Proposed Amendments to Chapter 15, Article X: Wetland Conservation Areas
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The 10-20-30 Rule Revisted: Is it still a Useful Measure of Diversity?
1. The 10-20-30 Rule Revisited:
Is It a Useful Standard for Urban Forest
Diversity?
Mark J. Ambrose
NC State University
mambrose@fs.fed.us
Partners in Community Forestry,
Indianapolis, IN, November 16-17, 2016
2. The โ10-20-30 Ruleโ
โข Plant no more than 10% of any one species, no more
than 20% of any one genus, no more than 30% of any
one family
โข Dr. Frank Santamour, Research Geneticist at the US
National Arboretum (1990)
โข Proceedings Paper
โข โRule of thumbโ
โข Risk mitigation
โข No supporting data
Partners in Community Forestry,
Indianapolis, IN, November 16-17, 2016
3. Recent calls for a higher standard
โข โ5-10-20 ruleโ โ standard adopted by Portland, OR
(2015, 2016) and other cities
โข No more than 5% of any one genus (Ball 2015, 2016)
(http://www.urbanforestrytoday.org/videos.html)
โข But are any of these โrulesโ attainable?
Partners in Community Forestry,
Indianapolis, IN, November 16-17, 2016
4. Motivation for this Analysis
Partners in Community Forestry,
Indianapolis, IN, November 16-17, 2016
Generally, in urban forestry management, it is recommended that no single
species should account for more than 10% of the total population. Furthermore,
no single genus (a genus is a group of closely related species) should account for
more than 15% of the total population. Table 1 shows that Norway maple and
callery pear comprise approximately 22% and 16%, respectively, of the
inventoried street tree population, and combined with Park/Public Space trees,
they amount to approximately 30% and 23%, respectively, of the entire tree
population. Figure 1 shows that the genus Acer (maple) accounts for
approximately 33% of the Cityโs total inventoried tree population.
5. Motivation for this Analysis
Partners in Community Forestry,
Indianapolis, IN, November 16-17, 2016
(Raupp et al. 2016)
6. Metrics, Populations, and Scale
โข Street trees, park trees, public trees, or total urban forest
โข Neighborhood, city, or region
โข Number of stems vs. basal area
Partners in Community Forestry,
Indianapolis, IN, November 16-17, 2016
7. Stem Count vs. Basal Area
โข Santamour presented his โruleโ in terms of number of
stems (i.e., tree count)
โข Tree count is useful for planting goals
โข Most evaluations of urban forests against the 10-20-30
have used tree count
โข But:
โ Environmental services
โ Tree value (e.g., effect on real estate values)
โ Tree removal & replacement costs
. . . . all depend on tree SIZE.
Partners in Community Forestry,
Indianapolis, IN, November 16-17, 2016
8. Stem Count vs. Basal Area (contโd)
โข So, maximum Basal Area in any one species, genus, of
family may be a better measure of risk due to lack of
diversity
โข Reformulated 10-20-30 Rule:
No more than 10% of basal area in any one species,
no more than 20% of basal area in any one genus, and
no more than 30% of basal area in any one family.
โข One problem with using basal area: legacy effects
Partners in Community Forestry,
Indianapolis, IN, November 16-17, 2016
9. Data & Methods
โข Collected inventory data from approx. 1300 inventories
covering over 1000 North American cities
โข Street tree, Park tree, Public tree, Campus tree, & i-Tree
Eco sample inventories
โข Complete inventory, statistical sample, or partial
inventory covering a โlargeโ and/or clearly defined
portion of a municipality
โข Most trees must be identified to species
โข Almost all trees must have DBH recorded
โข Inventories completed from 2000 to the present.
Partners in Community Forestry,
Indianapolis, IN, November 16-17, 2016
12. Methods (contโd)
โข Calculated relative basal area and relative abundance
for each species, genus, and family.
โข Tested the most dominant/abundant species, genus, &
family in each inventory against the 10-20-30 rule.
โข For comparison, ran the same tests using Forest
Inventory and Analysis data by ecoregion.
Partners in Community Forestry,
Indianapolis, IN, November 16-17, 2016
13. Results: Abundance, all inventories
Partners in Community Forestry,
Indianapolis, IN, November 16-17, 2016
14. Results: Basal area, all inventories
Partners in Community Forestry,
Indianapolis, IN, November 16-17, 2016
15. Partners in Community Forestry,
Indianapolis, IN, November 16-17, 2016
Results: Species Level Failures
Species
Failures
by
Species
Total
Species
Level
Failures
Percent
of
failures Species
Failures
by
Species
Total
Species
Level
Failures
Percent
of
failures
Norway Maple 204 1149 17.75 Silver Maple 245 1234 19.85
Green Ash 176 1149 15.32 Green Ash 130 1234 10.53
Silver Maple 125 1149 10.88 Norway Maple 128 1234 10.37
Sugar Maple 86 1149 7.48 Sugar Maple 110 1234 8.91
Red Maple 51 1149 4.44 Pin Oak 54 1234 4.38
Crape Myrtle 39 1149 3.39 Siberian Elm 54 1234 4.38
Siberian Elm 33 1149 2.87 London Plane 35 1234 2.84
Hackberry 28 1149 2.44 Southern Live Oak 27 1234 2.19
Crabapple/Apple 22 1149 1.91 Hackberry 25 1234 2.03
Southern Live Oak 20 1149 1.74 American Elm 22 1234 1.78
Blue Spruce 19 1149 1.65 Eastern Cottonwood 18 1234 1.46
Honey Locust 17 1149 1.48 Douglas-fir 18 1234 1.46
Callery Pear 17 1149 1.48 Red Maple 17 1234 1.38
Pin Oak 17 1149 1.48 Northern Red Oak 16 1234 1.30
London Plane 16 1149 1.39 Loblolly Pine 15 1234 1.22
------------ Abundance ------------ ------------ Basal Area ------------
21. Partners in Community Forestry,
Indianapolis, IN, November 16-17, 2016
Results by Inventory Type
(count) (%) (count) (%) (count) (%) (count) (%)
Whole City 102 77 75.49 65 63.73 30 29.41 92 90.20
College Campus 45 31 68.89 20 44.44 9 20.00 34 75.56
Facilities Trees 1 1 100.00 0 0.00 0 0.00 1 100.00
Golf Course 1 1 100.00 1 100.00 0 0.00 1 100.00
Park Trees 53 40 75.47 32 60.38 17 32.08 43 81.13
Public Trees 432 381 88.19 318 73.61 212 49.07 402 93.06
Street Trees 662 618 93.35 581 87.76 440 66.47 643 97.13
(count) (%) (count) (%) (count) (%) (count) (%)
Whole City 103 84 81.55 88 85.44 53 51.46 101 98.06
College Campus 45 44 97.78 40 88.89 31 68.89 45 100.00
Facilities Trees 1 1 100.00 0 0.00 0 0.00 1 100.00
Golf Course 1 1 100.00 1 100.00 1 100.00 1 100.00
Park Trees 53 51 96.23 45 84.91 33 62.26 53 100.00
Public Trees 433 408 94.23 388 89.61 298 68.82 425 98.15
Street Trees 668 645 96.56 640 95.81 559 83.68 660 98.80
---------------------------------------- Abundance ------------------------------------
Inventory Type
# of
inventories
Species failures Genus failures Family failures Overall failures
---------------------------------------- Basal Area --------------------------------------
# of
inventories
Species failures Genus failures Family failures Overall failures
Inventory Type
22. Results: Genus relative basal area
Partners in Community Forestry,
Indianapolis, IN, November 16-17, 2016
Relative basal area
of most dominant genus
23. Results: FIA data (species)
Partners in Community Forestry,
Indianapolis, IN, November 16-17, 2016
24. Results: FIA data (genus)
Partners in Community Forestry,
Indianapolis, IN, November 16-17, 2016
25. Results: FIA data (family)
Partners in Community Forestry,
Indianapolis, IN, November 16-17, 2016
26. Results: FIA data (overall)
Partners in Community Forestry,
Indianapolis, IN, November 16-17, 2016
27. Results: FIA data (species)
Partners in Community Forestry,
Indianapolis, IN, November 16-17, 2016
28. Results: FIA data (genus)
Partners in Community Forestry,
Indianapolis, IN, November 16-17, 2016
29. Conclusions
โข Most cities fail the โ10-20-30 Ruleโ standard regardless
of region or inventory type
โข Many cities donโt even come close to meeting the
standard
โข Most natural forests in the US also fail
โข Maple, ash, and/or oak exceed the โruleโ in most cities
โข Most cities fail both in terms of abundance and basal
area
โข No city would meet a โ5-10-20 ruleโ or a 5% genus rule
Partners in Community Forestry,
Indianapolis, IN, November 16-17, 2016
30. Concluding thoughts
โข Relative basal area is superior to relative abundance in
evaluating risk due to lack of diversity
โข Family (30%) portion of the โ10-20-30 Ruleโ contributes
little
โข Focusing on genus-level diversity makes sense
Partners in Community Forestry,
Indianapolis, IN, November 16-17, 2016
31. Concluding thoughts
โข Competing goals for urban forest:
โ Diversity within cities
โ Species that are well suited to the urban environment
and the climate region
โ Diversity among cities (ฮณ diversity)
โ Native species (or not?)
โ Water use considerations
โข Constraints on diversifying urban forests:
โ Species availability in nursery trade
โ Species that have been proven successful
Partners in Community Forestry,
Indianapolis, IN, November 16-17, 2016
32. Acknowledgements:
โ John Campanini, Rhode Island Tree Council
โ Fred Cowett, Dept. of Horticulture, Cornell University
โ Eric Berg, Nebraska forest Service
โ Kim Bomberger, Kansas Forest Service
โ Jason Grabosky, Rutgers University
โ Emma Bruemmer Hannigan, Iowa Dept. of Natural Resources (DNR)
โ Meaghan Eastwood, Toronto & Region Conservation Authority
โ Ian Hanou, Plan-It Geo
โ David Howlett, Nevada Division of Forestry
โ Jamie Kirby, Montana DNR & C
โ Frank Koch, USFS-SRS, Eastern Forest Threat Assessment Center
โ Eric Kuehler, USFS, Athens, GA
โ Nick Kuhn, Missouri Dept. of Conservation
โ Linden Lampman, Washington DNR
โ Andy Lister, USFS-NRS, Forest Inventory & Analysis
โ Pam Louks, Indiana DNR
โ Kamie Long, Colorado State Forest Service
โ Scott Maco, Davey Trees
โ Kim Miller, Wisconsin DNR
โ Eric North, U of Minnesota, Dept. of Forest Resources
โ Dave Nowak, USFS-NRS, Urban & Community Forestry
โ Micah Pace, Texas A & M Forest Service
โ Meridith Perkins, Utah Div. of Forestry, Fire, and State Lands
โ Alix Rogstad, Arizona State Forestry
โ Kevin Sayers, Michigan DNR
โ John Sugg, Treefull Communities, LLC
โ Aaron Wang, South Dakota Dept. of Agriculture, Resource Conservation & Forestry
โ P. Eric Wiseman, Virginia Tech
โ Brian Wolyniak, Penn State Extension
โ Many, many others from across the US and Canada who supplied data!!
33. Partners in Community Forestry,
Indianapolis, IN, November 16-17, 2016
Thank You!
Questions/Comments?
Mark J. Ambrose
North Carolina State University
Dept. of Forestry & Environmental Resources
Office: (919) 549-4078
FAX: (919) 549-4047
mambrose@fs.fed.us
Editor's Notes
Commend Ballโs webinar
Sample text from urban forest inventory report โ same thing in every report, seemed to be recommending the same alternative species.
Note that canopy cover might be a better metric, but hard to get data. Most tree inventories have DBH recorded, so BA is easy to calculate for many inventories.
Also note that if City PASSES in terms of abundance but not BA, maybe planting diverse species, but many not growing well.
Assumed missing DBH = recently planted/too small to measure.
Sample data table.
Opportunistic approach to data acquisition.
18 out of 1304 inventories passed; Harrisonburg and Lynchburg, VA; 1 passed in Ohio, and 1 passed in Minnesota that are not showing up.
Top 15 species. Note โ if failed because more than 1 species > 10%, only most abundant was tallied.
Only families on the list that have LOTS of genera that occur in Urban Forests are Arecaceae and Fabaceae
Regions are arbitrary; simply grouped state/provinces where there were less than a dozen or so inventories.
Note: Minnesota species failure rate is an artifact of the data โ about 20 of the inventories only Idโd trees to GENUS, so they got an automatic PASS on that test.
CA, AZ, NM โ can grow anything, JUST ADD WATER.
Regions are arbitrary; simply grouped state/provinces where there were less than a dozen or so inventories.
Note: Minnesota species failure rate is an artifact of the data โ about 20 of the inventories only Idโd trees to GENUS, so they got an automatic PASS on that test
Can we meet these competing goals, given our constraints?
Where do we squeeze the balloon?