Trees improve soil health and biodiversity on a golf course
DOI:
https://doi.org/10.58445/rars.1010Keywords:
Golf course, soil structure, pesticides, organic matter, biodiversityAbstract
Currently, golf courses often remove trees and use unnatural methods to maintain turfgrass, such as using pesticides. Previous research has primarily focused on the benefits of trees in areas other than the golf course and has shown that trees are important for maintaining soil health and biodiversity. In order to determine the impact of trees on soil nutrients, soil structure, and biodiversity on a golf course, soil cores were collected from 1m, 5m, and 10m from the base of five mature trees on a golf course in Princeton, New Jersey, U.S. The soil samples were tested for pH, nitrogen/potassium/phosphorus content, water stable aggregates, and soil color. The percentage of weeds at each distance was also recorded in a 1m x 1m plot. It was found that as the distance from the tree increased, water-stable aggregates and the percentage of weeds decreased. Soil brightness tended to increase as the distance from the tree increased. Soil nutrients (N/P/K) and soil pH did not change significantly across the different distances from the trees. In summary, this study found that, consistent with previous research, trees on the golf course did improve the overall health of the soil by increasing the amount of water stable aggregates and organic matter, accommodating a higher biodiversity belowground and aboveground. Based on the results, it is recommended that trees are planted and maintained on golf courses to keep the soil healthy longer so that less unnatural maintenance is required.
References
Asghar, S., Kazmi, M. M., Hasan, J., & Amer, A. (2022). Management of Weeds and Sustainable Technique. Int. J. Agric. Sustain. Dev, 4(2), 1-6. https://www.researchgate.net/profile/Qamar-Shabbir/publication/370156766_Management_of_Weeds_and_Sustainable_Technique
Esticon. (2021). EWhat happens if it rains after pest control? Esticon Pest Control. https://www.pesticon.com/pest-prevention/what-happens-if-it-rains-after-pest-control
Geisen, S., Wall, D., & Van der Putten, W. (2019). Challenges and opportunities for soil biodiversity in the anthropocene. CellPress Current Biology. https://doi.org/10.1016/j.cub.2019.08.007
Kalwar, N. (2017). Soil organic matter and its benefits. University of Nebraska-Lincoln. https://cropwatch.unl.edu/2017/soil-organic-matter-and-its-benefits
Marble C. & Samuel, N.(2023). Weeds as indicators of soil conditions in lawns and landscapes. University of Florida. https://edis.ifas.ufl.edu/publication/EP634
Monaco, T. J., Weller, S. C., & Ashton, F. M. (2002). Weed science: principles and practices. John Wiley & Sons.
Mongiafico, S. (2023). rcompanion: Functions to Support Extension Education Program Evaluation. CRAN. https://cran.r-project.org/web/packages/rcompanion/index.html
Myers, M. (2020). How trees help manage water in your lawn and landscape. Milorganite. https://www.milorganite.com/blog/trees-shrubs/how-trees-help-manage-water-your-lawn-and-landscape
NSW. (2023). Soil biodiversity. NSW Department of Planning and Environment. https://www.environment.nsw.gov.au/topics/land-and-soil/soil-degradation/soil-biodiversity
Sens, J. (2020). Why golf courses remove trees (and why you might want to do so in your own yard). Golf. https://golf.com/lifestyle/reasons-golf-courses-remove-trees-according-golf-course-superintendent/
Sin, A. (2023). Soil brightness satellite maps. AHDB. https://ahdb.org.uk/knowledge-library/soil-brightness-satellite-maps
Tisdall, J. & Oades, J. (1982). Organic matter and water-stable aggregates in soils. British society of soil science. https://bsssjournals.onlinelibrary.wiley.com/doi/10.1111/j.1365-2389.1982.tb01755.x
USDA. (2021). Cropland in-field soil health assessment guide. USDA. https://dpl6hyzg28thp.cloudfront.net/media/soil_quality_measurement.pdf
USDA. (2019). Fertilizers & pesticides. USDA. https://www.ers.usda.gov/topics/farm-practices-management/fertilizers-pesticides/
Vodyanitskii, Y. (2017). The influence of organic matter on soil color using the regression equations of optical parameters in the system CIE-L*a*b*. ScienceDirect. https://www.sciencedirect.com/science/article/pii/S1512188717300994
Wheeler, B. & Torchiano, M. (2016). lmPerm: Permutation Tests for Linear Models. CRAN. https://CRAN.R-project.org/package=lmPerm
Downloads
Posted
Categories
License
Copyright (c) 2024 Jacqueline Zang
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.