Carbon in the Peatlands in the Great Lakes Region

Peatlands cover only ~3% of the global land area, but store ~30% of the worlds' soil carbon. There are many different peat types that store different amounts of carbon. Most inventories of carbon storage in northern peatlands have been conducted in the expansive Sphagnum dominated peatlands. Although, northern white cedar peatlands (NW cedar, Thuja occidentalis L.) are also one of the most common peatland types in the Great Lakes Region, occupying more than 2 million hectares. NW cedar swamps are understudied, due in part to the difficulties in collection methods. General lack of rapid and consistent sampling methods has also contributed in a lack of carbon stock quantification for many peatlands. The main objective of this thesis is to quantify: 1) to evaluate peat sampling methods 2) the amount of C-stored and the rates of long-term carbon accumulation in NW cedar peatlands. We sampled 38 peatlands separated into four categories (black ash, NW cedar swamp, sedge, and Sphagnum) during the summers of 2011/2012 across northern MN and the Upper Peninsula of MI. Basal dates of peat indicate that cedar peatlands were between 1970-7790 years old. Cedar peatlands are generally shallower than Sphagnum peat, but due to their higher bulk density, hold similar amounts of carbon with our sites averaging ~800 MgC ha-1. We estimate that NW cedar peatlands store over 1.7 Gt of carbon in the Great Lakes Region. Each of the six methods evaluated had a different level of accuracy and requires varying levels of effort and resources. The depth only method and intermittent sampling method were the most accurate methods of peatland sampling.

Standard methods for Nosema research

Methods are described for working with Nosema apis and Nosema ceranae in the field and in the laboratory. For fieldwork, different sampling methods are described to determine colony level infections at a given point in time, but also for following the temporal infection dynamics. Suggestions are made for how to standardise field trials for evaluating treatments and disease impact. The laboratory methods described include different means for determining colony level and individual bee infection levels and methods for species determination, including light microscopy, electron microscopy, and molecular methods (PCR). Suggestions are made for how to standardise cage trials, and different inoculation methods for infecting bees are described, including control methods for spore viability. A cell culture system for in vitro rearing of Nosema spp. is described. Finally, how to conduct different types of experiments are described, including infectious dose, dose effects, course of infection and longevity tests

Understanding deforestation and forest fragmentation from a livelihood perspective

Worldwide, forests provide a wide variety of resources to rural inhabitants, and especially to the poor. In Madagascar, forest resources make important contributions to the livelihoods of the rural population living at the edges of these forests. Although people benefit from forest resources, forests are continuously cleared and converted into arable land. Despite long-term efforts on the part of researchers, development cooperation projects and government, Madagascar has not been able to achieve a fundamental decrease in deforestation. The question of why deforestation continues in spite of such efforts remains. To answer this question, we aimed at understanding deforestation and forest fragmentation from the perspective of rural households in the Manompana corridor on the east coast. Applying a sustainable livelihood approach, we explored local social-ecological systems to understand: (i) how livelihood strategies leading to deforestation evolve and (ii) how the decrease of forest impacts on households' strategies. Results highlight the complexity of the environmental, cultural and political context in which households’ decision-making takes place. Further, we found crucial impacts of deforestation and forest fragmentation on livelihood systems, but also recognized that people have been able to adapt to the changing landscapes without major impacts on their welfare.

Sampling in Open Source Software Development: The case for using the Debian GNUILinux Distribution

Research on open source software (OSS) projects often focuses on the SourceForge collaboration platform. We argue that a GNU/Linwr distribution, such as Debian, is better suited for the sampling ofprojects because it avoids biases and contains unique information only available in an integrated environment. Especially research on the reuse of components can build on dependency information inherent in the Debian GNU/Linux packaging system. This paper therefore contributes to the practice of sampling methods in OSS research and provides empirical data on reuse dependencies in Debian.

Coleópteros Saproxílicos de los Bosques de Montaña en el Norte de la Comunidad de Madrid

La fauna saproxílica ha cobrado mucha relevancia en los últimos años. Por una parte, debido a los múltiples papeles que juega en la ecología de los bosques y por otra, por encontrarse muchas especies de ese grupo amenazadas como consecuencia de la intensificación de las actividades forestales. Se supone que los bosques de Europa meridional albergan una fauna saproxílica rica y variada. Sin embargo apenas se han realizado estudios que permitan conocer la composición de las biocenosis saproxílicas, así como el estatus y grado de amenaza a que está sometida cada especie. En esta tesis se han muestreado de forma sistemática las comunidades de coleópteros saproxílicos de cuatro montes del norte de la Comunidad de Madrid, muy diferentes a pesar de su cercanía: Dehesa Bonita de Somosierra, Hayedo de Montejo, Dehesa de Madarcos y Pinar de La Maleza. Para llevar a cabo la recogida de muestras se definió una estación de muestreo tipo, compuesta por cuatro trampas aéreas con cebo oloroso, dos trampas de ventana y una trampa de embudos. En los dos primeros montes mencionados se desplegaron seis estaciones de muestreo, por sólo tres en los otros dos. El primer objetivo de esta tesis fue conocer las especies de coleópteros que constituyen la fauna de los cuatro montes estudiados. Los muestreos sistemáticos reportaron la presencia de un total de 357 especies de coleópteros saproxílicos, siendo el Hayedo de Montejo el bosque con la diversidad más alta, 220 especies; le siguen la Dehesa de Madarcos con 116; el pinar de La Maleza con 115; y la Dehesa de Somosierra con 109, si bien la fauna de este ultimo bosque podría ser mucho más variada dado que la interferencia del ganado con algunos dispositivos de captura hizo que se perdiera parte del material allí recolectado. Se han encontrado nueve especies nuevas para la fauna de la Península Ibérica, y otras muchas desconocidas previamente en el centro peninsular. Un total de 50 especies se encuentran incluidas en la Lista Roja Europea de coleópteros saproxílicos. El segundo objetivo fue estimar la riqueza de fauna de coleópteros saproxílicos en cada bosque. Partiendo de los datos de los respectivo muestreos se calcularon diferentes estimadores, paramétricos y no paramétricos, y se elaboraron las curvas de rarefacción para cada bosque y para el conjunto. El bosque con más biodiversidad ha resultado ser el Hayedo de Montejo, que albergaría entre 254 y 332 especies. En el Pinar de la Maleza se encontrarían de 132 a 223; de 128 a 205 en la Dehesa de Somosierra; y entre 134 y 188 en la Dehesa de Madarcos. Para el conjunto del área se estimó la presencia de entre 411 y 512 especies. El tercer objetivo fue evaluar la influencia de algunos factores como la especie arbórea dominante y la cantidad de madera muerta en la riqueza y diversidad de coleópteros saproxílicos. El estudio se realizó en el Hayedo de Montejo, encontrando una alta correlación positiva entre cantidad y calidad de madera muerta, y diversidad y riqueza de especies de coleópteros saproxílicos. El cuarto objetivo fue evaluar la eficacia y complementariedad de los diferentes tipos de dispositivos de captura empleados en los muestreos. El más eficaz resultó ser la trampa de ventana, seguido por la trampa aérea con cebo oloroso, y finalmente la trampa de embudos. La mayor complementariedad se encontró entre trampas de ventana y aéreas con cebo oloroso. No obstante, si se quiere optimizar la exhaustividad del inventario no se debe prescindir de ninguno de los sistemas. En cualquier caso, puede afirmarse que la efectividad de los tres tipos de dispositivos de captura utilizados en los muestreos fue baja, pues para la gran mayoría de especies presentes se capturó un número de ejemplares realmente bajo. El bajo rendimiento de captura implica un bajo impacto sobre las poblaciones de las especies muestreadas, y esto supone una importante ventaja desde el punto de vista de la conservación. Finalmente, se dejan algunas recomendaciones de manejo a aplicar en cada uno de los montes con el fin de preservar o mejorar los hábitats utilizables por la fauna saproxílica que garanticen el mantenimiento y mejora de dichas comunidades. ABSTRACT The saproxylic fauna has become increasingly important in recent years. It has been due, on the one hand, to the multiple roles they play in the forest ecosystems and, on the other, because of the large proportion of endangered saproxylic species as a result of the intensification of forestry. It is generally assumed that southern Europe forests are home to a rich and diverse saproxylic fauna. However, there are hardly any studies leading to reveal the composition of saproxylic biocenosis, or the stage and extent of the threat each species is suffering. For the purpose of this thesis the communities of saproxylic beetles of four mountain forests in northern Comunidad de Madrid have been systematically sampled: Dehesa Bonita de Somosierra, Hayedo de Montejo, Dehesa de Madarcos and Pinar de La Maleza. They are very different from each other in spite of not being too far apart. In order to carry out sample collection, a standard sampling station was defined as follows: four smelly bait aerial traps, two window traps and one funnel trap. Six sampling stations were deployed in each of the first two forests mentioned above; put only three in each of the other two. The first aim of this thesis was to determine the composition of saproxylic beetles fauna inhabiting each of the four forests studied. Systematic sampling reported the presence of a total of 357 species of saproxylic beetles. Hayedo de Montejo, with 220 species, is the forest with the highest diversity, followed by Dehesa de Madarcos, 116; Pinar de La Maleza, 115, and Dehesa de Somosierra, 109. The fauna of the latter forest, however, could be much more varied, since cattle interference with some capture devices caused the loss of part of the material collected there. Nine new species in the fauna of the Iberian Peninsula were found, and many others previously unknown in the center of the Peninsula. A total of 41 of those species are included in the European Red List of saproxylic beetles. The second aim was to estimate the richness of saproxylic (beetle) fauna in each forest. From the data of the respective sampling, different parametric and nonparametric estimators were calculated, and rarefaction curves for each forest, as well as for the four of them together, were drawn. The most biodiverse forest turned out to be Hayedo de Montejo, which houses between 254 and 332 species. In Pinar de La Maleza, between 132 and 223 species were found; between 128 and 205 in Dehesa de Somosierra, and between 134 and 188 in Dehesa de Madarcos. The estimated diversity of species for the whole area ranges from 411 to 512. The third aim was to evaluate the influence of such factors as the dominant tree species and the amount of dead wood in the richness and diversity of saproxylic beetles. The study was conducted at Hayedo de Montejo, finding a high positive correlation between quantity and quality of coarse woody debris and diversity and richness of saproxylic beetle species. The fourth aim was to evaluate the effectiveness and complementarity of the different sampling methods used in this research work. The most effective proved to be the window trap, followed by the smelly bait aerial trap and the funnel trap, in that order. The greater complementarity was found between window and aerial traps. However, in order to optimize the completeness of the inventory, neither of the systems should be discarded. Nevertheless, the effectiveness of the three types of capture devices used in this piece of research was on the whole rather low, since for the vast majority of species, a significant low number of specimens were captured. Poor trapping performance implies a low impact on the populations of the sampled species, and this is an important advantage in terms of conservation. Finally, this thesis gives some recommendations with regard to the management of each of those four forests, leading to preserve and improve the habitats of the saproxylic wildlife and so ensure the maintenance and growth of their communities.

Mycorrhizal preferences and fine spatial structure of the epiphytic orchid Epidendrum rhopalostele

• Premise of the study: The presence of compatible fungi is necessary for epiphytic orchid recruitment. Thus, identifying associated mycorrhizal fungi at the population level is essential for orchid conservation. Recruitment patterns may also be conditioned by factors such as seed dispersal range and specific environmental characteristics. • Methods: In a forest plot, all trees with a diameter at breast height >1 cm and all individuals of the epiphytic orchid Epidendrum rhopalostele were identified and mapped. Additionally, one flowering individual of E. rhopalostele per each host tree was randomly selected for root sampling and DNA extraction. • Key results: A total of 239 E. rhopalostele individuals were located in 25 of the 714 potential host trees. Light microscopy of sampled roots showed mycorrhizal fungi in 22 of the 25 sampled orchids. Phylogenetic analysis of ITS1-5.8S-ITS2 sequences yielded two Tulasnella clades. In four cases, plants were found to be associated with both clades. The difference between univariate and bivariate K functions was consistent with the random labeling null model at all spatial scales, indicating that trees hosting clades A and B of Tulasnella are not spatially segregated. The analysis of the inhomogenous K function showed that host trees are not clustered, suggesting no limitations to population-scale dispersal. χ2 analysis of contingency tables showed that E. rhopalostele is more frequent on dead trees than expected. • Conclusions: Epidendrum rhopalostele establishes mycorrhizal associations with at least two different Tulasnella species. The analysis of the distribution patterns of this orchid suggests a microsite preference for dead trees and no seed dispersal limitation.

Estudio del estado de la vegetación de ribera en la España peninsular. Implicaciones de la alteración hidrológica y herramientas para su manejo y gestión

El objetivo general de este trabajo es explorar las potenciales interacciones entre la alteración hidrológica y el estado de la vegetación de ribera en diversas cuencas hidrográficas españolas. La mayor parte del área de estudio está dentro de la región Mediterránea, una región caracterizada por un particular comportamiento climatológico, ecológico y socio-económico. Las cuencas estudiadas son: Guadiana, Guadalquivir, Tajo, y Duero. Para complementar el estudio y comparar resultados con otras regiones climáticas españolas se estudiaron dos Demarcaciones atlánticas: Cantábrico y Miño-Sil. El funcionamiento fluvial, en las áreas mediterráneas, presenta grandes variaciones en el régimen hídrico, siendo uno de los principales controladores de la estructura, composición y distribución de la vegetación de ribera. Para investigar las interacciones mencionadas previamente, se presenta un nuevo índice, Riparian Forest Evaluation (RFV). El objetivo de este índice es valorar el estado de la vegetación de ribera en base a los principales controladores hidro-morfológicos responsables de la dinámica fluvial, y por tanto, relacionados con el desarrollo del corredor ribereño. RFV divide la evaluación del bosque de ribera en cuatro componentes: continuidad longitudinal, transversal, y vertical (dimensiones espaciales), y condiciones del regenerado (dimensión temporal). La clasificación final está basada en las mismas cinco clases fijadas por la Directiva europea Marco del Agua (DMA) (2000/60/CE) para valorar el estado ecológico de las masas de agua. La aplicación de este índice en 187 masas de agua ha mostrado su facilidad de aplicación y su consistencia desde un punto de vista legislativo y técnicocientífico. En paralelo al diseño del índice RFV, se ha desarrollado una nueva herramienta para dar apoyo a la evaluación del bosque de ribera (RFV) y la extracción de variables hidromorfológicas a escala de masa de agua en lugar de a escala local (muestreo de campo local). Se trata de Riparian Characterisation by LiDAR (RiC-DAR), que permite valorar el estado del bosque de ribera de una manera semiautomática, en un modo cuasi-continuo, usando LiDAR de alta resolución. Esto hecho permite mejorar significativamente la calidad y cantidad de información comparado con la toma de datos en campo, lo que permite reducir los recursos, particularmente cuando se trabaja a escala de masas de agua. Una de las potenciales causas de la degradación del bosque de ribera es la alteración hidrológica; así una vez se ha realizado la evaluación del bosque de ribera basada en elementos hidro-morfológicos ligados al régimen hídrico (RFV), se han identificado las potenciales relaciones entre la alteración hidrológica y la degradación de la vegetación riparia. Para ello, se requiere contar con series de aforos fiables y de una duración apropiada. Para satisfacer este requerimiento, se ha creado una nueva herramienta: el Servidor de Datos para el Estudio de la Alteración Hidrológica (SEDAH). Esta herramienta genera datos diarios y mensuales completados para más años, construyendo así bases de datos más aptas para el estudio de la alteración hidrológica. (http://ambiental.cedex.es/Sedah) Haciendo uso de las herramientas y métodos desarrollados previamente, se han calculado diferentes indicadores de alteración hidrológica en 87 masas de agua que han sido analizados conjuntamente con el estado de la vegetación de ribera. Los resultados estadísticos han mostrado relaciones significativas entre ellos: la degradación de la vegetación podría estar fuertemente ligada a la alteración del régimen hídrico en años secos y a las sequías en el entorno mediterráneo. A su vez se ha analizado la relación del estado del bosque de ribera con el estado ecológico basado en la DMA, mostrando una relación no significativa. Esta y otras potenciales relaciones son discutidas a lo largo del documento. Los resultados permiten proponer recomendaciones de gestión de la vegetación de ribera y de manejo del régimen de caudales para masas de agua reguladas. ABSTRACT The general objective of this work is to explore the potential interactions between hydrologic alteration and degradation of the riparian vegetation, mainly focused in the Mediterranean Environment. The majority of the study area is part of the Spanish Mediterranean region, a geographical environment characterized by a singular climatologic, ecological and socio-economical behavior. The basins analysed in this work are: Guadiana, Guadalquivir, Tagus, Douro. In order to complete the results and compare those to other climatic regions in Spain, two Atlantic Districts where selected: Cantábrico and Miño-Sil. The river functioning, in the Mediterranean areas, presents great variations in the flow regimes being one of the main drivers of the riparian vegetation development. To explore the interactions stated above, a new index is presented, Riparian Forest Evaluation (RFV). This index is aimed to assess the status of the riparian vegetation based on the main hydromorphological drivers responsible of the river dynamic, and so, related to the development of the riparian corridor. RFV split the evaluation of the riparian forest into four components: longitudinal continuity, transversal continuity, vertical (structure) continuity and regeneration (temporal) continuity. The final classification is based in the same five classes to those stated in the European Water Frame Work directive to assess the ecological status. The application of this index over 187 water bodies has shown to be easily applicable and consistent from a regulatory perspective. In parallel to the design of RFV, a new tool has been developed to enhance the evaluation of the riparian forest and river morphology (RFV and morphological parameters) at water body scale rather than at local scale, i.e. when field surveyed at different sites. The Riparian Characterisation by LiDAR, RiC-DAR allows to assess the status of the riparian vegetation semi-automatically in a quasi-continuous way using high resolution LiDAR. This improves significantly the quantity and quality of information gathered through field sampling methods, reducing resources when working at larger scales. One of the potential major causes of degradation of the riparian forest is the hydrologic alteration; hence, once the evaluation of the riparian forest is done consistently based on hydro-morphological features linked to the hydrological regime (RVF), this work has identified potential relationships between hydrologic alteration and degradation of riparian vegetation. In order to do this, it is required to count with reliable series of flow records describing both reference and altered regimes. To satisfy this need, a new tool has been created, SEDAH, data server for assessing hydrologic alteration. This tool has completed daily and monthly gaps in the flow series to build up an improved database to assess the hydrologic alteration. This application is available on line (http://ambiental.cedex.es). Making use of the tools and methods developed previously, this work uses these data to work out indicators of hydrologic alteration through 87 water bodies to be analysed against the riparian status. These indicators are statistically analysed exploring significant relationships with the status of riparian vegetation and ecological status, showing some potential significant relationships; hence it seems that the degradation of riparian vegetation, particularly the regeneration, is associated with the alteration of the hydrologic regimen in dry years and draughts in Mediterranean environments. Furthermore, the analysis of the status of the ecological status and the status of the riparian vegetation has shown the lack of significant influence of the riparian vegetation in the final ecological status using the WFD approach applied in Spain. This and other potential relationships are discussed in this work. The results allow giving guidance on the management of both riparian vegetation and environmental flows of water bodies affected by flow regulation.

Evaluation of sampling method effects in 3D non-rigid registration

Since the beginning of 3D computer vision problems, the use of techniques to reduce the data to make it treatable preserving the important aspects of the scene has been necessary. Currently, with the new low-cost RGB-D sensors, which provide a stream of color and 3D data of approximately 30 frames per second, this is getting more relevance. Many applications make use of these sensors and need a preprocessing to downsample the data in order to either reduce the processing time or improve the data (e.g., reducing noise or enhancing the important features). In this paper, we present a comparison of different downsampling techniques which are based on different principles. Concretely, five different downsampling methods are included: a bilinear-based method, a normal-based, a color-based, a combination of the normal and color-based samplings, and a growing neural gas (GNG)-based approach. For the comparison, two different models have been used acquired with the Blensor software. Moreover, to evaluate the effect of the downsampling in a real application, a 3D non-rigid registration is performed with the data sampled. From the experimentation we can conclude that depending on the purpose of the application some kernels of the sampling methods can improve drastically the results. Bilinear- and GNG-based methods provide homogeneous point clouds, but color-based and normal-based provide datasets with higher density of points in areas with specific features. In the non-rigid application, if a color-based sampled point cloud is used, it is possible to properly register two datasets for cases where intensity data are relevant in the model and outperform the results if only a homogeneous sampling is used.

Quantifying the pathology of neurodegenerative disorders:Quantitative measurements, sampling strategies and data analysis

The use of quantitative methods has become increasingly important in the study of neurodegenerative disease. Disorders such as Alzheimer's disease (AD) are characterized by the formation of discrete, microscopic, pathological lesions which play an important role in pathological diagnosis. This article reviews the advantages and limitations of the different methods of quantifying the abundance of pathological lesions in histological sections, including estimates of density, frequency, coverage, and the use of semiquantitative scores. The major sampling methods by which these quantitative measures can be obtained from histological sections, including plot or quadrat sampling, transect sampling, and point-quarter sampling, are also described. In addition, the data analysis methods commonly used to analyse quantitative data in neuropathology, including analyses of variance (ANOVA) and principal components analysis (PCA), are discussed. These methods are illustrated with reference to particular problems in the pathological diagnosis of AD and dementia with Lewy bodies (DLB).

Quantitative methods in neuropathology

The last decade has seen a considerable increase in the application of quantitative methods in the study of histological sections of brain tissue and especially in the study of neurodegenerative disease. These disorders are characterised by the deposition and aggregation of abnormal or misfolded proteins in the form of extracellular protein deposits such as senile plaques (SP) and intracellular inclusions such as neurofibrillary tangles (NFT). Quantification of brain lesions and studying the relationships between lesions and normal anatomical features of the brain, including neurons, glial cells, and blood vessels, has become an important method of elucidating disease pathogenesis. This review describes methods for quantifying the abundance of a histological feature such as density, frequency, and 'load' and the sampling methods by which quantitative measures can be obtained including plot/quadrat sampling, transect sampling, and the point-quarter method. In addition, methods for determining the spatial pattern of a histological feature, i.e., whether the feature is distributed at random, regularly, or is aggregated into clusters, are described. These methods include the use of the Poisson and binomial distributions, pattern analysis by regression, Fourier analysis, and methods based on mapped point patterns. Finally, the statistical methods available for studying the degree of spatial correlation between pathological lesions and neurons, glial cells, and blood vessels are described.

STUDY OF A DIRECT SAMPLING METHOD FOR THE INVERSE MEDIUM SCATTERING PROBLEM

Direct sampling methods are increasingly being used to solve the inverse medium scattering problem to estimate the shape of the scattering object. A simple direct method using one incident wave and multiple measurements was proposed by Ito, Jin and Zou. In this report, we performed some analytic and numerical studies of the direct sampling method. The method was found to be effective in general. However, there are a few exceptions exposed in the investigation. Analytic solutions in different situations were studied to verify the viability of the method while numerical tests were used to validate the effectiveness of the method.

An estimate of biometric parameters in eucalyptus clone plantations in Southern Bahia: an application of the airborne laser scanning (ALS) technology

The application of airborne laser scanning (ALS) technologies in forest inventories has shown great potential to improve the efficiency of forest planning activities. Precise estimates, fast assessment and relatively low complexity can explain the good results in terms of efficiency. The evolution of GPS and inertial measurement technologies, as well as the observed lower assessment costs when these technologies are applied to large scale studies, can explain the increasing dissemination of ALS technologies. The observed good quality of results can be expressed by estimates of volumes and basal area with estimated error below the level of 8.4%, depending on the size of sampled area, the quantity of laser pulses per square meter and the number of control plots. This paper analyzes the potential of an ALS assessment to produce certain forest inventory statistics in plantations of cloned Eucalyptus spp with precision equal of superior to conventional methods. The statistics of interest in this case were: volume, basal area, mean height and dominant trees mean height. The ALS flight for data assessment covered two strips of approximately 2 by 20 Km, in which clouds of points were sampled in circular plots with a radius of 13 m. Plots were sampled in different parts of the strips to cover different stand ages. The clouds of points generated by the ALS assessment: overall height mean, standard error, five percentiles (height under which we can find 10%, 30%, 50%,70% and 90% of the ALS points above ground level in the cloud), and density of points above ground level in each percentile were calculated. The ALS statistics were used in regression models to estimate mean diameter, mean height, mean height of dominant trees, basal area and volume. Conventional forest inventory sample plots provided real data. For volume, an exploratory assessment involving different combinations of ALS statistics allowed for the definition of the most promising relationships and fitting tests based on well known forest biometric models. The models based on ALS statistics that produced the best results involved: the 30% percentile to estimate mean diameter (R(2)=0,88 and MQE%=0,0004); the 10% and 90% percentiles to estimate mean height (R(2)=0,94 and MQE%=0,0003); the 90% percentile to estimate dominant height (R(2)=0,96 and MQE%=0,0003); the 10% percentile and mean height of ALS points to estimate basal area (R(2)=0,92 and MQE%=0,0016); and, to estimate volume, age and the 30% and 90% percentiles (R(2)=0,95 MQE%=0,002). Among the tested forest biometric models, the best fits were provided by the modified Schumacher using age and the 90% percentile, modified Clutter using age, mean height of ALS points and the 70% percentile, and modified Buckman using age, mean height of ALS points and the 10% percentile.

Using FCD Mapper Software and Landsat Images to Assess Forest Canopy Density in Landscapes in Australia and the Philippines

Using Landsat imagery, forest canopy density (FCD) estimated with the FCD Mapper®, was correlated with predominant height (PDH, measured as the average height of the tallest 50 trees per hectare) for 20 field plots measured in native forest at Noosa Heads, south-east Queensland, Australia. A corresponding image was used to calculate FCD in Leyte Island, the Philippines and was validated on the ground for accuracy. The FCD Mapper was produced for the International Tropical Timber Organisation and estimates FCD as an index of canopy density using reflectance characteristics of Landsat Enhanced Thematic (ETM) Mapper images. The FCD Mapper is a ‘semi-expert’ computer program which uses interactive screens to allow the operator to make decisions concerning the classification of land into bare soil, grass and forest. At Noosa, a positive strong nonlinear relationship (r2 = 0.86) was found between FCD and PDH for 15 field plots with variable PDH but complete canopy closure. An additional five field plots were measured in forest with a broken canopy and the software assessed these plots as having a much lower FCD than forest with canopy closure. FCD estimates for forest and agricultural land in the island of Leyte and subsequent field validation showed that at appropriate settings, the FCD Mapper differentiated between tropical rainforest and banana or coconut plantation. These findings suggest that in forests with a closed canopy this remote sensing technique has promise for forest inventory and productivity assessment. The findings also suggest that the software has promise for discriminating between native forest with a complete canopy and forest which has a broken canopy, such as coconut or banana plantation.

CR3 (CD11b/CD18) activation of nasal neutrophils: a measure of upper airway endotoxin exposure

Inhaled endotoxin (lipopolysaccharide, LPS) initiates an inflammatory response and leads to the expression of CR3 (CD11b/CD18) receptors on polymorphonuclear leukocytes (PMNs). We determined if PMN activation in nasal lavage fluid (NLF) is a possible biomarker of occupational endotoxin exposure. Seven subjects exposed to endotoxin provided NLF samples that were split into three aliquots (negative control - 1 M nicotinamide; sham; positive control - 11 eta g of exogenous LPS) and PMN activation was measured using a chemiluminometer. Differences in mean PMN activation were apparent, negative control: 548 +/- 15.65 RLU 100 mu l(-1); sham: 11469 +/- 2582 RLU 100 mu l(-1); positive control: 42026 +/- 16659 RLU 100 mu l (n = 7; p < 0.05). This technique shows promise as a diagnostic method for measuring upper airway LPS exposure.

Empirical evidence for ultrametric structure in multi-layer perceptron error surfaces

Combinatorial optimization problems share an interesting property with spin glass systems in that their state spaces can exhibit ultrametric structure. We use sampling methods to analyse the error surfaces of feedforward multi-layer perceptron neural networks learning encoder problems. The third order statistics of these points of attraction are examined and found to be arranged in a highly ultrametric way. This is a unique result for a finite, continuous parameter space. The implications of this result are discussed.