基于森林公园的新疆森林康养旅游资源空间分布及影响因素分析

基于新疆65个森林公园,以平均最邻近指数、变异系数、地理集中指数和基尼系数等对其空间分布和影响因素进行分析。结果表明,新疆森林公园分布类型为集聚性分布,且具有“北密南疏”的特点;其空间分布在省际空间范围内呈非均衡的集中分布,且分布均匀度较大;森林公园的分布与人口密度、交通通达度及经济发展水平重合度较低,与水资源分布重合度较高,具有一定配比性;部分公园周边景区及林果资源丰富。     

Assessing the effects of vegetation and precipitation on soil erosion in the Three-River Headwaters Region of the Qinghai-Tibet Plateau,China

Soil erosion in the Three-River Headwaters Region (TRHR) of the Qinghai-Tibet Plateau in China has a significant impact on local economic development and ecological environment. Vegetation and precipitation are considered to be the main factors for the variation in soil erosion. However, it is a big challenge to analyze the impacts of precipitation and vegetation respectively as well as their combined effects on soil erosion from the pixel scale. To assess the influences of vegetation and precipitation on the variation of soil erosion from 2005 to 2015, we employed the Revised Universal Soil Loss Equation (RUSLE) model to evaluate soil erosion in the TRHR, and then developed a method using the Logarithmic Mean Divisia Index model (LMDI) which can exponentially decompose the influencing factors, to calculate the contribution values of the vegetation cover factor (C factor) and the rainfall erosivity factor (R factor) to the variation of soil erosion from the pixel scale. In general, soil erosion in the TRHR was alleviated from 2005 to 2015, of which about 54.95% of the area where soil erosion decreased was caused by the combined effects of the C factor and the R factor, and 41.31% was caused by the change in the R factor. There were relatively few areas with increased soil erosion modulus, of which 64.10% of the area where soil erosion increased was caused by the change in the C factor, and 23.88% was caused by the combined effects of the C factor and the R factor. Therefore, the combined effects of the C factor and the R factor were regarded as the main driving force for the decrease of soil erosion, while the C factor was the dominant factor for the increase of soil erosion. The area with decreased soil erosion caused by the C factor (12.10×10³ km²) was larger than the area with increased soil erosion caused by the C factor (8.30×10³ km²), which indicated that vegetation had a positive effect on soil erosion. This study generally put forward a new method for quantitative assessment of the impacts of the influencing factors on soil erosion, and also provided a scientific basis for the regional control of soil erosion.     

土壤游离氧化铁高光谱特征与定量反演

【目的】建立基于可见-近红外光谱的土壤游离铁精确预测模型,简单、快速、经济地预测土壤游离铁,有助于研究土壤发生和分类。【方法】采集广西壮族自治区的铁铝土、富铁土、淋溶土和雏形土等82个旱地土壤剖面的B层土壤,进行室内土壤化学分析、光谱测定,分析不同光谱变换后的光谱反射率与土壤游离铁含量的相关性。基于特征波段利用偏最小二乘回归(PLSR)和逐步多元线性回归(SMLR)法建立土壤游离铁含量光谱预测模型,通过决定系数(R2)、均方根误差(RMSE)和相对预测偏差(PRD)确定最优模型。【结果】土壤光谱曲线分别在457、800和900 nm波段附近有明显的游离铁吸收和反射峰特征;土壤游离铁含量与原始光谱反射率呈负相关;原始光谱经过微分变换后,游离铁含量与光谱反射率相关性显著提高;基于400～580和760～1 300 nm特征波段和一阶微分光谱变换的SMLR模型预测精度最高,其验证集的R2和RPD分别为0.85和2.62,RMSE为8.41 g·kg~(-1)。【结论】将可见近红外光谱技术应用于土壤游离铁含量高效快速地预测具有良好的可行性。广西旱地土壤光谱反射率与土壤游离铁含量具有高度的相关性,应用逐步多元线性回归方法可以很好地建立土壤游离铁含量反演模型。     

广西田园综合体的建设现状和发展建议

文章通过对田园综合体的概念进行介绍，找出广西田园综合体发展情况和存在的问题，最后 提出解决广西田园综合体存在问题的对策和建议，从而促进广西农业的快速发展，带动当地经济稳步 提升。     

广西西北喀斯特不同植被不同土层的土壤颗粒有机质

以广西西北喀斯特地区不同植被(草丛、灌丛、原生林)生态系统表层(0～10 cm)及深层(70～100 cm)土壤为研究对象,采用热裂解–气相–质谱(Pyr–TMAH–GC/MS)技术,研究不同植被表层与深层土壤颗粒有机质(POM)的变化特征。结果表明:表层土壤的pH值、有机碳、总氮、总磷、碱解氮、速效磷和速效钾含量均随植被的正向演替呈上升趋势;草丛表层土壤的有机碳、总磷和碱解氮含量均显著高于深层土壤的(P0.05);灌丛表层土壤的有机碳、总氮、总磷、碱解氮、速效磷和速效钾含量均显著高于深层土壤的(P0.05),灌丛表层土壤的pH值和总钾含量显著低于深层土壤的(P0.05);原生林表层土壤的总磷、速效磷和速效钾含量显著高于深层土壤的(P0.05);随着植被的正向演替,土壤POM总量呈增加趋势,表层土壤POM总量显著高于深层土壤的;土壤POM热裂解产物类型主要有木质素类、酚类、芳烃、多环芳烃及脂类化合物,木质素类化合物仅存在于表层土壤,稠环芳烃(此处指除萘和茚外的多环芳烃)占比则随植被的正向演替呈下降趋势;植被显著影响POM总量和POM热裂解产物中对羟基苯基、稠环芳烃、脂肪酸、正构烯烃、萘、氰的占比,土层深度显著影响POM总量和POM热裂解产物中对羟基苯基、愈创木基、丁香酚基、茚、脂肪酸、酮、苯、烷基苯、酚类和氰的占比,植被与土层的交互作用显著影响POM热裂解产物中对羟基苯基、萜烯和脂肪酸的占比;POM总量与有机碳、总氮、总磷、碱解氮、速效钾和速效磷含量呈显著正相关,与容重和总钾含量呈显著负相关,稠环芳烃与有机碳、总氮、总磷、碱解氮、速效磷和速效钾含量呈显著负相关,且碱解氮和pH值显著影响POM化合物组成。可见,在喀斯特地区,土壤POM含量能反映土壤中潜在活性养分含量,可作为喀斯特地区评价不同植被恢复对土壤有机质库及土壤质量动态变化影响的敏感指标。     

黄土丘陵区坡面薄层水流动力学特性及其对土壤侵蚀的影响

为奠定基于运动力学参数构建土壤侵蚀模型的理论基础,通过不同降雨强度(25、50和75 mm/h)、不同坡长(1、5、10、15和20 m)下径流小区内人工模拟降雨试验,对不同处理下坡面薄层水动力学特性进行分析,并对水动力学参数与土壤侵蚀之间的关系进行初步探讨。结果表明:当坡度一定时,坡面平均流速主要受坡长及单宽流量影响,降雨强度通过影响单宽流量的大小间接影响坡面平均流速;在试验设计范围内,当坡长1 m时,整体上呈"层流-急流态",当坡长为1 m时,整体上呈"层流-缓流态";当降雨强度一定时,雷诺数随着坡长的增加线性增加,佛汝德数随着坡长的增加以幂函数形式增加;降雨强度对坡面流有明显的"增阻"效应;坡面阻力系数随着坡长的增加呈幂函数减小趋势;坡面平均土壤侵蚀率与单宽流量间呈一元线性趋势增加,与水流平均流速间呈指数函数增加,与雷诺数间呈二次函数增加。     

基于Google Earth Engine平台的关中冬小麦面积时空变化监测

以关中地区为研究区,基于Google Earth Engine(GEE)平台,根据冬小麦生育期内归一化植被指数(NDVI)时序曲线和物候特征,采用NDVI重构增幅算法和光谱突变斜率,构建了关中地区冬小麦提取模型并实现了冬小麦种植面积的提取。用农业统计面积验证提取结果表明:在市级和县级尺度上,决定系数R~2分别为0.82和0.62,一致性指标d分别为0.95和0.84,提取结果与实地调查数据的空间一致性精度为93.4%。结果显示:关中地区冬小麦主要分布在中部关中平原,冬小麦种植面积在2011—2017年呈下降趋势,减少了83.22×10~3 hm~2(8.47%)。综合考虑冬小麦NDVI时序曲线的"峰""谷"特征,具有一定的普适性,可为大面积连续年份冬小麦种植面积时空监测提供参考。     

河套地区种植方式与密度对'张杂谷19号'产量的影响

为明确河套地区不同栽培模式对'张杂谷19号'产量的影响,以新抗旱谷子杂交种'张杂谷19号'为试验材料,研究3种种植方式（干旱无膜、干旱覆膜及灌溉无膜）和5种密度（4.5万、9万、13.5万、22.5万、45万株/hm²）对'张杂谷19号'稳产和丰产性的影响。结果表明,正常灌溉条件下,'张杂谷9号'的产量随着种植密度的增加而增加。当密度为45万株/hm²时产量最高,达到8724.36 kg/hm²。而干旱条件下,适宜种植密度可以同样获得较高产量,与正常灌溉条件下最高产量差异不显著。当种植密度为9万~ 45万株/hm²时,产量普遍提高到7700 kg/hm²以上,最高可达8654.33 kg/hm²。河套地区'张杂谷19号'播前灌溉1次足水、地膜覆盖及种植密度9万~45万株/hm²,可以实现水分高效利用和产量达到较高水平。     

基于BP神经网络模型的桂西资源富集区土地生态安全评价

【目的】科学客观地进行土地生态安全评价,提出可行有效的土地生态系统优化对策,为桂西资源富集区土地生态安全的维护及未来发展提供参考。【方法】基于BP神经网络方法构建土地生态安全评价模型,通过分析影响土地生态系统的自然、经济、社会3个主导因素,建立桂西资源富集区土地生态安全评价指标系统,对2008—2017年桂西资源富集区土地生态安全程度进行评价。【结果】桂西资源富集区2008—2017年土地生态安全程度均属于一般安全状态,且由一般安全状态逐步接近较安全状态;其中百色市、河池市、崇左市分别在不同因素下的土地生态安全程度存在较大差异,且差异在逐年增大。【结论】为了避免桂西资源富集区土地生态安全系统存在发展失衡的倾向,建议桂西资源富集区政府优化营商环境,坚持"绿水青山就是金山银山";制定合理的耕地保护政策,缓解人地矛盾关系。     

Spatiotemporal changes in terrestrial water storage in the Beijing-Tianjin Sandstorm Source Region from GRACE satellites

The Sandstorm Source Control Project in and around the Beijing-Tianjin region was one of the most important ecological projects in China. Terrestrial water storage (TWS) has important impacts on the ecological construction, agriculture, industry, and resident’s lives. Based on the Gravity Recovery and Climate Experiment (GRACE) data, meteorological and Moderate Resolution Imaging Spectroradiometer (MODIS) data, etc., this paper analyzed spatiotemporal characteristics of TWS, groundwater storage, and precipitation, and explored the influencing factors of regional TWS combined with land use and land cover (LULC), social and economic data. The most important results were as follows: (1) From 2003 to 2016, TWS in the Beijing-Tianjin Sandstorm Source Region showed a decreasing trend with a rate of 3.14 mm yr⁻¹. (2) The TWS decline was caused mainly by groundwater overexploitation, but not precipitation variation. (3) Spatiotemporal variations of TWS were related to LULC. The area with the most serious decrease of TWS was mainly located in the southwestern part of the region, where farmland percentage and population density were greater. (4) Reducing the percent of farmland and tree planting, and adding the shrub and grass planting, could be a viable choice for the Beijing-Tianjin Sandstorm Source Control Project. These results provide a scientific basis for regional water resource and ecological management.