Plant spectral diversity integrates functional and phylogenetic components of biodiversity and predicts ecosystem function
Nature Ecology and Evolution, ISSN: 2397-334X, Vol: 2, Issue: 6, Page: 976-982
2018
- 212Citations
- 455Captures
- 9Mentions
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations212
- Citation Indexes212
- 212
- CrossRef141
- Captures455
- Readers455
- 450
- Mentions9
- News Mentions6
- 6
- Blog Mentions2
- Blog2
- References1
- 1
Most Recent News
New technology has bright prospects for understanding plant biodiversity
Biologists get a new look at plant biodiversity and function with new imaging technology developed at the University of Alberta. "Biodiversity and ecosystem function are
Article Description
Biodiversity promotes ecosystem function as a consequence of functional differences among organisms that enable resource partitioning and facilitation. As the need for biodiversity assessments increases in the face of accelerated global change, novel approaches that are rapid, repeatable and scalable are critical, especially in ecosystems for which information about species identity and the number of species is difficult to acquire. Here, we present 'spectral diversity'-a spectroscopic index of the variability of electromagnetic radiation reflected from plants measured in the visible, near-infrared and short-wave infrared regions (400-2,400 nm). Using data collected from the Cedar Creek biodiversity experiment (Minnesota, USA), we provide evidence that the dissimilarity of species' leaf spectra increases with functional dissimilarity and evolutionary divergence time. Spectral diversity at the leaf level explains 51% of total variation in productivity-a proportion comparable to taxonomic (47%), functional (51%) or phylogenetic diversity (48%)-and performs similarly when calculated from high-resolution canopy image spectra. Spectral diversity is an emerging dimension of plant biodiversity that integrates trait variation within and across species even in the absence of taxonomic, functional, phylogenetic or abundance information, and has the potential to transform biodiversity assessment because of its scalability to remote sensing.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85046892676&origin=inward; http://dx.doi.org/10.1038/s41559-018-0551-1; http://www.ncbi.nlm.nih.gov/pubmed/29760440; https://www.nature.com/articles/s41559-018-0551-1; https://www.zora.uzh.ch/id/eprint/191029; http://dx.doi.org/10.5167/uzh-191029; https://dx.doi.org/10.5167/uzh-191029; https://www.zora.uzh.ch/id/eprint/191029/; https://dx.doi.org/10.1038/s41559-018-0551-1; https://www.zora.uzh.ch/id/eprint/191029/1/2018_Schweiger18_Plant_spectra_NEE.pdf
Springer Science and Business Media LLC
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know