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This book presents recent developments in statistical methodologies with particular relevance to applications in forestry and environmental sciences. It discusses important methodologies like ranked set sampling, adaptive cluster sampling, small area estimation, calibration approach-based estimators, design of experiments, multivariate techniques, Internet of Things, and ridge regression methods. It also covers the history of the implementation of statistical techniques in Indian forestry and the National Forest Inventory of India. The book is a valuable resource for applied statisticians, students, researchers, and practitioners in the forestry and environment sector. It includes real-world examples and case studies to help readers apply the techniques discussed. It also motivates academicians and researchers to use new technologies in the areas of forestry and environmental sciences with the help of software like R, MATLAB, Statistica, and Mathematica.

Statistics . --- Forestry. --- Big data. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Big Data/Analytics. --- Data sets, Large --- Large data sets --- Data sets --- Forest land --- Forest lands --- Forest planting --- Forest production --- Forest sciences --- Forestation --- Forested lands --- Forestland --- Forestlands --- Forestry --- Forestry industry --- Forestry sciences --- Land, Forest --- Lands, Forest --- Silviculture --- Sylviculture --- Woodlands --- Woods (Forests) --- Agriculture --- Natural resources --- Afforestation --- Arboriculture --- Logging --- Timber --- Tree crops --- Trees --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Forests and forestry --- Statistical methods.

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This book offers comprehensive information on the genomics of spruces (Picea spp.), naturally abundant conifer tree species that are widely distributed in the Northern Hemisphere. Due to their tremendous ecological and economic importance, the management of forest genetic resources has chiefly focused on conservation and tree improvement. A draft genome sequence of the 20-gigabase Norway spruce genome was published in the journal Nature in 2013. Continuous efforts to improve the spruce genome assembly are underway, but are hindered by the inherent characteristics of conifer genomes: high amounts of repetitive sequences (introns and transposable elements) in the genome and large gene family expansions with regards to abiotic stress, secondary metabolism and spruces' defense responses to pathogens and herbivory. This book presents the latest information on the status of genome assemblies, provides detailed insights into transposable elements and methylation patterns, and highlights the extensive genomic resources available for inferring population genomics and climate adaptation, as well as emerging genomics tools for tree improvement programs. In addition, this volume features whole-genome comparisons among conifer species, and demonstrates how functional genomics can be used to improve gene function annotations. The book closes with an outlook on emerging fields of research in spruce genomics.

Plant genetics. --- Plant breeding. --- Forestry. --- Plant Genetics and Genomics. --- Plant Breeding/Biotechnology. --- Forest land --- Forest lands --- Forest planting --- Forest production --- Forest sciences --- Forestation --- Forested lands --- Forestland --- Forestlands --- Forestry --- Forestry industry --- Forestry sciences --- Land, Forest --- Lands, Forest --- Silviculture --- Sylviculture --- Woodlands --- Woods (Forests) --- Agriculture --- Natural resources --- Afforestation --- Arboriculture --- Logging --- Timber --- Tree crops --- Trees --- Crops --- Breeding --- Plants --- Genetics --- Spruce. --- Picea --- Pinaceae --- Coníferes --- Genètica vegetal --- Fitogenètica --- Genètica de les plantes --- Genètica --- Genètica molecular vegetal --- Nombre de cromosomes de les plantes --- Millorament selectiu de plantes --- Gimnospermes

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The vegetation addressed in this book is, biologically, one of the most diverse on Earth, with many characteristic taxa offering refuge and food sources for many resident and migratory animals. Yet the forests of Las Yungas remain poorly known from a floristic and vegetation point of view. This book seeks to fill that gap by studying the distribution of forest along an altitudinal but also a bioclimatic gradient. The richness in species demonstrates that these forests are substantially more diverse than other subtropical mountain woodlands. 103 diagnostic (characteristic or indicator) species were selected, of which 29 are dominant, 67 are exclusive, selective, preferential or differential, and 7 are stenoic. In addition, 13 communities were identified and characterized. These forests can be attributed to the Bolivian-Tucuman biogeographical province (South-Andean Region, Neotropical Sub-Kingdom). They are seasonal, semi-deciduous or evergreen micro- and mesowoodlands growing on foothills, hillsides, ravines, gorges and the edges of mountain ranges (terrestrial communities), as well as river terraces and beaches (riparian communities). Thanks to the range of new findings, the content presented here will benefit experts in related fields such as geographers, ecologists and botanists, but also teachers, nature guides, those involved in the management of forest or conservation areas, and policymakers. .

Community ecology, Biotic. --- Forestry. --- Plant science. --- Botany. --- Biodiversity. --- Ecosystems. --- Community & Population Ecology. --- Plant Sciences. --- Forests and forestry --- Biocenoses --- Biocoenoses --- Biogeoecology --- Biological communities --- Biomes --- Biotic community ecology --- Communities, Biotic --- Community ecology, Biotic --- Ecological communities --- Ecosystems --- Natural communities --- Ecology --- Population biology --- Biological diversification --- Biological diversity --- Biotic diversity --- Diversification, Biological --- Diversity, Biological --- Biology --- Biocomplexity --- Ecological heterogeneity --- Numbers of species --- Botanical science --- Phytobiology --- Phytography --- Phytology --- Plant biology --- Plant science --- Natural history --- Plants --- Forest land --- Forest lands --- Forest planting --- Forest production --- Forest sciences --- Forestation --- Forested lands --- Forestland --- Forestlands --- Forestry --- Forestry industry --- Forestry sciences --- Land, Forest --- Lands, Forest --- Silviculture --- Sylviculture --- Woodlands --- Woods (Forests) --- Agriculture --- Natural resources --- Afforestation --- Arboriculture --- Logging --- Timber --- Tree crops --- Trees --- Floristic botany

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Fotograaf Jeroen Toirkens en schrijver Jelle Brandt Corstius vertellen het verhaal van de boreale bossen, een cirkel van voornamelijk naaldbomen die zich uitstrekt over Europa, Azië en Noord-Amerika, en de mensen die er wonen. In deze tijden waarin de klimaatverandering duidelijk zicht- en voelbaar is, is er een grote nood hun verhalen te delen.

Bossen --- Klimaatveranderingen --- Fotografie --- Bomen --- Landschappen --- Rusland --- Canada --- Japan --- Noorwegen --- Schotland --- Alaska --- Photography --- nature photography --- boreal forests --- forests [cultural landscapes] --- tundras --- Taigas --- Forests and forestry --- Forest people --- 761.2 fotografen afzonderlijk --- reportagefotografie (documentaire fotografie) --- natuurfotografie --- portretfotografie --- sociale fotografie --- landschapsfotografie --- ecologie --- Forest peoples --- Ethnology --- Forest land --- Forest lands --- Forest planting --- Forest production --- Forest sciences --- Forestation --- Forested lands --- Forestland --- Forestlands --- Forestry --- Forestry industry --- Forestry sciences --- Land, Forest --- Lands, Forest --- Silviculture --- Sylviculture --- Woodlands --- Woods (Forests) --- Agriculture --- Natural resources --- Afforestation --- Arboriculture --- Logging --- Timber --- Tree crops --- Trees --- Boreal forests --- Boreal zone forests --- Circumboreal forests --- Circumpolar boreal forests --- Coniferous forests, Northern --- Northern coniferous forests --- Subarctic forests --- Taiga --- Exhibitions --- Bos --- Klimaatverandering --- Boom --- Landschap --- Klimmen --- Nederland --- Vietnam --- Zuid-Afrika --- Kust --- Literatuur

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Environmental Data Analysis is an introductory statistics textbook for environmental science. It covers descriptive, inferential and predictive statistics, centred on the Generalized Linear Model. The key idea behind this book is to approach statistical analyses from the perspective of maximum likelihood, essentially treating most analyses as (multiple) regression problems. The reader will be introduced to statistical distributions early on, and will learn to deploy models suitable for the data at hand, which in environmental science are often not normally distributed. To make the initially steep learning curve more manageable, each statistical chapter is followed by a walk-through in a corresponding R-based how-to chapter, which reviews the theory and applies it to environmental data. In this way, a coherent and expandable foundation in parametric statistics is laid, which can be expanded in advanced courses.The content has been “field-tested” in several years of courses on statistics for Environmental Science, Geography and Forestry taught at the University of Freiburg. .

Statistics . --- Ecology . --- Bioinformatics. --- Forestry. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Ecology. --- Statistical Theory and Methods. --- Forest land --- Forest lands --- Forest planting --- Forest production --- Forest sciences --- Forestation --- Forested lands --- Forestland --- Forestlands --- Forestry --- Forestry industry --- Forestry sciences --- Land, Forest --- Lands, Forest --- Silviculture --- Sylviculture --- Woodlands --- Woods (Forests) --- Agriculture --- Natural resources --- Afforestation --- Arboriculture --- Logging --- Timber --- Tree crops --- Trees --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Balance of nature --- Bionomics --- Ecological processes --- Ecological science --- Ecological sciences --- Environment --- Environmental biology --- Oecology --- Environmental sciences --- Population biology --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Data processing --- Ecology --- Statistical methods. --- R (Computer program language). --- GNU-S (Computer program language) --- Domain-specific programming languages