影响我国土地节约集约利用因素及对策

土地节约集约利用,是推进经济增长方式转变,实现经济、社会可持续发展的客观要求,是实现耕地总量动态平衡的必由之路。本文通过对土地节约集约概念的阐述,对土地节约集约利用进行分析,从而提出了实现土地节约集约利用的对策。

Analysis on the Economical and Intensive Utilization of Regional Construction Land in Zunyi City of Guizhou Province

Taking Zunyi City of Guizhou Province as research area, the research performed spatial dynamic analysis and elastic coefficient method to evaluate the e- conomical and intensive utilization of the regional construction land, and to discuss the decision direction for economical and intensive utilization of the regional con- struction land. The results showed that, the population based land utilization both in Zunyi and the city districts and counties indicated extensive trend. The economy- based land utilization in Zunyi City, as well as in Huichun, Zunyi and Tongzi County presented intensive trend, however the other districts and counties were in extensive tendency. It concluded that the economical and intensive utilization of construction land should be focused on the rural collective construction land, and the potential tapping of rural collective construction land in rocky desertification area should be the first priority, otherwise, the regional economic development was unbalanced be- tween different district and county in Zunyi.

Intensive use of an intertidal mudflat by foraging adult American horseshoe crabs Limulus polyphemus in the Great Bay estuary, New Hampshire

Although concerns about harvesting levels of the American Horseshoe Crab, Limulus polyphemus have prompted increased research into its ecology, current understanding of the species＇ foraging ecology is mostly limited to mid-Atlantic populations. This study elucidates the spatial and temporal pattern of Limulus foraging on an intertidal mudflat of a northern New Eng- land estuary. A novel survey method was used to monitor Limulus foraging activity without disturbing the sediment. A fixed 50 mx2 m transect was monitored with monthly surveys of the number of Limulus feeding pits from June to October 2009, May and June 2010. Snorkelling surveys were also carried out to observe individual behavior and examine the spatial scale of activity of individual animals. Results showed frequent and intensive use of the mudflat by foraging Limulus. Limulus were actively foraging within the survey area during all months surveyed. Foraging patterns exhibited a seasonal pattern with activity levels peaking in August 2009 and increased significantly towards the end of the study in June 2010. It was also shown that Limulus intertidal foraging persisted and peaked after the spring breeding season. Observations of foraging Limulus revealed that individual predators dig multiple pits within a single high tide, with little disturbance to the sediment in between. In addition to altering the perception of Limulus as a subtidal predator outside of the breeding season, findings from this study suggests a segregation of spawning and feeding habitats, thus underscoring the need to consider a wider range of critical habitats in the management of Limulus populations

Assessment of Industrial Land Use Intensity: A Case Study of Beijing Economic-technological Development Area

In recent years, great economic output of land has been achieved in economic-technological development areas in China, but the intensity of land use in some of these areas is very low. The degree of the low intensity of land use needs to be evaluated. The current method of comprehensive evaluation and grading by one index system has the limitations due to the existence of differences between regions and industries. This paper evaluates industrial land use intensity by Total Factor Productivity (TFP) analysis, which not only measures the intensity but also illustrates the ef-ficiency of input factors. This method is applied to the Beijing Economic-technological Development Area (BDA). A comparison analysis on factor use efficiency and input structure of capital and labor between industries is also carried out in the absence of a labor-income ratio.

Evaluation of Intensive Urban Land Use Based on an Artificial Neural Network Model:A Case Study of Nanjing City,China

In this paper, the artificial neural network(ANN) model was used to evaluate the degree of intensive urban land use in Nanjing City, China. The construction and application of the ANN model took into account the comprehensive, spatial and complex nature of urban land use. Through a preliminary calculation of the degree of intensive land use of the sample area, representative sample area selection and using the back propagation neural network model to train, the intensive land use level of each evaluation unit is finally determined in the study area. Results show that the method can effectively correct the errors caused by the limitations of the model itself and the determination of the ideal value and weights when the multifactor comprehensive evaluation is used alone. The ANN model can make the evaluation results more objective and practical. The evaluation results show a tendency of decreasing land use intensity from the core urban area to the periphery and the industrial functional area has relatively low land use intensity compared with other functional areas. Based on the evaluation results, some suggestions are put forward, such as transforming the mode of urban spatial expansion, strengthening the integration and potential exploitation of the land in the urban built-up area, and strengthening the control of the construction intensity of protected areas.

Global Major Progress and Trends in the Implementation of Agenda 21

This paper summarizes, from a global perspective, the major progress in the implementation of the Agenda 21 since the UN Conference on Environment and Development. The results show that global economy has achieved a substantial growth, and positive progress has been made in poverty eradication, urbanization, and conservation and intensive use of natural resources. However, relevant international conventions and commitments have not yet been completely fulfilled. The paper further analyzes the current major challenges and future trends of global sustainable development. It is argued that there are three major challenges:1) fatal global environmental issues posing an increasing threat to human survival; 2) more and more severe global competition for developing spaces; and 3) issues highlighting global people's livelihood. There are four trends of global sustainable development:1) sustainable development will further turn from concept into global action; 2) green will be the main trend of global development; 3) emerging developing countries will become the main driving force of global sustainable development; and 4) international relations in the field of sustainable development will turn to competitive co-operation.

Research of the Application of Nanometer Materials in Sports Engineering and the Biological Safety

In the modern material engineering, the use of nanometer materials has entered the highly and intensively utilized stage, so new nanometer materials have been continuously found to replace the traditional ordinary materials. The so-called nanometer materials have the size within l - 100nm in thickness, which originates from the 1980s. At that time, nanometer materials didn＇t have a proper development due to the economic level. t towever, with the support of science and technology, this technology has undergone tremendous changes in the related fields. There have been increasing expansion in the kinds and the width in use of the nanometer materials, so have the research of nanometer materials. In this paper, we will briefly analyze the application ofnanometer materials in the sports engineering.

From Conservation to Sustainable Development-A Case Study of Angkor World Heritage Site, Cambodia

The World Heritage Committee of UNESCO has called for a strategic commitment from its States Parties to strengthen links between heritage conservation and sustainable development. Fulfilment of this commitment will require integration of the conservation of sites with the sustainable use and management of natural resources in a larger area beyond the boundaries of sites. Identification and demarcation of areas for conserving World Heritage sites and sustainable development of broader regions must derive from an in-depth knowledge of people-environment relationships. The management of Angkor-an iconic World Heritage site -has been primarily focused on conservation and restoration of monuments within the boundaries of the site. However, that focus is now shifting towards addressing environmental, social and economic challenges for sustainable development of the broader landscape described in this paper as the Angkor ecosystem. Angkor has the potential to demonstrate the application of an ecosystem approach to sustainable development--advocated under the UN Convention on Biological Diversity. The site could be a laboratory for new research on cultural ecosystem services as a tool for bridging site conservation to the sustainable development of the Siem Reap province where the site is located.

Contribution of Forest Management Credits in Kyoto Protocol Compliance and Future Perspectives

Article 3 paragraph 3 and paragraph 4 of the Kyoto Protocol （KP） allow parties to use credits from land-based activities for offsetting their emission reduction/limitation target committed in the KP. Forest management （FM） is the dominant activity accounted by Annex I parties of the United Nation Framework Convention on Climate Change in the first commitment period of KP （2008-2012）. Data reported for 2008 and 2009 indicate that over half of the emission reduction target of 24 Annex I parties that expect to use FM removals can be offset by FM credits in the first commitment period. EspeciMly the majority of the emission reduction target of Slovenia, Sweden, Latvia, Finland, Japan, and Croatia may be achieved through FM credits. The total FM CAP as contained in decision 16/CMP.1 in the first commitment period was over-estimated significantly by 50% for all KP parties and 36% for parties that elected FM. Some parties such as Russia, Japan, Italy, Germany, and Switzerland that elected FM activity may benefit largely from the over-estimated CAP. Presuming a significant increase of the harvest rate, the FM reference level （FMRL） for 2013-2020 is only 1/5 of the historical mean value of FM removals even though most parties show an increasing or a steady trend of net removals from 1990 to 2009. As a result Annex I parties would be able to use FM credits in the future that are over 4 times of FM CAP in the first commitment period. This potentiM FM credit would account for 7.7% of total emissions by sources without land use, land-use change and forestry activities （LULUCF） in the base year or 1990, and more Annex I parties would share the ＂benefit＂ from the FMRL accounting approach.

A Hybrid Inexact Optimization Model for Land-use Allocation of China

Land scarcity has become the prominent obstacle on the way to sustainable development for China. Under the constraints of land shortage, how to allocate the finite land resources to the multiple land users in China considering various political, environmental, ecological and economic conditions have become research topics with great significance. In this study, an interval fuzzy national-scale land-use model(IFNLM) was developed for optimizing land systems of China. IFNLM is based on an integration of existing interval linear programming(ILP), and fuzzy flexible programming(FFP) techniques. IFNLM allows uncertainties expressed as discrete interval values and fuzzy sets to be incorporated within a general optimization framework. It can also facilitate national-scale land-use planning under various environmental, ecological, social conditions within a multi-period and multi-option context. Then, IFNLM was applied to a real case study of land-use planning in China. The satisfaction degree of environmental constraints is between 0.69 and 0.97, the system benefit will between 198.25 × 1012 USD and 229.67 × 1012 USD. The results indicated that the hybrid model can help generate desired policies for land-use allocation with a maximized economic benefit and minimized environmental violation risk. Optimized land-use allocation patterns can be generated from the proposed IFNLM.

Low-cost cloud computing solution for geo-information processing

Cloud computing has emerged as a leading computing paradigm,with an increasing number of geographic information(geo-information) processing tasks now running on clouds.For this reason,geographic information system/remote sensing(GIS/RS) researchers rent more public clouds or establish more private clouds.However,a large proportion of these clouds are found to be underutilized,since users do not deal with big data every day.The low usage of cloud resources violates the original intention of cloud computing,which is to save resources by improving usage.In this work,a low-cost cloud computing solution was proposed for geo-information processing,especially for temporary processing tasks.The proposed solution adopted a hosted architecture and can be realized based on ordinary computers in a common GIS/RS laboratory.The usefulness and effectiveness of the proposed solution was demonstrated by using big data simplification as a case study.Compared to commercial public clouds and dedicated private clouds,the proposed solution is more low-cost and resource-saving,and is more suitable for GIS/RS applications.

Work Organization at Farm Level： A Process-Led Approach to Understand Land Use Changes

In the French Alps, some grasslands have been abandoned, others are invaded by scrub whereas they are still used by farmers What are the relationships between land use changes and other changes at farm level that lead to scrub invasion？ We hypothesize that they are linked by two work organization processes： process of changes （changes in the household and farm） leading to less intensive land use; and annual processes （sequences of activities during the year） and their repetition from one year to another, leading to insufficient land maintenance. In this paper, we present a study carried out in the Northern French Alps, based on surveys with livestock farmers. It appears that land use changes are often the consequence of other changes made to address work problems, and land use sequences are defined according to workforce and prioritization of tasks. This highlights the importance of considering farmers as workers in order to evaluate land use changes at the farm level and to link them to the human dimension within farming systems.

Agricultural Land Use Intensity and Its Determinants in Ecologically-vulnerable Areas in North China:A Case Study of Taipusi County,Inner Mongolia Autonomous Region

Based on rural household survey data in Taipusi County in Inner Mongolia Autonomous Region, this article analyzes agricultural land use intensity and its determinants. The results reveal marked differences of agricultural land use intensity among households with different ages of householders, proportion of non-farm participants, total agricultural land area, land fragmentation and land utilization capacity. （i） Households with older householders and households with a smaller proportion of non-farming laborers generally spend more time on managing their land and invest less capital and materials than other households. The proportion of non-farming laborers within younger households is relatively high, and they tend to invest more capital and materials because the income derived from non-farm employment relaxes their financial constraints. （ii） Land fragmentation is an important determinant of land use intensity. Households with a bigger land size per plot usually spend less time and invest more capital and materials on their land; （iii） Land with better quality is usually managed intensively. The results suggest that labor has become an important constraint for local agricultural production, and there is the potential to improve land management scale and increase machinery input to substitute for labor. Furthermore, the effects of non-farm employment on land use intensity indicate that the establishment of a coordination mechanism between non-farm employment and agricultural land use is an important way to solve the conflict between ecological security and agricultural production in ecologically-vulnerable areas.

A Comprehensive Evaluation of Industrial Land Intensive Use in Hubei Province Based on Typical Industrial Enterprises

Here, we used Bayes methods to evaluate land use intensity in 365 typical industrial enterprises across nine manufacturing industries in Hubei, China and calculated the potentiality of enterprises with moderate and low intensive land use. We did this by constructing an evaluation index system of intensive land use for industrial enterprises comprised of four sub-objective layers including land use structure, land use intensity, land input and land output, and nine element layers. We found that among 365 enterprises, 82 enterprises use land intensively, accounting for 22.47% of our sample; 215 enterprises use land moderately or have low use, accounting for 58.90% of our samples. Enterprises with intensive use tended to be metal smelting and rolling processing industries and communication equipment, computer and other electronic equipment manufacturing industries. Enterprises with moderate and low use tended to be from the special equipment manufacturing industry, pharmaceutical manufacturing industry and chemical raw materials and chemical industry. The potential area for enterprises with moderate and low land use is approximately 865.70 ha and accounts for 42.38% of total current land approved, indicating that their potentiality for intensive use is large.

Remote sensing-based artificial surface cover classification in Asia and spatial pattern analysis

Artificial surfaces, characterized with intensive land-use changes and complex landscape structures, are important indicators of human impacts on terrestrial ecosystems. Without high-resolution land-cover data at continental scale, it is hard to evaluate the impacts of urbanization on regional climate, ecosystem processes and global environment. This study constructed a hierarchical classification system for artificial surfaces, promoted a remote sensing method to retrieve subpixel components of artificial surfaces from 30-m resolution satellite imageries(Globe Land30) and developed a series of data products of high-precision urban built-up areas including impervious surface and vegetation cover in Asia in 2010. Our assessment, based on multisource data and expert knowledge, showed that the overall accuracy of classification was 90.79%. The mean relative error for the impervious surface components of cities was 0.87. The local error of the extracted information was closely related to the heterogeneity of urban buildings and vegetation in different climate zones. According to our results, the urban built-up area was 18.18×104 km2, accounting for 0.59% of the total land surface areas in Asia; urban impervious surfaces were 11.65×104 km2, accounting for 64.09% of the total urban built-up area in Asia. Vegetation and bare soils accounted for 34.56% of the urban built-up areas. There were three gradients: a concentrated distribution, a scattered distribution and an indeterminate distribution from east to west in terms of spatial pattern of urban impervious surfaces. China, India and Japan ranked as the top three countries with the largest impervious surface areas, which respectively accounted for 32.77%, 16.10% and 11.93% of the urban impervious surface area of Asia. We found the proportions of impervious surface and vegetation cover within urban built-up areas were closely related to the economic development degree of the country and regional climate environment. Built-up areas in developed countries had relatively low impervious surface and high public green vegetation cover, with 50–60% urban impervious surfaces in Japan, South Korea and Singapore. In comparison, the proportion of urban impervious surfaces in developing countries is approaching or exceeding 80% in Asia. In general, the composition and spatial patterns of built-up areas reflected population aggregation and economic development level as well as their impacts on the health of the environment in the sub-watershed.

Temporal and Spatial Characteristics and Optimization of the Intensive Use of Cultivated Land in Maoming City

Improving the level of intensive cultivated land use is an important measure to ensure food security and promote the sustainable development of the regional society and economy.Based on data from the statistical yearbook of Maoming City and its counties and districts from 2005 to 2018 and the land use change database of Maoming City for 2018,this study constructed an evaluation index system for four aspects:cultivated land use intensity,cultivated land use degree,cultivated land output benefit and cultivated land sustainable use status.The level of intensive use of cultivated land in Maoming City from 2004 to 2017 was evaluated by AHP,the range method and the comprehensive evaluation model,and its temporal and spatial characteristics were evaluated.The results revealed three major points.(1)The intensive use of cultivated land in Maoming City in the past 14 years was good,and its level showed an overall upward trend,with the intensive use degree of cultivated land rising from 0.4045 in 2004 to 1.3148 in 2017.(2)The levels of intensive use of cultivated land in each county and district of Maoming City were generally on the rise,with no significant differences between them.However,according to the regional distribution,the intensive use level of cultivated land was highest in Maonan District,while it was relatively low in Dianbai County.The largest increase in the level of cultivated land intensive use was in Gaozhou,and the smallest was in Dianbai County.(3)According to the existing problems of cultivated land utilization in Maoming City,combined with the current international and domestic measures to effectively improve the level of intensive use of cultivated land,four suggestions are put forward:to improve the efficiency of cultivated land utilization and effectively protect basic farmland;to improve the overall urban planning and rationally adjust the layout of construction land;to raise farmers’awareness of the intensive use of cultivated land;and to increase agricultural investment and improve agricultural infrastructure.

Temporal Variations and Driving Factors of Cultivated Land Use Intensity in Shandong Province from 1980 to 2015

Based on the cost-income data of agricultural products and relevant statistical data, taking major grain crops and economic crops in the process of cultivated land use as study cases, we studied characteristics of the temporal variation of cultivated land use intensity and its composition in Shandong Provinee from 1980 to 2015, and then analyzed its main driving factors. The results showed that:(1) The total intensity of major crops in Shandong Province showed a rising trend from 919.73 Yuan ha^-1 in 1980 to 3285.06 Yuan ha^-1 in 2015, and the average annual in tensity of economic crops was higher than that of grain crops. The labor cost and material cost of major crops both showed an increasing trend, but the material input was much higher than labor input for grain crops, while the labor in put was much higher tha n material in put for economic crops.(2) The labor intensity of major crops in Shandong Province showed a decreasing trend from 501.75 man-day ha^-1 in 1980 to 161.93 man-day ha^-1 in 2015. The labor intensity of grain crops was lower than that of economic crops and its decline rate was fast. On the contrary, the capital intensity showed an increasing trend from 518.33 Yuan ha^-1 in 1980 to 1159.95 Yuan ha^-1 in 2015. In the internal composition of capital internsity, the proportion of yield-increasing inputs such as seed, farm-yard manure, fertilizer, pesticide and drainage and irrigation decreased gradually, while the proportion of la-bor-saving inputs such as agricultural machinery increased significantly.(3) The cultivated land use intensity in Shandong Provinee had significant negative correlations with the amount of agricultural labor and cultivated land area per capita. The primary direct driving factor was the net income per unit cost of major crops, but the time re-sponse lagged by 1-3 years. The main indirect driving factor was the reform of agricultural policy.

Effect of Land Use on Soil Phosphorus Sorption-Desorption Under Intensive Agricultural Practices in Plastic-Film Greenhouses

With rapid urbanization and economic growth, Chinese traditional rice-legume production is increasingly replaced by vegetable and horticultural flower production, which could affect soil properties. This study was conducted near Kunming City, Yunnan Province, Southwest China to investigate how soil phosphorus （P） sorption and desorption processes respond to land use changes and to relate P sorption and desorption parameters to soil properties. Soil samples （0-20, 20-40, 40-60, 60-80 and 80-100 cm） were collected from five sites representing four land use types： rice-legume production in a two-crop, one-year rotation （Rice）, vegetable production in open fields （Vegetable）, recent （〈 3 years） conversion from open fields to plastic-film greenhouse vegetable and flower production at two sites （VFCS1 and VFCS2）, and longer-term （〉 10 years） plastic-film greenhouse vegetable and flower production （VFCL）. The changes in land use affected soil pH, electrical conductivity, available N and P and organic carbon content in topsoil and subsoil. In turn, these changes of soil properties influenced soil P sorption capacity. The P sorption maximum （Smax） was affected by land use types, soil sampling depth and their interactions （P 〈 0.0001）. For surface soil, Smax was in the order of Rice （1 380 mg kg-1） 〉 VFCL （1 154 mg kg-1） 〉 VFCS2 （897 mg kg-1） 〉 VFCS1 （845 mg kg-1） 〉 Vegetable （747 mg kg-1）. The lowest Sm^x generally occurred at the surface （except for Rice at 80-100 cm） and increased with depth. The amount of P desorbed during the 8 successive extractions was in the range 23%-44% of sorbed P, and was not affected by land use types or sampling depths. The decreases in Smax suggested that soil P sorption capacity decreased when rice-legume production converted to more intensive vegetation and flower production and caution should be exercised when applying P fertilizer to minimize potential leaching and runoff P loss to the environment.

Soil nitrogen availability intensifies negative density-dependent effects in a subtropical forest

Aims The importance of density-dependent mortality in maintaining tree species diversity is widely accepted.However,density-dependent effects may vary in magnitude and direction with different abiotic conditions in forests.Theoretical predictions surmise that density-dependent effects may vary with soil available nitrogen(AN),but this still needs to be tested.Methods We analyzed the density-dependent effects on survival of newly germinated seedlings for 18 common species based on a long-term seedling census across environmental gradients in a subtropical forest.We also conducted a root lesion detection experiment for five species to investigate the potential effects of pathogens on variation in density-dependent disease between rich and poor AN environments.Important Findings The seedling dynamics analysis revealed that the strength of density-dependent effects increased with AN,shifting from neutral or positive with low AN to negative with high AN.Three of the five tree species had stronger density-dependent effects on root lesions in rich AN environments than in poor AN environments,which is consistent with the results of a long-term seedling dynamics analysis.We also found higher species diversity in rich AN environments,which may be promoted by the stronger negative density-dependent effects.Both the seedling dynamic analysis and root lesion detection experiment revealed stronger negative density-dependent effects in higher AN environment,resulting from stronger disease pressure by soil pathogens.Our study emphasized the importance of considering context dependence when testing the density dependence hypotheses.