| Literature DB >> 29718917 |
Vera M F da Silva1, Carlos E C Freitas2, Rodrigo L Dias1, Anthony R Martin3.
Abstract
Obligate river dolphins occur only in the rivers of Asia and South America, where they are increasingly subject to damaging pressures such as habitat degradation, food competition and entanglement in fishing gear as human populations expand. The Amazon basin hosts two, very different, dolphins-the boto or Amazon river dolphin (Inia geoffrensis) and the smaller tucuxi (Sotalia fluviatilis). Both species have wide geographical ranges and were once considered to be relatively abundant. Their IUCN Red List conservation status of Data Deficient (DD), due to limited information on threats, ecology, population numbers and trends, did not initially cause alarm. However, the development of dolphin hunting to provide fish bait at around the beginning of this millennium broadly coincided with the onset of a widespread perception that numbers of both species were in decline. Consequently, the need for population trend data to inform conservation advice and measures became urgent. This paper presents a 22-year time series of standardised surveys for both dolphins within the Mamirauá Reserve, Amazonas State, Brazil. Analysis of these data show that both species are in steep decline, with their populations halving every 10 years (botos) and 9 years (tucuxis) at current rates. These results are consistent with published, independent information on survival rates of botos in this area, which demonstrated a substantial drop in annual survival, commencing at around the year 2000. Mamirauá is a protected area, and is subject to fewer environmental pressures than elsewhere in the region, so there is no reason to suspect that the decline in dolphins within the Reserve is more pronounced than outside it. If South America's freshwater cetaceans are to avoid following their Asian counterparts on the path to a perilous conservation status, effective conservation measures are required immediately. Enforcement of existing fishery laws would greatly assist in achieving this.Entities:
Mesh:
Year: 2018 PMID: 29718917 PMCID: PMC5931465 DOI: 10.1371/journal.pone.0191304
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Map of Brazil, showing the location of the study site and (inset) the Mamirauá channel itself.
Fig 2Scatterplots of the number of observed botos per survey as a function of time, including the trend line and 95% confidence intervals estimated by the model.
(A) Entire study (Nov 1994—Jan 2017); (B) Nov 1994—Dec 1999; (C) Jan 2000—Jan 2017.
Fig 3Scatterplots of the number of observed tucuxis per survey as a function of time, including the trend line and 95% confidence intervals estimated by the model.
(A) Entire study (Nov 1994—Jan 2017); (B) Nov 1994—Dec 1999; (C) Jan 2000—Jan 2017.
Model results for boto counts.
The unit of time is one day, so a coefficient of -0.00015 represents a decline in the number of encountered botos of 0.015% per day, or 5.48% per year during the entire sampling period.
| Nov 1994—Jan 2017 | Nov 1994—Dec 1999 | Jan 2000—Jan 2017 | ||||
|---|---|---|---|---|---|---|
| Estimate | p-value | Estimate | p-value | Estimate | p-value | |
| Time | -0.00015 | <0.001 | -0.00005 | 0.542 N.S. | -0.00019 | <0.001 |
| (95% confidence interval) | (-0.00013, -0.00017) | (-0.00021, +0.00011) | (-0.00016, -0.00022) | |||
| Water Level | 0.2991 | <0.001 | 0.299 | <0.001 | 0.3001 | <0.001 |
| Water Level2 | -0.00562 | <0.001 | -0.0056 | <0.001 | -0.0055 | <0.001 |
| Explained deviance (pseudo R2) | 97.89% | 98.2% | 98.29% | |||
| Null deviance (d.f.) | 4497.257 (359) | 1917.75 (135) | 2583.255 (221) | |||
| Residual deviance (d.f.) | 94.681 (356) | 33.563 (132) | 44.191 (218) | |||
| No. surveys / days | 361 / 8,083 | 138 / 1856 | 221 / 6,206 | |||
| Outliers excluded | 2 | 2 | 3 | |||
Model results for tucuxi counts.
The unit of time is one day, so a coefficient of -0.00021 represents a decline in the number of encountered tucuxis of 0.021% per day, or 7.67% per year during the entire sampling period.
| Nov 1994—Jan 2017 | Nov 1994—Dec 1999 | Jan 2000—Jan 2017 | ||||
|---|---|---|---|---|---|---|
| Estimate | p-value | Estimate | p-value | Estimate | p-value | |
| Time | -0.00021 | <0.001 | -0.00059 | <0.001 | -0.00023 | <0.001 |
| (95% confidence interval) | (-0.00017, -0.00026) | (-0.00027, -0.00081) | (-0.00016, -0.00030) | |||
| Water Level | 0.17057 | <0.001 | 0.1985 | <0.001 | 0.1466 | <0.001 |
| Water Level2 | -0.00306 | <0.001 | -0.0036 | <0.001 | -0.0026 | <0.001 |
| Explained deviance (pseudo R2) | 73.43% | 81.84% | 67.21% | |||
| Null deviance (d.f.) | 1392.38 (359) | 689.01 (135) | 703.36 (221) | |||
| Residual deviance (d.f.) | 369.87 (356) | 125.06 (132) | 230.6 (218) | |||
| No. surveys / days | 363 / 8,083 | 138 / 1,856 | 221 / 6,206 | |||
| Outliers excluded | 3 | 1 | 3 | |||