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MidAtlantic Native Bee Phenology


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A set of phenological charts for the genera and common species of native bees occurring in the Mid-Atlantic region (Maryland, Pennsylvania, Delaware, District of Columbia, Virginia, West Virginia), created from the USGS Native Bee Database housed at Disvoerlife

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MidAtlantic Native Bee Phenology

  1. 1. The Weekly Phenology of Bees of the Mid-Atlantic States: MD, VA, WV, DC, PA, DE Sam Droege [email_address]
  2. 2. Objectives of This Presentation <ul><li>A quick coarse look at the week-by-week phenologies of common genera and species of bees in the Mid-Atlantic area using collections from the USGS bee database </li></ul><ul><li>Corrections for effort and better graphics were NOT the objective (too time consuming, for Sam), but anyone who would like to make those efforts is welcome to have the dataset </li></ul><ul><li>We also want to demonstrate one of the many values of keeping detailed data on ALL the bees that are caught not just the “good” ones. </li></ul>
  3. 3. Where Do These Data Come From? <ul><li>They come from a joint database that is maintained by Sam Droege and Discoverlife ( ) </li></ul><ul><li>Many collectors were involved but the primary ones have been Sam Droege, Jane Whitaker, Heather Harmon, and Cathy Strager </li></ul>
  4. 4. Who Can Use These Graphs? <ul><li>Anyone who wants to, we are public servants and this is public data and we want it widely used, but it would be very nice if you acknowledged the work of the people listed in this presentation, and then followed up by doing something nice for someone else, perhaps calling a relative who you haven’t talked to in a while…that sort of thing </li></ul>
  5. 5. Data Facts <ul><li>Data were collected primarily by bowl traps and netting </li></ul><ul><li>Data reflect projects by the participants and therefore effort varied from year-to-year and week-to-week </li></ul><ul><li>Data from April 4, 2003 were not used in the analysis of phenology due to the capture of 4000 individuals on one day (750 traps set!), these data tended to have too great an impact on the resulting graphs </li></ul><ul><li>With perhaps a few exceptions (none come to mind) all bees collected were entered in the database </li></ul>
  6. 6. Some General Site Information <ul><li>Data came from 3121 site records, and approximately 57,000 captured individuals </li></ul><ul><li>Most of the time a site record would be a unique collecting event at a unique location, however, sometimes data were split into several experimental subunits at a site and each subunit given a separate site record </li></ul>
  7. 7. Number of Records By State
  8. 8. Geographic Locations of Sampling Sites
  9. 9. Record Locations <ul><li>Records were weighted toward sampling locations around Washington D.C., Delaware, the eastern part of West Virginia (not in early spring, however) and in the remainder of the region it was more scattered, at different times and locations. If we had enough data it would be likely that spring data from the mountains would be shifted a bit later than that coming from the Coastal Plain </li></ul>
  10. 10. Potentially of Interest to Someone: Numbers of Individuals By County <ul><li>Count state county </li></ul><ul><li>129 Delaware </li></ul><ul><li>6895 Delaware Kent </li></ul><ul><li>1430 Delaware New Castle </li></ul><ul><li>6620 Delaware Sussex </li></ul><ul><li>3728 District of Columbia </li></ul><ul><li>748 Maryland </li></ul><ul><li>5889 Maryland Anne Arundel </li></ul><ul><li>87 Maryland Baltimore </li></ul><ul><li>6198 Maryland Calvert </li></ul><ul><li>825 Maryland Caroline </li></ul><ul><li>19 Maryland Carroll </li></ul><ul><li>53 Maryland Cecil </li></ul><ul><li>935 Maryland Charles </li></ul><ul><li>208 Maryland Dorchester </li></ul><ul><li>25 Maryland Frederick </li></ul><ul><li>688 Maryland Garrett </li></ul><ul><li>19 Maryland Harford </li></ul><ul><li>573 Maryland Howard </li></ul><ul><li>40 Maryland Kent </li></ul><ul><li>447 Maryland Montgomery </li></ul><ul><li>53 Maryland P.G and A.A. </li></ul><ul><li>1804 Maryland Prince Georges </li></ul><ul><li>20251 Maryland Prince George's </li></ul><ul><li>40 Maryland Prince George's County </li></ul><ul><li>2889 Maryland Queen Anne's </li></ul><ul><li>158 Maryland Queen's Town </li></ul><ul><li>180 Maryland Somerset </li></ul><ul><li>11 Maryland Somerset and Worchester Counties </li></ul><ul><li>78 Maryland Sussex </li></ul><ul><li>2053 Maryland Talbot </li></ul><ul><li>1 Maryland Washington </li></ul><ul><li>217 Maryland Wicomico </li></ul><ul><li>365 Maryland Worcester </li></ul><ul><li>9 Maryland Worchester </li></ul><ul><li>678 Pennsylvania </li></ul><ul><li>74 Pennsylvania Berks </li></ul><ul><li>7 Pennsylvania Cambria </li></ul><ul><li>14 Pennsylvania Clearfield </li></ul><ul><li>169 Pennsylvania Delaware </li></ul><ul><li>19 Pennsylvania Lancaster </li></ul><ul><li>8 Pennsylvania McKean </li></ul><ul><li>94 Pennsylvania Philadelphia </li></ul><ul><li>185 Pennsylvania Pike </li></ul><ul><li>773 Virginia </li></ul><ul><li>1725 Virginia Accomack </li></ul><ul><li>2697 Virginia Albemarle </li></ul><ul><li>5 Virginia Essex </li></ul><ul><li>3350 Virginia Fairfax </li></ul><ul><li>73 Virginia Fluvanna </li></ul><ul><li>81 Virginia Frederick </li></ul><ul><li>110 Virginia Greene </li></ul><ul><li>3 Virginia Isle of Wight </li></ul><ul><li>40 Virginia King George </li></ul><ul><li>142 Virginia Madison </li></ul><ul><li>3 Virginia Prince William </li></ul><ul><li>1 Virginia Richmond </li></ul><ul><li>14 Virginia Shenandoah </li></ul><ul><li>41 Virginia Suffolk City </li></ul><ul><li>5 Virginia Virginia Beach City </li></ul><ul><li>336 West Virginia </li></ul><ul><li>12 West Virginia Barbour </li></ul><ul><li>947 West Virginia Berkeley </li></ul><ul><li>22 West Virginia Cabell </li></ul><ul><li>20 West Virginia Doddridge </li></ul><ul><li>134 West Virginia Grant </li></ul><ul><li>7347 West Virginia Hampshire </li></ul><ul><li>4092 West Virginia Hardy </li></ul><ul><li>11 West Virginia Harrison </li></ul><ul><li>215 West Virginia Jefferson </li></ul><ul><li>32 West Virginia Lincoln </li></ul><ul><li>2 West Virginia Mason </li></ul><ul><li>52 West Virginia Mineral </li></ul><ul><li>157 West Virginia Pendleton </li></ul><ul><li>43 West Virginia Pleasants </li></ul><ul><li>72 West Virginia Pocahontas </li></ul><ul><li>6 West Virginia Preston </li></ul><ul><li>21 West Virginia Raleigh </li></ul><ul><li>125 West Virginia Randolph </li></ul><ul><li>230 West Virginia Ritchie </li></ul><ul><li>76 West Virginia Tucker </li></ul><ul><li>16 West Virginia Tyler </li></ul><ul><li>1 West Virginia Wayne </li></ul>
  11. 11. General Format for All Phenology Charts <ul><li>The Week Number (1-52) of the year is on the X-Axis </li></ul><ul><li>The height of the bars along the Y-Axis indicates the number of individuals captured for each week </li></ul><ul><li>Ignore the categories “blank” and “value” it took too much time to get rid of them so I left them in </li></ul><ul><li>Note that in order to “trick” Excel into consistently displaying all the weeks of the year I used and Excel macro to add a single individual count to each week every time I made a chart, thus the real number of individuals for any week is whatever is displayed minus 1. OK, this is not the slickest way to make the graphs, but it was the fastest way I could think of at the time, if you like we can send you the data and you can make better ones! </li></ul>
  12. 12. A Couple of Excel Notes <ul><li>Data from this presentation were dumped from an Access program into Excel. </li></ul><ul><li>The date field was converted to a week field using the WEEKNUM function of Excel </li></ul><ul><li>Graphs were produced using the PIVOTCHART feature of Excel </li></ul>
  13. 13. The Week Number at the Start of Each Month – So You Can Handily Keep Track of Where You Are in the Year
  14. 14. Presentation Order <ul><li>The results by genera are presented first and then for the more common species </li></ul><ul><li>Unless otherwise noted the males and the females are presented together. The phenology of males and females is almost always at least slightly different; time, however, did not permit presenting the differences by sex in this presentation, but others are welcome to do so and we can send you the data </li></ul>
  15. 15. A Graph of All Individuals Captured
  16. 16. Osmia
  17. 17. Triepeolus
  18. 18. Svastra
  19. 19. Sphecodes
  20. 20. Pseudopanurgus
  21. 21. Perdita
  22. 22. Panurginus
  23. 23. Nomada
  24. 24. Melissodes
  25. 25. Megachile
  26. 26. Lasioglossum
  27. 27. Lasioglossum females
  28. 28. Hylaeus
  29. 29. Hoplitis
  30. 30. Heriades
  31. 31. Halictus
  32. 32. Eucera
  33. 33. Epeolus
  34. 34. Colletes
  35. 35. Coelioxys
  36. 36. Ceratina
  37. 37. Bombus
  38. 38. Andrena
  39. 39. Agapostemon
  40. 40. Agapostemon sericeus
  41. 41. Agapostemon splendens
  42. 42. Agapostemon texanus
  43. 43. Agapostemon virescens
  44. 44. Andrena asteroides
  45. 45. Andrena banksi
  46. 46. Andrena barbara
  47. 47. Andrena bradleyi
  48. 48. Andrena carlini
  49. 49. Andrena fenningeri
  50. 50. Andrena cressonii
  51. 51. Andrena erigeniae
  52. 52. Andrena imitatrix
  53. 53. Andrena miserabilis
  54. 54. Andrena nasonii
  55. 55. Andrena nigrae
  56. 56. Andrena perplexa
  57. 57. Andrena personata
  58. 58. Andrena pruni
  59. 59. Andrena tridens
  60. 60. Andrena vicina
  61. 61. Andrena violae
  62. 62. Andrena ziziaeformis
  63. 63. Anthidiellum notatum
  64. 64. Anthidium oblongatum
  65. 65. Anthophora abrupta
  66. 66. Anthophora plumipes
  67. 67. Augochlora pura
  68. 68. Augochlorella aurata
  69. 69. Augochlorella metallica
  70. 70. Bombus bimaculatus
  71. 71. Bombus citrinus
  72. 72. Bombus fervidus
  73. 73. Bombus griseocolis
  74. 74. Bombus impatiens
  75. 75. Bombus pensylvanicus
  76. 76. Bombus perplexus
  77. 77. Bombus vagans
  78. 78. Calliopsis andreniformis
  79. 79. Ceratina calcarata
  80. 80. Ceratina dupla
  81. 81. Ceratina strenua
  82. 82. Coelioxys sayi
  83. 83. Colletes americanus
  84. 84. Colletes inaequalis
  85. 85. Colletes thoracicus
  86. 86. Dieunomia heteropoda
  87. 87. Eucera dubitata
  88. 88. Eucera hamata
  89. 89. Habropoda laboriosa
  90. 90. Halictus confusus
  91. 91. Halictus rubicundus
  92. 92. Hoplitis pilosifrons
  93. 93. Hoplitis producta
  94. 94. Hoplitis simplex
  95. 95. Hoplitis spoliata
  96. 96. Hylaeus mesillae
  97. 97. Hylaeus ornatus
  98. 98. Lasioglossum males – Note that very few males of the Dialictus groups were identified to species and thus do not appear in the Lasioglossum species graphs
  99. 99. Lasioglossum bruneri
  100. 100. Lasioglossum cattellae
  101. 101. Lasioglossum coeruleum
  102. 102. Lasioglossum coreopsis
  103. 103. Lasioglossum cressonii
  104. 104. Lasioglossum fuscipenne
  105. 105. Lasioglossum illinoense
  106. 106. Lasioglossum imitatum
  107. 107. Lasioglossum leucozonium
  108. 108. Lasioglossum macoupinense
  109. 109. Lasioglossum nelumbonis
  110. 110. Lasioglossum nymphaearum
  111. 111. Lasioglossum pectorale
  112. 112. Lasioglossum pilosum
  113. 113. Lasioglossum platyparium
  114. 114. Lasioglossum quebecensce
  115. 115. Lasioglossum tegulare
  116. 116. Lasioglossum vierecki
  117. 117. Lasioglossum zephyrum
  118. 118. Megachile brevis
  119. 119. Megachile campanulae
  120. 120. Megachile exilis
  121. 121. Megachile mendica
  122. 122. Megachile rotundata
  123. 123. Megachile sculpturalis
  124. 124. Melissodes bimaculata
  125. 125. Melissodes comptoides
  126. 126. Melissodes denticulata
  127. 127. Melissodes dentiventris
  128. 128. Melissodes desponsa
  129. 129. Melissodes druriella
  130. 130. Melissodes trinodis
  131. 131. Melitoma taurea
  132. 132. Osmia atriventris
  133. 133. Osmia bucephala
  134. 134. Osmia collinsiae
  135. 135. Osmia conjuncta
  136. 136. Osmia cornifrons
  137. 137. Osmia georgica
  138. 138. Osmia lignaria
  139. 139. Osmia pumila
  140. 140. Osmia taurus
  141. 141. Panurginus atramontensis
  142. 142. Panurginus potentillae
  143. 143. Peponapis pruinosa
  144. 144. Ptilothrix bombiformis
  145. 145. Xylocopa virginica