1. ERDC Knowledge Core
  2. Engineer Research and Development Center (ERDC)
  3. Cold Regions Research Engineering Laboratory (CRREL) - (2/1/1961 - present)
  4. Publication
  5. Technical Report
Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/29349
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dc.contributor.authorBarbato, Robyn A.-
dc.contributor.authorWaldrop, Lauren E.-
dc.contributor.authorMessan, Komi S.-
dc.contributor.authorJones, Robert M.-
dc.contributor.authorDoherty, Stacey J.-
dc.contributor.authorFoley, Karen L.-
dc.contributor.authorFelt, Christopher F.-
dc.contributor.authorMorgan, Michael J.-
dc.contributor.authorHan, Youl.-
dc.date.accessioned2018-09-18T19:41:44Z-
dc.date.available2018-09-18T19:41:44Z-
dc.date.issued2018-09-
dc.identifier.govdocERDC/CRREL TR-18-15-
dc.identifier.urihttp://hdl.handle.net/11681/29349-
dc.identifier.urihttp://dx.doi.org/10.21079/11681/29349-
dc.descriptionTechnical Report-
dc.description.abstractThe Dynamic Representation of Terrestrial Soil Predictions of Organisms’ Response to the Environment (DRTSPORE) platform was created to characterize soil activities in barren, vegetated, and complex environments, predict biological-impacted processes in soil, and generalize the framework to solve a range of Army-relevant problems. Key biological processes include soil stabilization, emerging power sensors, brown out abatement, pathogen emergence, and contaminant and threat degradation. These capabilities are a new essential aid to national security, as they currently do not exist. The primary objective of this research effort, DRTSPORE, was to develop an environmental intelligence tool that adds a biochemical layer to current high resolution remotely sensed terrain and sophisticated weather model products. The mathematical models developed serve as libraries added to the existing graphic user interface. The improved environmental intelligence platform will provide Commanders a tactical decision aid to make better informed decisions about mobility, the placement and construction of a forward operating base, the placement of sensors, and the avoidance of areas where there is a potential for exposure to mobilized toxic materials in the soil.en_US
dc.description.sponsorshipERDC 6.2. GRE ARTEMIS STO-R DRTSPORE Program (U.S.)en_US
dc.description.tableofcontentsAbstract .................................................................................................................................... ii Figures and Tables ................................................................................................................... v Preface ...................................................................................................................................viii Acronyms and Abbreviations ................................................................................................ ix Unit Conversion Factors ......................................................................................................... x 1 Introduction ...................................................................................................................... 1 1.1 Background ........................................................................................................ 1 1.2 Objective............................................................................................................. 2 1.3 Approach ............................................................................................................ 2 1.4 Army relevance .................................................................................................. 3 2 CRREL Soil Microbiology Testbed for Soil Science Research .................................... 4 2.1 Water release curves for each soil ................................................................... 5 2.2 Soil temperature and moisture data collection ............................................... 6 3 CRREL Soil Microbiology Empirical Data Collection ................................................. 10 3.1 Laboratory incubation set-up .......................................................................... 10 3.2 DNA extraction and sequencing .....................................................................11 3.3 Taxonomic and diversity analysis methods ....................................................11 3.4 Supervised learning methods ........................................................................ 12 3.5 Class level significant taxonomic analysis methods .................................... 12 3.6 Supervised learning results: Are the communities according to temperature and moisture unique enough to allow for accurate classification? ........................................................................................................... 13 3.7 Class level significant taxa results: What are the significant taxa contributing to difference in classification? ............................................................15 3.8 Discussion ........................................................................................................ 21 3.9 Conclusion ...................................................................................................... 22 4 CRREL Soil Microbiology Mathematical Model of Soil Activity ............................... 23 4.1 Is the relationship between Shannon diversity H and 𝑄𝑄10 linear? ............. 23 4.2 Nonlinear relationship between microbial diversity H and 𝑄𝑄10 .................. 25 4.3 Interaction effects between bacterial and fungal diversity .......................... 26 4.4 Relationship between 𝐐𝐐𝟏𝟏𝟏𝟏 vs. change in Shannon diversity index 𝜟𝜟𝜟𝜟 ................................................................................................................... 28 4.5 Relationship between the 𝐂𝐂𝐂𝐂𝐂𝐂 efflux (respiration rate) and Shannon diversity index ........................................................................................... 30 4.6 Discussion ........................................................................................................ 31 4.7 Conclusion ....................................................................................................... 31 5 CRREL Soil Microbiology DRTSPORE Platform and Validation ................................ 32 6 Validation of Soil Activity............................................................................................... 35 6.1 Method ............................................................................................................ 35 6.2 Results............................................................................................................. 36 7 CRREL DRTSPORE Application: Microbial Fuel Cells ................................................ 40 7.1 Test polymer on MFC performance ............................................................... 40 7.2 Adapt MFCs for the field ................................................................................. 42 7.3 Future directions for field MFCs .................................................................... 44 8 Conclusion ...................................................................................................................... 45 References ............................................................................................................................. 46 Report Documentation Page-
dc.format.extent60 pages / 6.75 Mb-
dc.format.mediumPDF/A-
dc.language.isoenen_US
dc.publisherCold Regions Research and Engineering Laboratory (U.S.)en_US
dc.publisherEngineer Research and Development Center (U.S.)en_US
dc.relation.ispartofseriesTechnical Report (Engineer Research and Development Center (U.S.)) ; no. ERDC/CRREL TR-18-15-
dc.rightsApproved for Public Release; Distribution is Unlimited-
dc.sourceThis Digital Resource was created in Microsoft Word and Adobe Acrobat-
dc.subjectSoils--Remote sensingen_US
dc.subjectRemote-sensing imagesen_US
dc.subjectSoil biochemistryen_US
dc.subjectGeospatial dataen_US
dc.subjectGeographic information systemsen_US
dc.titleDynamic representation of terrestrial soil predictions of organisms’ response to the environmenten_US
dc.typeReporten_US
Appears in Collections:Technical Report

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