25 research outputs found

    Variable effects of protected areas on long鈥恡erm multispecies trends for Australia's imperiled birds

    No full text
    Abstract Protected areas are important for preventing biodiversity declines, yet indicators of species' trends in protected areas rarely include threatened species. We use data from the first national Threatened Species Index developed in Australia to report on trends for threatened and near鈥恡hreatened birds inside and outside terrestrial and marine protected areas. We adopted the Living Planet Index to calculate trends for 39 bird taxa at 16,742 monitoring sites (11,539 inside and 5,203 outside PAs) between 1985 and 2016. At a continental scale, the overall decline in the national index was smaller inside protected areas (66% decrease in average population abundance) than outside (77%), although after 2000 declines were greater within (36%) versus outside (26%) protected areas. Five out of seven jurisdictions showed similar switching in patterns over time. Protected areas initially had a greater net positive effect on trends of more imperiled birds than less imperiled birds, but between 2000 and 2016 declines of the most imperiled birds were greater inside protected areas than outside. Our analyses suggest that the effectiveness of Australia's protected area network at improving trends in threatened species has weakened, and support the hypothesis that trends for terrestrial birds outside PAs might be improving due to increased conservation efforts on private land. Although this study represents the most comprehensive collation of threatened species population time series and trends ever for Australia, the number of monitoring sites inside PAs was double that outside PAs, even though on average, more than 70% of threatened bird distributions occur outside PAs, with important gaps in monitoring across space, time and taxa that need to be filled to fully understand the effectiveness of public and private conservation actions at a national level. The results underline the importance of active management plus monitoring to track and report on long鈥恡erm trends across species

    Rapid growth and defence evolution following multiple introductions

    No full text
    Rapid adaptation can aid invasive populations in their competitive success. Resource allocation trade-off hypotheses predict higher resource availability or the lack of natural enemies in introduced ranges allow for increased growth and reproduction, thus contributing to invasive success. Evidence for such hypotheses is however equivocal and tests among multiple ranges over productivity gradients are required to provide a better understanding of the general applicability of these theories. Using common gardens, we investigated the adaptive divergence of various constitutive and inducible defence-related traits between the native North American and introduced European and Australian ranges, while controlling for divergence due to latitudinal trait clines, individual resource budgets, and population differentiation, using >11,000 SNPs. Rapid, repeated clinal adaptation in defence-related traits was apparent despite distinct demographic histories. We also identified divergence among ranges in some defence-related traits, although differences in energy budgets among ranges may explain some, but not all, defence-related trait divergence. We do not identify a general reduction in defence in concert with an increase in growth among the multiple introduced ranges as predicted trade-off hypotheses. Synthesis: The rapid spread of invasive species is affected by a multitude of factors, likely including adaptation to climate and escape from natural enemies. Unravelling the mechanisms underlying invasives' success enhances understanding of eco-evolutionary theory and is essential to inform management strategies in the face of ongoing climate change. OPEN RESEARCH BADGES: This article has been awarded Open Materials, Open Data, Preregistered Research Designs Badges. All materials and data are publicly accessible via the Open Science Framework at https://doi.org/10.6084/m9.figshare.8028875.v1, https:/
    corecore