Combatting global grassland degradation
Grasslands are under severe threat from ongoing degradation, undermining their capacity to
support biodiversity, ecosystem services and human well-being. Yet, grasslands are largely …
support biodiversity, ecosystem services and human well-being. Yet, grasslands are largely …
NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms
Abstract The 2017–2027 National Academies' Decadal Survey, Thriving on Our Changing
Planet, recommended Surface Biology and Geology (SBG) as a “Designated Targeted …
Planet, recommended Surface Biology and Geology (SBG) as a “Designated Targeted …
DNA barcoding, an effective tool for species identification: a review
DNA barcoding is a powerful taxonomic tool to identify and discover species. DNA
barcoding utilizes one or more standardized short DNA regions for taxon identification. With …
barcoding utilizes one or more standardized short DNA regions for taxon identification. With …
Scaling‐up biodiversity‐ecosystem functioning research
A rich body of knowledge links biodiversity to ecosystem functioning (BEF), but it is primarily
focused on small scales. We review the current theory and identify six expectations for scale …
focused on small scales. We review the current theory and identify six expectations for scale …
Priority list of biodiversity metrics to observe from space
Monitoring global biodiversity from space through remotely sensing geospatial patterns has
high potential to add to our knowledge acquired by field observation. Although a framework …
high potential to add to our knowledge acquired by field observation. Although a framework …
A framework for the detection and attribution of biodiversity change
The causes of biodiversity change are of great scientific interest and central to policy efforts
aimed at meeting biodiversity targets. Changes in species diversity and high rates of …
aimed at meeting biodiversity targets. Changes in species diversity and high rates of …
Application of machine learning algorithms in plant breeding: predicting yield from hyperspectral reflectance in soybean
Recent substantial advances in high-throughput field phenoty** have provided plant
breeders with affordable and efficient tools for evaluating a large number of genotypes for …
breeders with affordable and efficient tools for evaluating a large number of genotypes for …
Remote sensing of terrestrial plant biodiversity
Biodiversity is essential to healthy ecosystem function, influencing productivity and
resilience to disturbance. Biodiversity loss endangers essential ecosystem services and …
resilience to disturbance. Biodiversity loss endangers essential ecosystem services and …
A best-practice guide to predicting plant traits from leaf-level hyperspectral data using partial least squares regression
Partial least squares regression (PLSR) modelling is a statistical technique for correlating
datasets, and involves the fitting of a linear regression between two matrices. One …
datasets, and involves the fitting of a linear regression between two matrices. One …
Diversification, adaptation, and community assembly of the American oaks (Quercus), a model clade for integrating ecology and evolution
J Cavender‐Bares - New Phytologist, 2019 - Wiley Online Library
Contents Summary 669 I. Model clades for the study and integration of ecology and
evolution 670 II. Oaks: an important model clade 671 III. Insights from the history of the …
evolution 670 II. Oaks: an important model clade 671 III. Insights from the history of the …