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Trees of Jefferson County
Research example using project dataVictoria Myers
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Trees – 1730’s
40; 37%
33; 30%
21; 19%
5; 5%
3; 3%
1; 1%1; 1%1; 1%
1; 1%
1; 1%1; 1%
1; 1%
Red Oak White Oak Hickory WalnutLocust Ash Elm Hackberry (White Wood)Oak Poplar Tree Woodlands
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Trees -1750’s
1; 0%
1; 0%
1; 0%
1; 0%
1; 0%
1; 0%
1; 0%2; 1%2; 1%
3; 1%
3; 1%
4; 1%
6; 2%
24; 9%
30; 11%56; 21%
59; 22%
72; 27%
Bush(es) Chestnut Gum Lym Poplar Spanish OakWhite Hickory Dogwood Sycamore Ash Woodlands WalnutSapling(s) Black Oak Locust Hickory White Oak Red Oak
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Trees – 1760’s
86; 31%
67; 24%
60; 22%19; 7%
17; 6%
7; 3%
4; 1%
4; 1%
3; 1%
3; 1%
3; 1%
2; 1%
1; 0%
1; 0%
White Oak Black Oak Hickory Locust Red Oak Walnut ElmSpanish Oak Gum Sugar White Hickory Ash Lym None
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Trees – 1770’s
15; 27%
13; 24%
9; 16%5; 9%
4; 7%
3; 5%
2; 4%
2; 4%
1; 2%
1; 2%
White Oak Hickory Black Oak Locust Spanish OakSapling(s) Ash Red Oak Elm Hawthorne
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Trees – 1790’s
11; 32%
7; 21%
5; 15%4; 12% 3; 9%
2; 6%
1; 3%
1; 3%
White Oak Black Oak Red Oak Hickory Locust Walnut Gum Hazel
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Trees – 1800’s
3; 18%3; 18%
3; 18%
2; 12%1; 6% 1; 6%
1; 6%
1; 6%
1; 6%
1; 6%
Hickory Poplar White Oak Black Oak Ash Dogwood Elm Red Oak Sugar Sycamore
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Trees – 1820’s
3; 21%2; 14%
2; 14%
2; 14%2; 14%
1; 7%
1; 7%
1; 7%
Mulberry Black Oak Hickory Persimmon White Oak Box Elder Poplar Sycamore
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Trees – 1830’s
4; 36%
3; 27%
1; 9%1; 9%
1; 9%
1; 9%
Elm Sycamore Locust Mulberry Tree Walnut
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Trees -1890’s
2; 100%
White Oak
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Trees – Over time
17301750
17701790
18101830
18501870
1890
0
10
20
30
40
50
60
70
80
90
Ash Box Elder
Chestnut
Elm Hackberr
y (W
hite W
ood)
HazelLo
cust
Mulberry
Oak Poplar
Saplin
g(s)
Suga
rTre
eW
hite Hick
ory
Woodlan
ds
Ash Black OakBox Elder Bush(es)Chestnut DogwoodElm GumHackberry (White Wood) HawthorneHazel HickoryLocust LymMulberry NoneOak PersimmonPoplar Red OakSapling(s) Spanish OakSugar SycamoreTree WalnutWhite Hickory White OakWoodlands
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Number of trees over time
1730 1740 1750 1760 1770 1780 1790 1800 1810 1820 1830 1840 1850 1860 1870 1880 1890
109
0
268 27
7
55
0
34
17
0
14 11
0 0 0 0 0 2
Number of TreesNumber of Trees
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Online GIS
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GIS Analysis
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Problems/Issues
• Data is random in nature and limited to property boundaries but most likely the best data available
• Was the surveyor good at tree identification?• Surveyors tend to choose a tree with good
longevity for corners. • Data skewed to the 1750/60’s due to the
number of grants during that time
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Conclusions/Insights
• Area was most likely a mature forest• Non-native species begin to show up near
population centers (cities)