Monitoring Forest Damage with Mass Spectrometry-Based Metabolomics Methods
Monitoring Forest Damage with Mass Spectrometry-Based Metabolomics Methods
Buch
- Herausgeber: Carla Antonio, Dominic M Desiderio, Joseph A Loo
- Wiley, 11/2023
- Einband: Gebunden, HC gerader Rücken kaschiert
- Sprache: Englisch
- ISBN-13: 9781119868729
- Bestellnummer: 11558304
- Umfang: 464 Seiten
- Gewicht: 819 g
- Maße: 235 x 157 mm
- Stärke: 29 mm
- Erscheinungstermin: 21.11.2023
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
Understand forest responses to climate change with this timely introductionForests are among the most critical parts of our global ecosystem, responsible for the air we breathe, home to most of the earth's species, and crucial sources of food and raw materials. Forest development is therefore one of the most important areas of ecological study, and damage to forests is potentially existential. Metabolomics, a toolkit which accrues data on interactions between genetic and environmental conditions, promises to advance our understanding of how these vital ecosystems respond to dramatic changes in climate and environment.
Monitoring Forest Damage with Mass Spectrometry-Based Metabolomics Methods offers a thorough, accessible discussion of metabolomic techniques and their applications in forest tree research. It promises to enrich the reader's understanding of how forests are being transformed by globe-spanning changes, and to arm researchers with tools for reacting to these potentially epochal developments.
Monitoring Forest Damage with Mass Spectrometry-Based Metabolomics Methods readers will also find:
Analysis of specialized secondary metabolites such as phytohormones
Detailed discussion of ecologically important tree genera such as Pinus, Populus, Quercus, and many more
Supplementary materials related to study design, sample preparation, and instrumental analysis protocols
Monitoring Forest Damage with Mass Spectrometry-Based Metabolomics Methods is ideal for researchers in analytical chemistry, mass spectrometry, metabolomics, forest research, the life sciences, and all other related fields.