| Literature DB >> 31434296 |
Hui Zhang1,2, Myounghee Kang3, Jinming Wu4,5, Chengyou Wang4,5, Junyi Li4,5, Hao Du4,5, Haile Yang4,5, Qiwei Wei6,7.
Abstract
The Yangtze River has the third greatest water flow and is one of the most human-influenced rivers in the world. Since 1950, this river system has experienced drastic human interventions, leading to various environmental changes, including water temperature. In this study, based on observations during the past sixty years, we found that the seasonal temperature regime has been altered, both temporally (1-5 °C variation) and spatially (>626 km distance). Temperature shifts not only delay the timing of fish spawning directly, but also lead to degeneration in gonad development. Temperature regime alterations have delayed the suitable spawning temperature window by approximately 29 days over a decade (2003-2016). It confirmed that a period of lower temperature, higher cumulative temperature, and relatively higher temperature differences promoted the maturation of potential spawners based on the correlation analysis (p < 0.05). Also, thermal alterations were highly correlated with reservoir capacity upstream (R2 = 0.866). On-going cascade dam construction and global warming will lead to further temperature shifts. Currently, rigorous protection measures on the breeding population of the Chinese sturgeon and its critical habitats is urgently needed to prevent the crisis of the species extinction. Increasing river thermal shifts not only threaten the Chinese sturgeon but also affect the entire Yangtze aquatic ecosystem.Entities:
Keywords: Acipenser sinensis; China; Yangtze River; cascade dam development; gonad development; river thermal regime; spawning time
Year: 2019 PMID: 31434296 PMCID: PMC6720547 DOI: 10.3390/ani9080583
Source DB: PubMed Journal: Animals (Basel) ISSN: 2076-2615 Impact factor: 2.752
Figure 1Study area of the Yangtze Basin. (A) Dams and five hydrological monitoring stations in the Yangtze main stem (Zhutuo, river km (rkm) 2474.2, rkm 0 is at the Yangtze estuary, Yichang, rkm 1669.2, Hankou, rkm 1043.2, Datong, rkm 553.9, and Nanjing, rkm 348.1). (B) Dams, hydrological monitoring stations, and longitudinal profile along the river.
Indicators defined to describe the temperature regime in the Yangtze River during the observational periods. Time for examining the temperature was from November 1 to October 31 of the following year, which is the reproduction cycle of Acipenser sinensis.
| Indicator Group | Temperature Regime Indicator | Reason for Indicator Definition |
|---|---|---|
| (1) Magnitude of monthly water temperature amplitude | Mean temperature for each calendar month, from November to October, subtotal 12 parameters | The adults need about one year to reach maturity, which month is important as trigger is unknown. |
| (2) High temperature | Annual maximum temperature: 1-day mean, 3-day means, 7-day means, 30-day means, 90-day means | To see whether the high temperature and duration of that are related with gonad development. |
| (3) Low temperature | Annual minimum temperature: 1-day mean, 3-day means, 7-day means, 30-day means, 90-day means | To test whether the low temperature and duration of that are related to gonad development. |
| (4) Cumulative temperature | The sum of temperature from November 1 to October 31 of the following year | To see the cumulative effects of temperature on gonad development. |
| (5) Timing of extreme temperature | Days of 1-day maximum and 1-day minimum from November 1 to October 31 | To see whether the occurrence time of extreme temperature is related to gonad development. |
| (6) Relative temperature difference | Base temperature index: 7-day minimum temperature/mean temperature of the year | To see the effects of relative temperature difference on gonad development. This definition refers to the concept of Base flow in IHA (Indicators of Hydrologic Alteration). |
Figure 2Increasing river temperature shifts threaten the spawning of Yangtze fish. (A) Temporal shift in water temperature at Yichang station (spawning area of the Chinese sturgeon) during 1981–2016. (B) Spatial shift of temperature deviations from Yichang (i.e., Gezhouba Dam, the lowermost dam on the main stem) to estuary (Supplemental Table S2). (C) Spawning window delay in spring for the four major Chinese carps and autumn for the Chinese sturgeon due to the shifting temperature regime. (D) Gonad development failure of the Chinese sturgeon observed in 2014, probably due to the altered temperature regime.
Temperature regime indicators and their correlations with maturation percentage (Correlation ) and degeneration percentage (Correlation ) of breeding population of Acipenser sinensis below the Gezhouba Dam. The present temperature regime indicators after the full operation of the Three Gorges Dam during 2010–2016 are also indicated. A temperature year was defined from November 1 to October 31 of the following year based on the reproduction cycle of Acipenser sinensis.
| Indicator Group | Indicator | 1982–2001, 2003 a (n = 21) | 1984–1993 b (n = 10) | 2010–2016 (n = 7) | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Min | Max | Mean ± S.D. | Correlation | Min | Max | Mean ± S.D. | Correlation | Min | Max | Mean ± S.D. | ||
| (1) Magnitude of monthly water temperature | Nov Mean | 15.10 | 17.52 | 16.60 ± 0.65 | 0.429 (0.053) | 15.60 | 16.96 | 16.33 ± 0.49 | 0.298 (0.403) | 18.91 | 20.79 | 19.85 ± 0.61 |
| Dec Mean | 11.41 | 14.16 | 12.60 ± 0.79 | 0.602 ** (0.004) | 11.49 | 13.27 | 12.38 ± 0.65 | −0.288 (0.419) | 16.62 | 18.47 | 17.27 ± 0.71 | |
| Jan Mean | 8.51 | 11.90 | 10.07 ± 0.82 | 0.528 * (0.014) | 8.51 | 10.76 | 9.79 ± 0.73 | −0.441 (0.202) | 13.67 | 16.08 | 14.64 ± 0.87 | |
| Feb Mean | 8.02 | 11.75 | 10.21 ± 0.93 | 0.580 ** (0.006) | 8.02 | 11.23 | 9.85 ± 0.96 | −0.605 (0.064) | 11.44 | 13.49 | 12.47 ± 0.74 | |
| Mar Mean | 10.77 | 14.50 | 12.66 ± 0.97 | 0.514 * (0.017) | 10.77 | 13.82 | 12.29 ± 1.04 | −0.595 (0.069) | 10.59 | 12.79 | 11.93 ± 0.80 | |
| Apr Mean | 15.69 | 18.80 | 17.09 ± 0.68 | 0.362 (0.107) | 16.33 | 17.54 | 17.00 ± 0.43 | −0.468 (0.172) | 12.93 | 14.85 | 14.02 ± 0.72 | |
| May Mean | 19.96 | 22.73 | 21.43 ± 0.70 | 0.205 (0.373) | 19.96 | 22.16 | 21.20 ± 0.67 | 0.186 (0.607) | 17.21 | 20.03 | 18.64 ± 1.08 | |
| Jun Mean | 22.65 | 24.47 | 23.55 ± 0.56 | 0.326 (0.149) | 22.65 | 24.47 | 23.73 ± 0.65 | −0.591 (0.072) | 21.51 | 23.53 | 22.45 ± 0.79 | |
| Jul Mean | 23.45 | 26.43 | 24.57 ± 0.88 | 0.158 (0.494) | 23.53 | 26.43 | 24.66 ± 0.87 | −0.001 (0.998) | 23.31 | 26.25 | 24.61 ± 1.06 | |
| Aug Mean | 24.14 | 28.70 | 25.73 ± 1.05 | 0.348 (0.123) | 24.14 | 26.43 | 25.43 ± 0.84 | 0.285 (0.425) | 24.69 | 26.54 | 25.84 ± 0.67 | |
| Sep Mean | 22.06 | 24.64 | 23.16 ± 0.78 | 0.381 (0.088) | 22.06 | 24.23 | 22.80 ± 0.65 | −0.411 (0.239) | 23.15 | 26.16 | 24.82 ± 1.11 | |
| Oct Mean | 18.85 | 21.52 | 19.95 ± 0.77 | 0.470 * (0.031) | 18.85 | 20.00 | 19.33 ± 0.40 | −0.628 (0.052) | 21.39 | 23.24 | 22.31 ± 0.65 | |
| (2) High temperature | 1-day Max | 25.80 | 29.70 | 27.28 ± 1.03 | 0.302 (0.196) | 26.20 | 28.20 | 27.10 ± 0.76 | −0.217 (0.547) | 26.00 | 27.40 | 26.84 ± 0.53 |
| 3-day Max | 25.57 | 29.50 | 27.07 ± 1.00 | 0.275 (0.241) | 25.87 | 28.07 | 26.88 ± 0.79 | −0.155 (0.669) | 25.93 | 27.33 | 26.80 ± 0.52 | |
| 7-day Max | 25.29 | 29.34 | 26.86 ± 1.03 | 0.294 (0.208) | 25.46 | 27.87 | 26.61 ± 0.83 | −0.090 (0.805) | 25.87 | 27.17 | 26.70 ± 0.51 | |
| 30-day Max | 24.56 | 28.82 | 26.09 ± 1.00 | 0.307 (0.188) | 24.56 | 26.79 | 25.77 ± 0.73 | 0.106 (0.770) | 25.30 | 26.76 | 26.13 ± 0.60 | |
| 90-day Max | 24.07 | 26.76 | 24.89 ± 0.62 | 0.320 (0.169) | 24.07 | 25.50 | 24.76 ± 0.44 | −0.027 (0.940) | 23.94 | 26.15 | 25.16 ± 0.81 | |
| (3) Low temperature | 1-day Min | 7.40 | 10.90 | 9.05 ± 0.96 | 0.584 ** (0.007) | 7.40 | 10.30 | 8.67 ± 0.90 | −0.499 (0.142) | 10.20 | 12.50 | 11.37 ± 0.89 |
| 3-day Min | 7.53 | 10.97 | 9.15 ± 0.94 | 0.568 ** (0.009) | 7.53 | 10.40 | 8.79 ± 0.88 | −0.478 (0.162) | 10.20 | 12.50 | 11.44 ± 0.88 | |
| 7-day Min | 7.64 | 11.04 | 9.29 ± 0.92 | 0.559 * (0.010) | 7.64 | 10.56 | 8.95 ± 0.87 | −0.475 (0.166) | 10.29 | 12.53 | 11.55 ± 0.85 | |
| 30-day Min | 7.88 | 11.55 | 9.67 ± 0.93 | 0.575 ** (0.008) | 7.88 | 10.76 | 9.32 ± 0.87 | −0.531 (0.114) | 10.58 | 12.78 | 11.78 ± 0.79 | |
| 90-day Min | 9.26 | 12.09 | 10.69 ± 0.75 | 0.670 ** (0.001) | 9.26 | 11.21 | 10.31 ± 0.63 | −0.740 * (0.014) | 11.41 | 13.58 | 12.64 ± 0.76 | |
| (4) Cumulative temperature | Sum from Nov 1 to Oct 31 | 6392.7 | 6844.6 | 6637.7 ± 145.8 | 0.830 ** (0.000) | 6446.7 | 6672.9 | 6551.7 ± 77.7 | −0.891 ** (0.001) | 6782.7 | 7250.6 | 6980.0 ± 158.9 |
| (5) Timing of extreme temperature | Days of 1-day max to Oct 31 | 62 | 128 | 85.55 ± 16.69 | 0.348 (0.132) | 62 | 122 | 83.20 ± 17.43 | −0.364 (0.301) | 48 | 86 | 66.14 ± 12.67 |
| Days of 1-day min to Oct 31 | 249 | 289 | 273.55 ± 13.08 | 0.312 (0.181) | 249 | 289 | 271.30 ± 16.75 | −0.364 (0.301) | 228 | 253 | 239.00 ± 8.94 | |
| (6) Relative temperature difference | 7-day min/year mean | 0.43 | 0.59 | 0.51 ± 0.04 | 0.459 * (0.042) | 0.43 | 0.59 | 0.50 ± 0.05 | −0.398 (0.254) | 0.55 | 0.64 | 0.60 ± 0.03 |
a The scientific capture was interrupted in 2002, the maturation percentage of Acipenser sinensis was from Reference [26]. b The degeneration percentage of Acipenser sinensis was from Reference [11]. * Correlation is significant at the 0.05 level (2-tailed). ** Correlation is significant at the 0.01 level (2-tailed).
Trend analysis of water temperature at Yichang station (river km 1669.2) during 1956–2016 (n = 61). The Yichang station is approximately 6 km below the Gezhouba Dam (Figure 1), the lowermost dam on the Yangtze main stem. The Three Gorges Dam is about 40 km upstream of the Gezhouba Dam. River km 0 is at the Yangtze estuary. The only known spawning area of the Chinese sturgeon was reported to be immediately below the Gezhouba Dam (i.e., about 5 km upstream of Yichang station) [14].
| Season | Month | Kendall’s Tau | Trend | Sen’s Slope | |
|---|---|---|---|---|---|
| Spring | March | −0.201 | Yes | 0.022 | −0.017 (−0.021, −0.013) |
| April | −0.414 | Yes | <0.0001 | −0.050 (−0.055, −0.045) | |
| May | −0.203 | Yes | 0.021 | −0.019 (−0.022, −0.014) | |
| Summer | June | −0.146 | No | 0.099 | −0.009 (−0.011, −0.006) |
| July | −0.095 | No | 0.282 | −0.007 (−0.010, −0.004) | |
| August | 0.071 | No | 0.426 | 0.005 (0.001, 0.008) | |
| Autumn | September | 0.284 | Yes | 0.001 | 0.027 (0.022, 0.031) |
| October | 0.497 | Yes | <0.0001 | 0.048 (0.044, 0.053) | |
| November | 0.638 | Yes | <0.0001 | 0.068 (0.063, 0.072) | |
| Winter | December | 0.670 | Yes | <0.0001 | 0.103 (0.096, 0.110) |
| January | 0.701 | Yes | <0.0001 | 0.086 (0.080, 0.093) | |
| February | 0.506 | Yes | <0.0001 | 0.051 (0.047, 0.055) | |
| Year | 0.548 | Yes | <0.0001 | 0.023 (0.022, 0.024) | |
Figure 3Increases in dam construction (water impounding) and increasing temperature shifts and how they potentially impact the whole Yangtze aquatic ecosystem. The equation between total reservoir capacity (TRC) and year (i.e., x) assumed x = 1 in 1992. According to the developing trends (Sen’s slopes), the cumulative alterations of water temperature in year, M-Apr and M-Dec during 1956–2030 are +1.73 °C, −3.98 °C, and +8.03 °C, respectively.
Estimated river temperature alterations in 2023 and thereafter in the upper Yangtze when two large dams (Wudongde and Baihetan) are finished. It is assumed that the remedial water temperature regulation method (multi-level water intake facilities) had been adopted on Wudongde, Baihetan, and Xiluodu dams (but not on Xiangjiaba Dam, which was constructed without such facilities) (Figure 1) [43].
| Season | Month | Rkm 2741.7 (Below Xiangjiaba Dam) | Rkm 2474.2 (Zhutuo, about 100 km to the Tail of Three Gorges Reservoir) |
|---|---|---|---|
| Spring | March | −0.2 | 0.8 |
| April | −3.3 | −1.2 | |
| May | −3.7 | −1.8 | |
| Summer | June | −2.9 | −1.7 |
| July | −1.4 | −1.1 | |
| August | −1.0 | −1.2 | |
| Autumn | September | 0.6 | −0.1 |
| October | 1.3 | 0.2 | |
| November | 3.5 | 1.1 | |
| Winter | December | 5.3 | 2.6 |
| January | 5.5 | 3.8 | |
| February | 2.9 | 3.6 | |
| Year | 0.55 | 0.42 | |