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Here we review [assessment] methods...gleaned from the literature, for establishing reference points for data-poor situations. We present a new framework to help managers and stakeholders consider and choose appropriate analytical methods and alternative management approaches, based on available data (type, quantity, and quality) and feasibility constraints (scale, value and implementation costs). We highlight limitations and considerations for each method and illustrate the use of our framework by presenting case-study examples.