RESEARCH Incorporating dynamic distributions into spatial prioritization

摘要: Aim Species’ distributions are generally treated as static for the purposes of prioritization, but many species such migrants and nomads have that shift over time. Decisions about priority actions must account this temporal variation, making planning their conservation a complex problem. Here, we explore how dynamic can be incorporated into spatial suggest approaches prioritizing action when knowledge species’ movements is uncertain. Location Australian rangelands, including arid semi-arid zones central Australia adjoining monsoonal tropics, although methods applicable any biodiversity feature. Methods We used decision-support software MARXAN to impact dynamics on suite 42 highly mobile birds across study region. explored scenarios comparing representation with four integrating dynamics: (1) accounting variability in distribution months years, (2) considering only monthly distribution, (3) annual (4) minimal during bottlenecks, ignoring at other times. Results Incorporating prioritization substantially changes pattern investment, increasing overall area needed placed under measures achieve specific target level protection. Targeting locations critical each its minimum, prioritizes very different sites those chosen using traditional approach maps based occurrences pooled Main conclusions Our results highlight need consider process ensure adequately protected. A may misdirect resources lead inadequate species.