Estimation of transpiration in coffee crop using heat dissipation sensors

Alguns métodos são capazes de determinar diretamente a quantidade de água consumida por uma planta, entre eles o método de dissipação de calor ou método de Granier. Neste trabalho se propôs, como objetivo, construir e calibrar sensores de dissipação térmica, avaliar a transpiração em função da posição de inserção do sensor na planta (Norte, Sul, Leste ou Oeste) e comparar os resultados com os elementos meteorológicos e a evapotranspiração de referência. Em 24 cafeeiros se instalaram sensores de dissipação térmica, adaptados de Granier (1985), em que o conjunto termopar e resistência foi inserido na agulha. Obteve-se a densidade de fluxo de seiva a partir da variação da diferença de temperatura entre as sondas e se acompanhou a transpiração, em função da transição entre os períodos diurno e noturno. O experimento foi avaliado em 3 períodos: antecedente à floração, na floração e no início da frutificação. Não houve diferença significativamente entre os ângulos de inserção para o fluxo de seiva. Quanto aos elementos meteorológicos, a radiação e a umidade relativa foram os fatores mais determinantes da transpiração obtendo-se, por análises de regressão coeficientes r² entre 0,84 e 0,80.Some methods are capable of directly determining the amount of water consumed by a plant, among them, the heat dissipation method or Granier method. This study aimed to: build and calibrate sensors of thermal dissipation; to evaluate the transpiration as a function of the position of insertion of the sensor in the plant (North, South, East or West) and to compare the results with the meteorological elements and the evapotranspiration of reference. In 24 coffee plants, thermal dissipation sensors adapted from Granier (1985) were installed, where the whole thermocouple and resistance were inserted into the needle. Density of the sap flow was obtained from the variation of the difference in temperature between the probes and accompanied transpiration according to the transition between day and night periods. The experiment was evaluated during 3 periods: before flowering, during the flowering and at the beginning of fruiting. There was no significant difference between the angles of insertion to the sap flow. Regarding the meteorological elements, radiation and relative humidity were the most determinant factors in transpiration, obtained by analysis of regressions with, r² coefficients between 0.84 and 0.80

MAMMALS IN PORTUGAL : A data set of terrestrial, volant, and marine mammal occurrences in P ortugal

Mammals are threatened worldwide, with 26% of all species being includedin the IUCN threatened categories. This overall pattern is primarily associatedwith habitat loss or degradation, and human persecution for terrestrial mam-mals, and pollution, open net fishing, climate change, and prey depletion formarine mammals. Mammals play a key role in maintaining ecosystems func-tionality and resilience, and therefore information on their distribution is cru-cial to delineate and support conservation actions. MAMMALS INPORTUGAL is a publicly available data set compiling unpublishedgeoreferenced occurrence records of 92 terrestrial, volant, and marine mam-mals in mainland Portugal and archipelagos of the Azores and Madeira thatincludes 105,026 data entries between 1873 and 2021 (72% of the data occur-ring in 2000 and 2021). The methods used to collect the data were: live obser-vations/captures (43%), sign surveys (35%), camera trapping (16%),bioacoustics surveys (4%) and radiotracking, and inquiries that represent lessthan 1% of the records. The data set includes 13 types of records: (1) burrowsjsoil moundsjtunnel, (2) capture, (3) colony, (4) dead animaljhairjskullsjjaws, (5) genetic confirmation, (6) inquiries, (7) observation of live animal (8),observation in shelters, (9) photo trappingjvideo, (10) predators dietjpelletsjpine cones/nuts, (11) scatjtrackjditch, (12) telemetry and (13) vocalizationjecholocation. The spatial uncertainty of most records ranges between 0 and100 m (76%). Rodentia (n=31,573) has the highest number of records followedby Chiroptera (n=18,857), Carnivora (n=18,594), Lagomorpha (n=17,496),Cetartiodactyla (n=11,568) and Eulipotyphla (n=7008). The data setincludes records of species classified by the IUCN as threatened(e.g.,Oryctolagus cuniculus[n=12,159],Monachus monachus[n=1,512],andLynx pardinus[n=197]). We believe that this data set may stimulate thepublication of other European countries data sets that would certainly contrib-ute to ecology and conservation-related research, and therefore assisting onthe development of more accurate and tailored conservation managementstrategies for each species. There are no copyright restrictions; please cite thisdata paper when the data are used in publications.info:eu-repo/semantics/publishedVersio

I Diretrizes do Grupo de Estudos em Cardiogeriatria da Sociedade Brasileira de Cardiologia

O idoso apresenta características próprias na manifestação das doenças, na resposta à terapêutica e no efeito colateral dos medicamentos. Constitui um grupo de maior risco para o aparecimento das doenças degenerativas, em geral, e cardiovasculares, em particular, além de apresentar maior número de comorbidades

Mammals in Portugal: a data set of terrestrial, volant, and marine mammal occurrences in Portugal

Mammals are threatened worldwide, with ~26% of all species being included in the IUCN threatened categories. This overall pattern is primarily associated with habitat loss or degradation, and human persecution for terrestrial mammals, and pollution, open net fishing, climate change, and prey depletion for marine mammals. Mammals play a key role in maintaining ecosystems functionality and resilience, and therefore information on their distribution is crucial to delineate and support conservation actions. MAMMALS IN PORTUGAL is a publicly available data set compiling unpublished georeferenced occurrence records of 92 terrestrial, volant, and marine mammals in mainland Portugal and archipelagos of the Azores and Madeira that includes 105,026 data entries between 1873 and 2021 (72% of the data occurring in 2000 and 2021). The methods used to collect the data were: live observations/captures (43%), sign surveys (35%), camera trapping (16%), bioacoustics surveys (4%) and radiotracking, and inquiries that represent less than 1% of the records. The data set includes 13 types of records: (1) burrows | soil mounds | tunnel, (2) capture, (3) colony, (4) dead animal | hair | skulls | jaws, (5) genetic confirmation, (6) inquiries, (7) observation of live animal (8), observation in shelters, (9) photo trapping | video, (10) predators diet | pellets | pine cones/nuts, (11) scat | track | ditch, (12) telemetry and (13) vocalization | echolocation. The spatial uncertainty of most records ranges between 0 and 100 m (76%). Rodentia (n =31,573) has the highest number of records followed by Chiroptera (n = 18,857), Carnivora (n = 18,594), Lagomorpha (n = 17,496), Cetartiodactyla (n = 11,568) and Eulipotyphla (n = 7008). The data set includes records of species classified by the IUCN as threatened (e.g., Oryctolagus cuniculus [n = 12,159], Monachus monachus [n = 1,512], and Lynx pardinus [n = 197]). We believe that this data set may stimulate the publication of other European countries data sets that would certainly contribute to ecology and conservation-related research, and therefore assisting on the development of more accurate and tailored conservation management strategies for each species. There are no copyright restrictions; please cite this data paper when the data are used in publications

Brazilian cave heritage under siege

info:eu-repo/semantics/publishe