Municipal Forest Program Management in the United States of America: A Systematic Review
Abstract
:1. Introduction
2. Materials and Methods
2.1. Search Strategy
- (1)
- Described community urban forest program needs and barriers, municipal urban forest program components, perceptions of urban forestry by municipal managers, and factors affecting urban forest management. Articles that measured tree canopy cover or urban canopy structure and condition were excluded (e.g., [43,44]).
- (2)
- Covered a geographic area larger than one municipality (i.e., metro-area, state, group of states, or national) and were part of the United States.
- (3)
- Relied upon a survey(s) or interviews with municipal officials, administrators, program employees, or key municipal volunteers. Some studies also linked available data (i.e., U.S. Census data, aerial imagery) with survey or interview data to draw conclusions about management conditions. These studies were included. Surveys of residents or the general public were excluded (e.g., [45]). We also excluded articles that solely covered third-party urban forestry programs (e.g., [46]).
- (4)
- Examined or described how community conditions (i.e., size, relative location, demographics) affected responses and findings.
- (5)
- Sub-national articles had to be published in a peer-reviewed journal. Though technical reports add considerably to the urban forest program management body of knowledge, we decided to include them only at the national level and exclude them at other geographic levels in this review. Some state-level reports are not accessible due to the lack of available digital versions and/or distribution. Additionally, research reported in technical documents is conducted with varying degrees of rigor due to the needs of the agency and demands on the author’s time and thus may not be comparable with peer-reviewed articles.
2.2. Search Results
2.3. Coding Strategy
3. Results
3.1. National-Level
3.2. Regional-Level
3.3. State- and Sub-State Level
3.3.1. State and Sub-State Level Attributes
3.3.2. State and Sub-State Level Components
3.3.3. State and Sub-State Level-Awareness, Knowledge, and Attitudes
3.3.4. State and Sub-State Level-Needs and Barriers
3.3.5. State and Sub-State Level-Future Intentions or Priorities
4. Discussion
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Author(s) and Year Published | Year of Data Collection | Sample Size | Citation |
---|---|---|---|
Ottman and Kielbaso 1976 *# | 1974–75 | n = 991 | [47] |
Beatty and Heckman 1981 | 1977 | n = 72 | [53] |
Giedraitis and Kielbaso 1982 *# | 1980 | n = 1534 | [48] |
Johnson 1982 | unknown | n = 12 | [54] |
Kielbaso et al., 1982 # | 1980 | n = 1534 | [49] |
Kielbaso et al., 1988 *# | 1986 | n = 1062 | [50] |
Kielbaso 1990 # | 1986 | n = 1062 | [51] |
Tschantz and Sacamano 1994 *# | 1993 | n = 419 | [52] |
Clark and Matheny 1998 | unknown | n = 25 | [55] |
Hauer and Peterson 2016 *# | 2014 | n = 667 | [12] |
Region/States | Author(s) and Year Published | Year of Data Collection | Sample Size | Citation |
---|---|---|---|---|
Intermountain West: Arizona, California *, Colorado *, Idaho, Montana *, Nevada, New Mexico *, Oregon *, Utah, Washington *, Wyoming * | Kuhns 1998 | 1997 | n = 21, 11 states | [56] |
Southeast: Alabama, Arkansas, Florida, Georgia, Kentucky, Louisiana, Mississippi, North Carolina, Oklahoma, South Carolina, Tennessee, Texas, Virginia | Lewis and Boulahanis 2008 | unknown | n = 504, 13 states | [57] |
State/Region | Author(s) and Year Published | Year of Data Collection | Sample Size | Citation |
---|---|---|---|---|
Alabama | Zhang and Zheng 2012 | 2003 | n = 797 respondents, 336 cities | [7] |
Florida | Hilbert et al., 2019 | 2014, 2015, 2018 # | n = 43 | [58] |
Illinois | Schroeder et al., 2003 | 1995, 1999 # | n = 636 | [25] |
Massachusetts | Harper et al., 2017 | 2013 | n = 50 | [22] |
Massachusetts | Rines et al., 2011 | 2006 | n = 143 | [61] |
Massachusetts | Rines et al., 2010 | 2006 | n = 143 | [62] |
Michigan | Cool et al., 1973 | 1970 | n = 141 | [63] |
Mississippi | Grado et al., 2013 | 2011 | n = 159 | [37] |
Mississippi | Grado et al., 2006 | 2004 | n = 163 | [36] |
Missouri | Treiman and Gartner 2004 | 2003 | n = 387 | [16] |
New Jersey | Tate 1984 | 1983 | n = 329 | [64] |
Oregon | Ries et al., 2007 | 1992, 2004 | n = 123 | [31] |
Oregon/Washington: Portland/Vancouver Metro Area | Driscoll et al., 2015 | Unknown ~2014 | n = 96 | [8] |
Pennsylvania | Reeder and Gerhold 1993 | 1991 | n = 988 stage 1 survey, n = 161 stage 2 survey | [65] |
Pennsylvania | Stevenson et al., 2008 | 2005 | n = 528 respondents, 356 municipalities | [6] |
Pennsylvania | Still et al., 1996 | Unknown ~1994 | n~101 grant recipients, 51 unfunded, 332 non-applicants | [66] |
Pennsylvania: Northeast region | Elmendorf et al., 2003 | 2000 | n = 188 stage 1 survey, 56 stage 2 survey, 12 focus group | [27] |
Texas | O’Herrin and Shields 2016 | 2012 | n = 79 | [67] |
Utah | Kuhns et al., 2005 | 2002 | n = 138 | [68] |
Wisconsin | Miller and Bate 1978 | Unknown | n~42, 53 | [19] |
Comparator | Number of Studies | Citations |
---|---|---|
Community by population size (or density) | 20 | [6,7,8,16,19,22,25,27,31,36,37,58,61,62,63,64,65,66,67,68] |
Urban forest program budget relative to program or outcomes | 8 | [6,7,16,19,31,63,67,68] |
Relative community location in the state or proximity to metropolitan areas | 5 | [16,22,61,62,66] |
Community affluence | 4 | [7,19,61,62] |
Education level of residents | 3 | [7,61,62] |
Race (% Caucasians) | 1 | [7] |
Poverty level of community | 1 | [7] |
Home Value | 1 | [58] |
Housing Density | 1 | [58] |
Urban Forest Program Component | Number of Studies | Citations |
---|---|---|
Tree related ordinance (at least one) | 16 | [6,7,16,19,25,27,31,58,61,62,63,64,65,66,67,68] |
Tree board/commission | 15 | [6,7,16,22,25,27,31,58,61,62,63,64,65,67,68] |
Municipal staff who care for trees | 14 | [7,16,19,25,27,31,36,58,61,63,64,65,67,68] |
Tree inventory | 14 | [6,7,25,27,31,58,61,62,63,64,65,66,67,68] |
Plant trees | 13 | [7,19,25,27,31,36,37,62,63,64,65,66,68] |
Conduct tree maintenance | 12 | [7,19,22,25,27,31,36,37,62,64,65,68] |
Municipal forester (on staff or contracted) | 11 | [16,19,25,36,37,61,62,63,65,67,68] |
Management plan | 10 | [6,16,27,31,61,62,65,66,67,68] |
Received urban forest grants | 9 | [6,7,16,25,31,61,66,67,68] |
Used volunteers | 7 | [6,7,25,27,31,65,66] |
Conducted public education on urban forest benefits | 6 | [25,27,31,62,66,68] |
Employed or contracted individuals with International Society of Arboriculture (ISA) or Tree Care Industry Association (TCIA) certifications | 6 | [6,25,27,31,58,61] |
Celebrated Arbor Day | 6 | [6,27,31,36,37,68] |
Obtained Tree City USA status | 3 | [6,61,62] |
Had a supporting or partnering non-profit group | 3 | [7,22,67] |
Awareness, Knowledge, or Attitude | Number of Studies | Citations |
---|---|---|
Awareness of state or federal assistance programs (technical, education, or financial) | 9 | [6,7,25,31,36,37,64,66,67] |
Awareness of state urban forestry council | 4 | [7,36,37,64] |
Awareness of Arbor Day Foundation or Tree City USA | 4 | [7,31,36,37] |
Knowledge of urban forestry or the benefits of trees | 7 | [6,7,25,27,31,36,37] |
Understanding of urban forestry | 2 | [36,37] |
Knowledge of perceived tree condition | 3 | [16,25,65] |
Attitude towards urban forestry concepts or management components | 9 | [6,7,16,25,27,31,62,66,68] |
Need or Barrier | Number of Surveys | Citations |
---|---|---|
Training and technical assistance | 11 | [6,7,8,19,22,25,27,31,64,65,68] |
Political support | 7 | [6,8,19,27,36,37,68] |
Sufficient funds | 7 | [6,8,27,36,37,64,68] |
Grant writing or fund development | 6 | [7,25,36,37,65,68] |
Public support | 5 | [6,8,27,36,37,68] |
Lack of municipal staff or limitations on staff | 5 | [6,8,27,36,37,68] |
Canopy condition concerns | 5 | [8,19,25,31,68] |
Urban forestry program creation | 4 | [31,36,37,65] |
Community outreach | 3 | [8,27,68] |
Ordinance development | 3 | [25,65,68] |
Management plan creation | 2 | [8,27] |
Maintenance concerns | 2 | [6,8] |
Future Intention or Priority | Number of Studies | Citations |
---|---|---|
Hire an urban forester or ISA Certified Arborist | 4 | [6,8,36,37] |
Create or revise a management plan | 3 | [6,8,66] |
Develop an ordinance | 3 | [6,8,66] |
Complete an inventory | 3 | [6,8,66] |
Create an urban forestry program | 3 | [31,36,37] |
Gain Tree City USA status | 2 | [6,8] |
Celebrate Arbor Day | 2 | [6,8] |
Establish a tree board | 2 | [6,8] |
Conduct community education | 1 | [8] |
Increase program budget to $2 per capita (Tree City USA standard) | 1 | [6] |
Reach urban tree canopy cover goals | 1 | [8] |
Conduct tree plantings | 1 | [7] |
Increase community recreation | 1 | [8] |
Survey Methodology | Respondent Group | Frequency | Study |
---|---|---|---|
Surveys | Municipal Officials | 7 | [7,31,36,37,66,67,68] |
Municipal Officials and Tree Board Chairs/Members | 1 | [65] | |
Municipal Officials and Program Managers | 3 | [6,8,19] | |
Program Managers | 4 | [16,25,61,62] | |
Municipal Survey, respondents unclear | 2 | [63,64] | |
Subset of National Survey Data | 1 | [58] | |
Interviews | Program Managers | 1 | [22] |
Mixed Methods | Survey of Municipal Managers and Tree Board Members followed by Focus Group with Tree Board Members | 1 | [27] |
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Hargrave, J.R.; Harper, R.W.; Butler, B.J.; Mullins, J.T. Municipal Forest Program Management in the United States of America: A Systematic Review. Forests 2023, 14, 35. https://doi.org/10.3390/f14010035
Hargrave JR, Harper RW, Butler BJ, Mullins JT. Municipal Forest Program Management in the United States of America: A Systematic Review. Forests. 2023; 14(1):35. https://doi.org/10.3390/f14010035
Chicago/Turabian StyleHargrave, J. Rebecca, Richard W. Harper, Brett J. Butler, and Jamie T. Mullins. 2023. "Municipal Forest Program Management in the United States of America: A Systematic Review" Forests 14, no. 1: 35. https://doi.org/10.3390/f14010035
APA StyleHargrave, J. R., Harper, R. W., Butler, B. J., & Mullins, J. T. (2023). Municipal Forest Program Management in the United States of America: A Systematic Review. Forests, 14(1), 35. https://doi.org/10.3390/f14010035