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Sycamore Creek macroinvertebrate collections after flooding event

Publication date: 2007


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


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 charac¬ter¬ized 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.


Temporal Coverage:

1985-02-27 to 1999-06-17

Geographic Coverage:

Geographic Description: Sycamore Creek
Bounding Coordinates:
Longitude:-111.541000 to -111.541000
Latitude:33.694100 to 33.694100


Information Manager, 
Global Institute of Sustainability,Arizona State University,POB 875402,Tempe

Methods used in producing this dataset: Show

Data Files (3) :

Tabular: 375_macroinvertebrates.csv

Description: individual counts per species and sample

Column Description Type Units
sample_id Unique, automotically generated ID number
taxon_id Name of taxon
individuals Abundance pooled across five sample cores, each 0.008 m2 in area. Density per square meter is calculated by dividing these values by 0.04.
float dimensionless
sample_date Date sample was taken
datetime Format: YYYY-MM-DD
days_past_flood Number of days past the last flood
float dimensionless

Tabular: 266_insect_taxa_1.csv

Description: lookup table for taxon names

Column Description Type Units
taxa name of the taxa
taxa_id id of the taxa

Tabular: 266_insects_1.csv

Description: indivdual counts and size measurements of insects in samples

Column Description Type Units
ID id of each row. Uniquely identifies each of the row
taxa_id taxon ID
parallel here parallel identifies the sample
size_less2 number of indivduals with size less than 2mm
integer dimensionless
size_2_5 number of individuals with size between 2mm and 5mm
integer dimensionless
size_greater5 number of individuals with size greater than 5mm
integer dimensionless
sample_date the date on which the sample was taken
datetime Format: YYYY-MM-DD

Download EML Metadata for this data package