[Pdf/ePub] Plant Functional Ecology: From Organ

Plant Functional Ecology: From Organ to Ecosystem by Nianpeng He, Guirui Yu, Congcong Liu, Ying Li, Ruili Wang

• Plant Functional Ecology: From Organ to Ecosystem
• Nianpeng He, Guirui Yu, Congcong Liu, Ying Li, Ruili Wang
• Page: 0
• Format: pdf, ePub, mobi, fb2
• ISBN: 9789819682645
• Publisher: Springer-Verlag New York, LLC

Download Plant Functional Ecology: From Organ to Ecosystem

Free google ebooks download Plant Functional Ecology: From Organ to Ecosystem 9789819682645 English version

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.

Plant energetics and the synthesis of population and ecosystem .
studies, is laid out in Michel Loreau's book, From Popula- tions to . Indeed, the rise of plant functional ecology mirrors the growth of ecosystem.
Scientific Disciplines Represented at ABRCMS
Plant Biology - The study of plant life involving every aspect of the . organ system anatomy. Evolution and Developmental Biology - The study of the .
Integrating above‐ and below‐ground phenology for earth‐system .
However, patterns across functional traits, organs and organisms are harder to parameterise than leaf phenology and so are represented more .
Diversity | Special Issue : Advances in Functional Ecology - MDPI
In this Special Issue dedicated to “Plant Functional Traits and Functional Diversity”, we are calling for innovative insights, original research papers, .
37.1 Ecology for Ecosystems - Biology for AP® Courses | OpenStax
For example, in a meadow ecosystem, plants may support a grazing . This book may not be used in the training of large language models .
[PDF] BIOLOGY - CBSE Academic
Seed germination; phases of plant growth and plant growth rate; conditions of growth; . hotspots, endangered organisms, extinction, Red Data Book, Sacred Groves .
Leaf-level coordination principles propagate to the ecosystem scale
Decades of research have identified trade-offs and coordination between functional traits at the plant and organ levels that are explained .
Functional Ecology now a fully open access journal - BES
Functional Ecology (FE) publishes papers that significantly advance our mechanistic understanding of ecological patterns and processes from .

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