Data Package Metadata   View Summary

Sycamore Creek macroinvertebrate collections after flooding event

General Information
Data Package:
Local Identifier:knb-lter-cap.375.9
Title:Sycamore Creek macroinvertebrate collections after flooding event
Alternate Identifier:DOI PLACE HOLDER
Abstract:
The primary objective of this project is to understand how long-term climate variability influences the structure and function of desert streams. Climate and hydrology are intimately linked in arid landscapes; for this reason, desert streams are particularly well suited for both observing and understanding the consequences of climate variability and directional change. Arid regions are characterized by high interannual variation in precipitation, and these climate patterns drive the overall disturbance regime (in terms of flooding and drying) and nutrient status of desert stream ecosystems. At long time scales, the number and size of floods in a given year or cluster of years dictate nutrient delivery to streams from the surrounding catchment, and also influence the biogeomorphic structure of the stream-riparian corridor. Embedded within this decadal-scale hydrologic regime, flash floods scour stream channels and initiate a series of rapid successional changes by benthic algae and macroinvertebrates at short time scales (i.e., within a year). An important goal of this research is to determine how recovery following discrete events is influenced by both stream nutrient status and channel structure and to thus better understand how long-term climate variability and change guide the interactions among slow (biogeomorphic change) and fast (post-flood succession) features and processes characteristic of desert stream ecosystems.
Publication Date:2020-06-30

Time Period
Begin:
1985-02-27
End:
1999-06-17

People and Organizations
Contact:Information Manager (Central Arizona–Phoenix LTER) [  email ]
Creator:Grimm, Nancy (Arizona State University)
Creator:Fisher, Stuart (Arizona State University)
Associate:Bessler, Joanne 
Associate:Bills, Rob 
Associate:Blaine, Tegan 
Associate:Boulton, Andrew 
Associate:Cetin, John 
Associate:Clinton, Sandra 
Associate:Colella, Tom 
Associate:Corbett, Alicia 
Associate:Dent, Lisa 
Associate:Donovan, Kelly 
Associate:Downs, Leanne 
Associate:Drake, Nicole 
Associate:Dudley, Tom 
Associate:Edmonds, Jennifer 
Associate:Ford, Susan 
Associate:Fredrickson, Chad 
Associate:Freeman, Janey 
Associate:Gavin, James 
Associate:Goettl, Aisha 
Associate:Gómez, Rosa 
Associate:Greene, Dena 
Associate:Grove, Kevin 
Associate:Harper, Bryan 
Associate:Henry, Julia 
Associate:Holland, Shero 
Associate:Holmes, Bob 
Associate:Hunter, Jennifer 
Associate:Jackson, Andrea 
Associate:Jones, Jay 
Associate:Kochert, Cathy 
Associate:Main, Traci 
Associate:Mallett, Michael 
Associate:Martí, Eugènia 
Associate:Millan, Andres 
Associate:Murphy, Miguel 
Associate:Myers, Michael 
Associate:Naegeli, Markus 
Associate:Peralta, Renee 
Associate:Peterson, Bruce 
Associate:Peterson, Chris 
Associate:Petrone, Kevin 
Associate:Rector, Sam 
Associate:Roach, John 
Associate:Schade, John 
Associate:Schrot, Ann 
Associate:Seddon, Jaime 
Associate:Sponseller, Ryan 
Associate:Stanley, Emily 
Associate:Stinchfield, Kathy 
Associate:Tseng, Maggie 
Associate:Valett, Maury 
Associate:Velasco, Josefa 
Associate:Welter, Jill 
Associate:Wood, Dalaine 
Associate:Zachary, Jennifer 
Associate:Zhu, Weixing 

Data Entities
Data Table Name:
375_insects_9c0c6e01d947cf7d9de9809d00457d2e.csv
Description:
individual counts and size measurements of insects in samples
Data Table Name:
375_macroinvertebrates_7e774b8bfafe28c86be22e6e73d9f1db.csv
Description:
individual counts per species and sample
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-cap/375/9/87feccd5dc5d35424ad4df9ea65399a7
Name:375_insects_9c0c6e01d947cf7d9de9809d00457d2e.csv
Description:individual counts and size measurements of insects in samples
Number of Records:476
Number of Columns:8

Table Structure
Object Name:375_insects_9c0c6e01d947cf7d9de9809d00457d2e.csv
Size:23147 bytes
Authentication:9c0c6e01d947cf7d9de9809d00457d2e Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 
Column Name:ID  
taxa_id  
taxa  
parallel  
size_less2  
size_2_5  
size_greater5  
sample_date  
Definition:id of each row. Uniquely identifies each of the rowtaxon IDname of the taxonhere parallel identifies the samplenumber of indivduals with size less than 2mmnumber of individuals with size between 2mm and 5mmnumber of individuals with size greater than 5mmthe date on which the sample was taken
Storage Type:string  
string  
string  
string  
float  
float  
float  
date  
Measurement Type:nominalnominalnominalnominalratioratioratiodateTime
Measurement Values Domain:
Definitionid of each row. Uniquely identifies each of the row
Definitiontaxon ID
Definitionname of the taxon
Definitionhere parallel identifies the sample
Unitnumber
Typewhole
Min
Max5941 
Unitnumber
Typenatural
Min
Max1873 
Unitnumber
Typewhole
Min
Max107 
FormatYYYY-MM-DD
Precision
Missing Value Code:        
CodeNA
Explmissing value
CodeNA
Explmissing value
CodeNA
Explmissing value
 
Accuracy Report:                
Accuracy Assessment:                
Coverage:                
Methods:                

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-cap/375/9/c67f7b11e093b95fe773d52c0148c6f2
Name:375_macroinvertebrates_7e774b8bfafe28c86be22e6e73d9f1db.csv
Description:individual counts per species and sample
Number of Records:2070
Number of Columns:5

Table Structure
Object Name:375_macroinvertebrates_7e774b8bfafe28c86be22e6e73d9f1db.csv
Size:80936 bytes
Authentication:7e774b8bfafe28c86be22e6e73d9f1db Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 
Column Name:sample_id  
taxon_id  
individuals  
sample_date  
days_past_flood  
Definition:Unique, automotically generated ID numberName of taxonAbundance pooled across five sample cores, each 0.008 m2 in area. Density per square meter is calculated by dividing these values by 0.04.Date sample was takenNumber of days past the last flood
Storage Type:string  
string  
float  
date  
float  
Measurement Type:nominalnominalratiodateTimeratio
Measurement Values Domain:
DefinitionUnique, automotically generated ID number
DefinitionName of taxon
Unitnumber
Typewhole
Min
Max12753 
FormatYYYY-MM-DD
Precision
UnitnominalDay
Typenatural
Min
Max163 
Missing Value Code:          
Accuracy Report:          
Accuracy Assessment:          
Coverage:          
Methods:          

Data Package Usage Rights

This data package is released to the "public domain" under Creative Commons CC0 1.0 "No Rights Reserved" (see: https://creativecommons.org/publicdomain/zero/1.0/). The consumer of these data ("Data User" herein) has an ethical obligation 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 coauthorship 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.

Keywords

By Thesaurus:
LTER controlled vocabularydeserts, floods, macroinvertebrates, insects, aquatic ecosystems, aquatic invertebrates, arthropods, distance, disturbance, disturbance patterns, disturbance properties, disturbances, diversity, drainage, droughts, streams
LTER core areaspopulation studies, disturbance patterns, water and fluxes
Creator Defined Keyword Setsycamore creek, sonoran desert, LTREB
CAPLTER Keyword Set Listcap lter, cap, caplter, central arizona phoenix long term ecological research, arizona, az, arid land

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

Methods and protocols used in the collection of this data package
Description:
# Collection and transfer of Benthic Bugs 1. Five replicate samples are collected from the stream using a PVC core (0.008 m2) or surber sampler (0.092 m2). 2. Open whirlpack and rinse insides of bag with a little water. 3. Cut off top of whirlpack with scissors- avoid cutting off the sample date and replicate number. 4. Place 250 micron mesh ring on edge of sink and pour sample through the mesh- rinse inside of whirlrpack with distilled water to remove entire sample. 5. Rinse sample (now on mesh) with some water to wash off the 95% ETOH – at the same time begin moving the sample to one side of the mesh ring. 6. Using a flat metal spatula, transfer the sample to from the mesh ring to an 8 dram glass vial. Use a funnel and 70% ETOH to remove smaller pieces of sample. 7. Make sure the sample is covered with 70% ETOH in the 8 dram vial. 8. Label vial with baseline date, sample number, and PI initials 9. Rinse mesh ring with distilled water before transferring the next sample. # Sample processing and calculations 1. Record on data sheet collection data from sample container (site, location, date, sample method) 2. Remove entire sample from jar or whirlpack and place in appropriate container (enamel pan, pitcher, or small bucgket). 3. Remove large debris such as sticks and rocks 4. Elutriate sample through a fine-mesh black sieve or plexiglass chamber fitted with fine mesh nitex; repeat 10x 5. If sample is to be “picked by eye”, place it in an enamel pan. 6. If sample is to be picked under a dissecting scope, place it in a grid petri dish. 7. Remove invertebrates; identify to designated taxonomic level; enumerate; place like individuals in properly labeled (site, location, date, contents) vial with 70% ETOH. 8. Do calculations (core is 0.008m2, surber is 0.092m2). Note: Do not allow sample to dry out before or during the time that you are picking it. Note: Some groups are undersampled with this method, i.e. the mobile groups like hemipterans and dystiscid beeteles.

People and Organizations

Publishers:
Organization:Central Arizona–Phoenix LTER
Address:
Arizona State University,
Global Institute of Sustainability,
Tempe, AZ 85287-5402 USA
Creators:
Individual: Nancy Grimm
Organization:Arizona State University
Email Address:
nbgrimm@asu.edu
Id:https://orcid.org/0000-0001-9374-660X
Individual: Stuart Fisher
Organization:Arizona State University
Email Address:
s.fisher@asu.edu
Contacts:
Organization:Central Arizona–Phoenix LTER
Position:Information Manager
Address:
Arizona State University,
Global Institute of Sustainability,
Tempe, AZ 85287-5402 USA
Email Address:
caplter.data@asu.edu
Web Address:
https://sustainability.asu.edu/caplter/
Associated Parties:
Individual: Joanne Bessler
Role:Technician
Individual: Rob Bills
Role:Research Assistant
Individual: Tegan Blaine
Role:REU student
Individual: Andrew Boulton
Role:Post-doc
Individual: John Cetin
Role:Research Assistant
Individual: Sandra Clinton
Role:M.S. student
Individual: Tom Colella
Role:Lab Manager
Individual: Alicia Corbett
Role:REU student
Individual: Lisa Dent
Role:Ph.D. student
Individual: Kelly Donovan
Role:REU student
Individual: Leanne Downs
Role:REU student
Individual: Nicole Drake
Role:Technician
Individual: Tom Dudley
Role:Post-doc
Individual: Jennifer Edmonds
Role:Ph.D. student
Individual: Susan Ford
Role:Research Assistant
Individual: Chad Fredrickson
Role:Research Assistant
Individual: Janey Freeman
Role:Technician
Individual: James Gavin
Role:Technician
Individual: Aisha Goettl
Role:M.S. student
Individual: Rosa Gómez
Role:Post-doc
Individual: Dena Greene
Role:REU student
Individual: Kevin Grove
Role:Technician
Individual: Bryan Harper
Role:REU student
Individual: Julia Henry
Role:M.S. student
Individual: Shero Holland
Role:M.S. student
Individual: Bob Holmes
Role:Ph.D. student
Individual: Jennifer Hunter
Role:REU student
Individual: Andrea Jackson
Role:REU student
Individual: Jay Jones
Role:Ph.D. student
Individual: Cathy Kochert
Role:Lab Manager
Individual: Traci Main
Role:Technician
Individual: Michael Mallett
Role:Technician
Individual: Eugènia Martí
Role:Post-doc
Individual: Andres Millan
Role:Post-doc
Individual: Miguel Murphy
Role:REU student
Individual: Michael Myers
Role:Research Assistant
Individual: Markus Naegeli
Role:Post-doc
Individual: Renee Peralta
Role:Office Assistant
Individual: Bruce Peterson
Role:Technician
Individual: Chris Peterson
Role:Post-doc
Individual: Kevin Petrone
Role:REU student
Individual: Sam Rector
Role:Technician
Individual: John Roach
Role:Ph.D. student
Individual: John Schade
Role:Ph.D. student
Individual: Ann Schrot
Role:M.S. student
Individual: Jaime Seddon
Role:REU student
Individual: Ryan Sponseller
Role:Post-doc
Individual: Emily Stanley
Role:Ph.D. student
Individual: Kathy Stinchfield
Role:Administrative Associate
Individual: Maggie Tseng
Role:Technician
Individual: Maury Valett
Role:Ph.D. student
Individual: Josefa Velasco
Role:Post-doc
Individual: Jill Welter
Role:Ph.D. student
Individual: Dalaine Wood
Role:M.S. student
Individual: Jennifer Zachary
Role:REU student
Individual: Weixing Zhu
Role:Post-doc
Metadata Providers:
Individual: Nancy Grimm
Organization:Arizona State University
Email Address:
nbgrimm@asu.edu
Id:https://orcid.org/0000-0001-9374-660X

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to all data in this dataset:

Time Period
Begin:
1985-02-27
End:
1999-06-17
Sampling Site: 
Description:Sycamore Creek
Site Coordinates:
Longitude (degree): -111.541000Latitude (degree): 33.694100
Taxonomic Range:
Classification:
Rank Name:subclass
Rank Value:Acari
Classification:
Rank Name:kingdom
Rank Value:Animalia
Classification:
Rank Name:subkingdom
Rank Value:Bilateria
Classification:
Rank Name:infrakingdom
Rank Value:Protostomia
Classification:
Rank Name:superphylum
Rank Value:Ecdysozoa
Classification:
Rank Name:phylum
Rank Value:Arthropoda
Classification:
Rank Name:subphylum
Rank Value:Hexapoda
Classification:
Rank Name:class
Rank Value:Insecta
Classification:
Rank Name:subclass
Rank Value:Pterygota
Classification:
Rank Name:infraclass
Rank Value:Palaeoptera
Classification:
Rank Name:order
Rank Value:Odonata
Classification:
Rank Name:suborder
Rank Value:Anisoptera
Classification:
Rank Name:kingdom
Rank Value:Animalia
Classification:
Rank Name:subkingdom
Rank Value:Bilateria
Classification:
Rank Name:infrakingdom
Rank Value:Protostomia
Classification:
Rank Name:superphylum
Rank Value:Ecdysozoa
Classification:
Rank Name:phylum
Rank Value:Arthropoda
Classification:
Rank Name:subphylum
Rank Value:Hexapoda
Classification:
Rank Name:class
Rank Value:Insecta
Classification:
Rank Name:subclass
Rank Value:Pterygota
Classification:
Rank Name:infraclass
Rank Value:Palaeoptera
Classification:
Rank Name:order
Rank Value:Ephemeroptera
Classification:
Rank Name:suborder
Rank Value:Pisciforma
Classification:
Rank Name:family
Rank Value:Baetidae
Classification:
Rank Name:genus
Rank Value:Callibaetis
Classification:
Rank Name:kingdom
Rank Value:Animalia
Classification:
Rank Name:subkingdom
Rank Value:Bilateria
Classification:
Rank Name:infrakingdom
Rank Value:Protostomia
Classification:
Rank Name:superphylum
Rank Value:Ecdysozoa
Classification:
Rank Name:phylum
Rank Value:Arthropoda
Classification:
Rank Name:subphylum
Rank Value:Hexapoda
Classification:
Rank Name:class
Rank Value:Insecta
Classification:
Rank Name:subclass
Rank Value:Pterygota
Classification:
Rank Name:infraclass
Rank Value:Neoptera
Classification:
Rank Name:superorder
Rank Value:Holometabola
Classification:
Rank Name:order
Rank Value:Diptera
Classification:
Rank Name:suborder
Rank Value:Nematocera
Classification:
Rank Name:infraorder
Rank Value:Culicomorpha
Classification:
Rank Name:family
Rank Value:Ceratopogonidae
Classification:
Rank Name:kingdom
Rank Value:Animalia
Classification:
Rank Name:subkingdom
Rank Value:Bilateria
Classification:
Rank Name:infrakingdom
Rank Value:Protostomia
Classification:
Rank Name:superphylum
Rank Value:Ecdysozoa
Classification:
Rank Name:phylum
Rank Value:Arthropoda
Classification:
Rank Name:subphylum
Rank Value:Hexapoda
Classification:
Rank Name:class
Rank Value:Insecta
Classification:
Rank Name:subclass
Rank Value:Pterygota
Classification:
Rank Name:infraclass
Rank Value:Neoptera
Classification:
Rank Name:superorder
Rank Value:Holometabola
Classification:
Rank Name:order
Rank Value:Diptera
Classification:
Rank Name:suborder
Rank Value:Nematocera
Classification:
Rank Name:infraorder
Rank Value:Culicomorpha
Classification:
Rank Name:family
Rank Value:Chironomidae
Classification:
Rank Name:kingdom
Rank Value:Animalia
Classification:
Rank Name:subkingdom
Rank Value:Bilateria
Classification:
Rank Name:infrakingdom
Rank Value:Protostomia
Classification:
Rank Name:superphylum
Rank Value:Ecdysozoa
Classification:
Rank Name:phylum
Rank Value:Arthropoda
Classification:
Rank Name:subphylum
Rank Value:Hexapoda
Classification:
Rank Name:class
Rank Value:Insecta
Classification:
Rank Name:subclass
Rank Value:Pterygota
Classification:
Rank Name:infraclass
Rank Value:Palaeoptera
Classification:
Rank Name:order
Rank Value:Ephemeroptera
Classification:
Rank Name:suborder
Rank Value:Pisciforma
Classification:
Rank Name:family
Rank Value:Baetidae
Classification:
Rank Name:genus
Rank Value:Fallceon
Classification:
Rank Name:kingdom
Rank Value:Animalia
Classification:
Rank Name:subkingdom
Rank Value:Bilateria
Classification:
Rank Name:infrakingdom
Rank Value:Protostomia
Classification:
Rank Name:superphylum
Rank Value:Ecdysozoa
Classification:
Rank Name:phylum
Rank Value:Arthropoda
Classification:
Rank Name:subphylum
Rank Value:Hexapoda
Classification:
Rank Name:class
Rank Value:Insecta
Classification:
Rank Name:subclass
Rank Value:Pterygota
Classification:
Rank Name:infraclass
Rank Value:Neoptera
Classification:
Rank Name:superorder
Rank Value:Holometabola
Classification:
Rank Name:order
Rank Value:Trichoptera
Classification:
Rank Name:superfamily
Rank Value:Sericostomatoidea
Classification:
Rank Name:family
Rank Value:Helicopsychidae
Classification:
Rank Name:genus
Rank Value:Helicopsyche
Classification:
Rank Name:kingdom
Rank Value:Animalia
Classification:
Rank Name:subkingdom
Rank Value:Bilateria
Classification:
Rank Name:infrakingdom
Rank Value:Protostomia
Classification:
Rank Name:superphylum
Rank Value:Ecdysozoa
Classification:
Rank Name:phylum
Rank Value:Arthropoda
Classification:
Rank Name:subphylum
Rank Value:Hexapoda
Classification:
Rank Name:class
Rank Value:Insecta
Classification:
Rank Name:subclass
Rank Value:Pterygota
Classification:
Rank Name:infraclass
Rank Value:Neoptera
Classification:
Rank Name:superorder
Rank Value:Holometabola
Classification:
Rank Name:order
Rank Value:Coleoptera
Classification:
Rank Name:suborder
Rank Value:Polyphaga
Classification:
Rank Name:infraorder
Rank Value:Staphyliniformia
Classification:
Rank Name:superfamily
Rank Value:Hydrophiloidea
Classification:
Rank Name:family
Rank Value:Hydrophilidae
Classification:
Rank Name:kingdom
Rank Value:Animalia
Classification:
Rank Name:subkingdom
Rank Value:Bilateria
Classification:
Rank Name:infrakingdom
Rank Value:Protostomia
Classification:
Rank Name:superphylum
Rank Value:Ecdysozoa
Classification:
Rank Name:phylum
Rank Value:Arthropoda
Classification:
Rank Name:subphylum
Rank Value:Hexapoda
Classification:
Rank Name:class
Rank Value:Insecta
Classification:
Rank Name:subclass
Rank Value:Pterygota
Classification:
Rank Name:infraclass
Rank Value:Neoptera
Classification:
Rank Name:superorder
Rank Value:Holometabola
Classification:
Rank Name:order
Rank Value:Trichoptera
Classification:
Rank Name:superfamily
Rank Value:Hydropsychoidea
Classification:
Rank Name:family
Rank Value:Hydropsychidae
Classification:
Rank Name:kingdom
Rank Value:Animalia
Classification:
Rank Name:subkingdom
Rank Value:Bilateria
Classification:
Rank Name:infrakingdom
Rank Value:Protostomia
Classification:
Rank Name:superphylum
Rank Value:Ecdysozoa
Classification:
Rank Name:phylum
Rank Value:Arthropoda
Classification:
Rank Name:subphylum
Rank Value:Hexapoda
Classification:
Rank Name:class
Rank Value:Insecta
Classification:
Rank Name:subclass
Rank Value:Pterygota
Classification:
Rank Name:infraclass
Rank Value:Neoptera
Classification:
Rank Name:superorder
Rank Value:Holometabola
Classification:
Rank Name:order
Rank Value:Lepidoptera
Classification:
Rank Name:kingdom
Rank Value:Animalia
Classification:
Rank Name:subkingdom
Rank Value:Bilateria
Classification:
Rank Name:infrakingdom
Rank Value:Protostomia
Classification:
Rank Name:superphylum
Rank Value:Ecdysozoa
Classification:
Rank Name:phylum
Rank Value:Arthropoda
Classification:
Rank Name:subphylum
Rank Value:Hexapoda
Classification:
Rank Name:class
Rank Value:Insecta
Classification:
Rank Name:subclass
Rank Value:Pterygota
Classification:
Rank Name:infraclass
Rank Value:Palaeoptera
Classification:
Rank Name:order
Rank Value:Ephemeroptera
Classification:
Rank Name:suborder
Rank Value:Furcatergalia
Classification:
Rank Name:infraorder
Rank Value:Pannota
Classification:
Rank Name:superfamily
Rank Value:Ephemerelloidea
Classification:
Rank Name:family
Rank Value:Leptohyphidae
Classification:
Rank Name:genus
Rank Value:Leptohyphes
Classification:
Rank Name:kingdom
Rank Value:Animalia
Classification:
Rank Name:subkingdom
Rank Value:Bilateria
Classification:
Rank Name:infrakingdom
Rank Value:Protostomia
Classification:
Rank Name:superphylum
Rank Value:Lophozoa
Classification:
Rank Name:phylum
Rank Value:Mollusca
Classification:
Rank Name:class
Rank Value:Gastropoda
Classification:
Rank Name:subclass
Rank Value:Oligochaeta
Classification:
Rank Name:unknown
Rank Value:Other Coleoptera
Classification:
Rank Name:unknown
Rank Value:Other Diptera
Classification:
Rank Name:unknown
Rank Value:Other Ephemeroptera
Classification:
Rank Name:unknown
Rank Value:Other Trichoptera
Classification:
Rank Name:kingdom
Rank Value:Animalia
Classification:
Rank Name:subkingdom
Rank Value:Bilateria
Classification:
Rank Name:infrakingdom
Rank Value:Protostomia
Classification:
Rank Name:superphylum
Rank Value:Ecdysozoa
Classification:
Rank Name:phylum
Rank Value:Arthropoda
Classification:
Rank Name:subphylum
Rank Value:Hexapoda
Classification:
Rank Name:class
Rank Value:Insecta
Classification:
Rank Name:subclass
Rank Value:Pterygota
Classification:
Rank Name:infraclass
Rank Value:Neoptera
Classification:
Rank Name:superorder
Rank Value:Holometabola
Classification:
Rank Name:order
Rank Value:Coleoptera
Classification:
Rank Name:suborder
Rank Value:Polyphaga
Classification:
Rank Name:infraorder
Rank Value:Elateriformia
Classification:
Rank Name:superfamily
Rank Value:Byrrhoidea
Classification:
Rank Name:family
Rank Value:Psephenidae
Classification:
Rank Name:unknown
Rank Value:Stratiomyiidae
Classification:
Rank Name:kingdom
Rank Value:Animalia
Classification:
Rank Name:subkingdom
Rank Value:Bilateria
Classification:
Rank Name:infrakingdom
Rank Value:Protostomia
Classification:
Rank Name:superphylum
Rank Value:Ecdysozoa
Classification:
Rank Name:phylum
Rank Value:Arthropoda
Classification:
Rank Name:subphylum
Rank Value:Hexapoda
Classification:
Rank Name:class
Rank Value:Insecta
Classification:
Rank Name:subclass
Rank Value:Pterygota
Classification:
Rank Name:infraclass
Rank Value:Neoptera
Classification:
Rank Name:superorder
Rank Value:Holometabola
Classification:
Rank Name:order
Rank Value:Diptera
Classification:
Rank Name:suborder
Rank Value:Brachycera
Classification:
Rank Name:infraorder
Rank Value:Tabanomorpha
Classification:
Rank Name:family
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Project

Parent Project Information:

Title:Central Arizona–Phoenix Long-Term Ecological Research Project
Personnel:
Individual: Daniel Childers
Organization:Arizona State University
Email Address:
dan.childers@asu.edu
Id:https://orcid.org/0000-0003-3904-0803
Role:Principal Investigator
Individual: Nancy Grimm
Organization:Arizona State University
Email Address:
nbgrimm@asu.edu
Id:https://orcid.org/0000-0001-9374-660X
Role:Co-principal Investigator
Individual: Sharon Hall
Organization:Arizona State University
Email Address:
sharonjhall@asu.edu
Id:https://orcid.org/0000-0002-8859-6691
Role:Co-principal Investigator
Individual: Billie Turner II
Organization:Arizona State University
Email Address:
Billie.L.Turner@asu.edu
Id:https://orcid.org/0000-0002-6507-521X
Role:Co-principal Investigator
Individual: Abigail York
Organization:Arizona State University
Email Address:
Abigail.York@asu.edu
Id:https://orcid.org/0000-0002-2313-9262
Role:Co-principal Investigator
Abstract:Phase IV of the Central Arizona-Phoenix LTER (CAP) continues to focus on the question: How do the ecosystem services provided by urban ecological infrastructure (UEI) affect human outcomes and behavior, and how do human actions affect patterns of urban ecosystem structure and function and, ultimately, urban sustainability and resilience? The overarching goal is to foster social-ecological urban research aimed at understanding these complex systems using a holistic, ecology of cities perspective while contributing to an ecology for cities that enhances urban sustainability and resilience. This goal is being met through four broad programmatic objectives: (1) use long-term observations and datasets to articulate and answer new questions requiring a long-term perspective; (2) develop and use predictive models and future-looking scenarios to help answer research questions; (3) employ existing urban ecological theory while articulating new theory; and (4) build transdisciplinary partnerships to foster resilience and enhance sustainability in urban ecosystems while educating urban dwellers of all ages and experiences. CAP IV research is organized around eight interdisciplinary questions and ten long-term datasets and experiments, and researchers are organized into eight Interdisciplinary Research Themes to pursue these long-term research questions.
Funding: NSF Awards: CAP I: DEB-9714833, CAP II: DEB-0423704, CAP III: DEB-1026865, CAP IV: DEB-1832016
Related Project:
Title:Multiscale effects of climate variability and change on hydrologic regimes, ecosystem function, and community structure in a desert stream and its catchment
Personnel:
Individual: Nancy Grimm
Organization:Arizona State University
Email Address:
nbgrimm@asu.edu
Id:https://orcid.org/0000-0001-9374-660X
Role:Principal Investigator
Individual: John Sabo
Organization:Arizona State University
Email Address:
john.l.sabo@asu.edu
Id:https://orcid.org/0000-0001-5259-0709
Role:Co-Principal Investigator
Abstract:The primary objective of this project is to understand how long-term climate variability and change, as expressed through hydrologic regime shifts, influence the structure and function of desert streams. Desert streams are well suited for observing the consequences of climate variability because they experience high hydrologic variability at multiple scales. Researchers will determine how regime shifts influence 1) large-scale stream biogeomorphic structure (i.e., prevalence and persistence of wetlands) over multiple years via their influence on factors that control vegetation biomass, and 2) within-year successional patterns in ecosystem processes and community structure of primary producers and consumers of reaches along a gradient of wetland presence and stability. Arid regions are characterized by high interannual variation in precipitation, and these climate patterns drive the overall disturbance regime (in terms of flooding and drying), which influences the geomorphic structure and nutrient status of desert stream ecosystems. Embedded within the multi-annual hydrologic regime, flash floods scour stream channels and initiate a series of rapid successional changes by benthic algae, aquatic and wetland plants, and macroinvertebrates at short time scales (i.e., within a year); patterns of succession are hypothesized to vary among years within the long-term hydrologic regime. The research will use new techniques developed by the team to analyze the relationships between hydrologic variability, hydrologic regime shifts, and ecosystem and community properties.
Funding: - NSF SUCCESSION-I 1977-1979 DEB-7724478 (Fisher) - NSF SUCCESSION-II 1980-1983 DEB-8004145 (Fisher) - NSF SUCCESSION-III 1984-1987 BSR-8406891 (Fisher) - NSF Postdoc 1987-1989 BSR 87-00122 (Grimm) - NSF STABILITY - 1989-1992 BSR-8818612 (Fisher and Grimm) - NSF TROPHIC STRUCTURE 1990-1992 BSR-9008114 (Fisher, Grimm, and Dudley) - NSF LTREB I - 1991-1996 DEB-9108362 (Grimm and Fisher) - NSF HETEROGENEITY - 1993-1998 DEB-9306909 (Fisher and Grimm) - EPA HYPORHEIC - 1994-1996 #R821250-01-0 (Fisher and Grimm) - NSF LINX I - 1996-1999 - DEB-9628860 (subaward to Grimm, Marti, and Fisher) - NSF LTREB II - 1996-2001 DEB-9615358 (Grimm and Fisher) - NSF LINX II - 2001-2006 DEB-0111410 (subaward to Grimm and Dahm) - NSF LTREB III - 2009-2015 DEB-0918262 (Grimm and Sabo) - NSF LTREB IV - 2015-2020 DEB-1457227 (Grimm and Sabo) - NSF LINKAGES - 1998-2000 DEB-9727311 (Fisher and Grimm) - NSF DDIG - 1998-1999 DEB-9800912 (Dent and Grimm)
Other Metadata

EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

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