Visualizing Distributions from Multi-Return Lidar Data to Understand Forest Structure

Abstract

Spatially distributed probability density functions (pdfs) are becoming more relevant to Earth scientists and ecologists because of stochastic models and new sensors that provide numerous realizations or data points per unit area. One source of these data is from multi-return airborne lidar, a type of laser that records multiple returns for each pulse of light sent towards the ground. Data from multi-return lidar is a vital tool in helping us understand the structure of forest canopies over large extents. This paper presents visualization tools to allow scientists to rapidly explore, interpret and discover characteristic distributions within the entire spatial field. The major contribution of this work is a paradigm shift which allows ecologists to think of and analyse their data in terms of full distributions, not just summary statistics. The tools allow scientists to depart from traditional parametric statistical analyses and to associate multimodal distribution characteristics to forest structures. Information on the modality and shape of distributions, previously ignored, can now be visualized as well. Examples are given using data from High Island, southeast Alaska.     

Water-body preferences of dominant calanoid copepod species in the Angola-Benguela frontal zone

The distribution of five dominant calanoid copepods was related to different water masses in the Angola-Benguela Front system. Five water bodies were identified by principal component analysis, on the basis of abiotic parameter such as temperature, salinity, dissolved oxygen, phosphate, silicate, nitrate and nitrite. These parameters were reduced to single factors and arranged along two principal component axes. The copepod species incuded females and copepodites C5 of Calanoides carinatus and females of Metridia lucens, Centropages brachiatus, Nannocalanus minor and Aetideopsis carinata. The water bodies identified in the frontal system were related to currents, upwelling processes, an oxygen minimum layer and biological modification. The different copepod species, as well as the two ontogenetic stages of C. carinatus, showed clear preference for specific water bodies, and their behavioural and physiological adaptations to the environment are discussed.     

Biochemical genetic variation in the Cape anchovy Engraulis capensis Gilchrist

The extent of biochemical genetic variation in the Cape anchovy Engraulis capensis was estimated from starch-gel protein electrophoresis. The gene products of 31 protein-coding loci were identified and Mendelian polymorphisms were observed at 21 (68 per cent). Ten of these loci (32 per cent) had common-allele frequencies less than 0,95 and hence were useful for testing hypotheses of geographic stock structure. The average population heterozygosity, a measure of genetic variation, ranged from 0,110 to 0,128 and averaged 0,115 over samples from 31 locations. Cape anchovies and other clupeiform fishes appear, on average, to have higher levels of genetic variation than many other marine fishes. This may result from the large population sizes and weak population subdivision that characterize them.     

Density-dependent changes in reproductive parameters and condition of southern Benguela sardine Sardinops sagax

The sardine Sardinops sagax population in the southern Benguela has undergone substantial fluctuations in size over the past 50 years, collapsing from an apparently large population in the 1950s to low levels in the mid-1960s, remaining low for the next two decades, and recovering from the late 1980s to a population size that is now similar to or larger than that which occurred during the 1950s. Marked changes in condition and reproductive parameters of sardine have also occurred during this period; condition and standardised gonad mass are higher and length-at-maturity is lower at low population size compared with high population size. The correspondence between the temporal patterns in condition, reproductive parameters and population size are strongly suggestive of density-dependence, and indicate a compensatory response arising from reduced intra-specific competition. This is likely to have resulted from greater per capita food intake, improved body condition and hence faster growth, thus enabling fish to achieve maturation at a presumably younger age and smaller size. Biological parameters did not vary in or out of phase with time-series of sea surface temperature in the southern Benguela, weakening the hypothesis of environmentally mediated changes in these parameters and hence providing support for the hypothesis of a direct density-dependent response by sardine.     

Nest Densities of the Wandering Albatross Diomedea Exulans at the Prince Edward Islands,Estimated Using Gps

Hand-held Global Positioning System (GPS) receivers provide opportunities for detailed and rapid mapping of features, including biological ones, further enhanced by the removal during 2000 of "selective availability". GPS was used to map, describe and compare nest densities within wandering albatross Diomedea exulans colonies at subantarctic Marion and Prince Edward islands. On Prince Edward Island, the coordinates of 1 061 wandering albatross nests were determined and, on Marion Island, 1 779 nests. For describing nest densities of wandering albatrosses, a 50-m grid is recommended, at which scale, the densest area of Prince Edward Island was in Albatross Valley, where the area of the colony was 46 ha and nest density was 22.3 nests ha^?1. For Marion Island, the total area of the wandering albatross colonies was 306 ha and the nest density was 5.8 nests ha^?1. In the three study colonies there (Macaroni Bay, 28 nests; Sealer's Beach, 117 nests; Goney Plain, 140 nests), the density statistics did not differ greatly from the overall densities on the island, with overall mean densities of 4.9, 5.7 and 8.0 birds ha^?1 respectively. Although comparisons with nest densities at other breeding colonies are uncertain because of differing methods of computing them, the nest densities in Albatross Valley lie within the reported ranges for other colonies of great albatrosses.