Ruili Wang – författare

This two-volume set, LNAI 9651 and 9652, constitutes thethoroughly refereed proceedings of the 20th Pacific-Asia Conference on Advancesin Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, NewZealand, in April 2016.

This two-volume set, LNAI 9651 and 9652, constitutes thethoroughly refereed proceedings of the 20th Pacific-Asia Conference on Advancesin Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, NewZealand, in April 2016.

This book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2016, held in conjunction with PAKDD, the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining in Auckland, New Zealand, in April 2016.

The 23 revised papers presented were carefully reviewed and selected from 38 submissions. The workshops affiliated with PAKDD 2016 include: Biologically Inspired Data Mining Techniques, BDM; Machine Learning for Sensory Data Analysis, MLSDA; Predictive Analytics for Critical Care, PACC; as well as Data Mining in Business and Finance, WDMBF.

This book provides a comprehensive exploration of plant functional traits and their critical role in understanding and predicting ecosystem functions in response to environmental changes. By bridging the gap between traditional ecological research and emerging macro-ecological technologies, this book offers an in-depth understanding of how functional traits at various levels, from organs to entire ecosystems, can be utilized to address complex ecological challenges, including global change.

The chapters cover a wide range of topics essential to the field of ecology, including the development and application of plant functional traits, the scaling of traits from individual plants to communities, and the integration of these traits into advanced models and remote sensing technologies. Novel frameworks, such as plant community traits, ecosystem traits (ESTs), and plant trait networks (PTNs) are discussed, providing new ways to link species-level traits with ecosystem processes. These concepts are pivotal in expanding the application of trait-based ecology, allowing for more accurate predictions of ecosystem productivity, community assembly, and biodiversity patterns on a regional and global scale. The book also addresses the challenge of linking leaf and root traits to ecosystem functions, offering insights into how these traits can be scaled up and used to understand the adaptation strategies of plants in complex environments.

Targeted at undergraduate and graduate students and researchers in ecology, this book is ideal for those seeking both fundamental and advanced knowledge of trait-based research in ecology. Offering valuable insights and practical frameworks that are essential for tackling the ecological challenges, the book is a must-read for anyone interested in the integration of macroecology, geography, and remote sensing to solve current regional ecological problems and global change.