基于DEM-GRA的岩溶区火龙果等土宜的研究

根据因地制宜的规划种植之理念,以GIS为技术平台,建立了数字高程模型(DEM),并运用灰色关联分析(GRA),对天等县峰丛洼地区仍屯基地的六个样地火龙果的土宜条件进行了综合分析。结果表明,坡度较缓、山影量小、坡麓土层较厚的后山2(样地2)、边界山4(样地4)和狭岭6(样地6)为火龙果种植的极度适宜土地,而土层较薄、山影量大的边界山(样地3)适宜性最差,坡度偏大、其它条件均适宜的后山1(样地1)和山影量偏大、其它条件均适宜的狭岭5(样地5)介于中间,为高度适宜土地。在样地2、样地4和样地6中,由于样地2与火龙果种植环境条件的关联度大于样地4、样地6,所以其土宜条件更好,最适宜火龙果种植。在此基础上,把土宜评价的方法拓宽于石漠化治理的布局设计,在团乐、独山、小山等小流域的封山育林区选择出最适宜的地段进行了人工补植,补植树苗成活率均在85%以上,且长势较好。

中国土地适宜性评价研究进展

长期以来,土地适宜性评价一直在土地规划利用中起着基础性作用。近十几年,农业土地适宜性评价持续深入开展,城市用地、旅游用地、土地整理复垦以及其他用地的土地适宜性评价日渐增多;基于此,土地适宜性评价的理论思想得到了进一步的丰富,景观生态学被引入土地适宜性评价,可持续利用观深入人心;土地适宜性评价在方法上也有新的发展,GIS在土地适宜性评价中得到广泛的应用,这使得土地适宜性评价更为灵活、科学。

试论现代土宜科学与地区名优农产品开发

为了促进我国农业结构调整而发展适于该地区的名优农(畜)产品的需要,首先从地区名优农(畜)产品形成的生态条件分析,进而将我国原传统的土壤适宜性概念拓展到现代的土地适宜性,称之为现代土宜。并提出了“现代土宜科学是研究地区名优农(畜)产品经济生物学性状的生理及其阶段发育对土地生态要求和相应管理措施的应用技术学科”的定义。其次将名优农(畜)产品的经济生物学性状的生态要求采用了地理性的多层阶分级与分区方法,从宏观气候带的一般生境适宜(SE4)到区域气候和土壤性状的品质特优适宜(SE1)和灾害或土壤特性不适宜(SE0)等的名优农(畜)产品土地适宜评级(SE)的5级制,使名优产品的土地适宜性评级开始有了有序的理论阐述及可行性框架,并以我国名产的燕山板栗、四川和三峡的柑桔进行了实例定性评价,由于它系统采用土壤地理的逐阶接近法的方法论而明显有别于FAO的土地适宜性评价(S)框架。最后本文简要介绍了用于名优农(畜)产品开发的土宜性调查与土宜性土地利用规划的工作方法与原则,以加强现代土宜科学在提高地区农(畜)产品质量为中心的农业结构调整的工作速度与科学基础。

Study on Land Suitability Evaluation in the northern China Crop-pasture Band

Basing on the limiting factor method and Composite Index method,for the northern China crop-pasture band,the authors established the system of evaluation index,and abstracted the dominant factor,then through applying expert grade and weighing way the suitability of grids are evaluated,the results showed that：without the input of a large number of cash,most of the area was not suitable for farming,and more appropriate area for farming was only 8.45% of total area,mainly located in the southeast and southwest of the study area,followed by the study area in the northeast,areas that was not suitable for farming mainly in the middle of the east,large areas of central and western regions.

Ecological Suitability Evaluation on Agricultural Land in Western Jilin Province Based on Fuzzy Mathematics

[Objective] This study was to evaluate the ecological suitability of agricultural land in western Jilin Province, with the aim to provide basis for the effective application of agricultural resources and the structural adjustment of land use. [Method] The evaluation index system was constructed based on fuzzy mathematic method according to the principles of systematic, dominant, effectiveness and feasibility; based on law of tolerance, reasonable evaluation criteria were determined according to the ecological amplitude of crops; based on GIS processing, the initial data completed the mathematical operation by using the VBA program in Excel. [Result] The area of agricultural land grade I was 5 512 km2, grade II of 25 985 km2, grade Ill of 7 907 km2, and area of land not suitable for agriculture was 6 312 km2. According to the evaluation results, the key areas for land use adjustment were Zhenlai County, Da＇an County, Tongyu County and western Changling County. The directions of land use adjustment included improving irrigation and drainage conditions, governing land salinization and conversion of cropland to forest and grassland. [Conclusion] This study provided basis for the effective application of agricultural resources and ecological environment construction in western Jilin Province.

Ecological suitability evaluation for urban growth boundary in red soil hilly areas based on fuzzy theory

The fuzziness exists in spatial distribution of geographic data of land suitability evaluation processes,which makes it difficult to quantify land boundaries by using traditional binary logic-based overlay model.Aiming at this limitation,an ecological suitability evaluation analysis model was presented based on fuzzy theory and a research on urban growth boundary(UGB) of the Great-Hexi Leading District(GHLD) of Changsha was conducted.With the support of GIS,RS and MATLAB,slope,elevation,vegetation,soil productivity,soil permeability,water body and land use are selected as the input of model according to the characteristic properties of soil and terrain in red soil hilly areas.The running result of this model indicates that the ratios of highly suitable land,suitable land,moderately suitable land and unsuitable land in GHLD are 18.75%,10.31%,64.16%,6.78%,respectively.This result accords with spatial structure worked out by Space Development Strategy Planning of GHLD,Based on this result,several suggestions are made to guide UGB developments in future.

Evaluation of Soil Fertility Suitability of Yiliang Tobacco-growing Areas in Yunnan Province

[Objective]This study was conducted to evaluate the soil fertility in Yiliantobacco-growing areas of Hunan Province.[Method]The soil nutrient contents iseven tobacco-growing towns of Yiliang County,Yunnan Province were surveyefrom 2010 to 2013 and integrated soil fertility index（SFI value）was calculated tanalyze the soil fertility suitability in theses areas.[Result]The soil p H,contents oorganic matter,hydrolytic N,rapidly available K and available B were all at an appropriate level,while the contents of rapidly available P,available Mg,available Zand water-soluble Cl-were high.Among them,the contents of available P and water-soluble Cl-had great variation.Finally,the soil fertility suitability of Yiliang tobacco-growing areas was graded based on their SFI values.As a result,20%of thestobacco-growing areas were in Grade I,47.7%in Grade II,29.3%in Grade III1.5%in Grade IV and 1.5%in Grade V.The average SFI was 0.61.From 2010 t2013,the p H value and available Mg content reduced year by year,while the contents of organic matter,hydrolytic N,rapidly available P,rapidly available K,available Zn,available B and water-soluble Cl-were increased.

Assessing Suitability of Rural Settlements Using an Improved Technique for Order Preference by Similarity to Ideal Solution

Land suitability assessment is a prerequisite phase in land use planning; it guides toward optimal land use by providing information on the opportunities and constraints involved in the use of a given land area. A geographic information system-based procedure, known as rural settlement suitability evaluation(RSSE) using an improved technique for order preference by similarity to ideal solution(TOPSIS), was adopted to determine the most suitable area for constructing rural settlements in different geographical locations. Given the distribution and independence of rural settlements, a distinctive evaluation criteria system that differed from that of urban suitability was established by considering the level of rural infrastructure services as well as living and working conditions. The unpredictable mutual interference among evaluation factors has been found in practical works. An improved TOPSIS using Mahalanobis distance was applied to solve the unpredictable correlation among the criteria in a suitability evaluation. Uncertainty and sensitivity analyses obtained via Monte Carlo simulation were performed to examine the robustness of the model. Daye, a resource-based city with rapid economic development, unsatisfied rural development, and geological environmental problems caused by mining, was used as a case study. Results indicate the following findings: 1) The RSSE model using the improved TOPSIS can assess the suitability of rural settlements, and the suitability maps generated using the improved TOPSIS have higher information density than those generated using traditional TOPSIS. The robustness of the model is improved, and the uncertainty is reduced in the suitability results. 2) Highly suitable land is mainly distributed in the northeast of the study area, and the majority of which is cultivated land, thereby leading to tremendous pressure on the loss of cultivated land. 3) Lastly, 12.54% of the constructive expansion permitted zone and 8.36% of the constructive expansion conditionally permitted zone are situated in an unsuitable area, which indicates that the general planning of Daye lacks the necessary verification of suitability evaluation. Guidance is provided on the development strategy of rural settlement patches to support decision making in general land use planning.

Agricultural Land Use Optimal Allocation System in Developing Area:Application to Yili Watershed, Xinjiang Region

In developing countries, land productivity involves little market, where the agricultural land use is mainly determined by the food demands as well as the land suitability. The land use pattern will not ensure everywhere enough land for certain cropping if spatial allocation just according to land use suitability. To solve this problem, a subzone and a pre-allocation for each land use are added in spatial allocation module, and land use suitability and area optimi- zation module are incorporated to constitute a whole agricultural land use optimal allocation （ALUOA） system. The system is developed on the platform .Net 2005 using ArcGIS Engine （version 9.2） and C# language, and is tested and validated in Yili watershed of Xinjiang Region on the newly reclaimed area. In the case study, with the help of soil data obtained from 69 points sampled in the fieldwork in 2008, main river data supplied by the Department of Water Resources of Xinjiang Uygur Autonomous Region in China, and temperature data provided by Data Center for Resources and Environmental Sciences, Chinese Academy of Sciences, land use suitability on eight common crops are evaluated one by one using linear weighted summation method in the land use suitability model. The linear pro- gramming （LP） model in area optimization model succeeds to give out land area target of each crop under three scenarios. At last, the land use targets are allotted in space both with a six subzone file and without a subzone file. The resuits show that the land use maps with a subzone not only ensure every part has enough land for every crop, but also gives a more fragmental land use pattern, with about 87.99% and 135.92% more patches than the one without, while at the expense of loss between 15.30% and 19.53% in the overall suitability at the same time.

Expert System Land Evaluation for Oil Palm Cultivation （ESLEOP）

Land evaluation assesses the suitability of land for specified land uses. The FAO Framework for Land Evaluation provides guidance for land suitability assessment. An Expert System Land Evaluation for Oil Palm Cultivation （ESLEOP） software was developed using climate, land qualities and land characteristics as diagnostic criteria in order to speed up the process of land assessment for oil palm cultivation in tropical regions. The results showed that ESLEOP evaluated land suitability for oil palm cultivation faster than the conventional method.

Land Suitability Assessment and Landuse Planning： A Prerequisite for Food Security and Climate Change Adaptation

Though Ghana＇s crop yield growth rate was at 17%, 5% of every 1.2 million Ghanaians have insufficient and limited access to nutritious food. Climate change and climate variability have enormously affected the state of agricultural productivity and hence could result in food insecurity. As many ongoing projects use Boolean suitability analysis, land use planning, management recommendations sores, it still remains inadequate to support rural resource poor farmers. This then, is affecting livelihood and agricultural productivity. In this paper, a geostatistical quantitative method to support a geographic information system （GIS） based on multi-criteria decision support system （GMCDSS） for an enhanced land suitability assessment （LSA） and landuse planning （LP） was devised. Project findings indicated that, recommended farm inputs could be estimated and applied accordingly at farm plot levels Soil amendment indicators （e.g., 1.0 t/ha lime ＋ 1.0 t/ha gypsum was estimated for liming） was quantified and currently, farmers can save money in soil fertility management. It has shown that, instead of applying 5.0 t/ha poultry manure （PM） or five bags of N-P-K fertilizer （rate of 15： 15： 15 N-P2O5-K2O/ha） ＋ two bags of sulphate of ammonia （SA）, a farmer may apply 2.0 t/ha PM ＋ two bags 15：15：15 N-P2O5-K2O/ha ＋ one bag of SA. GMCDSS assessment has proved to be fundamental in： （1） urban planning; （2） ensuring food security; （3） poverty reduction and interventions to the effects of climate change and climate variability.

Qualitative Land Suitability Evaluation for Main Irrigated Crops in the Shahrekord Plain, Iran: A Geostatistical Approach Compared with Conventional Method

The purity of soil map units and their quality for various uses like land suitability evaluation are always questioned.The main objective of this study was to compare the precision of qualitative land suitability classification based on geostatistical and conventional soil mapping methods for main irrigated crops in the Shahrekord Plain,Central Iran.A regular grid sampling method consisting 104sample points was designed and soil samples were collected.Ordinary kriged maps were achieved for all studied soil attributes after physico-chemical analyses.Afterward,to combine kriged maps and ecological requirements of the studied crops,a script was designed in ILWIS 3.4 software and consequently,kriged qualitative land suitability maps were generated.Conventional qualitative land suitability was also mapped based on the representative pedon analysis in each soil map unit.Finally,comparison of the conventional and kriged maps was carried out using the statistical method,error matrix.The results showed that the overall accuracies of wheat,sugar beet,potato and alfalfa maps were 39.8%,24.3%,18.7%and 18.6%at subclass category,respectively,whereas these values increased to80.9%,82.3%,23.7%and 82.3%at class level,respectively.Hence,it can be stated that thanks to the relative facility of conventional soil survey compared with geostatistical methods,this method can be expressed as a preferable way for handling a usual land suitability evaluation design;but using soil map units as land suitability delineations may lead to unsatisfactory results in estimation of quantity and type of existing limitations.