Complexity theory, spatial simulation models, and land use dynamics in the Northern Ecuadorian Amazon

Our research questions and analytical approaches are used to examine coupled human-natural systems in the Northern Ecuadorian Amazon. They are based on complexity theory and extend from our earlier work in Cellular Automata (CA) in which land use/land cover (LULC) change patterns were spatially simulated to examine deforestation and agricultural extensification on household farms. The basic intent is to understand linkages between people and the environment by explicitly considering pattern-process relationships and the nature of feedback mechanisms among social, biophysical, and geographical factors that influence LULC dynamics within the study area. In this research, we describe how our CA modeling approach emphasizes the human dimensions of LULC change by including socio-economic and demographic characteristics at the household-level along with biophysical data that describe the resource endowments of farms, geographic accessibility of farms to roads and communities, and the evolving nature of human-environment interactions over time and space in response to exogenous and endogenous factors.A LULC change scenario is examined by comparing model outcomes generated for a base CA model and an alternative CA model to explore the effects of increases in household income on land use change patterns at the farm level, achieved as a consequence of improved geographic accessibility to roads and communities and increased off-farm employment as a household livelihood strategy. Growth or transitions rules in our CA model, as well as neighborhood associations are sensitive to socio-economic and demographic factors of households, resource endowments of farms, geographic accessibility, and the uncertainty associated with peasant farming in a frontier setting. Model outcomes indicate that increases in household income are associated with more land in pasture and more land being cultivated for crops as a result of greater access to agricultural markets. In addition, more land in secondary forest succession occurs as a consequence of greater access to roads and communities, thereby, affording a better opportunity for off-farm employment and greater levels of household income.     

Temporal dynamics and spatial scales: Modeling deforestation in the southern Yucatán peninsular region

Two spatially explicit econometric land use change models are presented, focusing on tropical deforestation caused by agricultural expansion in the southern Yucatán peninsula, Mexico. The two models developed are both based on conceptually similar theoretical models of farmer behavior. However, there are different empirical specifications of this theoretical model according to the scale of the analysis as well as the availability of temporal data on the observation of deforestation. For both models, the unit of observation for the dependent variable of deforestation is the TM pixel from satellite data. However, the socio-economic explanatory variables are derived from different sources. The first econometric model links the satellite data for the entire study region with aggregate census data at the village level. This model is estimated using a discrete choice logit model over a single time period. The second econometric model uses individual household survey data for a small random sample of the region, linked to satellite data for the plots of each household over multiple time periods. This model is estimated using a dynamic hazard model that estimates the risk of a specific pixel converting from forest to agricultural use. Both estimated models are used to predict deforestation and the results of the two modeling approaches are compared.     

Assessing land use and land cover change in the Wassa West District of Ghana using remote sensing

Vast tracts of forests are lost globally every year especially in the developing countries of the tropics due to various human activities such as lumbering, farming, bush fires, surface mining and urbanization. The rainforest in Ghana has experienced rapid depletion since the 1980s. The impact of deforestation is widespread, affecting the livelihoods of local people and disrupting the tropical ecosystem. There is a serious concern in the study area about climatic change, soil erosion, siltation of rivers and loss in biodiversity which have an adverse impact on traditional medicinal plants of the local people. The study examined the extent of land cover change through image differencing of Landsat TM 1986 and 2002. The image classification indicated that, vegetative cover from 1986 to 2002 has been reducing whiles land use activities have been increasing. Closed canopy, open canopy and plantation have significantly diminished and land use activities especially built ups, farms, mining and openfields are more than doubled. The driving forces for the change in land cover are population growth, lumbering, socio-economic and cultural practices of the people. Lumbering and mining have been some of the major causes of the changing landscape in primary forest. Also the reliance on wood for domestic energy and the need to increase food productivity to feed growing population have also contributed greatly to the rapid depletion of the vegetative cover.     

新疆于田绿洲地表温度对土地利用/覆被的响应监测

以于田绿洲为例,以Landsat TM/ETM+图像为主要的数据源,提取了于田绿洲的土地利用/覆被信息.利用单窗算法反演了地表温度,综合分析了2001-2011年间于田绿洲±地利用/覆被变化(LUCC)及其对地表温度的影响,同时利用像元分解模型得出绿洲植被覆被度,并分析了其与地表温度的关系.结果表明:在2001-2011年的10 a期间,于田绿洲最主要的土地利用类型是以人类为主导因素的,同时以自然利用类型向人工利用类型的转化最为显著.耕地、水体等以人类为主导因素的土地利用类型面积增加了809.65 km2,盐渍地等以自然为主导的土地利用类型面积减少了758.76 km2,人为影响是于田绿洲较主要的驱动因素.于田绿洲土地利用/覆被变化改变了地表温度的空间分布特征,在土地利用/覆被类型发生变化的区域,地表温度有升有降,但总体上地表温度的空间分布与土地覆被类型的空间变化格局存在明显的一致性.地表温度的变化与植被覆被度的变化有关,证明了植被在改变下垫面热量分布的格局中扮演着重要作用.     

不同土地利用方式下土壤CO2时空分布特征及其影响因素——以湘西大龙洞地下河流域为例

为了解不同土地利用方式/覆被条件土壤剖面CO2时空分布特征及其影响因素,对湖南湘西大龙洞地下河流域的4种土地利用方式（林地、草地、玉米地、烟叶地）土壤不同深度的CO2浓度进行为期一年的观测。结果显示,不同土地利用方式的土壤CO2表现为草地(7 527 mg/m3)>林地(7 197 mg/m3)>烟叶地（4 562 mg/m3）>玉米地(4 414 mg/m3);随剖面深度加大,草地和玉米地土壤CO2呈先增大后稳定的趋势,林地和烟叶地则表现为先增大后降低的趋势;时间变化上,不同土地利用方式下的土壤CO2月均浓度曲线与气温的变化曲线有很好的对应性,表现为2-8月浓度升高,8-12月降低,12月至次年2月为小幅下降,土壤CO2浓度的最低值和最高值分别出现在2月和8月。相关性分析显示,气温对土壤CO2浓度的影响最显著,此外,不同土地利用方式下有机碳的差异,与气温相耦合的降雨因素等都对土壤CO2浓度变化有重要影响。      

中国土地利用/覆盖变化的生态环境安全响应与调控

中国从20世纪70年代末实施了前所未有的改革开放政策,巨大的境外投资、有偿转让使用与土地联产承包政策在广大城乡的推行,引致了快速的城市化与经济增长过程,城市化水平增长15%,GDP平均每年增长超过9%,城市化土地面积增长2%。与此相应,严重的生态环境灾害相继发生,1994年淮河特大污染事件;1997年黄河断流227天;1998年发生长江、嫩江流域特大水灾;2000年发生严重影响中国首都北京及韩国、日本的12次沙尘暴;2004年,淮河流域再次发生严重污染事件。综合分析表明,土地利用/覆盖格局的巨大变化、城市化过程的加速、乡镇企业的迅猛发展成为其主因。一些案例研究表明,重建生态环境安全条件下的中国土地利用/覆盖格局,制定与生态环境安全水平友好的国家土地利用政策,不仅有利于改善中国生态环境安全水平,还将促进其可持续发展,并有益于亚洲及世界生态环境的改良。     

中国历史耕地变化及其对自然环境的影响*

农业开发已经直接或间接地影响并正在影响自然环境的许多方面,中国农业开发历史悠久,对自然环境造成的影响广泛而强烈,对认识人类活动导致的全球与区域环境变化具有代表性。文中总结了近年来基于考古和历史文献记录的中国历史耕地变化定量重建和耕地开发环境影响的研究成果。主要结论包括: (1)中国在历史耕地变化重建方面具有独特的优势,主要数据源包括田亩、税赋、人口等与耕地数量相关的数值记录,考古遗址点、聚落、路网、行政建制等与农业活动相关的信息,有关土地开发和农业生产的描述性记录等三大类。 (2)对全国尺度的耕地面积推断始于春秋战国时期,过去1000年以来已重建了省(路)域的垦殖率,过去300年基于历史记录重建的东北、华北等区域垦殖率的分辨率已到县,在重建基础上利用分配模型获得的过去300年格网化垦殖率的分辨率可达10 km×10 km甚至1 km×1 km。相比于当前广泛使用的国际数据集,这些区域定量重建结果更为准确。(3)历史时期中国耕地的3次大规模扩张分别主要出现在西汉、两宋和清中叶,与此相对应,植被破坏和水土流失从北方地区扩展到南方地区,从平原低地扩展到低山丘陵、深山地区;过去300年耕地变化导致了碳排放的增加和可辨识的区域气候变化。未来中国的历史耕地变化重建及其对环境影响研究,应与国际过去土地利用/覆盖研究衔接,研究重点为延长历史耕地重建时限、提高重建单元的空间分辨率和改进耕地格网化分配模型。     

托木尔峰国家级自然保护区土地利用/覆被变化及驱动力分析

利用保护区的3期Landsat TM遥感影像数据,运用GIS技术并结合区域生态环境质量指数,对托木尔峰自然保护区土地利用/覆被变化及其驱动力进行分析。结果表明:近27 a来,冰川和草地面积持续增长,增幅分别为12.37%和99.36%;水体和荒地面积持续减少,减幅为23.07%和12.15%;林地前阶段(1989-2003年)减少16.77%,后阶段(2003-2016年)增加57.91%。区域土地利用/覆被综合动态度,前阶段为0.39%,后阶段为0.36%;前阶段转化率为21.95%,后阶段转化率为18.91%。水体、草地和林地的转化率较高,冰川和荒地的转化率较低;尽管土地利用/覆被类型内部结构变化较复杂、频繁,但各类型之间相互转换的活跃程度逐渐趋于平缓。研究区生态环境质量指数呈增长趋势,年均增长率为0.31%,生态环境逐年改善。致使研究区生态环境质量改善的主要驱动力为气候的变暖湿和土地利用政策的改变。近27 a来,研究区中高山带降水量的增加,扩大了保护区冰川雪地的面积;晋升为国家级自然保护区后的土地利用政策,有效遏制了人类活动对保护区土地利用/覆被的影响,进而使生态贡献率较低的荒地转化为生态贡献率高的林草地,提高了区域生态环境的质量。     

巨大灾害后的脆弱性：台湾集集地震后中部地区土地利用与覆盖变迁

自2004年底的南亚大海啸、美国遭受飓风侵袭以来，人类社会如何采取应对措施以降低灾害的冲击成为国际科学界的一个重要议题。台湾在几年前也遭遇巨大的地震灾害，1999年9月21日凌晨，震中发源于台湾中部、芮氏规模7.3级的巨大地震，造成全台湾2 000多人死亡，8 000多人受伤，除了造成直接的经济社会损失外，也造成山区土石松滑、地层松动与山崩，直接改变了地表的覆盖状况。在后续几年台风所带来的强风豪雨下，丰沛的降雨量使原本因地震而松滑的土石大量滑落，造成严重的土石流灾害，河床也因土石泥沙的堆积而被提升，形成严重的洪患。这些自然环境的变化不仅再次改变地表的覆盖，也使重建后的小区面临极大的灾害风险。此次冲击促使当地居民重新思考人地关系之意义，通过重建过程凝聚小区意识，发展有别于过去的土地利用形态。因此为检验当地居民对灾害的暴露程度、敏感性与适应能力，本研究采用近年来在国际环境灾害研究课题备受重视的脆弱性研究途径，并利用野外调查以及遥测与地理信息系统分析呈现地震后的土地覆盖变化。希望通过分析人与环境系统的变化，以及人类社群的社会内部固有特质，归纳出重要机制以发展降低脆弱性的策略。 研究结果显示，灾害是人与环境耦合系统(coupled system)共同形成的结果，非单一的独立事件，也不是不可避免的；且地方的脆弱性具有演化与多元化的特性，同一地方下不同族群与个体对灾害的脆弱性皆不同，因此灾害研究必须更关注于灾害发生的机制，相关的政策与策略也必须建立在更小的社会与空间单元上。     

Pervasive wetland flooding in the glacial drift prairie of North Dakota (USA)

This article describes a unique flood hazard, produced by the dramatic expansion of wetlands in Nelson County, located within the North American Prairie Pothole Region of North Dakota, USA. There has been an unprecedented increase in the number, average size, and permanence of prairie wetlands, and a significant increase in the size of a closed lake (Stump Lake) due to a decade-long wet spell that began in 1993 following a prolonged drying trend. Base-line land cover information from the 1992 USGS National Land Cover Characterization dataset, and a Landsat TM scene acquired 9 July 2001 are used to assess the growth of the closed lake and wetland pond surface areas, and to analyze the type and area of various land cover classes inundated between 1992 and 2001. The open water profile in Nelson County changed from one marked by relatively comparable coverage of closed lake and wetland pond areas in 1992, to one in which wetland open water accounted for the vast majority of total open water in 2001. The bulk of the wetland pond area expansion occurred by displacing existing wetland vegetation and agricultural cropland. Producers responded to the flood hazard by filing Federal Crop Insurance Corporation (FCIC) claims and enrolling cropland in the Conservation Reserve Program (CRP), a federal land retirement program. Land taken out of agricultural production has had an enormous impact upon the agricultural sector that forms the economic base of the rural economy. In 2001 the land taken out of production due to CRP enrollment and preventive planting claims represented nearly 42% of Nelson County’s 205.2 K ha base agricultural land. The patterns obtained from this detailed study of Nelson County are likely to be the representative of the more publicized flood disaster occurring within the Devils Lake Basin of North Dakota.     

猫跳河流域土地覆被变化及其驱动力定量研究

应用RS、GIS以及GPS集成技术,以黔中喀斯特地区的猫跳河流域为对象,研究了这一地区从1973—2002年间土地利用／覆被的变化过程,并利用典型相关分析法研究了形成这种变化的驱动因素。研究表明,从1973—1990年,猫跳河流域耕地、建设用地、有林地、水域以及裸岩地呈增长趋势,而灌木林和灌草地趋于减少,流域生态环境质量下降。进入20世纪90年代后,有林地、灌草地、建设用地、水域持续增加,灌草地总量变化不大,耕地总量和裸岩地减少,流域生态环境质量趋于好转。定量分析表明,1990年以前,驱动建设用地变化的因素是总人口的变化,1990年以后则是农业产值;1990年以前驱动耕地变化的是农业人口的增长,1990年以后则和粮食产量的提高有关。      

Land-use change and its environmental impact in the Heihe River Basin, arid northwestern China

Rapid land-use change has taken place in many arid and semi-arid regions of China over the last decade as the result of demand for food for its growing population. The Heihe River Basin, a typical inland river basin of temperate arid zone in northwestern China, was investigated to assess land-use change dynamics by the combined use of satellite remote sensing and geographical information systems (GIS), and to explore the interaction between these changes and the environment. Images were classified into six land-use types: cropland, forestland, grassland, water, urban or built-up land, and barren land. The objectives were to assess and analyze landscape change of land use/cover in Heihe River Basin over 15 years from 1987 to 2002. The results show that (1) grassland and barren land increase greatly by 22.3, and 268.2 km², respectively, but water area decreased rapidly by 247.2 km² in the upper reaches of Heihe River Basin; (2) cropland and urban or built-up land increased greatly by 174.9, and 64.6 km², respectively, but grassland decreased rapidly by 210.3 km² in the middle reaches of Heihe River Basin; and (3) barren land increased largely by 397.4 km², but grassland degraded seriously and water area decreased obviously by 313.3, and 21.7 km², respectively in the lower reaches of Heihe River Basin. These results show that significant changes in land-use occur within the whole basin over the study period and cause severe environmental degradation, such as water environmental changes (including surface water runoff change, decline of groundwater table and degeneration of surface water and groundwater quality), land desertification and salinization, and vegetation degeneracy.     

吉林省西部地表蒸散与土地利用/覆盖变化关系

地表蒸散作为地表水分平衡和能量平衡的重要组成部分,是土地利用/覆盖变化的一个关键驱动因素。地表蒸散量的大小影响土地利用变化过程;反过来,土地覆盖类型又控制地表蒸散量的大小。为了弄清它们之间的相互作用关系,揭示地表蒸散在生态环境变迁中的作用,基于地表能量平衡理论,计算了研究区1986、1996和2000年的蒸散量,并与对应年份的不同土地类型数据进行了叠加分析。结果表明,从1986年到2000年,研究区草地、沙地和盐碱地的蒸散量都在变大,其中以沙地蒸散量增长最快,草地次之,盐碱地增长最小,为土地类型向盐碱地和沙地转化提供了有利条件,在一定程度上说明了地表蒸散加剧了研究区生态环境恶化。     

安徽庐枞盆地龙桥铁矿床中钴的赋存状态和空间分布规律

中国东部的长江中下游、莱芜、邯邢和临汾等矿集区中发育大量的矽卡岩型铁矿床,其中普遍伴生钴,部分矿床估算伴生钴资源量大于1万t,达到中型钴矿床的规模。已有研究表明,中国东部富钴矽卡岩型铁矿床的成矿时代相同,成矿特征相似,均为中国东部130Ma大规模成矿作用的产物,反映较大规模的铁钴成矿作用受统一的动力学背景控制。钴与其他伴生组分一样,其工业价值主要不取决于矿石中钴的含量,而取决于钴的赋存状态,因此开展矽卡岩型铁矿床中钴的赋存状态和分布规律研究具有重要的理论和实践意义。龙桥矽卡岩型铁矿床位于长江中下游成矿带,是目前发现的成矿带内伴生钴含量最高的矿床。矿床主矿体长1000m,成矿岩体位于矿体中部,黄铁矿分布范围广,距离岩体中心不同距离均有分布,是研究矽卡岩型铁矿床中钴赋存状态和空间分布规律的理想对象。本次研究在龙桥铁矿床勘探巷道-370m平面自西向东采集了9件含黄铁矿样品,黄铁矿主要呈浸染状-细脉状交代磁铁矿。研究表明,龙桥铁矿床中钴主要赋存在黄铁矿和磁铁矿中,其次为独立钴矿物(主要为辉砷钴矿)。黄铁矿的LA-ICP-MS微区微量元素分析结果表明,龙桥黄铁矿中Co(0.019×10~(-6)～5639×10~(-6))、Ni(0.025×10~(-6)～5798×10~(-6))和As(0.46×10~(-6)～14526×10~(-6))的含量均具有较大的变化范围,黄铁矿总体上具有边缘富钴、核部贫钴的特征,黄铁矿边部的钴含量是核部的100～1000倍。通过对LA-ICP-MS测试数据以及时间分辨率剖面的逐一对比,推测Co主要以类质同象形式替代Fe进入黄铁矿晶格。由于钴在黄铁矿中分布极不均匀,不同空间位置采集的黄铁矿样品中Co含量平均值和变化范围没有明显规律。本文通过类比,提出中国东部矽卡岩型铁矿床中钴矿物可能是普遍存在的,但以前受限于分析测试手段未能发现;如何在选矿过程中分离富集钴矿物和富钴黄铁矿,是矽卡岩型铁矿床硫精粉中钴回收利用的关键。     

A multi-scale study on land use and land cover quality change: The case of the Yellow River Delta in China

This paper presents a case study of the Yellow River Delta in China, to trace land use and land cover changes during the past 20 years, with an emphasis on land quality changes. Three sets of data are used in this case study: remote sensing data derived from satellite images; crop yield data from statistics; and soil data collected by the researchers in the field. Our study reveals that at the regional scale, LUCC has taken place in a positive direction: vegetation cover has been expanding and crop yields per hectare have been on rise. However, while the overall eco-environment has improved, the improvement is uneven across the Delta region. At local levels, some areas show signs of increased salinization and declining organic content. Both natural forces and human activities are responsible for the LUCC, but human activities play a more important role. While some impacts of human activities are positive, the damages are often long-lasting and irreversible. We also conclude that it is necessary to use both macro data (such as remote sensing data) and micro data (data collected in the field) to study land quality change. The former are efficient in examining land quality changes at the regional scale, the latter can serve to verify ground patterns revealed from macro data and help to identify local variations, so as to get a comprehensive understanding of LUCC and promote sustainable land use and land management. This revised version was published online in July 2006 with corrections to the Cover Date.     

洞庭湖区土壤实测碳量的分布规律及其对全球变化的响应

研究区域土壤碳库的分布特征对于全球变化研究、土壤肥力和生态系统的功能评价具有重要意义。在缺乏长期实测资料情况下,国内外多以模型、第二次土壤普查资料或较稀的实测数据进行研究。文中利用洞庭湖区生态地球化学调查实测数据,研究影响该区土壤碳分布的因素认为区域土壤碳量处于全国的中、高级水平;地质地貌条件是影响土壤无机碳量分布的最重要因素;土壤类型对土壤碳量有影响;本区水土流失强度对表层土壤总有机碳量影响不大;经济林、竹林的土地利用方式及防治土壤潜育化有利于土壤的碳储存;从TOC等沉积的时空演化规律说明,本区环境变化是对全球环境变化的响应,为区域土地利用、促进土壤碳固定及全球环境变化研究提供了依据。     

土地利用和覆被变化对岩溶区土壤CO2浓度的影响

通过选择3个具有不同地质背景、气候条件等环境特征的山西汾阳马跑-郭庄岩溶泉域、湖南湘西大龙洞地下河流域、广西桂江流域,对流域内具有代表性的不同土地利用方式和覆被类型下垫面土壤20~50cm深处CO2浓度进行检测。结果显示,土地利用方式和覆被变化对3个流域岩溶土壤中20cm、30cm、40cm和50cm深处CO2浓度具有明显的影响作用:湖南湘西大龙洞地下河流域多数样地土壤CO2表现为随土层的加深先增加后降低的双向梯度;山西马跑-郭庄泉域玉米地的土壤CO2浓度比种植马铃薯的高,且随着覆被条件由草地→灌丛→林地的改善,土壤的扰动性变小,CO2浓度差趋于减少,变幅趋于稳定。各个流域相同覆被类型,群落结构和优势种变化越小,土壤CO2浓度变幅越小。      

气候变化、土地利用/覆被变化及CO2浓度升高对滦河流域径流的影响

在构建分布式水文模型与生物地球化学模型的耦合模型（DTVGM-CASACNP）及应用元胞自动机-马尔科夫（CA-Markov）土地利用预测模型基础上,以滦河流域为例分析气候变化、土地利用/覆被变化（LUCC）及CO₂浓度升高对径流的影响。研究结果表明: DTVGM-CASACNP耦合模型以及CA-Markov模型在滦河流域均具有较好的适用性;气候变化与土地利用/植被覆盖变化对滦河流域径流的影响较CO₂浓度升高的影响程度大;未来不同情景下滦河流域2020—2049年径流呈减小趋势,大部分情景下年径流较基准年减少,与非汛期相比,滦河流域未来汛期径流对不同情景更敏感,总体上在汛期径流相对基准年减少,而在非汛期径流相对基准年增加。     

新疆喀什噶尔河流域1990-2010年土地利用/覆被及景观格局的变化特征

采用新疆喀什噶尔河流域1990、2000和2010年的Landsat-TM影像数据和中巴资源卫星数据, 结合GIS技术, 分析了喀什噶尔河流域近20 a土地利用/覆被及景观格局动态变化特征, 并对其变化原因进行探讨. 结果显示: 在1990-2010年喀什噶尔河流域耕地、建设用地、盐碱地、水域湿地、裸土地和其他未利用地面积呈不断增加趋势, 变化幅度分别为73.92%、51.44%、24.27%、10.24%、6.47%和2.98%; 林地、草地和沙地面积减少, 变化幅度分别为-4.13%、-17.16%和-0.73%; 裸石岩砾面积近20 a基本维持不变. 利用转移矩阵可知, 流域新增耕地面积主要来自于16.46%的草地和3.36%的林地; 新增建设用地主要来自于1.46%的耕地和0.22%的草地; 新增水域湿地面积主要来自于0.18%的草地; 新增盐碱地面积主要来自于0.28%的草地. 1990-2010年的20 a里喀什噶尔河流域耕地和水域湿地分布趋于集中, 景观优势度增强, 且斑块之间的联系不断增强. 林地和草地面积减少, 景观趋于破碎化, 景观优势度降低. 喀什噶尔河流域土地利用类型及景观指数的变化受人口、经济、政策和技术的多重影响, 导致流域耕地面积增加、植被退化. 因此, 合理利用流域水土资源对流域生态环境安全十分重要.     

近50年挠力河流域上游径流深变化过程及其驱动机制研究

近50年挠力河上游径流深总体上呈递减趋势,并且径流深的递减与面上降水量的递减总体上一致,但不同的时段,径流深突变较为明显,并且与面上降水量的多少出现反常现象。通过运用双累积曲线法,得出自1963年以来,研究区域面上降水量与径流深的关系发生了明显的变化,主要表征为径流系数呈减少趋势。采用径流系数差异的秩和T检验法(α=0.05,n1=7,n2=43,T=255,T1α=108.52,T2α=248.47,T>T2α>T1α),同样得出1956~1962年径流系数系列与1963~2005年径流系数系列之间不具有一致性。运用降水—径流深频率曲线分析得出,同样的降水频率下,得出1963~2005年期间比1956~1962年期间径流系数也有显著的减少。研究结果表明:①降水是径流深变化的关键驱动力;②集水区域人为活动导致土地利用/覆被的变化,是径流系数突变的重要原因之一;③自2001年起,径流深的变化主要受龙头桥水库的调节以及水稻灌溉用水量的控制。建议应当增大龙头桥水库生态环境的调水功能,严格限制宝清水文站以上水稻田的发展面积;开展坡耕地退耕还林,增加森林的保育力度。本研究方法及结论,对未来科学配置挠力河流域水资源,尤其是寻求合理的湿地水资源恢复方案,以及分析三江平原旱化过程及其原因的具有参考意义。