Evolutionary Diversity Peaks at Mid-Elevations Along an Amazon-to-Andes Elevation Gradient

Elevation gradients present enigmatic diversity patterns, with trends often dependent on the dimension of diversity considered. However, focus is often on patterns of taxonomic diversity and interactions between diversity gradients and evolutionary factors, such as lineage age, are poorly understood. We combine forest census data with a genus level phylogeny representing tree ferns, gymnosperms, angiosperms, and an evolutionary depth of 382 million years, to investigate taxonomic and evolutionary diversity patterns across a long tropical montane forest elevation gradient on the Amazonian flank of the Peruvian Andes. We find that evolutionary diversity peaks at mid-elevations and contrasts with taxonomic richness, which is invariant from low to mid-elevation, but then decreases with elevation. We suggest that this trend interacts with variation in the evolutionary ages of lineages across elevation, with contrasting distribution trends between younger and older lineages. For example, while 53% of young lineages (originated by 10 million years ago) occur only below ∼1,750 m asl, just 13% of old lineages (originated by 110 million years ago) are restricted to below ∼1,750 m asl. Overall our results support an Environmental Crossroads hypothesis, whereby a mid-gradient mingling of distinct floras creates an evolutionary diversity in mid-elevation Andean forests that rivals that of the Amazonian lowlands.

Automatic reconstruction of skeletal structures from TLS forest scenes

Detailed information about 3D forest structure is vital in forest science for analyzing the spatio-temporal development of plants as well as precise harvest forecasting in forest industry. Up to now, the majority of methods focus on complete structural reconstruction of trees from multiple scans, which might not be a suitable starting point with respect to modeling forest scenes over larger areas. <br><br> For this reason, we propose a strategy to obtain skeletal structures of trees from single scans following a divide-and-conquer approach well-known from computer science. First, we split the range image into components representing surface patches and trace each component’s boundary, which is essential for our skeleton retrieval method. Therefore, we propose an extension to standard boundary tracing that takes a component’s interior depth discontinuities into account. Second, each component is processed separately: A 2D skeleton is obtained via the Voronoi Diagram and refined. Subsequently, a component is segmented into subsets of points depending on their proximity to skeleton nodes. Afterwards, the skeleton is split into paths and a Principal Curve is computed from each path’s point cluster in order to retrieve the component shape as a set of 3D polygonal lines. <br><br> Our method retrieves the intricate branching structure of components representing tree crown parts reliably and efficiently. The results are fitting with respect to a visual inspection. At present, results are fragments of tree skeletons, but it opens an attractive perspective to complete tree skeletons from skeletal parts, which we currently regard as future work.

Sub-pixel estimation of tree cover and bare surface densities using regression tree analysis

Sub-pixel analysis is capable of generating continuous fields, which represent the spatial variability of certain thematic classes. The aim of this work was to develop numerical models to represent the variability of tree cover and bare surfaces within the study area. This research was conducted in the riparian buffer within a watershed of the São Francisco River in the North of Minas Gerais, Brazil. IKONOS and Landsat TM imagery were used with the GUIDE algorithm to construct the models. The results were two index images derived with regression trees for the entire study area, one representing tree cover and the other representing bare surface. The use of non-parametric and non-linear regression tree models presented satisfactory results to characterize wetland, deciduous and savanna patterns of forest formation.

Accuracy of Regeneration Stocking Estimates: Tests with Simulated Data

A computer was used to generate points representing tree seedlings in an area of natural regeneration. These seedlings were than sampled and the per cent stocking calculated for 2 m × 2 m (milacre) plots. A systematic survey design was used, employing a wide variety of plot spacings. Groups of plots were included as well as single plots. For each spacing, repeated surveys were run and a standard error was estimated for the stocking level. Graphs were drawn to show the approximate sampling intensity required to estimate stocking to a given accuracy, for 10-ha and 40-ha sample areas.