LEADER 04853nam 2200553 450 001 9910508309103321 005 20221223133947.0 010 $a1-00-316276-2 010 $a1-000-43114-2 035 $a(CKB)5590000000630118 035 $a(NjHacI)995590000000630118 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/72719 035 $a(MiAaPQ)EBC7245693 035 $a(Au-PeEL)EBL7245693 035 $a(EXLCZ)995590000000630118 100 $a20221223d2021 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aQuaternary Vegetation Dynamics $ethe African pollen database /$fedited by Ju?rgen Runge [and three others] 210 $cTaylor & Francis$d2021 210 1$aLondon :$cTaylor & Francis,$d2021. 215 $a1 online resource (xviii, 417 pages) $cillustrations 225 1 $aPalaeoecology of Africa 311 $a0-367-75508-4 311 $a1-003-16276-2 330 $aThis book celebrates the relaunch of the African Pollen Database, presents state-of-the-art of modern and ancient pollen data from sub-Saharan Africa, and promotes Open Access science. Pollen grains are powerful tools for the study of past vegetation dynamics because they preserve well within sedimentary deposits and have a huge diversity in ornamentation that allows different taxa to be determined. The reconstruction of past vegetation from the examination of ancient pollen records thus can be used to characterize the nature of past landscapes (e.g. abundance of forests vs. grasslands), provide insights into changes in biodiversity, and gain empirical evidence of vegetation response to climatic change and human activity. In this, the 35th Volume of "Palaeoecology of Africa", we bring together new data and extensive synthetic reviews to provide novel insights into the relationships between human evolution, human activity, climate change and vegetation dynamics during the Quaternary, the last 2.6 million years. Current and ongoing climate and land-use change is exerting pressure on modern vegetation formations and threatening the livelihoods and wellbeing of many peoples in Africa. In this book the focus is on the Quaternary because it is during this geological period that the modern vegetation formations developed into their current configurations against a backdrop of high magnitude global climate change (glacial-interglacial cycles), human evolution, and a growing human land-use footprint. In this book the latest information is presented and collated from around the African continent to parameterize past vegetation states, identify the drivers of vegetation change, and assess the vegetation resilience to change. To achieve this research from two broad themes are covered: (i) the present is the key to the past (i.e. studies which improve our understanding of modern environments so that we can better interpret evidence from the past), and (ii) the past is the key to the future (i.e. studies which unlock information on how and why vegetation changed in the past so one can better anticipate trajectories of future change). This Open Access book will provide a strong foundation for future research exploring past ecological, environmental and climatic change within Africa and the surrounding islands. The book is organized regionally (covering western, eastern, central, and southern Africa) and it contains specialized articles focused on particular topics (such as modern pollen-vegetation relationships and fire as a driver of vegetation change), as well as regional and pan-African syntheses drawing together decades of research to assess key scientific questions (including the role of climate in driving vegetation change and the role of vegetation change in human evolution). These articles will be useful to students and teachers from high school to the highest level of university who are interested in the origins and dynamics of vegetation in Africa. Furthermore, it is also meant to provide societally relevant information that can act as an inspiration for the development of sustainable management practices for the future. 410 0$aPalaeoecology of Africa Series 517 $aQuaternary Vegetation Dynamics 606 $aPaleoecology 606 $aPaleoecology$zAfrica 606 $aVegetation dynamics 610 $aclimate change 610 $aopen access 610 $avegetation dynamics 615 0$aPaleoecology. 615 0$aPaleoecology 615 0$aVegetation dynamics. 676 $a560.45 700 $aRunge$b Jürgen$4edt$0419263 702 $aRunge$b Ju?rgen 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910508309103321 996 $aQuaternary Vegetation Dynamics$93361611 997 $aUNINA LEADER 03060nam 2200433z- 450 001 9910136807703321 005 20210212 035 $a(CKB)3710000000631070 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/61038 035 $a(oapen)doab61038 035 $a(EXLCZ)993710000000631070 100 $a20202102d2016 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aToward a Unified View of the Speed-Accuracy Trade-Off: Behaviour, Neurophysiology and Modelling 210 $cFrontiers Media SA$d2016 215 $a1 online resource (160 p.) 225 1 $aFrontiers Research Topics 311 08$a2-88919-756-5 330 $aEveryone is familiar with the speed-accuracy trade-off (SAT). To make good choices, we need to balance the conflicting demands of fast and accurate decision making. After all, hasty decisions often lead to poor choices, but accurate decisions may be useless if they take too long. This notion is intuitive because it reflects a fundamental aspect of cognition: not only do we deliberate over the evidence for decisions, but we can control that deliberative process. This control raises many questions for the study of choice behaviour and executive function. For example, how do we figure out the appropriate balance between speed and accuracy on a given task? How do we impose that balance on our decisions, and what is its neural basis? Researchers have addressed these and related questions for decades, using a variety of methods and offering answers at different levels of abstraction. Given this diverse methodology, our aim is to provide a unified view of the SAT. Extensive analysis of choice behaviour suggests that we make decisions by accumulating evidence until some criterion is reached. Thus, adjusting the criterion controls how long we accumulate evidence and therefore the speed and accuracy of decisions. This simple framework provides the platform for our unified view. In the pages that follow, leading experts in decision neuroscience consider the history of SAT research, strategies for determining the optimal balance between speed and accuracy, conditions under which this seemingly ubiquitous phenomenon breaks down, and the neural mechanisms that may implement the computations of our unifying framework. 517 $aToward a Unified View of the Speed-Accuracy Trade-Off 606 $aNeurosciences$2bicssc 610 $abounded integration 610 $aDecision Making 610 $adecision neuroscience 610 $aNeural mechanisms of cognition 610 $aSpeed-accuracy trade-off 615 7$aNeurosciences 700 $aRichard P. Heitz$4auth$01287761 702 $aDominic Standage$4auth 702 $aDa-Hui Wang$4auth 702 $aPatrick Simen$4auth 906 $aBOOK 912 $a9910136807703321 996 $aToward a Unified View of the Speed-Accuracy Trade-Off: Behaviour, Neurophysiology and Modelling$93020362 997 $aUNINA