Meeting Human and Biodiversity Needs for 30 × 30 and beyond with an Iterative Land Allocation Framework and Tool

Spatial conservation prioritization does not necessarily lead to effective plans, and good plans do action. These “science-action” gaps are pernicious need be narrowed, especially if the international goal of conserving 30% planet by 2030 is realized. We present Earthwise Framework, a flexible customizable spatial decision support system (SDSS) architecture social process address challenges these science-action gaps. Utilizing case study experience from regions within California, South Africa, British Columbia, we outline framework provide Little Karoo, Africa SDSS data, code results illustrate five design strategies framework. The first employ an “open science” strategy for collaborative planning Another that marginal value functions allow continuous accounting element (e.g., habitat) representation in algorithms, allowing more automated saves valuable time stakeholders scientists. Thirdly, program connectivity modeling integrated SDSS, with algorithm only automatically calculates all least cost corridors region, but prioritizes among them removes ones make ecological sense. Fourth, highlight innovations multi-criteria analysis both cost-efficient plan development, like representative solution sets, also land-use requirements, site specific valuation, what appears transparent, understandable, usable manner than traditional approaches. Finally, strategic attention communicating uncertainty advocated. Framework open science endeavor can implemented via variety software tools languages, has several frontiers further research shows promise finding better way meet needs humans biodiversity.