Academic literature on the topic 'Carbon allocation'
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Journal articles on the topic "Carbon allocation"
Nehls, Uwe, and Rüdiger Hampp. "Carbon allocation in ectomycorrhizas." Physiological and Molecular Plant Pathology 57, no. 3 (September 2000): 95–100. http://dx.doi.org/10.1006/pmpp.2000.0285.
Full textLi, Yanbin, Zhen Li, Min Wu, Feng Zhang, and Gejirifu De. "Regional-Level Allocation of CO2 Emission Permits in China: Evidence from the Boltzmann Distribution Method." Sustainability 10, no. 8 (July 25, 2018): 2612. http://dx.doi.org/10.3390/su10082612.
Full textOlson, Bret E., and Roseann T. Wallander. "Carbon allocation in Euphorbia esula and neighbours after defoliation." Canadian Journal of Botany 77, no. 11 (January 30, 2000): 1641–47. http://dx.doi.org/10.1139/b99-140.
Full textChen, Liyun, and Zhiwei Li. "Efficiency of Carbon Dioxide (CO2) Emission Control Target Allocations in China." Mathematical Problems in Engineering 2022 (May 5, 2022): 1–6. http://dx.doi.org/10.1155/2022/9605743.
Full textEissenstat, D. M., X. Huang, and A. N. Lakso. "MODELING CARBON ALLOCATION BELOW GROUND." Acta Horticulturae, no. 707 (April 2006): 143–50. http://dx.doi.org/10.17660/actahortic.2006.707.17.
Full textShojaei, Tahereh, and Alireza Mokhtar. "Carbon mitigation by quota allocation." Journal of Environmental Management 304 (February 2022): 114097. http://dx.doi.org/10.1016/j.jenvman.2021.114097.
Full textLITTON, CREIGHTON M., JAMES W. RAICH, and MICHAEL G. RYAN. "Carbon allocation in forest ecosystems." Global Change Biology 13, no. 10 (October 2007): 2089–109. http://dx.doi.org/10.1111/j.1365-2486.2007.01420.x.
Full textMerganičová, Katarína, Ján Merganič, Aleksi Lehtonen, Giorgio Vacchiano, Maša Zorana Ostrogović Sever, Andrey L. D. Augustynczik, Rüdiger Grote, et al. "Forest carbon allocation modelling under climate change." Tree Physiology 39, no. 12 (November 21, 2019): 1937–60. http://dx.doi.org/10.1093/treephys/tpz105.
Full textLee, Jinpyo. "Operational Decision Model with Carbon Cap Allocation and Carbon Trading Price." Journal of Open Innovation: Technology, Market, and Complexity 5, no. 1 (February 20, 2019): 11. http://dx.doi.org/10.3390/joitmc5010011.
Full textTan, Zhong Fu, Tao Lei, Huan Huan Li, Li Wei Ju, and Zhi Hong Chen. "The Impact of Initial Allocation of Carbon Emission Rights on Power Generation Replacement Analysis Model." Applied Mechanics and Materials 496-500 (January 2014): 2760–63. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.2760.
Full textDissertations / Theses on the topic "Carbon allocation"
Farrar, S. C. "Carbon allocation in barley plants." Thesis, Bangor University, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.378352.
Full textBicharanloo, Bahareh. "Belowground carbon allocation interacting with nutrient availability." Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/27287.
Full textMfombep, Priscilla M. "Soil carbon sequestration: factors influencing mechanisms, allocation and vulnerability." Diss., Kansas State University, 2013. http://hdl.handle.net/2097/16981.
Full textDepartment of Agronomy
Charles W. Rice
Increasing atmospheric CO2 concentrations and other greenhouse gases have been linked to global climate change. Soil organic C (SOC) sequestration in both agricultural and native ecosystems is a plausible option to mitigate increasing atmospheric CO2 in the short term. Laboratory and field studies were conducted to (1) understand the influence of soil water content on the temperature response of SOC mineralization (2) investigate burn and nutrient amendment effects on biogeochemical properties of tallgrass prairie and (3) assess perennial and annual plant management practices on biophysical controls on SOC dynamics. The laboratory study was conducted using soils collected from an agricultural field, currently planted to corn (C4 crop), but previously planted to small grain (C3) crops. The changes in cultivated crops resulted in a δ¹³C isotopic signature that was useful in distinguishing older from younger soil derived CO2-C during SOC mineralization. Soils were incubated at 15, 25 and 35 oC, under soil water potentials of -1, -0.03 and -0.01 MPa. Soil water content influenced the effect of temperature on SOC mineralization. The impact of soil water on temperature effect on SOC mineralization was greater under wetter soil conditions. Both young and older SOC were temperature sensitive, but SOC loss depended on the magnitude of temperature change, soil water content and experiment duration. Microbial biomass was reduced with increasing soil water content. The first field experiment investigated burn and nutrient amendment effects on soil OC in a tallgrass prairie ecosystem. The main plots were burned (B) and unburned (UB) tallgrass prairie and split plots were nutrient amendments (N, P or N+P including controls). Vegetation was significantly altered by burning and nutrient amendment. Treatment effects on either TN or SOC were depth-specific with no impact at the cumulative 0-30 cm depth. The P amendment increased microbial biomass at 0-5 cm which was higher in unburned than burned. However, at 5-15 cm depth N amendment increased microbial biomass which was higher in burned than unburned. In conclusion, soil OC in both burned and unburned tallgrass prairie may have a similar trajectory however; the belowground dynamics of the burned and unburned tallgrass prairie are apparently different. Another field experiment assessed SOC dynamics under perennial and annual plant management practices. The main plots were grain sorghum (Sorghum bicolor) planted in no-tillage (NT) or continuous tillage (CT), and replanted native prairie grass, (Andropogon gerardii) (RP). The spit plots were phosphorus (+P) and control without P (-P). The P amendment was used to repress arbuscular mycorrhizal fungi (AMF), known to influence soil aggregation. The macroaggregate >250 µm, SOC and TN were higher in RP and NT than CT. The relative abundances of AMF and saprophytic fungi were greater with less soil disturbance in RP and NT than in CT. Therefore, less soil disturbance in RP and NT increased AMF and fungal biomasses. The higher relative abundances of AMF and fungi with less soil disturbance increased macroaggregate formation in RP and NT, which resulted in higher SOC sequestration in RP and NT than CT.
Zanotelli, Damiano <1982>. "Carbon fluxes and allocation pattern in an apple orchard." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amsdottorato.unibo.it/4889/1/tesi_PhD_completed_DZ_ok2.pdf.
Full textZanotelli, Damiano <1982>. "Carbon fluxes and allocation pattern in an apple orchard." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amsdottorato.unibo.it/4889/.
Full textStreet, Lorna Elizabeth. "Carbon dynamics in Arctic vegetation." Thesis, University of Edinburgh, 2011. http://hdl.handle.net/1842/5651.
Full textWyness, Kirsten Victoria Robyn. "Ozone and nitrogen controls on carbon allocation within plants and soil." Thesis, University of Newcastle upon Tyne, 2012. http://hdl.handle.net/10443/1491.
Full textPalmucci, Matteo. "Relationship between carbon allocation patterns and evolutionary trajectories in marine phytoplankton." Doctoral thesis, Università Politecnica delle Marche, 2012. http://hdl.handle.net/11566/242289.
Full textPhytoplankton in the extant oceans is mainly dominated by microalgae of the red lineage, with chlorophyll a and c, whereas microalgae of the green lineage, with chlorophyll a and b, only contribute to a minor extent. However, the species composition of phytoplankton changed over geological time scale and microalgae of the green lineage dominated the oceans of the Paleozoic Era, whereas from the Mesozoic Era the red lineage rose to dominance and gave origin to the groups of algae that dominate the extant oceans. This shift in dominance of the phytoplankton has been put in relation with the change of ocean chemistry that occurred over a geological time scale. The oceanic concentration of SO42- increased monotonically from the Paleozoic Era (~1-10 mmol L-1 SO42-) to the present (28 mmol L-1 SO42-). Although it is difficult to have detailed information about the abundances of NO3- and PO4- in the oceans of the past, there are evidences that also the N:P ratios changed over geological time scale, and the oceans passed from P- to N-limitation, from the Paleozoic Era to date. Moreover, the change of the redox state of the oceans caused by the accumulation of the O2 released by photosynthesis from the Neo-Proterozoic to the end of the Paleozoic, determined a change in the abundance of some trace metals, such as Fe, Cu, Mn, Mo, Cd and Zn. It has been hypothesized that the link between the change of ocean chemistry and the evolutionary success of the microalgae of the red lineage is the average cell elemental stoichiometry. The microalgae of the red lineage have been reported to have higher requirement for those elements (S, P, Mn) whose availability increased when the oceans became more oxidized; the opposite was observed for microalgae of the green lineage, which have higher requirement for nutrients less abundant in oxidized conditions (N, Fe, Cu, Zn). This would suggest that the algae of the red lineage are better equipped to cope with the chemical conditions of oxygenated oceans. Because organisms of the same evolutionary lineage share elemental stoichiometry and biosynthetic pathways, they should respond similarly to the variation of nutrient availability, allocating C to the same pools. The pattern of C allocation affects the biology of microalgae through the impact that the energy content exerts on cell palatability and through the effect of the overall cell density on sinking rates. Different organic pools to which C is allocated (i.e. proteins, lipids and carbohydrates) are not equivalent in terms of density and energy requirement. Therefore, on a geological time scale, the patterns of C allocation may have had a relevant role on the evolutionary trajectories of phytoplankton. It can be hypothesized that, in the oxygenated and ecologically permissive oceans that emerged from the Permo-Triassic mass extintction, the algae of the red lineage took advantage of patterns of C allocation that decreased their palatability and allowed a better buoyancy control. The aim of this thesis is to evaluate the impact of the variation of macro- and micro-nutrients availability on the evolutionary trajectories of phytoplankton. In order to pursue this aim, I designed four experiments to investigate the potential role of the following: Availability of NO3-; N:P ratio; Availability of SO42-; Availability of Fe, Cu and Mn. The first experiment was conducted on ten different species of microalgae belonging to the green and to the red lineage (Amphidinium klebsii, Chlorella marina, Cyclotella meneghiniana, Dunaliella parva, Dunaliella salina, Phaeodactylum tricornutum, Skeletonema marinoi, Tetraselmis suecica, Thalassiosira pseudonana, Thalassiosira weissflogii) and one cyanobacterium (Synechococcus sp.), whereas, for the other experiments a smaller number of species was selected. In partial disagreement with the hypothesis, the patterns of C allocation and their variation in response to changes in the availability of nutrients (NO3-, SO42- and metals) were different in algae sharing the same evolutionary trajectories. Also organisms belonging to the same genus (i.e. Dunaliella parva and Dunliella salina, Thalassiosira pseudonana and Thalassiosira weissflogii) had different patterns of C allocation in response to different NO3- concentrations. On the other hand, the allocation patterns were strongly affected by the cell size. When biomass was characterized in terms of the overall level of reduction, the hypothesis was verified, since the algae belonging to the two evolutionary lineages were consistently distinct. The species of the red lineage showed a lower level of biomass reduction in conditions mimicking the extant oceans, whereas the opposite was true for algae of the green lineage. The higher level of reduction of the green algae in today’s oceans may also translate to a higher energy content and thus a higher palatability of cells to grazers. This may have played a role in favoring the rise to dominance of the algae of the red lineage. The growth rate of the diatom Thalassiosira pseudonana was saturated at a N:P of 13, whereas, the growth rate of the green alga Dunaliella salina was saturated at a N:P of 76. The diatom did not change the rate of assimilation of NO3- as a function of the N:P ratio. The green alga, instead, showed a greater sensitivity to the availability of NO3- and appreciably changed the rate of NO3-assimilation in response to the N:P ratio. The organic composition of T. pseudonana was unaltered in a range of N:P ratio between 2.6 and 13; above this N:P ratio, the diatom modified its composition and increased the cost of biomass production (both remained constant when the N:P ratio was between 38 and 152). Dunaliella salina changed the pattern of C allocation in each culture condition and tended to decrease the energy content of the cell when cultured at higher N:P ratios. Therefore, the diatom spent less energy to produce its biomass in conditions of N availability mimicking those of extant oceans; the green alga, instead, spent less energy when growth in Paleozoic-like conditions. The availability of SO42- affected the growth rates of the diatoms P. tricornutum and T. pseudonana and of the green alga D. salina: when these species were cultured at a SO42- concentration of 28 mmol L-1 (mimicking that of the extant oceans), their growth rates was higher than when they were cultured at a SO42- concentration of 3 mmol L-1 (mimicking that of the Paleozoic oceans). The growth rates of T. suecica was not affected by the availability of SO42-. In the green algae, The N-use efficiency did not change as a function of SO42- availability, whereas that of the diatoms was higher when SO42- concentration was high (28 mmol L-1). Green algae C productivity was higher at low SO42- (3 mmol L-1), but it was lower a high SO42-. The opposite was true for the two diatoms. In P. tricornutum and T. pseudonana, the rate of protein synthesis normalized on RNA amount was appreciably higher at 28 mmol L-1 SO42- than at 3 and 14 mmol L-1 SO42-. The same was not true for the green algae, for which no significant change of this parameter as a function of SO42- concentrations was detected. The two green algae and the two diatoms used in the previous experiment were also cultured in the presence of different Fe, Cu and Mn concentrations. According to the hypothesis that suggests a higher ability of algae of the red lineage to grow in more oxidized environments, an increased availability of Cu and a decreased availability of Fe and Mn should favor these algae over those of the green lineage. Our results do not appear to fully confirm this hypothesis, as the growth response of the four species to the availability of these metals is not consistently related to the evolutionary lineage. In fact, higher Cu availability stimulates the growth of P. tricornutum and of the two green algae, but not of T. pseudonana; higher Fe availability had no effect on the diatoms, but stimulated growth of D. salina; Mn stimulates diatoms growth, but not that of D. salina and T. suecica. In conclusions, the experiments summarized above show that: The decrease of NO3- availability in the course of Earth history may have favored the algae of the red lineage The observed decline of the N:P ratio in the oceans across the Mesozoic may also have had a positive impact on the rise to dominance of the algae of the red lineage. The secular changes in sulfate are compatible with a role of this nutrient in facilitating the prevalence of the red lineage in modern oceans The change of redox state per se did not impact the evolution of phytoplankton.
Guillemot, Joannès. "Productivity and carbon allocation in European forests : a process-based modelling approach." Thesis, Paris 11, 2015. http://www.theses.fr/2015PA112091/document.
Full textThe processes that underlie forest productivity and C allocation dynamics in trees are still poorly understood. Forest growth has for long been thought to be C limited, through a hypothesized causal link between C supply and growth (source control). This C-centric paradigm underlies most of the C allocation rules formalized in process-based models (PBMs). However, the source limitation of growth has been questioned by several authors, arguing that meristem activities are more sensitive than C assimilation to environmental stresses (e.g., water deficit and low temperatures). Moreover, the effect of management, which strongly affects forest functioning and wood growth, is not accounted for in most of the PBMs used to project the future terrestrial C sink. Our main objective in this thesis was to move forward into our understanding of the constraints that affect - or will affect - the wood productivity in European forests, from present to the end of the 21 st century. We addressed this objective through the improvement of the representation of the forest productivity and C allocation in the CASTANEA PBM, building on a detailed analysis of the key drivers of annual wood productivity in French forests over the last 30 years (the species studied are Fagus sylvatica, Quercus ilex, Quercus petraea, Quercus robur and Picea abies). Our results supported the premise that the annual wood growth of the studied species is under a complex control including both source and sink limitations. The inter-site variability in the fraction of C allocatedto stand wood growth was predominantly driven by an age-related decline. At the tree level, we showed that annual wood growth was well predicted by the individual size. The size-asymmetry of growth, i.e., the advantage of big trees in the competition for resources, increased consistently with the whole stand productivity at both inter-site and inter-annual scales. On the basis of our findings, we developed a new C allocation scheme in the CASTANEA PBM, which integrate a combined source-sink limitation of wood growth. The new calibrated model captured both the inter-annual and inter-site changes in stand wood growth that was observed across national environmental gradients. The model was also successfully evaluated against a meta-analysis of carbohydrate reserve pools in trees and satellite-derived leaf area index estimates. Our results indicated that the representation of the environmental control of sink activity does not affect the qualitative predictions of the future of the European forest productivity previously obtained from source-driven PBMs. However, the current, source-driven generation of PBMs probably underestimates the spatial heterogeneity of the effects of climate change on forest growth that arise from sink limitations.Further, we successfully used our findings regarding the dependences of annual wood growth at tree level (i.e., empirical rules of tree growth competition) to calibrate a module for the simulation of the individual growth of trees in the CASTANEA model. The coupled model was used to assess the potential effects of management on forest functioning and wood growth across France. We identified the areas where management efforts may be concentrated in order to mitigate near-future drought impact on national forest productivity. Around a quarter of the French temperate oak and beech forests are currently in zones of high vulnerability, where management could thus mitigate the influence of climate change on forest yield
Sy, Mikaïlou. "Seed-source variation in carbon allocation and carbon isotope discrimination in juvenile black spruce, Picea mariana (Mill.) B.S.P." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp02/NQ37078.pdf.
Full textBooks on the topic "Carbon allocation"
Russ, Peter. Cost-effective strategies for an optimal intertemporal allocation of carbon dioxide emission reduction measures: Global warming mitigation strategies on a national level for the Federal Republic of Germany. Aachen: Verlag Shaker, 1994.
Find full textGiordano, Peter A. Growth and carbon allocation of red alder seedlings grown over a density gradient. 1989.
Find full textMinistry of Economic Affairs of the Netherlands., ed. Allocation of CO2 emission allowances: Distribution of emission allowances in a European emissions trading scheme. Netherlands: KPMG Sustainability and [Ecofys], 2002.
Find full textMargolis, Hank A. Carbon and nitrogen allocation patterns of 2-0 Douglas-fir seedlings following nitrogen fertilization in the autumn. 1985.
Find full textLipp, Cynthia C. Effect of solution nitrogen and phosphorus on growth, carbon allocation and nitrogen fixation of red alder seedlings. 1987.
Find full textWise, Theresa. Geologic Carbon Dioxide Storage on Federal Lands: Potential and Allocations. Nova Science Publishers, Incorporated, 2015.
Find full textPost, Eric. Time in Ecology. Princeton University Press, 2019. http://dx.doi.org/10.23943/princeton/9780691182353.001.0001.
Full textBook chapters on the topic "Carbon allocation"
Apps, Michael, and John A. Raven. "Carbon Fixation and Allocation." In Carbon Sequestration in the Biosphere, 183–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-79943-3_10.
Full textSchulze, E.-Detlef, and M. Stitt. "Mechanisms and Controls of Carbon Flux: Carbon Fixation and Allocation." In Carbon Sequestration in the Biosphere, 69–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-79943-3_5.
Full textChiariello, Nona R., Harold A. Mooney, and Kimberlyn Williams. "Growth, carbon allocation and cost of plant tissues." In Plant Physiological Ecology, 327–65. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-010-9013-1_15.
Full textMarcelis, L. F. M., and E. Heuvelink. "Concepts of Modelling Carbon Allocation Among Plant Organs." In Functional-Structural Plant Modelling in Crop Production, 103–11. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/1-4020-6034-3_9.
Full textChiariello, Nona R., Harold A. Mooney, and Kimberlyn Williams. "Growth, carbon allocation and cost of plant tissues." In Plant Physiological Ecology, 327–65. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2221-1_15.
Full textKlein, Tamir. "Carbon Allocation Dynamics in Mediterranean Pines Under Stress." In Pines and Their Mixed Forest Ecosystems in the Mediterranean Basin, 117–28. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63625-8_7.
Full textZhang, Yucui, Qiaoli Hu, Dengpan Xiao, Xingran Liu, and Yanjun Shen. "Spatial-Temporal Change of Agricultural Biomass and Carbon Capture Capability in the Mid-South of Hebei Province." In Land Allocation for Biomass Crops, 159–87. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74536-7_9.
Full textCampanello, Paula I., Eric Manzané, Mariana Villagra, Yong-Jiang Zhang, Adela M. Panizza, Débora di Francescantonio, Sabrina A. Rodriguez, Ya-Jun Chen, Louis S. Santiago, and Guillermo Goldstein. "Carbon Allocation and Water Relations of Lianas Versus Trees." In Tree Physiology, 103–24. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27422-5_5.
Full textHe, Rui. "Evaluation of some existing carbon allocation plans and a newly proposed “fairness-based” allocation scheme." In Advances in Civil Engineering and Environmental Engineering, Volume 2, 379–89. London: CRC Press, 2023. http://dx.doi.org/10.1201/9781003383031-56.
Full textDeng, Zhongqi, Ruizhi Pang, and Yu Fan. "Allocation Schemes and Efficiencies of China’s Carbon and Sulfur Emissions." In Energy, Environment and Transitional Green Growth in China, 139–60. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7919-1_6.
Full textConference papers on the topic "Carbon allocation"
Tao Sun, Donghan Feng, Teng Ding, Lixia Chen, and Shi You. "Directed graph based carbon flow tracing for demand side carbon obligation allocation." In 2016 IEEE Power and Energy Society General Meeting (PESGM). IEEE, 2016. http://dx.doi.org/10.1109/pesgm.2016.7741580.
Full textArava, Radhika, Deepak Bagchi, P. Suresh, Y. Narahari, and S. V. Subrahmanya. "Optimal allocation of carbon credits to emitting agents in a carbon economy." In 2010 IEEE International Conference on Automation Science and Engineering (CASE 2010). IEEE, 2010. http://dx.doi.org/10.1109/coase.2010.5584129.
Full textPourakbari-Kasmaei, Mahdi, Jose Roberto Sanches Mantovani, Masoud Rashidinejad, Mohammad Reza Habibi, and Javier Contreras. "Carbon footprint allocation among consumers and transmission losses." In 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE, 2017. http://dx.doi.org/10.1109/eeeic.2017.7977512.
Full textWang, Mingxi, Bianling Ou, Mingrong Wang, and Shouyang Wang. "Efficient Auction Mechanisms for Carbon Emission Rights Allocation." In 2011 Fourth International Conference on Business Intelligence and Financial Engineering (BIFE). IEEE, 2011. http://dx.doi.org/10.1109/bife.2011.55.
Full textYu, Feifei, Fei Teng, Qihe Shan, Tieshan Li, and Yang Xiao. "Continuous Berth Allocation Considering Carbon Emission and Uncertainty." In 2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS). IEEE, 2022. http://dx.doi.org/10.1109/docs55193.2022.9967702.
Full textWei, Liu, and Qiu Yue. "Research on Dynamic Allocation Based on Carbon Management Certification." In 2012 International Conference on Management of e-Commerce and e-Government (ICMeCG). IEEE, 2012. http://dx.doi.org/10.1109/icmecg.2012.100.
Full textSpierre, Susan G., Thomas Seager, and Evan Selinger. "Determining an equitable allocation Of global carbon dioxide emissions." In 2010 IEEE International Symposium on Sustainable Systems and Technology (ISSST). IEEE, 2010. http://dx.doi.org/10.1109/issst.2010.5507704.
Full textYang, Yueyong, Hongliang Wu, Junqi Xie, Weiying Lin, and Tianyao Ji. "Analysis of the Allocation Approaches of Carbon Emission Allowances." In 2021 International Conference on Power System Technology (POWERCON). IEEE, 2021. http://dx.doi.org/10.1109/powercon53785.2021.9697692.
Full textYu, F., and J. Yang. "Loss allocation methods for unbalanced power distribution networks - a review." In 11th International Conference on Renewable Power Generation - Meeting net zero carbon (RPG 2022). Institution of Engineering and Technology, 2022. http://dx.doi.org/10.1049/icp.2022.1701.
Full textZheng, Wei, and Rongda Chen. "The Setting of Initial Allocation Approaches of Carbon Emission Permits." In 2011 Fourth International Conference on Business Intelligence and Financial Engineering (BIFE). IEEE, 2011. http://dx.doi.org/10.1109/bife.2011.140.
Full textReports on the topic "Carbon allocation"
Chapple, Clint. Control of Carbon Allocation in Phenylpropanoid Metabolism. Office of Scientific and Technical Information (OSTI), November 2021. http://dx.doi.org/10.2172/1831767.
Full textKirst, Matias, Gary Peter, and Timothy Martin. Genomics Mechanisms of Carbon Allocation and Partitioning in Poplar. Office of Scientific and Technical Information (OSTI), July 2009. http://dx.doi.org/10.2172/961672.
Full textAmeta, Gaurav, Mahesh Mani, Sudarsan Rachuri, Shaw C. Feng, Ram D. Sriram, and Kevin W. Lyons. Carbon weight analysis for machining operation and allocation for redesign. Gaithersburg, MD: National Institute of Standards and Technology, 2009. http://dx.doi.org/10.6028/nist.ir.7560.
Full textWolf, Shmuel, and William J. Lucas. Involvement of the TMV-MP in the Control of Carbon Metabolism and Partitioning in Transgenic Plants. United States Department of Agriculture, October 1999. http://dx.doi.org/10.32747/1999.7570560.bard.
Full textTopa, M. A., D. A. Weinstein, and W. A. Retzlaff. Assessing the Significance of Above- and Belowground Carbon Allocation of Fast- and Slow-Growing Families of Loblolly Pine - Final Report. Office of Scientific and Technical Information (OSTI), March 2001. http://dx.doi.org/10.2172/783597.
Full textRonald Hendrick, Rodney Will, Robert Teskey, Bruce Borders, Robert Bailey, Timothy Harringnton, and Daniel Markewitz. The effects of fertilization and competition control on carbon and nutrient allocation and physiology in loblolly pine plantation. Quarterly report for the period July - September 1999. Office of Scientific and Technical Information (OSTI), October 1999. http://dx.doi.org/10.2172/763182.
Full textHendrick, Ronald, Rodney Will, Robert Teskey, Bruce Borders, Robert Bailey, Timothy Harrington, and Daniel Markewitz. The effects of fertilization and competition control on carbon and nutrient allocation and physiology in loblolly pine plantation. Quarterly report for the period October - December, 1999. Office of Scientific and Technical Information (OSTI), December 1999. http://dx.doi.org/10.2172/760514.
Full textAlonso-Robisco, Andrés, José Manuel Carbó, and José Manuel Carbó. Machine Learning methods in climate finance: a systematic review. Madrid: Banco de España, February 2023. http://dx.doi.org/10.53479/29594.
Full textSukenik, Assaf, Paul Roessler, and John Ohlrogge. Biochemical and Physiological Regulation of Lipid Synthesis in Unicellular Algae with Special Emphasis on W-3 Very Long Chain Lipids. United States Department of Agriculture, January 1995. http://dx.doi.org/10.32747/1995.7604932.bard.
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