Data Package Metadata   View Summary

Long-term monitoring and research of the ecology of the Tres Rios constructed treatment wetland, Phoenix, AZ, ongoing since 2011

General Information
Data Package:
Local Identifier:knb-lter-cap.633.3
Title:Long-term monitoring and research of the ecology of the Tres Rios constructed treatment wetland, Phoenix, AZ, ongoing since 2011
Alternate Identifier:DOI PLACE HOLDER
Abstract:
# Project Description In order to better understand the water, nutrient and treatment dynamics of aridland constructed treatment wetlands, we have developed datasets tracking primary productivity (aboveground and belowground), nutrient and water budget dynamics, soils, and aquatic metabolism at the Tres Rios wetlands, operated by the City of Phoenix Water Services Department, since July 2011. The 3-cell Tres Rios Wetlands were completed in 2010 and are associated with the 91st Avenue Wastewater Treatment Plant, the largest in Phoenix. This project is focused on the largest of the three wetlands treatment cells which was the first to be planted and became operational in Summer 2010. The wetland cells are bounded by roads (the "shoreline"), and the system we study is 42 ha in size, approximately half of which is open water and half of which is fringing vegetated marsh. Water depth is relatively consistent across the marsh (approximately 25cm) and effluent inflow to the cell varies seasonally from 95,000 to over 270,000 m3 d-1. Measurements are taken along two gradients representing the two hydraulic pathways of the system: The whole-system, from inflow to outflow, within the vegetated marsh itself. # Abstract Constructed treatment wetlands (CTW) provide cost effective and ecosystem-service based solutions to the problem of urban wastewater treatment. They are a particularly attractive option for water reuse in arid cities, where water resources are scarce, and understanding CTW function in these environments is critical to facilitating sustainable water use practices. Although CTW are well established and studied in mesic climates, how they function in and respond to hot, arid climates is comparatively not well understood. Specifically, large atmospheric water losses via evaporation and plant transpiration comprise a much larger component of the whole-system water budget than in mesic climates. Additionally, given the primary role that emergent macrophytes play in nitrogen removal, the effects of plant community composition and primary productivity patterns on system performance in the context of aridland constructed treatment wetlands have not been extensively studied. Our goal is to develop a model of how these "working wetlands" perform in arid climates by developing and comparing nutrient and water budgets. At the Tres Rios constructed treatment wetland in Phoenix, AZ, USA, we measure atmospheric water losses via plant transpiration and open water evaporation as well as inorganic nitrogen fluxes at the whole system and the vegetated marsh scales. Total water losses via evaporative pathways peaked at 300,000 m3 per mo-1 (714 L H2O m-2 mo-1) in the hot summer months and represented more than 70% of the whole-system water budget over a 27 month time period. These evaporative losses are nearly an order or magnitude higher than rates observed in mesic systems. Peaks in above-ground biomass ranged from 1586±179 to 2666±164 gdw m-2, with Typha spp. accounting for up to two-thirds of total biomass. Overall, the vegetated marsh removed almost all of the inorganic N supplied to it, and large transpirative water losses were observed to move large volumes of replacement water into the marsh via a plant-mediated "biological tide." This process providing additional opportunities for soil microbes and emergent macrophytes to process target solutes, and potentially enhancing the treatment efficacy of the aridland Tres Rios constructed treatment wetland relative to more humid and mesic systems.
Publication Date:2020-08-11

Time Period
Begin:
2011-07-01
End:
2020-07-22

People and Organizations
Contact:Information Manager (Central Arizona–Phoenix LTER) [  email ]
Creator:Childers, Dan (Arizona State University)
Creator:Mackay, Dax (Arizona State University)
Associate:Sanchez, Christopher (Arizona State University, former associate of project)
Associate:Weller, Nicholas (Arizona State University, former associate of project)

Data Entities
Data Table Name:
633_plant_attributes_d4550e6c0e389edb7956f5c773bb5aef.csv
Description:
Tres Rios: indices of primary productivity. Measurements of various physiological characteristics of individual plants located within study transects at the Tres Rios wetlands. These data are used as inputs into biomass models to calculate above-ground primary productivity.
Data Table Name:
633_transpiration_8955b945a0b49b40794cbd7b304343af.csv
Description:
Tres Rios: transpiration. Measurements of leaf-level gas exchange and micro-climate taken using an infrared gas analyzer on individual plant leaves located within study transects at the Tres Rios wetlands. These instantaneous micro-climate and transpiration data are used as inputs into transpiration and evaporation models that scale these data and estimate whole-system atmospheric water losses.
Data Table Name:
633_typha_leaves_a72198996370e736e77ae3bb972b1f4e.csv
Description:
Tres Rios: indices of primary productivity. Measurements of lenghts of Typha spp. leaves located within study transects at the Tres Rios wetlands. These data are used as inputs into biomass models to calculate above-ground primary productivity
Data Table Name:
633_water_quality_0ae1b77ba27e994f9a4719f50d218b40.csv
Description:
Tres Rios: water_quality. Measurements of water quality taken in situ and from grab samples collected within study transects at the Tres Rios wetlands.
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-cap/633/3/32703ddcf8d41079c1c86dcea62ecf17
Name:633_plant_attributes_d4550e6c0e389edb7956f5c773bb5aef.csv
Description:Tres Rios: indices of primary productivity. Measurements of various physiological characteristics of individual plants located within study transects at the Tres Rios wetlands. These data are used as inputs into biomass models to calculate above-ground primary productivity.
Number of Records:30035
Number of Columns:12

Table Structure
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quadrat  
species  
plant_id  
cdb  
stem_height  
num_seed_stems  
pistillate_length  
pistillate_width  
data_book_ID  
Notes  
Definition:date of observationtransect IDlocation of quadrat along transectplant speciesplant id (for linking to Typha leaves data)Culm diameter of plant stem taken at water surfaceHeight of plant stem (Schoenoplectus spp. Only)Count of seed steams at plant tip (Schoenoplectus spp. Only)Length of pistillate, if present (Typha spp. Only)Width of pistillate, if present (Typha spp. Only)field data book IDnotes
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Definitionlocation of quadrat along transect
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DefinitionSchoenoplectus acutus
Source
Code Definition
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DefinitionSchoenoplectus americanus
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Code Definition
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DefinitionSchoenoplectus californicus
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Code Definition
Codes_maritimus
DefinitionSchoenoplectus maritimus
Source
Code Definition
Codes_tabernaemontani
DefinitionSchoenoplectus tabernaemontani
Source
Code Definition
Codet_domingensis
DefinitionTypha domingensis
Source
Code Definition
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DefinitionTypha latifolia
Source
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Coverage:                        
Methods:                        

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-cap/633/3/21e1c6c6eac5c4f04bf10e539c628a16
Name:633_transpiration_8955b945a0b49b40794cbd7b304343af.csv
Description:Tres Rios: transpiration. Measurements of leaf-level gas exchange and micro-climate taken using an infrared gas analyzer on individual plant leaves located within study transects at the Tres Rios wetlands. These instantaneous micro-climate and transpiration data are used as inputs into transpiration and evaporation models that scale these data and estimate whole-system atmospheric water losses.
Number of Records:2380
Number of Columns:27

Table Structure
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Table Column Descriptions
 
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obs_num  
transect  
species  
section  
photo  
cond  
ci  
trmmol  
VpdL  
Area  
stm_rat  
BLCond  
Tair  
Tleaf  
TBlk  
CO2R  
CO2S  
H2OR  
H2OS  
RH_R  
RH_S  
Flow  
PARi  
PARo  
vp_kPa  
VpdA  
Definition:date and time of observationSequential order in which samples were taken on a given daytransect IDplant speciesVertical location along plant where measurement was taken. T = tip of leaf/stem; B = bottom of leaf/stem; integers represent total distance (cm) above water surface.Rate of photosynthesisConductance to H2OIntercellular CO2 concentrationTranspiration rateVapor pressure deficit based on Leaf temperatureArea of leaf surface in IRGA chamber headStomatal ratio estimateTotal boundary layer conductance for the life (includes stomatal ratio)Temperature in the sample cellTemperature of the leaf thermocoupleTemperature of the cooler blockCO2 concentration inside the reference cellCO2 concentration inside the sample cellH2O concentration inside the reference cellH2O concentration inside the sample cellRelative humidity in the reference cellRelative humidity in the sample cellFlow rate to the sample cellPhotosynthetically active radiation as measured by in-chamber sensorPhotosynthetically active radiation as measured by external sensorAverage vapor pressure deficitVapor pressure deficit based on air temperature
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DefinitionHydroctoyle umbellate
Source
Code Definition
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DefinitionSchoenoplectus acutus
Source
Code Definition
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DefinitionSchoenoplectus acutus OR Schoenoplectus tabernaemontani
Source
Code Definition
Codes_americanus
DefinitionSchoenoplectus americanus
Source
Code Definition
Codes_californicus
DefinitionSchoenoplectus californicus
Source
Code Definition
Codes_maritimus
DefinitionSchoenoplectus maritimus
Source
Code Definition
Codes_tabernaemontani
DefinitionSchoenoplectus tabernaemontani
Source
Code Definition
Codetypha
DefinitionTypha spp.
Source
DefinitionVertical location along plant where measurement was taken. T = tip of leaf/stem; B = bottom of leaf/stem; integers represent total distance (cm) above water surface.
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Min-2867.231611 
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UnitmicromolesPerMole
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UnitmicromolesPerMole
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Accuracy Report:                                                      
Accuracy Assessment:                                                      
Coverage:                                                      
Methods:                                                      

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-cap/633/3/325dbfb3f1c9a304196e6ae9c5697539
Name:633_typha_leaves_a72198996370e736e77ae3bb972b1f4e.csv
Description:Tres Rios: indices of primary productivity. Measurements of lenghts of Typha spp. leaves located within study transects at the Tres Rios wetlands. These data are used as inputs into biomass models to calculate above-ground primary productivity
Number of Records:70525
Number of Columns:9

Table Structure
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Table Column Descriptions
 
Column Name:date  
transect  
quadrat  
species  
plant_id  
data_book_ID  
Notes  
leaf_num  
leaf_length  
Definition:date of observationtransect IDlocation of quadrat along transectplant speciesplant id (for linking to plant attribute data)field data book IDnotesleaf IDlength of individual plant leaf
Storage Type:date  
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FormatYYYY-MM-DD
Precision
Definitiontransect ID
Definitionlocation of quadrat along transect
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codes_acutus
DefinitionSchoenoplectus acutus
Source
Code Definition
Codes_americanus
DefinitionSchoenoplectus americanus
Source
Code Definition
Codes_californicus
DefinitionSchoenoplectus californicus
Source
Code Definition
Codes_maritimus
DefinitionSchoenoplectus maritimus
Source
Code Definition
Codes_tabernaemontani
DefinitionSchoenoplectus tabernaemontani
Source
Code Definition
Codet_domingensis
DefinitionTypha domingensis
Source
Code Definition
Codet_latifolia
DefinitionTypha latifolia
Source
Definitionplant id (for linking to plant attribute data)
Definitionfield data book ID
Definitionnotes
Definitionleaf ID
Unitcentimeter
Typewhole
Min-175 
Max127144 
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Accuracy Assessment:                  
Coverage:                  
Methods:                  

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-cap/633/3/806c691750fbd2e090aa4643605c624b
Name:633_water_quality_0ae1b77ba27e994f9a4719f50d218b40.csv
Description:Tres Rios: water_quality. Measurements of water quality taken in situ and from grab samples collected within study transects at the Tres Rios wetlands.
Number of Records:696
Number of Columns:18

Table Structure
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Table Column Descriptions
 
Column Name:date  
transect  
location  
tp_mgL  
tn_mgL  
doc_mgL  
tdn_mgL  
no3_mgL  
no2_mgL  
nh4_mgL  
cl_mgL  
po4_ugL  
ph  
temperature_c  
conductance_us  
spec_cond_us  
o2_mgL  
o2_percent  
Definition:date of observationtransect IDLocation where sample was taken within transectTotal phosphorus concentrationTotal nitrogen concentrationDissolved organic carbon concentrationTotal dissolved nitrogen concentrationnitrate-nitrogen (NO3-N)nitrite-nitrogen (NO2-N)ammonium-nitrogen (NH4-N)chloride (Cl)phosphate-phosphorus (PO4-P)pHWater temperatureConductanceSpecific conductanceOxygen concentrationpercent dissolved oxygen saturation
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Measurement Type:dateTimenominalnominalratioratioratioratioratioratioratioratioratioratioratioratioratioratioratio
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Precision
Definitiontransect ID
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codeinflow
Definitioninflow
Source
Code Definition
Codeoutflow
Definitionoutflow
Source
Code Definition
Codeshore
Definitionshore
Source
Code Definition
Codewater
Definitionwater
Source
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Typereal
Min1.558 
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UnitmilligramsPerLiter
Typereal
Min0.5549 
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UnitmilligramsPerLiter
Typereal
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Max4720 
UnitmicrogramsPerLiter
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Min0.0556 
Max520 
Unitdimensionless
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Min6.44 
Max8.91 
Unitcelsius
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Min4.1 
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Unitmicrosiemens
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UnitmicrosiemensPerCentimeter
Typenatural
Min0.97 
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UnitmilligramsPerLiter
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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 vocabularywetlands, biomass, evaporation, evapotranspiration, primary productivity, water quality, nutrients, nitrogen, phosphorus, gas flux, transpiration
LTER core areasprimary production, movement of organic matter, movement of inorganic matter, water and fluxes, parks and rivers
Creator Defined Keyword Settres rios, treatment wetlands, constructed wetlands
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:
# Transpiration Leaf-specific transpiration rates were measured using a LICOR LI-6400 infrared gas analyzer bi-monthly along marsh transects that contained all species groups. Measurements were made on individual plant leaves at 50-cm intervals from the water surface to the top of the plant canopy. Where plants did not have leaves but only thick stems (Schoenoplectus spp.), we used custom-made extensions of the stock LI-6400 IRGA sampling chamber to ensure an airtight seal without damaging plant tissue. Gas flux data were collected on one transect at a time from sunrise until as late as possible. These data included measurements of leaf-specific transpiration rate (Tr mmol H m-2 sec -1), photosynthetically active radiation (PAR, μmol photons), relative humidity (%), and ambient air temperature (degrees celsius), all of which were captured using the IRGA's default sensors. While the IRGA reports transpiration data in units of leaf surface area, we expressed them in units of dry weight biomass by weighing 8-10 samples of different tissue samples from the IRGA's chamber and generating relationships between dry weight biomass and surface area for all plant species. To scale the daily plant-specific transpiration measurements across space, IRGA measurements corrected for dry-weight biomass we to re combined with whole system live macrophyte biomass estimates as calculated by the bimonthly data collected along the 10 sampling transects (see biomass section for details). To scale the plant-specific measurements in time, micrometeorological data as collected by the IRGA at the time of transpiration sampling were regressed with simultaneous data from an on-site meteorological station operated by the City of Phoenix. In addition, as plant transpiration in Tres Rios is largely driven by temperature, photosynthetically active radiation, and humidity, we regressed plant transpiration rates against these variables to be able to predict transpiration using meteorological data. Combined with the IRGA-meteorological station regressions, these models allowed us to interpolate our plant-specific measurements through time, resulting in total transpiration losses for the whole system (m3/mo-1). See Sanchez et al. (2016; DOI: 10.1016/j.ecoleng.2016.01.002) for more details. # Biomass We used a point intercept transect approach across 10 approximately 50m transects that were evenly distributed across the wetland cell from inflow to outflow. Every two months we measured live aboveground biomass in five 0.25m2 quadrats that were randomly distributed along each transect. In each quadrat, we measured plant culm and various plant characteristics (stem height, number of leaves, etc.) and converted these measurements to dry weight biomass for each plant using established phenometric biomass models (see Weller et al. 2016 (DOI: 10.1016/j.ecoleng.2015.05.044) for more detail). Plant weights in each quadrat were summed for each quadrat. These measurements were scaled to the whole-system by averaging quadrat-specific estimates across each transect, multiplying by 1/10th of the total vegetated area (21ha), and summing across all transects. # Water Quality We used a point intercept transect approach across 10 approximately 50m transects that were evenly distributed across the wetland cell from inflow to outflow. These are the same transects used for biomass measurements. Bimonthly triplicate surface water grab samples were collected at the whole-system inflow and outflow using acid-washed 1 L Nalgene bottles, while single grab samples were collected at the beginning and end of each transect. A Lachat QC 8000 Quickchem Flow Injection Analyzer (detection limit 0.85 μg NO3-N L-1 and 3.01 μg NH4- N L-1) was used to centrifuge and analyze unfiltered samples for inorganic nitrogen (NO3-, NO2-, and NH4+) and soluble reactive phosphorus (SRP, PO4-3). At the sample locations where grab samples were taken, a YSI Pro 2030 meter was used to measure conductance and temperature while a YSI Ecosense ph100 meter was used to measure pH.

People and Organizations

Publishers:
Organization:Central Arizona–Phoenix LTER
Address:
Arizona State University,
Global Institute of Sustainability,
Tempe, AZ 85287-5402 USA
Creators:
Individual: Dan Childers
Organization:Arizona State University
Email Address:
dan.childers@asu.edu
Id:https://orcid.org/0000-0003-3904-0803
Individual: Dax Mackay
Organization:Arizona State University
Email Address:
Dax.Mackay@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: Christopher Sanchez
Organization:Arizona State University
Email Address:
casanch9@asu.edu
Id:https://orcid.org/0000-0002-2155-0197
Role:former associate of project
Individual: Nicholas Weller
Organization:Arizona State University
Email Address:
nicholas.weller@asu.edu
Role:former associate of project
Metadata Providers:
Individual: Christopher Sanchez
Organization:Arizona State University
Email Address:
casanch9@asu.edu
Id:https://orcid.org/0000-0002-2155-0197
Individual: Dax Mackay
Organization:Arizona State University
Email Address:
Dax.Mackay@asu.edu

Temporal, Geographic and Taxonomic Coverage

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

Time Period
Begin:
2011-07-01
End:
2020-07-22
Geographic Region:
Description:CAP LTER study area
Bounding Coordinates:
Northern:  33.437Southern:  33.43
Western:  -111.949Eastern:  -111.91
Taxonomic Range:
Classification:
Rank Name:kingdom
Rank Value:Plantae
Classification:
Rank Name:subkingdom
Rank Value:Viridiplantae
Classification:
Rank Name:infrakingdom
Rank Value:Streptophyta
Classification:
Rank Name:superdivision
Rank Value:Embryophyta
Classification:
Rank Name:division
Rank Value:Tracheophyta
Classification:
Rank Name:subdivision
Rank Value:Spermatophytina
Classification:
Rank Name:class
Rank Value:Magnoliopsida
Classification:
Rank Name:superorder
Rank Value:Lilianae
Classification:
Rank Name:order
Rank Value:Poales
Classification:
Rank Name:family
Rank Value:Cyperaceae
Classification:
Rank Name:genus
Rank Value:Schoenoplectus
Classification:
Rank Name:species
Rank Value:Schoenoplectus acutus
Classification:
Rank Name:kingdom
Rank Value:Plantae
Classification:
Rank Name:subkingdom
Rank Value:Viridiplantae
Classification:
Rank Name:infrakingdom
Rank Value:Streptophyta
Classification:
Rank Name:superdivision
Rank Value:Embryophyta
Classification:
Rank Name:division
Rank Value:Tracheophyta
Classification:
Rank Name:subdivision
Rank Value:Spermatophytina
Classification:
Rank Name:class
Rank Value:Magnoliopsida
Classification:
Rank Name:superorder
Rank Value:Lilianae
Classification:
Rank Name:order
Rank Value:Poales
Classification:
Rank Name:family
Rank Value:Cyperaceae
Classification:
Rank Name:genus
Rank Value:Schoenoplectus
Classification:
Rank Name:species
Rank Value:Schoenoplectus americanus
Classification:
Rank Name:kingdom
Rank Value:Plantae
Classification:
Rank Name:subkingdom
Rank Value:Viridiplantae
Classification:
Rank Name:infrakingdom
Rank Value:Streptophyta
Classification:
Rank Name:superdivision
Rank Value:Embryophyta
Classification:
Rank Name:division
Rank Value:Tracheophyta
Classification:
Rank Name:subdivision
Rank Value:Spermatophytina
Classification:
Rank Name:class
Rank Value:Magnoliopsida
Classification:
Rank Name:superorder
Rank Value:Lilianae
Classification:
Rank Name:order
Rank Value:Poales
Classification:
Rank Name:family
Rank Value:Cyperaceae
Classification:
Rank Name:genus
Rank Value:Schoenoplectus
Classification:
Rank Name:species
Rank Value:Schoenoplectus californicus
Classification:
Rank Name:species
Rank Value:Schoenoplectus maritimus
Classification:
Rank Name:kingdom
Rank Value:Plantae
Classification:
Rank Name:subkingdom
Rank Value:Viridiplantae
Classification:
Rank Name:infrakingdom
Rank Value:Streptophyta
Classification:
Rank Name:superdivision
Rank Value:Embryophyta
Classification:
Rank Name:division
Rank Value:Tracheophyta
Classification:
Rank Name:subdivision
Rank Value:Spermatophytina
Classification:
Rank Name:class
Rank Value:Magnoliopsida
Classification:
Rank Name:superorder
Rank Value:Lilianae
Classification:
Rank Name:order
Rank Value:Poales
Classification:
Rank Name:family
Rank Value:Cyperaceae
Classification:
Rank Name:genus
Rank Value:Schoenoplectus
Classification:
Rank Name:species
Rank Value:Schoenoplectus tabernaemontani
Classification:
Rank Name:kingdom
Rank Value:Plantae
Classification:
Rank Name:subkingdom
Rank Value:Viridiplantae
Classification:
Rank Name:infrakingdom
Rank Value:Streptophyta
Classification:
Rank Name:superdivision
Rank Value:Embryophyta
Classification:
Rank Name:division
Rank Value:Tracheophyta
Classification:
Rank Name:subdivision
Rank Value:Spermatophytina
Classification:
Rank Name:class
Rank Value:Magnoliopsida
Classification:
Rank Name:superorder
Rank Value:Lilianae
Classification:
Rank Name:order
Rank Value:Poales
Classification:
Rank Name:family
Rank Value:Typhaceae
Classification:
Rank Name:genus
Rank Value:Typha
Classification:
Rank Name:species
Rank Value:Typha domingensis
Classification:
Rank Name:kingdom
Rank Value:Plantae
Classification:
Rank Name:subkingdom
Rank Value:Viridiplantae
Classification:
Rank Name:infrakingdom
Rank Value:Streptophyta
Classification:
Rank Name:superdivision
Rank Value:Embryophyta
Classification:
Rank Name:division
Rank Value:Tracheophyta
Classification:
Rank Name:subdivision
Rank Value:Spermatophytina
Classification:
Rank Name:class
Rank Value:Magnoliopsida
Classification:
Rank Name:superorder
Rank Value:Lilianae
Classification:
Rank Name:order
Rank Value:Poales
Classification:
Rank Name:family
Rank Value:Typhaceae
Classification:
Rank Name:genus
Rank Value:Typha
Classification:
Rank Name:species
Rank Value:Typha latifolia
Classification:
Rank Name:kingdom
Rank Value:Plantae
Classification:
Rank Name:subkingdom
Rank Value:Viridiplantae
Classification:
Rank Name:infrakingdom
Rank Value:Streptophyta
Classification:
Rank Name:superdivision
Rank Value:Embryophyta
Classification:
Rank Name:division
Rank Value:Tracheophyta
Classification:
Rank Name:subdivision
Rank Value:Spermatophytina
Classification:
Rank Name:class
Rank Value:Magnoliopsida
Classification:
Rank Name:superorder
Rank Value:Asteranae
Classification:
Rank Name:order
Rank Value:Apiales
Classification:
Rank Name:family
Rank Value:Araliaceae
Classification:
Rank Name:genus
Rank Value:Hydrocotyle
Classification:
Rank Name:species
Rank Value:Hydrocotyle umbellata
Classification:
Rank Name:kingdom
Rank Value:Plantae
Classification:
Rank Name:subkingdom
Rank Value:Viridiplantae
Classification:
Rank Name:infrakingdom
Rank Value:Streptophyta
Classification:
Rank Name:superdivision
Rank Value:Embryophyta
Classification:
Rank Name:division
Rank Value:Tracheophyta
Classification:
Rank Name:subdivision
Rank Value:Spermatophytina
Classification:
Rank Name:class
Rank Value:Magnoliopsida
Classification:
Rank Name:superorder
Rank Value:Lilianae
Classification:
Rank Name:order
Rank Value:Poales
Classification:
Rank Name:family
Rank Value:Cyperaceae
Classification:
Rank Name:genus
Rank Value:Schoenoplectus
Classification:
Rank Name:species
Rank Value:Schoenoplectus acutus
Classification:
Rank Name:kingdom
Rank Value:Plantae
Classification:
Rank Name:subkingdom
Rank Value:Viridiplantae
Classification:
Rank Name:infrakingdom
Rank Value:Streptophyta
Classification:
Rank Name:superdivision
Rank Value:Embryophyta
Classification:
Rank Name:division
Rank Value:Tracheophyta
Classification:
Rank Name:subdivision
Rank Value:Spermatophytina
Classification:
Rank Name:class
Rank Value:Magnoliopsida
Classification:
Rank Name:superorder
Rank Value:Lilianae
Classification:
Rank Name:order
Rank Value:Poales
Classification:
Rank Name:family
Rank Value:Typhaceae
Classification:
Rank Name:genus
Rank Value:Typha

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
Additional Award Information:
Funder:National Science Foundation
Funder ID:https://ror.org/021nxhr62
Number:1832016
Title:LTER: CAP IV - Investigating urban ecology and sustainability through the lens of Urban Ecological Infrastructure
URL:https://nsf.gov/awardsearch/showAward?AWD_ID=1832016&HistoricalAwards=false
Other Metadata

Additional Metadata

additionalMetadata
        |___text '\n    '
        |___element 'metadata'
        |     |___text '\n      '
        |     |___element 'unitList'
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'micromolesPerMeterSquaredPerSecond'
        |     |     |     |  \___attribute 'multiplierToSI' = '1000000'
        |     |     |     |  \___attribute 'name' = 'micromolesPerMeterSquaredPerSecond'
        |     |     |     |  \___attribute 'parentSI' = 'molesPerMeterSquaredPerSecond'
        |     |     |     |  \___attribute 'unitType' = 'arealAmountOfSubstanceConcentrationRate'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'molesPerMeterSquaredPerSecond'
        |     |     |     |  \___attribute 'multiplierToSI' = '1'
        |     |     |     |  \___attribute 'name' = 'molesPerMeterSquaredPerSecond'
        |     |     |     |  \___attribute 'parentSI' = 'molesPerMeterSquaredPerSecond'
        |     |     |     |  \___attribute 'unitType' = 'arealAmountOfSubstanceConcentrationRate'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'unknown'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'micromolesPerMole'
        |     |     |     |  \___attribute 'multiplierToSI' = 'unknown'
        |     |     |     |  \___attribute 'name' = 'micromolesPerMole'
        |     |     |     |  \___attribute 'parentSI' = ''
        |     |     |     |  \___attribute 'unitType' = 'unknown'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'unknown'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'millimolesPerMeterSquarePerSecond'
        |     |     |     |  \___attribute 'multiplierToSI' = 'unknown'
        |     |     |     |  \___attribute 'name' = 'millimolesPerMeterSquarePerSecond'
        |     |     |     |  \___attribute 'parentSI' = 'molesPerMeterSquaredPerSecond'
        |     |     |     |  \___attribute 'unitType' = 'arealAmountOfSubstanceConcentrationRate'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'unknown'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'micromolesPerSecond'
        |     |     |     |  \___attribute 'multiplierToSI' = 'unknown'
        |     |     |     |  \___attribute 'name' = 'micromolesPerSecond'
        |     |     |     |  \___attribute 'parentSI' = 'molePerSecond'
        |     |     |     |  \___attribute 'unitType' = 'mole flow rate'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'unknown'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'microsiemens'
        |     |     |     |  \___attribute 'multiplierToSI' = '1.0E-6'
        |     |     |     |  \___attribute 'name' = 'microsiemens'
        |     |     |     |  \___attribute 'parentSI' = 'siemens'
        |     |     |     |  \___attribute 'unitType' = 'electrical conductance'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'microsiemens is equivalent to 1.0E-6 siemens, the SI derived unit of electric conductance equal to inverse ohm'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'microsiemensPerCentimeter'
        |     |     |     |  \___attribute 'multiplierToSI' = '0.0001'
        |     |     |     |  \___attribute 'name' = 'microsiemensPerCentimeter'
        |     |     |     |  \___attribute 'parentSI' = 'siemensPerMeter'
        |     |     |     |  \___attribute 'unitType' = 'electrical conductance per length'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'derivative of the standard SI unit of electrical conductance (specific conductance)'
        |     |     |     |___text '\n        '
        |     |     |___text '\n      '
        |     |___text '\n    '
        |___text '\n  '

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