代表性浓度路径情景下宁夏草地动态演变的预测与模拟

西部地区是我国乃至亚洲的重要生态屏障.因此,遏制由于长期过牧导致的草地退化,保障西部地区生态系统功能,促进西部地区畜牧业和经济社会可持续发展具有重要的研究意义.本研究以宁夏回族自治区作为典型区,收集了宁夏土地利用数据、自然环境数据和社会经济数据,创建了联立方程组模型,研究了自然环境条件和社会经济因素对草地过牧与退牧过程的驱动机制.驱动分析结果显示对于草地过牧过程,气候因素是草地面积退化的重要影响因素,人口压力也在这一过程中起着决定性作用,交通条件较发达的地区,人类活动较频繁,对于草地生态系统破坏也相对较严重;而宁夏退牧过程的主要驱动因素之一是区域原有生态环境,经济要素也是决定退牧意愿的重要影响因素,国家政策是退牧过程的外在推动因素.基于宁夏土地利用规划和1PCC公布的RCPs情景数据,设计估算了规划情景和气候情景下的土地利用需求,然后基于草地动态演变的驱动机理,本文应用土地系统动态(DLS)模拟系统预测了2010-2030年在RCPs情景和规划情景下研究区域草地面积和草地质量的空间分布特征和变化趋势.研究结果表明,规划情景下,研究区域草地面积随时间呈逐渐减少的态势,AIM气候模式下草地面积的变化态势与规划情景相似,但是减少的幅度比规划情景小,而MESSAGE气候模式情景下草地面积变化呈先减少后有小幅增加的态势.三种情景下,草地面积减少的区域主要集中在低密度草区,部分是在中密度草区.总的来看,无论是哪种情景,未来2010-2030年过牧与退牧这种相逆的现象不断减弱,但是并没有消失.这些研究结论将为西部干旱区生态环境保护、草地资源开发利用与保护、畜牧业发展规划提供重要的决策参考信息.     

中蒙边境典型草原可燃物热解动力学研究

以中蒙边境(包括东乌旗、 二连浩特市、 新巴尔虎右旗)的草原可燃物为研究对象,利用STA 6000热重分析仪,采用热重分析法以5 ml/min,10 ml/min,20 ml/min,30 ml/min的氧气为载气,在空气气氛下,升温速率分别为40℃/min,60℃/min,80℃/min时对三个地区草原可燃物的热失重...     

Shifting cultivation in peatlands

Transboundary haze pollution from smoke from land preparation fires has become a perennial problem in Indonesia, especially in the last 10 years during the dry season. Most of that smoke originates from illegal land preparation fires for oil palm and industrial forest plantation as well as from shifting cultivation, which is usually blamed for the smoke. In order to understand the role of fire in shifting cultivation areas dominated by peat soils, research was conducted during the dry season of 2001 on land belonging to the community of Pelalawan village, Pelalawan district, Riau province, Indonesia. The research showed that burning did not affect all peat areas equally. No peat was burned on a fibric site, while burning on a hemic site varied in depth from 6.0 cm to 12.6 cm, and on a sapric site from 15.4 cm to 31.9 cm. Further, on the fibric site only phosphorus increased significantly following burning, while on the hemic only the base saturation increased; on the sapric site, however, both base saturation and phosphorus increased compared to the condition before burning. These data show that if fire is continues to be used for land preparation in peat areas, peat becomes critically endangered.     

四湖地区猕猴桃高效栽培模式与关键技术

针对地处四湖腹地的湖北省监利县果树资源利用率低及涝洼湿地的地理环境和生态条件 ,提出加快果树资源品种结构的调整 ,监北地势稍高 ,排灌方便的地方大力发展以猕猴桃为主的产业 ,同时利用架面下的行间土地套种蔬菜、瓜类作物、草莓、食用菌以及耐荫湿的中草药植物等立体生态农业的栽培模式 ,达到经济效益和生态效益的同步增长 ,与其相配套的栽培关键技术是采用地下通气排灌暗沟设施 ,重施有机质肥加磷肥 ;高畦壮苗定植 ;巧施追肥 ;适时排灌 ;树盘覆草保墒 ;人工辅助授粉和疏花疏果     

Primary Productivity and the Impacts of the Exotic Weed <Emphasis Type="Italic">Eupatorium Glandulosum</Emphasis> in a Montane Grassland of Garhwal Himalaya

Summary The biomass and productivity of a montane grassland of Garhwal Himalaya were estimated with the objectives to compare these values of the dominant exotic species, Eupatorium glandulosum HBK. (Asteraceae) with other species, and to compare the sites more dominated by this species with other study sites. The effect of dominance of this species on other species was undertaken because of its continuous spread in the grasslands of the Garhwal Himalaya causing replacement of some native grasses and economically important herbaceous plants. Out of six study sites, SW₁, SW₂, and NE₁ were more dominated by Eupatorium glandulosum. Total net primary productivity (TNP) ranged from 1528.5 to 2163.4 g m⁻² yr⁻¹. Eupatorium glandulosum showed individual highest biomass on all the study sites, and the sites more dominated by this species showed higher values of primary productivity, thereby reducing the biomass and production of other species on these sites.     

白腐真菌对染料脱色及降解过程机理和影响因素

许多白腐真菌对染料具有广谱的脱色和降解能力 ,其脱色及降解作用可能主要是由于其在次生代谢阶段产生的木质素过氧化酶LiPs和锰过氧化酶MnPs所致。培养条件对白腐真菌脱色及降解活性有较大的影响 ,在培养基中加入藜芦醇和二价锰等能够显著提高木质素过氧化酶的产生 ;富氮培养基会抑制LiPs的生成 ;硫脲、叠氮化物、氰化物等均能明显地抑制白腐真菌的脱色及降解活性 ;缓冲液的选择对维持稳定的 pH值和菌丝的形态有一定作用 ,从而影响其脱色效果 ;富氧环境是一切白腐真菌对染料进行脱色和降解的必要条件 ;适度的搅拌混合有利于反应时的物质之间传递 ;一般地 ,在培养时间达到 3天以后白腐真菌才能达到较高的脱色与降解活性。染料分子大小和结构及其基团的位置对脱色及降解效果有明显影响。使用特殊填料极大地提高处理系统中的生物量以克服真菌生长速度相对较慢、提高处理能力是该技术今后的研究重点。     

Spatially Disaggregated Inventories of Soil NO and N2O Emissions for Great Britain

Estimates of soil N₂O and NOemissions at regional and country scales arehighly uncertain, because the most widely usedmethodologies are based on few data, they do notinclude all sources and do not account forspatial and seasonal variability. To improveunderstanding of the spatial distribution of soilNO and N₂O emissions we have developedsimple multi-linear regression models based onpublished field studies from temperate climates.The models were applied to create spatialinventories at the 5 km² scale of soil NOand N₂O emissions for Great Britain. The N₂O regression model described soilN₂O emissions as a function of soil N input,soil water content, soil temperature and land useand provided an annual N₂O emission of 128 kt N₂O-N yr^-1. Emission rates largerthan 12 kg N₂O-N ha^-1 yr^-1 werecalculated for the high rainfall grassland areasin the west of Great Britain.Soil NO emissions were calculated using tworegression models, which described NO emissionsas a function of soil N input with and without afunction for the water filled pore space. Thetotal annual emissions from both methods, 66 and7 kt NO-N yr^-1, respectively, span the rangeof previous estimates for Great Britain.     

放牧对内蒙古草原温室气体排放的影响

静态箱-气相色谱法用于测定内蒙古典型草原温室气体排放.禁牧草原及放牧草原吸收CH₄、排放N₂O和CO₂各自有其相对固定的季节变化形式,草原和大气交换温室气体通量的季节变化形式主要受年度气候变化所控制,而土壤、植被类型、降雨量等禁牧因素和放牧强度等人为因素仅影响排放强度.与禁牧草原相比,自由放牧降低了羊草草原对CH4的吸收和对N₂O的排放,但大大增加了CO₂的排放量.随着放牧强度的增加,草原温室气体排放强度呈线性迅速增长.     

黄土高原半湿润区苜蓿草地土壤干层形成及氮素消耗研究

为掌握苜蓿连续种植多年土壤干层的形成规律及氮素的消耗规律,促进黄土高原地区苜蓿草地合理施肥及草田轮作,论文系统研究了3年、4年、6年、12年、14年、18年及26年生紫花苜蓿草地土壤干层及氮素的消耗。结果表明:黄土高原地区土壤干层可分为轻度干层（9~11%）、中度干层（7~9%）、重度干层（<7%）三级。荒地在80~100cm土层,出现轻度干层;苜蓿草地土壤干层出现的区域为140~600cm土层,随生长年限的延长,土壤干层厚度向下延伸,干化程度加剧,苜蓿生长至12年,出现中度干层,干层范围达到500cm土层。不同生长年限苜蓿草地土壤碱解氮含量呈现规律性的变化,即随土层深度的增加,碱解氮含量下降,300cm土层以下,变化趋势平缓;苜蓿生长至26年,0~200cm土壤上层的氮素有一定恢复,而200~1000cm深层土壤氮素难以恢复。研究表明,在黄土高原半湿润区紫花苜蓿生长6年以后,应对苜蓿草地进行合理施肥,实施粮草轮作,以维持土壤氮素平衡,持续提高土地生产力水平。     

Optimizing conservation in species-specific agricultural landscapes

Recovery of grassland birds in agricultural landscapes is a global imperative. Agricultural landscapes are complex, and the value of resource patches may vary substantially among species. The spatial extent at which landscape features affect populations (i.e., scale of effect) may also differ among species. There is a need for regional-scale conservation planning that considers landscape-scale and species-specific responses of grassland birds to environmental change. We developed a spatially explicit approach to optimizing grassland conservation in the context of species-specific landscapes and prioritization of species recovery and applied it to a conservation program in Kentucky (USA). We used a hierarchical distance-sampling model with an embedded scale of effect predictor to estimate the relationship between landscape structure and abundance of eastern meadowlarks (Sturnella magna), field sparrows (Spizella pusilla), and northern bobwhites (Colinus virginianus). We used a novel spatially explicit optimization procedure rooted in multi-attribute utility theory to design alternative conservation strategies (e.g., prioritize only northern bobwhite recovery or assign equal weight to each species’ recovery). Eastern meadowlarks and field sparrows were more likely to respond to landscape-scale resource patch adjacencies than landscape-scale patch densities. Northern bobwhite responded to both landscape-scale resource patch adjacencies and densities and responded strongly to increased grassland density. Effects of landscape features on local abundance decreased as distance increased and had negligible influence at 0.8 km for eastern meadowlarks (0.7–1.2 km 95% Bayesian credibility intervals [BCI]), 2.5 km for field sparrows (1.5–5.8 km 95% BCI), and 8.4 km for bobwhite (6.4–26 km 95% BCI). Northern bobwhites were predicted to benefit greatly from future grassland conservation regardless of conservation priorities, but eastern meadowlark and field sparrow were not. Our results suggest similar species can respond differently to broad-scale conservation practices because of species-specific, distance-dependent relationships with landscape structure. Our framework is quantitative, conceptually simple, customizable, and predictive and can be used to optimize conservation in heterogeneous ecosystems while considering landscape-scale processes and explicit prioritization of species recovery.