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Ecotron facilities allow accurate control of many environmental variables coupled with extensive monitoring of ecosystem processes. They therefore require multivariate perturbation of climate variables, close to what is observed in the field and projections for the future. Here, we present a new method for creating realistic climate forcing for manipulation experiments and apply it to the UHasselt Ecotron experiment. The new methodology uses data derived from the best available regional climate model projection and consists of generating climate forcing along a gradient representative of increasingly high global mean air temperature anomalies. We first identified the best-performing regional climate model simulation for the ecotron site from the Coordinated Regional Downscaling Experiment in the European domain (EURO-CORDEX) ensemble based on two criteria: (i) highest skill compared to observations from a nearby weather station and (ii) representativeness of the multi-model mean in future projections. The time window is subsequently selected from the model projection for each ecotron unit based on the global mean air temperature of the driving global climate model. The ecotron units are forced with 3-hourly output from the projections of the 5-year period in which the global mean air temperature crosses the predefined values. With the new approach, Ecotron facilities become able to assess ecosystem responses on changing climatic conditions, while accounting for the co-variation between climatic variables and their projection in variability, well representing possible compound events. The presented methodology can also be applied to other manipulation experiments, aiming at investigating ecosystem responses to realistic future climate change.
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http://dx.doi.org/10.1007/s00484-020-01951-8 | DOI Listing |
Int J Biometeorol
September 2025
Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Plant viewing activities, which encompass the enjoyment of seasonal plant phenomena such as flowering and autumn leaf coloration, have become popular worldwide. Plant viewing activities are increasingly challenged by climate change, as key components like plant phenology and climate comfort are highly sensitive to global warming. However, few studies have explored the impact of climate change on viewing activities, particularly from an integrated, multi-factor perspective.
View Article and Find Full Text PDFMar Life Sci Technol
August 2025
Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101 China.
Unlabelled: Biological invasions represent one of the main anthropogenic drivers of global change with a substantial impact on biodiversity. Traditional studies predict invasion risk based on the correlation between species' distribution and environmental factors, with little attention to the potential contribution of physiological factors. In this study, we incorporated temperature-dependent sex determination (TSD) and sex-ratio data into species distribution models (SDMs) to assess the current and future suitable habitats for the world's worst invasive reptile species, the pond slider turtle ().
View Article and Find Full Text PDFGlob Bioeth
September 2025
EXUS AI Labs, Athens, Greece.
The ethical complexities of technological advancement are growing as fields such as climate adaptation, microbiology, healthcare, robotics, and artificial intelligence (AI) evolve rapidly. While these technologies offer innovative solutions to global challenges, they raise significant ethical concerns. In climate adaptation, AI-driven models and remote sensing technologies prompt questions about data privacy, environmental justice, and equitable access, especially for vulnerable populations.
View Article and Find Full Text PDFDialogues Health
December 2025
School of Public Health, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur, Chengalpattu 603203, India.
Purpose: This short communication explores how identity erosion among Particularly Vulnerable Tribal Groups (PVTGs) in the Nilgiris district of Tamil Nadu, India, impacts their wellness and ecological stewardship. It aims to highlight culturally specific disruptions across generations and recommend policy responses that are identity-affirming and context-sensitive.
Methods: This exploratory qualitative study used an epistemological approach to understand tribal perceptions through in-depth interviews and focus group discussions with elders and youth from select members of the PVTGs in the Nilgiris.
Data Brief
October 2025
INRAE, US ODR, Castanet-Tolosan F-31326, France.
Lots of agricultural or environmental studies, researches, policy evaluations are based on Land Parcel Information System (LPIS), combined with other pedo-climatic or agro-environmental data. This is the case for example for different kinds of models, as crop models which have been used widely in France to assess ecosystemic services or carbon storage, agent-based models for watershed analyses or for models assessing erosion risks. However, integration of pedo-climatic and agro-environmental data at a high-resolution level remains challenging.
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