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1. : XXXII, 483 p.
| 1. : XXXII, 483 p. |
| Autore | Thomas, Jean Bazile |
| Pubbl/distr/stampa | Paris : Chez L.Bouchard-Huzard, 1840- |
| Descrizione fisica | v. ; 23 cm |
| Disciplina | 634.9 |
| Soggetto non controllato | Boschi e foreste |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Record Nr. | UNINA-990000220200403321 |
Thomas, Jean Bazile
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| Paris : Chez L.Bouchard-Huzard, 1840- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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13 years of forestry research in West Virginia : a progress report from the U.S. Forest Service Timber and Watershed Laboratory / / by G.R. Trimble Jr., Burley D. Fridley
| 13 years of forestry research in West Virginia : a progress report from the U.S. Forest Service Timber and Watershed Laboratory / / by G.R. Trimble Jr., Burley D. Fridley |
| Autore | Trimble George R., Jr. |
| Pubbl/distr/stampa | Upper Darby, PA : , : Northeastern Forest Experiment Station, Forest Service, U.S. Department of Agriculture, , 1963 |
| Descrizione fisica | 1 online resource (55 pages) : illustrations |
| Disciplina | 634.9 |
| Collana | U.S. Forest Service research paper NE |
| Soggetto topico |
Forests and forestry - Research - West Virginia
Forest management - West Virginia Watershed management - West Virginia Environmental management - West Virginia Forests and forestry - Multiple use - West Virginia Forests and forestry - Research |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | 13 years of forestry research in West Virginia |
| Record Nr. | UNINA-9910717018703321 |
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Trimble George R., Jr.
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| Upper Darby, PA : , : Northeastern Forest Experiment Station, Forest Service, U.S. Department of Agriculture, , 1963 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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19. festa nazionale della montagna per l'Italia meridionale : Monte Sirino, Lagonegro, 6 settembre 1970
| 19. festa nazionale della montagna per l'Italia meridionale : Monte Sirino, Lagonegro, 6 settembre 1970 |
| Autore | Festa nazionale della montagna per l'Italia meridionale : 19. : <1970 |
| Pubbl/distr/stampa | Potenza : a cura dell'Ispettorato delle Foreste, stampa 1970 |
| Descrizione fisica | 67 p., [43] carte di tav., [1] carta di tav. ripieg. : ill. ; 22x23 cm. |
| Disciplina | 634.9 |
| Soggetto topico | Selvicoltura - Basilicata |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Altri titoli varianti | Diciannovesima Festa nazionale della montagna per l'Italia meridionale |
| Record Nr. | UNIBAS-000035024 |
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Festa nazionale della montagna per l'Italia meridionale : 19. : <1970
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| Potenza : a cura dell'Ispettorato delle Foreste, stampa 1970 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. della Basilicata | ||
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2. : 592 p., 5 tav. : ill.
| 2. : 592 p., 5 tav. : ill. |
| Autore | Thomas, Jean Bazile |
| Pubbl/distr/stampa | Paris : Chez L. Bouchard-Huzard, 1840- |
| Descrizione fisica | v. ; 23 cm |
| Disciplina | 634.9 |
| Soggetto non controllato | Boschi e foreste |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Record Nr. | UNINA-990000220210403321 |
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Thomas, Jean Bazile
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| Paris : Chez L. Bouchard-Huzard, 1840- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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2022 IEEE Workshop on Metrology for Agriculture and Forestry (MetroAgriFor) / / Institute of Electrical and Electronics Engineers
| 2022 IEEE Workshop on Metrology for Agriculture and Forestry (MetroAgriFor) / / Institute of Electrical and Electronics Engineers |
| Pubbl/distr/stampa | Piscataway, NJ : , : IEEE, , 2022 |
| Descrizione fisica | 1 online resource : illustrations |
| Disciplina | 634.9 |
| Soggetto topico |
Forests and forestry
Metrology |
| ISBN | 1-66546-998-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | 2022 IEEE Workshop on Metrology for Agriculture and Forestry |
| Record Nr. | UNISA-996575171103316 |
| Piscataway, NJ : , : IEEE, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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3rd international conference on science and technology education 2022 : selected contributions of STE 2022 / / edited by Lucas F. M. da Silva and António J. M. Ferreira
| 3rd international conference on science and technology education 2022 : selected contributions of STE 2022 / / edited by Lucas F. M. da Silva and António J. M. Ferreira |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (150 pages) |
| Disciplina | 634.9 |
| Collana | Proceedings in Engineering Mechanics, Research, Technology and Education |
| Soggetto topico | Science - Study and teaching |
| ISBN |
9783031254017
9783031254000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Influence of COVID-19 Confinement and Pandemic on the Academic Performance of Students -- 3D with Artificial Intelligence Technology Contributes Science and Technology Education Development -- Enhancing Engineer and Engineering Perception Through Video Design in STEM Education -- Circulation as a Concept Graphically Represented in a Game-like Manner to Support the Design Process in Architecture -- The Blockchain Technology Applications in Higher Education -- Undergraduate Engineering Laboratories: A Study Exploring Laboratory Objectives and Student Experiences at an Irish University. |
| Record Nr. | UNINA-9910683351303321 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in remote sensing for forest monitoring / / Paul Arellano and Prem C. Pandey
| Advances in remote sensing for forest monitoring / / Paul Arellano and Prem C. Pandey |
| Autore | Arellano Paul <1967-> |
| Pubbl/distr/stampa | Hoboken, NJ : , : John Wiley & Sons, Inc., , [2022] |
| Descrizione fisica | 1 online resource (400 pages) |
| Disciplina | 634.9 |
| Soggetto topico |
Forests and forestry - Remote sensing
Forest monitoring |
| ISBN |
1-119-78815-3
1-119-78813-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Contents -- List of Contributors -- Foreword -- Preface -- List of Abbreviations -- Editors -- Section I General Introduction to Forest Monitoring -- Chapter 1 Introduction to Forest Monitoring Using Advanced Remote Sensing Technology - An Editorial Message -- 1.1 Introduction -- 1.2 Forest Monitoring: Importance and Trends -- 1.3 Advances in Remote Sensing Technology for Forest Monitoring -- 1.4 Summary -- References -- Chapter 2 Geospatial Perspectives of Sustainable Forest Management to Enhance Ecosystem Services and Livelihood Security -- 2.1 Introduction and Background -- 2.2 Major Ecological Disturbances of Forests -- 2.2.1 Livelihood Dependencies -- 2.3 Forest Fires -- 2.4 Invasive Plant Species (IPS) -- 2.5 Climate Change -- 2.6 Forest Ecosystem Services (FESs) -- 2.7 Sustainable Uses of Forests and Their Contributions to Livelihood Security -- 2.8 Landscape Based Approach (LbA) and Ecosystem-Based Approach (EbA) of Sustainable Forests Management (SFM) -- 2.9 Conclusions -- References -- Section II Forest Parameters - Biochemical and Biophysical Parameters -- Chapter 3 Distinguishing Carotene and Xanthophyll Contents in the Leaves of Riparian Forest Species by Applying Machine Learning Algorithms to Field Reflectance Data -- 3.1 Introduction -- 3.1.1 Chapter Overview -- 3.1.2 Threats to Riparian Forests -- 3.1.3 Remote Sensing of Riparian Forests -- 3.1.4 Implication of Carotenoids in Plant Stress -- 3.1.5 Advances in Carotenoid Retrieval Using Reflectance Spectroscopy -- 3.1.6 Applying Machine Learning to Reflectance Spectroscopy -- 3.2 Study Area -- 3.3 Data -- 3.3.1 Leaf Sampling and Analysis -- 3.3.2 Reflectance Measurements -- 3.4 Methodology -- 3.4.1 Preprocessing of Reflectance Data -- 3.4.2 ML Algorithms -- 3.4.3 Carotenoid Prediction -- 3.5 Results -- 3.5.1 Leaf Carotenoid Contents.
3.5.2 Predictions of Carotenoid Contents Using ML Algorithms -- 3.6 Discussion -- 3.6.1 Sources of Variability in the Carotenoid Pool among Species -- 3.6.2 Toward a Broad-Scale Monitoring of Carotenoids? -- 3.6.3 Sensitivity Analysis -- 3.7 Conclusion -- Acknowledgments -- Funding -- References -- Supporting Information -- Chapter 4 Modeling of Abiotic Stress of Conifers with Remote Sensing Data -- 4.1 Introduction -- 4.2 Natural Factors -- 4.2.1 Soils -- 4.3 Anthropogenic Factors -- 4.3.1 Atmospheric Pollution -- 4.3.2 Soil and Groundwater Pollution -- 4.4 Thresholds and Critical Loads -- 4.4.1 Satellite Multi-Band Remote Methods for Detecting Abiotic Stress -- 4.4.2 Satellite Infrared Remote Sensing Methods for Detecting Abiotic Stress -- 4.4.3 Hyperspectral Satellite Remote Sensing Methods for Detecting Abiotic Stress -- 4.4.4 Fluorescent Satellite Remote Sensing Methods for Detecting Vegetation Stress -- 4.4.5 Modeling in Geoscience -- 4.4.6 Models of Geosystems and Abiotic Stress in Ecology and Radioecology -- 4.5 Conclusions -- References -- Chapter 5 Retrieval of Mangrove Forest Properties Using Synthetic Aperture Radar -- 5.1 Introduction -- 5.2 Microwave Remote Sensing -- 5.2.1 Polarization -- 5.2.2 Interaction Mechanism of SAR -- 5.2.3 SAR Based Mangroves Studies -- 5.2.4 SAR Image of the Mangroves -- 5.2.5 Mapping the Mangrove Area -- 5.2.6 Identification of Mangrove Degraded Area Using SAR -- 5.2.7 Mangrove Forest Structure Parameters and SAR -- 5.2.8 Mangrove Biomass and SAR -- 5.3 Conclusions -- References -- Chapter 6 Photosynthetic Variables Estimation in a Mangrove Forest -- 6.1 Introduction -- 6.1.1 Mangroves -- 6.1.2 Photosynthesis/Carbon Sequestration -- 6.1.3 Leaf Area Index -- 6.1.4 Chlorophyll Concentration -- 6.1.5 Solar Induced Fluorescence -- 6.1.6 Gross Primary Productivity (GPP) -- 6.1.7 Vegetation Indices (VIs). 6.2 Materials and Methodology -- 6.2.1 Dataset -- 6.2.2 Methods -- 6.3 Results -- 6.3.1 Seasonal Variation of LAI, SIF, and GPP -- 6.3.2 Landsat-8 Predicted LAI -- 6.3.3 Landsat-8 Predicted Canopy Chlorophyll Content (CCC) -- 6.4 Discussion -- 6.4.1 Seasonal Behavior -- 6.4.2 Random Forest-based LAI and LCC estimation -- 6.5 Conclusions -- References -- Chapter 7 Quantifying Carbon Stock Variability of Species Within a Reforested Urban Landscape Using Texture Measures Derived from Remotely Sensed Imagery -- 7.1 Introduction -- 7.2 Materials and Methods -- 7.2.1 The Study Site -- 7.2.2 Field Survey and Data Collection -- 7.2.3 Allometric Modeling of Above Ground Biomass and Carbon Stock -- 7.2.4 Image Acquisition and Pre-processing -- 7.2.5 Sentinel-2 MSI Texture Metrics Derivation -- 7.2.6 Statistical Analysis -- 7.2.7 Model Accuracy Assessment -- 7.3 Results -- 7.3.1 Carbon Stock of Reforested Tree Species -- 7.3.2 Prediction Performance of Carbon Stock Using Remotely Sensed Data and the Random Forest Model -- 7.3.3 Carbon Stock Estimates and Variability Between Reforested Tree Species -- 7.4 Discussion -- 7.4.1 Carbon Stock Variability Between Reforested Tree Species -- 7.5 Conclusion -- Acknowledgments -- References -- Chapter 8 Mapping Oil Palm Plantations in the Fringe of Sebangau National Park, Central Kalimantan, Indonesia -- 8.1 Introduction -- 8.2 Methodology -- 8.2.1 Test Site and Datasets -- 8.2.2 Data Processing and Analysis -- 8.3 Results and Discussion -- 8.3.1 Identifying Oil Palm -- 8.3.2 Classification Accuracies -- 8.4 Conclusion -- Acknowledgments -- References -- Section III Remote Sensing Technology for Forest Fire Monitoring -- Chapter 9 Forest Fire Susceptibility Mapping by Integrating Remote Sensing and Machine Learning Algorithms -- 9.1 Introduction -- 9.2 Study Area -- 9.3 Materials and Methods -- 9.3.1 Materials. 9.3.2 Forest Fire Inventory -- 9.3.3 Ignition Factors for Forest Fire Modeling -- 9.3.4 Method for the Multicollinearity Analysis -- 9.3.5 Methods for Forest Fire Susceptibility Modeling -- 9.3.6 Validation of the Models -- 9.4 Results -- 9.4.1 Multicollinearity Analysis -- 9.4.2 Forest Fire Susceptibility Modeling -- 9.4.3 Validation Analysis of the Models -- 9.5 Discussion -- 9.6 Conclusion -- Acknowledgements -- References -- Chapter 10 Leveraging Google Earth Engine (GEE) and Landsat Images to Assess Bushfire Severity and Postfire Short-Term Vegetation Recovery: A Case Study of Victoria, Australia -- 10.1 Introduction -- 10.2 Materials and Methods -- 10.2.1 Study Area -- 10.2.2 Conceptual Workflow and Vegetation Recovery Predictors -- 10.2.3 Dataset -- 10.2.4 Processing in GEE -- 10.2.5 Fire Severity Characterization -- 10.2.6 Post-Fire Recovery Indices Calculation -- 10.2.7 Bushfire Severity Accuracy Assessment -- 10.3 Results -- 10.3.1 Bushfire Severity Assessment -- 10.3.2 Bushfire Severity Accuracy Assessment Results -- 10.3.3 Post-Fire Recovery Assessment -- 10.3.4 Correlation Among Climatic, Topographic, and Post-fire Recovery Variables -- 10.3.5 Relative Variable Importance in Post-Fire Recovery -- 10.4 Discussion -- 10.4.1 Bushfire Severity Assessment -- 10.4.2 Post-Fire Recovery Assessment -- 10.4.3 Climatic and Topographic Influence of Bushfire Recovery Assessment -- 10.4.4 Limitations of this Study -- 10.5 Conclusions -- Acknowledgements -- References -- Section IV Advancement in RS-Drones and Multi-Sensors Multi-Source for Forest Monitoring -- Chapter 11 Recent Advancement and Role of Drones in Forest Monitoring: Research and Practices -- 11.1 Introduction -- 11.2 Field Sampling Methods in Forest Application: Traditional to Present -- 11.3 Biophysical Parameters Assessment Using Remote Sensing -- 11.3.1 Above Ground Biomass (AGB). 11.3.2 Tree Height and Diameter at Breast Height (DBH) -- 11.3.3 Leaf Area Index (LAI) -- 11.4 Biochemical Parameter Assessment Using Remote Sensing -- 11.4.1 Canopy Chlorophyll Content (CCC) -- 11.4.2 Canopy Water Content (CWC) -- 11.5 UAV-Based Remote Sensing -- 11.6 Other Important Forest Research Applications and Practices -- 11.7 Conclusions -- References -- Chapter 12 Applications of Multi-Source and Multi-Sensor Data Fusion of Remote Sensing for Forest Species Mapping -- 12.1 Introduction -- 12.2 Forest Mapping Process -- 12.2.1 Image Acquisition -- 12.2.2 Image Pre-processing -- 12.2.3 Image Enhancement -- 12.2.4 Image Classification -- 12.2.5 Accuracy Assessments -- 12.2.6 Vegetation Indices -- 12.3 Data Fusion -- 12.3.1 Fusion of Satellite and UAV/Drone -- 12.4 Discussion -- 12.5 Conclusion and Future Trends -- Acknowledgments -- References -- Section V Opportunities, Challenges, and Future Aspects in Forest Monitoring -- Chapter 13 Challenges and Monitoring Methods of Forest Management Through Geospatial Application: A Review -- 13.1 Introduction -- 13.2 Importance of Forest Cover -- 13.2.1 Biogeochemical Cycle -- 13.2.2 Climate Change -- 13.2.3 Soil and Nutrients -- 13.2.4 Soil Conservation -- 13.2.5 Microbes -- 13.3 Challenges in the Sustainability of Forest Management -- 13.3.1 Challenges Due to Anthropogenic Activities -- 13.3.2 Application of Geospatial Technology in Monitoring of the Forests -- 13.3.3 Types of Forest Data -- 13.4 Summary -- References -- Chapter 14 Challenges and Future Possibilities Toward Himalayan Forest Monitoring -- 14.1 Introduction -- 14.2 Component of Forest Monitoring -- 14.2.1 Satellite Monitoring -- 14.2.2 Ground Station Monitoring -- 14.2.3 Ground Survey and Inventory -- 14.3 Challenges in Satellite Monitoring -- 14.3.1 Forest Fire Monitoring -- 14.3.2 Challenges in Land-Use Change Monitoring. 14.3.3 Challenges in Species Distribution Monitoring. |
| Record Nr. | UNINA-9910677971903321 |
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Arellano Paul <1967->
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| Hoboken, NJ : , : John Wiley & Sons, Inc., , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Aggiustamento osmotico in piante di olivo (cv. coratina) sottoposte a stress idrico [Tesi di dottorato] : determinazione dei soluti compatibili e valutazione del loro contributo osmotico / dottoranda: Giovanna Margiotta ; coordinatore: Francesco Basso ; tutor: Sabino A. Bufo
| Aggiustamento osmotico in piante di olivo (cv. coratina) sottoposte a stress idrico [Tesi di dottorato] : determinazione dei soluti compatibili e valutazione del loro contributo osmotico / dottoranda: Giovanna Margiotta ; coordinatore: Francesco Basso ; tutor: Sabino A. Bufo |
| Autore | Margiotta, Giovanna |
| Descrizione fisica | II, 96 p. ; 30 cm. |
| Disciplina | 634.9 |
| Soggetto topico | Selvicoltura |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Record Nr. | UNIBAS-000017792 |
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Margiotta, Giovanna
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| Materiale a stampa | ||
| Lo trovi qui: Univ. della Basilicata | ||
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Agroforestry for Sustainable Intensification of Agriculture in Asia and Africa / / edited by Jagdish Chander Dagar, Sharda Rani Gupta, Gudeta Weldesemayat Sileshi
| Agroforestry for Sustainable Intensification of Agriculture in Asia and Africa / / edited by Jagdish Chander Dagar, Sharda Rani Gupta, Gudeta Weldesemayat Sileshi |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (XXII, 816 p. 1 illus.) |
| Disciplina |
634.9
577.3 |
| Collana | Sustainable Agriculture and Food Security |
| Soggetto topico |
Forestry
Agriculture Agronomy Subsistence farming Subsistence Agriculture |
| ISBN | 981-19-4602-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Progress Towards Sustainable Intensification and Climate Change -- Chapter 1. Introduction: Agroforestry for Sustaining the Global Agriculture in Changed Environment -- Chapter 2. Agroforestry Matches the Evolving Climate Change Mitigation and Adaptation Agenda in Asia and Africa -- Chapter 3. Farmer Managed Natural Regeneration in Africa: Evidence for Climate Change Mitigation and Adaptation in Drylands -- Chapter 4. Urban and Peri-urban Agroforestry to Sustain Livelihood and Food Security in the Face of Global Environmental Change and Epidemic Threats -- Part II. Landscape Restoration and Combating Desertification -- Chapter 5. Agroforestry for Climate Change Resilience in Degraded Landscapes -- Chapter 6. The Great Green Wall Initiatives and Opportunities for Integration of Dryland Agroforestry to Mitigate Desertification -- Chapter 7. Silvopastoral Systems on Degraded Lands for Soil Carbon Sequestration and Climate Change Mitigation -- hapter 8. Utilization of Saline and Other Poor-quality Waters to Sustain Agroforestry Production -- Chapter 9. Potential of Agroforestry Systems for Food Security, Climate Change Mitigation, Landscape Restoration and Disaster Risk Reduction in Nepal -- Part III: Biodiversity and Ecosystem Services -- Chapter 10. The Role of Agroforestry Systems for Enhancing Biodiversity and Provision of Ecosystem Services in Agricultural Landscapes in Southeast Asia -- Chapter 11. Potentials of Indigenous Fruit Trees in Enhancing Nutrition, Income and Biodiversity Conservation in African Agroforestry -- Chapter 12. Ethnic Homestead Gardens: Diversity, Management and Conservation -- Chapter 13. Agroforestry for Plant Diversity and Livelihood Security in Southwest Asia -- Chapter 14. Achieving Biodiversity Conservation, Livelihood Security and Sustainable Development Goals through Agroforestry in Coastal and Island Regions of India and South East Asia -- Chapter 15. Biodiversity and Ecosystems Services of the Agroforestry Systems of the Himalayan Region: An Overview -- Chapter 16. Soil Biodiversity and Litter Decomposition in Agroforestry Systems of the Tropical Regions of Asia and Africa -- Part IV: Analytical Approaches and Policy Perspective -- Chapter 17. Agroforestry Suitability Mapping: A Geospatial Approach for Quantifying Land Potential for Intensification -- Chapter 18. Agroforestry as a Climate-Smart Agriculture: Strategic Interventions, Current Practices and Policies -- Chapter 19. Agroforestry as a Key Intervention to Achieve Nationally Determined Contribution (NDC) Targets -- Chapter 20. Potential of Traditional Agroforestry Systems for Intensification of Agriculture and Meeting Global Goals: Lessons from Asia and Africa -- Chapter 21. A Framework for Analysing Spatial Patterns and Extent of Influence by Single Trees on Ecosystem Properties in Agroforestry -- Chapter 22. Integrating Moringa oleifera and Moringa stenopetala in Agroforestry for Adaptation and Mitigation of Climate Change in Asia and Africa -- Chapter 23. Payment for Ecosystem Services from Agroforestry: Case Studies and Lessons -- Chapter 24. Agroforestry for Sustaining Industrial Raw Materials: Experience from a Value Chain Leveraged Consortium Model -- Chapter 25. Synthesis: Agroforestry for Sustainable Intensification of Agriculture in Asia and Africa. |
| Record Nr. | UNINA-9910717419003321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Alberi e territorio : pensare e agire con gli alberi
| Alberi e territorio : pensare e agire con gli alberi |
| Pubbl/distr/stampa | Bologna : Il Sole 24 Ore Edagricole, 2004-2008 |
| Descrizione fisica | v. : ill. ; 28 cm |
| Disciplina | 634.9 |
| Soggetto topico |
Selvicoltura - Periodici
Protezione della natura - Italia - Periodici |
| ISSN | 1724-4021 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | und |
| Note periodicità | Mensile |
| Record Nr. | UNISA-990001242070203316 |
| Bologna : Il Sole 24 Ore Edagricole, 2004-2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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