Trees of Jefferson County
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Transcript of Trees of Jefferson County
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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)
HazelLocu
stMulberr
y
Oak PoplarSap
ling(s
)
Sugar
Tree
White Hick
ory
Woodlands
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)