Mathematical modeling for improved greenhouse gas balances, agro-ecosystems, and policy development: Lessons from the Australian experience

If the land sector is to make significant contributions to mitigating anthropogenic greenhouse gas (GHG) emissions in coming decades, it must do so while concurrently expanding production of food and fiber. In our view, mathematical modeling will be required to provide scientific guidance to meet this challenge. In order to be useful in GHG mitigation policy measures, models must simultaneously meet scientific, software engineering, and human capacity requirements. They can be used to understand GHG fluxes, to evaluate proposed GHG mitigation actions, and to predict and monitor the effects of specific actions; the latter applications require a change in mindset that has parallels with the shift from research modeling to decision support. We compare and contrast 6 agro-ecosystem models (FullCAM, DayCent, DNDC, APSIM, WNMM, and AgMod), chosen because they are used in Australian agriculture and forestry. Underlying structural similarities in the representations of carbon flows though plants and soils in these models are complemented by a diverse range of emphases and approaches to the subprocesses within the agro-ecosystem. None of these agro-ecosystem models handles all land sector GHG fluxes, and considerable model-based uncertainty exists for soil C fluxes and enteric methane emissions. The models also show diverse approaches to the initialisation of model simulations, software implementation, distribution, licensing, and software quality assurance; each of these will differentially affect their usefulness for policy-driven GHG mitigation prediction and monitoring. Specific requirements imposed on the use of models by Australian mitigation policy settings are discussed, and areas for further scientific development of agro-ecosystem models for use in GHG mitigation policy are proposed.

Obezpechennostʻ zhivym inventarem, obsluzhivaemykh "Agro-dzhoǐntom" pereselent︠s︡ev Krivorogskogo raǐona, osevshikh na zemli︠u︡ v raznye sroki po dannym na 1oe i︠u︡li︠a︡ 1926 goda

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Obezpechennostʻ srednego pereselencheskogo khozi︠a︡ǐstva Krivorogskogo okruga raǐona dei︠a︡telʻnosti "Agro-dzhoǐnta" po vremeni poselenii︠a︡

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Professionalʻnyǐ sostav obsluzhivaemykh "Agro-dzoǐntom" pereselent︠s︡ev Krivorogskogo raǐona

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Proekt tipovogo samannogo doma pod gontovoǐ krysheǐ dli︠a︡ evreǐskikh pereselent︠s︡ev obsluzhzhivaemykh "Agro-dzhoǐntom"

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Karta Evreĭskikh koloniĭ v Krymu obsluzhivaemykh Agro-Dzhoĭntom

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Proekt tipovogo samannogo doma pod cherepichnoĭ krysheĭ dli︠a︡ evreĭskikh pereselent︠s︡ev obsluzhivaemykh Agro-Dzhoĭntom

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Proekt syrovarni dli︠a︡ pereselencheskikh uchastkov obsluzhivaemykh Agro-dzhoĭntom

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Barriers to plantation activities in different agro-ecological zones of Southern India

This paper analyses environmental and socio-economic barriers for plantation activities on local and regional level and investigates the potential for carbon finance to stimulate the increased rates of forest plantation on wasteland, i.e., degraded lands, in southern India. Building on multidisciplinary field work and results from the model GCOMAP, the aim is to (1) identify and characterize the barriers to plantation activities in four agro-ecological zones in the state of Karnataka and (2) investigate what would be required to overcome these barriers and enhance the plantation rate and productivity. The results show that a rehabilitation of the wasteland based on plantation activities is not only possible but also anticipated by the local population and would lead to positive environmental and socio-economic effects at a local level. However, in many cases, the establishment of plantation activities is hindered by a lack of financial resources, low land productivity and water scarcity. Based on the model used and the results from the field work, it can be concluded that certified emission reductions such as carbon credits or other compensatory systems may help to overcome the financial barrier; however, the price needs to be significantly increased if these measures are to have any large-scale impact.

Tar characterisation in new generation agro-residue gasifiers - Cyclone and downdraft open top twin air entry systems

This paper deals with the characterisation of tar from two configurations of bioresidue thermochemical conversion reactors designed for producer gas based power generation systems. The pulverised fuel reactor is a cyclone system (R1) and the solid bioresidue reactor (denoted R2) is an open top twin air entry system both at 75-90 kg/h capacity (to generate electricity similar to 100 kVA). The reactor, R2, has undergone rigorous test in a major Indo-Swiss programme for the tar quantity at various conditions. The former is a recent technology development. Tars collected from these systems by a standard tar collection apparatus at the laboratory at Indian Institute of Science have been analysed at the Royal Institute of Technology (KTH), Sweden. The results of these analyses show that these thermochemical conversion reactors behave differently from the earlier reactors reported in literature in so far as tar generation is concerned. The extent of tar in hot gas is about 700-800 ppm for R1 and 70-100 ppm for R2. The amounts of the major compounds - naphthalene and phenol-are much lower that what is generally understood to happen in the gasifiers in Europe. It is suggested that the longer residence times at high temperatures allowed for in these reactors is responsible for this behavior. It is concluded the new generation reactor concepts extensively tried out at lower power levels hold promise for high power atmospheric gasification systems for woody as well as pulverisable bioresidues.

Cultivation of Pleurotus spp. on a combination of anaerobically digested plant material and various agro-residues

Two species of Pleurotus, Pleurotus florida and Pleurotus flabellatus were cultivated on two agro-residues (paddy straw; PS and coir pith; CP) singly as well as in combination with biogas digester residue (BDR, main feed leaf biomass). The biological efficiency, nutritional value, composition and nutrient balance (C, N and P) achieved with these substrates were studied. The most suitable substrate that produced higher yields and biological efficiency was PS mixed with BDR followed by coir pith with BDR. Addition of BDR with agro-residues could increase mushroom yield by 20-30%. The biological efficiency achieved was high for PS + BDR (231.93% for P. florida and 209.92% for P. flabellatus) and for CP + BDR (14831% for P. florida and 188.46% for P. flabellatus). The OC (organic carbon), TKN (nitrogen) and TP (phosphate) removal of the Pleurotus spp. under investigation suggests that PS with BDR is the best substrate for growing mushroom. (C) 2015 Published by Elsevier Inc. on behalf of International Energy Initiative.

Comportamiento agro-industrial de catorce variedades de caña de azúcar (Saccharum sp hibrido L.) en comparación con las variedades Ja 60-5 y C 87-51

El presente trabajo se llevó a cabo en el ciclo 92-93 en el Ingenio Victoria de Julio, donde se evaluaron 14 variedades de caña de azúcar en comparación con las variedades Ja 60 - 5 y C 87 - 51 para determinar el comportamiento agro-industrial de estos cultivares y seleccionar los genotipos más sobresalientes. El experimento fue establecido el 25 de enero de 1992, en un suelo arcilloso de la serie Chilamatillo, la cosecha se realizó a los 11 meses de edad del cultivo, el 16 de Dic 1992. El diseño utilizado fue de bloques completos al azar con 5 repeticiones, las variables estudiadas fueron: Germinación, población, altura de tallos, floración, diámetro de tallos, peso promedio de los tallos, rendimiento agrícola, rendimiento industrial y rendimiento agro-industrial. Los datos fueron sometidos a un análisis de varianza y prueba de tukey al 5% de margen de error. Los resultados obtenidos fueron los siguientes: Germinación; siendo las mejores RB 73-1012, CP 70-321 y Q 96. Población;las mejores numéricamente resultaron Méx 68-P 23,SP 70-1284 y SP 72-4790. Longitud de tallo; las mejores variedades fueron la SP 72-4790, Q 96, RB 73-1012 y RB 73-5220. Diámetro de los tallos; obtuvo el mejor resultado la variedad Méx 69-420 y en segundo lugar la Ja 60-5. Peso promedio de 100 tallos. ; presentando el mejor resultado el cultivar Méx 69-420 seguido de la RB 73-5220. Floración; todas las variedades florecieron a excepción del testigo C 87-51. Rendimiento agrícola; obtuvo el mejor resultado la variedad Méx 68-P 23 ocupando el segundo lugar SP 72-4790; Rendimiento industrial; entre las variedades sobresalieron numéricamente la Q 96 seguido de la C 87-51 y la CP 72-1210. Rendimiento Agro-Industrial; de acuerdo a los resultados de rangos múltiples la variedad Q 96 presenta un rendimiento estadísticamente superior a la variedad testigo Ja 60-5, superando numéricamente al resto de variedades. Las variedades que presentaron afectaciones por enfermedades fueron : RB 76-5288, SP 70-1284, SP 72-4790, CP 72-1210, SP 71-61801 CP 72-2086, Méx 69-420, Méx 68-P23, Ja 60-5 y e 87-51.

Evaluación agro-industrial de veinticinco variedades de caña de azúcar (Saccharum sp. hibrido), en comparación con la variedad L 68-90, en planta y retoño 1

El presente estudio corresponde a la evaluación de dos años de producción (90-91;91-92), de 25 variedades de caña de azúcar en comparación con la variedad L 68-90, establecido en el ingenio " Julio Buitrago Urroz ", para determinar su comportamiento agro­ industrial y seleccionar las mejores variedades para una segunda fase de selección. El ensayo se sembró 24 de marzo de 1990, la cosecha de planta se realizó el 21 de marzo de 1991, y el retoño 1 se cosecho el 21 de febrero de 1992. El diseño utilizado fue el de látice triple (5 x 5) parcialmente equilibrado y los parámetros estudiados fueron: Germinación, Población, Altura, Diámetro de los tallos, Peso promedio de los tallos, Rendimiento agrícola, Rendimiento industrial, y Rendimiento agro-industrial. Cada una de las variables fueron evaluadas mediante un análisis de varianza y a la prueba de rango múltiple de Duncan a un 5% de significación. Los resultados obtenidos fueron los siguientes: Germinación; Se obtuvieron diferencias altamente significativas, las mejores variedades son: Cp 70-321, Cp 70-1527, RB 73-9735, Mex 68-P23, RB 73-1012, Mex 53-473. Población; Se presentaron diferencias altamente significativas, resultando los mejores genotipos: Rb 73-2727, Cp 70-321, Sp 70-1423. Altura; Se determinó una alta diferencia significativa entre los cultivares destacándose: Sp 72-4790, RB 76-5288, RB 73-429. Diámetro de tallo; Se obtuvo una alta diferencia significativa siendo las mejores: RB 73-2223, Mex 56-476, Mex 69-420, RB 73-9735, Mex 53- 473, RB 73-9953, Cp 74-383. Peso promedio de los tallos; Se observó una alta diferencia significativa resultando los mejores genotipos: Mex 56-476, RB 73-2223, Mex 69-420, RB 73-429, Q 96, Mex 68-P23, RB 76-5288, RB 73-9735. Rendimiento agrícola; Estadísticamente se determinó una alta diferencia significativa, las variedades que superan al testigo son: Sp 72-4790, Sp 70- 1284, RB 73-9735. Rendimiento industrial; Se obtuvo diferencia significativa, siendo el mejor genotipo: La Q-96. Rendimiento agro-industrial; No se observaron diferencias significativas entre los cultivares en estudio, de acuerdo a la separación de medias las variedades más destacadas fueron: Sp 72-4790, RB 73- 5220. Respecto a las observaciones fitosanitarias la única variedad que no presento síntomas de las enfermedades señaladas en este estudio es: Sp 72-4790, las variedades más afectadas por el carbón son: RB 74-5672, Cp 72-1210, Cp 70-1527, RB 76-5288, RB 77-320, RB 73-1012, RB 73-9735, L 68-90.