Im Rahmen dieser Diplomarbeit entstand in Zusammenarbeit des Instituts für Kartographie der Technischen Universität Dresden und Archäologen der Universität Gent in Belgien ein dreidimensionales Landschaftsmodell einer Teilregion des Naturparks „Uch-Enmek“, gelegen in der Republik Altai. Diese Region beinhaltet die wichtigsten und größten bekannten Begräbnisstätten skythischen Ursprungs, für die es gilt, den Bekanntheitsgrad und das Bewusstsein dieses kulturellen Erbes durch diese Arbeit zu steigern. Im Zuge dessen wurden wichtige Geodaten, unter Berücksichtigung der prägenden Geoelemente einer Landschaft, in einem Geoinformationssystem zusammengetragen, um die Ausgrabungsstätten ergänzt und verfeinert und schließlich zu einem digitalen Landschaftsmodell ausgebaut. Die Wandlung zu einem dreidimensionalen Landschaftsmodell durch Hinzunahme von 3D-Objekten, wie Gebäuden oder Bäume, wurde in einer professionellen 3D-Software durchgeführt. Zur Visualisierung des Endproduktes wurden aus dem resultierenden 3D-Modell statische Bilder und eine Animation erstellt. Zukünftig können die Ergebnisse genutzt werden, um einen Internetauftritt des Naturparks zu ermöglichen. / Within the scope of this diploma thesis, a three-dimensional landscape model of a part of a region located in the nature park „Uch-Enmek“ (situated within the Altai Republic), was generated in cooperation with the Institut for Cartography of Dresden University of Technology and archaeologists of the University of Ghent in Belgium. The area of interest contains the most important and well-known burial mounds, that origin back to Scythian history. Aim of the thesis is to increase the degree of popularity and the awareness for this cultural heritage. In this case, important geodata were collected within a geo-informationsystem, with respect to characteristic geoelements of a landscape. The geodata were replenished and improved around the archaeological excavation and built up to a digital landscape model. The conversion to a three-dimensional landscape model by adding three-dimensional objects, like buildings and trees, was executed with the help of a professional 3D-software. To visualize the final product, static images and an animation were generated as results out of the 3D-model. Prospectively, the achievement can be used to establish an internet presentation of the nature park.

Dans un objectif de réduction de l'utilisation des pesticides, des méthodes alternatives doivent assurer la protection des cultures. Les dégâts causés par les insectes ravageurs sont les manifestations de dynamiques de population dont certains déterminants paysagers sont des éléments structuraux potentiellement relocalisables. Nous explorons ici, par la simulation numérique, la modification du paysage comme stratégie de protection des cultures.Les éléments paysagers peuvent impacter les populations d'insectes par leur influence sur les comportements individuels. Nous avons développé un modèle de population tenant compte de l'approvisionnement individuel. Ce processus résulte (1) de la perception des ressources distantes par l'individu, (2) de la localisation de la population sur une dimension additionnelle quantifiant les réserves énergétiques, et (3) d'une procédure d'optimisation qui définit des mouvements dirigés adaptés.Une heuristique évolutionnaire de modification de paysages a été développée. Elle produit des réarrangements sous contraintes de composition et de structure. Les modèles de paysages et de dynamique de population ont été appliqués à un problème théorique d'aménagement du paysage. La description mécaniste de l'approvisionnement optimal offre des leviers d'action efficaces, basés sur la perturbation des comportements d'approvisionnement. Nos travaux montrent la réactivité de la population aux modifications du paysage, ainsi que la capacité des algorithmes évolutionnaires à proposer des paysages résistants, sous contraintes agronomiques. / Environmental and health issues call for a switch in crop protection towards less chemically driven strategies. Pest damages on crops result of population dynamics that are influenced by landscape features. Those features may be relocated or dismissed to improve landscapes resistance to pest damages. Here we explore numerically the landscape modification as a crop protection strategy.Landscape features can influence population dynamics through their impact on individuals. Therefore, we developed a multiscale population dynamics model accounting for individual foraging. The foraging process results of (1) the perception of distant features used as resources by the individuals, (2) the localisation of the population along an additional dimension quantifying individual energy supply, (3) an optimisation procedure defining adapted directed motionsWe developed an evolutionary heuristic for landscape modification. It is able to rearrange landscapes with respect to compositional and structural constraints. Population and landscape models were applied to a theoretical landscape planning problem. The mechanistic description of the optimal foraging process enables new and efficient levers for crop protection, building on the disruption of the foraging behaviours. This application enlightens the responsiveness of the simulated population to landscape modifications, as well as the ability of evolutionary algorithms to produce resilient landscapes under agronomic productive constraints.

Im Rahmen dieser Diplomarbeit entstand in Zusammenarbeit des Instituts für Kartographie der Technischen Universität Dresden und Archäologen der Universität Gent in Belgien ein dreidimensionales Landschaftsmodell einer Teilregion des Naturparks „Uch-Enmek“, gelegen in der Republik Altai. Diese Region beinhaltet die wichtigsten und größten bekannten Begräbnisstätten skythischen Ursprungs, für die es gilt, den Bekanntheitsgrad und das Bewusstsein dieses kulturellen Erbes durch diese Arbeit zu steigern. Im Zuge dessen wurden wichtige Geodaten, unter Berücksichtigung der prägenden Geoelemente einer Landschaft, in einem Geoinformationssystem zusammengetragen, um die Ausgrabungsstätten ergänzt und verfeinert und schließlich zu einem digitalen Landschaftsmodell ausgebaut. Die Wandlung zu einem dreidimensionalen Landschaftsmodell durch Hinzunahme von 3D-Objekten, wie Gebäuden oder Bäume, wurde in einer professionellen 3D-Software durchgeführt. Zur Visualisierung des Endproduktes wurden aus dem resultierenden 3D-Modell statische Bilder und eine Animation erstellt. Zukünftig können die Ergebnisse genutzt werden, um einen Internetauftritt des Naturparks zu ermöglichen. / Within the scope of this diploma thesis, a three-dimensional landscape model of a part of a region located in the nature park „Uch-Enmek“ (situated within the Altai Republic), was generated in cooperation with the Institut for Cartography of Dresden University of Technology and archaeologists of the University of Ghent in Belgium. The area of interest contains the most important and well-known burial mounds, that origin back to Scythian history. Aim of the thesis is to increase the degree of popularity and the awareness for this cultural heritage. In this case, important geodata were collected within a geo-informationsystem, with respect to characteristic geoelements of a landscape. The geodata were replenished and improved around the archaeological excavation and built up to a digital landscape model. The conversion to a three-dimensional landscape model by adding three-dimensional objects, like buildings and trees, was executed with the help of a professional 3D-software. To visualize the final product, static images and an animation were generated as results out of the 3D-model. Prospectively, the achievement can be used to establish an internet presentation of the nature park.

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Die vorliegende Bachelorarbeit ergänzt das bereits existierende nicht-photorealistische 3D-Landschaftsmodell im 'Ethno-Nature Park Uch-Enmek' nach Osten. Zentrum der durchgeführten Modellierungsarbeiten im zwei- und dreidimensionalen Raum ist die Siedlung Karakol. Der existente Workflow - von den Primärdaten bis zum 3D-Modell - wird unabhängig getestet und auf Verbesserungsmöglichkeiten untersucht. Die Schwerpunkte liegen dabei auf der Eignung der existenten Quellen für die Modellierung, der Eignung bisher geschaffener Modellierungswerkzeuge sowie der Quantifizierung des Erfassungsaufwands.

A method was developed for extending a fine-scaled forest gap model to a watershed-scaled landscape, using the Eastern Cross Timbers ecoregion as a case study for the method. A topographic wetness index calculated from digital elevation data was used as a measure of hydrologic across the modeled landscape, and the gap model modified to have with a topographically-based hydrologic input parameter. The model was parameterized by terrain type units that were defined using combinations of USDA soil series and classes of the topographic wetness index. A number of issues regarding the sources, grid resolutions, and processing methods of the digital elevation data are addressed in this application of the topographic wetness index. Three different grid sizes, 5, 10, and 29 meter, from both LiDAR-derived and contour-derived elevation grids were used, and the grids were processed using both single-directional flow algorithm and bi-directional flow algorithm. The result of these different grids were compared and analyzed in context of their application in defining terrain types for the forest gap model. Refinements were made in the timescale of gap model’s weather model, converting it into a daily weather generator, in order to incorporate the effects of the new topographic/hydrologic input parameter. The precipitation model was converted to use a Markov model to initiate a sequence of wet and dry days for each month, and then daily precipitation amounts were determined using a gamma distribution. The output of the new precipitation model was analyzed and compared with a 100-year history of daily weather records at daily, monthly, and annual timescales. Model assumptions and requirements for biological parameters were thoroughly investigated and questioned. Often these biological parameters are based on little more than assumptions and intuition. An effort to base as many of the model’s biological parameters on measured data was made, including a new technique for estimating optimal volumetric growth rate by measuring tree rings. The gap model was set up to simulate various terrain types within the landscape.

Consideration of forest management at the landscape scale is essential if commitments to the conservation of biodiversity are to be upheld. The ecosystem management approach, developed largely in North America, has made use of various landscape modelling tools to assist in planning for biodiversity maintenance and ecological restoration. The roles of habitat suitability models, metapopulation models, spatially explicit population models (SEPMs) and forest landscape dynamics models (FLDMs) in the planning process are discussed and a review of forest dynamics models is presented. Potential is identified for developing landscape models in the UK for both landscape restoration projects and semi-natural woodland management. Glen Affric, in northern Scotland contains a large area of native pine and birch woodland and is the subject of a long-term restoration project. A new model, GALDR (Glen Affric Landscape Dynamics Reconstruction) is introduced and is believed to be the first FLDM developed for British woodland. The theory behind the model is described in detail and preliminary results and sensitivity analyses are presented. Furthermore, GALAM (Glen Affric Lichen Abundance Model), a new SEPM for the rare epiphytic lichen Bryoria furcellata is also described. Results of simulations from the linked GALDR and GALAM models are presented which shed light on the role of landscape heterogeneity in determining the dynamics of lichen habitats and populations. It is concluded that, whilst much work will be required to develop a management-oriented decision support system from the GALDR model, the modelling process may aid researchers in the identification of knowledge gaps in ecological theory relevant to management and restoration.

Les connaissances sur la morphologie de la Terre sont essentielles à la compréhension d’une variété de processus géomorphologiques et hydrologiques. Des avancées récentes dans le domaine de la télédétection ont significativement fait progresser notre habilité à se représenter la surface de la Terre. Parmi celles-ci, les données d’élévation LiDAR permettent la production de modèles numériques d’altitude (MNA) à haute résolution sur de grands territoires. Le LiDAR est une avancée technologique majeure permettant aux scientifiques de visualiser en détail la morphologie de la Terre et de représenter des reliefs peu prononcés, et ce, même sous la canopée des arbres. Une telle avancée technologique appelle au développement de nouvelles approches innovantes afin d’en réaliser le potentiel scientifique. Dans ce contexte, le présent travail vise à développer deux approches de cartographie numérique utilisant des données d’élévation LiDAR et servant à l’évaluation de la composition du sous-sol. La première approche à être développée utilise la localisation de crêtes de plage identifiées sur des MNA LiDAR afin de modéliser l’étendue maximale de la mer de Champlain, une large paléo-mer régionalement importante. Cette approche nous a permis de cartographier avec précision les 65 000 km2 autrefois inondés par la mer. Ce modèle sert à l’évaluation de la distribution des sédiments marins et littoraux dans les basses-terres du Saint-Laurent. La seconde approche utilise la relation entre des échantillons de matériel parental des sols (MPS) et des attributs topographiques dérivés de données LiDAR afin de cartographier à haute résolution et à une échelle régionale le MPS sur le Bouclier canadien. Pour ce faire, nous utilisons une approche novatrice combinant l’analyse d’image orientée-objet (AIOO) avec une classification par arbre décisionnel. Cette approche nous a permis de produire une carte du MPS à haute résolution sur plus de 185 km2 dans un environnement hétérogène de post-glaciation. Les connaissances issues de la production de ces deux modèles ont permis de conceptualiser la composition du sous-sol dans les régions limitrophes entre les basses-terres du Saint-Laurent et le Bouclier canadien. Ce modèle fournit aux chercheurs et aux gestionnaires de ressources des connaissances détaillées sur la géomorphologie de cette région et contribue à l’amélioration de notre capacité à saisir les services écosystémiques et à prédire les aléas environnementaux liés aux processus du sous-sol. / Knowledge of the earth’s morphology is essential to the understanding of many geomorphic and hydrologic processes. Recent advancements in the field of remote sensing have significantly improved our ability to assess the earth’s surface. From these, LiDAR elevation data permits the production of high-resolution digital elevation models (DEMs) over large areas. LiDAR is a major technological advance as it allows geoscientists to visualize the earth’s morphology in high detail, even allowing us to resolve low-relief landforms in forested areas where the surface is obstructed by vegetation cover. Such a technological advance calls for the development of new and novel approaches to realize the scientific potential of this new spatial data. In this context, the present work aims to develop two digital mapping approaches that use LiDAR elevation data for assessing the earth’s subsurface composition. The first approach to be developed uses the location of low-relief beach ridges observed on LiDAR-derived DEMs to map the extent of a large and regionally important paleo-sea, the Champlain Sea. This approach allowed us to accurately map the 65,000 km2 area once inundated by sea water. The model serves to the assessment of the distribution of marine and littoral sediments in the St. Lawrence Lowlands. The second approach uses the relationship between field-acquired samples of soil parent material (SPM) and LiDAR-derived topographic attributes to map SPM at high-resolution and at a regional scale on the Canadian Shield. To do so, we used a novel approach that combined object-based image analysis (OBIA) with a classification tree algorithm. This approach allowed us to produce a fine-resolution 185 km2 map of SPM in a heterogeneous post-glaciation Precambrian Shield setting. The knowledge obtained from producing these two models allowed us to conceptualize the subsurface composition at the limit between the St. Lawrence Lowlands and the Canadian Shield. This insight provides researchers and resource managers with a more detailed understanding of the geomorphology of this area and contributes to improve our capacity to grasp ecosystem services and predict environmental hazards related to subsurface processes.