Articles | Volume 14, issue 13
https://doi.org/10.5194/bg-14-3371-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-14-3371-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
14 Jul 2017
Research article |
| 14 Jul 2017
On the challenges of using field spectroscopy to measure the impact of soil type on leaf traits
Matheus H. Nunes
Department of Plant Sciences, University of Cambridge, CB2 3EA, UK
Matthew P. Davey
Department of Plant Sciences, University of Cambridge, CB2 3EA, UK
Department of Plant Sciences, University of Cambridge, CB2 3EA, UK
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Cited
18 citations as recorded by crossref.
- Predicting leaf traits of temperate broadleaf deciduous trees from hyperspectral reflectance: can a general model be applied across a growing season? L. Chen et al. 10.1016/j.rse.2021.112767
- Reflectance spectroscopy allows rapid, accurate and non‐destructive estimates of functional traits from pressed leaves S. Kothari et al. 10.1111/2041-210X.13958
- Spectroscopy can predict key leaf traits associated with source–sink balance and carbon–nitrogen status K. Ely et al. 10.1093/jxb/erz061
- Characterizing seasonal variation in foliar biochemistry with airborne imaging spectroscopy A. Chlus & P. Townsend 10.1016/j.rse.2022.113023
- Imaging spectroscopy reveals the effects of topography and logging on the leaf chemistry of tropical forest canopy trees T. Swinfield et al. 10.1111/gcb.14903
- Linking leaf dark respiration to leaf traits and reflectance spectroscopy across diverse forest types F. Wu et al. 10.1111/nph.20267
- Forest Leaf Mass per Area (LMA) through the Eye of Optical Remote Sensing: A Review and Future Outlook T. Gara et al. 10.3390/rs13173352
- Spectral subdomains and prior estimation of leaf structure improves PROSPECT inversion on reflectance or transmittance alone L. Spafford et al. 10.1016/j.rse.2020.112176
- Towards comparable assessment of the soil nutrient status across scales—Review and development of nutrient metrics K. Van Sundert et al. 10.1111/gcb.14802
- Characterizing foliar phenolic compounds and their absorption features in temperate forests using leaf spectroscopy R. Xie et al. 10.1016/j.isprsjprs.2024.05.014
- Light scattering in stacked mesophyll cells results in similarity characteristic of solar spectral reflectance and transmittance of natural leaves K. Xu & H. Ye 10.1038/s41598-023-31718-1
- A non-destructive method to quantify the nutritional status of Cannabis sativa L. using in situ hyperspectral imaging in combination with chemometrics T. Schober et al. 10.1016/j.compag.2024.108656
- Resilience of Spanish forests to recent droughts and climate change S. Khoury & D. Coomes 10.1111/gcb.15268
- Predicting leaf traits across functional groups using reflectance spectroscopy S. Kothari et al. 10.1111/nph.18713
- Rapid estimates of leaf litter chemistry using reflectance spectroscopy S. Kothari et al. 10.1139/cjfr-2023-0280
- Changes in leaf functional traits of rainforest canopy trees associated with an El Niño event in Borneo M. Nunes et al. 10.1088/1748-9326/ab2eae
- Leaf spectroscopy reveals divergent inter‐ and intra‐species foliar trait covariation and trait–environment relationships across NEON domains Z. Wang et al. 10.1111/nph.18204
- The influence of mineral content on spectral features of vine leaves A. Thum et al. 10.1080/01431161.2020.1798547
18 citations as recorded by crossref.
- Predicting leaf traits of temperate broadleaf deciduous trees from hyperspectral reflectance: can a general model be applied across a growing season? L. Chen et al. 10.1016/j.rse.2021.112767
- Reflectance spectroscopy allows rapid, accurate and non‐destructive estimates of functional traits from pressed leaves S. Kothari et al. 10.1111/2041-210X.13958
- Spectroscopy can predict key leaf traits associated with source–sink balance and carbon–nitrogen status K. Ely et al. 10.1093/jxb/erz061
- Characterizing seasonal variation in foliar biochemistry with airborne imaging spectroscopy A. Chlus & P. Townsend 10.1016/j.rse.2022.113023
- Imaging spectroscopy reveals the effects of topography and logging on the leaf chemistry of tropical forest canopy trees T. Swinfield et al. 10.1111/gcb.14903
- Linking leaf dark respiration to leaf traits and reflectance spectroscopy across diverse forest types F. Wu et al. 10.1111/nph.20267
- Forest Leaf Mass per Area (LMA) through the Eye of Optical Remote Sensing: A Review and Future Outlook T. Gara et al. 10.3390/rs13173352
- Spectral subdomains and prior estimation of leaf structure improves PROSPECT inversion on reflectance or transmittance alone L. Spafford et al. 10.1016/j.rse.2020.112176
- Towards comparable assessment of the soil nutrient status across scales—Review and development of nutrient metrics K. Van Sundert et al. 10.1111/gcb.14802
- Characterizing foliar phenolic compounds and their absorption features in temperate forests using leaf spectroscopy R. Xie et al. 10.1016/j.isprsjprs.2024.05.014
- Light scattering in stacked mesophyll cells results in similarity characteristic of solar spectral reflectance and transmittance of natural leaves K. Xu & H. Ye 10.1038/s41598-023-31718-1
- A non-destructive method to quantify the nutritional status of Cannabis sativa L. using in situ hyperspectral imaging in combination with chemometrics T. Schober et al. 10.1016/j.compag.2024.108656
- Resilience of Spanish forests to recent droughts and climate change S. Khoury & D. Coomes 10.1111/gcb.15268
- Predicting leaf traits across functional groups using reflectance spectroscopy S. Kothari et al. 10.1111/nph.18713
- Rapid estimates of leaf litter chemistry using reflectance spectroscopy S. Kothari et al. 10.1139/cjfr-2023-0280
- Changes in leaf functional traits of rainforest canopy trees associated with an El Niño event in Borneo M. Nunes et al. 10.1088/1748-9326/ab2eae
- Leaf spectroscopy reveals divergent inter‐ and intra‐species foliar trait covariation and trait–environment relationships across NEON domains Z. Wang et al. 10.1111/nph.18204
- The influence of mineral content on spectral features of vine leaves A. Thum et al. 10.1080/01431161.2020.1798547
Latest update: 26 Dec 2024
Short summary
The paper investigates whether variability in leaf traits is greater between tree species or soil type and whether field spectroscopy is effective at predicting intraspecific variation in leaf traits as well as interspecific differences. The influences of species identity on traits were generally much stronger than within-species differences related to soil type. This study demonstrates the value of spectroscopy, but highlights problems with predicting within-species variation indirectly.
The paper investigates whether variability in leaf traits is greater between tree species or...
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