This research demonstrates the ability to integrate a computer simulation model with a geographic information system (GIS) to predict forest community dynamics in both the spatial and temporal dimensions. A landscape scale computer simulation model, LANDSIM, was coupled with the Arc/Info GIS to simulate the interaction of forest fires and forest succession at Bryce Canyon National Park, Utah, and to produce maps of the predicted community types. The sensitivity of the model was tested with respect to the fire return interval, maximum neighbor spread, and the effect of slope upon the spread of simulated fires. The model predicts that each fire return interval will result in an unique distribution of community types upon the landscape. The model's results are discussed in terms of their implications for management alternatives at Bryce Canyon National Park.

No description available.

No description available.

A transition model (MOSAIC) is used to describe forest dynamics at the landscape scale. The model uses a semi-Markov framework by considering transition probabilities and Erlang distributed holding times in each transition. Parameters for the transition model are derived from a gap model (ZELIG). This procedure ensures conceptual consistency of the landscape model with the fine scale ecological detail represented by the forest gap model. Spatial heterogeneity in the transition model is driven by maps of terrain with characteristics contained in a Geographic Information System (GIS) database. The results of the transition model simulations, percent cover forest type maps, are exported to grid-maps in the GIS. These cover type maps can be classified and used to describe forest dynamics using landscape statistics metrics. The linkage model-GIS enhances the transition model spatial analytical capabilities. A parameterization algorithm was developed that takes as input gap model tracer files which contain the percent occupation of each cover type through time. As output, the algorithm produces a file that contains the parameter values needed for MOSAIC for each one of the possible transitions. Parameters for the holding time distribution were found by calculating an empirical estimate of the cumulative probability function and using a non-linear least squares method to fit this estimate to an Erlang distribution. The algorithm provided good initial estimates of the transitions parameters that can be refined with few additional simulations. A method for deriving classification criteria to designate cover types is presented. The method uses cluster analysis to detect the number and type of forest classes and Classification and Regression Tree (CART) analysis to explain the forest classes in term of stand attributes. This method provided a precise and objective approach for forest cover type definition and classification. The H. J. Andrews forest in Oregon was used to demonstrate the methods and procedures developed in this study.

Desde a revolução industrial, o consumo de combustíveis fósseis pelo homem vem crescendo em ritmo acelerado. Com isso, aumentam também as concentrações dos chamados gases-estufa (CO2, CH4 e NxO). Isso gera alterações no clima, causando mudanças em fatores bióticos e abióticos, tanto em ambientes naturais quanto em ambientes urbanos. Algumas dessas mudanças são típicas de ambientes urbanos, como as Ilhas de Calor Urbanas e a Inversão Térmica, e devido ao fato de grande parte da população atual viver neste tipo de ambiente, acabam causando diversos problemas de saúde. É importante, portanto, conhecer como o clima destes ambientes tem se comportado nos últimos anos, e isso é possível através da análise dos anéis de crescimento de árvores urbanas. Além disso, os dados de crescimento podem ser utilizados para calibrar modelos de dinâmica florestal. Sendo assim, o presente trabalho pretende construir cronologias de anéis de crescimento de cedro (Cedrela fissilis L.) da cidade de São Paulo, e utilizá-las para reconstruir o clima do último século para essa cidade, além de usar estes dados de crescimento para a parametrização de novos elementos em um modelo de dinâmica florestal já existente. Para isso, utilzou-se 43 indivíduos coletados em 4 localidades da cidade de São Paulo, que foram colados em suporte, polidos, datados, fotografados e tiveram a largura dos anéis de crescimento medidas. Além disso, também tomou-se medidas de áreas de vaso para alguns anéis pré-determinados. As larguras dos anéis foram utilizadas para a construção de cronologias, que posteriormente foram usadas para a criação de modelos de reconstrução climática. Foi possível encontrar relações entre precipitação e temperatura e o crescimento das árvores para dois dos locais de coleta, sendo que para um deles foi possível reconstruir estas variáveis climáticas para determinados meses do ano. Com os dados de crescimento, foi possível parametrizar uma nova equação inserida no modelo de Falster et al., 2011, que insere o efeito de temperatura na parte do modelo relacionada à fotossíntese da espécie simulada. Após a inserção da nova equação, foi possível observar mudanças na periodicidade dos ciclos de recrutamento da floresta. / Since the Industrial Revolution, fossil fuel consumption by man has been rising steeply. This way the concentration of greenhouse-gases (CO2, CH4 and NxO) rise too. That causes the climate to change, generating alterations in biotic and abiotic factors both in natural and urban environments. Some of these changes are typical from urban environments such as Urban Heat Islands and Thermal Inversion, and since great part of human population live in this type of environment, health problems are common. Thus it is important to know how the climate have behaved in this environments in the past years, and this is possible by analyzing the tree rings from urban trees. Furthermore, growth data can be used to calibrate forest dynamic models. Therefore the present work aims to build tree-ring chronologies of cedro (Cedrela fissilis L.) from the city of São Paulo, and to use them to reconstruct climate for the last century in this city, in addition to use these growth data to parameterize new elements in an existent forest dynamic model. For this, 43 individuals were sampled in 4 different sites in São Paulo, which were glued in wood support, sanded, dated, photographed and had their growth rings measured. Furthermore vessel area was measured for some predetermined rings. The growth rings widths were used to build chronologies, that were later used to generate climate reconstruction models. It was possible to fin relations between temperature and precipitation and the tree growth in 2 of the sampling sites, and in one it was possible to build reconstruction models for some months. With growth data, it was possible to parameterize a new equation inserted in Falster et al. Model, which inputs temperature effect in the photosynthesis-related part of the model. After inputting the new equation it was possible to observe changes in the periodicity of the recruitment cycles in this forest

No description available.

Forest ecosystems are being altered by climate change, invasive species, and additional stressors. Our ability to detect these changes and quantify their impacts relies on detailed data across spatial and temporal scales. This dissertation expands the ecological utility of long-term satellite imagery by developing high quality forest mapping products and examining spatiotemporal changes in tree species abundance and phenology across the northeastern United States (US; the ‘Northeast’). Species/genus-level forest composition maps were developed by integrating field data and Landsat images to model abundance at a sub-pixel scale. These abundance maps were then used to 1) produce a more detailed, accurate forest classification compared to similar products and 2) construct a 30-year time-series of abundance for eight common species/genera. Analyzing the time-series data revealed significant abundance trends in notable species, including increases in American beech (Fagus grandifolia) at the expense of sugar maple (Acer saccharum). Climate was the dominant predictor of abundance trends, indicating climate change may be altering competitive relationships. Spatiotemporal trends in deciduous forest phenology – start and end of the growing season (SOS/EOS) – were examined based on MODIS imagery from 2001-2015. SOS exhibited a slight advancing trend across the Northeast, but with a distinct spatial pattern: eastern ecoregions showed advance and western ecoregions delay. EOS trended substantially later almost everywhere. SOS trends were linked to winter-spring temperature and precipitation trends; areas with higher elevation and fall precipitation anomalies had negative associations with EOS trends. Together, this work demonstrates the value of remote sensing in furthering our understanding of long-term forest responses to changing environmental conditions. By highlighting potential changes in forest composition and function, the research presented here can be used to develop forest conservation and management strategies in the Northeast.

Natürliche Standorte der Waldkiefer gibt es in Deutschland nur kleinflächig. Während Kiefernforste anstelle natürlicher Laubwälder heute oft landschaftsprägend sind, bildet die konkurrenzschwache und lichtbedürftige Kiefer ausschließlich auf extrem trockenen oder nassen, nährstoffarmen Standorten naturnahe Schlusswaldgesellschaften. Regionale Schwerpunkte liegen in subkontinentalen Regionen wie dem nordostdeutschen Tiefland und Bayern, ein „natürliches Kiefernareal" lässt sich aber kaum abgrenzen. An der Trockengrenze des Waldes finden sich auf Kalk- und Dolomitgesteinen artenreiche Karbonat-Trockenkiefernwälder mit Elementen der alpinen Rasen und Kalkmagerrasen in der Bodenvegetation. Diese Wälder besiedeln steile, südexponierte Felsen und morphodynamisch aktive Bereiche wie Rutschhänge und FlussSchotterböden im Umkreis der Alpen, kommen aber auch in den Mittelgebirgen vor. Ihr Gegenstück auf sauren Standorten sind die Sand- und Silikat-Kiefernwälder der Quarzsande und Sandstein-Verwitterungsböden, deren Bodenvegetation durch Zwergsträucher, Moose und Strauchflechten geprägt ist. Hier siedelt die Kiefer in den Tieflagen besonders auf Binnendünen und Sandern, aber auch auf Küstendünen der Ostsee, in den Mittelgebirgen z. B. auf den Sandsteinriffen der Sächsischen Schweiz. Der dritte Wuchsbereich natürlicher Kiefernwälder sind saure, nährstoffarme Moore, die ganz überwiegend von Regenwasser gespeist werden. Auch die Kiefern-Moorwälder sind in Nordostdeutschland und Bayern am häufigsten. Von diesen Standorten ausgehend, wo ihr Platz kaum von anderen Baumarten streitig gemacht wird, tritt die Waldkiefer immer wieder als Pionier auf weniger extremen Standorten auf. In der Naturlandschaft kam dies etwa nach Waldbränden oder Stürmen vor, doch der Mensch förderte die Kiefer durch Auflichtung der Wälder, Waldweide und Streunutzung stark. Auch die damit verbundene Nährstoffverarmung macht eine exakte Abgrenzung natürlicher Kiefernstandorte unmöglich. Die schlechtwüchsigen und forstwirtschaftlich nicht interessanten, ästhetisch aber sehr ansprechenden natürlichen Kiefernbestände sind heute vor allem durch Stickstoff-Immissionen gefährdet. Trotz ihrer oft kargen Erscheinung besitzen sie einen hohen Wert für die Biodiversität und den Artenschutz. Neben bodenbewohnenden Flechten und regionalen Relikt-Endemiten ist vor allem die in den letzten Jahrzehnten zunehmend gefährdete Vielfalt an Mykorrhiza-Pilzen hervorzuheben, die der Kiefer das Leben auf extrem nährstoffarmen Standorten überhaupt ermöglichen. Abschließend werden mögliche Schutz- bzw. Regenerationsmaßnahmen wie das Abplaggen flechtenreicher Kiefernstandorte vorgestellt. / Only small areas of natural Scots pine (Pinus sylvestris) habitat occur in Germany. Today pine plantations instead of natural deciduous forests often dominate the landscape. Yet, due to the competitive weakness and light demands of Scots pine, near-natural Scots pine climax communities are only found on extremely dry or wet, nutrient-poor sites, primarily in subcontinental regions of the north-eastern German lowlands and Bavaria. However, the "natural distribution range" of Scots pine is difficult to define. Species-rich, dry Scots pine forests, with alpine and calcareous grassland species in the ground vegetation, are found at the aridity limit of forests on sites with carbonate rich soils developed from limestone and dolomite parent material. These forests occur on steep south-facing slopes, on morphodynamically active areas such as landslides and coarse river gravel beds in and near the Alps, and also in the low mountain ranges. Scots pine forests are also found on acidic sites, on quartz sands and soils overlying weathered silicate rocks with an understorey dominated by dwarf shrubs, bryophytes and fruticose lichens. These forests are present in the lowlands, particularly on inland dunes and glacifluvial deposits, but also on coastal dunes around the Baltic Sea and in the low mountain ranges, for example on the sandstone cliffs in the Elbe Sandstone Mountains. Acidic, oligo-trophic bogs, mainly supplied by rainwater, comprise the third natural Scots pine forest habitat. These Scots pine bog forests occur most frequently in north-eastern Germany and in Bavaria. Coming from these habitats, where virtually no other tree species grows, Scots pine is found again and again as a pioneer on less extreme sites. In the natural landscape, it occurs mainly after forest fires and storms. Yet humans promote Scots pine by thinning forests, creating woodland pasture and removing litter. The nutrient depletion associated with these practices makes an exact delimitation of natural Scots pine habitats unfeasible. Natural pine forest stands, which, although attractive and appealing, grow poorly and are of little interest for forestry, are endangered mainly by anthropo-genic nitrogen depositions. Despite their meagre appearance, these forests are important for biodiversity and species conservation. In addition to terricolous lichens and regional relic endemic plant species, the diversity of mycorrhiza fungi, which enable Scots pine to exist on these nutrient-poor sites, increasingly is becoming endangered. Finally, possible conservation and regeneration practices, such as manually cutting sods in lichen-rich Scots pine forests, are presented.

Dominant understorey species, such as herbs, ferns, palms and shrubs may influence forest tree species diversity and dynamics. Their influence may be through shading the forest floor, thereby affecting regeneration of shade-intolerant species and reducing species diversity, or it may be through competition with seedlings for space and belowground resources, thus modifying or changing the structure of the forest. These effects may be compounded if the life cycle of the understorey species consists of synchronized reproductive and mortality events. This study examines the influence of a dominant understorey species, Isoglossa woodii (Acanthaceae), on regeneration of trees in Indian Ocean subtropical coastal dune forest in southern Africa. The species is a semiwoody herb and has population-wide synchronous reproduction at 4-7 year cycles after which it dies and regenerates from seed. In this thesis I examine three aspects of the ecology of this suppressive herb: (i) the ecological and environmental correlates of the distribution of I. woodii; (ii) the evolutionary advantages of synchronous monocarpy; and (iii) the ecological effects of the extensive cover and putative recruitment window caused by I. woodii on forest tree seedling dynamics and diversity. Isoglossa woodii covered 65–95 % of the understorey, while gaps in this understorey cover occupied the remaining 5–35 % of the area. The spatial distribution of I. woodii was strongly related to tree canopy structure, with the species excluded from sites with dense canopy cover. Woody seedling establishment was inhibited by low light availability ( / Thesis (Ph.D.)-University of KwaZulu-Natal, Pietermaritzburg, 2009.

Thesis (M.S.)--Wake Forest University. Dept. of Biology, 2003. / Includes bibliographical references (leaves 44-47).