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Wildlife in the cloud: A new approach for engaging stakeholders in wildlife management

Chapron, Guillaume (2015). Wildlife in the cloud: A new approach for engaging stakeholders in wildlife management. Ambio. 44:Suppl., 550-556
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Abstract

Research in wildlife management increasingly relies on quantitative population models. However, a remaining challenge is to have end-users, who are often alienated by mathematics, benefiting from this research. I propose a new approach, 'wildlife in the cloud,' to enable active learning by practitioners from cloud-based ecological models whose complexity remains invisible to the user. I argue that this concept carries the potential to overcome limitations of desktop-based software and allows new understandings of human-wildlife systems. This concept is illustrated by presenting an online decision-support tool for moose management in areas with predators in Sweden. The tool takes the form of a user-friendly cloud-app through which users can compare the effects of alternative management decisions, and may feed into adjustment of their hunting strategy. I explain how the dynamic nature of cloud-apps opens the door to different ways of learning, informed by ecological models that can benefit both users and researchers.

Authors/Creators:Chapron, Guillaume
Title:Wildlife in the cloud: A new approach for engaging stakeholders in wildlife management
Series/Journal:Ambio (0044-7447)
Year of publishing :2015
Volume:44
Number:Suppl.
Page range:550-556
Number of Pages:7
Publisher:Springer
ISSN:0044-7447
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 > 1 Natural sciences > 106 Biological Sciences (Medical to be 3 and Agricultural to be 4) > Ecology
(A) Swedish standard research categories 2011 > 1 Natural sciences > 106 Biological Sciences (Medical to be 3 and Agricultural to be 4) > Zoology
(A) Swedish standard research categories 2011 > 1 Natural sciences > 102 Computer and Information Science > Information Science
Keywords:Population models, Cloud-computing, Wildlife management, Moose, Wolf, Bear
URN:NBN:urn:nbn:se:slu:epsilon-e-3239
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-3239
Additional ID:
Type of IDID
Web of Science (WoS)000363840100005
DOI10.1007/s13280-015-0706-0
ID Code:13086
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
Department:(NL, NJ) > Dept. of Ecology
(S) > Dept. of Ecology
Deposited By: SLUpub Connector
Deposited On:23 Feb 2016 07:45
Metadata Last Modified:05 Mar 2016 14:18

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