邵阳县塘田市镇土地整理区烟田土壤肥力特征

土壤养分状况直接影响作物的产量高低和品质优劣,土地整理导致土壤养分变异和肥力退化。研究了邵阳县塘田市镇土地整理对烟田土壤肥力的影响。结果表明:塘田市镇土地整理区耕作层的干扰土壤强酸性、有机质缺乏,低含量水平碱解氮、高含量水平有效磷及低含量水平速效钾的土壤所占比例较大。存在的问题在于耕作层土壤p H值偏低,酸化明显;土壤养分适宜性调控空间大。     

广西鹿寨县耕地质量等别调查与评价

以鹿寨县为列,介绍了广西自治区县级耕地质量等别评价方法,详细分析了耕地质量等别评价结果,揭示了鹿寨县耕地质量等别结构和空间分布规律。     

基于CA-Markov模型的甘州区土地利用变化预测分析

研究以张掖市甘州区为例,以黑河流域2000年和张掖市2007年土地利用/土地覆盖(LUCC)数据集的矢量数据、2014年Landsat 8 OLI_TIRS 8月份遥感影像和Google Earth影像为数据源,以Arc GIS10.1、ENVI 4.8和IDRISI 17.00为计算平台,利用CA-Markov模型对2014年土地利用变化进行模拟和预测,并将预测结果与2014年甘州区LUCC解译数据作对比分析,其Kappa系数为87.87%,表明预测与现实一致性较佳。最后对2021年甘州区土地利用分类进行模拟和预测。从预测结果可以看出:2000—2021年间甘州区耕地面积和建设用地面积呈现较快的增长趋势,未利用地面积呈现较快的减少趋势;林地和水域呈现缓慢地增长趋势;草地面积变化较小。简要分析了其变化原因主要归因于政策、社会经济、人口和科学技术几方面。对2021年甘州区土地利用变化的预测研究结果可为该区土地利用合理规划管理及经济发展政策的制定提供科学的决策依据。     

乡村振兴的难点及对策分析

乡村振兴是我国新时代意义长远的全局性事业，面临诸多难点，需综合施策，促进乡村持续兴旺发展。建议通过改善乡村人居条件，打破非农居民下乡定居政策壁垒，破解活力人口流失难点；不拘一格组建村班子，解决村支“两委”战斗力不强难点；发挥村骨干作用，公开透明处理乡村事务，融洽干群关系，解决干群疏离难点；以保障农民权益为出发点协调农民流转意愿，解决土地统一流转难点；政策引导，推动资源按市场规律下乡，解决资源下乡难点。     

村庄空心化背景下的农村居民点空间布局重构研究

农村居民点空间布局重构对于指导区域农村居民点整理规划、实现土地可持续发展具有重要意义。笔者以黑龙江省明水县明水镇为研究区,通过计算研究区空心化程度、农村居民点整理的重要性指数、迫切性指数、整理时序指数,对农村居民点的整理时序进行划分,提出农村居民点的整理迁移方案。研究结果表明:研究区各村屯农村居民点空心化现象明显,向阳村张奎英屯空心化率最高;在空心化趋势预测结果中,规划近期城北村空心化增强趋势变化最明显,规划中期互助村空心化增强趋势变化最明显,规划远期向阳村空心化增强趋势变化最明显;在农村居民点整理时序上,保留农居点占总数的35.29%,近期整理农居点占总数的9.8%,中期整理农居点占总数的23.53%,远期整理农居点占总数的31.37%。最后提出合理的整理迁移方案,研究成果为指导县域农村居民点整理规划提供参考和科学依据。     

江西省耕地土壤pH值和养分状况调查

按中国第二次土壤普查推荐的土壤养分和pH值的分级标准，对2014年江西省5个不同区域(赣南、赣北、赣中、赣西、赣东北)的94个县(市)具有代表性的4 188个耕地土壤的养分和pH值的测定数据进行比较分析，探明江西省耕地土壤养分及pH状况。结果表明：江西省耕地土壤pH值平均为5.3，偏酸性；赣南、赣北耕地土壤有机质质量分数均值分别为28.5、25.8 g/kg，属中等水平，而赣中、赣西和赣东北土壤有机质质量分数均值分别为31.9、33.9、31.1 g/kg，属较丰富水平；赣南土壤碱解氮质量分数均值为144.4 mg/kg，属较丰富水平，其他4个区域的均值均高于150 mg/kg，属丰富水平；赣南、赣中土壤有效磷质量分数均值分别为21.8、21.6 mg/kg，属较丰富水平，其他3个区域的属中等水平；5个区域土壤速效钾质量分数均值均在50～100 mg/kg，属较缺乏水平。可见，江西省耕地土壤酸化严重，养分极不平衡。     

建设用地集约利用评价指标的权重确定方法研究

基于建设用地集约利用评价指标,应用文献统计法和综合分析法,阐述了中国建设用地及建设用地集约利用评价指标权重赋权方法的现状,着重研究了各种权重确定方法在建设用地集约评价中的实践应用,并对其进行总结和讨论,探讨了建设用地集约利用评价指标权重确定方法的发展趋势.     

Land surface temperature retrieval for arid regions based on Landsat-8 TIRS data:a case study in Shihezi,Northwest China

Scientific interest in geophysical information about land surface temperature （LST） is ever increasing, as such information provides a base for a large number of applications, including environmental and agricultural monitoring. Therefore, the research of LST retrieval has become a hot topic. Recent availability of Landsat-8 satel- lite imagery provides a new data source for LST retrieval. Hence, exploring an adaptive method with reliable ac- curacy seems to be essential. In this study, basing on features of Landsat-8 TIRS thermal infrared channels, we re-calculated parameters in the atmospheric transmittance empirical models of the existing split-window algorithm, and estimated the ground emissivity with the help of the land cover classification map of the study area. Further- more, a split-window algorithm was rebuilt by virtual of the estimation model of the updated atmospheric transmit- tance and the ground emissivity, and then a remote sensing retrieval for the LST of Shihezi city in Xinjiang Uygur autonomous region of Northwest China was conducted on the basis of this modified algorithm. Finally, precision validation of the new model was implemented by using the MODIS LST products. The results showed that the LST retrieval from Landsat-8 TIRS data based on our algorithm has a higher credibility, and the retrieved LST is more consistent with the MODIS LST products. This indicated that the modified algorithm is suitable for retrieving LST with competitive accuracy. With higher resolutions, Landsat-8 TIRS data may provide more accurate observation for LST retrieval.     

Monitoring desertification processes in Mongolian Plateau using MODIS tasseled cap transformation and TGSI time series

Most remote sensing studies assess the desertification using vegetation monitoring method. But it has the insufficient precision of vegetation monitoring for the limited vegetation cover of the desertification region. Therefore, it offers an alternative approach for the desertification research to assess sand dune and sandy land change using remote sensing in the desertification region. In this study, the indices derived from the well-known tasseled cap transformation(TCT), tasseled cap angle(TCA),disturbance index(DI), process indicator(PI), and topsoil grain size index(TGSI) were integrated to monitor and assess the desertification at the thirteen study sites including sand dunes and sandy lands distributed in the Mongolian Plateau(MP) from 2000 to 2015. A decision tree was used to classify the desertification on a regional scale. The average overall accuracy of 2000, 2005, 2010 and 2015 desertification classification was higher than 90%. Results from this study indicated that integration of the advantages of TCA, DI and TGSI could better assess the desertification. During the last 16 years, Badain Jaran Desert, Tengger Desert, and Ulan Buh Desert showed a relative stabilization. Otindag Sandy Land and the deserts of Khar Nuur, Ereen Nuur, Tsagan Nuur, Khongoryn Els, Hobq, and Mu Us showed a slow increasing of desertification, whereas Bayan Gobi, Horqin and Hulun Buir sandy lands showed a slow decreasing of desertification. Compared with the other 11 sites, the fine sand dunes occupied the majority of the Tengger Desert, and the coarse sandy land occupied the majority of the Horqin Sandy Land. Our findings on a three or four years' periodical fluctuated changes in the desertification may possibly reflect changing precipitation and soil moisture in the MP. Further work to link the TCA, DI,TGSI, and PI values with the desertification characteristics is recommended to set the thresholds and improve the assessment accuracy with field investigation.     

中国农耕区土壤有机质含量及其与酸碱度和容重关系

对我国农耕区土壤有机质区域变化及其与酸碱度和容重关系进行系统分析，为耕地地力提升和改善土壤结构提供支撑。基于国家级耕地长期定位监测点913个，统计分析全国及7大区域（东北NE、华北NC、西北NW、长江中游MYR、长三角YRD、华南SC、西南SW）耕层土壤有机质含量、酸碱度及容重变化特征。结果表明，全国农耕区耕层土壤有机质含量平均值为22.4~24.8 g/kg。其中有机质含量中等偏低的监测点位占比达72.5%。不同区域耕层土壤有机质含量差异显著（p<0.05），MYR耕层土壤有机质含量显著高于其他6个区域。全国农耕区耕层土壤pH和容重平均分别为（6.90±1.20），（1.30±0.15） g/cm³。不同土壤利用方式对土壤有机质、酸碱度及容重产生影响。水田耕层土壤有机质含量显著高于旱地，旱地耕层土壤pH和容重则显著高于水田。亚当斯方程和指数函数分别推荐拟合土壤容重对有机质含量响应关系（R²=0.09，RMSE=0.17，n=759），以及土壤pH对土壤有机质含量响应（R²=0.16，RMSE=1.24，n=886）。全国农耕区耕层土壤有机质含量总体中等偏低，呈现出东南向西北依次降低趋势。土壤pH及容重与土壤有机质呈现显著的负相关关系。亚当斯模型及指数方程能较好地拟合土壤容重及pH对有机质的响应关系，可用于非线性插值法补充土壤容重及pH缺失值。