Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/106742
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Type: | Journal article |
Title: | Integrating technologies for scalable ecology and conservation |
Author: | Marvin, D. Koh, L. Lynam, A. Wich, S. Davies, A. Krishnamurthy, R. Stokes, E. Starkey, R. Asner, G. |
Citation: | Global Ecology and Conservation, 2016; 7:262-275 |
Publisher: | Elsevier BV |
Issue Date: | 2016 |
ISSN: | 2351-9894 2351-9894 |
Statement of Responsibility: | David C. Marvin, Lian Pin Koh, Antony J. Lynam, Serge Wich, Andrew B. Davies, Ramesh Krishnamurthy, Emma Stokes, Ruth Starkey, Gregory P. Asner |
Abstract: | Integration of multiple technologies greatly increases the spatial and temporal scales over which ecological patterns and processes can be studied, and threats to protected ecosystems can be identified and mitigated. A range of technology options relevant to ecologists and conservation practitioners are described, including ways they can be linked to increase the dimensionality of data collection efforts. Remote sensing, ground-based, and data fusion technologies are broadly discussed in the context of ecological research and conservation efforts. Examples of technology integration across all of these domains are provided for large-scale protected area management and investigation of ecological dynamics. Most technologies are low-cost or open-source, and when deployed can reach economies of scale that reduce per-area costs dramatically. The large-scale, long-term data collection efforts presented here can generate new spatio-temporal understanding of threats faced by natural ecosystems and endangered species, leading to more effective conservation strategies. |
Keywords: | Drone; ecological dynamics; protected area management; GPS telemetry; remote sensing; Wireless Sensor Networks |
Description: | Available online 11 August 2016 |
Rights: | © 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
DOI: | 10.1016/j.gecco.2016.07.002 |
Grant ID: | ARC |
Published version: | http://dx.doi.org/10.1016/j.gecco.2016.07.002 |
Appears in Collections: | Aurora harvest 3 Ecology, Evolution and Landscape Science publications |
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hdl_106742.pdf | Published version | 2.69 MB | Adobe PDF | View/Open |
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