Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Afforestation and Reforestation: Drivers, Dynamics, and Impacts
| Afforestation and Reforestation: Drivers, Dynamics, and Impacts |
| Autore | Sun Ge |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (194 p.) |
| 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 | 3-03921-448-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Afforestation and Reforestation |
| Record Nr. | UNINA-9910367752403321 |
Sun Ge
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 electronic resource (232 p.) |
| Soggetto non controllato |
greenhouse gas emission
heterotrophic respiration Camellia oleifera Larix principis-rupprechtii Mayr soil microbial residue assisted natural regeneration soil organic carbon soil carbon sequestration soil CO2 surface soil layer landform anthropogenic effect South Korea CO2 effluxes storm damage microbial properties calcareous soil land use pattern soil total nitrogen generation tree mortality land use types forest conversion DCD carbon source–sink stoichiometric ratios autotrophic respiration N2O CO2 emission organic carbon mineralization CH4 emissions clear-cutting CO2 production and diffusion soil quality nitrification inhibitor organic carbon accumulation climate change mitigation global change greenhouse gas inventory warming soil properties bacterial community sensitivity soil characteristics forest insect outbreak biochar nitrous oxide CO2 soil respiration land-use change decomposition soil natural forest calcareous soils greenhouse gas forest soils karst graben basin plantation rocky desertification fitting parameters temperature forest disturbance microbe subtropical forest N addition carbon stock changes IPCC next-generation sequencing nitrogen N2O emissions red soils CH4 coastal wetlands CO2 emissions stand age successive planting plum plantation ages |
| ISBN | 3-03928-667-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404079203321 |
|
Cai Yanjiang
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 electronic resource (266 p.) |
| Soggetto topico |
Research & information: general
Environmental economics |
| Soggetto non controllato |
hyperspectral LiDAR
Red Edge AOTF vegetation parameters leaf chlorophyll content DLARI MDATT adaxial abaxial spectral reflectance peanut field spectroscopy hyperspectral heavy metals grapevine PLS SVM MLR multi-angle observation hyperspectral remote sensing BRDF vegetation classification object-oriented segmentation spectroscopy artificial intelligence proximal sensing data precision agriculture spectra vegetation plant classification discrimination feature selection waveband selection support vector machine random forest Natura 2000 invasive species expansive species biodiversity proximal sensor macronutrient micronutrient remote sensing hyperspectral imaging platforms and sensors analytical methods crop properties soil characteristics classification of agricultural features canopy spectra chlorophyll content continuous wavelet transform (CWT) correlation coefficient partial least square regression (PLSR) reproducibility replicability partial least squares Ethiopia Eragrostis tef hyperspectral remote sensing for soil and crops in agriculture hyperspectral imaging for vegetation plant traits high-resolution spectroscopy for agricultural soils and vegetation hyperspectral databases for agricultural soils and vegetation hyperspectral data as input for modelling soil, crop, and vegetation product validation new hyperspectral technologies future hyperspectral missions |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557691803321 |
|
Pascucci Simone
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 electronic resource (191 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
Tungsten
corn uptake soil characteristics Freundlich model Biolog® community-level physiological profiling (CLPP) functional diversity indices metabolic bacterial diversity olive soil fertility soil quality maize stomata soil phenanthrene remediation qualitative multi-attribute model total energy output agro-ecological service crops ex-post sustainability organic systems amendment biochar brewers’ spent grain hop image analysis plant growth Beerkan method infiltration forest restoration soil water repellency tillage fertilization soil depth organic carbon clay minerals diffuse reflectance infrared Fourier transform spectroscopy bioremediation composting PAHs organic co-substrates mulching flattening irrigation photosynthesis transpiration water stress integral fruit growth water use efficiency productivity soil organic matter near-infrared spectroscopy spatial heterogeneity multivariate adaptive regression splines partial least squares regression anaerobic digestion residues soil amendment soil fertilization soil organic C soil porosity soil microbial community copper rhizosphere smart agriculture microbes vineyard organic agriculture soil organic carbon soil management soil contamination soil remediation sustainable fruit growing water conservation practices multivariate statistical models for SOC prediction |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557349603321 |
|
Gattullo Concetta Eliana
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||