Changes in soil properties and resistance to concentrated flow across a 25‐year passive restoration chronosequence of grasslands on the Chinese Loess Plateau

Revegetation represents an effective measure for preventing soil erosion on the Loess Plateau. However, the effects of revegetation‐induced changes in soil and root properties on soil resistance to concentrated flow erosion (SRC) remain unclear. This study sampled soils and roots across a 25‐year chronosequence from farmland to grasslands of different ages (3, 7, 10, 18, and 25 years) to quantify variations in soil and root properties (soil bulk density, SBD; soil disintegration rate, SDR; saturated hydraulic conductivity, SHC; organic matter content, OMC; water‐stable aggregate, WSA; mean weight diameter, MWD; root mass density, RMD; root length density, RLD; and root surface area density, RSAD) and their effects on SRC. Farmland and grassland SRCs were obtained using a hydraulic flume. Soil properties and root density gradually improved with restoration time. In terms of the comprehensive soil property index calculated via principal component analysis, grassland values were 0.66 to 1.94 times greater than farmland values. Grassland SRCs increased and gradually stabilized (>18 years) over time and were 1.60 to 8.26 times greater than farmland SRC. SRC improvement was significantly related to increases in OMC, SHC, WSA, and MWD and decreases in SBD and SDR over time. SRC was effectively simulated by the Hill curve of RMD, RLD, and RSAD. SDR, SHC, and RMD (0.5–1.0 mm) affected SRC the most. This study scientifically describes how revegetation improves soil quality and soil resistance to flow erosion, and suggests that vegetations rich in 0.5–1.0 mm roots should be preferred during revegetation.     

Statistical and multivariate statistical techniques to trace the sources and affecting factors of groundwater pollution in a rapidly growing city on the Chinese Loess Plateau

Abstract

Groundwater quality is defined by various water quality parameters. The aims of the research are to understand the relationships among different groundwater quality parameters and to trace the sources and affecting factors of groundwater pollution via statistical and multivariate statistical techniques. The 36 shallow groundwater samples collected from shallow pumping wells in Yan’an City were analyzed for various water quality parameters. Correlation analysis, principal component analysis (PCA), hierarchical cluster analysis (HCA), and multivariable linear regressions (MLR) were jointly used in this study to explore the sources and affecting factors of groundwater pollution. The study reveals that the mineral dissolution/precipitation and anthropogenic input are the main sources of the physicochemical indices and trace elements in the groundwater. Groundwater chemistry is predominantly regulated by natural processes such as dissolution of carbonates, silicates, and evaporates and soil leaching, followed by human activities as the second factor. Climatic factors and land use types are also important in affecting groundwater chemistry. Cl^– is the greatest contributor to the overall groundwater quality revealed by the two regression models. The first model which has eight dependent variables is high in model reliability and stability, and is recommended for the overall groundwater quality prediction. The study is helpful for understanding groundwater quality variation in urban areas.     

Grazing simplifies soil micro‐food webs and decouples their relationships with ecosystem functions in grasslands

Livestock grazing often alters aboveground and belowground communities of grasslands and their mediated carbon (C) and nitrogen (N) cycling processes at the local scale. Yet, few have examined whether grazing‐induced changes in soil food webs and their ecosystem functions can be extrapolated to a regional scale. We investigated how large herbivore grazing affects soil micro‐food webs (microbes and nematodes) and ecosystem functions (soil C and N mineralization), using paired grazed and ungrazed plots at 10 locations across the Mongolian Plateau. Our results showed that grazing not only affected plant variables (e.g., biomass and C and N concentrations), but also altered soil substrates (e.g., C and N contents) and soil environment (e.g., soil pH and bulk density). Grazing had strong bottom‐up effects on soil micro‐food webs, leading to more pronounced decreases at higher trophic levels (nematodes) than at lower trophic levels (microbes). Structural equation modeling showed that changes in plant biomass and soil environment dominated grazing effects on microbes, while nematodes were mainly influenced by changes in plant biomass and soil C and N contents; the grazing effects, however, differed greatly among functional groups in the soil micro‐food webs. Grazing reduced soil C and N mineralization rates via changes in plant biomass, soil C and N contents, and soil environment across grasslands on the Mongolian Plateau. Spearman's rank correlation analysis also showed that grazing reduced the correlations between functional groups in soil micro‐food webs and then weakened the correlation between soil micro‐food webs and soil C and N mineralization. These results suggest that changes in soil micro‐food webs resulting from livestock grazing are poor predictors of soil C and N processes at regional scale, and that the relationships between soil food webs and ecosystem functions depend on spatial scales and land‐use changes.     

Tsuga seed cones from the late Paleogene of southwestern China and their biogeographical and paleoenvironmental implications

Six Tsuga ovuliferous/seed cone impression fossils were discovered from the late Eocene (34.6 ± 0.8 Ma) Lawula Formation in Mangkang County, eastern Tibet and the early Oligocene (32 ± 1 Ma) lacustrine deposits in Lühe Basin, Nanhua County, Yunnan Province. These two fossil sites are both located in southwestern China, ∼800 km apart from each other. These fossils represent the oldest records of this genus in southwestern China, even earliest reliable macrofossil records of this genus in the world. These well-preserved seed cones provide sufficient materials for the establishment of Tsuga asiatica Wu et Zhou n. sp. to accommodate five specimens, leaving one to be assigned to T. cf. dumosa Eichler (cf. Wu et Zhou). Both qualitative and quantitative comparisons with other cone fossils and cones of all living species of the genus suggested that T. asiatica shares more similarities with one of the basal species of the genus T. heterophylla. The discovery of late Paleogene macrofossil records of Tsuga in southwestern China supports the previous hypothesis of the early disposal routes of this coniferous genus predicted by phylogenetic analysis. The elevation ranges and the climate requirements of living species that are closely related to our fossils suggest that the southeastern edge of the Qinghai-Tibetan Plateau should be much warmer, and wetter in late Paleogene than nowadays.     

The historical context of contemporary climatic adaptation: a case study in the climatically dynamic and environmentally complex southwestern United States

The process of adaptation can be highly dependent upon historical and contemporary factors, especially in environmentally and topographically complex regions affected by Pleistocene glaciations. Here, we investigate Hilaria jamesii (Poaceae), a dryland C₄ graminoid, to test how patterns of adaptive genetic variation are linked to its glacial and post-glacial history. We show that the species persisted in a single, southern refugium during the last glacial period and subsequently migrated throughout its current distribution concurrent with post-glacial warming. The species’ putative adaptive genetic variation correlates with climatic gradients (e.g. monsoon precipitation and mean diurnal temperature range) that covary with the species’ probable route of demographic expansion. The short timescale and multiple climatic dimensions of adaptation imply that natural selection acted primarily upon standing genetic variation. These findings suggest that restoration and conservation practices should prioritize the maintenance of standing genetic variation to ensure that species have the capacity to respond to future environmental changes.     

新建川藏铁路(雅安-昌都段)沿线外来入侵植物种类及分布特征

横断山区为全球生物多样性热点地区之一, 也是全国生态屏障的重要组成部分。新建川藏铁路雅安至昌都段横跨横断山核心地区, 铁路建设形成的交通网络将沿线生物多样性热点区域与外界相连, 导致生物入侵风险陡增。为获得区域内外来入侵植物的种类及分布特征信息, 为即将开始的铁路工程建设、生态保护及生态修复等工作提供参考, 我们在雅安-昌都段内选择43个位点各进行长度1 km、宽度20 m的样线调查。研究结果显示: 雅安-昌都段共发现外来入侵植物58种, 隶属于18科42属, 其中出现频度最高的种类依次是牛膝菊(Galinsoga parviflora)、秋英(Cosmos bipinnatus)和鬼针草(Bidens pilosa)。从危害等级来看, 其中10种为恶性入侵种, 16种为严重入侵种, 8种为局部入侵种, 15种为一般入侵种, 9种为有待观察种, 超过半数种类具有明显入侵性。原产地分析结果显示美洲是该区域外来入侵植物的主要原产地。基于海拔及主要河流区段的比较研究发现: 入侵植物的种类数量呈现出明显的由东向西、由低海拔向高海拔逐渐递减的趋势, 该分布格局是环境因子和人类活动共同作用的结果。结合铁路沿线入侵现状和生境特征, 本文分析了铁路建设可能造成的外来植物入侵风险, 并针对入侵的防范提出了相应的建议。     

气候变暖背景下青藏高原草本植物物候变化空间换时间预测

气候变暖背景下的植物物候变化广受关注, 然而常用的植物物候变化预测模型未充分考虑植物对环境的适应性, 给预测结果带来了较大的不确定性。该文基于2002-2011年青藏高原10个站点的地面物候观测资料以及年平均气温数据, 对空间换时间模型预测车前(Plantago asiatica)和蒲公英(Taraxacum mongolicum)各主要物候事件(展叶始期、开花始期和黄枯普遍期)变化的可行性及其在升温背景下的变化规律进行了分析。首先利用不同海拔高度的气温和物候事件分别与地理因子(经度、纬度和海拔)建立多元线性回归模型, 然后在此基础上剔除经度和纬度的影响, 单独考察海拔变化所引起的气温与植物物候变化, 最后以海拔高度作为桥梁来考察物候变化与温度变化的关系。结果表明, 采用各站点对应的海拔高度来模拟年平均气温空间差异的R²均大于0.89, 表明海拔梯度可以用来反映时间尺度下的年际温度变化; 车前和蒲公英各物候事件发生日期拟合值均与海拔高度变化关系显著, R²均大于0.70, 表明海拔变化是影响它们各物候事件变化的主要地理因子; 在物候事件发生日期拟合值和年平均气温拟合值的回归方程中, R²均大于0.93, 说明基于不同海拔高度模拟得到的年平均气温变化可以对时间尺度上车前和蒲公英的物候事件变化进行预测。空间换时间预测表明, 温度每升高1 ℃, 车前展叶始期和开花始期分别提前5.1和5.4 d, 而黄枯普遍期推迟4.8 d; 蒲公英展叶始期和开花始期分别提前6.5和7.8 d, 而黄枯普遍期推迟6.7 d。     

增温对青藏高原高寒草甸呼吸作用的影响

生态系统呼吸(ER)和土壤呼吸(SR)是草地生态系统碳排放的关键环节,其对气候变化极为敏感。高寒草甸是青藏高原典型的草地生态系统,其呼吸作用对气候变化的响应对区域碳排放具有重要的影响。以高寒草甸生态系统为对象,于2012—2016年采用模拟增温的方法研究呼吸作用对增温的响应。结果表明:增温对高寒草甸ER的影响存在年际差异,2013年和2014年增温对ER无显著影响,其他年份显著增加ER(P0.05),综合5年结果,平均增幅达22.3%。增温显著促进了高寒草甸SR(P0.05),较对照处理5年平均增幅高达67.1%;增温总体上提高了SR在ER中的比例(P0.05),最高增幅达到59.9%。ER和SR与土壤温度有显著的正相关关系(P0.05),与土壤水分没有显著的相关关系(P0.05)。对照样地中,土壤温度分别能解释33.0%和18.5%的ER和SR变化。在增温条件下,土壤温度可以解释20.5%和13.0%的ER和SR变化。在增温条件下,SR的温度敏感性显著增加,而ER的温度敏感性变化较小,导致SR的比重进一步增加。因此,在未来气候变暖条件下,青藏高原高寒草甸生态系统碳排放,尤其是土壤碳排放有可能进一步增加,土壤碳流失风险增加。     

黄土高寒区典型植被类型土壤入渗特征及其影响因素

为了研究黄土高寒区典型植被在不同坡位下土壤入渗性能差异及其影响因素,采用恒定水头法测定了不同植被类型的土壤入渗过程,并分析了土壤孔隙状况、机械组成、水稳性团聚体等与渗透速率的相关性。结果表明:(1)初渗速率和稳渗速率均表现为青海云杉祁连圆柏华北落叶松荒草地,且差异性显著;同一植被类型的土壤入渗速率沿坡面向下逐渐增大,但差异性不显著;(2)对不同植被类型的土壤入渗过程模拟发现Horton模型拟合效果最好,决定系数均在0.8以上,通用经验模型拟合精度较差,决定系数在0.614—0.982之间;(3)土壤入渗性能与孔隙状况、水稳性团聚体质量分数、有机质含量均有极显著相关性;0.25 mm团聚体质量分数是影响稳渗速率的主要决策因素;总孔隙度是影响初渗速率的最主要的决策因素,而毛管孔隙度是主要的限制因子。为高寒地区土壤入渗模拟以及植被配置等提供了科学依据。     

黄土高原刺槐叶片-土壤生态化学计量参数对降雨量的响应特征

以黄土高原10个典型样点的20年刺槐人工林为研究对象,测定了样地中刺槐叶片碳（C）、氮（N）、磷（P）含量,以及0-10 cm和10-20 cm土层土壤的主要理化指标,探讨了黄土高原刺槐叶片-土壤生态化学计量特征参数随水分梯度的变化规律。研究结果发现：①随着降水量增加,刺槐叶C、N含量呈增加趋势,叶片P含量无一致性规律。② 0-10 cm土层中土壤SOC、TN、TP、铵态氮含量以及C ∶ P和N ∶ P均随降雨量增加呈逐渐增加趋势,而C ∶ N比变化不明显。③刺槐叶片C、N、P及其化学计量比与土壤化学计量比相关性较弱,但叶片N、P与土壤铵态氮、速效磷等速效养分含量呈显著正相关（P<0.05）。本研究叶片N ∶ P>16,说明黄土高原刺槐生长主要受P元素限制,且随着降水的增加,土壤P养分的限制加强。