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.     

京津冀花椰菜产业现状、发展趋势及对策建议

针对我国花椰菜产业不断发展壮大、种植面积不断扩大,尤其是松花菜的种植面积和市场占有率迅速增长的情况,从种植情况、种子研发企业和松花菜栽培情况3大部分展开,介绍了京津冀地区花椰菜产业的发展现状,列举了京津冀地区花椰菜品种品质、育种技术及商品物流方面存在的问题,并提出了发展趋势及应对策略,如加强优质、多抗、适应性强的花椰菜新品种选育,重视花椰菜现代育种技术的创新,加强育种技术的交流与合作,培育龙头企业,加大品牌宣传力度,推进京津冀花椰菜产业发展进程。     

京津冀潮白河区域土地利用变化对生态系统服务的影响

为探讨京津冀潮白河区域不同时期内的土地利用变化和生态系统服务（ES）的动态演变情况，采用土地利用动态度模型、当量因子法、敏感性指数法，分析该区域2001、2005、2009、2013年和2017年近20年来的土地利用数据。结果表明：在2001-2017年期间该区域耕地和农村居民点面积明显减少，城镇用地和水域面积明显增加；该区域的主要土地利用类型为耕地、农村居民点和城镇用地，且耕地和农村居民点的比例逐渐减少，城镇用地比例逐渐增大；城镇用地、工矿用地和水域的动态度呈现大幅增加趋势，农村居民点、耕地、草地和林地的动态度呈现较大幅的减少趋势。近20年来该区域的生态系统服务价值（ESV）整体上呈现增加的趋势，水域的生态系统服务价值增加对该流域生态系统服务价值变化起决定性作用。2001-2017年该区域内各地类的敏感性指数（CS）均小于1，敏感性指数从大到小依次为耕地 > 水域 > 林地 > 草地。综上，应根据该区域内土地利用变化对生态系统服务产生的影响，制定合理化政策、构建合理的土地利用格局，从而提升生态系统服务。     

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。     

高校科研合作网络及演化研究——以京津冀地区211及省部共建高校为例

[目的/意义]京津冀协同发展是党中央作出的重大战略决策,科研合作是京津冀协同创新发展的重要方面。[方法/过程]笔者基于CNKI检索京津冀地区211及省部共建的26所高校在2008年—2017年发表的合著论文数,运用定量分析、社会网络分析方法,借助Ucinet绘制科研合作网络图谱,从而探讨京津冀地区高校科研合作网络现状及演化规律。[结果/结论]研究结果发现,高校科研实力强劲是形成科研合作的基础,清华大学、北京大学、中国人民大学、北京师范大学、北京科技大学、北京航空航天大学和北京交通大学在科研合作网络中处于核心地位;地域聚集特性是影响科研合作关系强弱的主要因素;各类大学归属于不同的块模型,占据不同位置和角色,具有不同的结构功能和作用;京津冀地区高校科研合作经过10年间的发展,已经形成一个动态演化的网络。     

1957-2017年京津冀主要作物水分利用效率及节水潜力分析

水资源短缺以及农业用水效率不高制约着京津冀一体化国家战略的实施。【目的】提高主要作物水分利用效率,缓解京津冀地区农业水资源矛盾。【方法】基于FAO推荐的Penman-Monteith公式及有效降水计算公式估算了1957-2017年京津冀地区冬小麦、夏玉米的耗水量及水分利用效率以及冬小麦、夏玉米的节水潜力。【结果】冬小麦、夏玉米水分利用效率呈逐年线性增长趋势。冬小麦、夏玉米水分利用效率仍有20%~30%的提升空间,在产量不变的前提下,京津冀地区可节约水量43.6亿~60.4亿m^3。冬小麦节水潜力高于夏玉米。【结论】可通过改善土壤条件,优化灌溉管理以及秸秆覆盖等措施提高冬小麦及夏玉米的水分利用效率。     

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。     

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.