain plant growth for longer periods of time during the summer monsoon. These data were collected from a meteorological station located at the Monsoon experimental site. Imported data from a Campbell Scientifics Instruments model CR1000 data logger operated at station Monsoon_CR1000 on 23-Nov-2015. Observations were recorded from 08-Jul-2010 to 09-Jul-2010 for 9 variables, including: Date, RECORD, batt_Avg, aTemp_Avg, rhPercent, vPressure, bPressure_Avg, parDensity_Avg and precip_Tot.


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Knowledge Network for Biocomplexity (KNB) Identifier


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This dataset was originally published on the Long Term Ecological Research (LTER) Network Data Portal,, and potentially via other repositories or portals as described. The Digital Object Identifier (DOI) of the source data package is doi:10.6073/pasta/2bab5b041e48b23317c45b8e7c79ee88, and may be accessed at Metadata and files included in this record mirror as closely as possible the source data and documentation, with the provenance metadata and quality report generated by the LTER portal reproduced here as '*-provenance.xml' and *-report.html' files, respectively.


Data Policies: This dataset is released to the public and may be freely downloaded. Please keep the designated Contact person informed of any plans to use the dataset. Consultation or collaboration with the original investigators is strongly encouraged. Publications and data products that make use of the dataset must include proper acknowledgement of the Sevilleta LTER. Datasets must be cited as in the example provided. A copy of any publications using these data must be supplied to the Sevilleta LTER Information Manager. By downloading any data you implicitly acknowledge the LTER Data Policy (


Sevilleta Long Term Ecological Research Project


Temporal coverage

2010-07-08 - 2015-11-23



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knb-lter-sev.301.1-metadata.html (90 kB)
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knb-lter-sev.301.1-provenance.xml (3 kB)
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knb-lter-sev.301.1-report.html (27 kB)
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data (14856 kB)
Data in TXT format