Home About Browse Search
Svenska


Using traffic data to estimate wildlife populations

Gren, Ing-Marie and Häggmark, Tobias and Andersson, Hans and Jansson, Gunnar and Jägerbrand, Annika (2016). Using traffic data to estimate wildlife populations. Journal of Bioeconomics. 18:1, 17-31
[Journal article]

[img]
Preview
PDF - Published Version
Available under License Creative Commons Attribution.

520kB

Abstract

Wildlife populations are threatened worldwide by, among others, habitat fragmentation and hunting pressure. An important impediment for the large scale, national and regional, management of the populations is the difficulty to quantify population dynamics. The purpose of this study is to present a tool for such estimations which is based on available data in several countries; traffic load and traffic accidents with wildlife. An econometric model is developed, which accounts for landscape characteristics. It is applied to wild boar in Sweden, for which data on traffic load and accidents for different counties and years are available. Landscape characteristics are introduced with direct or indirect effects on population growth. The indirect landscape model gives the best statistical performance, and the results show relatively small differences in calculated intrinsic growth rate among counties but considerable differences in predicted population developments.

Authors/Creators:Gren, Ing-Marie and Häggmark, Tobias and Andersson, Hans and Jansson, Gunnar and Jägerbrand, Annika
Title:Using traffic data to estimate wildlife populations
Series/Journal:Journal of Bioeconomics (BIB8856389)
Year of publishing :2016
Volume:18
Number:1
Page range:17-31
Number of Pages:15
Publisher:Springer
ISSN:1387-6996
Language:English
Publication Type:Journal article
Refereed:Yes
Article category:Scientific peer reviewed
Version:Published version
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 405 Other Agricultural Sciences > Fish and Wildlife Management
(A) Swedish standard research categories 2011 > 5 Social Sciences > 502 Economics and Business > Economics
Agrovoc terms:Econometrics, Wildlife
Keywords:Traffic data, Wildlife population, Econometrics, Landscape characteristics, Wild boar, Sweden
URN:NBN:urn:nbn:se:slu:epsilon-e-3642
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-3642
Additional ID:
Type of IDID
DOI10.1007/s10818-015-9209-0
ID Code:13600
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
Department:(NL, NJ) > Dept. of Ecology
(S) > Dept. of Ecology

(NL, NJ) > Dept. of Economics
Deposited By: SLUpub Connector
Deposited On:06 Sep 2016 08:44
Metadata Last Modified:06 Sep 2016 08:44

Repository Staff Only: item control page

Downloads

Downloads per year (since September 2012)

View more statistics

Downloads
Hits