Correcting home-range models for observation bias

被引：39

作者：

Horne, Jon S. ^{[1
]}

Garton, Edward O. ^{[1
]}

Sager-Fradkin, Kimberly A. ^{[1
]}

机构：

[1] Univ Idaho, Dept Fish & Wildlife, Moscow, ID 83844 USA

来源：

JOURNAL OF WILDLIFE MANAGEMENT | 2007年 / 71卷 / 03期

关键词：

biotelemetry; bivariate normal; home range; kernel; Global Positioning System; maximum likelihood; nonresponse; observation bias; telemetry;

D O I：

10.2193/2005-678

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

Home-range models implicitly assume equal observation rates across the study area. Because this assumption is frequently violated, we describe methods for correcting home-range models for observation bias. We suggest corrections for 3 general types of home-range models including those for which parameters are estimated using least-squares theory, models utilizing maximum likelihood for parameter estimation, and models based on kernel smoothing techniques. When applied to mule deer (Odocoileus hemionus) location data, we found that uncorrected estimates of the utilization distribution were biased low by as much as 19.4% and biased high by 19.2% when compared to corrected estimates. Because the magnitude of bias is related to several factors, future research should determine the relative influence of each of these factors on home-range bias.

引用

页码：996 / 1001

页数：6

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