EcoSta 2024: Start Registration
View Submission - EcoSta 2025
A0922
Title: Robustness of point process species distribution models to misspecified temporal support Authors:  Narmadha M Mohankumar - Pacific Northwest National Lab (United States) [presenting]
Abstract: Temporal dynamics of ecological processes are complex, and their influence on species-habitat relationships and species distribution operates on various spatial and temporal scales. Researchers often use spatio-temporal point process models to model species habitat relationships and predict species distribution across different spatial and temporal scales; however, their robustness to changing temporal scales is rarely studied. The research investigates how changes in the temporal support impact the robustness of these models to ensure accurate insights into species distribution across time. Data fusion is utilized, combining distance sampling and capture-recapture data through a spatio-temporal point process model, overcoming individual data source limitations, and then assessing the robustness of spatio-temporal point process models to changing temporal scales, enhancing the ability to study species distribution in complex spatio-temporal contexts.