Data Package Metadata   View Summary

Morphological and nutritional characteristics of Gambel's Quail, Callipepla gambelii, in the greater Phoenix metropolitan area, Arizona (July-September 2015)

General Information
Data Package:
Local Identifier:knb-lter-cap.683.1
Title:Morphological and nutritional characteristics of Gambel's Quail, Callipepla gambelii, in the greater Phoenix metropolitan area, Arizona (July-September 2015)
Abstract:

Gambel’s Quail, Callipepla gambelii, are gregarious birds commonly found in the southwestern deserts of the United States and Northwestern Mexico. With expanding urbanization, these birds are often found in exurban and suburban areas where they have access to food sources that may differ from those used by birds living in rural-urban fringes. To investigate this question, we compared the morphology and nutritional physiology of quail sampled at sites varying with respect to land use and cover. We hypothesized that quail living in urbanized areas have access to a greater variety of food sources and to more stable food resources, and so are in better body condition, than quail residing in less urbanized areas. We sampled birds at locations in the Phoenix, Arizona (USA) area, that vary with respect to land use and cover types. Birds were weighed and we measured their body length and chest circumference. A blood sample was collected from the jugular vein of each individual for analysis of plasma glucose, total proteins, triglycerides, and free glycerol using commercially available kits. Consistent with our hypothesis, birds living in more urbanized environments were longer, and they had larger chest circumferences and greater circulating triglyceride concentrations than birds living in less developed areas, suggesting greater access to lipid-rich foods. In addition, the abundance of grass at the sampling sites was associated positively with plasma protein concentrations but negatively with plasma free glycerol levels. Areas with more grass may provide birds with less dietary fats than the diet of urban birds, resulting in the breakdown of triglycerides into free glycerol. These findings are the first to demonstrate an association between urbanization and the morphology and nutritional physiology of Gambel’s Quail.

Publication Date:2020-05-22

Time Period
Begin:
2015-07-01
End:
2015-09-30

People and Organizations
Contact:Information Manager (Central Arizona–Phoenix LTER) [  email ]
Creator:Funk, Alexander (Arizona State University)
Creator:Sweazea, Karen (Arizona State University)

Data Entities
Data Table Name:
683_morphology_nutrition_e592f9f8b6f9d0e1e84affa63f149758.csv
Description:
Air and substrate temperature, and morphological and nutritional physiology measurements of Gambel's Quail (Callipepla gambelii) at sampling sites in the greater Phoenix metropolitan area (July-September 2015)
Data Table Name:
683_sampling_location_beb5ca1e28c742d7a89c9752ba2e9e62.csv
Description:
textual_description
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-cap/683/1/2c12a8bbd1b22bd59ae83a2301bc711a
Name:683_morphology_nutrition_e592f9f8b6f9d0e1e84affa63f149758.csv
Description:Air and substrate temperature, and morphological and nutritional physiology measurements of Gambel's Quail (Callipepla gambelii) at sampling sites in the greater Phoenix metropolitan area (July-September 2015)
Number of Records:22
Number of Columns:12

Table Structure
Object Name:683_morphology_nutrition_e592f9f8b6f9d0e1e84affa63f149758.csv
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Authentication:e592f9f8b6f9d0e1e84affa63f149758 Calculated By MD5
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Table Column Descriptions
 
Column Name:site  
Animal  
Air Temp  
Body Length  
Chest Circum  
Animal Temp  
Substrate Temp  
Body Mass  
Free Glycerol  
TG  
Protein  
Glucose  
Definition:sampling location identifierstudy animal identifierair temperature measured at time of collectionanimal body lengthanimal chest circumferenceanimal temperaturesubstrate temperature measured at time of collectionanimal body massanimal plasma free glycerolanimal plasma triglyceridesanimal plasma total proteinanimal plasma glucose
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Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-cap/683/1/5383d6e53d7668a3c3e0a9fef4a174b3
Name:683_sampling_location_beb5ca1e28c742d7a89c9752ba2e9e62.csv
Description:textual_description
Number of Records:7
Number of Columns:14

Table Structure
Object Name:683_sampling_location_beb5ca1e28c742d7a89c9752ba2e9e62.csv
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Table Column Descriptions
 
Column Name:site  
latitude  
longitude  
ActiveCropland  
Building  
Grass  
InactiveCropland  
Lake  
Road  
Shrub  
Soil  
SwimmingPool  
Tree  
meanLST  
Definition:sampling location identifierlatitude of sampling locationlongitude of sampling locationnumber of pixels of this land use, land cover type in a 1-kilomter radius area around the sampling locationnumber of pixels of this land use, land cover type in a 1-kilomter radius area around the sampling locationnumber of pixels of this land use, land cover type in a 1-kilomter radius area around the sampling locationnumber of pixels of this land use, land cover type in a 1-kilomter radius area around the sampling locationnumber of pixels of this land use, land cover type in a 1-kilomter radius area around the sampling locationnumber of pixels of this land use, land cover type in a 1-kilomter radius area around the sampling locationnumber of pixels of this land use, land cover type in a 1-kilomter radius area around the sampling locationnumber of pixels of this land use, land cover type in a 1-kilomter radius area around the sampling locationnumber of pixels of this land use, land cover type in a 1-kilomter radius area around the sampling locationnumber of pixels of this land use, land cover type in a 1-kilomter radius area around the sampling locationLand Surface Temperature (LST) calculated from Landsat 8 imagery (30-m resolution) from summer 2015 (2015-08-27) in a 1-kilomter radius area around the sampling location
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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 vocabularyphysiology, land use, land cover, birds
LTER core areasadapting to city life, land use and land cover change, population studies
Creator Defined Keyword Setglucose, fatty acids, triglycerides, glycerol, callipepla gambelii, quail, nutrition
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:
# Animal capture and sampling Adult male Gambel's Quail (*Callipepla gambelii*) were captured from 7 locations around Weddell and Surprise, AZ, USA using Potter traps baited with seeds and grains as well as recordings of conspecific contact calls. All birds were captured between July and September 2015, and within 5 hours after sunrise. All birds were banded to avoid recapture and released at the site of capture immediately after sample collection and body measurements. Scientific collecting and banding permits were obtained from the Arizona Game and Fish Department, and experimental procedures were approved by the Arizona State University Institutional Animal Care and Use Committee (IACUC). # Environmental variables Ambient air and ground temperature at the time of sampling were measured (to the nearest 1 degree C) using an infrared thermometer. Because conditions at the times of capture may not reflect the environmental conditions generally, we also calculated average Land Surface Temperature (LST, degree C) from remotely-sensed data collected during summer months of 2015 (Stuhlmacher and Watkins, 2019) within a 1-km radius of the sampling locations. To assess relationships among the morphological and physiological features of quail, and resources associated with urban and rural environments, we characterized the land use and land cover (LULC) within a 1-km radius around the sampling locations. We quantified the number of pixels for twelve LULC types (Building, Road, Soil (i.e., bare ground), Tree, Grass, Shrub, Active Cropland, Inactive Cropland, Orchard, Lake, Canal, Swimming Pool) around each sampling location a using land cover classification based on 1-m resolution satellite imagery (Li, 2015). We used principal component analysis (PCA) to derive two principal components that explained >81% (PC1 = 52.4%, PC2 = 28.7%) of the variation in LULC surrounding the sampling locations. PC1 generally reflected a gradient from urban to rural, loading positively with features such as buildings, roads, and swimming pools, and negatively with cropland, particularly inactive cropland. PC2 also reflected an urbanization gradient but from other urban features, loading positively with grass and lakes (urban features in central Arizona), and negatively with shrubs and soil. # Blood collection Traps were continuously monitored, and a small sample of blood <200 microliter was collected from the jugular vein using a 27-gauge heparin-coated needle immediately upon capture to avoid stress-induced alterations to plasma metabolites. Lidocaine-containing cream was applied topically prior to blood collection as an analgesic. Blood was transferred to microcentrifuge tubes and samples were placed on ice until transport to the laboratory where they were centrifuged at 13,000 rpm (x g) to separate formed elements from plasma. Plasma was stored at -80 degree C until analyses. # Morphometrics After blood collection, skin temperature was measured under the wing to the nearest 0.1 degree using a digital infrared thermometer according to the methods of McCafferty et al. (2015). Body mass was measured to the nearest 0.01 g using a portable balance. Body length from the crown to the cloaca and chest circumference including enfolded wings were measured (in cm) using flexible tension tape. # Blood analyses Plasma triglycerides and free glycerol were measured using a commercially available kit (TR0100; Sigma Aldrich, St. Louis, MO). Plasma total protein concentrations were measured according to the Bradford method (BioRad, Hercules, CA). Plasma glucose concentrations were measured using a kit that detects glucose using the glucose oxidase method (10009582; Cayman Chemical, Ann Arbor, MI). # Literature cited - Li X. 2015. CAP LTER land cover classification using 2010 National Agriculture Imagery Program (NAIP) Imagery. Environmental Data Initiative. https://doi.org/10.6073/pasta/f4aced7e801f1b5e14b43cf755199c04. - McCafferty, D.J., Gallon, S., Nord, A., 2015. Challenges of measuring body temperatures of free-ranging birds and mammals. Anim. Biotelem. 3:33. - Stuhlmacher, M. and L. Watkins. 2019. Remotely-sensed Land Surface Temperature (LST) for the central Arizona region during summer months over five-year periods: 1985-2015 ver 1. Environmental Data Initiative. https://doi.org/10.6073/pasta/c526299a0e4e4f7d6e921aac18528e24.
Description:

This method step describes provenance-based metadata as specified in the LTER EML Best Practices.

This provenance metadata does not contain entity specific information.

Data Source
CAP LTER land cover classification using 2010 National Agriculture Imagery Program (NAIP) Imagery
Description:

This method step describes provenance-based metadata as specified in the LTER EML Best Practices.

This provenance metadata does not contain entity specific information.

Data Source
Remotely-sensed Land Surface Temperature (LST) for the central Arizona region during summer months over five-year periods: 1985-2015

People and Organizations

Publishers:
Organization:Central Arizona–Phoenix LTER
Address:
Arizona State University,
Global Institute of Sustainability,
Tempe, AZ 85287-5402 USA
Creators:
Individual: Alexander Funk
Organization:Arizona State University
Individual: Karen Sweazea
Organization:Arizona State University
Email Address:
Karen.Sweazea@asu.edu
Id:https://orcid.org/0000-0003-0345-40860
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/
Metadata Providers:
Individual: Karen Sweazea
Organization:Arizona State University
Email Address:
Karen.Sweazea@asu.edu
Id:https://orcid.org/0000-0003-0345-40860

Temporal, Geographic and Taxonomic Coverage

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

Time Period
Begin:
2015-07-01
End:
2015-09-30
Geographic Region:
Description:CAP LTER study area
Bounding Coordinates:
Northern:  33.6295Southern:  33.5172
Western:  -112.4614Eastern:  -112.3932
Taxonomic Range:
Classification:
Rank Name:kingdom
Rank Value:Animalia
Classification:
Rank Name:subkingdom
Rank Value:Bilateria
Classification:
Rank Name:infrakingdom
Rank Value:Deuterostomia
Classification:
Rank Name:phylum
Rank Value:Chordata
Classification:
Rank Name:subphylum
Rank Value:Vertebrata
Classification:
Rank Name:infraphylum
Rank Value:Gnathostomata
Classification:
Rank Name:superclass
Rank Value:Tetrapoda
Classification:
Rank Name:class
Rank Value:Aves
Classification:
Rank Name:order
Rank Value:Galliformes
Classification:
Rank Name:family
Rank Value:Odontophoridae
Classification:
Rank Name:genus
Rank Value:Callipepla
Classification:
Rank Name:species
Rank Value:Callipepla gambelii

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
Other Metadata

Additional Metadata

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