康集生态农场能流结构及生态效率分析

本文详细分析了康集生态农场建设初期的能流结构及生态效率。结果表明，经过５年的开发，康集生态农场已初步建成具有较复杂的网络式能流系统。系统的能量利用与转化效率逐年提高，其中种植业和家畜家禽饲养业的能量利用率较高，而养鱼业的能量转化率低，在能量利用上潜力极大。第二性生产的绝大部分人工辅助能依靠系统外输入。据此提出了提高康集生态农场能量利用效率的调控措施。     

康集生态农场能流结构及生态效率分析

本文详细分析了康集生态农场建设初期的能流结构及生态效率。结果表明，经过５年的开发，康集生态农场已初步建成具有较复杂的网络式能流系统。系统的能量利用与转化效率逐年提高，其中种植业和家畜家禽饲养业的能量利用率较高，而养鱼业的能量转化率低，在能量利用上潜力极大。第二性生产的绝大部分人工辅助能依靠系统外输入。据此提出了提高康集生态农场能量利用效率的调控措施。     

留民营生态农业系统中人工辅助能产投比的计算、分析与研究

人工辅助能产投比从整体上反映了一个系统的功能，是衡量生态系统建设成效最重要的指标之一，本文对留民营生态农业系统中人工辅助能的产投比进行了连续3年的测定、计算，结果表明1983年的产投比为1.33,1984年为1.0,1985年为1.20，充分显示了生态农业在能量利用方面的优越性，反映了系统在生物能利用和综合利用方面所取得的积极成果。     

论农业生态系统的几个显著特点

农业生态系统是为了满足人类对各种农产品的需要而在天然生态系统的基础上建立起来的一类人工生态系统。为使系统在良性循环的基础上为人类提供更多更好的农产品,有必要去分析和掌握它的特殊性。农业生态系统有四个突出特点,显然有别于一般天然生态系统,这就是:输入输出量加大,大量的辅助能量输入,食物链趋于短缩,残遗物利用链趋于加长。     

农业生态系统能流分析中几个问题的探讨

本文就目前广泛应用的农业生态系统能流分析方法及有关概念作了分析，提出了辅助能替代率的概念。建议用辅助能替代率代替能量产投比对农业生态系统进行能流分析。文中还讨论了工业辅助能的计算及其在不同系统间或同一系统不同时段的可比性。     

农户生态系统的生态结构评价

在调查研究不同类型的农户生态系统的基础上,本文采用优势度和稳定指数两个指标对四种不同类型的农户生态系统结构进行定量评价,并分析比较四类农户生态系统的能量产投比和经济效益。结果表明,这两个指标能定量地衡量各种类型农户生态系统的均衡性和稳定性,可以对农户生态系统结构优劣进行评价。     

留民营生态农业系统中人工辅助能产投比的计算、分析与研究

人工辅助能产投比从整体上反映了一个系统的功能,是衡量生态系统建设成效最重要的指标之一。本文对留民营生态农业系统中人工辅助能的产投比进行了连续3年的测定、计算。结果表明1983年的产投比为1.33,1984年为1.0,1995年为1.20。充分显示了生态农业在能量利用方面的优越性,反映了系统在生物能利用和综合利用方面所取得的积极成果。     

一个联合体生态农业的初步分析

本文以一个联合体作为一个人工生态系统,对该系统的结构、功能和效益等几方面从量的角度加以分析研究。能流分析和养分循环概算表明,该系统加工业的发展促进了畜牧业和粮食生产的发展,土壤肥力持续提高。系统输入以有机能为主,辅以无机能。系统的经济、社会和生态三效益得到统一,是一个具有特色的成功的开放的人工生态系统。     

思茅市三家村农户庭园系统的能流和经济流研究

通过对三家村 6种农户庭园模式进行能流和经济流的系统研究 ,得出三家村 6种农户庭园系统的能量投入为 (98.4 8～ 174 .4 5 )× 10 10 J·hm-2 ,能量产出为 (10 1.6 6～ 15 8.5 2 )× 10 10 J·hm-2 ,能量产投比为(0 .88～ 1.4 1)∶1,并且以种植业为主的农户庭园 (模式Ⅰ、Ⅱ )的能量产投比高于以养殖业和副业为主的农户庭园系统 (模式Ⅵ、Ⅶ、Ⅸ ) ;三家村 6种农户庭园模式的经济产投比为 (1.0 0～ 1.35 )∶1,其高低次序是Ⅵ >Ⅶ >Ⅰ >Ⅱ >Ⅴ >Ⅸ ,6种农户庭园模式的经济产出为 2 32 7.9～ 980 3.4元。因此 ,三家村农户庭园系统是一个能量和经济的高投入高产出的人工生态系统     

三水市农业生态系统经济能值投入产出分析

进行生态学与经济学系统分析方法的交叉探索,将能值这一全新的生态经济度量尺度引入经济学投入产出分析表,对广东省珠江三角洲三水市农业生态系统经济能值的直接消耗系统和完全消耗系统分析,弥补经济学分析中自然环境投入价值缺失的同时,为复合系统能值分析中各系统间互作分析的量化评价探索了新的途径。分析结果表明:三水市农业生态系统中种植业、渔业、畜牧业和林业之间存在经济能值的依存关系,有着直接的相互作用。种植业、渔业和畜牧业子系统间的经济能值交流网络较为发达。在种植业、渔业、畜牧业和林业中,渔业对种植业的完全消耗系数最大,达到3.461×10-2,畜牧业对种植业的完全消耗系数也最大,达到了8.423×10-2;种植业对渔业的完全消耗系数最大,达到了7.685×10-2。林业与种植业、渔业、畜牧业互相的完全消耗系数都比较小,林业和其它三个子系统的经济能值交流较弱。种植业子系统是整个三水市农业生态系统的基础,渔业和畜牧业在种植业的基础上发展,对物质和能量的再利用起了重要作用。林业子系统是三水市农业生态系统内部物质能量交流网络的薄弱环节。三水市农业生态系统的内部结构有待进一步调整,以加强各子系统间的互作,提高物质与能量的使用效率。     

川中浅丘农区坡地林农复合系统能量流的研究

对川中浅丘农区坡地林农复合系统和纯农地系统的能量流动过程进行了对比研究。结果表明，林农复合系统比对照农地系统具有更高的能量积累速率、光能利用率和辅助能转化率。     

Phosphorus flow analysis of the socioeconomic ecosystem of Shucheng County, China

Human activities disturb the long-term phosphorus (P) cycle in nature, whereby the resulting intensive release of P contributes to the eutrophication of surface water. Hence, a detailed understanding of P flow as it relates to socioeconomic systems is essential for effective nutrient management. This study develops a substance-flow-analysis model for P metabolism for the socioeconomic ecosystem of Shucheng County in Anhui Province in central China as a case study. We estimate P flow using data from questionnaires, face-to-face interviews, published literature, and official statistical databases. Our results show that P flow in Shucheng's current socioeconomic system is linear and openly metabolic. The total P input into Shucheng in 2008 reached 12 748 Mg, mainly as P ores and crops. In all, 43.83% of the total P input was exported, and 30.44% was discharged into surface water. More-balanced nutrient management and options for improving nutrient use efficiency are discussed. The quantifiable, science-based methods used in this study may be applied to neighboring regions of central China for sustainable development and water management.     

小城镇复合生态系统能值整合研究

运用能值理论和方法,以湖北省小城镇(大悟县)为案例,对其复合生态系统进行研究,以了解系统的能流结构和特点,为系统持续发展提供科学指导。研究结果表明,该系统能值自给率68.42%,对外界依赖性低,经济安全性高;但人均能值用量和能值密度较低,系统经济不发达。不可更新资源占能值总用量63.51%,属于资源消耗型的经济模式,环境压力较大,不利于区域可持续发展,今后应增加可更新资源的利用,提高不可更新资源的利用效率,增加科技投入,促进该区域可持续发展。     

能量生态学在农业生态系统研究中的应用──胜利油田生态农场能量流分析

本文以能量生态学原理为指导，应用投入产出法对胜利油田生态农场系统内能量流动及能量利用效率进行了计算分析，从中发现了系统生产的薄弱环节和在能量利用方面的问题，并提出了调整系统内部产业结构和能量投入结构的措施，为今后系统生产力及能量转化效率的提高，提供了科学依据。     

陕西省淳化县农户生活垃圾处理方案的比选与分析

通过问卷调查和现场勘查对陕西省淳化县农村生活垃圾污染及处理现状进行分析,采用层次分析法对户用沼气池、户用堆肥池和小型焚烧炉3种主要处理方案进行经济效益、能源效益和资源环境效益的综合评价,结果表明户用沼气池的综合效益最高.选用成本效益分析、财务现金流分析和敏感度分析方法着重对户用沼气池推广的优势因素和限制因素进一步分析,结果表明,当农户有足够的资金、土地资本和垃圾产量时,应采用沼气池,同时应重视对沼气建设技术人员和维护管理沼气池农户的技术培训,以求保证建池质量;当农户资金、土地资本和垃圾产量有限时,也可以采用户用堆肥池,同时要注意堆肥池规格的设计,以求达到最高的综合效益.     

Nitrogen budget and its environmental loading in an urban ecosystem with the rapid urbanisation of China

A detailed nitrogen (N) budget has been developed for an urban ecosystem based on the method of material flow analysis. How increased human activity and urbanisation influences N cycling have also been analysed. Total N input and output in the urban ecosystem of Zhengzhou City (ZUE) was calculated at 304.8?Gg was 275.3?Gg year^?1, resulting in an N accumulation of 29.5?Gg year^?1. Industry and human life activities, which respectively accounted for 43.8% and 34.2% of total N inputs and 52.6% and 29.1% of total N outputs, were the core of N flow in the urban ecosystem. Humans activities mediated more than 98% N inputs into the ZUE, 73.2% of N was released into the atmosphere and 11.7% into hydrosphere. This very large volume of released N could contribute to regional problems. High energy consumption, insufficient wastewater treatment facility practices, and low N use efficiency are the primary causes of pollution. The major challenge ahead for the urban ecosystem is how to manage high-intensity N pollutant inputs to the urban ecosystems coupled with incomplete N cycling and removal. Based on the analysis of the N budget and loading, this study also proposes an N management strategy for the ZUE.     

山一村山地生态系统结构功能和系统调控

本文对山－村山地生态系统的结构和功能、能量产投比、生物量等进行实地调查和研究。结果表明，通过多年生态建设，山地生态系统已显示较好的经济、环境和社会效益。     

Energy and Economic flow in homegardens in Subtropical Yunnan,SW China: A case study on Sanjia village

We studied the energy and economic flow of six types of homegardens in Sanjia village, SW China. Our study showed that the energy input of six types of homegardens averaged 99.11-175.65 x 10¹⁰J/ha, the energy output was 102.30-159.83 x 10¹⁰J/ha and the ratio of input/output ranged between 1:0.880-1:1.416. The ratios of input to output of home-gardens that prioritized cultivation of crops were higher than for homegardens that prioritized animal husbandry or other economic activities. The economic ratio of input/ output of six types of homegardens varied between 1:0.997-1:1.376 and the economic output ranged between 2480.0-10131.5 RMB/yr. We concluded that the homegarden systems of Sanjia village are high in the input and output of energy and cash flow, and can provide a basis for designing models of farm economy in rural subtropical areas.     

The free energy and information embodied in the amino acid chains of organisms

It is generally accepted as a useful and workable hypothesis that when an ecosystem receives an inflow of exergy (energy that can do work) it will utilize this flow of exergy to move as far away from thermodynamic equilibrium as possible after the exergy (energy) for maintenance has been covered. If more combinations of system components including organisms are offered, the combination of components and processes that will bring the system most away from thermodynamic equilibrium will win.The amino acid sequences of the proteins e.g. enzymes determine and control the life processes of the organisms and may be viewed as information sensu lato. The free energy of oxidation of the amino acids and the peptide bonds of the cell enzymes expresses therefore the exergy content, eco-exergy or work capacity that the information contributes to “moving further away from thermodynamic equilibrium”. In this paper eco-exergy is calculated and plotted versus the β-values (a measure of the information contained in the genome) for different organisms. The eco-exergy density was previously (see [J?rgensen et al., 1995] and [J?rgensen et al., 2005]) proposed to be calculated as the summation of the product of the β-values representing the information of the genome multiplied by the concentrations of the respective ecosystem components. This analysis shows a strong correlation between the β-values and free energy released when oxidizing the enzymes. The β-values can therefore be assumed to represent the free energy that the organisms have invested in genetic information.