Die Gewinnung von regional- und landschaftsplanerischen Aussagen zu wichtigen Themen aus den Funktionsbereichen des Natur- und Landschaftsschutzes sowie der natürlichen Erholungseignung erfordert die Verknüpfung jeweils mehrerer thematischer Datenebenen. Im Rahmen einer Landschaftsstrukturanalyse werden die Freiflächenzerschneidung, die Biotopvernetzung und die Ökotonlängen in ihrer räumlichen Ausprägung ermittelt. Durch GIS-gestützte Verschneidungsalgorithmen können Problemareale erkannt werden, in denen sich Nutzungsansprüche überlagern (beispielsweise sensible Bereiche mit Baugebietsstandorten). Andererseits können Bereiche herausgearbeitet werden, die aufgrund ihrer vielfältigen landschaftshaushaltlichen Funktionen eine hohe Wertigkeit besitzen.

Made available in DSpace on 2016-06-02T19:29:12Z (GMT). No. of bitstreams: 1 2558.pdf: 1966615 bytes, checksum: ca3cd9f285940de526c78cbf458005ce (MD5) Previous issue date: 2009-07-29 / There is an increase need for remote sensing data and associated analysis techniques in detecting and monitoring landscape change, particularly for resource management and planning. Information derived from remote sensing spatial data landscape has often been used to assist in the formulation of policies and provide insight into land-use patterns. To understanding human disturbance regimes for developing conservation and ecosystem management plan and for targeting ecological areas that define scarce ecosystems services this study has provided a landscape structure digital database at scales of observations that meet various mapping criteria (geology, geomorphology, pedology, hydrography, hypsometry, road net, settlements, legally protected areas and land-use of the São Félix Araguaia municipality. The monitoring current land-use for characterizing anthropogenic and natural surfaces was based on the use of the Systems of Geographical Information and image LandSat 5 TM. The pattern of land-use reflects the outcomes of more than one human process; for instance, cropland, pastureland and settlements expansion. Natural vegetation was the most abundant land use type, occupying 63.20% of the municipal district total area. Following forest, crop was the next most abundant land use type with 34.75% of the total area. The urban area value is incipient (0.76% of the total area), evidencing that the landscape changes are not influenced by the urban growth. In spite of the amount of forested areas in the municipality is important to point out that many of them are fragmented, isolated, or very close to areas in that the agriculture is the predominant activity. Regional and municipal planners require up-to-date information related to a digital database to effectively manage land development and plan for change. / Há uma necessidade crescente de informações georreferenciadas associadas com análises técnicas para detectar e monitorar mudanças na paisagem, particularmente para o planejamento e manejo dos recursos ambientais. Nesta perspectiva, o presente estudo propõe a elaboração de uma base de dados digitais da estrutura da paisagem do Município de São Félix do Araguaia MT, em uma escala de observação que contempla o mapeamento de vários critérios (geologia, geomorfologia, pedologia, hidrografia, hipsometria, malha viária, assentamentos, áreas legalmente protegidas e uso e ocupação da terra), para compreender a dinâmica dos distúrbios antrópicos no âmbito das áreas ecológicas que proporcionam serviços dos ecossistemas, como subsídio para avaliar o comprometimento de cada zona proposta e as dificuldades em implementar o Zoneamento Sócio-Ecológico-Econômico. A condição atual do uso da terra para caracterizar áreas antropogênicas e naturais do território municipal foi baseada no uso de Sistemas de Informações Geográficas e imagem LandSat 5 TM. O padrão de uso da terra reflete o resultado de ações desenvolvimentistas relacionadas com a expansão da agropecuária acompanhada da implantação dos assentamentos urbanos. O município apresenta em 2005 cerca de 60% de seu território coberto por vegetação natural e 35% de áreas ocupadas com atividades antrópicas agrícolas. A ocupação urbana ainda é incipiente, evidenciando que as mudanças na paisagem são pouco influenciadas pelo crescimento urbano. Apesar da quantidade significativa de áreas florestadas, muitas delas encontramse fragmentadas, isoladas ou próximas às áreas em que a agricultura é a atividade predominante. Os resultados deste trabalho são de grande utilidade aos tomadores de decisão, uma vez que as informações derivadas de dados espaciais da paisagem são essenciais à prospecção dos padrões de usos da terra e à formulação de políticas para o planejamento e manejo dos recursos ambientais, levando em consideração as diretrizes do Zoneamento Sócio-Econômico Ecológico do Estado de Mato Grosso.

Invasões biológicas representam atualmente a segunda maior ameaça à biodiversidade e dois fatores são considerados os mais importantes para o sucesso de invasões: pressão de propágulos e distúrbios. Um tipo de distúrbio antrópico que pode promover invasões, por mudar a quantidade de habitats alterados e a extensão de bordas entre eles e habitats nativos, é a perda de habitat. Apesar da reconhecida importância da pressão de propágulos e dos distúrbios, poucos estudos os investigaram simultaneamente e, os que o fizeram, apresentam limitações, como escalas espaciais pequenas e correlações entre os determinantes, dificultando a compreensão da importância relativa e interações entre eles. Cachorros são os carnívoros mais abundantes no mundo. Em áreas rurais, a maioria mantém comportamento de animal de vida de livre, interagindo com e afetando espécies nativas através de predação, transmissão de doenças e competição. Usando um banco de dados obtido através de armadilhas fotográficas e censo da população de cachorros em uma região de Mata Atlântica de 300,000 ha, avaliamos a importância relativa e interações entre pressão de propágulos e distúrbios para a invasão por cachorros. Selecionamos 12 paisagens de 2830 ha cada, variando de 10 a 50% de floresta nativa remanescente. Em cada uma, alocamos através de amostragem aleatória estratificada 8 pontos de amostragem em florestas nativas, onde uma armadilha fotográfica foi instalada por ∼42 dias consecutivos. Todos os domicílios em cada paisagem foram visitados para a contagem do número de cachorros. A pressão de propágulos foi quantificada como a densidade de cachorros criados e a média e mediana das distâncias entre os locais de criação e a floresta nativa mais próxima; e distúrbios, como a proporção da paisagem ocupada por floresta nativa e total (nativa e exótica) e a extensão de bordas entre florestas nativas e áreas abertas. Através da identificação de cachorros nas fotos e considerando cada paisagem como uma unidade amostral, nós comparamos por AICc modelos de abundância (N-mixture) para estimar a abundância de cachorros em florestas nativas, considerando a detecção imperfeita. O único modelo selecionado indica que a abundância de cachorros em florestas nativas é maior onde a densidade de cachorros é mais alta e a cobertura florestal total é menor (ωi=0.82). A densidade de cachorros criados foi mais importante que a distribuição espacial dos indivíduos, e a cobertura floresta total mais importante que a extensão de bordas, para a abundância de cachorros invasores. A abundância estimada de cachorros variou de 12 a 79 (30.9 ± 19.5), e a proporção de cachorros criados que invadem florestas de 6 a 21% (12 ± 6%), entre as paisagens. Nossos resultados indicam que a perda de habitat é tão importante quanto a pressão de propágulos para a invasão de florestas nativas por cachorros, mas seus efeitos são aditivos em vez de sinérgicos. Dado que cachorros frequentemente realizam movimentos longos em áreas abertas, nós levantamos a hipótese de que a capacidade de deslocamento é a causa do efeito desprezível da distribuição espacial dos indivíduos criados sobre a invasão, e que florestas representam barreiras a estes movimentos, tornando o efeito da cobertura florestal mais importante do que o efeito da extensão de bordas (mais relacionada a extensão de acesso a floresta). Além disso, o número e proporção de cachorros invasores são expressivos, colocando o cachorro na posição de carnívoro mais abundante em remanescentes florestais. Junto com os conhecidos impactos severos de cachorros sobre espécies nativas, estes números sugerem a urgência de planos de ação para controlar a invasão por cachorros. Além dos métodos tradicionais de controle populacional, o contexto da paisagem deve ser levado em conta nestes planos. Paisagens muito desmatadas devem ser priorizadas, e manter e restaurar florestas também devem ser valorizados pelos efeitos negativos sobre invasões biológicas. Por fim, dada a associação da invasão por cachorros com a perda de habitat e com a densidade de cachorros e da população humana, sugerimos que pelo menos parte dos efeitos negativos sobre mamíferos nativos usualmente atribuídos ao desmatamento e a caça podem ser causados pela invasão por cachorros / Biological invasions are currently the second main threat to biodiversity and two drivers are considered as the most important for invasions success: propagule pressure and disturbance. An anthropogenic disturbance that can promote invasions, by changing the amount of altered habitats and the extension of edges between altered and native habitats, is habitat loss. Despite the recognized importance of propagule pressure and disturbance, few studies have simultaneously investigated these factors, and those that did so present limitations, such as small spatial scales and correlations between drivers, impairing our understanding of the relative importance and interactions between these drivers. Dogs are the most abundant carnivores worldwide; in rural areas, most are free ranging, interacting and affecting native species through predation, disease transmission and competition. Using a camera trap dataset and censuses of dog populations obtained across a 300,000-ha Atlantic forest region, we evaluated the relative importance and interactions of propagule pressure and disturbance as drivers of dog invasion. We selected 12 2830-ha landscapes, ranging from 10 to 50% remaining native forest. Within each, we selected through a random-stratified sample 8 forest sites where a camera trap was set for ∼42 consecutive days. All households in each landscape were visited to count the number of dogs. Propagule pressure was quantified as the density of raised dogs, and mean and median distances between locations where dogs were raised and the nearest forest; and disturbance as the proportion of the landscape occupied by native forest and by total forest (native and exotic), and edge extension between native forest and open areas. By identifying individual dogs in the photos and considering each landscape as a sampling unit, we compared through AICc N-mixture models to estimate the abundance of dogs within forests, considering imperfect detection. The only selected model indicates that dog abundance in forests is higher where the density of raised dogs is higher and where total forest cover is lower (ωi=0.82). Density of raised dogs was more important than the spatial distribution of individuals, and total forest cover more important than edge extension, in determining the abundance of invading dogs. The estimated dog abundance varied from 12 to 79 (30.9 ± 19.5), and the proportion of raised dogs that invade forests from 6 to 21% (12 ± 6%), across landscapes. Our results indicate that habitat loss is as important as propagule pressure in driving the invasion of native forests by dogs, but their effects are additive rather than synergic. Given that dogs frequently make long movements in open areas, we hypothesize that dog vagility is the cause of the negligible effect of spatial distribution of raised individuals on invasion, and that forests represent barriers to these movements, making the effect of forest cover more important than the effect of edge extension (more related to the extension of access to forests). Moreover, the number and proportion of invading dogs are impressive, ranking dogs as the most abundant carnivore in forest remnants. Together with the known severe impacts of dogs on native species, these numbers suggest the urgency of action plans for controlling dog invasion. Beyond the traditional population control, landscape context should be taken into account within strategies to reduce impacts of dogs. Highly-deforested landscapes should be prioritized, and maintaining and restoring forests should be valued also by their negative effects on biological invasions. Finally, given the observed associations between dog invasion and both habitat loss and density of dogs and human populations, we suggest that at least part of the negative effects on native mammals currently attributed to deforestation and hunting can be caused by dog invasion

Os efeitos de borda e a alteração da estrutura das paisagens constituem consequências negativas da fragmentação florestal responsáveis por transformações nos processos ecológicos. Decorrentes da expansão desordenada de atividades antrópicas, estas alterações podem comprometer o futuro dos remanescentes florestais e a manutenção dos recursos naturais na superfície terrestre. Nesta dissertação a dinâmica da vegetação arbórea foi analisada em oito transectos perpendiculares às bordas de seis remanescentes florestais entre 1996 e 2012. As paisagens do entorno destes transectos foram caracterizadas a partir de imagens orbitais de 1995 e 2011 para a verificação das mudanças ocorridas no uso do solo e para a investigação da influência de seus parâmetros físicos e estruturais sobre as taxas de mortalidade e recrutamento de espécies. Os resultados indicaram que, ao longo do tempo, a influência das bordas se pronunciou em direção ao interior dos remanescentes florestais, enquanto que o contraste entre a borda e o interior se atenuou. A distância média da borda das espécies: pioneiras/iniciais, anemocóricas e de dossel foi significativamente maior em 2012 do que em 1996. A comunidade arbórea apresentou menor similaridade em sua composição ao longo do tempo a menores distâncias da borda. Apesar da dinâmica verificada no uso do solo, a proporcionalidade dos parâmetros físicos e estruturais das paisagens se manteve entre 1995 e 2011. De maneira geral, estes parâmetros apresentaram pouca influência sobre a dinâmica da comunidade arbórea. Apenas as taxas de mortalidade das espécies exóticas e as taxas de recrutamento das espécies pioneiras/inicias apresentam forte relação com o tamanho e o número dos fragmentos florestais nas paisagens. Estes resultados indicam que os efeitos de borda precisam ser atenuados e que o contexto das paisagens deve ser incorporado às estratégias conservacionistas para que estas sejam efetivas e o futuro dos remanescentes florestais não seja comprometido. / Edge effects and landscape structure alterations are among the negative consequences of forest fragmentation responsible for ecological process alterations on the earths surface. Originated from the disordered expansion of anthropogenic activities these alterations may endanger the remaining forest patches future and the maintenance of natural resources. This dissertation was pledged to analyze the vegetation dynamics at forest edges and its relations with landscape features. The vegetation dynamics was examined through eight perpendicular-to-edge transects within six forest patches and the alterations on the arboreal community distribution and composition were assessed between 1996 and 2012. The surrounding landscapes of the analyzed transects were characterized from 1995 and 2011 orbital images and its land use changes were evaluated. Landscape structure and physical parameters influence were analyzed over species recruitment and mortality. The results indicated that the distance of edge influence increased over time while its magnitude was attenuated. The average distance from the edge of pioneer/earlysuccessional species, wind-dispersed and canopy species in 2012 became significantly larger than in 1996. Over time lower similarities in species composition were found to be closer to the edges. Although the observed land use changes in the surrounding landscapes of the edge transects landscape structure and physical parameters proportionality was maintained between 1995 and 2011. Overall the arboreal community dynamics were poorly associated with landscape features. A strong relation of the variables was only found between the exotic and pioneer/early-successional species mortality and recruitment and the size and the amount of forest patches within the landscapes. These results indicate that to be effective conservation planning must tackled edge effects and incorporate the landscape context otherwise they will fail for the maintenance of the future of forest patches.

Der südöstliche Randbereich des Verdichtungsraumes Dresden ist sowohl naturräumlich als auch von der Nutzung her sehr heterogen strukturiert. Hier treffen die Naturräume des Elbtales, des Erzgebirgsvorlandes und der Sächsischen Schweiz aufeinander. Städtische Nutzungen wie Wohn- und Industriegebiete in den Städten Dresden, Heidenau und Pirna stehen ländlichen Nutzungen wie Ackerbau und Intensivobstbau, aber auch Rohstoffabbau in den Kiesgruben gegenüber. Ein Schwerpunkt der Arbeit in diesem Raum lag daher in der quantitativen Erfassung und flächenbezogenen Darstellung von Parametern, die die unterschiedlichen nutzungsbedingten Strukturen im Raum beschreiben und quantifizieren. Dabei standen folgende Fragen im Vordergrund: – Welche Parameter wurden bisher erfaßt und können herangezogen werden? – Wie lassen sich Methoden der Fernerkundung zur großräumigen Ableitung solcher Parameter verwenden? Welche Klassifizierungs- bzw. Filteralgorithmen müssen dazu eingesetzt werden? – Welche Informationen müssen zusätzlich über ein Geo-Informationssystem eingebracht werden? Um das Verhalten der Indizes auf unterschiedlichen räumlichen Ebenen untersuchen zu können, wurden Strukturmaße für die regionale Ebene und den gesamten Freistaat Sachsen bestimmt. Die Berechnung erfolgte mit dem Programm FRAGSTATS. Sowohl für Raster- als auch Vektordaten können damit Maßzahlen für Nutzungseinheiten („Patches“), Nutzungsklassen und für die gesamte Landschaftseinheit ermittelt werden.

Im Rahmen des vom Leibniz-Institut für ökologische Raumentwicklung e. V. (IÖR),Dresden, initiierten Projektes „Langzeituntersuchungen von Flächennutzungsänderungen“ wurde als ein Teilprojekt der Landschaftswandel in einer stadtnahen, ländlichen Region über den Zeitraum von 220 Jahren untersucht. Die Schwerpunkte des Gesamtprojektes liegen in der Konzipierung und Durchführung einer langzeitorientierten Erhebung von Flächennutzungsdaten, der Analyse der Entwicklungsdynamik sowie der Bewertung der Flächennutzungsänderungen in Bezug auf die Auswirkungen auf ausgewählte Landschaftsfunktionen. Die Beschreibung des Landschaftszustandes eines Gebietes zu unterschiedlichen Zeitpunkten erfordert neben Flächenbilanzen zur Zusammensetzung der Landschaft auch eine Quantifizierung der räumlichen Konfiguration der Landschaftselemente. Damit ist das Verteilungsmuster (engl.: landscape pattern) von kleinsten, je nach Erfassungs- und Betrachtungsmaßstab als weitestgehend homogen anzusehenden Einzelelementen (engl.: patch) gemeint. Der Ansatz der Landschaftsstrukturmaße (landscape metrics) bietet die Möglichkeit, solche räumlichen Untersuchungen durchzuführen und Landschaftsstrukturen zu quantifizieren.

Habitat variation is considered as an expression of biodiversity at landscape level in addition to genetic variation and species variation. Thus, effective methods for measuring habitat pattern at landscape level can be used to evaluate the status of biological conservation. However, the commonly used model (i.e. patch-corridor-matrix) for spatial pattern analysis has deficiencies. This model assumes discrete structures within the landscape without explicit consideration of “transitional zones” or “gradients” between patches. The transitional zones, often called “ecotones”, are dynamic and have a profound influence on adjacent ecosystems. Besides, this model takes landscape as a flat surface without consideration of the third spatial dimension (elevation). This will underestimate the patches’ size and perimeter as well as distances between patches especially in mountainous regions. Thus, the mosaic model needs to be adapted for more realistic and more precise representation of habitat pattern regarding to biodiversity assessment. Another part of information that has often been ignored is “small biotopes” inside patches (e.g. hedgerows, tree rows, copse, and scattered trees), which leads to within-patch heterogeneity being underestimated. The present work originates from the integration of the third spatial dimension in land-cover classification and landscape structure analysis. From the aspect of data processing, an integrated approach of Object-Based Image Analysis (OBIA) and Pixel-Based Image Analysis (PBIA) is developed and applied on multi-source data set (RapidEye images and Lidar data). At first, a general OBIA procedure is developed according to spectral object features based on RapidEye images for producing land-cover maps. Then, based on the classified maps, pixel-based algorithms are designed for detection of the small biotopes and ecotones using a Normalized Digital Surface Model (NDSM) which is derived from Lidar data. For describing habitat pattern under three-dimensional condition, several 3D-metrics (measuring e.g. landscape diversity, fragmentation/connectivity, and contrast) are proposed with spatial consideration of the ecological functions of small biotopes and ecotones. The proposed methodology is applied in two real-world examples in Germany and China. The results are twofold. First, it shows that the integrated approach of object-based and pixel-based image processing is effective for land-cover classification on different spatial scales. The overall classification accuracies of the main land-cover maps are 92 % in the German test site and 87 % in the Chinese test site. The developed Red Edge Vegetation Index (REVI) which is calculated from RapidEye images has been proved more efficient than the traditionally used Normalized Differenced Vegetation Index (NDVI) for vegetation classification, especially for the extraction of the forest mask. Using NDSM data, the third dimension is helpful for the identification of small biotopes and height gradient on forest boundary. The pixel-based algorithm so-called “buffering and shrinking” is developed for the detection of tree rows and ecotones on forest/field boundary. As a result the accuracy of detecting small biotopes is 80 % and four different types of ecotones are detected in the test site. Second, applications of 3D-metrics in two varied test sites show the frequently-used landscape diversity indices (i.e. Shannon’s diversity (SHDI) and Simpson’s diversity (SIDI)) are not sufficient for describing the habitats diversity, as they quantify only the habitats composition without consideration on habitats spatial distribution. The modified 3D-version of Effective Mesh Size (MESH) that takes ecotones into account leads to a realistic quantification of habitat fragmentation. In addition, two elevation-based contrast indices (i.e. Area-Weighted Edge Contrast (AWEC) and Total Edge Contrast Index (TECI)) are used as supplement to fragmentation metrics. Both ecotones and small biotopes are incorporated into the contrast metrics to take into account their edge effect in habitat pattern. This can be considered as a further step after fragmentation analysis with additional consideration of the edge permeability in the landscape structure analysis. Furthermore, a vector-based algorithm called “multi-buffer” approach is suggested for analyzing ecological networks based on land-cover maps. It considers small biotopes as stepping stones to establish connections between patches. Then, corresponding metrics (e.g. Effective Connected Mesh Size (ECMS)) are proposed based on the ecological networks. The network analysis shows the response of habitat connectivity to different dispersal distances in a simple way. Those connections through stepping stones act as ecological indicators of the “health” of the system, indicating the interpatch communications among habitats. In summary, it can be stated that habitat diversity is an essential level of biodiversity and methods for quantifying habitat pattern need to be improved and adapted to meet the demands for landscape monitoring and biodiversity conservation. The approaches presented in this work serve as possible methodical solution for fine-scale landscape structure analysis and function as “stepping stones” for further methodical developments to gain more insights into the habitat pattern. / Die Lebensraumvielfalt ist neben der genetischen Vielfalt und der Artenvielfalt eine wesentliche Ebene der Biodiversität. Da diese Ebenen miteinander verknüpft sind, können Methoden zur Messung der Muster von Lebensräumen auf Landschaftsebene erfolgreich angewandt werden, um den Zustand der Biodiversität zu bewerten. Das zur räumlichen Musteranalyse auf Landschaftsebene häufig verwendete Patch-Korridor-Matrix-Modell weist allerdings einige Defizite auf. Dieses Modell geht von diskreten Strukturen in der Landschaft aus, ohne explizite Berücksichtigung von „Übergangszonen“ oder „Gradienten“ zwischen den einzelnen Landschaftselementen („Patches“). Diese Übergangszonen, welche auch als „Ökotone“ bezeichnet werden, sind dynamisch und haben einen starken Einfluss auf benachbarte Ökosysteme. Außerdem wird die Landschaft in diesem Modell als ebene Fläche ohne Berücksichtigung der dritten räumlichen Dimension (Höhe) betrachtet. Das führt dazu, dass die Flächengrößen und Umfänge der Patches sowie Distanzen zwischen den Patches besonders in reliefreichen Regionen unterschätzt werden. Daher muss das Patch-Korridor-Matrix-Modell für eine realistische und präzise Darstellung der Lebensraummuster für die Bewertung der biologischen Vielfalt angepasst werden. Ein weiterer Teil der Informationen, die häufig in Untersuchungen ignoriert werden, sind „Kleinbiotope“ innerhalb größerer Patches (z. B. Feldhecken, Baumreihen, Feldgehölze oder Einzelbäume). Dadurch wird die Heterogenität innerhalb von Patches unterschätzt. Die vorliegende Arbeit basiert auf der Integration der dritten räumlichen Dimension in die Landbedeckungsklassifikation und die Landschaftsstrukturanalyse. Mit Methoden der räumlichen Datenverarbeitung wurde ein integrierter Ansatz von objektbasierter Bildanalyse (OBIA) und pixelbasierter Bildanalyse (PBIA) entwickelt und auf einen Datensatz aus verschiedenen Quellen (RapidEye-Satellitenbilder und Lidar-Daten) angewendet. Dazu wird zunächst ein OBIA-Verfahren für die Ableitung von Hauptlandbedeckungsklassen entsprechend spektraler Objekteigenschaften basierend auf RapidEye-Bilddaten angewandt. Anschließend wurde basierend auf den klassifizierten Karten, ein pixelbasierter Algorithmus für die Erkennung von kleinen Biotopen und Ökotonen mit Hilfe eines normalisierten digitalen Oberflächenmodells (NDSM), welches das aus LIDAR-Daten abgeleitet wurde, entwickelt. Zur Beschreibung der dreidimensionalen Charakteristika der Lebensraummuster unter der räumlichen Betrachtung der ökologischen Funktionen von kleinen Biotopen und Ökotonen, werden mehrere 3D-Maße (z. B. Maße zur landschaftlichen Vielfalt, zur Fragmentierung bzw. Konnektivität und zum Kontrast) vorgeschlagen. Die vorgeschlagene Methodik wird an zwei realen Beispielen in Deutschland und China angewandt. Die Ergebnisse zeigen zweierlei. Erstens zeigt es sich, dass der integrierte Ansatz der objektbasierten und pixelbasierten Bildverarbeitung effektiv für die Landbedeckungsklassifikation auf unterschiedlichen räumlichen Skalen ist. Die Klassifikationsgüte insgesamt für die Hauptlandbedeckungstypen beträgt 92 % im deutschen und 87 % im chinesischen Testgebiet. Der eigens entwickelte Red Edge-Vegetationsindex (REVI), der sich aus RapidEye-Bilddaten berechnen lässt, erwies sich für die Vegetationsklassifizierung als effizienter verglichen mit dem traditionell verwendeten Normalized Differenced Vegetation Index (NDVI), insbesondere für die Gewinnung der Waldmaske. Im Rahmen der Verwendung von NDSM-Daten erwies sich die dritte Dimension als hilfreich für die Identifizierung von kleinen Biotopen und dem Höhengradienten, beispielsweise an der Wald/Feld-Grenze. Für den Nachweis von Baumreihen und Ökotonen an der Wald/Feld-Grenze wurde der sogenannte pixelbasierte Algorithmus „Pufferung und Schrumpfung“ entwickelt. Im Ergebnis konnten kleine Biotope mit einer Genauigkeit von 80 % und vier verschiedene Ökotontypen im Testgebiet detektiert werden. Zweitens zeigen die Ergebnisse der Anwendung der 3D-Maße in den zwei unterschiedlichen Testgebieten, dass die häufig genutzten Landschaftsstrukturmaße Shannon-Diversität (SHDI) und Simpson-Diversität (SIDI) nicht ausreichend für die Beschreibung der Lebensraumvielfalt sind. Sie quantifizieren lediglich die Zusammensetzung der Lebensräume, ohne Berücksichtigung der räumlichen Verteilung und Anordnung. Eine modifizierte 3D-Version der Effektiven Maschenweite (MESH), welche die Ökotone integriert, führt zu einer realistischen Quantifizierung der Fragmentierung von Lebensräumen. Darüber hinaus wurden zwei höhenbasierte Kontrastindizes, der flächengewichtete Kantenkontrast (AWEC) und der Gesamt-Kantenkontrast Index (TECI), als Ergänzung der Fragmentierungsmaße entwickelt. Sowohl Ökotone als auch Kleinbiotope wurden in den Berechnungen der Kontrastmaße integriert, um deren Randeffekte im Lebensraummuster zu berücksichtigen. Damit kann als ein weiterer Schritt nach der Fragmentierungsanalyse die Randdurchlässigkeit zusätzlich in die Landschaftsstrukturanalyse einbezogen werden. Außerdem wird ein vektorbasierter Algorithmus namens „Multi-Puffer“-Ansatz für die Analyse von ökologischen Netzwerken auf Basis von Landbedeckungskarten vorgeschlagen. Er berücksichtigt Kleinbiotope als Trittsteine, um Verbindungen zwischen Patches herzustellen. Weiterhin werden entsprechende Maße, z. B. die Effective Connected Mesh Size (ECMS), für die Analyse der ökologischen Netzwerke vorgeschlagen. Diese zeigen die Auswirkungen unterschiedlicher angenommener Ausbreitungsdistanzen von Organismen bei der Ableitung von Biotopverbundnetzen in einfacher Weise. Diese Verbindungen zwischen Lebensräumen über Trittsteine hinweg dienen als ökologische Indikatoren für den „gesunden Zustand“ des Systems und zeigen die gegenseitigen Verbindungen zwischen den Lebensräumen. Zusammenfassend kann gesagt werden, dass die Vielfalt der Lebensräume eine wesentliche Ebene der Biodiversität ist. Die Methoden zur Quantifizierung der Lebensraummuster müssen verbessert und angepasst werden, um den Anforderungen an ein Landschaftsmonitoring und die Erhaltung der biologischen Vielfalt gerecht zu werden. Die in dieser Arbeit vorgestellten Ansätze dienen als mögliche methodische Lösung für eine feinteilige Landschaftsstrukturanalyse und fungieren als ein „Trittsteine” auf dem Weg zu weiteren methodischen Entwicklungen für einen tieferen Einblick in die Muster von Lebensräumen.

Diplomová práce Kolektivizace zemědělství a její promítnutí do krajiny ABSTRACT I searched changes in the cultural landscape structure in the relation with social processes in the time period 1937-2010 in my thesis. The research refers to the second half of 20th century, or more precisely, to the era of collectivization of Czechoslovak agriculture. In consequence of collectivization, the landscape was ecologically devastated and overall the nature of Czech countryside changed. Analysis of the landscape structure has form of case study of cadastral area of Široký Důl. I interpreted landscape changes from historical aerial photos and then analyzed the changes by geographical information systems. The results of those analyses are indicators (landscape metrics), by which I interpreted conditions of landscape in particular time. I confronted the changes in the landscape structure with social processes, which are described in theoretical part of thesis according to background research. Result of my thesis is general story of particular landscape, whose structure changed fundamentally in consequence of collectivization of agriculture. Key words: landscape structure, collectivization, landscape metrics, GIS, cultural landscape, aerial photos, Široký Důl

In spite tropical forests are the most important terrestrial global carbon sinks due to carbon storage in aboveground biomass, it is also the primary target of deforestation. The conversion of Tropical forests into anthropogenic areas might disrupt biological flux and also lead to severe microclimatic changes at forest edges. These combined effects can trigger profound changes in plant composition through both high mortality of fragmentation-sensitive species and proliferation of disturbed-adapted species which will ultimately impacts carbon storage. Thus, our main objective in this study was understand the role of human-induced disturbances in modulate the dimension of biomass loss at tropical forests. We applied a systematic literature review searching for empirical evidences that edge effects can drive biomass loss in tropical forests (Chapter 2). Our findings highlighted the gap of knowledge about the pattern and process related to biomass loss in tropical forests. To strengthen this understanding, we formulated a conceptual model linking landscape structure and patch-level attributes to severity of edge effects affecting aboveground biomass. Our model hypothesizes that habitat amount, isolation, time since edge creation, and the synergism between edge distance, patch size, and matrix type are the main drivers of biomass loss in anthropogenic tropical forests. We thus used a large plant dataset (18 503 trees ≥ 10 cm dbh) from 146 sites distributed across four Mexican and four Brazilian rainforest regions to test our conceptual model predictions, specifically the influence of forest cover, site isolation, edge distance, patch size and type of matrix on biomass (Chapter 3). We observed that carbon-rich sites presented species that are typical of old-growth forests (shade-tolerant, large-seeded, zoocoric) contrasting to carbon-poor sites composed by disturbed-adapted species (pioneer occupying the understory). Large shade-tolerant trees (≥ 40 cm dbh) were impacted severely by the combination of forest loss and edge effects. Edge distance, patch size, and the amount of open-matrix strongly influence small shade-tolerant trees (≤ 20 cm dbh). Although our results do not fully corroborate the initial predictions of the conceptual model, they support the idea that landscape composition interact with patch structure and ultimately impacts biomass stocks in fragmented tropical forests. Finally, we further investigated if the disturbance level of the region influences plant-structure responses to forest loss (Chapter 4). Biomass, but not plant density, was affected by forest loss in regions with intermediate disturbance levels, i.e. regions showing a combination of moderate deforestation (20-40% of remaining forest cover) disturbed during the past 30-60 years, high defaunation but harboring relictual populations of large-mammals, and areas mostly composed by heterogeneous matrices. In general, our findings highlight that both landscape composition and patch structure are the main drivers of biomass loss in Neotropical forests, and that the landscape context must be considered to obtain more reliable estimations of carbon emissions due to forest degradation. Landscape planning (e.g. restoration of forest cover) should be included in conservation strategies in order to sustain carbon storage. Moreover, we advocate that conservation initiatives will be less costly and more effective if implemented in areas under intermediate disturbance levels / Apesar das florestas tropicais serem a mais importante fonte mundial de carbono da porção terrestre do globo devido ao armazenamento de carbono na biomassa acima do solo, elas são também o alvo primário do desmatamento. A conversão das florestas Tropicais em áreas antropogênicas pode interromper o fluxo biológico e também levar a severas mudanças microclimáticas na borda dos fragmentos. A combinação desses efeitos pode engatilhar profundas mudanças na composição da vegetação através tanto da mortalidade de espécies sensíveis à fragmentação como também pela proliferação de espécies adaptadas distúrbios, com impactos finais nos estoques de carbono. Assim, o maior objetivo desse estudo foi compreender o papel dos distúrbios induzidos pelo homem na modulação da dimensão da perda de biomassa em florestas Tropicais. Nós aplicamos uma revisão sistemática da literatura procurando por evidências empíricas de que o efeito de borda pode levar a perda de biomassa em florestas tropicais (Capítulo 2). Nossos resultados destacam a lacuna de conhecimento entre padrões e processos relacionados à perda de biomassa em florestas Tropicais. Para fortalecer esse conhecimento, nós formulamos um modelo conceitual conectando estrutura da paisagem e atributos na escala do fragmento à severidade do efeito de borda, e assim afetando a biomassa acima do solo. Nosso modelo hipotetiza que a quantidade de hábitat, o isolamento, o tempo desde a formação da borda e o sinergismo entre tamanho do fragmento, distância da borda e tipo de matriz são os principais condutores de perda de biomassa em florestas Tropicais antropogênicas. Utilizando um grande banco de dados (18 503 árvores ≥ 10 cm dap) provenientes de 146 locais distribuídos em quatro regiões de floresta úmida no México e quatro no Brasil, nós então testamos as predições do nosso modelo conceitual. Especificamente, a influência da cobertura florestal, isolamento, distância da borda, tamanho do fragmento e tipo de matriz sobre a biomassa (Capítulo 3). Nós observamos que áreas com muito carbono apresentaram espécies típicas de florestas maduras (tolerantes ao sombreamento, zoocóricas, com sementes grandes) contrastando com áreas com pouco carbono compostas por espécies adaptadas à distúrbio (pioneiras ocupando o sub-bosque). Árvores grandes tolerantes ao sombreamento (≥ 40 cm dap) foram impactadas severamente pela combinação de perda de cobertura florestal e efeitos de borda. Distância da borda, tamanho do fragmento e a extensão da área de matriz aberta influenciaram fortemente as árvores pequenas tolerantes a sombreamento (≤ 20 cm dap). Apesar dos nossos resultados não corroborarem completamente as predições iniciais do nosso modelo conceitual, eles dão suporte à ideia de que a composição da paisagem interage com a estrutura do fragmento com impactos finais nos estoques de biomassa em florestas Neotropicais. Por fim, nós investigamos se o nível de distúrbio da região pode influenciar nas respostas da estrutura da vegetação à perda de cobertura florestal. Biomassa, mas não a densidade de indivíduos, foi afetada pela perda de cobertura florestal em regiões com nível intermediário de distúrbio, i.e. regiões apresentando uma combinação de níveis moderados de desmatamento (20-40% de cobertura florestal remanescente) em que a perturbação ocorreu ao longo dos últimos 30-60 anos, com alto grau de defaunação mas ainda abrigando populações relictuais de grandes mamíferos e, em sua maioria, compostos por uma matriz heterogênea. Em geral, nossos resultados destacaram que tanto a composição da paisagem como a estrutura do fragmento são os principais condutores de perda de biomassa em florestas Neotropicais e que o contexto da paisagem deve ser considerado para se obter estimativas mais confiáveis de emissão de carbono devido à degradação florestal. O planejamento da paisagem (e.g. restauração da cobertura florestal) deve ser incluído em estratégias de conservação em ordem de sustentar o armazenamento de carbono. Além disso, nós defendemos que iniciativas de conservação serão menos custosas e mais efetivas se implementadas em áreas sob níveis intermediários de distúrbio

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