Trends in ecology & evolution最新文献

We discuss the outcomes of our 16th horizon scan of issues that are novel or represent a considerable step-change and have the potential to substantially affect conservation of biological diversity in the coming decade. From an initial 96 topics, our international panel of 32 scientists and practitioners prioritised 15 issues. Technological advances are prominent, including metal and non-metal organic frameworks, deriving rare earth elements from macroalgae, synthetic gene drives in plants, and low-emission cement. We include new insights into accelerated impacts of changes to Antarctic ice masses and air and water quality. We hope that anticipating and mitigating negative impacts, and making best use of new opportunities related to these issues, will contribute to better outcomes for biological diversity.

The movement, distribution, and relative proportions of essential elements across the landscape should influence the structure and functioning of biological communities. Yet, our basic understanding of the spatial distribution of elements, particularly bioavailable elements, across landscapes is limited. Here, we propose a quantitative framework to study the causes and consequences of spatial patterns of elements. Specifically, we integrate distribution models, dissimilarity metrics, and spatial smoothing to predict how the distribution of bioavailable elements changes with spatial extent. Our community and landscape ecology perspective on elemental diversity highlights the characteristic relationships that emerge among elements in landscapes and that can be measured empirically to help us pinpoint ecosystem control points. This step forward provides a mechanistic link between community and ecosystem processes.

Habitat fragmentation is a major threat to biodiversity, but existing literature largely ignores naturally patchy ecosystems in favor of forests, where deforestation creates spatially distinct fragments. Here, we use savannas to highlight the problems with applying forest fragmentation principles to spatially patchy ecosystems. Identifying fragmentation using landscape functionality, specifically connectivity, enables better understanding of ecosystem dynamics. Tools and concepts from connectivity research are well suited to identifying barriers other than vegetation structure contributing to fragmentation. Opportunities exist to improve fragmentation mapping by combining remote-sensing data with field measurements related to connectivity to empirically test whether landscapes are functionally fragmented. Advancements in deep learning and increasingly accessible data open many possibilities for comprehensive maps of fragmentation.

Instruments attached to animals ('biologgers') have facilitated extensive discoveries about the patterns, causes, and consequences of animal behavior. Here, we present examples of how biologging can deepen our fundamental understanding of ecosystems and our applied understanding of global change impacts by enabling tests of ecological theory. Applying the iterative process of science to biologging has enabled a diverse set of insights, including social and experiential learning in long-distance migrants, state-dependent risk aversion in foraging predators, and resource abundance driving movement across taxa. Now, biologging is poised to tackle questions and refine ecological theories at increasing levels of complexity by integrating measurements from numerous individuals, merging datasets from multiple species and their environments, and spanning disciplines, including physiology, behavior and demography.

As biodiversity loss continues, targeted conservation interventions are increasingly necessary. Stemming species loss requires mechanistic understanding of the processes governing population dynamics. However, this information is unavailable for most animals because it requires data that are difficult to collect using traditional methods. Advances in animal tracking technology have generated an avalanche of high-resolution observations for a growing list of species around the globe. To date, most research using these data has focused on questions about animal behavior, with less emphasis on population processes. Here, we argue that tracking data are uniquely poised to bring powerful new insights to the urgent, global problem of halting species extinctions by revealing when, where, how, and why populations are changing.

The consumption of ethanol has frequently been seen as largely restricted to humans. Here, we take a broad eco-evolutionary approach to understanding ethanol's potential impact on the natural world. There is growing evidence that ethanol is present in many wild fruits, saps, and nectars and that ethanol ingestion offers benefits that favour adaptations for its use in multiple taxa. Explanations for ethanol consumption span both the nutritional and non-nutritional, with potential medicinal value or cognitive effects (with social-behavioural benefits) explored. We conclude that ethanol is ecologically relevant and that it has shaped the evolution of many species and structured symbiotic relationships among organisms, including plants, yeast, bacteria, insects, and mammals.

Invasive alien species negatively impact ecosystems, biodiversity, human societies, and economies. To prevent future invasions, it is crucial to understand both the ecological and the human and social factors determining whether a species is picked up, transported, and introduced beyond their native range. However, we often have little or no information on key human and social factors. Here, we explore how alien species introductions are shaped by a combination of ecological and human and social factors and highlight the potential of the emerging fields of conservation culturomics and iEcology for disentangling their relative importance. We argue that quantifying and assessing the relative importance of the human and social dimensions of alien species introductions can substantially improve our understanding of the invasion process.

Language barriers can severely hinder the advance of conservation science and its contribution to addressing the biodiversity crisis. We build a framework for understanding how language barriers can impede the evidence-based conservation of biodiversity in three ways: barriers to (i) the generation of evidence by non-native English speakers; (ii) the global synthesis of evidence scattered across different languages; and (iii) the application of English-language evidence to local decision making. We provide evidence, building on a growing body of literature, that quantifies the three consequences of language barriers in conservation. We also propose a checklist of solutions for reducing language barriers in conservation by addressing language disparities among scientists, promoting linguistic diversity in conservation, and making conservation science and its communication multilingual.