<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">NR</journal-id><journal-title-group><journal-title>Natural Resources</journal-title></journal-title-group><issn pub-type="epub">2158-706X</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/nr.2016.74017</article-id><article-id pub-id-type="publisher-id">NR-65571</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Earth&amp;Environmental Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Environmental Ecological Response to Increasing Water Temperature in the Daya Bay, Southern China in 1982-2012
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>anju</surname><given-names>Hao</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Danling</surname><given-names>Tang</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Laura</surname><given-names>Boicenco</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sufen</surname><given-names>Wang</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Research Center for Remote Sensing of Marine Ecology &amp;amp; Environment, State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, China</addr-line></aff><aff id="aff1"><addr-line>Yantai Research Institute, China Agricultural University, Yantai, China</addr-line></aff><aff id="aff3"><addr-line>National Institute for Marine Research and Development “GrigoreAntipa”, Constanta, Romania</addr-line></aff><pub-date pub-type="epub"><day>18</day><month>04</month><year>2016</year></pub-date><volume>07</volume><issue>04</issue><fpage>184</fpage><lpage>192</lpage><history><date date-type="received"><day>5</day>	<month>January</month>	<year>2016</year></date><date date-type="rev-recd"><day>accepted</day>	<month>15</month>	<year>April</year>	</date><date date-type="accepted"><day>18</day>	<month>April</month>	<year>2016</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  The increase of water temperature, due to thermal discharges from two nuclear power stations, was one of the most significant environmental changes since 1982 in the Daya Bay, located in the north of the South China Sea. This study investigates the long-term (1982-2012) environmental changes in Daya Bay in response to the increase of water temperature, via comprehensively interpreting and analyzing both satellite and in situ observations along with previous data. The results show that: 1) salinity, dissolved oxygen (DO), chemical oxygen demand (COD) and nutrients had been enhanced after the thermal discharges started in 1994; 2) the concentration of Chl-a increased while the net-phytoplankton abundance decreased; 3) diversity of the phytoplankton community had decreased; 4) fishery production had declined; and 5) frequency of Harmful Algal Bloom occurrence had increased. Satellite images show clearly that a thermal plume from the power stations extended toward the interior of Daya Bay, and that surface temperature of the seawater increased as one approached the power stations. The analysis suggests that the thermal water discharged from the two power stations was a driver of the ecosystem’s change in Daya Bay. Several factors, including nutrients, salinity, DO, and COD, varied according to the increase of water temperature. These factors affected the water quality, Chl-a, and phytoplankton in the short term and impaired aquatic organisms and the whole ecosystem in the long term.
 
</p></abstract><kwd-group><kwd>Daya Bay</kwd><kwd> Ecosystem</kwd><kwd> Thermal Discharge</kwd><kwd> Water Temperature</kwd><kwd> Nuclear Power Station</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Water temperature is one of the most important factors to marine ecosystems; small changes of water temperature could have considerable environmental impacts on ecosystems [<xref ref-type="bibr" rid="scirp.65571-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.65571-ref2">2</xref>] . Seawater warming can be caused by increasing mean global temperature or by local thermal discharge. Many studies show that serious ecosystem degradations are related to aggressive human activities, such as nutrient enrichment caused by increasing discharge of daily-life and industrial sewage, as well as toxins discharged from the cage culture [<xref ref-type="bibr" rid="scirp.65571-ref3">3</xref>] - [<xref ref-type="bibr" rid="scirp.65571-ref5">5</xref>] . Therefore, it is critical to study and understand the impact of water temperature changes on marine ecosystems, caused by, for example, thermal discharge or global warming.</p><p>Thermal discharge can cause undesirable changes of the environment [<xref ref-type="bibr" rid="scirp.65571-ref6">6</xref>] . Bays generally have amplified responses to environmental changes compared to open water bodies [<xref ref-type="bibr" rid="scirp.65571-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.65571-ref8">8</xref>] . Thermal pollution from power plants could elevate the seawater temperature and significantly impact the ecosystems of coastal bays [<xref ref-type="bibr" rid="scirp.65571-ref9">9</xref>] - [<xref ref-type="bibr" rid="scirp.65571-ref12">12</xref>] . We have been continuously observing water temperature in Daya Bay, where thermal water is being disposed from two nuclear power stations, for more than 10 years with particular attention to the ecological impacts of the thermal water in this region [<xref ref-type="bibr" rid="scirp.65571-ref13">13</xref>] - [<xref ref-type="bibr" rid="scirp.65571-ref16">16</xref>] . Phytoplankton and the primary productivity in the sea are an effective proxy of ecosystem changes, because of their sensitivity to variations in water temperature, salinity, abundance of nutrients, etc. As a result, the environmental impact on the ecosystem due to thermal water can be evaluated via analyzing the change in the amount, type, and distribution of the phytoplankton in the vicinity of the power stations in the bay. In addition, understanding the impact of human activity on the bay ecosystem has high significance to safe and sustainable exploits in the coastal water.</p></sec><sec id="s2"><title>2. Study Area</title><p>The Daya Bay is a shallow semi-enclosed bay, with a southeastward opening, located in a subtropical region in the northern part of the South China Sea (SCS, <xref ref-type="fig" rid="fig1">Figure 1</xref>). It covers an area of 650 km<sup>2</sup>, its coastline is 52 km, and its water depth is 10 ~ 20 meters. The area of Daya Bay belongs to a typical subtropical marine climate, with an average annual rainfall of 1984.4 mm and an annual average relative humidity of 82%. Its annual average temperature is 21.7˚C, while its extreme maximum temperature is 38.5˚C, and the extreme minimum temperature is 0.7˚C. Because of relatively fast wind speed, the area of Daya Bay has a frost-free period of 359.2 days per year. It experiences a strong northeast monsoon in winter and a weaker southwest monsoon in summer. During the winter, sea water mixes vertically due to the influence of the northeast monsoon, while in the summer the seawater with lower temperature and higher salinity from the southeast is injected into the bay, resulting in a stratified water column [<xref ref-type="bibr" rid="scirp.65571-ref17">17</xref>] .</p><p>The Daya Bay experiences the development of industry, aquaculture, and agriculture in the nearby region since the 1980s. Change of landscape, partially in the bay, is revealed by comparing two remote sensing TM images from Landsat 5 (from 1991) and Landsat 8 (from 2013), respectively (<xref ref-type="fig" rid="fig1">Figure 1</xref>). It has been influenced by the rapid growth of coastal industries and human activities. Two nuclear power stations (<xref ref-type="fig" rid="fig1">Figure 1</xref>), the Daya Bay Nuclear Power Station (DNPS) and the Ling’ao Nuclear Power Station (LNPS), were built nearby the bay in 1994 and 2003, respectively (<xref ref-type="table" rid="table1">Table 1</xref> &amp; <xref ref-type="fig" rid="fig1">Figure 1</xref>). The DNPS covers an area of about 10 km<sup>2</sup>, the annual power generation capacity is about 45 billion KWH. Cooling water of 65˚C from the DNPS is discharged into the bay at a rate of about 95 m<sup>3</sup>∙s<sup>−1</sup>, causing long term changes of the seawater interior for a. Studies show that thermal discharge poses an important effect on the ecosystems of the coastal seawater [<xref ref-type="bibr" rid="scirp.65571-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.65571-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.65571-ref18">18</xref>] . The thermal discharge provides an important opportunity for us to investigate how the marine ecosystem responds to increasing temperature in the coastal bay seawater.</p><p>The oceanography of Daya Bay had been studied via collecting ecological and environmental data before 1985, for the purpose of sitting and building the NPS. Multiple ecological and environmental factors have been monitored since 1982. The Marine Biological Research Station (MBRS), which is operated by the South China</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Locations of Daya Bay Nuclear Power Station (DNPS) and Ling’ao Nuclear Power Station (LNPS)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Name</th><th align="center" valign="middle" >Latitude</th><th align="center" valign="middle" >Longitude</th><th align="center" valign="middle" >Operation time</th><th align="center" valign="middle" >Generating capacity (per year)</th></tr></thead><tr><td align="center" valign="middle" >DNPS</td><td align="center" valign="middle" >22˚35'59.70''N</td><td align="center" valign="middle" >114˚32'57.75''E</td><td align="center" valign="middle" >Feb., 1994</td><td align="center" valign="middle" >100 billion kilowatt-hours</td></tr><tr><td align="center" valign="middle" >LNPS</td><td align="center" valign="middle" >22˚36'02.70''N</td><td align="center" valign="middle" >114˚33'0.75''E</td><td align="center" valign="middle" >Sept., 2002</td><td align="center" valign="middle" >147 billion kilowatt-hours</td></tr></tbody></table></table-wrap><fig id="fig1"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> (a) The location of the Daya Bay; (b) Map of the Daya Bay with DNPS and LNPS (the circles) in the Dapeng Cove; (c) Remote sensing TM images for the Daya Bay in 1991 (Landsat 5); (d) Remote sensing TM images for the Daya Bay in 2013 (Landsat 8)</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-2000583x7.png"/></fig><p>Sea Institute of Oceanology, Chinese Academy of Sciences, carried out four surveys per year in Daya Bay, including measurement of the physical-chemical parameters of the seawater as well as the composition and biomass of the biota at twelve stations in the bay. In this paper, we collect and analyze those ecological and environmental parameters, to address how the ecosystem can respond to thermal discharges from the two nuclear power stations.</p></sec><sec id="s3"><title>3. Increase of Water Temperature in the Daya Bay</title><p>In the Daya Bay area, the annual mean air temperature is 22˚C, the coldest months are January and February, with a monthly mean of 15˚C, and the hottest months are July and August, with a monthly mean of 28˚C. The lowest sea surface temperatures are recorded in spring (15˚C) and highest ones in summer and fall (30˚C) [<xref ref-type="bibr" rid="scirp.65571-ref19">19</xref>] .</p><p>From mid 1950s to mid 1990s, the mean global ocean-surface temperature has increased by 0.31˚C due to the combined effects of natural variability and human activities [<xref ref-type="bibr" rid="scirp.65571-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.65571-ref20">20</xref>] . In Bohai Sea, northern China, a shallow semi-enclosed sea, the sea surface temperature increased at a rate of 0.011˚C y<sup>−1</sup> from 1960 to 1997 [<xref ref-type="bibr" rid="scirp.65571-ref21">21</xref>] . In the Taiwan Strait, the SST increased by 1.0˚C (at a rate of 0.045˚C y<sup>−1</sup>) from 1976 to 1998, and the long-term net warming increased three-fold from the South China Sea to the East China Sea [<xref ref-type="bibr" rid="scirp.65571-ref22">22</xref>] . An early study on the Sea Surface Temperature (SST) in Daya Bay shows an increase rate of 0.11˚C y<sup>−1</sup> during 1970-2005 based on in situ data [<xref ref-type="bibr" rid="scirp.65571-ref15">15</xref>] . However, the increasing trend of the SST in Daya Bay from 1985 to 1993 indicates response of seawater in the bay to global warming, and the much faster increase rate for the period 1994~2005 might suggest the influence of thermal discharge from the NPS on the marine environment [<xref ref-type="bibr" rid="scirp.65571-ref15">15</xref>] .</p><p>A comparative study of seawater temperature at twelve stations in Daya Bay before and after the start of operation of the DNPS found that, since the operation of the DNPS, the annual mean SST has increased by 0.34˚C, and the greatest recorded change was of 2.30˚C in one summer [<xref ref-type="bibr" rid="scirp.65571-ref23">23</xref>] . Peng (2001) also showed that the seawater temperature in the bay increased by 0.77˚C from 1993 to 1998 [<xref ref-type="bibr" rid="scirp.65571-ref24">24</xref>] . The spatial distribution of water temperatures showed high values in the western region of the Daya Bay, near the nuclear power stations, from 1996 to 2004, higher by about 1˚C than in other areas; low values were found at the bay’s mouth for all analyzed years [<xref ref-type="bibr" rid="scirp.65571-ref19">19</xref>] .</p><p>With the development of space technology, more remote sensing data are currently available for monitoring and studying the marine environment [<xref ref-type="bibr" rid="scirp.65571-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.65571-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.65571-ref26">26</xref>] . Chen (2003) revealed the existence of thermal water anomaly near DNPS using the Landsat Thematic Mapper (TM) satellite remote sensing data for Daya Bay [<xref ref-type="bibr" rid="scirp.65571-ref27">27</xref>] . Satellite images show almost homogeneous distribution of SST in January 1985, whereas high temperature anomaly near the nuclear power stations in the western bay and relatively low temperature values at the opening in January 1999 (<xref ref-type="fig" rid="fig2">Figure 2</xref>). Tang (2003) employing for the first time AVHRR images in the study of thermal discharge from the DNPS, reported that the power station thermal discharge caused increasing water temperature, and the spatial distribution of thermal discharges had different seasonal patterns (<xref ref-type="fig" rid="fig2">Figure 2</xref>) [<xref ref-type="bibr" rid="scirp.65571-ref13">13</xref>] : the thermal plume extended over 40 - 100 km<sup>2</sup> to the southeastern part of the bay in the summer, whereas it was limited to a rather small area in the western side of the power station, during the winter; This seasonal variation of the size of the thermal plume was attributed to the way the discharged water is mixing with the seawater. During the winter, the relatively warmer discharged water diffuses into the seawater quickly; therefore the area of thermal anomaly is small. In the summer, however, the disposed water is comparatively cooler and denser, resulting in a stratified flow on the surface of the seawater and much wider propagation.</p><p>Thus it can be seen that the combination of in situ data and satellite SST data provided a better understanding of the long-term environmental changes in Daya Bay in response to the variation of water temperature [<xref ref-type="bibr" rid="scirp.65571-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.65571-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.65571-ref18">18</xref>] .</p></sec><sec id="s4"><title>4. Ecological Responds to Thermal Water Discharge from Power Stations</title><sec id="s4_1"><title>4.1. Environmental Changes</title><p>Increased water temperatures may affect the water environment [<xref ref-type="bibr" rid="scirp.65571-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.65571-ref11">11</xref>] . Firstly, the spatial distributions and seasonal variations of Dissolved Oxygen (DO) are consistent with the water temperature. In light of the fact that the seawater complies with the First Class of National Seawater Quality Standards for China, this is probably due to the progressive increases of the SST, even though such cases were caused by the decline in water quality (eutrophication) in the past [<xref ref-type="bibr" rid="scirp.65571-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.65571-ref19">19</xref>] .</p><p>The Chemical Oxygen Demand (COD) values were lower in Daya Bay than in the other seas in China, and showed two decreasing trend in 1989-1999, and 2001-2003, respectively, indicating that organic pollution was much lower in other seas in China [<xref ref-type="bibr" rid="scirp.65571-ref19">19</xref>] .</p><p>The nutrient structure has been substantially changed since 1985 [<xref ref-type="bibr" rid="scirp.65571-ref14">14</xref>] . During the period of 1985-2004, the dissolved inorganic nitrogen increased from 1.53 &#181;mol∙L<sup>−1</sup> to 5.40 &#181;mol∙L<sup>−1</sup>, while PO<sub>4</sub>-P and SiO<sub>3</sub>-Si decreased from 1.12 &#181;mol∙L<sup>−1</sup> and 39.50 &#181;mol∙L<sup>−1</sup> to 0.11 &#181;mol∙L<sup>−1</sup> and 12.82 &#181;mol∙L<sup>−1</sup>, respectively. The average ratio of molar N/P showed an increasing trend from 1985 to 2004, although the molar Si/P decreased after 2002, its increasing trend was still obvious during 1985-2004 [<xref ref-type="bibr" rid="scirp.65571-ref16">16</xref>] .</p><fig id="fig2"  position="float"><label><xref ref-type="fig" rid="fig2">Figure 2</xref></label><caption><title> Satellite images showing SST in the Daya Bay before DNPS (a) and after DNPS (b), (c), and seasonal pattern of spatial distribution of thermal discharges. The circles indicate the location of the power station (DNPS); color bars with different ranges show sea surface temperature (SST). (a) January, 1985 [<xref ref-type="bibr" rid="scirp.65571-ref14">14</xref>] ; (b) January, 1999 [<xref ref-type="bibr" rid="scirp.65571-ref13">13</xref>] ; (c) August, 1998 [<xref ref-type="bibr" rid="scirp.65571-ref13">13</xref>] </title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-2000583x8.png"/></fig></sec><sec id="s4_2"><title>4.2. Changes of Phytoplankton Communities, Increases Chl-a and Harmful Algal Bloom (HAB)</title><p>The Chl-a, biomass and phytoplankton community structure, caused by human activity, pollution and eutrophication, have been changed in recent years in Daya Bay [<xref ref-type="bibr" rid="scirp.65571-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.65571-ref28">28</xref>] - [<xref ref-type="bibr" rid="scirp.65571-ref30">30</xref>] . The thermal water discharge from nuclear power stations can lead to stronger stratification and changes in hydrodynamic condition, which may affect algal growth [<xref ref-type="bibr" rid="scirp.65571-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.65571-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.65571-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.65571-ref19">19</xref>] . Water temperature increase was the most important factor affecting the changes in concentrations and species composition of the phytoplankton community, which could decrease the biomass, density, and species composition [<xref ref-type="bibr" rid="scirp.65571-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.65571-ref31">31</xref>] [<xref ref-type="bibr" rid="scirp.65571-ref32">32</xref>] . In Daya Bay, after 1994, the amount of warm-water phytoplankton species and the relative percentage of dinoflagellate increased, while the net-phytoplankton decreased coincidently with the increase of Chl-a concentrations [<xref ref-type="bibr" rid="scirp.65571-ref33">33</xref>] - [<xref ref-type="bibr" rid="scirp.65571-ref35">35</xref>] .</p><p>Water temperature is usually low in winter months (November to February) in Daya Bay, but it increased after 1994, making the water conditions more favorable to algal growth [<xref ref-type="bibr" rid="scirp.65571-ref31">31</xref>] [<xref ref-type="bibr" rid="scirp.65571-ref32">32</xref>] [<xref ref-type="bibr" rid="scirp.65571-ref36">36</xref>] . Although the mean annual abundances of phytoplankton showed a decreasing trend, the phytoplankton cell density in end-autumn and winter days has increased comparatively [<xref ref-type="bibr" rid="scirp.65571-ref36">36</xref>] . However, compared to the increasing trend of Chl-a, the annual mean net-phytoplankton abundances and phytoplankton species were lower in the years after 1994 than the period from 1985 to 1993. The changes in phytoplankton communities might indirectly influence the middle sections of the food chain in the bay such as fish, the number of species, and individual weight of the fish, for example [<xref ref-type="bibr" rid="scirp.65571-ref19">19</xref>] .</p><p>The decreased net-phytoplankton abundance and increased Chl-a indicate that, responding to the increased water temperature, the diversity of phytoplankton community has decreased, and the phytoplankton communities tend to be dominated by small-sized species [<xref ref-type="bibr" rid="scirp.65571-ref16">16</xref>] . As a result, the percentage of relative big-cell species, such as Rhizosolenia alata f. gracillima, Chaetoceros compressus, C. pseudocurvisetus, R. alata, C. curvisetus, C. siamense, and Bacteriastrum hyalinum, dominating the cell density of the entire phytoplankton community, decreased from 1982 to 1998, while the percentage of relative small-cell species, such as Nitzschia pungens, Skeletonema costatum, C. affinis, and Leptocylindrus danicus increased during the same period (<xref ref-type="fig" rid="fig3">Figure 3</xref>).</p><p>In the South China Sea, occurrences of HABs are closely related to water temperature, especially in the waters adjacent to Daya Bay [<xref ref-type="bibr" rid="scirp.65571-ref37">37</xref>] [<xref ref-type="bibr" rid="scirp.65571-ref38">38</xref>] . Relevant studies showed that when approaching the power station, the water</p><fig id="fig3"  position="float"><label><xref ref-type="fig" rid="fig3">Figure 3</xref></label><caption><title> Phytoplankton community cell size and occurrences of HABs in the Daya Bay associated with water temperature from 1982 to 2004. (a) The decrease of the percentage of relative big-cell species of phytoplankton community and the increase of relative small-cell species during 1982- 1998 [<xref ref-type="bibr" rid="scirp.65571-ref16">16</xref>] ; (b) Occurring frequencies of HABs; (c) Water surface temperature [<xref ref-type="bibr" rid="scirp.65571-ref15">15</xref>] </title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-2000583x9.png"/></fig><p>temperature increases and could create conditions favorable for algal growth [<xref ref-type="bibr" rid="scirp.65571-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.65571-ref36">36</xref>] . In Daya Bay, as the water temperature increased, the occurrence frequencies of HABs also significantly increased after 1994 (<xref ref-type="fig" rid="fig3">Figure 3</xref>). In the HAB events, new warm-water algal species such as Peridinium quinquecorne was observed while water temperature was relatively warm, the duration of HAB has become longer, and the HAB-affected area has extended [<xref ref-type="bibr" rid="scirp.65571-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.65571-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.65571-ref18">18</xref>] .</p><p>The Chl-a concentration increased from 1985 to 2004, and the annual Chl-a concentrations were all higher during 1994-2004 than in the years before 1994 [<xref ref-type="bibr" rid="scirp.65571-ref19">19</xref>] . Tang et al. observed the Chl-a concentration in the whole bay and found the concentration was coincident with variations of water temperature [<xref ref-type="bibr" rid="scirp.65571-ref13">13</xref>] . High Chl-a concentration was found near the DNPS [<xref ref-type="bibr" rid="scirp.65571-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.65571-ref18">18</xref>] , suggesting the high Chl-a concentration resulted from the warm water discharge. In addition to the effect of water temperature, the growth of phytoplankton is limited by nitrogen in spring and winter, and by phosphate in summer and autumn, therefore high values of TIN/P and Si/P occurring in recent years has caused the increasing and higher values of Chl-a concentration in summer and autumn [<xref ref-type="bibr" rid="scirp.65571-ref19">19</xref>] .</p></sec><sec id="s4_3"><title>4.3. Other Marine Organisms Response to Water Temperature Increase</title><p>In Daya Bay, NPP have a proven impact on the ecological environment, and water temperature is one of the major influencing factors [<xref ref-type="bibr" rid="scirp.65571-ref13">13</xref>] - [<xref ref-type="bibr" rid="scirp.65571-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.65571-ref18">18</xref>] . The influences of increasing water temperature can be demonstrated by the increase of Chl-a concentration and the decrease of phytoplankton abundances. The activities of organisms in subsequence trophic levels such as the spawn, growth, prey of fish, shrimp and shellfish in the bay are also critically impaired. Finally the fishery declined and became limited to a certain small community [<xref ref-type="bibr" rid="scirp.65571-ref39">39</xref>] [<xref ref-type="bibr" rid="scirp.65571-ref40">40</xref>] . Generally, both the main fish species and the mean individual fish weight decreased from 1985 to 2005 [<xref ref-type="bibr" rid="scirp.65571-ref19">19</xref>] .</p><p>The present macrozoobenthic community in Daya Bay is different from that of the 1980s’, with largely different species and reduced community stability and complexity [<xref ref-type="bibr" rid="scirp.65571-ref41">41</xref>] . Due to increasing water temperature, there was a significant decline in coral coverage during the past 25 years (i.e., 76.6% coral coverage in 1983/1984 dropped to only 15.3% in 2008). The dominant species of coral community changed from Acropora pruinosa to Favites abdita [<xref ref-type="bibr" rid="scirp.65571-ref42">42</xref>] . As the hermatypic corals were demolished, the phenomenon of stony coral bleaching appeared [<xref ref-type="bibr" rid="scirp.65571-ref19">19</xref>] . These results indicate that warm water from the DNPS and LNPS has great ecological effects.</p></sec></sec><sec id="s5"><title>5. Summary</title><p>Long-term variation of water temperature has clear correlation with ecological parameters. Taking 1985 as a reference, there were obviously larger average variations of the ecological parameters during 1997-2004 compared with the period of 1987-1991 (<xref ref-type="table" rid="table2">Table 2</xref>). That suggests that the increasing water temperature amplified the variations and the effects of other factors. Previous statistical analysis also showed that the change of phytoplankton community cell size structure was more due to water temperature than nutrients [<xref ref-type="bibr" rid="scirp.65571-ref16">16</xref>] , suggesting that</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> The average variational range of the ecological parameters in the periods of 1987-1991, 1994, and 1997-2004, taking reference of 1985</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Average variational range of parameters</th><th align="center" valign="middle" >1987-1991</th><th align="center" valign="middle" >1994</th><th align="center" valign="middle" >1997-2004</th></tr></thead><tr><td align="center" valign="middle" >T (˚C)</td><td align="center" valign="middle" >−0.63</td><td align="center" valign="middle" >0.58</td><td align="center" valign="middle" >0.67</td></tr><tr><td align="center" valign="middle" >Chl-a (mg/m<sup>3</sup>)</td><td align="center" valign="middle" >0.32</td><td align="center" valign="middle" >0.63</td><td align="center" valign="middle" >1.14</td></tr><tr><td align="center" valign="middle" >Cells density (&#215;10<sup>7</sup> ind/m<sup>3</sup>)</td><td align="center" valign="middle" >−4.41</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >−5.98</td></tr><tr><td align="center" valign="middle" >Species</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >−47</td><td align="center" valign="middle" >−51</td></tr><tr><td align="center" valign="middle" >Total inorganic nitrogen (μmol/L)</td><td align="center" valign="middle" >0.6</td><td align="center" valign="middle" >0.34</td><td align="center" valign="middle" >3.01</td></tr><tr><td align="center" valign="middle" >SiO<sub>3</sub>-Si (μmol/L)</td><td align="center" valign="middle" >−18.84</td><td align="center" valign="middle" >−26.05</td><td align="center" valign="middle" >−21.09</td></tr><tr><td align="center" valign="middle" >PO<sub>4</sub>-P (μmol/L)</td><td align="center" valign="middle" >−0.762</td><td align="center" valign="middle" >−0.86</td><td align="center" valign="middle" >−0.99</td></tr><tr><td align="center" valign="middle" >Molar TIN/P</td><td align="center" valign="middle" >4.57</td><td align="center" valign="middle" >5.92</td><td align="center" valign="middle" >36.75</td></tr><tr><td align="center" valign="middle" >Molar Si/P</td><td align="center" valign="middle" >22.44</td><td align="center" valign="middle" >17.15</td><td align="center" valign="middle" >119.76</td></tr></tbody></table></table-wrap><fig id="fig4"  position="float"><label><xref ref-type="fig" rid="fig4">Figure 4</xref></label><caption><title> Concept of environmental factors that affect ecosystem of the Daya Bay</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/3-2000583x10.png"/></fig><p>variation of water temperature was more influential than nutrients on the organisms. As a result, warm water accelerated the growth of some phytoplankton, and caused increase of Chl-a, but the whole phytoplankton abundance and species diversity decreased. Phytoplankton species with relatively large body size were overwhelmed by species with relatively small body size; therefore the area was dominated by smaller species. The ecological environment tended to decline, coinciding with thermal discharge from the NPS.</p><p>In conclusion, Daya Bay has been affected by both natural factors (such as global warming) and human activities, where human activities, including coastal changes, pollution, and thermal discharge, have worse impacts (<xref ref-type="fig" rid="fig4">Figure 4</xref>). The increasing water temperature due to thermal discharges from two NPS is a major environmental driver that can enhance other impacts. Reduction of the negative influence of human activities is greatly suggested to protect the ecological environment of Daya Bay.</p></sec><sec id="s6"><title>Acknowledgements</title><p>This study is supported by research projects awarded to Professor Dan Ling Tang: 1) Key project, National Natural Sciences Foundation of China (41430968). 2) The open project of State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences (LTO1204). 3) China Petroleum &amp; Chemical Corporation (313099). 4) China-Romania Inter-Governmental S&amp;T Cooperation (41-26, Tang and Boicenco).</p></sec><sec id="s7"><title>Cite this paper</title><p>Yanju Hao,Danling Tang,Laura Boicenco,Sufen Wang, (2016) Environmental Ecological Response to Increasing Water Temperature in the Daya Bay, Southern China in 1982-2012. Natural Resources,07,184-192. doi: 10.4236/nr.2016.74017</p></sec><sec id="s8"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.65571-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Tang, D.L., Kawamura, H., Shi, P., Takahashi, W., Shimada, T., Sakaida, F. and Isoguchi, O. (2006) Seasonal Phytoplankton Blooms Associated with Monsoonal Influences and Coastal Environments in the Sea Areas Either Side of the Indochina Peninsula. Journal of Geophysical Research, 111, G01010. http://dx.doi.org/10.1029/2005JG000050</mixed-citation></ref><ref id="scirp.65571-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Saravanan, P., Priya, A.M., Sundarakrishnan, B., Venugopalanb, V.P., Rao, T.S. and Jayachandran, S. (2008) Effects of Thermal Discharge from a Nuclear Power Plant on Culturable Bacteria at a Tropical Coastal Location in India. Journal of Thermal Biology, 33, 385-394. http://dx.doi.org/10.1016/j.jtherbio.2008.06.006</mixed-citation></ref><ref id="scirp.65571-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Dale, B. (2009) Eutrophication Signals in the Sedimentary Record of Dinoflagellate Cysts in Coastal Waters. Journal of Sea Research, 61, 103-113. http://dx.doi.org/10.1016/j.seares.2008.06.007</mixed-citation></ref><ref id="scirp.65571-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Nerem, R.S., Leuliette, E. and Cazenave, A. (2006) Present-Day Sea-Level Change: A Review. C. R. Geoscience, 338, 1077-1083. http://dx.doi.org/10.1016/j.crte.2006.09.001</mixed-citation></ref><ref id="scirp.65571-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Song, X.Y., Huang, L.M., Zhang, J.L., Huang, H.H., Li, T. and Su, Q. (2009) Harmful Algal Blooms (HABs) in Daya Bay, China: An in Situ Study of Primary Production and Environmental Impacts. Marine Pollution Bulletin, 58, 1310-1318. http://dx.doi.org/10.1016/j.marpolbul.2009.04.030</mixed-citation></ref><ref id="scirp.65571-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Briand, F.J.P. (1975) Effects of Power-Plant Cooling Systems on Marine Phytoplankton. Marine Biology, 33, 135-148. 
http://dx.doi.org/10.1007/BF00390718</mixed-citation></ref><ref id="scirp.65571-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Mustard, J.F., Carney, M.A. and Sen, A. (1999) The Use of Satellite Data to Quantify Thermal Effluent Impacts. Estuarine, Coastal and Shelf Science, 49, 509-524. http://dx.doi.org/10.1006/ecss.1999.0517</mixed-citation></ref><ref id="scirp.65571-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Fox, M.F., Kester, D.R., Andrews, J.E., Magnuson, A. and Zoski, C.G. (2000) Seasonal Warming of Narragansett Bay and Rhode Island Sound in 1997: Advanced Very High Resolution Radiometer Sea Surface Temperature and in Situ Measurements. Journal of Geophysical Research, 105, 22071-22082. http://dx.doi.org/10.1029/1999JC000146</mixed-citation></ref><ref id="scirp.65571-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Horvath, R.S. and Bren, M.M. (1972) Thermal Pollution and the Aquatic Microbial Community: Possible Consequences. Environmental Pollution, 3, 143-146. http://dx.doi.org/10.1016/0013-9327(72)90034-1</mixed-citation></ref><ref id="scirp.65571-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">O’Riley, S.C., Fausch, K.D. and Guwan, C. (1992) Movement of Brook Trout (Salvelinus fontinalis) in Four Small Subalpine Streams in Northern Colorado. Ecology of Freshwater Fish, 1, 112-122.  
http://dx.doi.org/10.1111/j.1600-0633.1992.tb00080.x</mixed-citation></ref><ref id="scirp.65571-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Ahn, Y.H., Shanmugam, P., Lee, J.H. and Kang, Y.Q. (2006) Application of Satellite Infrared Data for Mapping of Thermal Plume Contamination in Coastal Ecosystem of Korea. Marine Environmental Research, 61, 186-201.  
http://dx.doi.org/10.1016/j.marenvres.2005.09.001</mixed-citation></ref><ref id="scirp.65571-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Teixeira, T.P., Neves, L.M. and Araújo, F.G. (2009) Effects of a Nuclear Power Plant Thermal Discharge on Habitat Complexity and Fish Community Structure in Ilha Grande Bay, Brazil. Marine Environmental Research, 68, 188-195.  
http://dx.doi.org/10.1016/j.marenvres.2009.06.004</mixed-citation></ref><ref id="scirp.65571-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Tang, D.L., Kester, D.R., Wang, Z.D., Lian, J.S. and Kawamura, H. (2003) AVHRR Satellite Remote Sensing and Shipboard Measurements of the Thermal Plume from the Daya Bay, Nuclear Power Station, China. Remote Sensing of Environment, 84, 506-515. http://dx.doi.org/10.1016/S0034-4257(02)00149-9</mixed-citation></ref><ref id="scirp.65571-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Yu, J., Tang, D.L., Oh, I.S. and Yao, L.J. (2007) Response of Harmful Algal Blooms to Environmental Changes in Daya Bay, China. Terrestrial, Atmospheric and Oceanic Sciences, 18, 1011-1027.  
http://dx.doi.org/10.3319/TAO.2007.18.5.1011(Oc)</mixed-citation></ref><ref id="scirp.65571-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Yu, J., Tang, D.L., Yao, L.J., Chen, P.M., Jia, X.P. and Li, C.H. (2010) Long-Term Water Temperature Variations in Daya Bay, China Using Satellite and in Situ Observations. Terrestrial, Atmospheric and Oceanic Sciences, 21, 393-399.  
http://dx.doi.org/10.3319/TAO.2009.05.26.01(Oc)</mixed-citation></ref><ref id="scirp.65571-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Hao, Y.J., Tang, D.L. and Boicenco, L. (2012) Variations of Phytoplankton Community Structure in Response to Increasing Water Temperature in the Daya Bay, China. Journal of Environmental Protection and Ecology, 13, 1721-1729.</mixed-citation></ref><ref id="scirp.65571-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Tang, D.L. and Ni, I.H. (1996) Remote Sensing of Hong Kong Waters: Spatial and Temporal Changes of Sea Surface Temperature. Acta Oceanographic Taiwanica, 35, 173-186.</mixed-citation></ref><ref id="scirp.65571-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Yu, J., Tang, D.L., Wang, S.F., Lian, J.S. and Wang, Y.S. (2007) Changes of Water Temperature and Harmful Algal Bloom in Daya Bay in the Northern South China Sea. Marine Science Bulletin, 9, 26-33.</mixed-citation></ref><ref id="scirp.65571-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Wang, Y.S., Lou, Z.P., Sun, C.C. and Sun, S. (2008) Ecological Environment Changes in Daya Bay, China, from 1982 to 2004. Marine Pollution Bulletin, 56, 1871-1879. http://dx.doi.org/10.1016/j.marpolbul.2008.07.017</mixed-citation></ref><ref id="scirp.65571-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Levitus, S., Antonov, J.I., Boyer, T.P. and Stephens, C. (2000) Warming of the World Ocean. Science, 287, 2225-2229.  
http://dx.doi.org/10.1126/science.287.5461.2225</mixed-citation></ref><ref id="scirp.65571-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Lin, C., Su, J., Xu, B. and Tang, Q. (2001) Long-Term Variations of Temperature and Salinity of the Bohai Sea and Their Influence on Its Ecosystem. Progress in Oceanography, 49, 7-19.  
http://dx.doi.org/10.1016/S0079-6611(01)00013-1</mixed-citation></ref><ref id="scirp.65571-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Belkin, M.I. and Lee, M.A. (2014) Long-Term Variability of Sea Surface Temperature in Taiwan Strait. Climatic Change, 124, 821-834. http://dx.doi.org/10.1007/s10584-014-1121-4</mixed-citation></ref><ref id="scirp.65571-ref23"><label>23</label><mixed-citation publication-type="book" xlink:type="simple">Huang, X.N., Zhu, Z.H. and Xu, M.C. (1998) Variation of Water Temperature in the Southwestern Daya Bay before and after the Operation of Daya Bay Nuclear Power Plant. In: Pan, J.P. and Wang, Z.D., Eds., Annual Research Reports (II): Marine Biology Research Station at Daya Bay, Science Publishing House, Beijing, 102-112.</mixed-citation></ref><ref id="scirp.65571-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Peng, Y.H., Chen, H.R., Pan, M.X., Huang, H.H. and Gao, H.L. (2001) The Primary Production and Potential Fishery Production in the Sea Area around the Daya Bay Nuclear Power Station before and after the Operation of DBNPS. Journal of Fisheries of China, 25, 161-165.</mixed-citation></ref><ref id="scirp.65571-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Tang, D.L., Kester, D.R., Ni, I.H., Kawamura, H. and Hong, H. (2002) Upwelling in the Taiwan Strait during the Summer Monsoon Detected by Satellite and Shipboard Measurements. Remote Sensing of Environment, 83, 457-471.  
http://dx.doi.org/10.1016/S0034-4257(02)00062-7</mixed-citation></ref><ref id="scirp.65571-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Wynne, T.T., Stumpf, R.P., Tomlinson, M.C., Ransibrahmanakul, V. and Villareal, T.A. (2005) Detecting Karenia brevis Blooms and Algal Resuspension in the Western Gulf of Mexico with Satellite Ocean Color Imagery. Harmful Algae, 4, 992-1003. http://dx.doi.org/10.1016/j.hal.2005.02.004</mixed-citation></ref><ref id="scirp.65571-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Chen, C.Q., Shi, P. and Mao, Q.W. (2003) Application of Remote Sensing Techniques for Monitoring the Thermal Pollution of Cooling-Water Discharge from Nuclear Power Plant. Journal of Environmental Science and Health (Part A-Toxic/Hazardous Substance &amp; Environmental Engineering), 38, 1659-1668.  
http://dx.doi.org/10.1081/ESE-120021487</mixed-citation></ref><ref id="scirp.65571-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Zhou, P., Lin, Y. and Wang, Z. (1998) A Statistical Analysis on Phytoplankton Community Features in Waters of Daya Bay. Tropic Oceanology, 17, 57-64.</mixed-citation></ref><ref id="scirp.65571-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Zhou, J.L. and Maskaoui, K. (2003) Distribution of Polycyclic Aromatic Hydrocarbons in Water and Surface Sediments from Daya Bay, China. Environmental Pollution, 21, 269-281.  
http://dx.doi.org/10.1016/S0269-7491(02)00215-4</mixed-citation></ref><ref id="scirp.65571-ref30"><label>30</label><mixed-citation publication-type="other" xlink:type="simple">Wu, M.L. and Wang, Y.S. (2007) Using Chemometrics to Evaluate Anthropogenic Effects in Daya Bay, China. Estuarine, Coastal and Shelf Science, 72, 732-742. http://dx.doi.org/10.1016/j.ecss.2006.11.032</mixed-citation></ref><ref id="scirp.65571-ref31"><label>31</label><mixed-citation publication-type="other" xlink:type="simple">Wang, Z.H., Chen, J.F., Xu, N. and Qi, Y.Z. (2001) Relationship between Seasonal Variations in Gymnodinium spp. Population and Environmental Factors in Daya Bay, the South China Sea. Acta Ecologica Sinica, 21, 1825-1832.</mixed-citation></ref><ref id="scirp.65571-ref32"><label>32</label><mixed-citation publication-type="other" xlink:type="simple">Song, X.Y., Huang, L.M., Zhang, J.L., Huang, X.P., Zhang, J.B., Yin, J.Q., Tan, Y.H. and Liu, S. (2004) Variation of Phytoplankton Biomass and Primary Production in Daya Bay during Spring and Summer. Marine Pollution Bulletin, 49, 1036-1044. http://dx.doi.org/10.1016/j.marpolbul.2004.07.008</mixed-citation></ref><ref id="scirp.65571-ref33"><label>33</label><mixed-citation publication-type="other" xlink:type="simple">Sun, C.C., Wang, Y.S., Sun, S. and Zhang, F.Q. (2006) Dynamic Analysis of Phytoplankton Community Characteristics in Daya Bay, China. Acta Ecologica Sinica, 26, 3948-3958. http://dx.doi.org/10.1016/S1872-2032(07)60005-5</mixed-citation></ref><ref id="scirp.65571-ref34"><label>34</label><mixed-citation publication-type="other" xlink:type="simple">Wang, Z.H., Qi, Y.Z., Chen, J.F., Xu, N. and Yang, Y.F. (2006) Phytoplankton Abundance, Community Structure and Nutrients in Cultural Area of Daya Bay, South China Sea. Journal of Marine Systems, 62, 85-94.  
http://dx.doi.org/10.1016/j.jmarsys.2006.04.008</mixed-citation></ref><ref id="scirp.65571-ref35"><label>35</label><mixed-citation publication-type="other" xlink:type="simple">Wang, Z.H., Zhao, J.G., Zhang, Y.J. and Cao, Y. (2009) Phytoplankton Community Structure and Environmental Parameters in Aquaculture Areas of Daya Bay, South China Sea. Journal of Environmental Sciences, 21, 1268-1275.  
http://dx.doi.org/10.1016/S1001-0742(08)62414-6</mixed-citation></ref><ref id="scirp.65571-ref36"><label>36</label><mixed-citation publication-type="other" xlink:type="simple">Liu, S., Huang, L.M., Huang, H., Lian, J.S., Long, A.M. and Li, T. (2006) Ecological Response of Phytoplankton to the Operation of Daya Bay Nuclear Power Station. Marine Environment Science, 25, 9-25.</mixed-citation></ref><ref id="scirp.65571-ref37"><label>37</label><mixed-citation publication-type="other" xlink:type="simple">Tang, D.L., Kester, D.R., Ni, I.H., Qi, Y.Z. and Kawamura, H. (2003) In Situ and Satellite Observations of a Harmful Algal Bloom and Water Condition at the Pearl River Estuary in Late Autumn 1998. Harmful Alga, 2, 89-99.  
http://dx.doi.org/10.1016/S1568-9883(03)00021-0</mixed-citation></ref><ref id="scirp.65571-ref38"><label>38</label><mixed-citation publication-type="other" xlink:type="simple">Tang, D.L, Di, B.P., Wei, G., Ni, I.H., Oh, I.S. and Wang, S.F. (2006) Spatial, Seasonal and Species Variations of Harmful Algal Blooms in the South Yellow Sea and East China Sea. Hydrobiologia, 568, 245-253.  
http://dx.doi.org/10.1007/s10750-006-0108-1</mixed-citation></ref><ref id="scirp.65571-ref39"><label>39</label><mixed-citation publication-type="other" xlink:type="simple">Qiu, Y.W., Wang, Z.D. and Zhu, L.S. (2005) Variation Trend of Nutrient and Chlorophyll Contents and Their Effects on Ecological Environment in Daya Bay. Journal of Oceanography in Taiwan Strait, 24, 131-139.</mixed-citation></ref><ref id="scirp.65571-ref40"><label>40</label><mixed-citation publication-type="other" xlink:type="simple">Sun, B.Q., Li, H.X. and Yan, Y. (2007) Fish Community Diversity in the Western Daya Bay Waters. Fisheries Science, 26, 394-399.</mixed-citation></ref><ref id="scirp.65571-ref41"><label>41</label><mixed-citation publication-type="other" xlink:type="simple">Du, F.Y., Wang, X.H., Li, C.H., Zhang, H.H. and Jia, X.P. (2009) Macrobenthic Community Structure in Daya Bay, South China Sea. Acta Ecologica Sinica, 29, 1091-1098.</mixed-citation></ref><ref id="scirp.65571-ref42"><label>42</label><mixed-citation publication-type="other" xlink:type="simple">Chen, T.R., Yu, K.F., Shi, Q., Li, S., Price, J.G., Wang, R., Zhao, M.X., Chen, T.G. and Zhao, J.X. (2009) Twenty-Five Years of Change in Scleractinian Coral Communities of Daya Bay (Northern South China Sea) and Its Response to the 2008 AD Extreme Cold Climate Event. Chinese Science Bulletin, 54, 2107-2117.  
http://dx.doi.org/10.1007/s11434-009-0007-8</mixed-citation></ref></ref-list></back></article>