Old-growth forests and coniferous forests : ecology habitat and conservation / Ronald P. Weber, editor.

Includes bibliographies and index.

OLD-GROWTH FORESTS AND CONIFEROUS FORESTS: ECOLOGY, HABITAT AND CONSERVATION; OLD-GROWTH FORESTS AND CONIFEROUS FORESTS: ECOLOGY, HABITAT AND CONSERVATION; Library of Congress Cataloging-in-Publication Data; Contents; Preface; Chapter 1: Ecology and Conservation of the Sensitive Lichen Lobaria Pulmonaria in Mediterranean Old-Growth Forests; Abstract; 1. Introduction; 2. Materials and Methods; 2.1. Study Area; 2.2. Study Species; 2.3. Sampling Design; 3. Results and Discussion; Acknowledgments; References

Chapter 2: Forecasted Changes in Growth along Different Regions of the Stem under Future Scenarios of Climate ChangeAbstract; 1. Introduction; 2. Materials and Methods; 2.1. Site Selection; 2.2. Field Sampling; 2.3. Dendrochronological Measurements; 2.4. Climate Data; 2.5. Growth-Climate Analyses; 2.6. Growth Projections under Climate Change Scenarios; 3. Results and Discussion; Conclusion; Acknowledgments; References; Chapter 3: Predation Risk of Artificial Ground Nests in Forest Stands, Edges, Clear-Cuts, and Forested Corridors As an Ecological Indicator; Abstract; Introduction; Methods

Study AreaNest Predation Experiment; Statistical Analyses; Results; Conclusion; Corridors; Stands, Edges and Clear-Cuts; Acknowledgments; References; Chapter 4: Expansion of the Juniperus Genus due to Anthropic Activity; Abstract; Introduction; Material and Methods; Results and Discussion; Conclusion; Acknowledgments; References; Chapter 5: Geospatial Technologies to Support Coniferous Forests Research and Conservation Efforts in Mexico; Abstract; 1. Introduction; 2. Field Techniques; 2.1. Canopy Structure and Dasometric Measurements; 2.2. Measuring Vegetation Optical Properties

3. Geospatial Analysis Methods3.1. Spatial Autocorrelation and Spatial Statistics; 3.2. Geostatistical Interpolations; 4. Optical Remote Sensing of Coniferous Forests; 4.1. Vegetation Indices; 4.2. Spectral Mixture Analysis; 5. Active Remote Sensing of Coniferous Forests; 5.1. Radio Detection and Ranging Technology and Applications; 5.2. Airborne Laser Scanner Technology and Applications; 6. Case Studies in Mexico; 6.1. Identification of Coniferous Species through Airborne Hyperspectral Measurements; Data Collection; Species Identification

6.2. Subpixel Classification of Forest Land Cover Classes with Landsat 8Image Processing and Analysis; Subpixel Fraction Retrieval Accuracy; 6.3. Monitoring Forests As Continuous Variables through SPOT-5 Images; Logistic Regression of Percent of Canopy Cover; Multi-temporal Forest Cover; 6.4. Above-Ground Biomass Carbon Content Estimation with Palsar and SPOT; Data Preparation and Processing; Spatial Correlation and Modeling of Forest Carbon; Carbon Mapping and Validation; 6.5. 3-D Canopy Modeling of Coniferous Species with Lidar Point Clouds; Data Acquisition and Processing

Forest ecosystems cover around 31% of the total land area of the Earth. They represent important biodiversity and genetic resources; provide material goods, including fuelwood, commercial timber, soils, medicinal plants and others; as well as environmental services, such as cleaning air and water, sequestering carbon and maintaining biodiversity. Old-growth forests are those developed during long periods without relevant human impact and with distinctive features in terms of forest continuity, structural heterogeneity, large volumes of standing and fallen deadwood, decaying ancient and veteran.

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