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Despite the widespread use of ecological niche models (ENMs) for predicting the responses of species to climate change, these models do not explicitly incorporate any population‐level mechanism. On the other hand, mechanistic models adding population processes (e.g. biotic interactions, dispersal and adaptive potential to abiotic conditions) are much more complex and difficult to parameterize, especially if the goal is to predict range shifts for many species simultaneously. In particular, the adaptive potential (based on genetic adaptations, phenotypic plasticity and behavioral adjustments for physiological responses) of local populations has been a less studied mechanism affecting species’ responses to climatic change so far. Here, we discuss and apply an alternative macroecological framework to evaluate the potential role of evolutionary rescue under climate change based on ENMs. We begin by reviewing eco‐evolutionary models that evaluate the maximum sustainable evolutionary rate under a scenario of environmental change, showing how they can be used to understand the impact of temperature change on a Neotropical anuran species, the Schneider's toad Rhinella diptycha. Then we show how to evaluate spatial patterns of species’ geographic range shift using such models, by estimating evolutionary rates at the trailing edge of species distribution estimated by ENMs and by recalculating the relative amount of total range loss under climate change. We show how different models can reduce the expected range loss predicted for the studied species by potential ecophysiological adaptations in some regions of the trailing edge predicted by ENMs. For general applications, we believe that parameters for large numbers of species and populations can be obtained from macroecological generalizations (e.g. allometric equations and ecogeographical rules), so our framework coupling ENMs with eco‐evolutionary models can be applied to achieve a more accurate picture of potential impacts from climate change and other threats to biodiversity.

Several metrics exists to evaluate the impact of publications and researchers, but most are based on citation counts, which usually fail to capture the temporal aspect of citations. Time to first citation represents a useful metric for research evaluation, and informs the speed at which scientific knowledge is disseminated through the scientific community. Understanding which factors affect such metrics is important as they impact resource allocation and career progression, besides influencing knowledge promotion across disciplines. Many ecological works rely on species identity, which is the ‘coin’ of taxonomy. Despite its importance, taxonomy is a discipline in crisis lacking staff, funds and prestige, which ultimately may affect the evaluation and dissemination of taxonomic works. We used a time-to-event analysis to investigate whether taxonomic, socioeconomic, and scientometric factors influence first citation speed across hundreds of ecological and taxonomic articles. Time to first citation differed greatly between these areas. Ecological studies were first cited much faster than taxonomic studies. Multitaxa articles received first citations earlier than studies focused on single major taxonomic groups. Article length and h-index among authors were negatively correlated with time to first citation, while the number of authors, number of countries, and Gross Domestic Product was unimportant. Knowledge dissemination is faster for lengthy, multitaxa, and ecological articles relative to their respective counterparts, as well as for articles with highly prolific authors. We stress that using several unrelated metrics is desirable when evaluating research from different–and even related–disciplines, particularly in the context of professional progression and grant allocation.

The oceanic anoxic events (OAEs) are characterized by enhanced accumulation of organic matter in marine sediments. However, there is still an ongoing debate regarding the interplay between production and preservation during these events. Moreover, few studies provide quantitative estimations of primary productivity and/or the amount of carbon preserved during the OAEs. Here, we used geochemical data from multiple wells located at the Espírito Santo Basin that cover the intervals of events OAE1d and OAE2 to provide quantitative estimates of preservation factors. Our results show enhanced preservation during OAEs compared to modern conditions and a stronger preservation during OAE1d compared to OAE2 in the Espírito Santo Basin. The amount of preserved carbon could reach up to 8.6% during OAE1d, depending on the productivity of the system. In addition, we show that such improvement in preservation is linked to the bottom water with low-O2 concentrations and not due to fast burial caused by high sedimentation rates. Our findings are extremally relevant for organic carbon and source rock modelling studies since model simulations need quantitative estimations.