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https://github.com/bioatmosphere/uvafme-voc

An Individual-based Forest VOC Emission Model built on top of the state-of-the-art Forest Gap Model UVAFME

https://github.com/bioatmosphere/uvafme-voc

Science Score: 23.0%

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    CITATION.cff file
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    Found 14 DOI reference(s) in README
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    Links to: nature.com
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    Low similarity (12.1%) to scientific vocabulary

Keywords

air-quality biodiversity chestnut demography dgvm ecosystem forest gap-models ibm isoprene mortality succession uvafme uvafme-voc voc
Last synced: 5 months ago · JSON representation

Repository

An Individual-based Forest VOC Emission Model built on top of the state-of-the-art Forest Gap Model UVAFME

Basic Info
  • Host: GitHub
  • Owner: bioatmosphere
  • License: mit
  • Language: Fortran
  • Default Branch: master
  • Homepage:
  • Size: 2.71 MB
Statistics
  • Stars: 4
  • Watchers: 2
  • Forks: 1
  • Open Issues: 0
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Topics
air-quality biodiversity chestnut demography dgvm ecosystem forest gap-models ibm isoprene mortality succession uvafme uvafme-voc voc
Created over 8 years ago · Last pushed over 3 years ago
Metadata Files
Readme License

README.md

Forest compostional dynamics

UVAFME-VOC

GitHub repo size GitHub stars GitHub forks Twitter Follow

UVAFME-VOC is an Individual-based forest volatile organic compounds emission model that is developed from the state-of-the-art forest gap model--University of Virginia Forest Model Enhanced (UVAFME). Though with an VOC component, this model can TOTALLY be treated and applied as an individual-based forest gap model, as the VOC component is literally added on top of UVAFME without changing any part of it.

Please check out the manuscript by Wang, Shugart, and Lerdau in Ecological Modelling for details.

UVAFME-VOC (v1.0) is written in Fortran 2003 (a Python-based version that would make it more widely accessible is under conceiving). Any questions related to the explicit VOC simulation in particular and the individual-based forest model in general can be directed to B. Wang @ wbwenwen@gmail.com or bw8my@virginia.edu

Run UVAFME-VOC

Get the code/repo

shell git clone https://github.com/bioatmosphere/UVAFME-VOC Understand the directory structure:

  1. src/: 24 in total including all source code (in .f90/.F90) and a Makefile.

  2. input_data/: all input files needed

  3. output_data/: where outputs reside

  4. file_list.txt: a .txt file lising directories of all files needed

Compile and Run the Program

Navigate to the src/ folder and run the following commands from a shell:

```shell

compile and move the successfully compiled .exe file out of /src above to its parent folder

NOTE: a compiler (e.g. intel) is required

make UVAFME.exe mv UVAFME.exe ..

run the program

./UVAFME.exe file_list.txt ```

Publications arising from this model

Wang, B., Shugart, H. H., & Lerdau, M. T. (2017). An individual-based model of forest volatile organic compound emissions—UVAFME-VOC v1.0. Ecological Modelling, 350, 69-78.

Wang, B., Shugart, H. H., Shuman, J. K., & Lerdau, M. T. (2016). Forests and ozone: productivity, carbon storage, and feedbacks. Scientific Reports, 6, 22133.

Wang, B., Shuman, J., Shugart, H. H., & Lerdau, M. T. (2018). Biodiversity matters in feedbacks between climate change and air quality: a study using an individual‐based model. Ecological Applications.

Shugart, H. H., Wang, B., Fischer, R., Ma, J., Fang, J., Yan, X., ... & Armstrong, A. H. (2018). Gap models and their individual-based relatives in the assessment of the consequences of global change. Environmental Research Letters, 13, 033001.

Wang, B., Shugart, H.H. & Lerdau, M.T. (2019). Complexities between plants and the atmosphere. Nature Geoscience 12, 693–694

H. H. Shugart, Adrianna Foster, Bin Wang, Dan Druckenbrod, Jianyong Ma, Manuel Lerdau, Sassan Saatchi, Xi Yang & Xiaodong Yan. (2020).Gap models across micro- to mega-scales of time and space: examples of Tansley’s ecosystem concept. Forest Ecosystems 7, 14.

Zhang, H.; Shugart, H.H.; Wang, B.; Lerdau, M. The Significance of Aggregation Methods in Functional Group Modeling. Forests 2021, 12, 1560.

Owner

  • Name: Bin Wang
  • Login: bioatmosphere
  • Kind: user
  • Location: Oak Ridge

Studying biosphere-atmosphere interactions with interwoven theory- and data-driven approaches

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