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Predicting how species will respond to climate change is a growing field in marine ecology, yet knowledge of how to incorporate the uncertainty from future climate data into these predictions remains a significant challenge. To help overcome it, this review separates climate uncertainty into its three components (scenario uncertainty, model uncertainty, and internal model variability) and identifies four criteria that constitute a thorough interpretation of an ecological response to climate change in relation to these parts (awareness, access, incorporation, communication). Through a literature review, the extent to which the marine ecology community has addressed these criteria in their predictions was assessed. Despite a high awareness of climate uncertainty, articles favoured the most severe emission scenario, and only a subset of climate models were used as input into ecological analyses. In the case of sea surface temperature, these models can have projections unrepresentative against a larger ensemble mean. Moreover, 91% of studies failed to incorporate the internal variability of a climate model into results. We explored the influence that the choice of emission scenario, climate model, and model realisation can have when predicting the future distribution of the pelagic fish, . Future distributions were highly influenced by the choice of climate model, and in some cases, internal variability was important in determining the direction and severity of the distribution change. Increased clarity and availability of processed climate data would facilitate more comprehensive explorations of climate uncertainty, and increase in the quality and standard of marine prediction studies.
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http://dx.doi.org/10.1007/s00227-017-3239-1 | DOI Listing |
Understanding the spatial distribution of rare species is fundamental to biodiversity conservation. The black-necked crane (), a flagship species of alpine wetlands and a first-class nationally protected species in China, serves as an important indicator for ecosystem health. Based on the had data and ecological environment data, this study used the Maximum Entropy model (MaxEnt) and Random Forest model (RF) to predict the suitable distribution area of the black-necked crane.
View Article and Find Full Text PDFNPJ Clim Action
September 2025
The Partnership in Education, Duquesne University; Pittsburgh, Pittsburgh, PA USA.
Teens are experiencing an increase in the incidence of anxiety and depression. Climate change adds uncertainty. Dire predictions and unknown impacts contribute to teens' worldview, increasing concerns that add to their normal stressors and anxiety; and for some, this becomes overwhelming.
View Article and Find Full Text PDFFront Plant Sci
August 2025
School of Biological Sciences, The University of Western Australia, Perth, Australia.
Agriculture is extremely vulnerable to climate change and crop production is severely hampered by climate extremes. Not only does it cost growers over US$170Bln in lost production, but it also has major implications for global food security. In this study, we argue that, under current climate scenarios, agriculture in the 21 century will become saline, severely limiting (or even making impossible) the use of traditional cereal crops for human caloric intake.
View Article and Find Full Text PDFJ Environ Manage
September 2025
School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran.
Agricultural supply chains face significant challenges in achieving food security and sustainability, particularly due to climate change and waste production. Effectively managing these supply chains, especially in the context of uncertainties, is crucial for optimizing resource use and minimizing waste. This research develops a multi-objective optimization for designing a sustainable and responsive closed-loop agricultural supply chain network, focusing on jujube products under uncertain conditions.
View Article and Find Full Text PDFPLoS One
September 2025
Electrical Engineering Determent, Faculty of Engineering, Minia University, Minia, Egypt.
Renewable energy systems are at the core of global efforts to reduce greenhouse gas (GHG) emissions and to combat climate change. Focusing on the role of energy storage in enhancing dependability and efficiency, this paper investigates the design and optimization of a completely sustainable hybrid energy system. Furthermore, hybrid storage systems have been used to evaluate their viability and cost-benefits.
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