UBC Research Data

Evaluating Riparian Function Using LiDAR-Derived Vegetation Intactness and Cattle Accessibility in the Cariboo Region, British Columbia Yang, Yufei

Description

Riparian zones provide vital ecological services, such as maintaining water quality, supporting biodiversity, and stabilizing stream banks; however, these areas in British Columbia’s Cariboo Natural Resource Region are increasingly pressured by forestry practices, cattle grazing, and private land management. Traditional cumulative effects assessments rely predominantly on indirect indicators of disturbance potential, which may inaccurately represent actual conditions, making direct quantification of riparian vegetation intactness and cattle accessibility critical for effective management. This study utilized high-resolution Light Detection and Ranging (LiDAR) data and spatial datasets to directly assess riparian conditions across four watersheds (approximately 20 km² each), addressing three objectives: (1) quantifying vegetation intactness within riparian zones on private land and Indian Reserves compared to adjacent crown land; (2) modeling cattle accessibility to riparian areas within active range tenures based on slope and vegetation density; and (3) evaluating the effectiveness of vegetation retention within forestry cutblock buffers (harvested areas less than 40 years old). Results revealed significant disparities in vegetation intactness, with crown land riparian buffers showing substantially higher mean canopy heights (7.54 m) than private and Indian Reserve lands (2.78 m). Approximately 50–60% of riparian areas within range tenures were highly accessible to cattle, with an additional 30–40% classified as medium accessibility, underscoring potential ecological risks from grazing. While 79.7% of forestry riparian buffers retained vegetation, their average canopy height (5.80 m) was significantly lower than surrounding areas (7.82 m), suggesting compromised ecological integrity. These findings emphasize the importance of leveraging remote sensing data in cumulative effects assessments, providing precise management guidance to enhance riparian protection strategies and policy efficacy.

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