> For the complete documentation index, see [llms.txt](https://terradapt.gitbook.io/terradapt-cascadia-documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://terradapt.gitbook.io/terradapt-cascadia-documentation/methods-and-validation/rangeland-fractional-cover.md). # Rangeland Fractional Cover ### Overview Rangeland fractional cover refers to the percentage of a pixel that is covered in a particular vegetation type found in the arid rangelands of western North America. These fractional rangeland vegetation types vary widely as a function of succession after disturbances like wildfire, and often have profound influences on habitat quality for rangeland-associated species. TerrAdapt:Cascadia currently models fractional cover of 4 rangeland vegetation types, including % sagebrush cover, % shrub cover, % perennial grass cover, and % invasive annual grass cover. In the following sections, we describe the training data and covariates we used to predict rangeland fractional cover, our approach to developing the models, and model validation. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://terradapt.gitbook.io/terradapt-cascadia-documentation/methods-and-validation/rangeland-fractional-cover.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.