A Systematic Review of Marine-Based Species Distribution Models (SDMs) with Recommendations for Best Practice
نویسندگان
چکیده
In the marine environment Species Distribution Models (SDMs) have been used in hundreds of papers for predicting the present and future geographic range and environmental niche of species. We have analyzed ways in which SDMs are being applied to marine species in order to recommend best practice in future studies. This systematic review was registered as a protocol on the Open Science Framework: https:// osf.io/tngs6/. The literature reviewed (236 papers) was published between 1992 and July 2016. The number of papers significantly increased through time (R2 = 0.92, p< 0.05). The studies were predominantly carried out in the Temperate Northern Atlantic (45%) followed by studies of global scale (11%) and studies in Temperate Australasia (10%). The majority of studies reviewed focused on theoretical ecology (37%) including investigations of biological invasions by non-native organisms, conservation planning (19%), and climate change predictions (17%). Most of the studies were published in ecological, multidisciplinary, or biodiversity conservation journals. Most of the studies (94%) failed to report the amount of uncertainty derived from data deficiencies and model parameters. Best practice recommendations are proposed here to ensure that novice and advanced SDM users can (a) understand the main elements of SDMs, (b) reproduce standard methods and analysis, and (c) identify potential limitations with their data. We suggest that in the future, studies of marine SDMs should report on key features of the approaches employed, data deficiencies, the selection of the best explanatory model, and the approach taken to validate the SDM results. In addition, based on the literature reviewed, we suggest that future marine SDMs should account for uncertainty levels as part of the modeling process.
منابع مشابه
Stacking species distribution models and adjusting bias by linking them to macroecological models
Aim Species distribution models (SDMs) are common tools in biogeography and conservation ecology. It has been repeatedly claimed that aggregated (stacked) SDMs (S-SDMs) will overestimate species richness. One recently suggested solution to this problem is to use macroecological models of species richness to constrain S-SDMs. Here, we examine current practice in the development of S-SDMs to iden...
متن کاملCombining Methods to Describe Important Marine Habitats for Top Predators: Application to Identify Biological Hotspots in Tropical Waters
In tropical waters resources are usually scarce and patchy, and predatory species generally show specific adaptations for foraging. Tropical seabirds often forage in association with sub-surface predators that create feeding opportunities by bringing prey close to the surface, and the birds often aggregate in large multispecific flocks. Here we hypothesize that frigatebirds, a tropical seabird ...
متن کاملA Systematic Review of Clinical Practice Guidelines for Castration-Resistant Prostate Cancer
Cancer constitutes a huge burden on societies in countries with any level of economic development. Prostate cancer is the first most diagnosed cancer of men in developed countries and the forth one in developing countries in terms of incidence rate. It is also the third incident cancer of men in Iran along with a prevalence of about 10,000 cases. Castration-resistant prostate cancer (CRPC) is a...
متن کاملA Systematic Review of Clinical Practice Guidelines for Castration-Resistant Prostate Cancer
Cancer constitutes a huge burden on societies in countries with any level of economic development. Prostate cancer is the first most diagnosed cancer of men in developed countries and the forth one in developing countries in terms of incidence rate. It is also the third incident cancer of men in Iran along with a prevalence of about 10,000 cases. Castration-resistant prostate cancer (CRPC) is a...
متن کاملPredicting the Distribution of Commercially Important Invertebrate Stocks under Future Climate
The future management of commercially exploited species is challenging because techniques used to predict the future distribution of stocks under climate change are currently inadequate. We projected the future distribution and abundance of two commercially harvested abalone species (blacklip abalone, Haliotis rubra and greenlip abalone, H. laevigata) inhabiting coastal South Australia, using m...
متن کامل