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美国伊利诺伊州白尾鹿栖息地质量建模的更新框架

An Updated Framework for Modeling White-Tailed Deer () Habitat Quality in Illinois, USA.

作者信息

Mori Jameson, Brown William, Skinner Daniel, Schlichting Peter, Novakofski Jan, Mateus-Pinilla Nohra

机构信息

Illinois Natural History Survey University of Illinois Urbana-Champaign Champaign Illinois USA.

Division of Wildlife Resources Illinois Department of Natural Resources Springfield Illinois USA.

出版信息

Ecol Evol. 2024 Nov 3;14(11):e70487. doi: 10.1002/ece3.70487. eCollection 2024 Nov.

DOI:10.1002/ece3.70487
PMID:39493618
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11531931/
Abstract

White-tailed deer () are a cervid species found mostly in the Americas. Managing white-tailed deer requires understanding their relationship with the environment, which was characterized by Roseberry and Woolf (Wildlife Society Bulletin , 1998, 252) for all counties in Illinois, USA, who incorporated habitat quantity and quality in a deer habitat suitability index. However, this index was based on satellite imagery from 1996 and did not explore the smaller spatial scales used by deer. Our study addressed these gaps by developing a deer land cover utility (LCU) score for each TRS (township, range, and section), township, and county in Illinois based on the methodology outlined in Roseberry and Woolf (Wildlife Society Bulletin , 1998, 252) but using data from the National Land Cover Database (2001-2021). These deer LCU scores were validated against minimum deer population data using Bayesian regression with additional covariates relevant to hunting and deer density. These models performed well with Bayesian values of 0.501 (TRS), 0.5 (township), and 0.969 (county). The regression coefficients for the deer LCU scores were statistically significant (95% credibility interval not containing 0) and positive at the TRS, township, and county levels, reflecting the expected relationship between minimum deer density and deer LCU. Predictions made by these regression models on new data were accurate, with the median absolute difference between the true and predicted values being 0.398 deer/km for TRS', 0.085 deer/km for townships, and 0.066 deer/km for counties. This deer LCU could be used in other studies about deer in Illinois or studies in which deer are a relevant factor such as investigations about deer disease or tick distribution. This modeling approach could also be adapted to different wild species, locations, and/or time periods for which land cover data is available.

摘要

白尾鹿()是一种主要分布在美洲的鹿科动物。管理白尾鹿需要了解它们与环境的关系,美国伊利诺伊州所有县的这种关系由罗斯伯里和伍尔夫(《野生动物学会公报》,1998年,第252页)进行了描述,他们将栖息地数量和质量纳入了鹿栖息地适宜性指数。然而,该指数基于1996年的卫星图像,并未探讨鹿所使用的较小空间尺度。我们的研究通过根据罗斯伯里和伍尔夫(《野生动物学会公报》,1998年,第252页)概述的方法,但使用来自国家土地覆盖数据库(2001 - 2021年)的数据,为伊利诺伊州的每个TRS(镇区、范围和分区)、镇区及县制定鹿土地覆盖效用(LCU)得分,解决了这些差距。这些鹿LCU得分通过使用贝叶斯回归并结合与狩猎和鹿密度相关的其他协变量,根据最小鹿种群数据进行了验证。这些模型在贝叶斯值分别为0.501(TRS)、0.5(镇区)和0.969(县)时表现良好。鹿LCU得分的回归系数在TRS、镇区和县层面上具有统计学显著性(95%可信区间不包含0)且为正,反映了最小鹿密度与鹿LCU之间的预期关系。这些回归模型对新数据的预测是准确的,TRS的真实值与预测值之间的中位数绝对差值为0.398头鹿/平方公里,镇区为0.085头鹿/平方公里,县为0.066头鹿/平方公里。这种鹿LCU可用于伊利诺伊州其他关于鹿的研究,或鹿是相关因素的研究,如关于鹿病或蜱分布的调查。这种建模方法也可适用于有土地覆盖数据可用的不同野生物种、地点和/或时间段。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b0/11531931/f84ce79dbdd4/ECE3-14-e70487-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b0/11531931/a0840ae2792f/ECE3-14-e70487-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b0/11531931/7deb170db1f6/ECE3-14-e70487-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b0/11531931/f84ce79dbdd4/ECE3-14-e70487-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b0/11531931/a0840ae2792f/ECE3-14-e70487-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b0/11531931/7deb170db1f6/ECE3-14-e70487-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b0/11531931/f84ce79dbdd4/ECE3-14-e70487-g003.jpg

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