Structured Allometric Models for Trees

Download and Visualize Essential Global Heating Data in R

R code and spatial predictions for WHRC-TNC project modeling spatial extent of soil carbon loss due to agriculture

Documents, Data, and Code. The NCX Methodology For Improved Forest Management (IFM) Through Short-Term Harvest Deferral.

A repository with the data preparation and prioritzation code for the NatureMap analysis

A repository of allometric model files and parameters.

A Matrix-Based MIP(Model Intercomparison Project)

Code used to produce data for: Cook-Patton et al. 2020 Lower cost and more feasible options to restore forest cover in the contiguous United States for climate mitigation, One Earth 3: 739-752, doi.org/10.1016/j.oneear.2020.11.013 (link to publication here: https://www.cell.com/one-earth/fulltext/S2590-3322(20)30603-5)

Supplemental files accompanying McTigue, N.D., Q.A. Walker, & C.A. Currin (2021) "Refining estimates of greenhouse gas emissions from salt marsh “blue carbon” erosion and decomposition."

Meta-Synthesis

Files to aid the R modeling component of the Earth System Evolution course -- Stanford Univ. 2019

Interface to the 'ICOS' Carbon Portal

Code for manuscript - 'Active restoration accelerates the carbon recovery of human-modified tropical forests'

We estimate the potential carbon store of different ecosystems of the world

Source code of article Countries’ differentiated responsibilities to fulfill area-based conservation targets of the Kunming-Montreal Global Biodiversity Framework

For my R Programming course, we were tasked with creating an R package. I chose to create a package centered around functions to calculate one's carbon usage. Rough estimates were used for estimation.

radiocarbon calibration in r script in same way Calib software.

Through collaboration with the College of Charleston and the USDA Forest Service Southern Research Station a soils technical report was created using SQL for data mining and graphs generated in R.

This repository contains data and analytical scripts on the impact of agricultural management practices on carbon sequestration and soil quality in Rio Verde, Goiás. It includes measurements of soil density, organic carbon, and carbon credits from no-till farming systems.

Resultados preliminares obtenidos de las simulaciones selvícolas realizadas para el proyecto Life Rebollo