| Title |
Methods and measurement variance for field estimations of coral colony planar area using underwater photographs and semi-automated image segmentation
|
|---|---|
| Published in |
Environmental Monitoring and Assessment, July 2015
|
| DOI | 10.1007/s10661-015-4690-4 |
| Pubmed ID | |
| Authors |
Benjamin P. Neal, Tsung-Han Lin, Rivah N. Winter, Tali Treibitz, Oscar Beijbom, David Kriegman, David I. Kline, B. Greg Mitchell |
| Abstract |
Size and growth rates for individual colonies are some of the most essential descriptive parameters for understanding coral communities, which are currently experiencing worldwide declines in health and extent. Accurately measuring coral colony size and changes over multiple years can reveal demographic, growth, or mortality patterns often not apparent from short-term observations and can expose environmental stress responses that may take years to manifest. Describing community size structure can reveal population dynamics patterns, such as periods of failed recruitment or patterns of colony fission, which have implications for the future sustainability of these ecosystems. However, rapidly and non-invasively measuring coral colony sizes in situ remains a difficult task, as three-dimensional underwater digital reconstruction methods are currently not practical for large numbers of colonies. Two-dimensional (2D) planar area measurements from projection of underwater photographs are a practical size proxy, although this method presents operational difficulties in obtaining well-controlled photographs in the highly rugose environment of the coral reef, and requires extensive time for image processing. Here, we present and test the measurement variance for a method of making rapid planar area estimates of small to medium-sized coral colonies using a lightweight monopod image-framing system and a custom semi-automated image segmentation analysis program. This method demonstrated a coefficient of variation of 2.26 % for repeated measurements in realistic ocean conditions, a level of error appropriate for rapid, inexpensive field studies of coral size structure, inferring change in colony size over time, or measuring bleaching or disease extent of large numbers of individual colonies. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 1% |
| Mexico | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 93 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 22% |
| Researcher | 17 | 18% |
| Student > Bachelor | 14 | 15% |
| Student > Master | 11 | 11% |
| Other | 5 | 5% |
| Other | 12 | 13% |
| Unknown | 16 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 36% |
| Environmental Science | 25 | 26% |
| Computer Science | 5 | 5% |
| Engineering | 4 | 4% |
| Medicine and Dentistry | 3 | 3% |
| Other | 7 | 7% |
| Unknown | 17 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 August 2015.
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#19,382,126
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Outputs from Environmental Monitoring and Assessment
#1,865
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#193,538
of 265,937 outputs
Outputs of similar age from Environmental Monitoring and Assessment
#20
of 56 outputs
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