i-Tree Research Suite

Research Suite overview


The i-Tree Research Suite offers sophisticated models for technical experts. These models are part of the research & development generating results for core i-Tree Suite tools. If you are not a technical expert in environmental sciences or if you are looking for user-friendly tools to make ecosystem services science accessible to broad audiences, please review the Core Tools on the Tools listing page.

i-Tree Research Suite tools do not come with the technical support offered with core tools in the i-Tree Suite. Research Suite programs exist in a technical and academic environment, and accordingly they may seem esoteric to non-specialists. Research Suite tools come with a minimal user interface (often run from a command-line interface) and technical documentation (generally an R&D manual and scholarly articles). Use of the i-Tree Research Suite code indicates acceptance of the EULA.

For a summary of the i-Tree Research Suite, please view the following slides from the UNRI i-Tree Webinar series (presentation recording coming soon): i-Tree Research Suite introductory webinar - October 31, 2019

Index of Research Suite Tools

The following tools comprise the i-Tree Research Suite, informing the core tools to disseminate ecosystem service science to broad audiences. Tools in this list that have links to their own page are developed and documented sufficiently for use by technical experts. Tools in earlier stages of R&D may appear on this list but without a link to additional information at this time.

If you have questions about any of these tools, please do not contact i-Tree support. Instead, please reach out to the corresponding researcher listed on each Research Suite tool's page.

  • i-Tree Cool River: a mechanistic river temperature model coded in C++, simulating the effects of riparian shading and impervious runoff (Abdi & Endreny, 2019).
  • i-Tree Buffer: a nutrient hotspot mapping tool coded in Python, based on a contributing area dispersal area (CADA) nonpoint-source (NPS) water quality model (Stephan & Endreny, 2016).
  • i-Tree Energy: a building energy balance model coded in Python, mechanistically simulating the heating and cooling energy savings benefits for buildings with nearby trees (DeMarco & Endreny, forthcoming).
  • i-Tree Hydro+: a unified C++ codebase for various environmental models that share common algorithms.
    • i-Tree Hydro (semi-distributed and fully-distributed versions): a hydrology model simulating the effects of land cover changes on water quantity and quality, unique in explicitly modeling vegetation processes (Wang et al., 2008). This is the model used by the i-Tree Hydro graphical user interface (GUI) included in the i-Tree Suite, with Hydro+ and Hydro being synchronized at Hydro version 6.3.
    • i-Tree Cool Air (fully-distributed): an air temperature model simulating the effects of land cover changes using i-Tree Hydro's water budget and an energy budget that explicitly accounts for vegetation processes (Yang et al., 2013).
  • Tree Compensation Calculator: data tables and a calculator to estimate the number of trees (or monetary value) needed to compensate for the loss of a healthy tree of any size (Nowak & Aevermann, 2019).