216 resultados para fertilizing
Resumo:
This data set contains information on vegetation cover, i.e. the proportion of soil surface area that is covered by different categories of plants per estimated plot area. Data was collected on the plant community level (sown plant community, weed plant community, dead plant material, and bare ground) and on the level of individual plant species in case of the sown species. Data presented here is from the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained by bi-annual weeding and mowing. In 2002, vegetation cover was estimated only once in Septemper just prior to mowing (during peak standing biomass) on all experimental plots of the Main Experiment. Cover was visually estimated in a central area of each plot 3 by 3 m in size (approximately 9 m²) using a decimal scale (Londo). Cover estimates for the individual species (and for target species + weeds + bare ground) can add up to more than 100% because the estimated categories represented a structure with potentially overlapping multiple layers. In 2002, cover on the community level was only estimated for the sown plant community, weed plant community and bare soil. In contrast to later years, cover of dead plant material was not estimated.
Resumo:
This data set contains information on vegetation cover, i.e. the proportion of soil surface area that is covered by different categories of plants per estimated plot area. Data was collected on the plant community level (sown plant community, weed plant community, dead plant material, and bare ground) and on the level of individual plant species in case of the sown species. Data presented here is from the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained by bi-annual weeding and mowing. In 2003, vegetation cover was estimated twice in May and August just prior to mowing (during peak standing biomass) on all experimental plots of the Main Experiment. Cover was visually estimated in a central area of each plot 3 by 3 m in size (approximately 9 m²) using a decimal scale (Londo). Cover estimates for the individual species (and for target species + weeds + bare ground) can add up to more than 100% because the estimated categories represented a structure with potentially overlapping multiple layers. In 2003, cover on the community level was only estimated for the sown plant community, weed plant community and bare soil. In contrast to later years, cover of dead plant material was not estimated.
Resumo:
This data set contains information on vegetation cover, i.e. the proportion of soil surface area that is covered by different categories of plants per estimated plot area. Data was collected on the plant community level (sown plant community, weed plant community, dead plant material, and bare ground) and on the level of individual plant species in case of the sown species. Data presented here is from the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained by bi-annual weeding and mowing. In 2005, vegetation cover was estimated twice in May and August just prior to mowing (during peak standing biomass) on all experimental plots of the Main Experiment. Cover was visually estimated in a central area of each plot 3 by 3 m in size (approximately 9 m²) using a decimal scale (Londo). Cover estimates for the individual species (and for target species + weeds + bare ground) can add up to more than 100% because the estimated categories represented a structure with potentially overlapping multiple layers. In 2005, dead plant material was found only in a few plots. Therefore, cover of dead plant material is zero for most of the 82 plots.
Resumo:
This data set contains information on vegetation cover, i.e. the proportion of soil surface area that is covered by different categories of plants per estimated plot area. Data was collected on the plant community level (sown plant community, weed plant community, dead plant material, and bare ground) and on the level of individual plant species in case of the sown species. Data presented here is from the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained by bi-annual weeding and mowing. In 2006, vegetation cover was estimated twice in June and August just prior to mowing (during peak standing biomass) on all experimental plots of the Main Experiment. Cover was visually estimated in a central area of each plot 3 by 3 m in size (approximately 9 m²) using a decimal scale (Londo). Cover estimates for the individual species (and for target species + weeds + bare ground) can add up to more than 100% because the estimated categories represented a structure with potentially overlapping multiple layers. In 2006, dead plant material was found only in a few plots. Therefore, cover of dead plant material is zero for most of the 82 plots.
Resumo:
This data set contains information on vegetation cover, i.e. the proportion of soil surface area that is covered by different categories of plants per estimated plot area. Data was collected on the plant community level (sown plant community, weed plant community, dead plant material, and bare ground) and on the level of individual plant species in case of the sown species. Data presented here is from the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained by bi-annual weeding and mowing. In 2007, vegetation cover was estimated twice in June and August just prior to mowing (during peak standing biomass) on all experimental plots of the Main Experiment. Cover was visually estimated in a central area of each plot 3 by 3 m in size (approximately 9 m²) using a decimal scale (Londo). Cover estimates for the individual species (and for target species + weeds + bare ground) can add up to more than 100% because the estimated categories represented a structure with potentially overlapping multiple layers. In 2007, dead plant material was found only in a few plots. Therefore, cover of dead plant material is zero for most of the 82 plots.
Resumo:
Soil temperature (in °C) was determined using a PT100 resistance thermometer that was inserted 5 cm into the ground. Soil temperature was recorded every hour of the day during July 2006. The average of five monthly measurements of soil temperature was calculated. All data where measured in the main experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown in the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, or 4 functional groups). Plots were maintained by bi-annual weeding and mowing.
Resumo:
This data set contains measurements of ant abundance (number of individuals observed at the baits) and ant occurrence (binary data) measured in the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). Ants were sampled in 80 plots of the Main Experiment using baited traps in July 2006. In each plot two petri dishes were set on the ground, one received ~10g of Tuna the other ~10g of sugar (Sucrose). After 30min the occurrence (presence = 1 / absence = 0) and abundance (number) of ants at the two baits was recorded. Given is, per plot, the sum of ants attracted to the two different baits. In the Main Experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown in the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, or 4 functional groups). Plots were maintained by bi-annual weeding and mowing.
Resumo:
This data set contains measurements of ant abundance (number of individuals attracted to baits) and ant occurrence (binary data) measured in the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the Main Experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown in the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, or 4 functional groups). Plots were maintained by bi-annual weeding and mowing. Ants where sampled in 80 plots of the Main Experiment using baited traps end of July/ beginning of August 2013. Sampling took place 36 days after the end of a major flooding of the field site that lasted for several weeks (see DOI flood descriptor). In each plot two petri dishes were set on the ground, one received ~10g of Tuna the other ~10g of Honey. After 30min the occurrence (presence = 1 / absence = 0) and abundance (number) of ants at the two baits was recorded. Given is, per plot, the sum of ants attracted to the two different baits.
Resumo:
This data set contains information on vegetation cover, i.e. the proportion of soil surface area that is covered by different categories of plants per estimated plot area. Data was collected on the plant community level (sown plant community, weed plant community, dead plant material, and bare ground) and on the level of individual plant species in case of the sown species. Data presented here is from the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained by bi-annual weeding and mowing. In 2004, vegetation cover was estimated twice in May and August just prior to mowing (during peak standing biomass) on all experimental plots of the Main Experiment. Cover was visually estimated in a central area of each plot 3 by 3 m in size (approximately 9 m²) using a decimal scale (Londo). Cover estimates for the individual species (and for target species + weeds + bare ground) can add up to more than 100% because the estimated categories represented a structure with potentially overlapping multiple layers. In 2004, cover on the community level was only estimated for the sown plant community, weed plant community and bare soil. In contrast to later years, cover of dead plant material was not estimated.
Resumo:
The Jena Biodiversity Experiment is located on a Central European mesophilic floodplain on the banks of the Saale River (see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown in the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, or 4 functional groups). Plots were maintained by bi-annual weeding and mowing. In June 2013, a natural 200-year flood event occurred at the field site. Rainfall in May 2013 in Jena was ~150mm, constituting >25% of annual precipitation at the site that year. Overall the flood affected the entire Elbe River Basin and much of Europe and was one of the largest natural flooding events in the past two centuries. The flood lasted for a total of 24 days at the site (30 May-24 June) and led to anaerobic soil conditions. Due to small topographical differences among the plots in the experiment (<1m), there was variation in the duration of flooding and the proportion of each plot that was flooded. This variation was well-distributed across the diversity gradient. To assess the importance of flood severity, the proportion of each plot that was flooded was estimated by eye (using five classes: 0 completely dry, 0.25 up to a quarter under water, 0.5 half, 0.75 up to three quarters under water, and 1 more than three quarters under water up to completely submerged). These values, for each of the 24 days that the flood lasted, were summed up to calculate a flooding index. The resulting flooding index is given for each plot of the Main Experiment.
Resumo:
This collection contains measurements of environmental conditions measured on the plots of the different sub-experiments at the field site of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained by bi-annual weeding and mowing. The following series of datasets are contained in this collection: 1.Soil temperature measurements on plots of the Main Experiment; 2. Quantification of the duration that individual plots of the Main Experiment were submerged during a flooding event occurring in June 2013
Resumo:
Explicit and integrated inclusion of ecosystem services (ESs) and their interrelationships can improve the quality of strategic plans and decision-making processes. However, there is little systematic analysis of how ES interrelationships are framed in policy language, particularly in coastal planning discourse. The objective of this paper is therefore to present a four-step method, based on content analysis, to assess ES interrelationships in coastal strategic planning documents. The method consists of: 1) selecting strategic plans; 2) identifying ESs; 3) identifying drivers, ESs and their effects; and 4) constructing relational diagrams. The four-step method is applied to a case of Jiaozhou Bay in China, demonstrating its capacity of identifying which drivers and ES trade-offs and synergies are formulated in coastal strategic plans. The method is helpful to identify overlooked ES interrelationships, inform temporal and spatial issues, and assess the continuity of plans' attention to interrelationships. The main methodological contributions are discussed by emphasizing its broad scope of drivers and ESs and an explicit distinction among the cause of relationships. The developed method also has the potential of cross-fertilizing other kinds of approaches and facilitating practical planning processes.
Resumo:
La croissance du phytoplancton est limitée par les faibles concentrations de fer (Fe) dans près de 40% de l’océan mondial. Le Pacifique subarctique Nord-Est représente une de ces zones limitées en fer et désignées High Nutrient - Low Chlorophyll (HNLC). Cet écosystème, dominé par des cellules de petite taille telles les prymnésiophytes, est caractérisé par de très faibles concentrations estivales de chlorophylle a et de fortes concentrations de macronutriments. Il a été maintes fois démontré que les ajouts de fer, sous différentes formes chimiques (habituellement FeSO4), dans les zones HNLC, stimulent la croissance et modifient la structure des communautés planctoniques en favorisant la croissance des cellules de grande taille, notamment les diatomées. Ces effets sur la communauté planctonique ont le potentiel d’influencer les grands mécanismes régulateurs du climat, tels la pompe biologique de carbone et la production de diméthylsulfure (DMS). Les poussières provenant des déserts du nord de la Chine sont reconnues depuis longtemps comme une source sporadique importante de fer pour le Pacifique Nord-Est. Malgré leur importance potentielle, l’influence directe exercée par ces poussières sur l’écosystème planctonique de cette zone HNLC n’a jamais été étudiée. Il s’agit d’une lacune importante puisque le fer associé aux poussières est peu soluble dans l’eau de mer, que la proportion biodisponible n’est pas connue et que les poussières peuvent avoir un effet inhibiteur chez le phytoplancton. Cette thèse propose donc, dans un premier temps, de mesurer pour la première fois l’effet de la fertilisation de la communauté planctonique du Pacifique Nord-Est par un gradient de concentrations de poussières désertiques naturelles. Cette première expérimentation a démontré que le fer contenu dans les poussières asiatiques est biodisponible et qu’une déposition équivalente à celles prenant place au printemps dans le Pacifique Nord-Est peut résulter en une stimulation significative de la prise de nutriments et de la croissance du phytoplancton. Mes travaux ont également montré que l’ajout de 0,5 mg L-1 de poussières peut résulter en la production d’autant de biomasse algale que l’ajout de FeSO4, l’espèce chimique utilisée lors des expériences d’enrichissement en fer à grande échelle. Cependant, les ajouts de FeSO4 favorisent davantage les cellules de petite taille que les ajouts de poussières, observation démontrant que le FeSO4 n’est pas un proxy parfait des poussières asiatiques. Dans un deuxième temps, je me suis intéressée à une source alternative de fer atmosphérique, les cendres volcaniques. Mon intérêt pour cette source de fer a été attisé par les observations d’une floraison spectaculaire dans le Pacifique Nord-Est, ma région d’étude, associée à l’éruption de 2008 du volcan Kasatochi dans les îles Aléoutiennes. Forte de mon expérience sur les poussières, j’ai quantifié l’effet direct de ces cendres volcaniques sur la communauté planctonique du Pacifique Nord-Est. Mes résultats ont montré que le fer contenu dans les cendres volcaniques est également biodisponible pour le phytoplancton. Ils ont également montré que cette source de fer peut être aussi importante que les poussières désertiques dans la régulation de la croissance du phytoplancton dans cette partie de l’océan global à l’échelle millénaire. Dans un troisième temps, j’ai estimé comment l’acidification des océans modulera les réponses des communautés planctoniques aux dépositions naturelles de fer mises en évidence lors de mes expériences précédentes. Pour ce faire, j’ai effectué des enrichissements de poussière dans de l’eau de mer au pH actuel de 8.0 et dans l’eau de mer acidifiée à un pH de 7.8. Mes résultats ont montré une diminution du taux de croissance du phytoplancton dans le milieu acidifié mais pas de changement notable dans la structure de la communauté. Les ajouts de poussières et de cendres, de même que les variations de pH, n’ont pas eu d’effet significatif sur la production de DMS et de son précurseur le diméthylsulfoniopropionate (DMSP), probablement en raison de la courte durée (4 jours) des expériences. L’ensemble des résultats de cette thèse montre que le fer contenu dans diverses sources atmosphériques naturelles est biodisponible pour le phytoplancton du Pacifique Nord-Est et que des taux de déposition réalistes peuvent stimuler la croissance de manière notable dans les premiers jours suivant une tempête désertique ou une éruption volcanique. Finalement, les résultats de mes expériences à stresseurs multiples Fer/acidification suggèrent une certaine résistance des communautés phytoplanctoniques à la diminution du pH prédite d’ici la fin du siècle pour les eaux de surface des océans.
Resumo:
Résumé: Les cellules germinales mâles remodèlent leur chromatine pour compacter leur noyau afin de protéger leur matériel génétique et assurer un transit optimal vers le gamète femelle. Il a été démontré que tous les spermatides de plusieurs mammifères, incluant l’homme et la souris, présentaient ce mécanisme de remodelage de la chromatine. Celui-ci est caractérisé par une augmentation transitoire de cassures d’ADN dont une quantité importante sont bicaténaires. Ce remodelage chromatinien a été étudié et semble être conservé chez plusieurs espèces, allant de l’algue à l’humain. Dans le contexte de la recherche fondamentale sur le phénomène de la spermiogenèse, il devient parfois très difficile d’investiguer certains aspects importants en vertu de l’impossibilité de réaliser des manipulations génétiques simples. Il est donc impératif de développer un nouveau modèle d’étude plus permissif afin de palier à ces difficultés encourues. Comme le processus de maturation des spores chez la levure à fission présente de grandes similitudes avec la spermiogenèse des mammifères, l’utilisation d’un modèle d’étude basé sur la sporulation de la levure à fission Schizosaccharomyces pombe a été proposée comme modèle comparatif de la spermatogenèse murine. À la suite de la synchronisation de la méiose de la souche S. pombe pat1-114, des analyses d’électrophorèse en champ pulsé (PFGE) et de qTUNEL ont permis de déterminer la présence de cassures bicaténaires transitoires de l’ADN lors de la maturation post-méiotique des ascospores nouvellement formés (t>7h). Des analyses par immunobuvardages dirigés contre le variant d’histones H2AS129p suggère la présence d’un remodelage chromatinien postméiotique dix heures suivant l’induction de la méiose, corroborant le modèle murin. Enfin, des analyses protéomiques couplées à l’analyse par spectrométrie de masse ont permis de proposer l’endonucléase Pnu1 comme candidat potentiellement responsable des cassures bicaténaires transitoires dans l’ADN des ascospores en maturation. En somme, bien que le processus de maturation des spores soit encore bien méconnu, quelques parallèles peuvent être tracés entre la maturation des ascospores de la levure à fission et la spermiogenèse des eucaryotes supérieurs. En identifiant un modèle simple du remodelage chromatinien au niveau de la spermiogenèse animale, on s’assurerait ainsi d’un outil beaucoup plus malléable et versatile pour l’étude fondamentale des événements survenant lors de la spermiogenèse humaine.
Resumo:
A espécie suína (Sus scropha domesticus) possui relevância nos âmbitos da pesquisa, da xenotransplantação e da produção de carnes. O resfriamento de sêmen é capaz de reduzir o metabolismo celular e possibilitar o armazenamento dos gametas, sendo auxiliar durante práticas de reprodução assistida. Contudo, os espermatozoides suínos são sensíveis ao estresse oxidativo gerado durante o processo de resfriamento. O 2,4 dinitrofenol (DNP) poderia gerar o desacoplamento mitocondrial reduzindo o estresse oxidativo e prolongando indiretamente a viabilidade e capacidade fertilizante de espermatozoides suínos resfriados pela diminuição de espécies reativas de oxigênio. O objetivo do presente estudo foi avaliar os efeitos do desacoplamento mitocondrial induzido pelo DNP e os efeitos desse desacoplamento sobre as de fluidez e integridade de membrana plasmática, funcionalidade de mitocôndria, motilidade espermática, além dos parâmetros de estresse oxidativo de lipoperoxidação e produção de espécies reativas de oxigênio, durante o resfriamento a 17 °C de 24 até 96 horas. Utilizou-se 22 ejaculados expostos ao diluente Betsville Thawing Solution (BTS) (controle) e ao mesmo diluente acrescido das concentrações de 0,01 µM (T1); 0,1 µM (T2); 1,0 µM (T3) e 10 µM (T4) de DNP. Através do teste de Shapiro-Wilk as variáveis que não apresentaram normalidade, tiveram suas médias comparadas pelo teste de KruskalWallis. As análises estatísticas demonstraram que o DNP não se diferiu do controle independente do tempo de armazenamento, para nenhuma das variáveis analisadas. Possivelmente, a falta de ação sobre as mitocôndrias, ou seja, a não promoção do desacoplamento mitocondrial foi o motivo principal para a falta dos efeitos do DNP. Acredita-se que a utilização do DNP em temperaturas mais elevadas por estas promoverem aumento da fluidez de membrana e/ou o aumento das concentrações de DNP poderiam gerar efeitos significativos sobre as mitocôndrias e demais variáveis analisadas. Finalmente, o DNP nas concentrações testadas não se diferiu do controle em todas as variáveis analisadas independente do tempo de armazenamento.