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Multi-criteria decision analysis for ecological restoration site-selection in an anthropogenic watershed
Thesis   Open access

Multi-criteria decision analysis for ecological restoration site-selection in an anthropogenic watershed

Matthew Rowan Little
University of Iowa
Master of Arts (MA), University of Iowa
Spring 2026
DOI: 10.25820/etd.008396
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Abstract

Anthropocentric land cover change patterns and biodiversity decline highlight the need for ecological restoration in highly altered landscapes. Reliable, user-friendly methods for restoration site selection are particularly important in landscapes where few remnant habitat patches remain for native species. Using Multi-Criteria Decision Analysis (MCDA) to explore restoration potential has been under-utilized, particularly at multiple spatial scales in strongly altered settings, using only publicly available data. We use MCDA to identify sites of varying ecological restoration potential in the Iowa-Cedar River watershed, IA & MN (USA). We explore whether identifying potential restoration sites is more effective using only extant vegetation and conditions as indicators, or whether including other restoration-relevant factors increases the scope of restoration suitability. Our analysis informed us of the weights of different decision criteria using ratings from experts in restoration within our study area. We advance on many past similar approaches by approximating quantitative values for cost and time investment needed to carry out restoration of specific land cover types in this watershed. Our results show higher suitability with greater proximity to watercourses and existing natural habitat patches. Additionally, we demonstrate the scale of land covers once covering our study area which could be restored, if implementation were to occur in suitable areas. Our approach emphasizes the influence of socio-economic factors, e.g., land ownership, and likelihood of landowner engagement in restoration site selection.
Conservation Biology Ecology Geography Conservation Ecological Restoration Site-selection

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