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Integrating technologies for scalable ecology and conservation
- Source :
- Global Ecology and Conservation, Vol 7, Iss C, Pp 262-275 (2016)
- Publication Year :
- 2016
-
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.
- Subjects :
- 0106 biological sciences
010504 meteorology & atmospheric sciences
Computer science
Ecology (disciplines)
Endangered species
Context (language use)
GPS telemetry
010603 evolutionary biology
01 natural sciences
lcsh:QH540-549.5
Technology integration
Protected area management
Temporal scales
Ecology, Evolution, Behavior and Systematics
0105 earth and related environmental sciences
Nature and Landscape Conservation
GE
Data collection
Ecology
business.industry
Environmental resource management
Remote sensing
GF
Drone
Economies of scale
lcsh:Ecology
Wireless Sensor Networks
Ecological dynamics
Protected area
business
Subjects
Details
- Language :
- English
- ISSN :
- 23519894
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- Global Ecology and Conservation
- Accession number :
- edsair.doi.dedup.....f010d000fa4e25f84c19d52f77e6d0de