Co-located Collaborative Information-based Ideation through Embodied Cross-Surface Curation

We develop an embodied cross-surface curation environment to support co-located, collaborative information-based ideation. Information-based ideation (IBI) refers to tasks and activities in which people generate and develop significant new ideas while working with information. Curation is the process of gathering and assembling objects in order to express ideas. The linear media and separated screens of prior curation environments constrain expression. This research utilizes information composition of rich bookmarks as the medium of curation. Visual representation of elements and ability to combine them in a freeform, spatial manner mimics how objects appear and can be manipulated in the physical world. Metadata of rich bookmarks leverages capabilities of the WWW. We equip participants with personal IBI environments, each on a mobile device, as a base for contributing to curation on a larger, collaborative surface. We hypothesize that physical representations for the elements and assemblage of curation, layered with physical techniques of interaction, will facilitate co-located IBI. We hypothesize that consistent physical and spatial representations of information and means for manipulating rich bookmarks on and across personal and collaborative surfaces will support IBI. We hypothesize that the small size and weight of personal devices will facilitate participants shifting their attention from their own work to each other and collaboration. We evaluated the curation environment by inviting couples to participate in a home makeover design task in a living-room lab. We demonstrated that our embodied cross-surface curation environment supports creative thinking, facilitates communication, and stimulates engagement and creativity in collaborative IBI

Thermal optimality of net ecosystem exchange of carbon dioxide and underlying mechanisms

It is well established that individual organisms can acclimate and adapt to temperature to optimize their functioning. However, thermal optimization of ecosystems, as an assemblage of organisms, has not been examined at broad spatial and temporal scales. Here, we compiled data from 169 globally distributed sites of eddy covariance and quantified the temperature response functions of net ecosystem exchange (NEE), an ecosystem-level property, to determine whether NEE shows thermal optimality and to explore the underlying mechanisms. We found that the temperature response of NEE followed a peak curve, with the optimum temperature (corresponding to the maximum magnitude of NEE) being positively correlated with annual mean temperature over years and across sites. Shifts of the optimum temperature of NEE were mostly a result of temperature acclimation of gross primary productivity (upward shift of optimum temperature) rather than changes in the temperature sensitivity of ecosystem respiration. Ecosystem-level thermal optimality is a newly revealed ecosystem property, presumably reflecting associated evolutionary adaptation of organisms within ecosystems, and has the potential to significantly regulate ecosystemclimate change feedbacks. The thermal optimality of NEE has implications for understanding fundamental properties of ecosystems in changing environments and benchmarking global models.This is the publisher’s final pdf. The published article is copyrighted by New Phytologist Trust and can be found at: http://www.newphytologist.org/Keywords: Climate change, Temperature acclimation, Optimum temperature, Thermal optimality, Temperature adaptatio

Thermal optimality of net ecosystem exchange of carbon dioxide and underlying mechanisms

• It is well established that individual organisms can acclimate and adapt to temperature to optimize their functioning. However, thermal optimization of ecosystems, as an assemblage of organisms, has not been examined at broad spatial and temporal scales.• Here, we compiled data from 169 globally distributed sites of eddy covariance and quantified the temperature response functions of net ecosystem exchange (NEE), an ecosystem-level property, to determine whether NEE shows thermal optimality and to explore the underlying mechanisms.• We found that the temperature response of NEE followed a peak curve, with the optimum temperature (corresponding to the maximum magnitude of NEE) being positively correlated with annual mean temperature over years and across sites. Shifts of the optimum temperature of NEE were mostly a result of temperature acclimation of gross primary productivity (upward shift of optimum temperature) rather than changes in the temperature sensitivity of ecosystem respiration.• Ecosystem-level thermal optimality is a newly revealed ecosystem property, presumably reflecting associated evolutionary adaptation of organisms within ecosystems, and has the potential to significantly regulate ecosystem–climate change feedbacks. The thermal optimality of NEE has implications for understanding fundamental properties of ecosystems in changing environments and benchmarking global models