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---
title: "Welcome!"
pagetitle: "Daniel Burcham"
image: avatar.jpg
about:
template: trestles
links:
- text: Google Scholar
icon: googlescholar
url: "https://scholar.google.com/citations?user=earnY-EAAAAJ&hl=en"
- text: GitHub
icon: github
url: "https://github.com/danielburcham"
- text: Email
icon: envelope
url: "mailto:daniel.burcham@colostate.edu"
- text: CV
url: "Burcham_CV.pdf"
comments: false
editor:
markdown:
wrap: 72
---
::: column-page
## Hello there!
I'm an assistant professor in the [Department of Horticulture and Landscape Architecture](https://agsci.colostate.edu/department/horticulture-and-landscape-architecture/) in the [College of Agricultural Sciences](https://agsci.colostate.edu) at [Colorado State University](https://www.colostate.edu). I received a PhD in environmental conservation, with an emphasis in forest resources and arboriculture, from the [University of Massachusetts Amherst](https://www.umass.edu) in 2020.
I study the trees and forests cultivated amid communities to benefit people. I am interested in the persistence and preservation of large, mature trees facing various disturbances in cities, and I work to identify the natural adaptations and management interventions conferring longevity to individual trees and, at broader scales, limiting mortality rates in urban forests.
I also teach courses on the science and practice of urban tree and forest management, and I work with practitioners, policymakers, and other stakeholders to improve community trees and forests for the health, well being, and safety of nearby people.
<p>
</p>
## Selected Projects
#### Peer-reviewed journal articles
**Identifying modal properties of trees with Bayesian inference.** Burcham, D.C. and Au, S.K. 2022. Agricultural and Forest Meteorology 316:108804. <https://doi.org/10.1016/j.agrformet.2021.108804>
**After pruning, wind-induced bending moments and vibration decrease more on reduced than raised Senegal mahogany (*Khaya senegalensis*).** Burcham, D.C., Autio, W.R., Modarres-Sadeghi, Y., Kane, B. 2021. Urban Forestry and Urban Greening 61: 127100. <https://doi.org/10.1016/j.ufug.2021.127100>
**Can sonic tomography predict loss in load-bearing capacity for trees with internal defects? A comparison of sonic tomograms with destructive measurements.** Burcham, D.C., Brazee, N.J., Marra, R.E., Kane, B. 2019. Trees: Structure and Function, 33(3):681-695. <https://doi.org/10.1007/s00468-018-01808-z>.
#### Software packages
[`zloss`](https://github.com/danielburcham/zloss) \| Estimating the reduced strength of decayed trees from sonic tomograms \| 2017\
:::