Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
941,149
result(s) for
"Drivers"
Sort by:
Anthropogenic Drivers of Ecosystem Change
This paper provides an overview of what the Millennium Ecosystem Assessment (MA) calls “indirect and direct drivers” of change in ecosystem services at a global level. The MA definition of a driver is any natural or human-induced factor that directly or indirectly causes a change in an ecosystem. A direct driver unequivocally influences ecosystem processes. An indirect driver operates more diffusely by altering one or more direct drivers. Global driving forces are categorized as demographic, economic, sociopolitical, cultural and religious, scientific and technological, and physical and biological. Drivers in all categories other than physical and biological are considered indirect. Important direct drivers include changes in climate, plant nutrient use, land conversion, and diseases and invasive species. This paper does not discuss natural drivers such as climate variability, extreme weather events, or volcanic eruptions.
Journal Article
Bus drivers
Introduces the work of the bus driver, who helps people by taking them where they want to go.
Book
Driver Acceptance of New Technology
This edited volume brings together the accumulating body of work on driver and operator acceptance of new technology. It covers the theory behind acceptance, how it can be measured and how it can be improved. Case studies are presented that provide data on driver acceptance for new and emerging vehicle technology.
eBook
Correction: Risk perceptions and behaviors concerning rural tourism and economic-political drivers of COVID-19 policy in 2020
[This corrects the article DOI: 10.1371/journal.pone.0299841.].
Journal Article
Dale Earnhardt Jr.
This title introduces readers to Dale Earnhardt Jr. Dale Jr. won NASCAR's biggest race, the Daytona 500, in 2004. Then he did it again in 2014.
Book
Data-based estimates of interannual sea-air CO.sub.2 flux variations 1957-2020 and their relation to environmental drivers
This study considers year-to-year and decadal variations in as well as secular trends of the sea-air CO.sub.2 flux over the 1957-2020 period, as constrained by the pCO.sub.2 measurements from the SOCATv2021 database. In a first step, we relate interannual anomalies in ocean-internal carbon sources and sinks to local interannual anomalies in sea surface temperature (SST), the temporal changes in SST (dSST/dt), and squared wind speed (u.sup.2 ), employing a multi-linear regression. In the tropical Pacific, we find interannual variability to be dominated by dSST/dt, as arising from variations in the upwelling of colder and more carbon-rich waters into the mixed layer. In the eastern upwelling zones as well as in circumpolar bands in the high latitudes of both hemispheres, we find sensitivity to wind speed, compatible with the entrainment of carbon-rich water during wind-driven deepening of the mixed layer and wind-driven upwelling. In the Southern Ocean, the secular increase in wind speed leads to a secular increase in the carbon source into the mixed layer, with an estimated reduction in the sink trend in the range of 17 % to 42 %. In a second step, we combined the result of the multi-linear regression and an explicitly interannual pCO.sub.2 -based additive correction into a \"hybrid\" estimate of the sea-air CO.sub.2 flux over the period 1957-2020. As a pCO.sub.2 mapping method, it combines (a) the ability of a regression to bridge data gaps and extrapolate into the early decades almost void of pCO.sub.2 data based on process-related observables and (b) the ability of an auto-regressive interpolation to follow signals even if not represented in the chosen set of explanatory variables. The \"hybrid\" estimate can be applied as an ocean flux prior for atmospheric CO.sub.2 inversions covering the whole period of atmospheric CO.sub.2 data since 1957.
Journal Article
The Multisensory Driver
This book is dedicated to furthering the design of ergonomic multisensory interfaces by highlighting recent evidence in this area emerging from the fast-growing field of cognitive neuroscience. It focuses primarily on two aspects of driver information-processing: multisensory interactions and the spatial distribution of attention in driving.
eBook