Title |
Wildlife in the cloud: A new approach for engaging stakeholders in wildlife management
|
---|---|
Published in |
Ambio, October 2015
|
DOI | 10.1007/s13280-015-0706-0 |
Pubmed ID | |
Authors |
Guillaume Chapron |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 20% |
Iceland | 1 | 10% |
Unknown | 7 | 70% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 60% |
Scientists | 4 | 40% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Mozambique | 1 | 1% |
Bulgaria | 1 | 1% |
Botswana | 1 | 1% |
United Kingdom | 1 | 1% |
China | 1 | 1% |
Unknown | 69 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 16% |
Researcher | 12 | 16% |
Student > Master | 12 | 16% |
Student > Bachelor | 7 | 9% |
Student > Postgraduate | 5 | 7% |
Other | 12 | 16% |
Unknown | 14 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 20 | 27% |
Environmental Science | 16 | 22% |
Social Sciences | 8 | 11% |
Nursing and Health Professions | 2 | 3% |
Business, Management and Accounting | 1 | 1% |
Other | 6 | 8% |
Unknown | 21 | 28% |