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  • climate change  (334)
  • 04. Solid Earth::04.04. Geology::04.04.01. Earthquake geology and paleoseismology
  • 04.06. Seismology
  • JSTOR Archive Collection Business II
  • MDPI - Multidisciplinary Digital Publishing Institute  (331)
  • Wiley
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  • 1
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    Timing and direction of faunal exchange between the Nearctic and the Palaearctic in Odonata (2024)
    Wiley
    In:  Journal of Biogeography vol. 2024 no. 14963
    Details
    Publikationsdatum: 2024-06-06
    Beschreibung: Aim Species have different distribution patterns across the globe and among biogeographical regions. The Nearctic and Palaearctic regions share lineages because of their parallel biogeographic histories and ecological conditions. As the number of phylogenetic studies increases, there are more insights into past exchange events between these two regions and their effects on the current distribution of diversity. However, several groups have not been tested and an overall generalization is still missing. Here, we analyse the biogeographic history across multiple genera of odonates to elucidate a general process of species exchange, vicariance and species divergence between these two regions. Location The Holarctic, including the entire Nearctic and the East and West Palaearctic. Taxon 14 genera of Odonata (Insecta). Methods We reconstructed a time-calibrated phylogenetic tree for each genus to determine species relationships and divergence time using 3614 COI sequences of 259 species. Biogeographic ancestral range estimation was inferred for each phylogeny using BioGeoBEARS. Preferred habitat (lotic versus lentic) was established for each species. Results Exchange events were not restricted in time, direction or either lentic habitat or lotic habitat. Most genera crossed between both regions only once, and it was mainly across the Beringia, while three diverse anisopteran genera revealed multiple exchanges. Recent exchanges during the Pleistocene were associated with cold-dwelling and lentic species. Main Conclusions Our finding reveals the absence of a generalizable pattern of species exchange and divergence between the Nearctic and Palaearctic regions; instead, we found lineage-specific biogeographic patterns. This finding highlights the complexity of drivers and functional traits that shaped current diversity patterns. Moreover, it emphasizes that general conclusions cannot be formulated based on one single clade.
    Schlagwort(e): biogeography ; climate change ; damselflies ; dragonflies ; Holarctic
    Repository-Name: National Museum of Natural History, Netherlands
    Materialart: info:eu-repo/semantics/article
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  • 2
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    Spatially heterogeneous shifts in vegetation phenology induced by climate change threaten the integrity of the avian migration network (2024)
    Wiley
    In:  Global Change Biology vol. 30 no. e17148
    Details
    Publikationsdatum: 2024-04-22
    Beschreibung: Phenological responses to climate change frequently vary among trophic levels, which can result in increasing asynchrony between the peak energy requirements of consumers and the availability of resources. Migratory birds use multiple habitats with seasonal food resources along migration flyways. Spatially heterogeneous climate change could cause the phenology of food availability along the migration flyway to become desynchronized. Such heterogeneous shifts in food phenology could pose a challenge to migratory birds by reducing their opportunity for food availability along the migration path and consequently influencing their survival and reproduction. We develop a novel graph-based approach to quantify this problem and deploy it to evaluate the condition of the heterogeneous shifts in vegetation phenology for 16 migratory herbivorous waterfowl species in Asia. We show that climate change-induced heterogeneous shifts in vegetation phenology could cause a 12% loss of migration network integrity on average across all study species. Species that winter at relatively lower latitudes are subjected to a higher loss of integrity in their migration network. These findings highlight the susceptibility of migratory species to climate change. Our proposed methodological framework could be applied to migratory species in general to yield an accurate assessment of the exposure under climate change and help to identify actions for biodiversity conservation in the face of climate-related risks.
    Schlagwort(e): bird migration ; climate change ; graph-based approach ; heterogeneous shifts ; network integrity ; phenological asynchrony ; vegetation phenology
    Repository-Name: National Museum of Natural History, Netherlands
    Materialart: info:eu-repo/semantics/article
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  • 3
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    Bank Management, Finance and Sustainability (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publikationsdatum: 2024-04-14
    Beschreibung: This book comprises a collection of empirical and theoretical studies covering a wide range of themes related to bank management, finance and sustainability. Sustainability represents an opportunity for banks as it contributes to improvements in trust in the banking system. However, sustainable business models must be financially viable so that they can have a positive impact on banks’ profitability, stimulating the long-term growth and resilience of the banking industry and overall financial stability.Banks are widely acknowledged as playing a crucial role in achieving the Sustainable Development Goals (SDGs), as they can promote responsible investments and integrate environmental and social criteria into lending and investment strategies. Financial intermediaries can support projects and activities that create a measurable positive economic, social and environmental impact by providing easier access to capital. Furthermore, they can have an active role in improving the financial awareness, inclusion and resilience of the most vulnerable individuals in society.
    Schlagwort(e): firm’s financial performance ; sustainability practices ; Islamic corporate governance ; mobile money ; SMEs ; financial performance ; payments and receipts ; Douala, Cameroon ; human capital ; social capital ; credit availability ; propensity score matching ; China ; risk tolerance ; risk aversion ; risk-taking ; MiFID II ; MiFIR ; suitability assessment ; households ; risky financial assets ; financial institutions ; financial advisory ; portfolio management ; financial constraints ; sustainable development ; ownership structure ; state subsidies ; former communist bloc ; institutional environment ; financial system ; corporate social responsibility ; CSR rating ; bank loan spread ; European syndicated loan market ; content analysis ; ethical banking ; global financial crisis ; hierarchical cluster analysis ; inductive category development ; in-depth interviews ; social banking ; socially responsible investment ; environmental performance ; climate change ; gender diversity ; board of directors ; banking sector ; external support ; environmental practices ; resource efficiency ; sustainable entrepreneurship ; firm size ; financial knowledge ; overconfidence ; underconfidence ; sustainable financial behavior ; financial market participation ; investment fraud ; over-indebtedness ; ethical financial companies ; ESG ; sustainable development goals (SDGs) ; bank efficiency ; bank cost ; stochastic frontier analysis ; stochastic metafrontier analysis ; high-net-worth individuals (HNWIs) ; qualitative research ; reference group theory ; socially responsible investing (SRI) ; thema EDItEUR::W Lifestyle, Hobbies and Leisure::WC Antiques, vintage and collectables::WCF Collecting coins, banknotes, medals and other related items
    Sprache: Englisch
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  • 4
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    Learning to Understand Remote Sensing Images (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publikationsdatum: 2024-04-14
    Beschreibung: With the recent advances in remote sensing technologies for Earth observation, many different remote sensors are collecting data with distinctive properties. The obtained data are so large and complex that analyzing them manually becomes impractical or even impossible. Therefore, understanding remote sensing images effectively, in connection with physics, has been the primary concern of the remote sensing research community in recent years. For this purpose, machine learning is thought to be a promising technique because it can make the system learn to improve itself. With this distinctive characteristic, the algorithms will be more adaptive, automatic, and intelligent. This book introduces some of the most challenging issues of machine learning in the field of remote sensing, and the latest advanced technologies developed for different applications. It integrates with multi-source/multi-temporal/multi-scale data, and mainly focuses on learning to understand remote sensing images. Particularly, it presents many more effective techniques based on the popular concepts of deep learning and big data to reach new heights of data understanding. Through reporting recent advances in the machine learning approaches towards analyzing and understanding remote sensing images, this book can help readers become more familiar with knowledge frontier and foster an increased interest in this field.
    Schlagwort(e): QA75.5-76.95 ; T58.5-58.64 ; metadata ; image classification ; sensitivity analysis ; ROI detection ; residual learning ; image alignment ; adaptive convolutional kernels ; Hough transform ; class imbalance ; land surface temperature ; inundation mapping ; multiscale representation ; object-based ; convolutional neural networks ; scene classification ; morphological profiles ; hyperedge weight estimation ; hyperparameter sparse representation ; semantic segmentation ; vehicle classification ; flood ; Landsat imagery ; target detection ; multi-sensor ; building damage detection ; optimized kernel minimum noise fraction (OKMNF) ; sea-land segmentation ; nonlinear classification ; land use ; SAR imagery ; anti-noise transfer network ; sub-pixel change detection ; Radon transform ; segmentation ; remote sensing image retrieval ; TensorFlow ; convolutional neural network ; particle swarm optimization ; optical sensors ; machine learning ; mixed pixel ; optical remotely sensed images ; object-based image analysis ; very high resolution images ; single stream optimization ; ship detection ; ice concentration ; online learning ; manifold ranking ; dictionary learning ; urban surface water extraction ; saliency detection ; spatial attraction model (SAM) ; quality assessment ; Fuzzy-GA decision making system ; land cover change ; multi-view canonical correlation analysis ensemble ; land cover ; semantic labeling ; sparse representation ; dimensionality expansion ; speckle filters ; hyperspectral imagery ; fully convolutional network ; infrared image ; Siamese neural network ; Random Forests (RF) ; feature matching ; color matching ; geostationary satellite remote sensing image ; change feature analysis ; road detection ; deep learning ; aerial images ; image segmentation ; aerial image ; multi-sensor image matching ; HJ-1A/B CCD ; endmember extraction ; high resolution ; multi-scale clustering ; heterogeneous domain adaptation ; hard classification ; regional land cover ; hypergraph learning ; automatic cluster number determination ; dilated convolution ; MSER ; semi-supervised learning ; gate ; Synthetic Aperture Radar (SAR) ; downscaling ; conditional random fields ; urban heat island ; hyperspectral image ; remote sensing image correction ; skip connection ; ISPRS ; spatial distribution ; geo-referencing ; Support Vector Machine (SVM) ; very high resolution (VHR) satellite image ; classification ; ensemble learning ; synthetic aperture radar ; conservation ; convolutional neural network (CNN) ; THEOS ; visible light and infrared integrated camera ; vehicle localization ; structured sparsity ; texture analysis ; DSFATN ; CNN ; image registration ; UAV ; unsupervised classification ; SVMs ; SAR image ; fuzzy neural network ; dimensionality reduction ; GeoEye-1 ; feature extraction ; sub-pixel ; energy distribution optimizing ; saliency analysis ; deep convolutional neural networks ; sparse and low-rank graph ; hyperspectral remote sensing ; tensor low-rank approximation ; optimal transport ; SELF ; spatiotemporal context learning ; Modest AdaBoost ; topic modelling ; multi-seasonal ; Segment-Tree Filtering ; locality information ; GF-4 PMS ; image fusion ; wavelet transform ; hashing ; machine learning techniques ; satellite images ; climate change ; road segmentation ; remote sensing ; tensor sparse decomposition ; Convolutional Neural Network (CNN) ; multi-task learning ; deep salient feature ; speckle ; canonical correlation weighted voting ; fully convolutional network (FCN) ; despeckling ; multispectral imagery ; ratio images ; linear spectral unmixing ; hyperspectral image classification ; multispectral images ; high resolution image ; multi-objective ; convolution neural network ; transfer learning ; 1-dimensional (1-D) ; threshold stability ; Landsat ; kernel method ; phase congruency ; subpixel mapping (SPM) ; tensor ; MODIS ; GSHHG database ; compressive sensing ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Sprache: Englisch
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  • 5
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    Physical Processes in Lakes (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publikationsdatum: 2024-04-11
    Beschreibung: Physical processes are keys for the status of a lake. In this Special Issue, the emphasis is on dissolved oxygen and on exchange of gases, energy and momentum between atmosphere and further mixing and consumption within the water. The studies presented relate to ice-free as well as ice-covered lakes. Field measurements are combined with theoretical approaches.
    Schlagwort(e): hydrodynamic model ; bubble plume ; artificial mixing ; GLM ; Si3D ; dissolved gas ; Henry law ; total gas pressure ; ebullition ; greenhouse gases ; lacustrine waters ; diurnal variation ; hourly model ; water temperature ; dissolved oxygen ; shallow lakes ; and sediment heat flux ; water quality ; chlorophyll-a ; phosphorus ; phosphorus release ; full set of turbulent stresses ; Acoustic Doppler current profilers ; interbeam velocity correlations ; ice-covered lakes ; convectively-mixed layer ; anisotropic turbulence ; shallow lake ; ice-covered period ; ice phenology ; snow-ice cover thickness ; under-ice irradiance ; radiatively driven convection ; climate change ; 3D modelling ; stratification ; bubble plumes ; fractal ; lakes ; mixing ; multi-scale ; turbulence ; energy fluxes ; energy content ; reservoirs ; internal waves ; surface waves ; biogenic turbulence ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
    Sprache: Englisch
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  • 6
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    Recent Advances in Energy Efficiency of Buildings (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publikationsdatum: 2024-04-11
    Beschreibung: Buildings are important consumers of energy; in fact, they represent 30–45% of the global energy use and one-third of total greenhouse gas emissions, as well as contributing to the urban heat-island effect. In consequence, the correct design and execution of buildings, use of new materials that reduce energy demand, and efficient use of renewable energy are all necessary to reduce the impacts that occur during their life-cycle. This book shows some examples, focused on improving the energy-efficiency of buildings, in accordance with circular economy policies and life-cycle phases, including design, construction and use. The editor wishes to thank all the authors for contributing to this book, as well as to the assistance of MDPI’s editorial office.
    Schlagwort(e): climate-oriented ; buildings ; building construction ; climate zones ; climate change ; bibliometric ; climate zone ; building ; energy demand ; building resilience ; air quality ; air pollution ; SUNSPACE ; PM removal ; azure chemistry ; circular economy ; sustainability ; SDG 11 ; SDG 12 ; buying intention ; energy-efficient home appliances ; green self-identity ; theory of planned behavior ; waste glass ; light reflectance ; building material coatings ; soda–lime–silica glass ; lead–silica glass ; cool surface ; cool material ; cool roof ; urban heat island ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Sprache: Englisch
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  • 7
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    Buildings of Tomorrow (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publikationsdatum: 2024-04-11
    Beschreibung: This reprint aims to address the challenges modern-day buildings face in the context of high energy and resource consumption and climate change. One of the ways to address the issues is holistic design and operation of high-performance buildings in the area of energy efficiency, occupant health, and comfort. All this should be achieved through synergic interconnectedness between parameters such as the indoor–outdoor environment, sustainability, and resilience. Through different chapters, this reprint highlights the key areas, namely, the optimization of building design parameters, the impact of the use of modern-day phase-change materials, the adaptation of occupants and buildings to climate change, the mitigation of urban overheating by cool roofs, and reducing energy demand and CO2 emissions.
    Schlagwort(e): climate change ; bioclimatic design ; passive design ; energy efficiency ; overheating ; building resilience ; robustness ; shape factor ; building ; thermal envelope ; energy demand ; CO2 emissions ; white roofs ; cool roofs ; reflective material ; cost-benefit ; energy savings ; urban heat island ; thermal comfort ; indoor environmental quality ; educational buildings ; energy consumptions ; local discomfort ; building energy retrofitting ; phase change materials ; aerogel render ; heat stress risk ; emission ; lifecycle cost ; peak cooling load ; residential building ; building envelope ; multi-objective genetic algorithm ; TRNSYS ; climate zone ; multi-criteria decision making ; CRITIC ; TOPSIS ; capture devices ; variables ; field surveys ; thermal perceptions ; adaptive actions ; hostel dormitories ; composite climate of India ; reflective materials ; mitigation ; outdoor comfort ; visual comfort ; heat stress ; optimization ; skyscrapers ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Sprache: Englisch
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  • 8
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    Feature Papers of Water Resources Management, Policy and Governance (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publikationsdatum: 2024-04-11
    Beschreibung: Water resource management includes the consideration of all disciplines of hydrology and water sources. Water supplies are allocated and diverted to cover the water needs of a range of agricultural, municipal, industrial, hydro-electrical, and ecological water uses. These water uses are, usually, very competitive, as the available water resources are limited and it is not possible to cover the total water needs in a basin, requiring the setting of water use priorities to best serve societal and ecological needs. To manage the water resources and waterworks may, sometimes, lead to confrontational deliberations and negotiations. As a result, water resource management is one of the world’s greatest challenges due to competition for limited resources, regional disparities in water supply and affluence, mounting global water demand, aquifer depletion, and pollution- and climate-change-induced water stress. Proper policy and governance for sustainable water resource management is essential and require new fresh ideas, innovation, and international cooperation. This book includes seven papers by invited renowned researchers and engineers to cover issues of water resource management, governance, and policy. These issues include the following topics: Integrated water resource management; Water resource systems and water availability; National and international water policy, institutional arrangements, and water law; Water conflict resolution, public participation, and decision making; Water resource management, policy and governance in socially and environmentally sensitive areas and regions.
    Schlagwort(e): water allocation ; planning ; river/reservoir systems ; water availability modeling ; global change ; integrated assessment modelling ; system dynamics simulation ; water resources management ; water supply ; climate change ; earth system ; feedback ; conflicts ; environmental flows ; small-scale hydropower projects ; institutional change ; nestedness ; governance mode ; legal pluralism ; mulberry-dyke-fish pond ecosystem ; spatial evolution analysis ; remote sensing ; Guangdong–Hong Kong–Macao Greater Bay Area ; prolonged drought ; scarcity ; indicators ; transboundary river basins ; Iberian Peninsula ; climate crisis ; water adaptation ; Greece ; Koronia lake ; sustainability ; Mygdonia Basin ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Sprache: Englisch
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  • 9
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    Advances in Transportation Meteorology (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publikationsdatum: 2024-04-11
    Beschreibung: Transportation is one of the most crucial aspects across the world, supporting the daily life of human beings and the sustainable development of the whole of society. Generally, meteorology causes various impacts on transportation operation, safety and efficiency. In the context of global warming, increasing numbers of extreme weather and climate events (such as fog, icy roads, and extreme winds) have been detected worldwide and are expected to occur more frequently in the future. Meanwhile, extreme events, such as dense fog, rainstorm, and blizzard, tend to damage transportation and traffic facilities (such as express ways, port, airport, and high-speed railway) and induce serious traffic blocks and accidents. In recent decades, concentrated and continuous efforts have been made to carry out meteorological analyses regardless of urban traffic or transportation conditions, including those of highways, shipping, aviation, etc. A number of methods and techniques have been intensively developed to promote the qualities of both observations and forecasts. More recently, state-of-the-art machine learning frameworks have also been widely introduced into studies regarding transportation meteorology and many other fields.
    Schlagwort(e): transportation meteorology ; pavement temperature prediction ; deep learning ; BiLSTM ; attention mechanisms ; winter icing ; air pollution ; traffic vitality ; built environment ; spatial correlation ; spatial lag model ; phone signaling data ; air quality ; behavioral habits ; activity density ; population distribution ; land use mix ; wind forecast ; error decomposition ; bias ; distribution ; sequence ; urban meteorology ; observation ; forecast ; early warning ; review ; China ; low-level wind shear ; ensemble learning classifiers ; Bayesian optimization ; SHapley Additive exPlanations ; wind shear ; go-around ; machine learning ; dynamic ensemble selection ; civil aviation safety ; pilot reports ; self-paced ensemble ; Shapley additive explanations ; climate change ; climatology ; sea ice ; marginal sea ; East Asia ; time-series modeling ; pavement temperature ; nowcasting ; variation characteristics ; forecast validation ; relative humidity ; microwave radiometer data ; total rainfall ; precipitation duration ; vertical distribution ; Beijing–Tianjin–Hebei region ; rail breakage ; frequency ; high-speed railway ; Siberian high ; teleconnection ; temperature ; Qinling mountains ; rainfall ; change characteristics ; geographical factors ; highways ; road blockage ; fuzzy analytic hierarchy process ; CRITIC weight assignment method ; road network vulnerability ; spatiotemporal distribution ; precipitation forecast ; ConvLSTM ; PredRNN ; expressway ; agglomerate fog ; risk level prediction of fog-related accidents ; meteorological conditions ; road hidden dangers ; traffic flow conditions ; visibility ; Yellow Sea and Bohai Sea ; observation data ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TR Transport technology and trades
    Sprache: Englisch
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  • 10
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    Advances in Plant Physiology of Abiotic Stresses (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publikationsdatum: 2024-04-11
    Beschreibung: Plant stress could be defined as any unfavorable condition or substance that can affect or block the metabolism, growth or development of a plant. The response of the plant may vary depending on the frequency and intensity of the stressor, as well as the developmental stage of the plant. Plants, throughout their life cycle, are exposed to a large number of conditions or stressors. Abiotic stress is stress caused by non-living agents. Depending on the nature of the causal agent, it can be divided into physical and chemical. Physical (actually, physical-chemical) stresses include water deficits, salinity (in its osmotic component), temperature extremes (heat, cold, freezing), excessive or insufficient irradiation, anaerobiosis caused by waterlogging or flooding, mechanical stress caused by wind or excessive soil compaction and stress induced by wounds or injuries. Chemical stress is caused by salinity (in its ionic or toxic component), by the lack of mineral elements and by environmental pollutants such as sulphur dioxide (SO2), nitrogen oxides (NOx), chlorofluorocarbon compounds (CFCs), ozone (O3) and metals. The abiotic stresses that most negatively affect growth and production are probably drought, salt stress and temperature stress (high and low temperatures), all of which are associated with climate change.
    Schlagwort(e): gene bank ; germination ; orthodox seeds ; priming ; reactive oxygen species ; deficit irrigation ; plant physiology ; ornamental plants ; water relations ; water-use efficiency ; abiotic stress ; climacteric fruit ; ethylene scavengers ; fruit quality ; potassium permanganate ; Prunus persica ; UV radiation ; climate change ; soilless agriculture ; blossom-end rot ; tipburn ; calcium deficiency ; basil ; heat stress ; metabolome ; transcriptome ; molecular mechanism ; antioxidase ; factor analysis ; ion homeostasis ; osmoregulatory substance ; salicylic acid ; salt stress ; Melia azedarach ; provenance ; water deficit ; physiology response ; comprehensive evaluation ; chilling stress ; phenolics ; momilactones ; gene expression ; biosynthesis ; ultra-performance liquid chromatography-electrospray ionization-mass spectrometry ; real-time quantitative polymerase chain reaction ; L-arginine ; phenological periods ; regulated deficit irrigation (RDI) ; root reserves ; yield ; brassicas ; hyperspectral reflectance ; imaging sensors ; plant phenotyping ; multicolor fluorescence imaging ; thermography ; vegetation index ; salt tolerance ; Triticum aestivum L. ; Triticum durum Desf. ; autophagy ; mitophagy ; PCD ; ROS ; electromagnetic field ; seed priming ; eustress ; seed aging ; phytohormones ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
    Sprache: Englisch
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