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Afforestation and Reforestation : : Drivers, Dynamics, and Impacts / / Lu Hao, Ge Sun, Zhiqiang Zhang, Jingfeng Xiao, Gang Dong
| Afforestation and Reforestation : : Drivers, Dynamics, and Impacts / / Lu Hao, Ge Sun, Zhiqiang Zhang, Jingfeng Xiao, Gang Dong |
| Autore | Hao Lu |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (194 p.) |
| Soggetto topico | Biology, life sciences |
| Soggetto non controllato |
simulation modeling
shear strength stand structure vegetation restoration surface runoff soil and water conservation function soil enzymes riverbank evapotranspiration human activity afforestation Artemisia ordosica forest cover precipitation variation soil bioengineering base flow Poyang Lake Basin in situ calibration quantification chlorophyll fluorescence photoprotection remote sensing root distribution ecosystem model CASA afforestation ecosystem phenophase vegetation cover change soil characteristics Robinia pseudoacacia L. and Pinus tabulaeformis Carr. mixed plantations composted pine bark water-energy balance sediment load soil respiration energy partitioning soil microbial biomass transpiration net primary productivity spatio-temporal scales seedling quality peat moss fresh pine sawdust understory plants ring-porous trees different climatic conditions dye tests structural equation model Loess Plateau evapotranspiration (ET) Pinus engelmannii Carr empirical statistics heat dissipation probes MODIS slope change ratio of cumulative quantities (SCRCQ) soil water balance LAI climate fluctuation BTOPMC model living brush mattress vegetation greening streamflow |
| ISBN |
9783039214488
3039214489 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367752403321 |
Hao Lu
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Disturbance Effects on Soil Carbon and Greenhouse Gas Emissions in Forest Ecosystems
| Disturbance Effects on Soil Carbon and Greenhouse Gas Emissions in Forest Ecosystems |
| Autore | Cai Yanjiang |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (232 p.) |
| Soggetto topico | Biology, life sciences |
| Soggetto non controllato |
anthropogenic effect
assisted natural regeneration autotrophic respiration bacterial community biochar calcareous soil calcareous soils Camellia oleifera carbon source-sink carbon stock changes CH4 CH4 emissions clear-cutting climate change mitigation CO2 CO2 effluxes CO2 emission CO2 emissions CO2 production and diffusion coastal wetlands DCD decomposition fitting parameters forest forest conversion forest disturbance forest soils generation global change greenhouse gas greenhouse gas emission greenhouse gas inventory heterotrophic respiration insect outbreak IPCC karst graben basin land use pattern land use types land-use change landform Larix principis-rupprechtii Mayr microbe microbial properties N addition N2O N2O emissions natural forest next-generation sequencing nitrification inhibitor nitrogen nitrous oxide organic carbon accumulation organic carbon mineralization plantation plum plantation ages red soils rocky desertification sensitivity soil soil carbon sequestration soil characteristics soil CO2 soil microbial residue soil organic carbon soil properties soil quality soil respiration soil total nitrogen South Korea stand age stoichiometric ratios storm damage subtropical forest successive planting surface soil layer temperature tree mortality warming |
| ISBN | 3-03928-667-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404079203321 |
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Cai Yanjiang
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Hyperspectral Remote Sensing of Agriculture and Vegetation
| Hyperspectral Remote Sensing of Agriculture and Vegetation |
| Autore | Pascucci Simone |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (266 p.) |
| Soggetto topico |
Environmental economics
Research & information: general |
| Soggetto non controllato |
abaxial
adaxial analytical methods AOTF artificial intelligence biodiversity BRDF canopy spectra chlorophyll content classification classification of agricultural features continuous wavelet transform (CWT) correlation coefficient crop properties discrimination DLARI Eragrostis tef Ethiopia expansive species feature selection field spectroscopy future hyperspectral missions grapevine heavy metals high-resolution spectroscopy for agricultural soils and vegetation hyperspectral hyperspectral data as input for modelling soil, crop, and vegetation hyperspectral databases for agricultural soils and vegetation hyperspectral imaging hyperspectral imaging for vegetation hyperspectral LiDAR hyperspectral remote sensing hyperspectral remote sensing for soil and crops in agriculture invasive species leaf chlorophyll content macronutrient MDATT micronutrient MLR multi-angle observation Natura 2000 new hyperspectral technologies object-oriented segmentation partial least square regression (PLSR) partial least squares peanut plant plant traits platforms and sensors PLS precision agriculture product validation proximal sensing data proximal sensor random forest Red Edge remote sensing replicability reproducibility soil characteristics spectra spectral reflectance spectroscopy support vector machine SVM vegetation vegetation classification vegetation parameters waveband selection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557691803321 |
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Pascucci Simone
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sustainable Agriculture and Soil Conservation
| Sustainable Agriculture and Soil Conservation |
| Autore | Gattullo Concetta Eliana |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (191 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
agro-ecological service crops
amendment anaerobic digestion residues Beerkan method biochar Biolog® bioremediation brewers' spent grain clay minerals community-level physiological profiling (CLPP) composting copper corn uptake diffuse reflectance ex-post sustainability fertilization flattening forest restoration Freundlich model fruit growth functional diversity indices hop image analysis infiltration infrared Fourier transform spectroscopy irrigation maize metabolic bacterial diversity microbes mulching multivariate adaptive regression splines multivariate statistical models for SOC prediction near-infrared spectroscopy olive organic agriculture organic carbon organic co-substrates organic systems PAHs partial least squares regression phenanthrene photosynthesis plant growth productivity qualitative multi-attribute model remediation rhizosphere smart agriculture soil soil amendment soil characteristics soil contamination soil depth soil fertility soil fertilization soil management soil microbial community soil organic C soil organic carbon soil organic matter soil porosity soil quality soil remediation soil water repellency spatial heterogeneity stomata sustainable fruit growing tillage total energy output transpiration Tungsten vineyard water conservation practices water stress integral water use efficiency |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557349603321 |
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Gattullo Concetta Eliana
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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