Metric | Man Kendall Statistic | Normalized Test Statistic | p Value | Trend | Sens Slope |
---|---|---|---|---|---|
area | -0.1212 | -0.9761 | 0.3290 | no trend | -0.0020 |
cai | 0.0720 | 0.5733 | 0.5664 | no trend | 0.0027 |
circle | 0.0720 | 0.5733 | 0.5664 | no trend | 0.0027 |
contig | 0.0720 | 0.5733 | 0.5664 | no trend | 0.0027 |
core | -0.0720 | -0.5733 | 0.5664 | no trend | -0.0001 |
enn | 0.4432 | 3.6102 | 0.0003 | increasing | 2.5198 |
frac | -0.3258 | -2.6495 | 0.0081 | decreasing | -0.0004 |
gyrate | -0.1439 | -1.1621 | 0.2452 | no trend | -0.0644 |
ncore | -0.1212 | -0.9761 | 0.3290 | no trend | -0.0006 |
para | -0.3030 | -2.4636 | 0.0138 | decreasing | -0.0001 |
perim | -0.1705 | -1.3790 | 0.1679 | no trend | -1.6070 |
shape | -0.2917 | -2.3706 | 0.0178 | decreasing | -0.0033 |
mean_mag | 0.3144 | 2.5566 | 0.0106 | increasing | 0.8322 |
percent_area_dist | -0.3295 | -2.6805 | 0.0074 | decreasing | -0.0083 |
Historical Disturbance Trends: Round 3 Results
What’s Changed Since Last Time?
In order to assess what is going on in 2021, we have added a year to the study period. These results now cover from 1990 - 2022. The high values seen in all metrics for 2021 do not appear to be the result of it being at the end of the previous time period as we do not see similarly high values for 2022. Additionally, for each metric that showed a trend with MK tests now also has results from an ANOVA test.
Included in this post:
Results for the entire ADK FP 1990 - 2022
Results for Age Group Divisions
Age Group ANOVA
Forest Preserve Wide Man Kendall Test Results for Patch Metrics
Metric Plots
All patch metrics derived from the landscape metrics package in r. Descriptions of the patch metrics can be found here.
Man Kendall Test Results Split by Age Group
Forest preserve properties purchased prior to 1990 were split into 4 groups based on the time since acquisition by the state of New York. Included in this analysis are Forest Preserve parcels with known dates of acquisition and parcels documented on state land survey maps from the APA for 1893 and 1919. Additionally, only parcels acquired before 1990 were used so that there were no parcels acquired mid analysis. In total, 1364 parcels representing 697,818 ha of forest preserve land were included. Age groups were created by assigning roughly equal areas of forest preserve to each bin (~174,000 ha per group).
Group 1: Aquistion prior to 1893
Metric | Man Kendall Statistic | Normalized Test Statistic | p Value | Trend | Sens Slope |
---|---|---|---|---|---|
area | -80 | -1.2241 | 0.2209 | no trend | -0.0029 |
cai | 46 | 0.6972 | 0.4856 | no trend | 0.0044 |
circle | 46 | 0.6972 | 0.4856 | no trend | 0.0044 |
contig | 46 | 0.6972 | 0.4856 | no trend | 0.0044 |
core | -54 | -0.8212 | 0.4115 | no trend | -0.0002 |
enn | 254 | 3.9201 | 0.0001 | increasing | 3.0322 |
frac | -174 | -2.6805 | 0.0074 | decreasing | -0.0004 |
gyrate | -84 | -1.2860 | 0.1984 | no trend | -0.0924 |
ncore | -60 | -0.9142 | 0.3606 | no trend | -0.0007 |
para | -172 | -2.6495 | 0.0081 | decreasing | -0.0001 |
perim | -112 | -1.7199 | 0.0855 | no trend | -2.7480 |
shape | -154 | -2.3706 | 0.0178 | decreasing | -0.0034 |
mean_mag | 160 | 2.4636 | 0.0138 | increasing | 0.8560 |
percent_area_dist | -218 | -3.3623 | 0.0008 | decreasing | -0.0104 |
Group 2: Acquisition between 1894 and 1918
Metric | Man Kendall Statistic | Normalized Test Statistic | p Value | Trend | Sens Slope |
---|---|---|---|---|---|
area | -50 | -0.7592 | 0.4477 | no trend | -0.0015 |
cai | 54 | 0.8212 | 0.4115 | no trend | 0.0054 |
circle | 54 | 0.8212 | 0.4115 | no trend | 0.0054 |
contig | 54 | 0.8212 | 0.4115 | no trend | 0.0054 |
core | -2 | -0.0155 | 0.9876 | no trend | 0.0000 |
enn | 212 | 3.2693 | 0.0011 | increasing | 2.6804 |
frac | -138 | -2.1227 | 0.0338 | decreasing | -0.0004 |
gyrate | -80 | -1.2241 | 0.2209 | no trend | -0.0675 |
ncore | -4 | -0.0465 | 0.9629 | no trend | 0.0000 |
para | -96 | -1.4720 | 0.1410 | no trend | -0.0001 |
perim | -94 | -1.4410 | 0.1496 | no trend | -1.7930 |
shape | -106 | -1.6269 | 0.1038 | no trend | -0.0029 |
mean_mag | 156 | 2.4016 | 0.0163 | increasing | 0.8717 |
percent_area_dist | -170 | -2.6186 | 0.0088 | decreasing | -0.0068 |
Group 3: Acquisition between 1919 and 1956
Metric | Man Kendall Statistic | Normalized Test Statistic | p Value | Trend | Sens Slope |
---|---|---|---|---|---|
area | -62 | -0.9452 | 0.3446 | no trend | -0.0019 |
cai | 0 | 0.0000 | 1.0000 | no trend | 0.0000 |
circle | 0 | 0.0000 | 1.0000 | no trend | 0.0000 |
contig | 0 | 0.0000 | 1.0000 | no trend | 0.0000 |
core | -4 | -0.0465 | 0.9629 | no trend | 0.0000 |
enn | 218 | 3.3623 | 0.0008 | increasing | 2.5758 |
frac | -158 | -2.4326 | 0.0150 | decreasing | -0.0003 |
gyrate | -56 | -0.8522 | 0.3941 | no trend | -0.0530 |
ncore | -42 | -0.6353 | 0.5253 | no trend | -0.0006 |
para | -88 | -1.3480 | 0.1777 | no trend | -0.0001 |
perim | -92 | -1.4100 | 0.1585 | no trend | -1.7083 |
shape | -154 | -2.3706 | 0.0178 | decreasing | -0.0024 |
mean_mag | 124 | 1.9058 | 0.0567 | no trend | 0.7234 |
percent_area_dist | -154 | -2.3706 | 0.0178 | decreasing | -0.0066 |
Group 4: Acquisition between 1957 and 1989
Metric | Man Kendall Statistic | Normalized Test Statistic | p Value | Trend | Sens Slope |
---|---|---|---|---|---|
area | -38 | -0.5733 | 0.5664 | no trend | -0.0010 |
cai | 92 | 1.4100 | 0.1585 | no trend | 0.0099 |
circle | 92 | 1.4100 | 0.1585 | no trend | 0.0099 |
contig | 92 | 1.4100 | 0.1585 | no trend | 0.0099 |
core | -6 | -0.0775 | 0.9382 | no trend | 0.0000 |
enn | 236 | 3.6412 | 0.0003 | increasing | 2.4103 |
frac | -120 | -1.8438 | 0.0652 | no trend | -0.0003 |
gyrate | -56 | -0.8522 | 0.3941 | no trend | -0.0384 |
ncore | 16 | 0.2324 | 0.8162 | no trend | 0.0004 |
para | -140 | -2.1537 | 0.0313 | decreasing | -0.0001 |
perim | -74 | -1.1311 | 0.2580 | no trend | -1.2197 |
shape | -116 | -1.7819 | 0.0748 | no trend | -0.0021 |
mean_mag | 180 | 2.7735 | 0.0055 | increasing | 0.8864 |
percent_area_dist | -168 | -2.5876 | 0.0097 | decreasing | -0.0061 |
Metric Plots
Age Group ANOVA
ENN
Analysis of Variance Table
Response: enn
Df Sum Sq Mean Sq F value Pr(>F)
bin 3 659339 219780 13.036 1.651e-08 ***
Residuals 116212 1959205350 16859
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = enn ~ bin, data = grouped_patches)
$bin
diff lwr upr p adj
2-1 -0.05050715 -2.798371 2.697357 0.9999622
3-1 0.71483404 -1.777375 3.207043 0.8822446
4-1 6.53703195 3.676821 9.397243 0.0000000
3-2 0.76534119 -2.210126 3.740808 0.9117630
4-2 6.58753910 3.297690 9.877388 0.0000016
4-3 5.82219791 2.742676 8.901720 0.0000071
For the ENN metric, these tests suggest that group 4 (1957 - 1989) is significantly different from all other groups, but the other groups are not significantly different from each other.
Fractal Dimension Index
Analysis of Variance Table
Response: frac
Df Sum Sq Mean Sq F value Pr(>F)
bin 3 0.01 0.0036370 1.2845 0.2777
Residuals 116212 329.04 0.0028314
Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = frac ~ bin, data = grouped_patches)
$bin
diff lwr upr p adj
2-1 0.0001128933 -0.0010132156 0.0012390023 0.9940145
3-1 0.0002278391 -0.0007934992 0.0012491774 0.9401303
4-1 -0.0006898416 -0.0018619917 0.0004823085 0.4302421
3-2 0.0001149458 -0.0011044377 0.0013343292 0.9950095
4-2 -0.0008027349 -0.0021509559 0.0005454861 0.4196602
4-3 -0.0009176807 -0.0021797070 0.0003443457 0.2418770
For the Fractal Dimension Index, these tests suggest that there is no difference between the four age groups.
Perimeter to Area ratio
Analysis of Variance Table
Response: para
Df Sum Sq Mean Sq F value Pr(>F)
bin 3 0.016 0.0054958 15.854 2.65e-10 ***
Residuals 116212 40.284 0.0003466
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = para ~ bin, data = grouped_patches)
$bin
diff lwr upr p adj
2-1 -0.0005666264 -9.606495e-04 -1.726033e-04 0.0012609
3-1 -0.0009402585 -1.297623e-03 -5.828944e-04 0.0000000
4-1 -0.0004350295 -8.451623e-04 -2.489669e-05 0.0326008
3-2 -0.0003736321 -8.002917e-04 5.302758e-05 0.1100960
4-2 0.0001315970 -3.401427e-04 6.033366e-04 0.8905214
4-3 0.0005052290 6.364872e-05 9.468093e-04 0.0173283
For the Perimeter to Area ratio metric, these tests suggest that group 3 (1919 - 1956) is significantly different from all other groups, but the other groups are not significantly different from each other.
Shape
Analysis of Variance Table
Response: shape
Df Sum Sq Mean Sq F value Pr(>F)
bin 3 4 1.31650 3.8112 0.009601 **
Residuals 116212 40143 0.34543
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = shape ~ bin, data = grouped_patches)
$bin
diff lwr upr p adj
2-1 0.005749251 -0.006689051 0.018187554 0.6347910
3-1 0.014630164 0.003349094 0.025911234 0.0047871
4-1 0.003106984 -0.009839860 0.016053828 0.9268550
3-2 0.008880913 -0.004587642 0.022349467 0.3268006
4-2 -0.002642267 -0.017533882 0.012249347 0.9685108
4-3 -0.011523180 -0.025462741 0.002416381 0.1455298
For the Shape metric, these tests suggest that groups 1 (pre 1893) and 3 (1919 - 1956) are significantly different from each other, but not significantly different from the other groups.
Mean Magnitude
Analysis of Variance Table
Response: mean_mag
Df Sum Sq Mean Sq F value Pr(>F)
bin 3 888340 296113 131.97 < 2.2e-16 ***
Residuals 116212 260763322 2244
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = mean_mag ~ bin, data = grouped_patches)
$bin
diff lwr upr p adj
2-1 2.078648 1.0761612 3.081134 0.0000006
3-1 3.513163 2.6039452 4.422380 0.0000000
4-1 7.926428 6.8829549 8.969902 0.0000000
3-2 1.434515 0.3489934 2.520036 0.0038312
4-2 5.847781 4.6475651 7.047996 0.0000000
4-3 4.413266 3.2897826 5.536749 0.0000000
For mean patch magnitude, these tests suggest that all groups are significantly different from all other groups.