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Introduction to Estuarine Gradients Activity Overview — Transcript

by Jeffrey Ashley · 813 words · 132 segments · language en · Watch on YouTube

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  1. 0:00Hi there, I'm Dr. Jeff Ashley and in
  2. 0:02this activity, we'll be exploring
  3. 0:05estuary gradients. Remember from our
  4. 0:08video lecture that estuaries are
  5. 0:10semi-encclosed body of waters where
  6. 0:12fresh water meets salt water. Here we
  7. 0:14have a depiction of this called the
  8. 0:16Clark estuary. Our fresh water would be
  9. 0:18coming in from our river here on our
  10. 0:21left, entering this semi-encclosed water
  11. 0:23body where that fresh water would meet
  12. 0:26the salt water. So the ocean is here off
  13. 0:28to the right. It would be great if we
  14. 0:30could take a boat and sample, but we're
  15. 0:33going to do that virtually. So, let's
  16. 0:35get
  17. 0:36started. In this activity, you'll be
  18. 0:39looking at eight sampling sites that
  19. 0:41range from the head of the estuary,
  20. 0:44which is the start of the river, to the
  21. 0:47mouth of the estuary, which is where it
  22. 0:49meets the ocean. You're going to be
  23. 0:51measuring and accumulating data on three
  24. 0:54parameters. The first parameter is
  25. 0:57called suspended sediment. We've
  26. 0:59discussed this before, especially when
  27. 1:01we talked about sea whiffs data and the
  28. 1:04color of the ocean. We said sometimes
  29. 1:06that land-based activities like runoff
  30. 1:09could take some of that sediment
  31. 1:11material from the land and put it into
  32. 1:13the water body. That's essentially what
  33. 1:15suspended sediment is. All of these
  34. 1:18particles, some of them large particles,
  35. 1:21but mostly fine particles that are
  36. 1:23suspended in the water, they essentially
  37. 1:26cloud the water, making it turbid or
  38. 1:29cloudy. The more suspended sediment you
  39. 1:32have, the cloudier the water will look.
  40. 1:34Remember that we discussed a great
  41. 1:36method when you're in the field for
  42. 1:37looking at turbidity or cloudiness was
  43. 1:40the use of the SEI disc. Here along
  44. 1:44these eight sampling stations, one liter
  45. 1:47of water has been collected. You'll be
  46. 1:50evaluating the suspended sediment
  47. 1:52concentration by a colormetric visual
  48. 1:55inspection. That is, you'll be comparing
  49. 1:57the color of the sample of water to this
  50. 2:00spectrum, which will allow you then to
  51. 2:02match the color and then evaluate the
  52. 2:05concentration of suspended sediments.
  53. 2:07Evaluating suspended sediment
  54. 2:09concentrations in water is really
  55. 2:11important. High suspended sediments,
  56. 2:13that means a whole bunch of suspended
  57. 2:15sediments throughout your water column,
  58. 2:17impede the ability of phytolanton to
  59. 2:20photosynthesize because they shade some
  60. 2:22of that photosynthetic radiation coming
  61. 2:25down. Clearer water allows more light to
  62. 2:28penetrate. Phytolankton love that.
  63. 2:30Phytolankton need, as I said before, two
  64. 2:32things. They need sunlight to
  65. 2:34photosynthesize, but they also need
  66. 2:36nutrients. So in this example, you would
  67. 2:39match the color of your sample to this
  68. 2:41spectrum here to determine the
  69. 2:43concentration of suspended sediments.
  70. 2:45Then you would record that in your data
  71. 2:46sheet. The second parameter that you'll
  72. 2:49be evaluating is nutrient concentration.
  73. 2:51As I just said, phytolankton need
  74. 2:53sunlight. That's great. And they also
  75. 2:56need nutrients. Nutrients are primarily
  76. 2:58phosphorus and nitrogen containing
  77. 3:00compounds, but we'll just group them
  78. 3:02together and call it nutrient
  79. 3:03concentration. Here you'll count up the
  80. 3:06nutrient discs 1 2 3 4 5 6 and realize
  81. 3:11that each of these discs represents a
  82. 3:13concentration of 0.05 mg per liter. If
  83. 3:17you have six of them, you would multiply
  84. 3:19six
  85. 3:20by 05 mg per liter and come up with the
  86. 3:24total concentration for nutrients in the
  87. 3:26water. Where do nutrients come from? A
  88. 3:29lot of the nutrients in east estuaries
  89. 3:31come from runoff from land-based
  90. 3:34activities such as agriculture or
  91. 3:36wastewater treatment plants.
  92. 3:38Phytolankton need these nutrients. So
  93. 3:42the next parameter follows
  94. 3:44that. You'll be evaluating phytolanton
  95. 3:47concentration by counting up the number
  96. 3:49of phytolanonic icons or little discs in
  97. 3:52each of the
  98. 3:53beaker. Let's go through an example.
  99. 3:56Here's a sample here with 1 2 3 4 5 6
  100. 4:01seven phytolantonic
  101. 4:04icons. Each of these icons, although
  102. 4:07they're different, represents 100,000
  103. 4:10cells per liter. Since we have seven in
  104. 4:13this particular sample, we would
  105. 4:15multiply 7 by 100,000 cells per liter to
  106. 4:19get a total phytolanton phyto
  107. 4:22phytolantonic concentration of 700,000
  108. 4:25cells per liter. Okay, now that we know
  109. 4:28what we're doing and how we garner the
  110. 4:30data for this activity, I want you to
  111. 4:32read the introduction. It's short, but
  112. 4:34it's going to go through a little more
  113. 4:36detail on what suspended sediment
  114. 4:38concentrations are, what nutrient
  115. 4:39concentrations are, and what phytolanton
  116. 4:41concentrations are. And then using the
  117. 4:44data from each one of these eight sites,
  118. 4:47you'll accumulate a data set. You'll do
  119. 4:49some plots and you'll do some
  120. 4:50interpretations of those data. You'll be
  121. 4:52using this PowerPoint. This PowerPoint
  122. 4:54is interactive. So, if you click on site
  123. 4:57one or site two, it'll take you directly
  124. 4:59to the data set. Or you can just follow
  125. 5:02along sequentially here as we go
  126. 5:05through. All right, have fun with this.
  127. 5:07I hope you enjoy it. It's the second
  128. 5:09best thing to being in the field. So,
  129. 5:12this is a great opportunity for you to
  130. 5:14work with some real data and look at
  131. 5:16what happens along the gradients of
  132. 5:18estuaries.

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