Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.jtherbio.2015.02.009 |
Using motion-sensor camera technology to infer seasonal activity and thermal niche of the desert tortoise (Gopherus agassizii) | |
Agha, Mickey1; Augustine, Benjamin2; Lovich, Jeffrey E.3; Delaney, David4; Sinervo, Barry5; Murphy, Mason O.6; Ennen, Joshua R.7; Briggs, Jessica R.8; Cooper, Robert5; Price, Steven J.1 | |
通讯作者 | Price, Steven J. |
来源期刊 | JOURNAL OF THERMAL BIOLOGY
![]() |
ISSN | 0306-4565 |
出版年 | 2015 |
卷号 | 49-50页码:119-126 |
英文摘要 | Understanding the relationships between environmental variables and wildlife activity is an important part of effective management. The desert tortoise (Gopherus agassizii), an imperiled species of arid environments in the southwest US, may have increasingly restricted windows for activity due to current warming trends. In summer 2013, we deployed 48 motion sensor cameras at the entrances of tortoise burrows to investigate the effects of temperature, sex, and day of the year on the activity of desert tortoises. Using generalized estimating equations, we found that the relative probability of activity was associated with temperature (linear and quadratic), sex, and day of the year. Sex effects showed that male tortoises are generally more active than female tortoises. Temperature had a quadratic effect, indicating that tortoise activity was heightened at a range of temperatures. In addition, we found significant support for interactions between sex and day of the year, and sex and temperature as predictors of the probability of activity. Using our models, we were able to estimate air temperatures and times (days and hours) that were associated with maximum activity during the study. Because tortoise activity is constrained by environmental conditions such as temperature, it is increasingly vital to conduct studies on how tortoises vary their activity throughout the Sonoran Desert to better understand the effects of a changing climate. (C) 2015 Elsevier Ltd. All rights reserved. |
英文关键词 | Resource Selection Functions Desert southwest Climate change Normal mixture models Wildlife management |
类型 | Article |
语种 | 英语 |
国家 | USA |
收录类别 | SCI-E |
WOS记录号 | WOS:000352039200015 |
WOS关键词 | WIND-ENERGY FACILITY ; GENERALIZED ESTIMATING EQUATIONS ; AKAIKES INFORMATION CRITERION ; TURTLE PSEUDEMYS-SCRIPTA ; BASKING BEHAVIOR ; BODY-TEMPERATURE ; SOUTHERN CALIFORNIA ; CLIMATIC VARIATION ; WILDLIFE RESEARCH ; ACTIVITY PATTERNS |
WOS类目 | Biology ; Zoology |
WOS研究方向 | Life Sciences & Biomedicine - Other Topics ; Zoology |
来源机构 | United States Geological Survey ; Colorado State University |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/189024 |
作者单位 | 1.Univ Kentucky, Dept Forestry, Lexington, KY 40546 USA; 2.Virginia Tech, Dept Fish & Wildlife Conservat, Blacksburg, VA 24061 USA; 3.US Geol Survey, Southwest Biol Sci Ctr, Flagstaff, AZ 86001 USA; 4.US Army, Construct Engn Res Lab, Champaign, IL 61826 USA; 5.Univ Calif Santa Cruz, Dept Ecol & Evolutionary Biol, Santa Cruz, CA 95064 USA; 6.Univ Kentucky, Dept Biol, Lexington, KY 40546 USA; 7.Tennessee Aquarium Conservat Inst, Chattanooga, TN 37402 USA; 8.Colorado State Univ, Warner Coll Nat Resources, Ft Collins, CO 80523 USA |
推荐引用方式 GB/T 7714 | Agha, Mickey,Augustine, Benjamin,Lovich, Jeffrey E.,et al. Using motion-sensor camera technology to infer seasonal activity and thermal niche of the desert tortoise (Gopherus agassizii)[J]. United States Geological Survey, Colorado State University,2015,49-50:119-126. |
APA | Agha, Mickey.,Augustine, Benjamin.,Lovich, Jeffrey E..,Delaney, David.,Sinervo, Barry.,...&Price, Steven J..(2015).Using motion-sensor camera technology to infer seasonal activity and thermal niche of the desert tortoise (Gopherus agassizii).JOURNAL OF THERMAL BIOLOGY,49-50,119-126. |
MLA | Agha, Mickey,et al."Using motion-sensor camera technology to infer seasonal activity and thermal niche of the desert tortoise (Gopherus agassizii)".JOURNAL OF THERMAL BIOLOGY 49-50(2015):119-126. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。