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The combination of experimental and a priori calculated data results in empirical rules for the energies of the sputtered and reflected species, which allow an estimate of the energy input during sputter-deposition for every given elemental film material.
Leaf-out dates of species averaged across sites well reflected species leaf-out dates at each site (mean R 2 = 0.80; see Fig. 3 in which leaf-out dates averaged across sites are regressed against observed leaf-out dates at each site).
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Group composition reflected species-specific social, physiological and foraging constraints, as well as the importance of predation risk.
Such negative correlations may reflect species' adaptability to environment changes, thereby reducing the extinction risk.
CBA employs continuously variable spatial surfaces representing habitat quality and habitat permeability that reflect species' habitat preferences and movement abilities respectively.
Our results point towards topographic niche breadth at the smaller scales and stem height, possibly reflecting species' dispersal potential, at the continental scale as important determinants of commonness.
Remote sensing-based land cover classifications should also reflect species differences for this area if the classification map is used in estimating NPP with an LUE model.
If the dominant conformations of two species are similar, they can cross-seed each other; on the other hand, if they are sufficiently different, they will grow into different fibrils, reflecting species barriers.
Input data comprise a series of triplets reflecting species, size (diameter at breast height, 1.3 m above ground) and stocking (N/ha) of each tree measured on a field plot.
While the absolute scaling of the landscape-derived rarefaction does not reflect species loss at the stand-level because the combined curve reflects all rare species in the landscape, the relative species loss derived from this curve may serve as credible benchmark for species loss at the stand level following current stump harvesting practices.
We created a flexible simulation environment to study the response of detection-based population indices under a wide variety of conditions meant to reflect species life history and study design.
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