Novel species of fungi described in this study include those from various countries as follows: Argentina, Septoria reinamora on leaf spots of Mutisia spinosa. Australia, Cortinarius albofolliculus on mossy soil, Cortinarius descensoriformis among leaf litter, Cortinarius kaki among leaf litter, Cortinarius lissosporus in leaf litter, Cortinarius malogranatus in leaf litter, Cortinarius meletlac on soil in mixed forest, Cortinarius sebosioides in long decayed wood litter, Helicogermslita australiensis as an endophyte from healthy leaves of Archontophoenix cunninghamiana, Puccinia clemensiorum on culms of Eleocharis ochrostachys, Puccinia geethae on leaves of Cyperus brevifolius, Puccinia marjaniae on leaves of Nymphoides indica, Puccinia scleriae-rugosae on leaves of Scleria rugosa. Brazil, Dactylaria calliandrae on living leaf of Calliandra tweediei, Mucor cerradoensis from soil, Musicillium palmae on living leaves of unidentified palm species, Neodendryphiella agapanthi from stalks of Agapanthus praecox, Parafusicladium riodejaneiroanum on living leaves of native bamboo, Parapenidiella melastomatis on living leaves of unidentified Melastomataceae, Pararamichloridium ouropretoense on living leaves of unidentified Poaceae, Pentagonomyces endophyticus (incl. Pentagonomyces gen. nov.) as endophytic from roots of Musa acuminata, Polyschema endophytica from healthy roots of coffee plant, Purimyces endophyticus as root endophyte of Cattleya locatellii, Ramularia rhododendri on living leaves of Rhododendron sp., Staphylotrichum soli from soil, Trichoderma sexdentis from leaves inside a nest of the leaf-cutting ant Atta sexdens rubropilosa, Wiesneriomyces soli from soil. France, Cosmospora nemaniae on dead or effete stromata of Nemania cf. colliculosa, Inocybe alnobetulae in subalpine green alder stands, Stylonectria hygrophila on dead twigs of Betula pubescens. Germany, Coniochaeta corticalis from bark humus, Coniochaeta fermentaria from fermentation residues from biogas plants, Coniochaeta fibricola from softwood fibres, Coniochaeta weberae from bark humus, Inocybe canicularis on calcareous to more acidic soil with conifers. Iceland, Inocybe islandica associated with Dryas octopetala. India, Vishniacozyma indica on dead twigs. Iran, Botryotrichum lycii on rotten leaf of Lycium depressum. Italy, Cuphophyllus dolomiticus among Salix retusa, Salix reticulata and Dryas octopetala, Inocybe subentolomospora on moss with the presence of Alnus incana, Populus nigra and Salix spp. Malaysia, Catenulostroma pellitae on leaf spots of Eucalyptus pellita. Mexico, Colletotrichum mexicanus from fruit of Persea americana cv. Hass. New Caledonia (France), Cortinarius caeloculus, Cortinarius luteigemellus and Cortinarius perpensus on soil under Nothofagus aequilateralis. New Zealand, Cytospora braithwaitei on branch of Malus domestica. Pakistan, Callistosporium khalidii on humus soil, Entoloma lilacinum on litter in conifer forest, Laccaria decolorans on litter in broad-leaved subtropical forest. Poland, Pseudoneoconiothyrium modrzynanum from resin of Larix decidua ssp. polonica, Tuberculiforma enigmatica isolated from sooty mould community on Quercus robur leaves. Portugal, Clavulus hemisphaericus (incl. Clavulus gen. nov.) on mossy slopes and under Laurus leaf litter, Entoloma daegae on sandy, granitic soil, Hygrocybe aurantiocitrina under laurel forest, Hygrocybe sanguineolutea gregarious in laurel forest, Hygrocybe vulcanica on mossy areas of laurel forest areas, Pachyphlodes algarvensis on sandy soil under Cistus salvifolius, Quercus suber and Pinus pinea. South Africa, Amycosphaerella podalyriae on leaf of Podalyria calyptrata, Erythrobasidium eucalypti from the gut of Gonipterus sp., Letendraea goniomae on leaves of Gonioma kamassi, Pezicula brabeji and Sphaerulina brabeji on twigs of Brabejum stellatifolium, Stachybotrys conicosiae on dead flower head of Conicosia elongata, Talaromyces ignescens from soil. Spain, Cortinarius phaeobrunneus on soil under Quercus ilex and Q. faginea, Inocybe pini-halepensis among grass and fallen leaves of Pinus halepensis, Inocybe subporcorum in sandy soils under Quercus ilex subsp. ballota and Pinus pinaster, Mycena morenoi on dead leaves of Betula pubescens and Salix atrocinerea, Pachyphlodes iberica on clayey and loamy soil under Quercus ilex and Quercus rotundifolia, Ramariopsis coronata in laurel forest. Switzerland, Inocybe minata in a bog on very wet acidic soil with Salix spp. and Betula spp. Thailand, Hypocrella khonsanitii on scale insects (Coccidae), Petchiella hymenopterorum on hymenopteran pupae in the nest (Hymenoptera). Trinidad and Tobago, Neodevriesia maravalensis from office swab. Türkiye, Russula anatolica under Quercus vulcanica. UK, Paracylindrosporium dactylorhizae (incl. Paracylindrosporium gen. nov.) on leaf spots of Dactylorhiza sp., Niesslia hepworthiae and Niesslia libertiae on living leaves of Libertia grandiflora. Ukraine, Lichenohendersonia cetrariae on thallus of terricolous Cetraria aculeata. USA, Atromagnispora indianensis (incl. Atromagnispora gen. nov.) on submerged wood in a freshwater stream, Cytospora michiganensis from utility room (settle plate), Exophiala aeris from air (settle plate), Hongoboletus americanus from mixed pine-hardwood forest, Lorrainsmithia pennsylvanica from bedroom, air, Superstratomyces massachusettsanus from lyse buffer. Vietnam, Aspergillus halopiscium on dry marine anchovy Stolephorus commersonnii. Morphological and culture characteristics are supported by DNA barcodes.

Climate change is having many effects in the agricultural sector, which are being studied worldwide. Undoubtedly, warmer winters and earlier springs produce changes in frost regimes and severity that will affect the sustainability of agricultural production in the area. The Mediterranean region and the Iberian Peninsula (IP) are among the areas where the greatest impact of climate change is expected. Daily data from 68 weather stations of the IP belonging to the European Climate Assessment and Dataset (1975–2018) were used to conduct a spatiotemporal study of the frost regime. The variables calculated include the probability of three frost types according to their severity, frost day, mean absolute minimum yearly temperature, first frost day, last frost day, and frost-free period. These variables were integrated into a geographic information system, which allowed the graphical visualization of their patterns using of geostatistical interpolation techniques (kriging). Changes in frost variables were investigated using the Mann–Kendall test and Sen’s slope estimator. A general reduction in the number of frosts per year is observed (values between −0.04- and −0.8-day frosts per year), as well as an increase in the mean absolute minimum temperature (values between 0.04 and 0.10 °C per year), with very high significant trends throughout the territory. The reduction in the number of frosts is more pronounced at a higher elevation. Frost dates vary greatly due to the orographic characteristics of the IP. The generalized trend is of a significant delay of the autumn frosts (values between 0.4 and 1.06 days/year), as well as early spring frosts (between −0.429 and −1.29 days/year), and as a consequence a longer frost-free period, all changes were much stronger than those found in other regions of the world. These effects of climate change must be mitigated by modifying species, varieties, and cultivation techniques to guarantee sustainable agriculture.

The use of yield prediction maps is an important tool for the delineation of within-field management zones. Vegetation indices based on crop reflectance are of potential use in the attainment of this objective. There are different types of vegetation indices based on crop reflectance, the most commonly used of which is the NDVI (normalized difference vegetation index). NDVI values are reported to have good correlation with several vegetation parameters including the ability to predict yield. The field research was conducted in two commercial farms of processing tomato crop, Cantillana and Enviciados. An NDVI prediction map developed through ordinary kriging technique was used for guided sampling of processing tomato yield. Yield was studied and related with NDVI, and finally a prediction map of crop yield for the entire plot was generated using two geostatistical methodologies (ordinary and regression kriging). Finally, a comparison was made between the yield obtained at validation points and the yield values according to the prediction maps. The most precise yield maps were obtained with the regression kriging methodology with RRMSE values of 14% and 17% in Cantillana and Enviciados, respectively, using the NDVI as predictor. The coefficient of correlation between NDVI and yield was correlated in the point samples taken in the two locations, with values of 0.71 and 0.67 in Cantillana and Enviciados, respectively. The results suggest that the use of a massive sampling parameter such as NDVI is a good indicator of the distribution of within-field yield variation.