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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Mixed-Method Approach for Quantifying Illegal Fishing and Its Impact on an Endangered Fish Species
|
|---|---|
| Published in |
PLOS ONE, December 2015
|
| DOI | 10.1371/journal.pone.0143960 |
| Pubmed ID | |
| Authors |
Christopher M. Free, Olaf P. Jensen, Bud Mendsaikhan |
| Abstract |
Illegal harvest is recognized as a widespread problem in natural resource management. The use of multiple methods for quantifying illegal harvest has been widely recommended yet infrequently applied. We used a mixed-method approach to evaluate the extent, character, and motivations of illegal gillnet fishing in Lake Hovsgol National Park, Mongolia and its impact on the lake's fish populations, especially that of the endangered endemic Hovsgol grayling (Thymallus nigrescens). Surveys for derelict fishing gear indicate that gillnet fishing is widespread and increasing and that fishers generally use 3-4 cm mesh gillnet. Interviews with resident herders and park rangers suggest that many residents fish for subsistence during the spring grayling spawning migration and that some residents fish commercially year-round. Interviewed herders and rangers generally agree that fish population sizes are decreasing but are divided on the causes and solutions. Biological monitoring indicates that the gillnet mesh sizes used by fishers efficiently target Hovsgol grayling. Of the five species sampled in the monitoring program, only burbot (Lota lota) showed a significant decrease in population abundance from 2009-2013. However, grayling, burbot, and roach (Rutilus rutilus) all showed significant declines in average body size, suggesting a negative fishing impact. Data-poor stock assessment methods suggest that the fishing effort equivalent to each resident family fishing 50-m of gillnet 11-15 nights per year would be sufficient to overexploit the grayling population. Results from the derelict fishing gear survey and interviews suggest that this level of effort is not implausible. Overall, we demonstrate the ability for a mixed-method approach to effectively describe an illegal fishery and suggest that these methods be used to assess illegal fishing and its impacts in other protected areas. |
X Demographics
The data shown below were collected from the profiles of 48 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mongolia | 16 | 33% |
| United States | 6 | 13% |
| United Kingdom | 3 | 6% |
| Russia | 1 | 2% |
| Australia | 1 | 2% |
| Unknown | 21 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 43 | 90% |
| Scientists | 3 | 6% |
| Science communicators (journalists, bloggers, editors) | 2 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Czechia | 1 | 1% |
| Italy | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 89 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 18% |
| Student > Master | 15 | 16% |
| Student > Ph. D. Student | 14 | 15% |
| Student > Bachelor | 10 | 11% |
| Unspecified | 6 | 6% |
| Other | 22 | 23% |
| Unknown | 10 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 28 | 30% |
| Environmental Science | 19 | 20% |
| Social Sciences | 7 | 7% |
| Unspecified | 6 | 6% |
| Biochemistry, Genetics and Molecular Biology | 5 | 5% |
| Other | 12 | 13% |
| Unknown | 17 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 78. 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 16 January 2024.
All research outputs
#556,120
of 25,721,020 outputs
Outputs from PLOS ONE
#7,592
of 223,914 outputs
Outputs of similar age
#9,034
of 397,461 outputs
Outputs of similar age from PLOS ONE
#160
of 4,917 outputs
Altmetric has tracked 25,721,020 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 223,914 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 397,461 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 4,917 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.