Michelle Busch
University of Kansas;University of Kansas Biological Survey
Recent Activity
ABSTRACT:
The following standard operating procedure (SOP) was created for the the Aquatic Intermittency effects on Microbiomes in Streams (AIMS), an NSF EPSCoR funded project (OIA 2019603) seeking to explore the impacts of stream drying on downstream water quality across Kansas, Oklahoma, Alabama, Idaho, and Mississippi. AIMS integrates datasets on hydrology, microbiomes, macroinvertebrates, and biogeochemistry in three regions (Mountain West, Great Plains, and Southeast Forests) to test the overarching hypothesis that physical drivers (e.g., climate, hydrology) interact with biological drivers (e.g., microbes, biogeochemistry) to control water quality in intermittent streams. An overview of the AIMS project can be found here: https://youtu.be/HDKIBNEnwdM.
This protocol details the process for measuring streamflow within the stream network focused largely on low-flow conditions using dilution gaging techniques.
Also included in this resource is the AIMS datasheet used when taking measurements in the field.
The "living" version of this SOP is available on Google Docs: https://docs.google.com/document/d/18mvs_aAr677eQDrwUuassMTWmjggSQxVkmkr0vgF0J4/edit?tab=t.0
From this SOP, the following data types will be created: stream width, depth, discharge (AIMS rTypes created: ENVI, DISC).
ABSTRACT:
The following standard operating procedure (SOP) was created for the the Aquatic Intermittency effects on Microbiomes in Streams (AIMS), an NSF EPSCoR funded project (OIA 2019603) seeking to explore the impacts of stream drying on downstream water quality across Kansas, Oklahoma, Alabama, Idaho, and Mississippi. AIMS integrates datasets on hydrology, microbiomes, macroinvertebrates, and biogeochemistry in three regions (Mountain West, Great Plains, and Southeast Forests) to test the overarching hypothesis that physical drivers (e.g., climate, hydrology) interact with biological drivers (e.g., microbes, biogeochemistry) to control water quality in intermittent streams. An overview of the AIMS project can be found here: https://youtu.be/HDKIBNEnwdM
This protocol will detail the process for calibrating and launching STIC (Stream Temperature Intermittency & Relative Conductivity) sensors.
The "living" version of this SOP can be found on Google Docs: https://docs.google.com/document/d/1gTZ5MecE8Xjp6ymhH4rB92V_i1lH93Jv/edit
From this SOP, the following data types will be created: Time series of temperature and conductivity. [AIMS rTypes: STIC]
ABSTRACT:
The following standard operating procedure (SOP) was created for the the Aquatic Intermittency effects on Microbiomes in Streams (AIMS), an NSF EPSCoR funded project (OIA 2019603) seeking to explore the impacts of stream drying on downstream water quality across Kansas, Oklahoma, Alabama, Idaho, and Mississippi. AIMS integrates datasets on hydrology, microbiomes, macroinvertebrates, and biogeochemistry in three regions (Mountain West, Great Plains, and Southeast Forests) to test the overarching hypothesis that physical drivers (e.g., climate, hydrology) interact with biological drivers (e.g., microbes, biogeochemistry) to control water quality in intermittent streams. An overview of the AIMS project can be found here: https://youtu.be/HDKIBNEnwdM
This protocol details the process for setting up, testing, deploying, downloading, relaunching, and retrieving STIC sensors to assess the presence and absence of surface water. These sensors will be used throughout the nine focal watersheds to get a spatially distributed view of stream drying patterns (AIMS Approach 1) and will inform locations for distributed seasonal sampling (AIMS Approach 2).
The "living" version of this SOP can be found on Google Docs: https://docs.google.com/document/d/1_GOR5HyaH7kxzvBhT6yi1ajTyhBhfVRI9UGYjQ043qI/edit?tab=t.0
Also included in this resource are field sheets, used when STICs were collected to record site, serial number, timing of collection, and other information important for STIC processing.
From this SOP, the following data types will be created: Time series of temperature and conductivity. [AIMS rTypes: STIC]
ABSTRACT:
The following standard operating procedure (SOP) was created for the the Aquatic Intermittency effects on Microbiomes in Streams (AIMS), an NSF EPSCoR funded project (OIA 2019603) seeking to explore the impacts of stream drying on downstream water quality across Kansas, Oklahoma, Alabama, Idaho, and Mississippi. AIMS integrates datasets on hydrology, microbiomes, macroinvertebrates, and biogeochemistry in three regions (Mountain West, Great Plains, and Southeast Forests) to test the overarching hypothesis that physical drivers (e.g., climate, hydrology) interact with biological drivers (e.g., biogeochemistry, microbial and macroinvertebrate communities) to control water quality in intermittent streams. An overview of the AIMS project can be found here: https://youtu.be/HDKIBNEnwdM
This protocol will detail the process for collecting and storing benthic macroinvertebrates collected at AIMS sites. Benthic macroinvertebrates will be collected during regular sensor maintenance (Approach 1), during seasonal synoptics (Approach 2), and during the synoptic sampling (Approach 3). A video was created to detail this sampling method (https://www.youtube.com/watch?v=6niLLGBOoeU). Most samples were collected for DNA metabarcoding, although some samples were set aside for abundance data. From this SOP, the following data types will be created: Macroinvertebrate DNA sequences, presence / absence data, abundance data [AIMS rType: MACR]
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Created: Oct. 23, 2024, 4:40 p.m.
Authors: Daniel C. Allen · Busch, Michelle
ABSTRACT:
The following standard operating procedure (SOP) was created for the the Aquatic Intermittency effects on Microbiomes in Streams (AIMS), an NSF EPSCoR funded project (OIA 2019603) seeking to explore the impacts of stream drying on downstream water quality across Kansas, Oklahoma, Alabama, Idaho, and Mississippi. AIMS integrates datasets on hydrology, microbiomes, macroinvertebrates, and biogeochemistry in three regions (Mountain West, Great Plains, and Southeast Forests) to test the overarching hypothesis that physical drivers (e.g., climate, hydrology) interact with biological drivers (e.g., biogeochemistry, microbial and macroinvertebrate communities) to control water quality in intermittent streams. An overview of the AIMS project can be found here: https://youtu.be/HDKIBNEnwdM
This protocol will detail the process for collecting and storing benthic macroinvertebrates collected at AIMS sites. Benthic macroinvertebrates will be collected during regular sensor maintenance (Approach 1), during seasonal synoptics (Approach 2), and during the synoptic sampling (Approach 3). A video was created to detail this sampling method (https://www.youtube.com/watch?v=6niLLGBOoeU). Most samples were collected for DNA metabarcoding, although some samples were set aside for abundance data. From this SOP, the following data types will be created: Macroinvertebrate DNA sequences, presence / absence data, abundance data [AIMS rType: MACR]
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Created: Dec. 5, 2024, 7:30 p.m.
Authors: Godsey, Sarah · Wheeler, Christopher · Zipper, Sam
ABSTRACT:
The following standard operating procedure (SOP) was created for the the Aquatic Intermittency effects on Microbiomes in Streams (AIMS), an NSF EPSCoR funded project (OIA 2019603) seeking to explore the impacts of stream drying on downstream water quality across Kansas, Oklahoma, Alabama, Idaho, and Mississippi. AIMS integrates datasets on hydrology, microbiomes, macroinvertebrates, and biogeochemistry in three regions (Mountain West, Great Plains, and Southeast Forests) to test the overarching hypothesis that physical drivers (e.g., climate, hydrology) interact with biological drivers (e.g., microbes, biogeochemistry) to control water quality in intermittent streams. An overview of the AIMS project can be found here: https://youtu.be/HDKIBNEnwdM
This protocol details the process for setting up, testing, deploying, downloading, relaunching, and retrieving STIC sensors to assess the presence and absence of surface water. These sensors will be used throughout the nine focal watersheds to get a spatially distributed view of stream drying patterns (AIMS Approach 1) and will inform locations for distributed seasonal sampling (AIMS Approach 2).
The "living" version of this SOP can be found on Google Docs: https://docs.google.com/document/d/1_GOR5HyaH7kxzvBhT6yi1ajTyhBhfVRI9UGYjQ043qI/edit?tab=t.0
Also included in this resource are field sheets, used when STICs were collected to record site, serial number, timing of collection, and other information important for STIC processing.
From this SOP, the following data types will be created: Time series of temperature and conductivity. [AIMS rTypes: STIC]
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Created: Dec. 5, 2024, 7:37 p.m.
Authors: Burke, Eva · Wilhelm, Jessica · Zipper, Sam · Brown, Connor
ABSTRACT:
The following standard operating procedure (SOP) was created for the the Aquatic Intermittency effects on Microbiomes in Streams (AIMS), an NSF EPSCoR funded project (OIA 2019603) seeking to explore the impacts of stream drying on downstream water quality across Kansas, Oklahoma, Alabama, Idaho, and Mississippi. AIMS integrates datasets on hydrology, microbiomes, macroinvertebrates, and biogeochemistry in three regions (Mountain West, Great Plains, and Southeast Forests) to test the overarching hypothesis that physical drivers (e.g., climate, hydrology) interact with biological drivers (e.g., microbes, biogeochemistry) to control water quality in intermittent streams. An overview of the AIMS project can be found here: https://youtu.be/HDKIBNEnwdM
This protocol will detail the process for calibrating and launching STIC (Stream Temperature Intermittency & Relative Conductivity) sensors.
The "living" version of this SOP can be found on Google Docs: https://docs.google.com/document/d/1gTZ5MecE8Xjp6ymhH4rB92V_i1lH93Jv/edit
From this SOP, the following data types will be created: Time series of temperature and conductivity. [AIMS rTypes: STIC]
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Created: Dec. 5, 2024, 7:45 p.m.
Authors: Godsey, Sarah · Seybold, Erin · Wolford, Michelle · Zipper, Sam
ABSTRACT:
The following standard operating procedure (SOP) was created for the the Aquatic Intermittency effects on Microbiomes in Streams (AIMS), an NSF EPSCoR funded project (OIA 2019603) seeking to explore the impacts of stream drying on downstream water quality across Kansas, Oklahoma, Alabama, Idaho, and Mississippi. AIMS integrates datasets on hydrology, microbiomes, macroinvertebrates, and biogeochemistry in three regions (Mountain West, Great Plains, and Southeast Forests) to test the overarching hypothesis that physical drivers (e.g., climate, hydrology) interact with biological drivers (e.g., microbes, biogeochemistry) to control water quality in intermittent streams. An overview of the AIMS project can be found here: https://youtu.be/HDKIBNEnwdM.
This protocol details the process for measuring streamflow within the stream network focused largely on low-flow conditions using dilution gaging techniques.
Also included in this resource is the AIMS datasheet used when taking measurements in the field.
The "living" version of this SOP is available on Google Docs: https://docs.google.com/document/d/18mvs_aAr677eQDrwUuassMTWmjggSQxVkmkr0vgF0J4/edit?tab=t.0
From this SOP, the following data types will be created: stream width, depth, discharge (AIMS rTypes created: ENVI, DISC).