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  • Physiological responses of biological soil crusts in the Chihuahuan desert
  • Hoellrich, Mikaela; New Mexico State University
    Pietrasiak, Nicole; New Mexico State University
  • 2021-10-20
  • Hoellrich, M. and N. Pietrasiak. 2021. Physiological responses of biological soil crusts in the Chihuahuan desert ver 2. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-28).
  • This dataset contains photosynthetic light response and carbon fixation data from biological soil crusts collected at four locations in the Chihuahuan Desert. This study aims to 1) assess the carbon fixation capacity of biocrust types under varying incubation times; 2) assess biocrust nitrogen fixation capacity; 3) understand microbial community composition as well as biomass differences within these biocrust types; and 4) identify how geographic location and soil properties can explain differences seen in carbon fixation and microbial diversity. In order to characterize the physiology of biocrust types at a range of Chihuahuan Desert sites, intact, replicate samples of five soil crust types were collected from each of 4 sites in southern New Mexico, USA: the Jornada Experimental Range (near T-West), the A-Mountain BLM site, the Volcanic BLM site, and White Sands Missile Range. Data and sample collection occurred between May and July of 2020, and the soil crust types of interest were light cyanobacterial, dark cyanobacterial, Peltula lichen, Clavascidium lichen, and moss crusts (n=5 samples for each site & type). After collection, crust subsamples were sequenced, targeting the 16S rRNA gene region for bacteria (see EDI dataset knb-lter-jrn.210549001 and linked data at NCBI), and then subjected to an incubation and photosynthetic response measurements. The intact crusts were incubated under low light, and C fixation was then observed under 12-point light regime in a LI-6400XT photosynthesis analyzer leaf chamber after incubation periods of 30min, 2hr, 6hr, 12hr, and 24hr (5 reps for each condition). The resulting light response curves were used to calculate photosynthetic information in R for the purpose of comparing biocrust type, site, and time response differences and upscale carbon flux values to landscape scale. This data set includes the light response curve values and photosynthetic data calculated from these curves. This data set also includes raw LICOR output files compiled into four Excel workbooks that data was extracted from. This study is complete.
  • Geographic Coordinates
    • N: 32.511184, S: 32.511065, E: -106.741125, W: -106.741358
    • N: 32.300009, S: 32.300001, E: -106.698654, W: -106.698837
    • N: 32.72966, S: 32.72966, E: -106.215799, W: -106.215882
  • This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.
  • DOI PLACE HOLDER
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Copyright 2024 Environmental Data Initiative. This material is based upon work supported by the National Science Foundation under grants #2223103 and #2223104. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Please contact us with questions, comments, or for technical assistance regarding this web site or the Environmental Data Initiative. Please read our privacy policy to know what information we collect about you and to understand your privacy rights.

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