Thesis (M.S.)--University of Hawaii at Manoa, 2006. / Includes bibliographical references (leaves 48-53). / viii, 53 leaves, bound ill. (some col.) 29 cm

Typescript / Bibliography: leaves [137]-[157] / xx, 136 leaves : ill ; 30 cm. / Title page, contents and abstract only. The complete thesis in print form is available from the University Library. / Thesis (Ph.D.)--University of Adelaide, Dept. of Agronomy, Waite Agricultural Research Institute, 1987

Coral reefs are experiencing increasing levels of stress due to climate change, overfishing, coastal development and nutrient runoff from agriculture to name a few. They are however, economically vital ecosystems in terms of both their income generating capacity and as a source of food for millions of people around the world. This predicament emphasises the need for effective ecosystem management to be able to balance the benefits of coral reefs with the inherent stressors associated with people utilising their resources. It is particularly important given the potential large scale impacts associated with climate change such as mass coral bleaching events. Similarly, much of the need for direct management of coral reefs exists in developing countries where the resources, information, and technology are limited or unavailable for such a task. This places them, in particular, at the high end of management uncertainty and impact vulnerability. Accordingly, there is a pronounced need to improve this capacity to understand coral reef ecosystem function and to use this to better predict the overall systems level outcome of management options. This thesis has sought to improve our understanding of key ecological elements of coral reef ecosystems and to build on this new knowledge to produce a widely applicable ecosystem model that will allow managers to better understand and predict the outcomes of their actions. Coral reef ecosystem behaviour is far from understood in its entirety and there are many facets that require detailed further investigations to be able to more confidently predict ecosystem response to any given disturbance. To enhance the current understanding of coral reef ecosystems prior to the model development, investigations were undertaken into the dynamics of nitrogen on a coral reef following bleaching induced coral mortality. The results showed that the rates of nitrogen fixation on surfaces made available due to a coral mortality event increased dramatically in the three months following coral mortality, potentially acting as a driving force for the ecosystem to pass through a phase shift to algal dominance. Application of these nitrogen dynamics to entire coral reef ecosystems required a methodology for scaling these sub coral colony processes to entire reefs. This scaling issue is particularly pertinent given the improved understanding of the overwhelming significance of micro-scale processes to community dynamics. The surface index (SI) concept, relating the two-dimensional projected area to the three-dimensional area of corals was refined and developed for variations of gross coral morphologies. This allowed for the scaling of nitrogen flux estimates to be made over entire reef systems, enabling the incorporation of these fluxes into an ecosystem scale model. One of the key factors associated with the potential for a coral reef to recover from a mass coral mortality event is the potential for new corals to successfully recruit. The process of coral recovery could potentially be enhanced if recruitment is viable in the immediate aftermath of a mortality event. Although investigations in this area were inconclusive, extensive herbivore action on turf assemblages up to eight months old indicated that recruitment may be inhibited through the high palatability of turf assemblages in this age bracket. Integrating these processes with the many other published dynamics of coral reefs allowed for the development of the dynamic systems model. By constraining the model structure to known relationships between the modelling parameters, the model can be calibrated to replicate the dynamics of any coral reef ecosystem. This allows the model to be applied to systems where limited data and/or resources are available, making it widely implementable in developing countries such as the small island states scattered around the tropics. The model is ideally suited to the adaptive management framework whereby managers can continually assess the potential future outcomes of management interventions. In addition, due to the spatially inexplicit and generic nature of the model, it can be easily adapted and integrated into large scale regional modelling frameworks or combined with other modelling packages such as socio-economic or fisheries models to provide enhanced management packages. The culmination of the targeted research and integration of existing knowledge has allowed for the development of an ecosystem model for coral reefs that can be easily adopted by coral reef managers throughout the world. It is however, by no means a definitive coral reef ecosystem model and there are many facets that can and should continue to be refined to enhance the reliability of the model.

Coral reefs are experiencing increasing levels of stress due to climate change, overfishing, coastal development and nutrient runoff from agriculture to name a few. They are however, economically vital ecosystems in terms of both their income generating capacity and as a source of food for millions of people around the world. This predicament emphasises the need for effective ecosystem management to be able to balance the benefits of coral reefs with the inherent stressors associated with people utilising their resources. It is particularly important given the potential large scale impacts associated with climate change such as mass coral bleaching events. Similarly, much of the need for direct management of coral reefs exists in developing countries where the resources, information, and technology are limited or unavailable for such a task. This places them, in particular, at the high end of management uncertainty and impact vulnerability. Accordingly, there is a pronounced need to improve this capacity to understand coral reef ecosystem function and to use this to better predict the overall systems level outcome of management options. This thesis has sought to improve our understanding of key ecological elements of coral reef ecosystems and to build on this new knowledge to produce a widely applicable ecosystem model that will allow managers to better understand and predict the outcomes of their actions. Coral reef ecosystem behaviour is far from understood in its entirety and there are many facets that require detailed further investigations to be able to more confidently predict ecosystem response to any given disturbance. To enhance the current understanding of coral reef ecosystems prior to the model development, investigations were undertaken into the dynamics of nitrogen on a coral reef following bleaching induced coral mortality. The results showed that the rates of nitrogen fixation on surfaces made available due to a coral mortality event increased dramatically in the three months following coral mortality, potentially acting as a driving force for the ecosystem to pass through a phase shift to algal dominance. Application of these nitrogen dynamics to entire coral reef ecosystems required a methodology for scaling these sub coral colony processes to entire reefs. This scaling issue is particularly pertinent given the improved understanding of the overwhelming significance of micro-scale processes to community dynamics. The surface index (SI) concept, relating the two-dimensional projected area to the three-dimensional area of corals was refined and developed for variations of gross coral morphologies. This allowed for the scaling of nitrogen flux estimates to be made over entire reef systems, enabling the incorporation of these fluxes into an ecosystem scale model. One of the key factors associated with the potential for a coral reef to recover from a mass coral mortality event is the potential for new corals to successfully recruit. The process of coral recovery could potentially be enhanced if recruitment is viable in the immediate aftermath of a mortality event. Although investigations in this area were inconclusive, extensive herbivore action on turf assemblages up to eight months old indicated that recruitment may be inhibited through the high palatability of turf assemblages in this age bracket. Integrating these processes with the many other published dynamics of coral reefs allowed for the development of the dynamic systems model. By constraining the model structure to known relationships between the modelling parameters, the model can be calibrated to replicate the dynamics of any coral reef ecosystem. This allows the model to be applied to systems where limited data and/or resources are available, making it widely implementable in developing countries such as the small island states scattered around the tropics. The model is ideally suited to the adaptive management framework whereby managers can continually assess the potential future outcomes of management interventions. In addition, due to the spatially inexplicit and generic nature of the model, it can be easily adapted and integrated into large scale regional modelling frameworks or combined with other modelling packages such as socio-economic or fisheries models to provide enhanced management packages. The culmination of the targeted research and integration of existing knowledge has allowed for the development of an ecosystem model for coral reefs that can be easily adopted by coral reef managers throughout the world. It is however, by no means a definitive coral reef ecosystem model and there are many facets that can and should continue to be refined to enhance the reliability of the model.

Coral reefs are experiencing increasing levels of stress due to climate change, overfishing, coastal development and nutrient runoff from agriculture to name a few. They are however, economically vital ecosystems in terms of both their income generating capacity and as a source of food for millions of people around the world. This predicament emphasises the need for effective ecosystem management to be able to balance the benefits of coral reefs with the inherent stressors associated with people utilising their resources. It is particularly important given the potential large scale impacts associated with climate change such as mass coral bleaching events. Similarly, much of the need for direct management of coral reefs exists in developing countries where the resources, information, and technology are limited or unavailable for such a task. This places them, in particular, at the high end of management uncertainty and impact vulnerability. Accordingly, there is a pronounced need to improve this capacity to understand coral reef ecosystem function and to use this to better predict the overall systems level outcome of management options. This thesis has sought to improve our understanding of key ecological elements of coral reef ecosystems and to build on this new knowledge to produce a widely applicable ecosystem model that will allow managers to better understand and predict the outcomes of their actions. Coral reef ecosystem behaviour is far from understood in its entirety and there are many facets that require detailed further investigations to be able to more confidently predict ecosystem response to any given disturbance. To enhance the current understanding of coral reef ecosystems prior to the model development, investigations were undertaken into the dynamics of nitrogen on a coral reef following bleaching induced coral mortality. The results showed that the rates of nitrogen fixation on surfaces made available due to a coral mortality event increased dramatically in the three months following coral mortality, potentially acting as a driving force for the ecosystem to pass through a phase shift to algal dominance. Application of these nitrogen dynamics to entire coral reef ecosystems required a methodology for scaling these sub coral colony processes to entire reefs. This scaling issue is particularly pertinent given the improved understanding of the overwhelming significance of micro-scale processes to community dynamics. The surface index (SI) concept, relating the two-dimensional projected area to the three-dimensional area of corals was refined and developed for variations of gross coral morphologies. This allowed for the scaling of nitrogen flux estimates to be made over entire reef systems, enabling the incorporation of these fluxes into an ecosystem scale model. One of the key factors associated with the potential for a coral reef to recover from a mass coral mortality event is the potential for new corals to successfully recruit. The process of coral recovery could potentially be enhanced if recruitment is viable in the immediate aftermath of a mortality event. Although investigations in this area were inconclusive, extensive herbivore action on turf assemblages up to eight months old indicated that recruitment may be inhibited through the high palatability of turf assemblages in this age bracket. Integrating these processes with the many other published dynamics of coral reefs allowed for the development of the dynamic systems model. By constraining the model structure to known relationships between the modelling parameters, the model can be calibrated to replicate the dynamics of any coral reef ecosystem. This allows the model to be applied to systems where limited data and/or resources are available, making it widely implementable in developing countries such as the small island states scattered around the tropics. The model is ideally suited to the adaptive management framework whereby managers can continually assess the potential future outcomes of management interventions. In addition, due to the spatially inexplicit and generic nature of the model, it can be easily adapted and integrated into large scale regional modelling frameworks or combined with other modelling packages such as socio-economic or fisheries models to provide enhanced management packages. The culmination of the targeted research and integration of existing knowledge has allowed for the development of an ecosystem model for coral reefs that can be easily adopted by coral reef managers throughout the world. It is however, by no means a definitive coral reef ecosystem model and there are many facets that can and should continue to be refined to enhance the reliability of the model.

[Truncated abstract] Nitrogen fixation is a feature of the symbiotic association between legumes and rhizobia, which occurs within the symbiosomes of root nodules and involves the conversion of atmospheric N2 to ammonia to be used by the plant in exchange for carbon compounds. Exchange of other nutrients is controlled by plant-synthesised proteins on the symbiosome membrane. Iron is a component of symbiotically important proteins, so is essential for nitrogen fixation. Low soil iron leads to decreased plant yields, whilst in other environments plants may accumulate iron to toxic levels. Knowledge of iron acquisition, transport and storage mechanisms is important to elucidate the role of iron transporters in the maintenance of iron homeostasis in the plant. This study provides evidence that iron has a profound effect in the Bradyrhizobium japonicum-Glycine max symbiosis on the development of the nodule, and on the development of the symbiotic soybean plant itself. cDNAs encoding four putative iron transporters in soybean; GmDmt1, GmYSL1, GmCCC1;1 and GmCCC1;2, were identified, isolated and characterised in this study. GmDmt1 is localised to the symbiosome membrane. Expression of GmDmt1 occurs in nodules, roots and leaves and increases in response to iron starvation. GmDmt1 rescues growth and enhances 55Fe(II) uptake in the iron transport deficient yeast strain fet3fet4, with uptake following Michaelis-Menten kinetics, resembling the situation in isolated symbiosomes. Competition experiments using fet3fet4 indicated that GmDmt1 is able to transport other divalent cations, including zinc, copper and manganese, and is also able to complement a zinc transport deficient yeast mutant. ... These results suggest the divalent metal transporter GmDmt1, the putative iron chelate transporter GmYSL1 and the putative vacuolar iron transporters GmCCC1;1 and GmCCC1;2 act together to maintain iron homeostasis in symbiotic soybeans. The possible interactions and regulation of these proteins and their roles in the acquisition, transport and utilisation of iron in symbiotic soybeans are discussed.

Diss. (sammanfattning). Umeå : Sveriges lantbruksuniv. / Härtill 4 uppsatser.

Diss. (sammanfattning). Umeå : Sveriges lantbruksuniv. / Härtill 3 uppsatser.

The Western Tropical North Atlantic (WTNA) was once thought to be a net source of carbon dioxide (CO₂) to the atmosphere, but recent studies have shown that this Amazon River influenced region may actually act as a net sink for CO₂. During a 2010 research cruise to the WTNA, we characterized the impact of the Amazon River on offshore diazotrophy (N₂-fixation) and the resulting stimulation of biological carbon export from surface waters. Through the delivery of phosphate- and silicate-replete waters to the nitrogen (N) limited surface waters of the WTNA, the aging Amazon River plume promotes the growth of diatom-diazotoph associations (DDAs). Regions supporting large DDA blooms were associated with increased pCO₂ and DIC drawdown in the surface waters, reflecting the net export of carbon from the mixed layer. The existence of this biologically mediated linkage between the C and N cycles in productive surface waters is well known, but we have only recently discovered a stimulatory relationship in deep waters between oil/gas release and N₂-fixation. This association was first observed after the Deepwater Horizon oil spill in 2010 and we again saw evidence for it in the days following the Hercules 265 natural gas blowout. This blowout event was characterized by the release of an unknown quantity of natural gas into the shelf waters of the Northern Gulf of Mexico, but we detected a response from the marine microbial community within days. We observed a significant drawdown of dissolved oxygen and found biogeochemical evidence for the incorporation of methane-carbon into the food web, along with a modest stimulation of N₂-fixation. The episodic nature of anthropogenic blowouts makes them difficult to study, so we use cold seeps in the Gulf of Mexico as natural analogues. Interestingly, we have measured both methane oxidation and N₂-fixation at depth above some of the more active seeps. Using NanoSIMS analyses, we have taken the first steps towards physically characterizing the organisms utilizing these metabolisms. It appears that different organisms are carrying out these processes, with CH₄-assimilation occurring primarily in individual particles or small aggregates, whereas N₂-fixtion was associated with larger, sulfur-containing aggregates. Continued NanoSIMS work in combination with the use of microbial ID techniques will help to further characterize these unique deepwater diazotrophs.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / The soybean (Glycine max) cultivation in rotation with rice (Oryza sativa) in paddy soils is a growing practice in the state of Rio Grande do Sul. However, there is little information on the emission of methane (CH4) and nitrous oxide (N2O) during soybean growing season in lowland and the contribution of biological nitrogen fixation (BNF) for crops in this environment. The study was aimed to evaluate the emissions of CH4 and N2O, BNF and soybean productivity in lowland managed for three years with different systems of soil tillage/straw after the rice harvest. The experiment was conducted during the growing season of 2012/2013 on a Plano soil. The treatments consisted of different systems of soil management/straw applied for three years after the rice harvest: ryegrass (RY), disc harrow (DH), knife-roller (KR), fallow + disc harrow (F + DH), disc harrow + disc harrow (DH + DH), knife-roller + disc harrow (KR + DH), removal of straw (RS) and fallow (F). Besides these, a natural lowland (NL) was used as control. The NL had the lowest N2O emissions; however CH4-C (161 kg ha-1) emissions were higher when compared to soybean cultivated in lowland. The highest N2O emissions occurred from soybean cultivation, being observed in the treatment RY where the highest cumulative emission was 7.9 kg N2O-N ha-1. The management of soil/straw performed with DH, compared to systems with KR and F, caused increased density by up to 10% and reduction in macro-porosity and total porosity in the topsoil. Changes in soil physical properties caused by different soil/straw tillage systems did not result in a decreased N accumulation, BNF contribution (mean 67%) and productivity of soybean. / O cultivo da soja (Glycine Max) em rotação com o arroz (Oryza sativa) em solos de várzea é uma prática crescente no estado do Rio Grande do Sul (RS). No entanto, existem poucas informações sobre a emissão de metano (CH4) e óxido nitroso (N2O) durante o cultivo da soja em várzea e a contribuição da fixação biológica (FBN) para a cultura nesse ambiente. O estudo teve por objetivo avaliar as emissões de CH4 e N2O, a FBN e a produtividade da soja em várzea manejada durante três anos com diferentes sistemas de manejo do solo/palha após a colheita do arroz. O experimento foi conduzido no ano agrícola 2012/2013 em um Planossolo Hidromórfico Eutrófico arênico. Os tratamentos foram compostos por diferentes sistemas de manejo do solo/palha aplicados durante três anos após a colheita do arroz: azevém (AZ), grade (G), rolo-faca (RF), pousio + grade (P+G), grade + grade (G+G), rolo-faca + grade (RF+G), retirada da palha (RP) e pousio (P). Além desses, foi avaliada uma área natural de banhado (AN) que serviu como testemunha. A AN apresentou as menores emissões de N2O, porém elevada emissão de C-CH4 (161 kg ha-1) quando comparada ao cultivo da soja em várzea. As maiores emissões de N2O ocorreram no período de cultivo da soja, sendo observada no tratamento AZ a maior emissão acumulada desse gás (7,9 kg de N-N2O ha-1). O manejo do solo/palha realizado com G, comparado aos sistemas com RF e P, provocam aumento da densidade em até 10% e redução na macroporosidade e porosidade total na camada superficial do solo. As modificações causadas nos atributos físicos do solo pelos diferentes sistemas de manejo do solo/palha, não resultaram em diminuição no acúmulo de N, contribuição da FBN (média de 67%) e produtividade de grãos de soja.