黄淮海平原农区不同类型农户的土地利用方式选择及其环境影响——以河北省曲周县为例

以农户调查为基础,采用农户分类和方差分析等方法,对农户土地利用方式选择行为及其环境影响进行对比分析。受其兼业性、收入水平、文化素质和生产规模影响,不同类型的农户在地块尺度的土地利用方式选择存在差异:纯农业户、低收入农户的土地利用方式选择具有多元化的特征,兼业户、高收入农户、文化水平高的农户往往选择经济效益高、耗时少的土地利用方式。不同类型农户由于其土地利用方式及其肥料投入、水资源利用和秸秆处理等的不同,对土地质量和环境变化产生不同的影响。     

Agricultural landscape change and stability in northeast Thailand: historical patch-level analysis

The temporal nature of agricultural landscape change, where both intra- and inter-annual processes and changes are often at work, renders traditional methods of landscape change assessment not completely effective. Additionally, seasonal and longer-term shifting patterns of cultivation can sometimes appear as permanent landscape change when in fact they actually are simply a local change in spatial arrangement. To address these complexities, this work tests an approach that is longitudinal in character and based upon assessing the structure of landscape change as well as the landuse/landcover (LULC) change. Set in rural northeast Thailand, patch dynamics are examined through use of LULC change trajectories built from an image time series and temporal patterns built from pattern metrics. The given unit of observation is the pixel, and its “life history” is constituted by the values derived from the images of a satellite time series, which are then reconstituted at the patch level for better ecological interpretation. The hypothesis that underpins this approach is that the nature of the trajectory is associated with the function of the land in that patch and in the neighborhood of surrounding patches. Hence, different trajectories of LULC spatial arrangement may suggest, for example, differences in the stability or dynamics of LULC over time and space, which are further suggestive of land sustainability or resilience, or conversely land conversion or dynamism. The study area for this research is a marginalized, agrarian environment in northeast Thailand, a region that has undergone deforestation of upland forests for the cultivation of commercial field crops, intensification of lowland rice for subsistence as well as local and regional sales and global export, and LULC scenarios altering the savanna landscape that serves as the background matrix. The analysis here characterizes the relative stability and temporal dynamics of LULC at the patch level. Pattern metrics calculated at the patch level are assessed as the spatial organization of landscape units that represent: (1) transitional areas of LULC dynamics occurring as peripheral expansion, (2) LULC change from forest to agriculture through deforestation, or (3) agriculture to forest through secondary plant succession, with savanna serving as a transitional matrix. In short, this paper proposes and tests a method for assessing the temporal persistence of LULC through pattern metrics. The method contributes a technique for analyzing the landscape ecology of sites as a function of their stability/dynamics within a scale-explicit context, and contributes to the growing body of work on relating scale, pattern, and process.     

三工河流域油料作物的农户种植意愿影响因素分析——基于Logistic模型和240户农户微观调查数据

论文以新疆三工河流域27个行政村(连队)240户农户的调查数据为基础,通过建立农户种植油料作物意愿和各自变量的Logistic回归计量模型,从家庭特征因素、 资源禀赋因素、 家庭经济因素和其他因素四大方面分析了农户对油料作物种植意愿的影响因素。研究表明:家庭总人口、 对农业技术服务的态度与农户的种植意愿呈正相关关系,且对农业技术服务的态度标准化系数更大,影响更显著;常年从事农业劳动人数、 户主文化水平和地块位置与之呈反相关关系,且户主文化水平的标准化系数更大,影响更显著。但是反映土地投入、 种地收入以及人均收入没有通过检验,不能得出这几个变量与农户种植油料作物意愿之间的关系。文章最后探讨了兵地差异对农户种植意愿的影响及研究展望。     

Relationships between Danish organic farming and landscape composition

This article presents an investigation of relationships between organic farming and landscape composition in Denmark. Landscape composition was analysed in terms of density of uncultivated landscape elements (I), number of land uses per hectare (II), diversity of land use (III) and mean field size (IV). Two analytical approaches were used. The first was based on an examination of the national agricultural registers for 1998, 2001 and 2004. The second approach used aerial photo interpretation for an analysis of 72 conventional and 40 organic farms within three sample areas for 1982, 1995 and 2002. The national analysis indicated that organic farming has a direct effect on landscape composition. In 2001, organic farms were characterised by a higher number of land uses per ha, a higher land use diversity and smaller mean field sizes. From 1998 to 2004, conversion to organic farming was related to an increasing number of land uses per ha, increasing land-use diversity and decreasing mean field sizes. Relationships between organic farming and landscape composition were independent of variations in regional location, farm size or farm size change. At the level of sample areas, a significant relationship between organic farming and landscape composition was only found for densities of small biotopes. However, when differences in farm size and physical geographical conditions between conventional and organic farms were taken into account, several significant differences in landscape composition were clarified in two of the three sample areas. Furthermore, changes in landscape composition following conversion to organic farming were largely biased by the characteristics of the sample areas. Thus, in contrast to the national level, the sample area study indicated that differences in landscape composition between organic and conventional farms were not a direct implication of organic farming practices, but were related to variations within other parameters and to the location of organically farmed land.     

Are landscape complexity and farm specialisation related to land-use intensity of annual crop fields?

Little is known about the predictive value of landscape complexity and farm specialisation for land-use intensity, although this is critical for regional agri–environmental schemes and conservation of biodiversity. Here, we analysed land-use intensity of annual crop fields of 30 farms in northern Germany that were located in 15 landscapes differing in structural complexity ranging from <15% to >65% non-crop habitats. The proportion of arable land per landscape was used as simple predictor of landscape complexity due to its close correlation with habitat-type diversity, and the proportion of arable land per farm acted as an indicator for farm specialisation due to its negative correlation with stock farming. Land-use intensity was quantified using questionnaires. Landscape complexity and farm specialisation were related to several but not all indicators of land-use intensity. Structurally simple landscapes were related to more nitrogen input and higher crop yields, and farms specialised on annual crops had reduced crop-species diversity, larger fields, higher crop yields and more pathogen species. In contrast to general expectations, pesticide use in annual crop fields was exceptionally high and not a function of landscape complexity or farm specialisation. Our results show that generalisations such as “farms specialised on annual crops and structurally simple landscapes show increased land-use intensity” may be misleading.     

Trends in fire patterns in a southern African savanna under alternative land use practices

Climate, topography, vegetation and land use interact to influence fire regimes. Variable fire regimes may promote landscape heterogeneity, diversification in vegetation pattern and biotic diversity. The objective was to compare effects of alternative land use practices on landscape heterogeneity. Patch characteristics of fire scars were measured from 21 annual burn maps produced from 1972 to 2001 Landsat imagery. Trends in fire patterns under alternative land use practices were compared across a 250,000 ha savanna in southern Africa partitioned into three land use zones. Zone 1, Madikwe Game Reserve (MGR), has had mostly prescribed fires since 1993. Zone 2, cattle farms near MGR in South Africa (SAF), has experienced occasional fires. Zone 3, communal grazing lands in neighboring Botswana (BOT), has had the fewest fires. Cattle ranching was the predominant land use throughout the study area until 1992, when land use switched to conservation and eco-tourism in MGR. Sixteen landscape metrics were applied to this data set to uncover trends in the patch characteristics of the fire scars. A principal components analysis (PCA) reduced the dimensionality of the results so trends in the 10 most important size, shape, and proximity metrics could be better interpreted. The PCA results showed that more burning over time in MGR, and to a lesser extent in SAF, increased patch size, size variability, shape complexity and proximity, while fire exclusion in BOT produced no change or decreasing trends. We tested for significant differences in these metrics between the three land use zones and between two periods, 1972–1992 and 1993–2001. Most patch characteristics in MGR and SAF differed significantly from those in BOT, especially during the latter period, while between MGR and SAF they did not. Patch area, shape complexity and core area increased significantly between periods in MGR, while patch size, size variability and core area increased significantly between periods in SAF. In BOT, no patch characteristics changed significantly between periods. Within the time span analyzed for the study area, we conclude that increased fire occurrence promoted landscape heterogeneity while fire exclusion did not.     

非农就业对农户种植多样性的影响:以江苏省泰兴市和宿豫区为例

为分析非农就业对农户种植多样性的影响,通过农户问卷调查手段获得356份农户问卷,以在江苏省泰兴市和宿豫区的农户问卷调查数据为基础,采用Poisson回归方法,估计了农户种植多样性决策模型。依据模型估计结果,分析了非农就业对农户种植多样性的影响。分析表明,农户的种植多样性受到多种因素的影响。负责农业生产家庭成员受教育年限提高1 a,种植多样性提高1.5%左右;种植面积增加1 hm²,则农户种植多样性提高28%左右;就农户参与非农活动的影响而言,与负责农业生产家庭成员不参与非农活动的农户相比较,负责农业生产家庭成员参与非农活动家庭的种植多样性减少11%左右;负责农业生产家庭成员参与非农活动月数增加1个月,农户种植多样性大约降低1.4%。分析说明负责农业生产家庭成员参与非农就业会显著降低农户种植多样性。     

Land cover change and landscape fragmentation—comparing the utility of continuous and discrete analyses for a western Honduras region

Current studies of land cover change and landscape fragmentation rely predominantly on land cover classifications derived from remotely sensed images. However, limitations of traditional land cover classifications are numerous and well known. This research compares classification-based techniques (discrete data) to the use of vegetation indices (continuous data) for land cover modeling and analyses of landscape fragmentation for a study area in western Honduras. The study area typifies many regions of tropical developing countries, where a complex interaction of social and environmental factors have given rise to a dynamic mosaic of patches of reforestation and deforestation. Understanding the complex human dimensions of land use and land cover change in these parts of the world continues to present a challenge for researchers.The land cover modeling analysis compares two models using different formulations for the dependent variable: (i) a continuous analysis using a tobit model regressing the normalized difference vegetation index (NDVI), with non-forest values truncated at 0, on the variables elevation, slope, distance from roads and distance from the nearest market; and (ii) a discrete analysis using a probit model with threshold NDVI coverages (representing forest and non-forest). To examine the patterns of landscape fragmentation, a discrete analysis of a forest/non-forest classification using the software FRAGSTATS is compared to a continuous NDVI-based analysis using the local indicator of spatial association (LISA) statistic. Estimated marginal effects and overall predictive power are compared across the tobit and probit formulations. Because the tobit formulation included variation in the dependent variable for forested areas, greater information was retained regarding the subtle relationships among the independent variables and land cover. The LISA statistic, using the NDVI coverages as input, were helpful in the interpretation of the data and its spatial arrangement in the landscape, indicating that the LISA was a good complement to the FRAGSTATS, classification-based analysis. Given the LISA statistic is parametric and hence subject to outliers, whereas landscape metrics tend to be non-parametric, we found that the use of both FRAGSTATS and LISA together was more beneficial than either analysis by itself. While there is increasing awareness of the need for using continuous data for land cover modeling and fragmentation, this area remains little explored. The research presented provides insights for additional future applications utilizing continuous data analyses.     

Changing roles of propagule, climate, and land use during extralimital colonization of a rose chafer beetle

Regardless of their ecosystem functions, some insects are threatened when facing environmental changes and disturbances, while others become extremely successful. It is crucial for successful conservation to differentiate factors supporting species’ current distributions from those triggering range dynamics. Here, we studied the sudden extralimital colonization of the rose chafer beetle, Oxythyrea funesta, in the Czech Republic. Specifically, we depicted the range expansion using accumulated historical records of first known occurrences and then explained the colonization events using five transformed indices depicting changes in local propagule pressure (LPP), climate, land use, elevation, and landscape structure. The slow occupancy increase of O. funesta before 1990 changed to a phase of rapid occupancy increase after 1990, driven not only by changes in the environment (climate and land use) but also by the spatial accumulation of LPP. Climate was also found to play a significant role but only during the niche-filling stage before 1990, while land use became important during the phase of rapid expansion after 1990. Inland waters (e.g., riparian corridors) also contributed substantially to the spread in the Czech Republic. Our method of using spatially transformed variables to explain the colonization events provides a novel way of detecting factors triggering range dynamics. The results highlight the importance of LPP in driving sudden occupancy increase of extralimital species and recommend the use of LPP as an important predictor for modeling range dynamics.     

农户层面土地利用变化研究综述

论文从研究视角、研究内容、研究方法和手段、数据获取4 个方面对农户层面土地利用变化 研究进行了概括。并归纳出目前研究的几个特点: ①研究较为关注热点地区; ②多将农户层面土地 利用变化的驱动力归因于人口增长所导致的生计压力以及与之相关的农业扩张; ③研究逐步从单 纯关注用途变更转向对用途变更和土地利用集约度变化并重; ④在手段和方法上趋于多样化并趋 向于综合使用多种方法; ⑤土地利用主体决策行为对于土地利用变化影响得到重视; ⑥在分析数据 的获取上, 问卷调查成为主导方式, 但越来越多的研究开始尝试将问卷调查和“3S”技术相结合。最 后总结了已有研究存在的问题, 并探讨了今后农户层面土地利用变化研究发展的方向。     

基于LUCC的露天矿区景观格局研究一以黑岱沟露天煤矿为例

露天矿区开发活动主要是在景观层次上进行,其直接导致土地利用／覆被变化（LandUse／Cover Change,LUCC）。本文以黑岱沟大型露天煤矿1987年、1990年、2000年及2010年4期遥感影像的土地利用数据为基础,基于GIS空间分析功能,以破碎度、分离度和优势度景观格局指数和景观类型脆弱度为指标,分析景观格局现状。研究显示：开发初期,耕地和草地虽有所减少,但所占面积保持在80％以上;生态恢复开始后,土地类型向林地和草地转移的面积逐渐增多。景观水平上分析显示,景观上破碎化程度加大,煤矿建设用地斑块面积逐年增大。从景观指数看,耕地、草地、未利用地的破碎度、分离度指数变化呈上升或不稳定状态,建设用地的破碎度和分离度指数有所减小;优势景观类型有所改变,建设用地对于区域景观的控制作用逐渐加强。     

基于一级水生态分区辽河流域景观格局时空动态分析

以辽河流域四个一级水生态分区为研究区,基于1990、2000、2005年TM影像,应用GIS技术,采用转移矩阵和景观指数方法,对辽河流域1990～2000年和2000～2005年期间土地利用和景观格局的变化进行了综合分析。结果表明:1990～2000年间水生态Ⅰ区耕地减少显著,减少的耕地主要转变为林地,而2000～2005年间草地面积大幅度减少,减少的草地主要转变为耕地;1990～2000年间水生态Ⅱ区耕地面积大幅度减少,耕地主要转变为草地和林地,2000～2005期间耕地大幅度增加,主要来源于草地;1990到2000年间水生态Ⅲ区耕地面积大幅减少,耕地主要转变为林地,2000～2005年大量林地转变为耕地和建设用地;水生态Ⅳ区包括浑河和太子河流域,其中浑河流域在1990～2000年时期景观格局的变化类型主要是由耕地转变为林地和建设用地,太子河流域耕地主要转变为林地。2000～2005年时期浑太河流域景观格局变化类型主要由减少的林地流向耕地。景观指数分析得到辽河流域景观变化的总体趋势是:形状更加复杂,异质性增加,破碎化程度加剧,尤其以建设用地的破碎度最高,并且有逐年增加的趋势。Ⅰ区和Ⅱ区景观连通性和聚合度在1990～2005年时期呈上升趋势,而在Ⅲ区和Ⅳ区在2000年景观结合度和连通度最低。研究时间内Ⅰ、Ⅱ、Ⅳ区景观多样性和均匀性指数在前期变化不显著,后期显著上升,Ⅲ区多样性和均匀度最高时期是2000年,1990年和2005年差别不显著。     

Spatial and temporal land use and carbon stock changes in Uganda: implications for a future REDD strategy

Using a map overlay procedure in a Geographical Information System environment, we quantify and map major land use and land cover (LULC) change patterns in Uganda period 1990–2005 and determine whether the transitions were random or systematic. The analysis reveals that the most dominant systematic land use change processes were deforestation (woodland to subsistence farmland—3.32%); forest degradation (woodland to bushland (4.01%) and grassland (4.08%) and bush/grassland conversion to cropland (5.5%) all resulting in a net reduction in forests (6.1%). Applying an inductive approach based on logistic regression and trend analyses of observed changes we analyzed key drivers of LULC change. Significant predictors of forest land use change included protection status, market access, poverty, slope, soil quality and presence/absence of a stream network. Market access, poverty and population all decreased the log odds of retaining forests. In addition, poverty also increased the likelihood of degradation. An increase in slope decreased the likelihood of deforestation. Using the stock change and gain/loss approaches we estimated the change in forest carbon stocks and emissions from deforestation and forest degradation. Results indicate a negligible increase in forest carbon stocks (3,260 t C yr-1) in the period 1990–2005 when compared to the emissions due to deforestation and forest degradation (2.67 million t C yr-1). In light of the dominant forest land use change patterns, the drivers and change in carbon stocks, we discuss options which could be pursued to implement a future national REDD plus strategy which considers livelihood, biodiversity and climate change mitigation objectives.     

Agricultural land abandonment and natural forest re-growth in the Swiss mountains: A spatially explicit economic analysis

Natural forest re-growth reflects a decline in traditional agricultural practices that can be observed worldwide. Over the last few decades, natural forest re-growth has replaced much of the agricultural land in the Swiss mountains. This is a region where forms of traditional cultivation have preserved unique landscapes and habitats of high ecological value. This study aimed to characterise the locations in the Swiss mountains where agricultural land has been abandoned and overgrown by trees and bushes. Therefore, multivariate statistical models based on geo-physical and socio-economic variables were developed. Land-use change data were taken from two nationwide land-use surveys carried out in the 1980s and 1990s. In order to obtain reliable models, neighbourhood effects and the group structure in our data were accounted for. For the latter a robust estimation technique known as cluster-adjustment was used.Results show that forest re-growth is largely restricted to former alpine pastures, land with grass and scrub vegetation and agricultural land with groups of trees at mid to high altitudes, steep slopes, stony ground and a low temperature sum. Some relationships were not as expected, e.g. many of the new forest areas were found to be relatively close to roads. A new finding from this study was that forest re-growth is largely restricted to regions with immigration, higher proportions of part-time farms as opposed to full-time farms and high farm abandonment rates. By accounting for neighbourhood effects, the model fit was improved. The considerable residual deviance of the models was interpreted as the result of undetected local characteristics, such as poor water availability, small-scaled topographic peculiarities (e.g. small trenches, stonewalls, soil damages by cattle) and the individual's motivation to abandon or maintain cultivation. The conclusion made was that general policy measures for the whole mountain area are not suitable for the prevention of land abandonment and forest re-growth, and that policy measures must pay more attention to local characteristics and needs.     

The impact of urban planning on land use and land cover in Pudong of Shanghai,China

Functional zones in cities constitute the most conspicuous components of newly developed urban areas,and have been a hot spot for domestic and foreign investors in China,which not only show the expanse of urban space accompanied by the shifts both in landscape(from rural to urban)and land use(from less extensive to extensive),but also display the transformation of regional ecological functions.By using the theories and methods of landscape ecology,the structure of landscapes and landscape ecological planning can be analyzed and evaluated for studying the urban functional zones‘layout.In 1990,the Central Govermment of China declared to develop and open up Pudong New Area so as to promote economic development in Shanghai.Benefited from the advantages of Shanghai‘s location and economy,the government of Pudong New Area has successively built up 7 different functional zones over the past decade according to their functions and strategic goals.Based on the multi-spectral satellite imageries taken in 1990,1997and 2000,a landscape ecolgy analysis was carried out for Pudong New Area of Sanghai ,supported by GIS technology.Green space(including croplands )and built-up areas are the major factors considered in developing urban landscape.This paper was mainly concerned with the different spatial patterns and dynamics of green space,built-up areas and new buildings in different functional zones,as influenced by different spatial patterns and dynamics of green space,built-up areas and new buildings in different functional zones,as influenced by different functional layouts and development strategies.The rapid urbanization in Pudong New Area resulted in a more homogeneous landscape.Agricultural landscape and suburban landscape were gradually replaced by urban landscape as the degree of urbanization increased.As a consequence of urbanization in Pudong,not only built-up patches,but also newly-built patches and green patches merged into one large patch,which should be attributed to the construction policy of extensive green space as the urban development process in Pudong New Area.The shape of green area of 7 functional zones became more and more regular because of the horticultural needs in Shanghai urban planning.Some suggestions were finally made for the study of future urban planning and layout.     

NUTGRANJA 2.0: a simple mass balance model to explore the effects of different management strategies on nitrogen and greenhouse gases losses and soil phosphorus changes in dairy farms

Farm nutrient management has been identified as one of the most important factors determining the economic and environmental performance of dairy cattle (Bos taurus) farming systems. Given the environmental problems associated with dairy farms, such as emissions of greenhouse gases (GHG), and the complex interaction between farm management, environment and genetics, there is a need to develop robust tools which enable scientists and policy makers to study all these interactions. This paper describes the development of a simple model called NUTGRANJA 2.0 to evaluate GHG emissions and nitrogen (N) and phosphorus (P) losses from dairy farms. NUTGRANJA 2.0 is an empirical mass-balance model developed in order to simulate the main transfers and flows of N and P through the different stages of the dairy farm management. A model sensitivity test was carried out to explore some of the sensitivities of the model in relation to the simulation of GHG and N emissions. This test indicated that both management (e.g. milk yield per cow, annual fertiliser N rate) and site-specific factors (e.g. % clover (Trifolium) in the sward, soil type, and % land slope) had a large effect on most of the model state variables studied (e.g. GHG and N losses).     

黑龙江省近50年来沼泽湿地退缩特征及其原因分析

在RS和GIS的支持下,综合集成1954年地形图和2000年TM影像重建黑龙江省1954~2000年沼泽湿地的空间信息矢量数据,结合斑块质心变化模型、景观参数和欧几里德最短距离函数,分析黑龙江省沼泽湿地退缩的区域分异特征,进一步从人类活动对沼泽退缩的影响的角度探讨沼泽退缩的原因。研究结果表明:黑龙江省近50年来,沼泽湿地面积急剧减少,由791.4×10⁴hm²减少到303.5×10⁴hm²;沼泽景观趋于破碎化;退缩的焦点区域主要集中在三江平原、大小兴安岭和松嫩平原。导致湿地退缩的人文原因主要包括三个方面:人口增加和耕地的不断开垦,国家建设国营农场的农业发展政策,与主要公路的空间区位关系。     

太湖上游流域下垫面因素对面源污染物输出强度的影响

应用流域断面监测、GIS的流域空间分析等手段建立太湖上游地区流域基础数据,通过多元逐步回归和冗余分析(redundancy analysis, RDA)手段,研究了太湖上游流域下垫面要素对流域出口污染物输出影响特征以及不同要素影响的相对强度,提取了影响太湖上游流域面源污染产出的主要下垫面因素并分析各小流域水质控制性要素的空间特征.研究结果表明,流域面源污染与下垫面要素具有很大的相关性,其中流域土地利用对面源污染产出的影响最为显著,其次是流域土壤特征、流域坡度,流域面积的影响最小;影响流域面源污染输出变化的控制性因素为居民用地、耕地面积比例和流域平均坡度,对水质数据进行解释的显著性和重要性水平均较高,能解释59.5%的流域水质信息、98.6%的下垫面特征-水质指标关系信息,且在不同小流域中这3个因素对流域水质影响的贡献率不同.     

长江口湿地景观镶嵌结构演变的数量特征与分形分析

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