Sycamore Creek macroinvertebrate collections after flooding event
Author(s):
- 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
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 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.
Keywords:
Temporal Coverage:
1985-02-27 to 1999-06-17Geographic Coverage:
Geographic Description: Sycamore CreekBounding Coordinates:
Longitude:-111.541000 to -111.541000
Latitude:33.694100 to 33.694100
Contact:
Information Manager,Global Institute of Sustainability,Arizona State University,POB 875402,Tempe
caplter.data@asu.edu
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 |
integer | |
taxon_id | Name of taxon |
string | |
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 |
string | |
taxa_id | id of the taxa |
integer |
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 |
integer | |
taxa_id | taxon ID |
integer | |
parallel | here parallel identifies the sample |
string | |
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 |