Dissertations / Theses on the topic 'TreeNet'

In dieser Arbeit wurden verschiedene GIS-basierte Habitatmodelle für den Weißstorch (Ciconia ciconia) im Gebiet der ehemaligen deutschen Provinz Ostpreußen (ca. Gebiet der russischen Exklave Kaliningrad und der polnischen Woiwodschaft Ermland-Masuren) erstellt. Zur Charakterisierung der Beziehung zwischen dem Weißstorch und der Beschaffenheit seiner Umwelt wurden verschiedene historische Datensätze über den Bestand des Weißstorches in den 1930er Jahren sowie ausgewählte Variablen zur Habitat-Beschreibung genutzt. Die Aufbereitung und Modellierung der verwendeten Datensätze erfolgte mit Hilfe eines geographischen Informationssystems (ArcGIS) und einer statistisch-mathematischen Methode aus den Bereichen „Machine Learning“ und „Data-Mining“ (TreeNet, Salford Systems Ltd.). Unter Verwendung der historischen Habitat-Parameter sowie der Daten zum Vorkommen des Weißstorches wurden quantitative Modelle auf zwei Maßstabs-Ebenen erstellt: (i) auf Punktskala unter Verwendung eines Rasters mit einer Zellgröße von 1 km und (ii) auf Verwaltungs-Kreisebene basierend auf der Gliederung der Provinz Ostpreußen in ihre Landkreise. Die Auswertung der erstellten Modelle zeigt, dass das Vorkommen von Storchennestern im ehemaligen Ostpreußen, unter Berücksichtigung der hier verwendeten Variablen, maßgeblich durch die Variablen ‚forest’, ‚settlement area’, ‚pasture land’ und ‚coastline’ bestimmt wird. Folglich lässt sich davon ausgehen, dass eine gute Nahrungsverfügbarkeit, wie der Weißstorch sie auf Wiesen und Weiden findet, sowie die Nähe zu menschlichen Siedlungen ausschlaggebend für die Nistplatzwahl des Weißstorches in Ostpreußen sind. Geschlossene Waldgebiete zeigen sich in den Modellen als Standorte für Horste des Weißstorches ungeeignet. Der starke Einfluss der Variable ‚coastline’ lässt sich höchstwahrscheinlich durch die starke naturräumliche Gliederung Ostpreußens parallel zur Küstenlinie erklären. In einem zweiten Schritt konnte unter Verwendung der in dieser Arbeit erstellten Modelle auf beiden Skalen Vorhersagen für den Zeitraum 1981-1993 getroffen werden. Dabei wurde auf dem Punktmaßstab eine Abnahme an potentiellem Bruthabitat vorhergesagt. Im Gegensatz dazu steigt die vorhergesagte Weißstorchdichte unter Verwendung des Modells auf Verwaltungs-Kreisebene. Der Unterschied zwischen beiden Vorhersagen beruht vermutlich auf der Verwendung unterschiedlicher Skalen und von zum Teil voneinander verschiedenen erklärenden Variablen. Weiterführende Untersuchungen sind notwendig, um diesen Sachverhalt zu klären. Des Weiteren konnten die Modellvorhersagen für den Zeitraum 1981-1993 mit den vorliegenden Bestandserfassungen aus dieser Zeit deskriptiv verglichen werden. Es zeigt sich hierbei, dass die hier vorhergesagten Bestandszahlen höher sind als die in den Zählungen ermittelten. Die hier erstellten Modelle beschreiben somit vielmehr die Kapazität des Habitats. Andere Faktoren, die die Größe der Weißstorch-Population bestimmen, wie z.B. Bruterfolg oder Mortalität sollten in zukünftige Untersuchungen mit einbezogen werden. Es wurde ein möglicher Ansatz aufgezeigt, wie man mit den hier vorgestellten Methoden und unter Verwendung historischer Daten wertvolle Habitatmodelle erstellen sowie die Auswirkung von Landnutzungsänderungen auf den Weißstorch beurteilen kann. Die hier erstellten Modelle sind als erste Grundlage zu sehen und lassen sich mit Hilfe weitere Daten hinsichtlich Habitatstruktur und mit exakteren räumlich expliziten Angaben zu Neststandorten des Weißstorches weiter verfeinern. In einem weiteren Schritt sollte außerdem ein Habitatmodell für die heutige Zeit erstellt werden. Dadurch wäre ein besserer Vergleich möglich hinsichtlich erdenklicher Auswirkungen von Änderungen der Landnutzung und relevanten Umweltbedingungen auf den Weißstorch im Gebiet des ehemaligen Ostpreußens sowie in seinem gesamten Verbreitungsgebiet.
Different habitat models were created for the White Stork (Ciconia ciconia) in the region of the former German province of East Prussia (equals app. the current Russian oblast Kaliningrad and the Polish voivodship Warmia-Masuria). Different historical data sets describing the occurrence of the White Stork in the 1930s, as well as selected variables for the description of landscape and habitat, were employed. The processing and modeling of the applied data sets was done with a geographical information system (ArcGIS) and a statistical modeling approach that comes from the disciplines of machine-learning and data mining (TreeNet by Salford Systems Ltd.). Applying historical habitat descriptors, as well as data on the occurrence of the White Stork, models on two different scales were created: (i) a point scale model applying a raster with a cell size of 1 km2 and (ii) an administrative district scale model based on the organization of the former province of East Prussia. The evaluation of the created models show that the occurrence of White Stork nesting grounds in the former East Prussia for most parts is defined by the variables ‘forest’, ‘settlement area’, ‘pasture land’ and ‘proximity to coastline’. From this set of variables it can be assumed that a good food supply and nesting opportunities are provided to the White Stork in pasture and meadows as well as in the proximity to human settlements. These could be seen as crucial factors for the choice of nesting White Stork in East Prussia. Dense forest areas appear to be unsuited as nesting grounds of White Storks. The high influence of the variable ‘coastline’ is most likely explained by the specific landscape composition of East Prussia parallel to the coastline and is to be seen as a proximal factor for explaining the distribution of breeding White Storks. In a second step, predictions for the period of 1981 to 1993 could be made applying both scales of the models created in this study. In doing so, a decline of potential nesting habitat was predicted on the point scale. In contrast, the predicted White Stork occurrence increases when applying the model of the administrative district scale. The difference between both predictions is to be seen in the application of different scales (density versus suitability as breeding ground) and partly dissimilar explanatory variables. More studies are needed to investigate this phenomenon. The model predictions for the period 1981 to 1993 could be compared to the available inventories of that period. It shows that the figures predicted here were higher than the figures established by the census. This means that the models created here show rather a capacity of the habitat (potential niche). Other factors affecting the population size e.g. breeding success or mortality have to be investigated further. A feasible approach on how to generate possible habitat models was shown employing the methods presented here and applying historical data as well as assessing the effects of changes in land use on the White Stork. The models present the first of their kind, and could be improved by means of further data regarding the structure of the habitat and more exact spatially explicit information on the location of the nesting sites of the White Stork. In a further step, a habitat model of the present times should be created. This would allow for a more precise comparison regarding the findings from the changes of land use and relevant conditions of the environment on the White Stork in the region of former East Prussia, e.g. in the light of coming landscape changes brought by the European Union (EU).

Objective: Researches which studied the relation of dietary greenhouse gas emissions with health outcomes are few, inconsistent and most of them are modelling studies which have not investigated empiric dietary emission patterns. In this study, we employ a posteriori data dimension reduction method, treelet transform, to identify dietary and diet related emission patterns concurrently. We aim to evaluate if these patterns are correlated, if they areassociated with diabetes and if emission patterns can be used as a proxy for dietary patterns for assessment of association with diabetes. Design: Food items from dietary questionnaire were aggregated to 34 food groups. GHGE was estimated by linking food intakes with life cycle assessment data on emission. Dietary and emission patterns were identified by employing treelet transform on food intake and corresponding greenhouse gas emission data. Multivariate logistic regression was performed to investigate associations between quintiles of dietary patterns and diabetes. Adjusted mean values of emission estimates were obtained for the identified dietary patterns. Adjusted proportions of diabetes across quintiles of emission patterns were computed. Setting: Västerbotten Intervention Program Subjects: women (n 38,118); men (n 36,042) between the age of 35 and 65 years Results: Four dietary and four corresponding emission patterns in women, five dietary and five corresponding emission patterns in men were identified. Moderate to strong correlations were observed between dietary and corresponding emission patterns. Prudent dietary pattern (PP) in women was inversely associated with dysglycemia [ORQ5 vs. Q1 = 0.82 (95% CI 0.69—0.97, Ptrend =0.003)]. PP in women was also inversely associated with diabetes [ORQ5 vs.Q1 = 0.37 (95% CI 0.17—0.78, Ptrend = 0.002)]. However, adherence to this dietary pattern was associated with higher dietary emission. Finally, none of the corresponding emission patterns, were associated with adjusted proportions of either dysglycemia or diabetes. Conclusion: Treelet transform produces correlated dietary and emission patterns which are sparse and easily interpretable. However, some differences in loading structures between dietary and emission patterns result in different conclusion regarding the association with diabetes, rendering the usage of emission patterns as proxies of dietary patterns inappropriate. Results from our study also show that healthy dietary patterns do not necessarily reduce greenhouse gas emission.

A principal função da arborização viária, nos últimos 30 anos, passou de apenas estética para promotora de serviços ambientais, mas essas árvores estão submetidas a diversos fatores estressantes, como a poluição do ar, a baixa disponibilidade de água, solo compactado, podas severas, e área de crescimento limitada. As redes aéreas de distribuição de energia são um dos elementos que mais interferem no manejo das árvores viárias, pois o conflito, geralmente, já está estabelecido e as concessionárias de energia optam por podas drásticas, que podem comprometer a sanidade da árvore e estimular brotações epicórmicas que crescem rapidamente e vão de encontro com as fiações. Posto isso, o presente estudo teve como objetivo determinar a taxa de crescimento de brotações epicórmicas após poda executada pela Companhia Paulista de Força e Luz (CPFL) em indivíduos das espécies tipuana (Tipuana tipu (Benth.) Kuntze), ipê-roxo (Tabebuia heptaphylla (Vell.) Mart.), e chapéu-de-sol (Terminalia catappa L.), na cidade de Piracicaba/SP e relacionar esta taxa com as características da árvore e do meio. Para isso, foi realizado levantamento em campo de variáveis como a espécie, diâmetro à altura do peito (DAP), índice de área foliar (IAF), tipo de calçada, tipo de solo, fotos do canteiro e dos brotos ao lado de uma baliza para posterior medição digital, que teve sua confiabilidade testada e aprovada nesta pesquisa. A análise foi executada com todas as espécies juntas, para cada espécie, e por classe de DAP dentro de cada espécie. O índice de crescimento médio diário para a tipuana foi de 0,360 cm; para o ipê-roxo, 0,298 cm; e para chapéu-de-sol, 0,404 cm. Houve diferença significativa entre a taxa de crescimento da espécie chapéu-de-sol e ipê-roxo, indicando que a espécie e o grupo sucessional a qual pertencem influenciam no ritmo de crescimento. Não foi constatada influência do tipo de calçada e nem do tipo de solo. O IAF também não influenciou no crescimento, a não ser em ipês com DAP entre 50 e 60 cm. A dimensão do canteiro não influenciou o crescimento dos brotos de chapéu-de-sol, mas influenciou positivamente tanto as tipuanas com 60 a 70 cm de DAP, que foram as árvores com o maior ritmo de crescimento da espécie, como os ipês com DAP entre 30 e 40 cm que ainda estão vigorosos e suas raízes continuam explorando o solo. Os estudos com essa temática são poucos e fatores como clima, época de poda e histórico de manejo da área podem exercer influência na resposta da árvore à poda. Portanto, é sugerido maior tempo de estudo com os mesmos indivíduos e a inclusão de mais árvores.
The main function of the street trees, in the last 30 years, had been switched from aesthetic to the promotion of environmental services. However, this trees are submitted to a lot of stressful factors like limited growth aerea, air pollution, low water availability, compacted soil and drastic pruning. Aerial power networks distribution are the elements that most interfere with the management of street trees, because the conflict is usually already established and the energy concessionaires opt for drastic pruning, which can compromise tree sanity and stimulate epicormic shoots, that grows quickly toward the aerial networks. Therefore, the present study had the objective of determining the growth rate of epicormic shoots after it having been pruned by CPFL for the species Tipuana tipu (Benth.) Kuntze; Tabebuia heptaphylla (Vell.) Mart.; and Terminalia catappa L. in the city of Piracicaba, São Paulo, Brazil, and relate this rate to the tree and environment characteristics. For that, a field survey was made of variables such as the species, diameter at breast height (DBH), leaf area index (LAI), type of pavement, type of soil, and photos of the treebed and shoots next to a beacon for later digital measurement, which had its reliability tested and approved in this study. The analysis was performed with all species together, for each species separately, and by dbh class within each species. The average daily growth rate for Tipuana tipu was 0.360 cm; for Tabebuia heptaphylla was 0.298 cm; and for Terminalia catappa was 0.404 cm. There was a significant difference between the growth rate of Terminalia catappa and Tabebuia heptaphylla, indicating that the species and its successional group influence the growth rhythm. There was no influence of the type of sidewalk or of the type of soil in the growth rate. The LAI also did not influence any growth, just for Tabebuia Heptaphylla with DBH between 50 and 60 cm. The treebed area did not influenced the Terminalia catappa shoots growth, but it had influenced positively the Tipuana tipu with 60 to 70 cm of DBH, wich were the trees with the greater growth rate of the species, as much as the Tabebuia heptaphylla with DBH between 30 and 40 cm, which are at a fairly vigorous age and their roots continue to explore the soil. There are a few studies with this theme and factors such as climate, pruning season and area management history can influence tree response to pruning. Therefore, longer study time with the same individuals and more trees included is suggested.

Real-time collaborative editing systems are groupware systems that allow members of a team to simultaneously edit shared documents from different sites. Shared objects involved in the team activity are subject to concurrent accesses and real-time constrains. Starting with the dOPT algorithm of Ellis and Gibbs various algorithms using operational transformation for maintaining consistency in collaborative systems have been proposed: adOPTed, GOT, GOTO and etc. All these algorithms are based on a linear representation of the document. In this work we discuses about algorithms based on a tree representation of the document. We propose several algorithms based on dOPT algorithms for operation transformations for XML based documents. Experimental development helps to evaluate and demonstrate practical application for algorithms testing. Detailed commented experiment supplements formal description with practical strategies and specifics.