The Development of Basic Visual Tree Assessment Form: A case study of Thammasat University Rangsit Center

Main Article Content

Suppawad Kaewkhow
Manat Srivanit

Abstract

Tree risk assessment is a relatively new concept in Thailand, where current methods and data are predominantly adapted from foreign sources. However, differences in environmental conditions and tree species between Thailand and other countries may lead to inaccuracies when applying these methods directly. Moreover, the complexity of factors and risk rating methods poses challenges for individuals without prior experience in tree risk assessment. This study aimed to develop a simplified and localized basic tree risk assessment form tailored to Thailand’s context. The development process involved reviewing 35 factors from existing literature, which were evaluated for content validity by three arboriculture experts. A total of 30 factors were identified as essential for creating the assessment form. To test its accuracy, the form was applied to 442 trees in the student dormitory area at Thammasat University Rangsit Center, with assessments conducted by professional arborists and volunteers. The results showed an overall accuracy with an average Kappa Coefficient of 0.72 (72%). However, two factors—planting distance and wind direction—exhibited low Inter-Rater Reliability (IRR) values (<0.20). Consequently, adjustments were made: the Slenderness Coefficient (SC) was adopted to represent tree stability, and the Live Crown Ratio (LCR) was introduced to reflect overall tree health. The finalized basic tree risk assessment form includes three main components: general survey information, above-ground factors, and surface/subsurface factors. This tool provides a practical framework for tree risk assessment in Thailand, improving accessibility and accuracy for both professionals and non-experts.

Article Details

How to Cite
Kaewkhow, S., & Srivanit, M. (2024). The Development of Basic Visual Tree Assessment Form: A case study of Thammasat University Rangsit Center. Journal of Landscape Architecture and Planning, 6(1), 276630. Retrieved from https://so01.tci-thaijo.org/index.php/LAJ/article/view/276630
Section
Articles

References

ทศพร วัชรางกูร, วรพรรณ หิมพานต์, ปิยนุช รับพร และจารุณี โนรีเวช (2558). แนวทางการตัดขยายระยะสวนป่าในเชิงพาณิชย์. งานวิจัยการปลูกสร้างสวนป่า กลุ่มงานวนวัฒนวิจัย สำนักวิจัยและพัฒนาการป่าไม้ กรมป่าไม้. https://forprod.forest.go.th/forprod/silvic/for_plant/data/RFD/1.pdf

ประสพชัย พสุนนท์. (2558). การประเมินความเชื่อมั่นระหว่างผู้ประเมินโดยใช้สถิติแคปปา. วารสารวิชาการศิลปะศาสตร์ประยุกต์, 8(1), 1-19. https://ojs.kmutnb.ac.th/index.php/faa/article/view/784/729

มานัส ศรีวณิช, ศุภวัจน์ แก้วขาว และชาญยุทธ เมืองเรือง. (2567). รายงานฉบับสมบูรณ์ (Final Report) การพัฒนาฐานข้อมูลไม้ยืนต้นเพื่อสนับสนุนการจัดการสารสนเทศด้านรุกขกรรมในการวางแผนภูมิทัศน์เขตพื้นที่มหาวิทยาลัย. มหาวิทยาลัยธรรมศาสตร์ ศูนย์รังสิต

สุรพงษ์ คงสัตย์ และธีรชาติ ธรรมวงศ์. (25 พฤศจิกายน 2558). การหาความเที่ยงตรงของแบบสอบถาม (IOC). มหาวิทยาลัยมหาจุฬาลงกรณราชวิทยาลัย. https://www.mcu.ac.th/article/detail/14329

ศูนย์นวัตกรรมการออกแบบและวิจัย คณะสถาปัตยกรรมศาสตร์และการผังเมือง. (2556). รายงานฉบับสมบูรณ์ (Final Report) โครงการปรับปรุงผังแม่บทมหาวิทยาลัยธรรมศาสตร์ ศูนย์รังสิต พ.ศ. 2577 ส่วนที่ 1 รายละเอียดการวางผังแม่บท. น.2 (1-5). มหาวิทยาลัยธรรมศาสตร์ ศูนย์รังสิต

Albers J. S., Pokorny J. D., & Johnson G. R. (1992). How to detect and assess hazardous defects in trees. In D. J. Pokorny (Ed.). Urban tree risk management: A community guide to program design and implementation (pp. 41-109). USDA Forest Service, Northeastern Area, State and Private Forestry. https://www.fs.usda.gov/nrs/pubs/na/NA-TP-03-03.pdf

Angwin A. P., Cluck R. D., Rosen J., Woodruff C. W., Hawkins E. A., Barnes W. C., Cannon G. P., & Hazelhurst S. (2022). Hazard tree identification and mitigation forest health technical report (FHP Report # RO-22-01). USDA Forest Service Pacific Southwest Region. https://www.fs.usda.gov/Internet/FSE_DOCUMENTS/fseprd1087205.pdf

Boldgett T. J., Burns S. K., & Lalande M. B. (2020). Tree failures evaluation using survey123 (Technical Report R2-75 Version 2). USDA Forest Service, Rocky Mountain Region, State, Private, and Tribal Forestry Forest Health Protection. https://www.fs.usda.gov/Internet/FSE_DOCUMENTS/fseprd773032.pdf

Coder K. D. (2021, n.d. July). Tree risk and hazard management concept. (Publication WSFNR-21-50C) Warnell School of Forestry & Natural Resources, University of Georgia. https://bugwoodcloud.org/resource/files/25259.pdf

Czaja M., Kołton A., & Muras P. (2020). The complex issue of urban trees—stress factor accumulation and ecological service possibilities. Forests, 11(9). 932. https://doi.org/10.3390/f11090932

Draper B. D., & Richards A. P. (2009). Dictionary for managing trees in urban environments. Victoria: CSIRO Publishing. https://doi.org/10.1071/9780643096868

Dudkiewicz, M., & Durlak, W. (2021). Sonic tomograph as a tool supporting the sustainable management of historical greenery of the UMCS Botanical Garden in Lublin. Sustainability, 13(16), 9451. https://doi.org/10.3390/su13169451

Gauthier W. N. Kaiser C., Dockery J., Scott D.,& Goodin K, (2020, 21 July). Stress and decline in woody plant. Kentucky Pest News. https://kentuckypestnews.wordpress.com/2021/07/20/stress-and-decline-in-woody-plants/

Guller, B., Guller, A., & Kazaz, G. (2013). Is resistograph an appropriate tool for the annual tree-ring analysis of conifers?. NDE for Safety / Defektoskopie 2012, 42nd International Conference , Oct 30 - Nov 1, 2012, Seč, Czech Republic. https://www.ndt.net/?id=14410

Hauer R.J., Hanou I.S. & Sivyer D. (2020a). Planning for active management of future invasive pests affecting urban forests: the ecological and economic effects of varying Dutch elm disease management practices for street trees in Milwaukee. Urban Ecosystem, 23, 1005–1022. https://doi.org/10.1007/s11252-020-00976-6

Hauer R.J., Koeser A. K., Parbs S., Kringer J., Ottman K.., Miller R.W., Sivyer D.,Timilsina, N., & Werner L.P., (2020b). Long-term effects and development of a tree preservation program on tree condition, survival, and growth. Landscape and Urban Planning 193, 103670. https://doi.org/10.1016/j.landurbplan.2019.103670.

Hayes E. (2002). Tree risk assessment and tree mechanics. Arborist News, 11(6), 33-37.

Hirons, A., & Thomas, P. A. (2018). Applied tree biology (1st ed.). Wiley.

Kaewkhow S. & Srivanit, M. (2020). Aggregation of Thai arborist judgments on urban tree hazard inventories used to determine tree health at single-tree level. IOP Conference Series: Materials Science and Engineering 910. 012023. https://doi.org/10.1088/1757-899x/910/1/012023

Kielbaso J.J. (2008). Management of urban forests in the United States. In: Carreiro, M. M., Song, Y.-C., & Wu, J. (Eds.), Ecology, Planning, and Management of Urban Forests. Springer. (pp. 240–258).

Long, W.D., Faller, M.C., & Megalos, M.A. (2008, 1 November). City Tree Inventory: the Experience of a Small Town. A Regional Peer Reviewed Technology Bulletin. Southern Regional Extension Forestry, https://sref.info/resources/publications/city-tree-inventory-the-experience-of-a-small-town

Ma B., Hauer R. J., Ostberg¨ J., Koeser K. A., Wei H., & Xu C., (2021). A global basis of urban tree inventories: What comes first, the inventory or the program. Urban Forestry & Urban Greening, 60, 127087. https://doi.org/10.1016/j.ufug.2021.127087

Mattheck C. (2007). Updated field guide for visual tree assessment. Forschungszentrum Karlsruhe

Miller G. (2006). Basic tree risk assessment. Arborist News, 15(5), 12-17. https://www.historictreecare.com/wp-content/uploads/2012/05/ISA-CEU-Basic-Tree-Risk-Assessment-complete.pdf

Matheny P. N. and Clark J. (2009). Tree risk assessment: What we wnow (and what we don’t know). Arborist news, 18(1), 28-33. https://wwv.isa-arbor.com/education/resources/educ_Portal_Risk_AN.pdf

Miller, R.W., Hauer, R.J., & Werner, L.P. (2015). Urban forestry : planning and managing urban greenspaces (3rd ed.). Waveland Press.

Morgenroth J., Östberg J. (2017). Measuring and monitoring urban trees and urban forests. In Ferrini, F., Konijnendijk C.C., Fini, A. (Eds.), Routledge Handbook of Urban Forestry (1st ed., pp. 33–48). Routledge. https://www.taylorfrancis.com/chapters/edit/10.4324/9781315627106-3/measuring-monitoring-urban-trees-urban-forests-justin-morgenroth-johan-östberg

Nielsen B. A., Östberg J., & Delshammar T. (2014). Review of urban tree inventory methods used to collect data at single-tree level. Arboriculture & Urban Forestry, 40(2), 96–111. https://doi.org/10.48044/jauf.2014.011

Norris M.B. and Moore G.M. (2020). How tree risk assessment methods work: Sensitivity analyses of sixteen methods reveal the value of quantification and the Impact of Inputs on risk ratings. Arboriculture & Urban Forestry. 46(6). 402–431. https://doi.org/10.48044/jauf.2020.030

Norris M.B. (2007, May 5). Tree risk assessments – what works – what does not – can we tell? A review of a range of existing tree risk assessment methods [Conference Presentation]. ISAAC Conference, Perth, Australia. https://unri.org/ECO%20697U%20S14/norris-_tree_risk_assessments.pdf

Ogle C. (2021, October 11). Structural Defects, Tree Failure, and Risk. In C. King & L. Marlowe (Eds.), Tree Stewardship Manual (pp.260-301). Virginia Cooperative Extension, Virginia Tech. https://doi.org/10.21061/treesteward

Östberg, J., Delshammar T., Wiström B., & Nielsen A. B. (2013, August 7). Grading of Parameters for Urban Tree Inventories by City Officials, arborists, and a academics Using the Delphi Method [Conference presentation]. The 89th Annual Conference of the International Society of Arboriculture, Toronto, Ontario, Canada. https://wwv.isa-arbor.com/events/conference/proceedings/2013/OSTBERG_extended_abstract.pdf

Podr´azský, V., Zahradník, D., & Remeˇs, J. (2014). Potential consequences of tree species and age structure changes of forests in the Czech Republic – Review of forest inventory data. Wood Research 59(3), 483–490. https://www.woodresearch.sk/wr/201403/11.pdf

Prucell L. (n.d). Tree risk management (FNR-475-W). Department of Forestry & Natural Resources, Purdue University Extension. https://www.extension.purdue.edu/extmedia/FNR/FNR-475-W.pdf

Salbitano F., Borelli S., Conigliaro M., & Chen Y. (2016). Guidelines on urban and peri-urban forestry. Food and Agriculture Organization of the United Nations. https://openknowledge.fao.org/items/ed818e71-49f8-4247-91eb-56158955dff6

Sjöman H. (2012). Trees for tough urban sites : learning from nature. [Doctoral dissertation, Swedish University of Agricultural Sciences]. SLU publication database. https://res.slu.se/id/publ/78990

Smiley E. T., Matheny P. N. & Lilly, J. S. (2017). Tree risk assessment. In F. Ferrini, C. C. Konijnendijk, & A. Fini (Eds.), Routledge handbook of urban forestry (1st ed., pp. 478-488). Routledge.

Smiley E. T., Matheny P. N. & Lilly, J. S. (2012a). Qualitative tree risk assessment. Arborist News, 21(1), 12-18. https://wwv.isa-arbor.com/events/conference/proceedings/2013/SMILEY_MATHENY_Tree_Risk_Assessment_Qualitative_AN_Feb_2012.pdf

Smiley E. T., Matheny P. N. & Lilly, J. S. (2012b). Tree risk assessment: Levels of Assessment. Arborist News, 21(2), 12-20.

Worrall J. J. (n.d.). Hazard Trees. Forest Pathology. https://forestpathology.org/hazard-trees/

Zhao, J., Wang, X., & Liu, L. (2021). Sustainability assessment of urbanization using an improved entropy-weighted TOPSIS method: A case study in China. Sustainability, 13(16), 9451. https://doi.org/10.3390/su13169451