Listing 1 - 10 of 10 |
Sort by
|
Choose an application
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact
Choose an application
While international efforts in the development of short rotation woody crops (SRWCs) have historically focused on the production of biomass for bioenergy, biofuels, and bioproducts, research and deployment over the past decade has expanded to include broader objectives of achieving multiple ecosystem services. In particular, silvicultural prescriptions developed for SRWCs have been refined to include woody crop production systems for environmental benefits such as carbon sequestration, water quality and quantity, and soil health. In addition, current systems have been expanded beyond traditional fiber production to other environmental technologies that incorporate SRWCs as vital components for phytotechnologies, urban afforestation, ecological restoration, and mine reclamation. In this Special Issue of the journal Forests, we explore the broad range of current research dedicated to our topic: International Short Rotation Woody Crop Production Systems for Ecosystem Services and Phytotechnologies
rhizospheric soil --- allocation --- acidic soil --- abandoned farmland --- carbon sequestration --- bioenergy --- mycorrhizal fungi --- leaf area index --- foliar nutrient and metal concentration --- aboveground biomass --- inoculation --- stocking level --- site reclamation --- willow --- Salix --- spacing trial --- agricultural field experiment --- Populus --- Populus canadensis --- species variation --- ecosystem services
Choose an application
Mechanical and hydraulic soil properties are strongly affected by the degree of saturation, with important consequences for earthen embankments, soil–vegetation–atmosphere interactions, geoenvironmental applications, and risk mitigation. The presence of sloping ground surfaces is common. In slightly inclined natural slopes, susceptible to deep landslides, the unsaturated condition of shallow soil horizons affects deep pore water pressures and, therefore, global stability. The stability of steep mountains covered by shallow deposits is often guaranteed by a shear strength contribution related to the unsaturated condition. In this case, the degree of saturation plays a key role in determining which rainfall events can act as landslide triggers, consequently controlling the post-failure evolution. Partial saturation is the basic characteristic of soils used as construction materials of geo-structures such as levees, dikes, and dams. It governs the structure behavior during construction phases, in serviceability, and in extreme scenarios. Hoping to provide a bridge between theoretical research and practical applications, this Special Issue collects quality contributions related to natural and artificial slopes under unsaturated conditions, focusing on aspects such as: water retention and transport properties, mechanical behavior, advances in experimental methods, laboratory and in situ characterization, field monitoring, geotechnical and geophysical field tests, landslide investigation and prevention, the design and maintenance of engineered slopes, and the constitutive and numerical modeling of hydro-mechanical behavior.
landslide --- soil slide --- LAMP --- soil water content --- soil moisture --- monitoring --- calibration --- installation --- rainfall --- debris flow --- in situ characterization --- triaxial tests --- unsaturated conditions --- unsaturated slope --- Ruedlingen field experiment --- lateral resistance --- limit equilibrium solution --- riverbank --- unsaturated soils --- water retention curve --- unsaturated permeability curve --- transient seepage --- slope stability --- pyroclastic soils --- infiltration --- capillary barriers --- stability analysis --- water retention --- suction --- silty sands --- commercial experimental techniques --- n/a
Choose an application
This book, a printed edition of the Special Issue Soil Nitrogen Supply: Linking Plant Available N to Ecosystem Functions and Productivity, presents thoughtful research papers that will advance our understanding of this fascinating topic. New knowledge about modeling and the impact of cover crops, crop residues, soil amendment, and other management practices is presented in the context of agricultural and urban ecosystems.
nitrification inhibitors --- soil type --- CO2 and N2O emissions --- soil nitrogen dynamic --- winter malting barley --- malting quality indices --- summer cover crops --- sunn hemp --- crimson clover --- seeding rate --- nitrogen management --- aerobic incubation --- CO2 production --- microbial metabolism --- enzyme activities --- active biomass --- gross mineralization/immobilization --- Bradyrhizobium --- attachment --- root --- biofilm --- lectin --- soybean --- soil --- hydrophobicity --- Brassica napus --- natural variation --- nitrogen nutrition --- root system architecture --- nitrogen --- miscanthus --- willow --- field experiment --- lettuce --- plant-based amendment --- rhizosphere --- rainfall simulator --- nutrient runoff --- ammonium --- nitrate --- nitrogen use efficiency --- biochar --- total nitrogen --- soil organic carbon --- nitrogen mineralization --- nitrification --- turfgrass --- residential landscapes --- landscape patches --- urban soils --- perennial peanut --- urban landscapes --- N mineralization --- C/N ratio --- crop residue --- N availability --- NBPT --- nitrification inhibitor --- half-life --- degradation rate constant --- nitrogen leaching --- autumn tillage --- no-till --- lysimeter --- field experiment network --- soil nitrogen mineralization --- soil properties --- cropping system --- modeling --- STICS model --- n/a
Choose an application
This discerning book provides a comprehensive analysis of the nationwide randomised Finnish basic income experiment 2017 to 2018, from planning and implementation through to the end results. It presents the background of the social policy system in which the experiment was implemented and details the narratives of the planning process alongside its constraints, as well as a final evaluation of the results.
Basic income. --- Basic income --- Social policy. --- Research --- National planning --- State planning --- Economic policy --- Family policy --- Social history --- Annual income guarantee --- Basic income guarantee --- Guaranteed annual income --- Guaranteed income --- Guaranteed minimum income --- Universal basic income --- Economic security --- Income --- Income maintenance programs --- Basic income experiment --- randomised field experiment --- multi-disciplinary evaluation --- employment effects --- well-being --- health, trust and confidence --- bureaucracy and basic income --- financial stress --- support for basic income --- feasibility of basic income --- Finland. --- Fen-lan --- Fen-lan kung ho kuo --- Finlande --- Finlândia --- Finlandii͡ --- Finli͡andii͡ --- Finnland --- Finnlando --- Finrando --- Republic of Finland --- Republiken Finland --- Souomi --- Suomen tasavalta --- Suomi
Choose an application
Agricultural practices involving the excessive use of chemical fertilizers and pesticides pose major risks to the environment and to human health. The development and adoption of sustainable ecofriendly agricultural management to preserve and enhance the physical, chemical, and biological properties of soils and improve agroecosystem functions is a challenge for both scientists and farmers. The Special Issue entitled “Sustainable Agricultural Practices—Impact on Soil Quality and Plant Health” is a collection of 10 original contributions addressing the state of the art of sustainable agriculture and its positive impact on soil quality. The content of this Special Issue covers a wide range of topics, including the use of beneficial soil microbes, intercropping, organic farming and its effects on soil bacteria and nutrient stocks, application of plant-based nematicides and zeolite amendments, sustainability in CH4 emissions, and the effect of irrigation, fertilization, and environmental conditions as well as land suitability on crop production.
natural substances --- nematicidal --- root-knot nematodes --- oregano --- soil amendments --- basic substances --- PCA --- land capability --- crop suitability --- GIS --- NWCE --- Egypt --- microbial inoculants --- soil enzyme activities --- soil microbes --- 16S rRNA --- planting pattern --- soil chemical properties --- soil microbial community --- genotype × environment interaction --- maize --- yield --- soil amelioration --- resource use efficiency --- water conservation --- nutrient retention --- heavy metal toxicity --- Cucumis melo L. --- chemical composition --- cultivar --- drip irrigation --- fruit quality --- long term field experiment --- sustainable crop production --- nutrient balances --- legume nutrition --- drained peat --- greenhouse gas --- global warming --- organic soil --- pineapple --- water table --- AMF --- enzyme activity --- microbial communities --- PGPR --- plant growth --- PLFAs --- n/a
Choose an application
In the modern world, the competitiveness of bioenergy- and/or bioresources-related activities heavily depends on the effectiveness of supply chain management. A large number of multidisciplinary topics are involved in the bioresources and bioenergy production fields. Although the technical issues that are related with the topic are well-discussed and do not represent major barriers, supply chain management issues, such as design of the network, collection, storage or transportation of bioresources, are still considered as fundamental questions that need to be answered to enable the optimal exploitation of bioenergy and bioresources. Moreover, modeling of material and energy flows; identification of the dynamic character of the supply chains; available reverse logistics (waste management) alternatives; economic, social and environmental sustainability of bioresource supply chains; novelty in the applied business models; and decision support frameworks towards efficient supply chain management for bioenergy and bioresources present critical operational sustainability issues and business-making potential. This Special Issue, entitled “Supply Chain Management for Bioenergy and Bioresources”, seeks to contribute to the bioenergy and bioresources agenda through enhanced scientific and multi-disciplinary knowledge that may boost the performance efficiency of supply chain management and support the decision-making process of stakeholders. To that end, the Special Issue includes one extensive review on yellow and woody biomass supply-chain management, together with six original papers which span a number of innovative, multifaceted, technical developments that are related to all different echelons of supply chain management for bioenergy and bioresources.
supply-chain design --- strategic planning --- operational planning --- energy crop production --- crop residue --- dry above ground biomass --- soybean --- empirical models --- bilinear regression analysis --- agricultural operations --- energy use --- assessment tool --- workability --- machinery --- agricultural machinery --- fleet management --- auto-steering system --- collaborative operating system --- flow-shop --- simulation --- field experiment --- Fuzzy Cognitive Maps --- photovoltaic solar energy --- scenario analysis --- decision-support --- energy management --- bioenergy --- efficiency of bio-resources --- decision support system --- multi-criteria analysis --- sustainability --- neuro-fuzzy --- ANFIS --- neural networks --- soft computing --- fuzzy cognitive maps --- energy forecasting --- natural gas --- prediction
Choose an application
This book presents 16 selected papers from the 7th International Conference on The Application of Physical Modelling in Coastal and Port Engineering and Science, Coastlab18. The conference was organized in Santander, Spain, from 22 to 26 May, 2018, by the Instituto de Hidráulica Ambiental de la Universidad de Cantabria, IHCantabria. Coastlab18 welcomed 175 attendees from 18 different countries. The technical program included three renowned keynote lectures and 120 presentations focused on theoretical and practical aspects related to physical modelling in the field of coastal and ocean engineering. Coastal and ocean structures, breakwaters, revetments, laboratory technologies, measurement systems, coastal field measurement and monitoring, combined physical and numerical modelling, physical modelling case studies, tsunamis, and coastal hydrodynamics were the main topics covered in the conference. This book attempts to cover, as completely as possible, all the topics presented during the conference. The papers were accepted after a peer-review process based on their full text.
hydraulic stability --- breaking wave conditions --- low-crested structures --- mound breakwaters --- armor layer --- overtopping --- dikes --- sea defenses --- bimodal seas --- swell --- oblique waves --- crossing seas --- wave basin --- mound breakwater --- armor stability --- Cubipod® --- breaking waves --- non-overtopping --- horizontal foreshore --- regular waves --- Stepped revetment --- wave impact --- physical model test --- rock slopes --- damage characterization --- damage parameters --- physical model tests --- linear waves --- nonlinear waves --- wavemaker theory --- wavemaker applicability --- outdoor wave basin --- long-term development --- vegetation development --- ecosystem services --- nature-based --- vertical barrier --- semi-submerged --- wind waves --- experiments --- laboratory --- operational system --- wave forecast --- wave modelling --- Mediterranean Sea --- monitoring program --- beach management --- bichromatic waves --- reflection separation --- bound waves --- stability --- erosion --- sea level rise --- repetition tests --- berm --- wave flume --- length effect --- aquaculture --- drag --- inertia --- Abbott–Firestone Curve --- laboratory tests --- physical model experiments --- scouring --- shingle foreshore --- sloping wall --- combined field experiment and numerical modeling --- overwash --- wave run-up --- infragravity waves --- XBeach --- coastal flooding --- dune erosion --- landslide waves --- tsunamis --- laboratory experiments --- momentum balance --- numerical wave modeling --- vertical cylinder --- DNS model --- pressure gradient --- wave force --- scour and shear stress --- n/a --- Abbott-Firestone Curve
Choose an application
Quantitative land remote sensing has recently advanced dramatically, particularly in China. It has been largely driven by vast governmental investment, the availability of a huge amount of Chinese satellite data, geospatial information requirements for addressing pressing environmental issues and other societal benefits. Many individuals have also fostered and made great contributions to its development, and Prof. Xiaowen Li was one of these leading figures. This book is published in memory of Prof. Li. The papers collected in this book cover topics from surface reflectance simulation, inversion algorithm and estimation of variables, to applications in optical, thermal, Lidar and microwave remote sensing. The wide range of variables include directional reflectance, chlorophyll fluorescence, aerosol optical depth, incident solar radiation, albedo, surface temperature, upward longwave radiation, leaf area index, fractional vegetation cover, forest biomass, precipitation, evapotranspiration, freeze/thaw snow cover, vegetation productivity, phenology and biodiversity indicators. They clearly reflect the current level of research in this area. This book constitutes an excellent reference suitable for upper-level undergraduate students, graduate students and professionals in remote sensing.
gross primary production (GPP) --- interference filter --- Visible Infrared Imaging Radiometer Suite (VIIRS) --- cost-efficient --- precipitation --- topographic effects --- land surface temperature --- Land surface emissivity --- scale effects --- spatial-temporal variations --- statistics methods --- inter-annual variation --- spatial representativeness --- FY-3C/MERSI --- sunphotometer --- PROSPECT --- passive microwave --- flux measurements --- urban scale --- vegetation dust-retention --- multiple ecological factors --- leaf age --- standard error of the mean --- LUT method --- spectra --- SURFRAD --- Land surface temperature --- aboveground biomass --- uncertainty --- land surface variables --- copper --- Northeast China --- forest disturbance --- end of growing season (EOS) --- random forest model --- probability density function --- downward shortwave radiation --- machine learning --- MODIS products --- composite slope --- daily average value --- canopy reflectance --- spatiotemporal representative --- light use efficiency --- hybrid method --- disturbance index --- quantitative remote sensing inversion --- SCOPE --- GPP --- South China’s --- anisotropic reflectance --- vertical structure --- snow cover --- land cover change --- start of growing season (SOS) --- MS–PT algorithm --- aerosol --- pixel unmixing --- HiWATER --- algorithmic assessment --- surface radiation budget --- latitudinal pattern --- ICESat GLAS --- vegetation phenology --- SIF --- metric comparison --- Antarctica --- spatial heterogeneity --- comprehensive field experiment --- reflectance model --- sinusoidal method --- NDVI --- BRDF --- cloud fraction --- NPP --- VPM --- China --- dense forest --- vegetation remote sensing --- Cunninghamia --- high resolution --- geometric-optical model --- phenology --- LiDAR --- ZY-3 MUX --- point cloud --- multi-scale validation --- Fraunhofer Line Discrimination (FLD) --- rice --- fractional vegetation cover (FVC) --- interpolation --- high-resolution freeze/thaw --- drought --- Synthetic Aperture Radar (SAR) --- controlling factors --- sampling design --- downscaling --- n/a --- Chinese fir --- MRT-based model --- RADARSAT-2 --- northern China --- leaf area density --- potential evapotranspiration --- black-sky albedo (BSA) --- decision tree --- CMA --- fluorescence quantum efficiency in dark-adapted conditions (FQE) --- surface solar irradiance --- validation --- geographical detector model --- vertical vegetation stratification --- spatiotemporal distribution and variation --- gap fraction --- phenological parameters --- spatio-temporal --- albedometer --- variability --- GLASS --- gross primary productivity (GPP) --- EVI2 --- machine learning algorithms --- latent heat --- GLASS LAI time series --- boreal forest --- leaf --- maize --- heterogeneity --- temperature profiles --- crop-growing regions --- satellite observations --- rugged terrain --- species richness --- voxel --- LAI --- TMI data --- GF-1 WFV --- spectral --- HJ-1 CCD --- leaf area index --- evapotranspiration --- land-surface temperature products (LSTs) --- SPI --- AVHRR --- Tibetan Plateau --- snow-free albedo --- PROSPECT-5B+SAILH (PROSAIL) model --- MCD43A3 C6 --- 3D reconstruction --- photoelectric detector --- multi-data set --- BEPS --- aerosol retrieval --- plant functional type --- multisource data fusion --- remote sensing --- leaf spectral properties --- solo slope --- land surface albedo --- longwave upwelling radiation (LWUP) --- terrestrial LiDAR --- AMSR2 --- geometric optical radiative transfer (GORT) model --- MuSyQ-GPP algorithm --- tree canopy --- FY-3C/MWRI --- meteorological factors --- solar-induced chlorophyll fluorescence --- metric integration --- observations --- polar orbiting satellite --- arid/semiarid --- homogeneous and pure pixel filter --- thermal radiation directionality --- biodiversity --- gradient boosting regression tree --- forest canopy height --- Landsat --- subpixel information --- MODIS --- humidity profiles --- NIR --- geostationary satellite --- South China's --- MS-PT algorithm
Choose an application
Quantitative land remote sensing has recently advanced dramatically, particularly in China. It has been largely driven by vast governmental investment, the availability of a huge amount of Chinese satellite data, geospatial information requirements for addressing pressing environmental issues and other societal benefits. Many individuals have also fostered and made great contributions to its development, and Prof. Xiaowen Li was one of these leading figures. This book is published in memory of Prof. Li. The papers collected in this book cover topics from surface reflectance simulation, inversion algorithm and estimation of variables, to applications in optical, thermal, Lidar and microwave remote sensing. The wide range of variables include directional reflectance, chlorophyll fluorescence, aerosol optical depth, incident solar radiation, albedo, surface temperature, upward longwave radiation, leaf area index, fractional vegetation cover, forest biomass, precipitation, evapotranspiration, freeze/thaw snow cover, vegetation productivity, phenology and biodiversity indicators. They clearly reflect the current level of research in this area. This book constitutes an excellent reference suitable for upper-level undergraduate students, graduate students and professionals in remote sensing.
gross primary production (GPP) --- interference filter --- Visible Infrared Imaging Radiometer Suite (VIIRS) --- cost-efficient --- precipitation --- topographic effects --- land surface temperature --- Land surface emissivity --- scale effects --- spatial-temporal variations --- statistics methods --- inter-annual variation --- spatial representativeness --- FY-3C/MERSI --- sunphotometer --- PROSPECT --- passive microwave --- flux measurements --- urban scale --- vegetation dust-retention --- multiple ecological factors --- leaf age --- standard error of the mean --- LUT method --- spectra --- SURFRAD --- Land surface temperature --- aboveground biomass --- uncertainty --- land surface variables --- copper --- Northeast China --- forest disturbance --- end of growing season (EOS) --- random forest model --- probability density function --- downward shortwave radiation --- machine learning --- MODIS products --- composite slope --- daily average value --- canopy reflectance --- spatiotemporal representative --- light use efficiency --- hybrid method --- disturbance index --- quantitative remote sensing inversion --- SCOPE --- GPP --- South China’s --- anisotropic reflectance --- vertical structure --- snow cover --- land cover change --- start of growing season (SOS) --- MS–PT algorithm --- aerosol --- pixel unmixing --- HiWATER --- algorithmic assessment --- surface radiation budget --- latitudinal pattern --- ICESat GLAS --- vegetation phenology --- SIF --- metric comparison --- Antarctica --- spatial heterogeneity --- comprehensive field experiment --- reflectance model --- sinusoidal method --- NDVI --- BRDF --- cloud fraction --- NPP --- VPM --- China --- dense forest --- vegetation remote sensing --- Cunninghamia --- high resolution --- geometric-optical model --- phenology --- LiDAR --- ZY-3 MUX --- point cloud --- multi-scale validation --- Fraunhofer Line Discrimination (FLD) --- rice --- fractional vegetation cover (FVC) --- interpolation --- high-resolution freeze/thaw --- drought --- Synthetic Aperture Radar (SAR) --- controlling factors --- sampling design --- downscaling --- n/a --- Chinese fir --- MRT-based model --- RADARSAT-2 --- northern China --- leaf area density --- potential evapotranspiration --- black-sky albedo (BSA) --- decision tree --- CMA --- fluorescence quantum efficiency in dark-adapted conditions (FQE) --- surface solar irradiance --- validation --- geographical detector model --- vertical vegetation stratification --- spatiotemporal distribution and variation --- gap fraction --- phenological parameters --- spatio-temporal --- albedometer --- variability --- GLASS --- gross primary productivity (GPP) --- EVI2 --- machine learning algorithms --- latent heat --- GLASS LAI time series --- boreal forest --- leaf --- maize --- heterogeneity --- temperature profiles --- crop-growing regions --- satellite observations --- rugged terrain --- species richness --- voxel --- LAI --- TMI data --- GF-1 WFV --- spectral --- HJ-1 CCD --- leaf area index --- evapotranspiration --- land-surface temperature products (LSTs) --- SPI --- AVHRR --- Tibetan Plateau --- snow-free albedo --- PROSPECT-5B+SAILH (PROSAIL) model --- MCD43A3 C6 --- 3D reconstruction --- photoelectric detector --- multi-data set --- BEPS --- aerosol retrieval --- plant functional type --- multisource data fusion --- remote sensing --- leaf spectral properties --- solo slope --- land surface albedo --- longwave upwelling radiation (LWUP) --- terrestrial LiDAR --- AMSR2 --- geometric optical radiative transfer (GORT) model --- MuSyQ-GPP algorithm --- tree canopy --- FY-3C/MWRI --- meteorological factors --- solar-induced chlorophyll fluorescence --- metric integration --- observations --- polar orbiting satellite --- arid/semiarid --- homogeneous and pure pixel filter --- thermal radiation directionality --- biodiversity --- gradient boosting regression tree --- forest canopy height --- Landsat --- subpixel information --- MODIS --- humidity profiles --- NIR --- geostationary satellite --- South China's --- MS-PT algorithm
Listing 1 - 10 of 10 |
Sort by
|