高寒湿地自然保护区多核心动态分区研究——以四川若尔盖湿地国家级自然保护区为例

中国拥有92466 Km2的各类高原湿地，具有湿地退化、过度放牧等相似特征，保护与利用矛盾突出。高寒湿地保护区尽管在制度上以核心区、缓冲区来约束当地的放牧等外来干扰行为，但在实际管理中却不能起到应有的作用。 本研究以四川若尔盖湿地国家级自然保护区为例，应用3S技术，建立保护区多功能动态分区工作流模型，通过不同植被类型的识别和空间特征分析、不同动物类群在上述植被生境中的时空分布特征分析、保护区主要干扰因素的时空分布特征分析，突出对保护区主要保护对象（湿地生态系统）的保护，对保护区进行管理分区，依据野生动物利用特征和植被生长特征对核心区进行年周期动态利用，缓解保护与发展的矛盾，促进保护区的优化管理。 应用归一化植被指数（NDVI）与植被盖度的相关性，将归一化植被指数（NDVI）转化为植被盖度指数（MDVI），结合保护区牧场划分和时空利用特征专家经验，结果表明，MDVI值在1-139之间主要代表着水体、裸地、沙地等；MDVI140-256为草地和高山灌丛；MDVI210是当地夏牧场和秋冬牧场的划分区间值。 合理的区划需要资金、技术和政策的支持，为保证保护区多核心动态分区的实施，本研究提出了生态工程、牧业发展方式转变、湿地特色产业发展、湿地政策、社区参与和科技支撑等六大保障措施。 In China, 92466 Km2 highland or frigid wetlands are (were) facing major management problems, such as wetland degradation and overgazing. Conflict between conservation and utilization on those wetlands can be found anywhere today. Although many nature reserves have been setup for protection of frigid wetland, and core and buffer zone has been declared to forbid any kinds of disturbance, local farmers still use these areas for grazing. As an example by Sichuan Roige Wetlands National Nature Reserve(SRWNRR), we set up a 3S flow model to analyze the character of year-round distribution patters of vegetation, wildlife, and grazing. Combined and overlapped these characters together, we select multi-core zone and buffer zone, then define a dynamic management period in different zone to optimize protection wetland in the reserve. Normalized Difference Vegetation Index（NDVI）is highly related with coverage of vegetation. When convert NDVI to MDVI (coverage index, 1-256), index 139 and 210 can be as inflexion to distinguish among water/sand/bared land, summer pasture, and autumn / winter pasture. We use these to select different layers and analyze grazing pattern. To be more realistic, we put forward some strategies to support our multi-core and dynamic management of wetland in Roige, including ecological restoration engineering, changing of stock raising industry, changing of wetland policy, community based management and technology renovation supports.

不同小麦品质类型与生态环境关系的研究

小麦（Triticum aestivum L.）是世界上种植面积最大，总产量最高，食物加工种类最丰富的粮食作物，占世界人口35 ％－40 ％的人们以此为主要食物。因此小麦产量的高低和品质的优劣直接影响人们对食物需求的安全和满意程度，也影响着人类的营养平衡以及面粉和食品加工业的发展。随着生活水平的提高，人们对于小麦的品质越来越重视。培育优质专用小麦新品种，制定优质专用小麦品种品质生态区划，从而在不同程度上实现小麦的区域化种植和产业化经营具有重要的意义。 影响小麦品质的因素主要是遗传因素和环境因素，其中环境因素又包括各种自然生态因素和人为因素。研究表明，小麦品质的环境间的差异大于品种间的差异，气候条件是影响小麦品质的最重要的因子，小麦品质的地域间的差异反映出了小麦的品质区域分布规律。为了满足市场对不同品质小麦的需求，对小麦进行区域化研究具有重要的理论和现实意义。本研究结合四川的地理、气候特点，研究不同品质类型与生态环境的关系，为在复杂的生态环境内进行品质区划提供依据。 本研究首先根据四川省小麦种植区域的生态特点，在四川省多个典型生态区：川南丘陵的荣县、川西南高原的西昌、川西平原的双流布点种植，采用的小麦试验材料为不同品质类型：中筋小麦川育12、川育14、川育16由本所提供；弱筋小麦川麦32和强筋小麦川麦36由四川省农科院作物所提供。通过研究品质性状与品种及各个生态因子包括地点、土壤土质差异等的关系，明确不同生态环境中适宜种植的小麦品种类型，强筋小麦、中筋小麦更适合于在荣县、双流地区种植，弱筋小麦更适合于在西昌地区种植，为品种品质区划奠定基础。 其次，选择了本课题组育成的稳定中间品系，对其品质性状SDS沉降值进行了多年测定。分析了品质性状SDS沉降值与多种气候因子的相关性，结果表明SDS沉降值与日均温、日照时数成正相关，与降水量成负相关，为品质育种提供了理论依据。 此外，以中筋小麦新品种小麦川育14为材料，应用三元二次正交旋转回归模型设计试验，研究主要栽培因子播期、密度和施肥量对产量的影响，并建立函数模型。经计算机模拟寻优，筛选出了高产高效栽培组合措施，并确定了置信域。结合四川省不同的地理情况，在平原和丘陵地区分别进行实验，并各自建立了高产高效栽培组合措施，为川育14品种的推广提供了理论指导。 Wheat is one of the most important crops in the world. About 35%-40% people all over the world, take the wheat as their most important food. So the quality, as well as the quantity of the wheat makes a direct effect on people’s demands of food and their satisfaction. It also effects on human’s healthy, and the development of the Food processing industry. With the development of the living standard, people pay more attention to the quality of wheat. So, we set a special ecology zoning for wheat. It is significant to carry out planting the wheat in special zoning in varying degrees. The main factors affecting wheat quality are heredity and environment including many ecological factors and the factors in cultivation. As to the quality，the difference between ecology and cultivation is more important than the difference between special wheat. In so many factors, climate is the most important one. From the difference in quality between different zones，we can conclude the rule of distribution abort quality of wheat. Finding out the intersection of numerous wheat not only can meet the demand of food production，but also has important signification in theory and realism。In our research, according to the complex geography in Sichuan province, we study the relationship between numerous kinds of quality characters in wheat and the ecology. So, we can set a foundation for more research. In this research, firstly, we plant wheat in some typical ecological regions of SICHUAN province: RONGXIAN（south of SC）、XICHANG（south of SC）, SHUANGLIU(west of SC). The materials of the experiments: ChuanYu12, ChuanYu14, ChuanYu16(from our institute), Chuanmai32, Chuanmai36 (from the Chinese academy of agriculture sciences of Sichuan. Through the research on the relationship between the quality of wheat and those ecology factors, we can make a definition that which area is perfect matched with which kind of wheat. And it can satisfy the demand of people. Secondly, select many sorts of wheat from our research group. All of them are selected and bred more than 3 years(2003-2005). And we make every-year determination as well. We’ve gotten SDS value from those 9, and various data on factors of climate. We also got to know the relation ship between those numbers. Thirdly, use Chuanyu14 as material, the mathematical model of the relation between the production of wheat and main agricultural measures such as date, density and fertilizer. The model was established by association of three elements two return, rotate and regression. We set a suitable model and get a suitable method which can make high harvest. Based on various kinds of geographical regions in Sichuan province, we set different models which can be used in plain and hill. So, we can plant Chuan Yu 14 in Sichuan province under the result in research.