LEADER 01003nam0-22003131i-450- 001 990004029000403321 005 20071023155443.0 035 $a000402900 035 $aFED01000402900 035 $a(Aleph)000402900FED01 035 $a000402900 100 $a19990604d1983----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $aa-------00--- 200 1 $a<>città scomparse della Calabria$ela geologia e le geofisica al servizio della archeologia$fdi Demetrio Di Benedetto$gpresentazione di Agostino Cajati 210 $aSoveria Mannelli (CZ)$cBettino$d1983 215 $a60 p.$cill.$d20 cm 225 1 $aContinente Calabria$v4 610 0 $aCALABRIA ARCHEOLOGICA (città scomparse). 700 1$aDi Benedetto,$bDemetrio$0153324 702 1$aCajati,$bAgostino 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990004029000403321 952 $aA 896$bDDS.1147$fFLFBC 959 $aFLFBC 996 $aCittà scomparse della Calabria$9470778 997 $aUNINA LEADER 05791nam 22007455 450 001 9910409701803321 005 20250610110515.0 010 $a3-030-35761-9 024 7 $a10.1007/978-3-030-35761-0 035 $a(CKB)4100000010770965 035 $a(DE-He213)978-3-030-35761-0 035 $a(MiAaPQ)EBC6138259 035 $a(PPN)24322852X 035 $a(MiAaPQ)EBC29090887 035 $a(EXLCZ)994100000010770965 100 $a20200317d2020 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aModels of Tree and Stand Dynamics $eTheory, Formulation and Application /$fby Annikki Mäkelä, Harry T. Valentine 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XVI, 310 p. 116 illus.) 311 08$a3-030-35760-0 327 $aPreface -- List of symbols -- 1. Introduction -- 2. Descriptive Models -- 3. Carbon Balance -- 4. Tree Structure -- 5. Carbon Balance and Structure -- 6. Competition -- 7. Tree structure revisited: Eco-evolutionary models -- 8. Predicting stand growth: parameters, drivers and modular inputs -- 9. Calibration -- 10. Applications and future outlook -- Solutions to Exercises -- References -- Author Index -- Index. 330 $aThe book is designed to be a textbook for university students (MSc-PhD level) and a reference for researchers and practitioners. It is an introduction to dynamic modelling of forest growth based on ecological theory but aiming for practical applications for forest management under environmental change. It is largely based on the work and research findings of the authors, but it also covers a wide range of literature relevant to process-based forest modelling in general. The models presented in the book also serve as tools for research and can be elaborated further as new research findings emerge. The material in the book is arranged such that the student starts from basic concepts and formulations, then moves towards more advanced theories and methods, finally learning about parameter estimation, model testing, and practical application. Exercises with solutions and hands-on R-code are provided to help the student digest the concepts and become proficient with the methods. The book should be useful for both forest ecologists who want to become modellers, and for applied mathematicians who want to learn about forest ecology. The basic concepts and theory are formulated in the first four chapters, including a review of traditional descriptive forest models, basic concepts of carbon balance modelling applied to trees, and theories and models of tree and forest structure. Chapter 5 provides a synthesis in the form of a core model which is further elaborated and applied in the subsequent chapters. The more advanced theories and methods in Chapters 6 and 7 comprise aspects of competition through tree interactions, and eco-evolutionary modelling, including optimisation and game theory, a topical and fast developing area of ecological modelling under climate change. Chapters 8 and 9 are devoted to parameter estimation and model calibration, showing how empirical and process-based methods and related data sources can be bridged to provide reliable predictions. Chapter 10 demonstrates some practical applications and possible future development paths of the approach. The approach in this book is unique in that the models presented are based on ecological theory and research findings, yet sufficiently simple in structure to lend themselves readily to practical application, such as regional estimates of harvest potential, or satellite-based monitoring of growth. The applicability is also related to the objective of bridging empirical and process-based approaches through data assimilation methods that combine research-based ecological measurements with standard forestry data. Importantly, the ecological basis means that it is possible to build on the existing models to advance the approach as new research findings become available. . 606 $aApplied ecology 606 $aForest management 606 $aPlant ecology 606 $aTrees 606 $aEcology 606 $aApplied Ecology$3https://scigraph.springernature.com/ontologies/product-market-codes/L19023 606 $aForestry Management$3https://scigraph.springernature.com/ontologies/product-market-codes/L22016 606 $aPlant Ecology$3https://scigraph.springernature.com/ontologies/product-market-codes/L19112 606 $aTree Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/L22024 606 $aTheoretical Ecology/Statistics$3https://scigraph.springernature.com/ontologies/product-market-codes/L19147 606 $aEcologia forestal$2thub 606 $aArbres$2thub 606 $aEcologia vegetal$2thub 608 $aLlibres electrònics$2thub 615 0$aApplied ecology. 615 0$aForest management. 615 0$aPlant ecology. 615 0$aTrees. 615 0$aEcology. 615 14$aApplied Ecology. 615 24$aForestry Management. 615 24$aPlant Ecology. 615 24$aTree Biology. 615 24$aTheoretical Ecology/Statistics. 615 7$aEcologia forestal 615 7$aArbres 615 7$aEcologia vegetal 676 $a634.92 700 $aMäkelä$b Annikki$4aut$4http://id.loc.gov/vocabulary/relators/aut$0926184 702 $aValentine$b Harry T$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910409701803321 996 $aModels of Tree and Stand Dynamics$92079619 997 $aUNINA