四川发展农业循环经济的现状及问题

介绍了四川省地形地貌、人口与农业资源概况,分析了四川发展农业循环经济的现状和模式,提出了四川发展农业循环经济的关键问题。     

Uncertainty in Agricultural CH<Subscript>4</Subscript> AND N<Subscript>2</Subscript>O Emissions from Finland – Possibilities to Increase Accuracy in Emission Estimates

According to the United Nations Framework Convention on Climate Change (UNFCCC) and Kyoto Protocol under it, industrial countries have to estimate their greenhouse gas emissions annually, and assess the uncertainties in these estimates. In Finland, agricultural methane (CH₄) and nitrous oxide (N_2O) emissions represent 7% of anthropogenic greenhouse gas emissions, and globally the share is much higher. Agriculture is one of the most uncertain emission categories (representing over 20% of greenhouse gas inventory uncertainty in Finland), due to both high natural variability of the emission sources and poor knowledge of the emission-generating processes. In this paper, we present an uncertainty estimate of agricultural CH₄ and N₂O emissions from Finland in 2002. Uncertainties were estimated based on measurement data, literature and expert judgement, and total uncertainty in agriculture was calculated using Monte Carlo simulation. According to the calculations, agricultural CH₄ and N₂O emissions from Finland were 3.7 to 7.8 Tg carbon dioxide (CO₂) equivalents, 5.4 Tg being the mean value.Estimates of CH₄ emissions are more reliable than those of N₂O. N₂O from agricultural soils was the most uncertain emission category, and the uncertainty was not reduced by using available national measurement data of N₂O fluxes. Sensitivity study revealed that the uncertainty in total agricultural inventory could be 7% points lower, if more accurate emission estimation methods were used, including 1) improved data collection in area estimates of organic soils, 2) climate-specific methods for N₂O from agricultural soils as already presented in literature, and 3) more detailed CH₄ estimation methods for enteric fermentation which can be achieved by investigating national circumstances and digestible systems of animals in more detail.     

云南省玉龙县碳减排效应估算

玉龙县碳减排效应估算主要包括退耕还林、造林、小水电、替代能源(包括沼气池和太阳能)使用等方面. 其中,造林具有较长期的碳汇功能,会持续提供碳增汇服务功能;替代能源的使用可以有效减少薪柴燃烧,在以农村人口为主的玉龙县,薪柴是主要的取暖和生活能源,故替代能源的使用颇具意义. 以2005年为基准年,小水电和替代能源总的碳减排效应为22.24×103 t,其中小水电碳减排效应为14.43 ×103 t,太阳能碳减排效应为66.24 t,沼气池碳减排效应为7.74×103 t;设定了基准年后林木生长过程以及替代能源使用状况的情景,并进行情景模拟,估算了玉龙县造林在5年内会产生碳汇21.07×103 t,10年内会产生碳汇24.92×103 t. 在研究区总的碳减排效应中,小水电、沼气池以及生态林地都有较大贡献,而经济林和草地的贡献相对较小;与5年情景相比,20年情景中小水电和沼气池的贡献有所上升,而生态林地等的贡献相对下降.      

农用化学品对农产品的污染及其对策

由于农业大量使用化学品 ,使农产品的农药残留量及其衍生物增加 ,从而对人体健康造成具大的危害性。本文的主要目的就是让人们进一步认识在农产品生产中使用农用化学品的危害 ,倡导我国农业走绿色农产品生产的道路     

中国西北地区气候变暖对农业的影响

选取西北地区资料年代较长的171个地面测站1961～2003年日平均气温资料,计算历年≥0℃、≥10℃积温和<0℃负积温,深入研究西北地区热量资源对气候变暖的响应及其对农业生产的影响。结果表明:1987～2003年比1961～1986年的平均值明显增高,尤以最低气温增幅最大,这说明最低气温的变化比最高气温的变化更敏感,西北地区气候变暖主要来自最低气温升高的贡献。冬季升温幅度大于夏季,<0℃负积温绝对值明显减少。西北地区20世纪80年代后期气候明显变暖,热量资源增加,喜温作物面积扩大,越冬作物种植区北界向北扩展,对牧区牲畜越冬度春有利。西北地区气候变暖对农业的负面影响大于正面影响。     

集约化柑橘种植抑制土壤磷循环微生物活性

微生物是调节土壤磷循环的关键驱动力.阐明土壤解磷菌的微生物矿化过程对于提高植物养分吸收率和作物产量具有重要意义.通过测定柑橘园与毗邻的自然林地土壤编码碱性磷酸酶基因（phoD）丰度、解磷细菌群落多样性和土壤无机磷组分,探究柑橘种植对土壤微生物获取磷策略的影响机制.结果表明,柑橘种植导致土壤pH下降,土壤有效磷累积,ω（有效磷）平均值高达112 mg·kg^-1,显著高于毗邻的自然林地(3.7 mg·kg^-1).柑橘种植也会影响土壤磷素组成,柑橘土壤含有较高的可溶态磷（CaCl₂-P）、柠檬酸提取态磷（Citrate-P）和矿物结合态磷（HCl-P）.自然林地土壤各磷组分均显著低于柑橘土壤,而phoD基因丰度和碱性磷酸酶活性显著高于柑橘土壤.高通量测序结果表明,柑橘土壤解磷细菌Shannon指数（4.61）显著低于自然林地（5.35）,群落结构也有别于自然林地.柑橘种植改变了土壤解磷菌的群落组成,自然林地变形菌门的相对丰度显著低于柑橘土壤.土壤有效磷含量与碱性磷酸酶活性呈显著负相关,表明土壤高磷累积抑制土壤解磷细菌的活性.柑橘种植改变了土壤微生物对磷的获取策略,在柑橘园中,土壤微生物主要依赖外源磷,而自然林地土壤微生物主要以微生物分泌碱性磷酸酶矿化有机磷来获取磷的方式满足其生长需求.     

基于质子转移反应质谱(PTR-MS)对北方冬季大气氨的观测研究

氨是大气中广泛存在的碱性气体,已有的研究表明,氨能够参与包括硫酸/水体系的三元成核过程,进而促进新粒子的形成;同时,氨也是大气二次有机气溶胶(SOA)的重要前体物,对二次有机气溶胶的形成具有不可忽视的影响.了解大气中氨的污染情况,实现对大气中氨的高时间分辨率的在线观测,对于研究大气中氨的时空分布及来源解析,进而加深对气...     

论煤矿城市塌陷区和露天采矿区的生态重建战略问题

本文对上述不同地区煤矿塌陷区和露天采矿区的生态重建战略问题分别进行了论述。     

Application of analytical hierarchy process and geographic information systems in land-use suitability evaluation: a case study of Dümrek village (Çanakkale,Turkey)

This study used both analytical hierarchy process (AHP) and geographic information systems (GIS) to make a land-use suitability analysis for the village of Dümrek, NW Turkey. Primarily, alternative land uses for agriculture, meadow–pasture and forest were determined along with criteria for these alternatives and a hierarchical structure was produced and used to determine the weights of the criteria. Spatial data were identified by means of GIS and calculations were made using the suitability values specified and weights obtained from AHP. Suitability maps were then produced for the above land use alternatives. Subsequently, a synthesized suitability map was formed from these maps. According to the weights specified by AHP, the order of land use preferences among the alternatives for rural development of Dümrek was agriculture, forest and meadow. The synthesized suitability map showed that the areas allocated for forest and agriculture were close to the present ratios of use; however, meadow land, which does not exist at present, should be allocated as a land use to constitute 12.5% of the study area. Achieving sustainability in land use is possible by planners and administrators considering results obtained from land suitability mapping studies at the stage of allocating land uses. The method applied in this research is considered useful when taking policy decisions covering the evaluation of rural land use, particularly for subunits of the state administration.