河套平原典型县域耕地土壤养分空间变异特征研究

为研究河套平原地区土壤养分状况,探究县域尺度土壤养分的空间变异性与分布特征,以杭锦后旗县域耕地为对象,采用实地调查和地统计学相结合的方法,研究该区耕层土壤有机质、全氮、有效磷、速效钾养分含量状况,分析土壤养分空间分布及其变异特征。结果表明,研究区耕层土壤有机质、全氮、速效磷和速效钾平均含量依次为13.90 g/kg、0.93 g/kg、16.25 mg/kg和170.79 mg/kg,土壤有机质和全氮处于缺乏状态,速效磷含量中等,而速效钾的含量较为丰富。从空间变异及相关性看,各土壤养分的变异程度都为中等变异,有机质和速效钾为中等相关性,全氮和有效磷均为弱相关性。从空间分布格局看,土壤有机质与全氮分布规律相近,呈现西北部高、东南部和东北部低的特点;土壤速效钾整体分布较为均衡;速效磷空间差异明显,呈东高西低格局。针对该地区土壤养分含量及分布规律,在进行养分管理过程中,应以控氮、稳磷、稳钾、全区规划与重点应对相结合的原则,坚持以有机肥为主、有机与无机相结合的施肥策略。对县域尺度耕地土壤养分状况的调查研究和统计分析,明晰了区域土壤养分空间分布特征及其与土地利用方式之间的关系,为河套平原耕地土壤养分管理、地力培育以及合理施肥运筹等提供科学依据。     

城市池塘水质时间变化特性--以扬州大学江阳路南校区池塘为例

城市中的池塘是城市水体的重要组成部分,为揭示城市化背景下池塘水体水质的时间变化特性,选取扬州大学江阳路南校区池塘为研究区,对该池塘2018年7月至2019年6月的水质参数蓝绿藻浓度(Phyco)、水温(WT)、溶解氧(DO)、pH与电导率(EC)进行观测,采用变异系数法、单因子水质标识指数法以及多元线性回归法对各参数的变化特性进行评价。结果显示:池塘WT呈季节性变化;观测期间pH变化范围为7.74~9.98,水体呈碱性;DO变化的随机性较强,未表现出明显变化规律;各水质参数变异性及权重从大到小依次为WT>DO>EC>pH;以DO为指标的单因子水质标识指数结果表明:池塘DO达到Ⅲ类水要求的时段占总观测时段的84%;多元线性回归分析结果表明:DO与WT、pH呈正相关,与Phyco呈负相关,Phyco及pH的变化对DO浓度的影响相对于WT大。     

鄱阳湖区反嘴鹬种群数量动态与空间分布格局

2002—2015年,采用同步调查法对鄱阳湖区反嘴鹬(Recurvirostra avosetta)越冬种群数量动态与空间分布格局进行了监测。结果表明:鄱阳湖区分布有稳定的反嘴鹬越冬种群,年平均数量为(16684±14653)只,2004年、2005年、2013年种群数量均超过目前其全球数量的10%,2004年冬季鄱阳湖区越冬反嘴鹬数量达到最大值,为47520只。鄱阳湖区共有70个湖泊记录到反嘴鹬,其中反嘴鹬种群数量达到全球1%以上的湖泊有20个。每年冬季鄱阳湖区反嘴鹬集中分布在常湖、蚌湖、花庙湖和下坝湖,而反嘴鹬利用频次最高的是大湖池,每年反嘴鹬的越冬数量为(1819±1593)只。各湖泊中反嘴鹬的年平均数量与利用频次之间不存在显著相关性。自然保护区涵盖了反嘴鹬在鄱阳湖越冬的主要湖泊,分布在保护区内的反嘴鹬种群占鄱阳湖区越冬总数量的(75.3±26.0)%,但仍有很多重要的湖泊没有被纳入到保护区范围。反嘴鹬对保护区内湖泊的利用频次与保护区外湖泊的利用频次不存在显著性差异,保护区内反嘴鹬的种群数量显著大于保护区外。     

Thresholds,sensitive stages and genetic variability of finger millet to high temperature stress

Finger millet [Eleusine coracana (L.) Gaertn.] is an important coarse cereal crop grown in the arid and semi‐arid regions and often experiences high temperature (HT) stress. The objectives of this research were (i) to quantify effects of season‐long HT stress on physiological and yield traits, (ii) to identify the developmental stages most sensitive to HT stress and (iii) to quantify the genetic variability for HT stress tolerance in finger millet. Research was conducted in controlled environment conditions. HT stress decreased the chlorophyll index, photosystem II activity, grain yield and harvest index. Maximum decrease in number of seeds per panicle and grain yield per plant was observed when stress was imposed during booting, panicle emergence or flowering stages. Maximum genotypic variation was explained by panicle width and number of seeds per panicle at optimum temperature (OT) and grain yield per plant at HT and number of seeds at HT. Based on the stress response and grain yield, tolerant or susceptible genotypes were identified. Finger millet is sensitive to HT stress during reproductive stages, and there was genotypic variability among the finger millet genotypes for number of seeds per panicle and grain yield under HT, which can be exploited to enhance stress tolerance.     

Can trail spatial attributes predict trail use level in urban forest park? An examination integrating GPS data and space syntax theory

Understanding users’ spatial distribution in forest park is crucial for providing visitors with quality recreation experiences and for park planning and management. Utilizing users’ spatial distribution data, this study aims at investigating associations between trail use level and trail spatial attributes, through examining two large urban forest parks (Gongqing forest park and Paotaiwan forest park) in Shanghai, China. Users’ spatial distribution was measured utilizing GPS trackers with the interval of 10 seconds. This study conceptualizes trail spatial attributes as trail metric attributes and trail configurational attributes. Trail metric attributes include trail mean distance to gates, length, width and level of enclosure, which are calculated based on park map and on-site observation. We computed trail configurational attributes utilizing space syntax theory, which comprise measures of global integration, control, and connectivity. Trail connection with features/facilities, visual connection with water and shading are included as covariate variables. In total, we obtained 134 valid samples in Gongqing forest park and 210 valid samples in Paotaiwan forest park for analysis. Multivariate regression analyses indicate that when involving covariate variables, consistently in both parks, a greater trail usage is significantly related to trail shorter mean distance to park gate, trail width wider than 3 meters, higher global integration and higher control values. Collectively, these four trail spatial attributes explained 31.7 % (p < 0.001) and 27.3 % (p < 0.001) of the variances in trail use level in Gongqing forest park and Paotaiwan forest park. These findings provide direct implications to park designers and managers for providing visitors with different desirable social conditions, and ultimately improve users’ experiences and satisfactions.     

Spatial disparities in neighborhood public tree coverage: Do modes of transportation matter?

Urban green space has various environmental and ecological benefits, and uneven access to such amenities has drawn substantial attention from policy makers in developing sustainable community planning. In this study, we illustrate the spatial distribution of publicly owned and maintained trees in Edmonton, Canada and assess neighborhoods’ heterogeneous tree availability by using the container approach. Through spatial regression models, we further investigate the association of neighborhood public tree availability with socio-economic status (SES). We contribute to the existing literature by taking resident modes of transportation into consideration, in addition to many other commonly examined SES such as household income and ethnicity. Another unique contribution of this study is that we distinguish trees planted on different location types (i.e., boulevard, park, and buffer areas) when exploring the unequal coverage across neighborhoods and among different SES groups. Key results include: (1) a general examination without differentiating location types can lead to misleading results and thus provide inappropriate policy recommendations; (2) resident modes of transportation is a critical factor associated with a neighborhood’s public tree coverage; and (3) there exists evident spatial dependence on public tree availability between neighborhoods. The results from this study provide important information to better understand the issue and to allocate public resource (such as tree coverage) more efficiently and effectively to support sustainable community development.     

Measuring patterns and mechanism of greenway use – A case from Guangzhou,China

In the context of recent studies that have begun to establish a more quantifiable understanding of the use of urban greenways, this paper presents a preliminary investigation into the patterns in which a greenway is used and the mechanism behind the pattern of use of the greenway. Factors of the location, economic situation, environment and social background have been measured and analyzed in the use intensity model to interpret their impact on the use intensity of different sections of a greenway. The results suggest that use of the Waterfront Greenway in Guangzhou is highly impacted by population density, employment density, nearby service provision and the connectivity of the greenway to other parts of the city. In this case, the use intensity model with indicators such as location, economic, environmental and social factors has been shown to be applicable to the evaluation of the use of the greenways. Results from the case study suggest that providing greenways close to the residential zones, employment centers and key public services such as hospitals and schools will increase greenway use. The surrounding network system of a greenway must be carefully considered and designed to improve the linking of the greenway to other parts of the city, to increase the number of potential visitors to the greenway.     

水力侵蚀对砒砂岩区土壤有机碳空间变异性的影响

以侵蚀剧烈的砒砂岩区为研究对象，应用地统计学Kriging插值法准确描述水力侵蚀下土壤有机碳空间动态迁移过程来探究侵蚀与碳平衡的关系并为有效治理砒砂岩区坡面水土流失提供科学的参考。结果表明：（1）降雨前后各土层有机碳均随着土层增加而减少，表现为中等变异、空间自相关均为正相关且0—10 cm土层自相关性最大。降雨后0—20 cm土层有机碳含量减少而20—40 cm土层增加，且各土层变异程度均较雨前减弱。（2）降雨前后土壤有机碳分别与高斯模型，球状模型较为拟合，且变程值均随土层增加而增大。降雨前后0—10 cm土层表现均为强烈空间相关性且雨后结构比增大，而10—40 cm均为中等相关性雨后结构比减小。（3）降雨后空间异质性减弱斑块面积变大，总体表现为同一土层坡上侵蚀坡下沉积，而不同土层下0—20 cm土层表现为侵蚀，20—40 cm土层表现为沉积。（4）降雨前后土壤有机碳均与黏粒呈现较显著正相关，其中降雨前0—10 cm土层有机碳与黏粒为极显著正相关，降雨后各土层相关性增强均为极显著正相关。但降雨前后土壤有机碳与粉粒相关性均较小且不显著，与砂粒则基本表现为负相关。     

近35年红壤稻区土壤肥力时空演变特征—以进贤县为例

【目的】明确红壤稻区典型县域农业生产中土壤养分的变化特征以及当前土壤肥力水平,为红壤稻田土壤培肥改良提供依据。【方法】通过数据收集和野外采样分析得到江西省进贤县1982年、2008年和2017年3个时期稻田耕层土壤属性的数据,统一选取土壤pH、有机质、碱解氮、有效磷和速效钾作为土壤综合肥力评价指标,首先对3个时期各项肥力指标进行常规统计和差异性分析,采用主成分分析找出不同时期肥力差异的关键因子并确定权重,通过隶属度函数得到各项肥力指标的隶属度值,将各项肥力指标的权重和隶属度值加乘得到土壤综合肥力指数,最后结合土壤各项肥力指标和综合肥力指数的GIS空间分布图探究该区域稻田土壤肥力时空演变特征。【结果】1982—2017年进贤县稻田土壤有机质、碱解氮、有效磷和速效钾均呈不同程度的上升趋势,土壤pH呈下降趋势。1982、2008和2017年3个时期进贤县土壤pH的平均值分别为5.9、5.1、4.8,年均下降0.03个单位;35年来土壤pH整体由西部向东南和西北下降速率逐渐减低,2017年99%的稻田土壤处于酸性水平（4.5—5.5）。35年间稻田土壤有机质含量的平均值由28.1 g·kg^-1上升至36.8 g·kg^-1,1982—2008年和2008—2017年土壤有机质年均增加速率分别为0.21和0.31 g·kg^-1,2017年土壤有机质含量在30—40 g·kg^-1之间的稻田占比达94%,1982—2017年土壤有机质整体由东北向西南上升速率逐渐降低。1982—2017年土壤有效磷含量的平均值由7.0 mg·kg^-1上升至32.1 mg·kg^-1,2017年进贤县以土壤有效磷含量在20—40 mg·kg^-1的稻田为主,占比75%。1982—2017年稻田土壤速效钾累积缓慢,1982—2008年和2008—2017年土壤速效钾年均增加速率分别0.58和0.53 mg·kg^-1,2017年进贤县稻田土壤速效钾含量平均值为73.2 mg·kg^-1。稻田土壤碱解氮在1982—2008年和2008—2017年两个阶段增长均呈先快后慢的趋势,前后两个阶段的年增长速率分别为1.24和0.29 mg·kg^-1,1982—2017年进贤县土壤碱解氮含量东南地区上升速率高,西北地区上升速率低。1982、2008和2017年进贤县稻田土壤综合肥力指数的平均值分别为0.43、0.50和0.55。3个时期稻田土壤肥力指标综合得分分别为：碱解氮有效磷>pH>速效钾>有机质（1982年）;pH>有效磷>速效钾>有机质>碱解氮（2008年）;速效钾>有效磷>pH>碱解氮>有机质（2017年）。【结论】经过35年的长期耕作,进贤县稻田土壤肥力得到改善。当前进贤县稻田土壤仍存在碱解氮过量、速效钾亏缺、土壤酸化严重等问题。土壤碱解氮、pH和速效钾分别为1982年、2008年和2017年3个时期造成进贤县稻田土壤肥力空间分布差异性的关键因素。     

Soil carbon change across ten New South Wales farms under different farm management regimes in Australia

This paper examines the potential influence of soil management and land use on soil carbon on cropping farms in New South Wales (NSW), Australia. Soil organic carbon (SOC) data from ten farms spatially distributed across NSW were examined on two occasions. Soil cores to a depth 0–30 cm were measured for SOC and, as expected, SOC in the A horizon (1.16%) was significantly (p < .001) greater than in the B horizon (0.74%) of all profiles. Analysis of the 2013 and 2015 SOC data indicated that in many ways, the results runs counter to other SOC studies in Australia. Importantly, the mean SOC concentration in these agricultural soils was significantly (p < .001) less under cropping (2013-1.05%, 2015-0.97%) than in native sites (2013-1.20%, 2015-1.16%). Out of the total of 35 sites sampled from 10 farms, SOC in 49% of sites did not change significantly over 2 years, in 17% it increased significantly, whereas in 34% it decreased. Further, a clear implication of drought on SOC was seen on sites that were uncropped based on a critical value for a 95% confidence interval (p < .05) and complemented by the significant correlation (p < .05) between average annual precipitation deficit (ANPD) and SOC across the state with R² = 0.39. The mean SOC was found to be directly proportional to standard deviation and standard error. In terms of spatial variability, the C0 (nugget) value was greatest for farms with a large mean SOC and the average variogram in this study has a range of approximately 200 m which is potentially useful in determining sampling spacing for soil carbon auditing purpose. Similar empirical data over more years are required to better estimate SOC levels and to determine whether at a farm scale, factors such as land management, land use and climate can be related to soil carbon change and variability.