Ecological Archives M085-021-A4

Ecological Archives M085-021-A4

Stephen J. Tulowiecki and Chris P. S. Larsen. 2015. Native American impact on past forest composition inferred from species distribution models, Chautauqua County, New York. Ecological Monographs 85:557–581. http://dx.doi.org/10.1890/14-2259.1

Appendix D. Native American variables (NAVs) selected by each species distribution modeling (SDM) algorithms, and variable importance in boosted regression tree (BRT) models (including NAVs).

Table D1. Native American variables (NAVs) selected by each of the four species distribution model (SDM) algorithms, for each species. An “x” indicates that a given SDM algorithm selected a given NAV for the final model.

Accessibility to a Historic Iroquoian village site

Accessibility to a Late Woodland Iroquoian village site

Accessibility to an Iroquoian trail

Common name

BRT

GAM

GLM

MARS

BRT

GAM

GLM

MARS

BRT

GAM

GLM

MARS

Alder

Ash, black

Ash, white

Basswood

Beech

Birch, yellow

Cherry, black

Chestnut

Cucumber magnolia

Elm

Fir, balsam

Hemlock

Hickory

Ironwood

Maple, red

Maple, sugar

Oak, black

Oak, white

Sycamore

Walnut, black

Walnut, white (butternut)

White pine

Whitewood

Table D2. The relative importance of each predictor variable (including Native American variables [NAVs]), for boosted regression tree (BRT) models of tree species distributions. Predictor variable columns are sorted from highest (left) to lowest (right) mean relative importance, as averaged across all BRT models.

Common name	Accessibility to a Historic village	Mean January temperature	Mean temperature, May through September	Total precipitation, May through September	Slope angle	Accessibility to a Late Woodland village	Accessibility to a trail	Soil pH	AET/PET, July	Soil drainage class	Compound topographic index	Total solar radiation, May through September	Soil percent sand	Soil percent clay
Alder	4.3%	5.8%	-	3.0%	11.7%	10.0%	8.0%	8.8%	4.4%	14.7%	15.2%	8.8%	5.5%	-
Ash, black	3.3%	3.2%	6.2%	3.4%	17.5%	3.9%	6.6%	9.8%	4.1%	24.4%	9.1%	3.5%	5.0%	-
Ash, white	12.3%	9.7%	12.4%	8.3%	7.7%	8.0%	10.5%	4.3%	8.0%	3.3%	5.5%	6.7%	3.2%	-
Basswood	20.7%	-	14.1%	15.9%	22.9%	11.8%	-	-	-	14.6%	-	-	-	-
Beech	14.0%	5.6%	4.9%	6.9%	14.9%	4.4%	6.7%	5.7%	4.8%	13.0%	6.0%	4.0%	5.6%	3.6%
Birch, yellow	17.3%	9.6%	8.8%	8.4%	8.9%	7.3%	8.9%	5.9%	8.3%	5.4%	5.8%	5.4%	-	-
Cherry, black	14.7%	8.6%	10.7%	10.3%	5.3%	8.7%	10.3%	5.3%	6.6%	3.2%	3.7%	6.7%	2.6%	3.3%
Chestnut	24.3%	16.8%	8.4%	4.2%	6.1%	6.6%	5.7%	7.5%	5.0%	-	4.8%	5.8%	-	4.8%
Cucumber magnolia	15.8%	16.9%	15.4%	8.8%	8.1%	8.3%	10.8%	5.7%	10.2%	-	-	-	-	-
Elm	10.3%	5.4%	12.8%	8.4%	5.4%	8.1%	13.7%	6.8%	8.9%	3.5%	6.2%	6.5%	3.9%	-
Fir, balsam	5.6%	3.8%	7.8%	7.6%	11.5%	7.8%	6.4%	10.1%	7.3%	7.3%	3.3%	3.9%	7.7%	9.8%
Hemlock	8.2%	6.4%	9.4%	10.6%	8.7%	10.1%	7.7%	7.5%	5.5%	6.3%	6.8%	5.2%	4.1%	3.6%
Hickory	13.9%	19.0%	5.7%	8.9%	4.9%	11.8%	7.7%	2.3%	7.1%	-	3.7%	5.0%	6.0%	4.1%
Ironwood	19.2%	12.3%	5.6%	20.6%	2.8%	5.7%	17.8%	2.9%	3.5%	-	2.3%	4.4%	2.9%	-
Maple, red	16.5%	3.7%	7.5%	16.5%	13.3%	4.0%	6.5%	9.2%	2.9%	3.9%	3.9%	4.4%	6.0%	1.7%
Maple, sugar	17.2%	8.1%	8.2%	8.3%	16.2%	7.2%	-	7.7%	-	13.1%	-	6.5%	7.4%	-
Oak, black	19.7%	15.7%	7.9%	7.0%	5.4%	7.3%	9.5%	6.3%	5.7%	-	5.8%	6.5%	-	3.2%
Oak, white	28.2%	13.7%	13.9%	5.7%	3.9%	3.7%	8.0%	3.7%	6.4%	-	3.6%	6.8%	1.4%	1.1%
Sycamore	14.7%	11.3%	8.9%	12.3%	6.8%	4.9%	8.2%	6.4%	-	4.1%	11.9%	6.9%	3.6%	-
Walnut, black	8.9%	17.8%	7.0%	4.8%	2.6%	17.5%	6.0%	4.2%	7.9%	2.1%	8.7%	5.7%	-	6.9%
Walnut, white (butternut)	11.2%	11.2%	7.0%	6.9%	5.4%	7.3%	7.9%	5.0%	3.6%	4.6%	13.6%	4.9%	5.6%	5.8%
White pine	13.4%	7.0%	10.0%	6.1%	4.8%	16.9%	7.9%	7.1%	12.0%	3.1%	-	5.8%	2.7%	3.2%
Whitewood	12.3%	23.5%	11.8%	10.0%	3.5%	6.5%	4.7%	3.9%	8.1%	-	5.6%	5.2%	-	4.9%

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