Der Bericht gibt durch eine Vielzahl von Auswertungskarten auf Basis der aktuellen Biotoptypen- und Landnutzungskartierung (BTLNK 2005) einen Überblick über die im Luftbild erkennbare Naturausstattung und Landnutzung in Sachsen. Daneben enthält er wesentliche Hinweise zu einem fachlich sinnvollen Einsatz der BTLNK 2005 und ist damit zusammen mit der Kartieranleitung eine wichtige Informationsquelle für alle Nutzer dieses Kartenwerkes. Die BTLNK 2005 ist eine flächendeckende, digitale Karte der im Luftbild erkennbaren Biotoptypen und Landnutzung. Sie wurde durch die Auswertung von Luftbildern (hochgenaue digitale Colorinfrarot-Orthophotos) aus dem Jahre 2005 erzeugt und wird durch das LfULG zur Verfügung gestellt.

Šio darbo tikslas buvo išstudijuoti elninių žvėrių (briedžių, tauriųjų elnių ir europinių stirnų) gausumą 2009-2010 m. žiemojimo periodu Kuršėnų urėdijos miškuose ir palyginti skirtingų miškų gautus rezultatus. Tyrimai atlikti 18 miškų, naudojant McCain netiesioginę elninių žvėrių apskaitą pagal jų paliekamus ekskrementus bei Aldous medžių pažeidimo metodą. Pagal atliktus tyrimus, vidutinis elninių žvėrių tankumas Kuršėnų urėdijos miškuose 2009-2010 m. žiemojimo periodu buvo 14, 7 individų tūkstančiui hektarų. Briedžių tankumas tirtame regione buvo du kartus didesnis, lyginant su vidutiniu briedžių tankumu visoje Lietuvos teritorijoje, tauriųjų elnių – labai panašus, o stirnų buvo dvigubai mažesnis. Taigi, tirtuose miškuose yra gausu stambiųjų elninių, tačiau jie konkuruoja su stirnomis. Vidutinis briedžių ir tauriųjų elnių tankumas tirtuose miškuose atitinka ekologinį ir ūkiškai leistiną elninių žvėrių gausumą Lietuvos miškams, o stirnų yra du kartus mažesnis, tačiau, atsižvelgiant į mitybinę konkurenciją, taurusis elnias laikomas pagrindine elninių žvėrių rūšimi tirtoje vietovėje, tad pagrindinis dėmesys turėtų būti skiriamas jo populiacijų gausinimui. Elniniai žvėrys pagal mitybos specializaciją renkasi skirtingus biotopus. Didžiausias briedžių gausumas nustatytas krūmynuose, tauriųjų elnių – pievose, o europinių stirnų – dirbamų laukų biotopuose. Vidutinis dendrofloros panaudojimo pašarams intensyvumas Kuršėnų urėdijos miškuose buvo 18,5 %, bet netgi didžiausi pažeidimai... [toliau žr. visą tekstą] / The aim of this study was to find out the density of cervids during wintering period in Kušėnai forests and to compare gathered data with density in different forest. The research have been conducted in 18 forests, using McCain indirect record by excrement and Aldous trees damage method. Studies have shown that the average density of cervids in surveyed areas is 14.7 individuals per thousand hectares. Moose density in this region is twice higher than average moose density in whole Lithuania, red deer – very similar, roe deer density is half lower. Therefore, explored forests is rich of large ungulate mammals, but they compete with roe deers. The average abundance of red deer and moose satisfies commercially and ecologicaly acceptable ones, also roe deer density is more than two times smaller, bur in aspect of the competition diet, red deer is considered to be the main cervid species in studied forests, so more attention should be paid to increase their population. Cervids by specificity of their species in different forests choose similar biotopes. The highest abundance of moose were in scrubs, red deer – in meadows, roe deer – in cultivated fields. The average of tree damage in stydy areas is 18.5 percent, but even the highest nutrient load does not exceed the recommended rate (30–40 %), so there is no danger to natural forest regeneration.

A procedural generation of landscapes often meets a need for real spatial data at finer resolution that data available at the moment. We introduce a method that refines the spatial data at the coarse resolution into the finer resolution utilizing other data sources which are already at the better resolution. We construct weighted local linear statistical models from both the coarse and utility data and use the by- models-learned dependencies between the data sources to predict the needed data at better resolution. To achieve higher computational speed and evade utility data imperfection, we utilize truncated singular value decomposition which reduce a dimensionality of the data space we work with. The~method is highly modifiable and its application shows plausible real-like results. Thanks to this, the method can be of practical use for simulation software development. Powered by TCPDF (www.tcpdf.org)

The background to this thesis is Australia’s Oceans Policy, which aims to develop an integrated and ecosystem-based approach to planning and management. An important part of this approach is the identification of natural regions in regional marine planning, for example by establishing marine protected areas for biodiversity conservation. These natural regions will need to be identified on a range of scales for different planning and management actions. The scale of the investigation reported in this thesis is applicable to spatial management at 1 km to 10 km scale and monitoring impacts at the 10s of m to 1 km biotope scale. Seabed biotopes represent a combination of seabed physical attributes and related organisms. To map seabed biotopes in deep water, remote sensing using a combination of acoustic, optical and physical sensors is investigated. The hypothesis tested in this thesis is that acoustic bathymetry and backscatter data from a Simrad EM1002 multi-beam sonar (MBS) can be used to infer (act as a surrogate of) seabed biotopes. To establish a link between the acoustic data and seabed biotopes the acoustic metrics are compared to the physical attributes of the seabed in terms of its substrate and geomorphology at the 10s m to 1 km scale using optical and physical sensors. At this scale the relationship between the dominant faunal functional groups and both the physical attributes of the seabed and the acoustic data is also tested. These tests use data collected from 14 regions and 2 biomes to the south of Australia during a voyage in 2000. Based on 62 reference sites of acoustic, video and physical samples, a significant relationship between ecological seabed terrain types and acoustic backscatter and bathymetry was observed. / These ecological terrain types of soft-smooth, soft-rough, hard-smooth and hard-rough were chosen as they were the most relevant to the biota in their ability to attach on or burrow into the seabed. A seabed scattering model supported this empirical relationship and the overall shape of backscatter to incidence angle relationship for soft and hard seabed types. The correlation between acoustic data (backscatter mean and standard deviation) and the visual and physical samples was most consistent between soft-smooth and hard-rough terrain types for a large range of incidence angles (16o to 70o). Using phenomenological backscatter features segmented into 10 common incidence angle bins from -70o to 70o the length resolution of the data decreased to 0.55 times depth. The decreased resolution was offset by improved near normal incidence (0o to 30o) seabed type discrimination with cross validation error reducing from 32% to 4%. A significant relationship was also established between the acoustic data and the dominant functional groups of fauna. Faunal functional groups were based on the ecological function, feeding mode and substrate preference, with 8 out of the 10 groups predicted with 70% correctness by the four acoustically derived ecological terrain types. Restricting the terrain classification to simple soft and hard using the acoustic backscatter data improved the prediction of three faunal functional groups to greater than 80%. Combining the acoustic bathymetry and backscatter data an example region, Everard Canyon, was interpreted at a range of spatial scales and the ability to predict the preferred habitat of a stalked crinoid demonstrated. / Seabed terrain of soft and hard was predicted from the acoustic backscatter data referenced to a common seabed incidence angle of 40o. This method of analysis was selected due to its combined properties of high spatial resolution, consistent between terrain discrimination at the widest range of incidence angles and consistent data quality checking at varying ranges. Based in part on the research reported in this thesis a mid-depth Simrad EM300 multibeam sonar was purchased for use in Australian waters. A sampling strategy is outlined to map all offshore waters with priority within the 100 m to 1500 m depths.

This diploma thesis deals with the importance of semi-natural biotopes for the carabid beetles (Coleoptera: Carabidae) and benefits of these beetles for the production of the oilseed rape. Evaluation was done by measuring the diversity of communities of carabid beetles by pitfall trapping followed by the evaluation of total abundance, Shannon´s diversity index and the Shannon´s evenness index in the field oilseed rape and in the adjacent semi-natural biotopes. Diversity was measured at two locations (location A, B). Monitored biotopes of the location A were the meadow, the field, the unmanaged field boundary and the forest. At the site B, monitored biotopes were the meadow and the field. Carabid beetles were captured in one-week intervals continuously from May to September 2013. In total 3076 individuals represented by 78 species were captured. The most numerous species in samples were Poecilus cupreus, Pterostichus melanarius, Poecilus versicolor, Pseudoophonus rufipes and Loricera pilicornis, which formed together 72 % of the total numbers. The monitored biotopes of location A did not differ significantly in total abundance (p = 0.13) nor in the Shannon´s eveness (p = 0.43). They differed by the diversity index (p = 0.03), but this accounted for difference between the field boundary and the forest biotopes (p = 0.04). No difference in the three measured parameters were found by the comparison the field sites and next semi-natural sites at locality A (i.e. meadow A/field A1, forest/field A2), nor by comparing the biotopes field and meadow in both the localities (A, B) in one model (p < 0.05). The results suggest the importance of the immigration of carabid from the semi-natural biotopes into the field, which supports the field populations of carabids and the ecosystem service of biological control provided by them.

>Magister Scientiae - MSc / Antarctica is known for its pristine environments. A variety of unsuitable environmental conditions were once thought to render the continent unsuitable for sustaining life. However, metagenomic data have revealed a wealth of species diversity in a range of biotopes.Hypolithons, photosynthetic communities which live under translucent rocks in climatically extreme environments, are an important input source for both carbon (C) and nitrogen (N) in this hyperarid desert environment. Microbial contribution to biogeochemical cycling resulting in fixation of both C and N remains poorly understood. Moreover, there is a reported close interplay between both cycles, with nitrogen being reported to be a limiting factor in carbon assimilation.In this study the diversity of C and N fixing organisms was investigated by using the cbbL and nifH genes as phylogenetic and functional markers. High Molecular weight metagenomic DNA and RNA was extracted from hypolithons. PCR amplification was carried out using cbbL (800 bp for red-like, 1,100 bp for green-like) and nifH (360 bp) gene specific primers.Resultant PCR products were used to construct libraries which were screened for correct sized inserts. Restriction Fragment Length Polymorphism (RFLP) was used to de-replicate clones prior to sequencing. Phylogenetic positions from both clone libraries were established by aligning nucleotide sequences and constructing similarity trees using NJ clustering methods.BLASTn results indicated the presence of previously uncultured organisms which contain cbbL and nifH genes. BLASTn results were characterized by low percentages of maximum identity (typically <95%), a potential indicator of novel taxa. Sequences from respective libraries clustered with cyanobacteria such as Nostoc, Scytonema, and Tolypothrix and α-, β-, and γ-Proteobacteria such as Azotobacter, Agrobacterium and Mesorhizobium. Generally sequence results indicate a largely homogenous, being dominated by specific taxa. Each group may contain potential keystone species, essential for both biogeochemical cycling in oligotrophic environment.

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.

Magistro darbe vertinama medynų įvairovė biologinės įvairovės požiūriu ir nustatomos teritorijos palankiausios biologinei įvairovei ir jos apsaugai. Darbo objektas – VĮ Švenčionėlių miškų urėdijos Januliškio girininkijos teritorija. Darbo tikslas – įvertinti Januliškio girininkijos medynus biologinės įvairovės požiūriu ir nustatyti palankiausiais biologinei įvairovei ir jos apsaugai teritorijas. Darbo metodai – 1975 m., 1985 m., 1999 m., ir 2009 m. miškotvarkų duomenų analizavimas ir nustatytų medynų rūšinės įvairovės rodiklių vertinimas, bei remiantis girininkijoje esančiomis saugomomis teritorijomis, kertinėmis miško buveinėmis ir retomis rūšimis, charakterizuojama girininkijos biologinė įvairovė ir nustatomos jos koncentracijos vietos. Darbo rezultatai. Atlikus tyrimus nustatyta, kad Januliškio girininkijoje tenkančio miško masyvo dalyje 1975 m. augo 6, 1985 m. – 7, o 1999 – 2009 m. po 9 medžių rūšių. Tai lėmė liepos, baltalksnio, ąžuolo, uosio, gluosnio ir maumedžio atsiradimas medynuose. Nagrinėjimu laikotarpiu yra pastebimas pušynų mažėjimas, jie sumažėjo 6,4%, tačiau tuo pačiu laikotarpiu yar fiksuojamas eglynų kiekio didėjimas medynų sudėtyje. Jų kiekis medyne padidėjo 4%. Nagrinėtų įvairovės, proporcingumo bei vyravimo rodiklių dinamika rodo medynų rūšinės įvairovės didėjimą iki 1985 m. ir mažėjimą po 1985 m. Nagrinėjant atskirų augaviečių medynų rūšinės įvairovės dinamiką 1975 – 2009 m., pastebėta, kad didžiausia rūšinė įvairovė buvo Nb, Nc, Lc ir Uc augavietėse... [toliau žr. visą tekstą] / In this final master degree work the stands of Januliškis Forestry are evaluated from the perpective of biodiversity and the most favorable environment for biodiversity and it‘s protection is determined. The object of the work – The teritory of SE Švenčionėliai State Forest Januliškis Forestry. The aim of the study – To evaluate Januliškis Forestry stands from the perspective of biodiversity and to determine the most favorable teritories for biodiversity and it‘s protection. Working methods – the analysis of 1975 yr., 1985 yr., 1999 yr., and 2009 yr. data about forest order, the assessment of stands‘ species diversity rates and the characterization of the forestry biological diversity and determination of concentration points based on protected teritories, key biotopes and rare species that are found in the teritory of particular forestry. Study results – The reasearch showed that in the part of the forest which belongs to Juniliškis Forestry in 1975 there were 6 tree species, in 1985 – 7, and in 1999 – 2009 there could be found 9 tree species. This happened due to linden, gray alder, oak, ash, willow and larch stands appearance. In the analyzed period the decrease in number of pines by 6,4% can be observed, on the other hand, at the same time the increase in number of spruces by 4 % is traced. The dynamics of analyzed diversity, proportion and predominance rates indicates the growth of stands‘ species diversity till 1985 and it‘s abatement after 1985. While analysing the... [to full text]

Based on light trapping carried out in 2010, I studied moth communities of the Koda National nature reserve, part of Český kras landscape protected area, in order to compare moth communities inhabiting major biotope types within the reserve. The obtained material consisted of 295 species in 4455 individuals. Steppe enclaves hosted more species than overgrown coppices and beech-dominated high forests. Ordination analyses distinguished between steppe and forest biotopes. Steppe catches differed from forest catches in habitat associations of constituent species (more species of grassland habitats), whereas the two forest types did not differ in this. Identical patterns applied for all moths analysed together and for analyses restricted to Geometridae and Noctuidae moths. Steppic enclaves represent the most valuable sites within the Koda reserve.

Made available in DSpace on 2016-06-02T20:00:35Z (GMT). No. of bitstreams: 1 3313.pdf: 8808866 bytes, checksum: 880469e967871859ca0064bd68e0073d (MD5) Previous issue date: 2010-09-14 / Financiadora de Estudos e Projetos / Landscape appropriation, occupation and management processes currently used by human beings have generated conflicts which may lead to environmental quality deterioration. In face of its constant development and the need for territorial expansion, new planning models must be proposed considering as main premise the maintenance of environmental integrity and maximization of available scenic resources. Based on scenery ecology, this research discusses the elements of landscape and the importance of integrating ecological concepts in territorial process undertaken by humans. As a case study, an area from the municipal district of São João da Boa Vista in São Paulo state, with potential for urban expansion and conservation of important remaining fragments of seasonal semideciduous forest belonging to the atlantic forest biome, was selected. The study area was chosen based on its biophysical characteristics, use and land occupation, which occur throughout the district, allowing the expansion of the resulting proposal to other areas. Anthropogenic and natural biotopes identification and characterization, which compose the study area scenery mosaic, were conducted using Geographic Information Systems (ArcGIS 9.2 ESRI) in order to unify the information gathered in field surveys, scientific research and satellite image interpretation. Afterwards, thematic maps were generated assisting the accomplishment of a preliminary study aimed to integrate planning between anthropic and natural environment. Starting from the conservation principle, reasonable and sustainable use of natural resources, four spaces were proposed with specific use levels: protection of environmental resources, connectivity, buffering and interaction between humans and nature. As a result, a thematic map was developed with the desired environmental scenario, providing guidelines to decision makers and civil society in order to conduct municipal planning along with environmental responsibility. / Os processos de apropriação, ocupação e manejo das paisagens utilizadas pelo ser humano em seu momento atual têm gerado conflitos que podem acarretar a deterioração de sua qualidade ambiental. Diante de seu constante desenvolvimento e da necessidade de expansão territorial, devem ser propostos novos modelos de planejamento que consideram como premissa principal a manutenção da integridade ambiental e a maximização dos recursos paisagísticos disponíveis. Tendo como base a ecologia de paisagem, esta pesquisa realiza discussão sobre os elementos constituintes das paisagens e a importância da incorporação de conceitos ecológicos no processo de territorialização empreendido pelo ser humano. Como estudo de caso, optou-se por uma área do município de São João da Boa Vista, estado de SP, com potencial para a expansão urbana e conservação de importantes fragmentos remanescentes de floresta estacional semidecidual, formação pertencente ao bioma mata atlântica. A área de estudo foi escolhida com base em características biofísicas e de uso e ocupação do solo que ocorrem em todo o município, permitindo a expansão da proposta resultante para outros locais. Por meio da utilização dos Sistemas de Informações Geográficas (ArcGIS 9.2 ESRI) para reunir as informações obtidas em levantamentos de campo, pesquisa científica e interpretação de imagem orbital, foram realizadas a identificação e a caracterização dos biótopos antrópicos e naturais que constituem o mosaico paisagístico da área de estudo. Posteriormente, foram elaboradas cartas temáticas que auxiliaram na realização de um estudo preliminar para o planejamento integrado entre o meio antrópico e o natural. Partindo-se do princípio da conservação e da utilização racional e sustentável dos elementos naturais, foram propostos quatro espaços com níveis específicos de uso: de proteção dos recursos ambientais, de conectividade, de amortecimento e de interação entre ser humano e natureza. Como resultado, foi obtida uma carta temática com o cenário ambiental pretendido, fornecendo uma contribuição aos tomadores de decisão e à sociedade civil na condução de um planejamento municipal com responsabilidade ambiental.