On the challenges of using field spectroscopy to measure the impact of soil type on leaf traits

Working with 24 chemical and physical leaf traits of six European tree species growing on strongly contrasting soil types (i.e. deep alluvium versus nearby shallow chalk), we asked 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.

Nunes, M.H; Davey, M.P.; Coomes, D.A.
2017
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Remotely sensed indicators of forest conservation status: Case study from a Natura 2000 site in southern Portugal

We test the complementarity and joint effectiveness of airborne multispectral and laser scanning (lidar) in providing robust indicators of conservation status.Principal forest types and other land covers are mapped to an accuracy of up to 70% (11 land cover classes) and 81% (5 classes) by fusing the two remote sensing datasets, results that are superior to using either one alone.

Simonson, W.D.; Allen, H.D.; Coomes, D.A.
2013
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Testing the metabolic theory of ecology

An argument that critical evaluation of MTE also requires strong tests of both its theoretical foundations and simplifying assumptions. To this end, we synthesise available information and find that MTE’s original derivations require additional assumptions to obtain the full scope of attendant predictions.

Price, C.A. et al.
2012
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Optical and SAR sensor synergies for forest and land cover mapping in a tropical site in West Africa

Classification of a study area in West Africa we integrated the optical sensors Landsat Thematic Mapper (TM) and the Advanced Visible and Near Infrared Radio meter type 2 (AVNIR-2) with the Phased Arrayed L-band SAR (PALSAR) sensor, the latter two on-board the Advanced Land Observation Satellite (ALOS), using traditional Maximum Likelihood (MLC) and Neural Networks (NN) classifiers.

Laurin, G.V. et al.
2012
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TRY – a global database of plant traits

Presentation of the global database initiative named TRY, which has united a wide range of the plant trait research community worldwide and gained an unprecedented buy-in of trait data: so far 93 trait databases have been contributed.

KATTGE, J. et al.
2011
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Mapping community change in modified landscapes

We convert point observations of more than 28,000 beetles from 851 species into a continuous biodiversity surface representing the similarity of ecological communities relative to that of pristine forest, effectively integrating on-the-ground biodiversity data with remotely sensed landcover data to predict the magnitude of community change in a modified landscape.

Ewers, R.M.; Kapos, V.; Coomes, D.A.; Lafortezza, R.; Didham, R.K.
2009
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Testing the Metabolic Scaling Theory of tree growth

Metabolic Scaling Theory (MST) predicts a ‘universal scaling law’ of tree growth. Proponents claim that MST has strong empirical support: the size-dependent growth curves of 40 out of 45 species in a Costa Rican forest have scaling exponents indistinguishable from the MST prediction. This paper shows the Costa Rican data has been misinterpreted. Using Standardized MajorAxis (SMA) line-fitting to estimate scaling exponents, we find that four out of five species represented have scaling exponents that deviate significantly from the prediction.

Coomes, D.A.; Allen, R.B.
2009
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