Research progress on the effects of soil erosion on vegetation

The relationship between vegetation and soil erosion deserves attention due to its scientific importance and practical applications. A great deal of information is available about the mechanisms and benefits of vegetation in the control of soil erosion, but the effects of soil erosion on vegetation development and succession is poorly documented. Research shows that soil erosion is the most important driving force for the degradation of upland and mountain ecosystems. Soil erosion interferes with the process of plant community development and vegetation succession, commencing with seed formation and impacting throughout the whole growth phase and affecting seed availability, dispersal, germination and establishment, plant community structure and spatial distribution. There have been almost no studies on the effects of soil erosion on seed development and availability, of surface flows on seed movement and redistribution, and their influences on soil seed bank and on vegetation establishment and distribution. However, these effects may be the main cause of low vegetation cover in regions of high soil erosion activity and these issues need to be investigated. Moreover, soil erosion is not only a negative influence on vegetation succession and restoration, but also a driving force of plant adaptation and evolution. Consequently, we need to study the effects of soil erosion on ecological processes and on development and regulation of vegetation succession from the points of view of pedology and vegetation, plant and seed ecology, and to establish an integrated theory and technology for deriving practical solutions to soil erosion problems.     

Post-Fire Resource Redistribution in Desert Grasslands: A Possible Negative Feedback on Land Degradation

Desert grasslands, which are very sensitive to external drivers like climate change, are areas affected by rapid land degradation processes. In many regions of the world the common form of land degradation involves the rapid encroachment of woody plants into desert grasslands. This process, thought to be irreversible and sustained by biophysical feedbacks of global desertification, results in the heterogeneous distribution of vegetation and soil resources. Most of these shrub-grass transition systems at the desert margins are prone to disturbances such as fires, which affect the interactions between ecological, hydrological, and land surface processes. Here we investigate the effect of prescribed fires on the landscape heterogeneity associated with shrub encroachment. Replicated field manipulation experiments were conducted at a shrub-grass transition zone in the northern Chihuahuan desert (New Mexico, USA) using a combination of erosion monitoring techniques, microtopography measurements, infiltration experiments, and isotopic studies. The results indicate that soil erosion is more intense in burned shrub patches compared to burned grass patches and bare interspaces. This enhancement of erosion processes, mainly aeolian, is attributed to the soil–water repellency induced by the burning shrubs, which alters the physical and chemical properties of the soil surface. Further, we show that by enhancing soil erodibility fires allow erosion processes to redistribute resources accumulated by the shrub clumps, thereby leading to a more homogeneous distribution of soil resources. Thus fires counteract or diminish the heterogeneity-forming dynamics of land degradation associated with shrub encroachment by enhancing local-scale soil erodibility. Author Contributions  SR—Conceived of or designed study, performed research, analyzed data, wrote the paper; PD—Conceived of or designed study, performed research, wrote the paper; LW—Performed research, analyzed data; GO—Contributed new methods, analyzed data; SC—Conceived of or designed study; CW—Performed research, contributed new methods or models; and SM—Contributed new methods or models.     

Impacts of increased sediment loads on the ecology of lakes

Increased sediment loading comprises one of the most important and pervasive anthropogenic impacts on aquatic ecosystems globally. In spite of this, little is known of the overall effects of increased sediment loads on lakes. By modifying both bottom-up and top-down ecological processes and restructuring energy flow pathways, increased sediment loads not only alter biotic assemblage structure and ecological functioning significantly, but frequently result in reduced biological diversity and productivity. Although lake food-webs can be subsidised to some extent by the adsorption of organic carbon to fine sediments, trophic structure and the composition of biotic assemblages remain likely to be modified considerably. The mineralogy and particle size of sediments and the availability of nutrients, by influencing both the scale and nature of impacts, are key determinants of the overall effects of increased sediment loads on lake ecosystems. Although interactions with other global anthropogenic pressures, such as invasion by exotic species and climate change, are likely to be significant, little remains known about the nature or likely strength of those interactions. Widespread increases in sediment loading to lakes have, therefore, profound implications for the conservation and management of global aquatic biological diversity.     

Soil conservation in Polylepis mountain forests of Central Argentina: Is livestock reducing our natural capital?

Mountain forests and their soils provide ecological services such as maintenance of biodiversity, provision of clean water, carbon capture and forage for livestock rearing, which is one of the principal economic activities in mountain areas. However, surprisingly little is known about livestock impact in South American mountain forest soils. With the aim of understanding how livestock and topography influence patterns of forest cover, soil compaction, soil loss and soil chemical properties, we analysed these parameters in 100 Polylepis australis woodland plots situated in the humid subtropical mountains of Central Argentina. We used distance from the nearest ranch as an objective index of historical livestock impact and measured standard topographic variables. Our main results reveal that distance from ranch in all cases partly explains tree canopy cover, soil loss, soil compaction and soil chemical properties; suggesting a strong negative effect of livestock. Intermediate altitudes had more tree canopy cover, while landscape roughness – a measure of the variability in slope inclination and aspect – was negatively associated to soil impedance and acidity, and positively associated to soil organic matter content. Finally, flatter areas were more acid. We conclude that livestock has had a substantial influence on forest soil degradation in the Mountains of Central Argentina and possibly other similar South American mountains. Soil degradation should be incorporated into decision making when considering long‐term forest sustainability, or when taking into account retaining livestock for biodiversity conservation reasons. Where soil loss and degradation are ongoing, we recommend drastic reductions in livestock density.     

晋陕宁黄土丘陵区生态修复与农林牧业持续发展仿真研究

晋陕宁黄土丘陵区土壤侵蚀严重,生态环境脆弱,不合理利用土地是其主要原因,生态修复与环境重建是该区生态与经济持续发展的重要战略措施。应用系统动力学（System Dynamic,简称SD）和“反馈控制（Feedback control）理论建立了该区生态修复和环境重建的SD模型,它分为人口、农业、林业、牧业、农村经济、土壤侵蚀和生态环境6个模块,仿真时间1990～2080年,步长1a。经检验该SD模型的有效性为93．5％,可用于未来仿真预测。根据该区的生态环境特点和农牧业发展现状,选择生态环境恢复重建的3种典型模式——同步发展模式（A模式）、逐步调整模式（B模式）和现状发展模式（C模式）进行仿真研究,预测3种模式2000～2080年的土壤侵蚀、土地利用的发展动态以及农林牧业和生态环境演化趋势。仿真结果表明：土地利用与农、林、牧业持续发展密切相关,坡耕地和草场退化是制约农林牧业发展的主要因素。合理调整土地利用结构和加速治理侵蚀,可促进生态环境逐步恢复和农林牧业持续发展。同步发展模式（A模式）是该区生态修复和环境重建的3个仿真模式中的最优策略,它可促进农林牧协调发展和生态一经济趋向良性循环,并提出该区生态修复与环境重建的对策措施。该SD模型结构合理,运行功能良好,能较真实的模拟具有多变量、非线性变量的复杂生态系统的动态行为,为生态修复研究提供一种有效工具。     

南亚热带水土流失地区人工加速植被演替过程

水土流失地区植被在自然条件下从阳生草本到乔灌草复合植被的演替过程常常需要很长的时间,选取适当树种人工造林可以省略先锋物种强阳生草本的发育时间,提早诱发灌木和草本植物发育,大大加速植被恢复演替过程。通过对广东惠州市惠阳区上杨试验站等南亚热带典型水土流失地区的研究发现：自然封育状态下,水土流失地区植被恢复和演替缓慢,25。后植被覆盖度只有35％,且主要以阳生性耐贫瘠的灌木及草本为主,土壤侵蚀仍然比较严重。选择大叶相思树人工造林加速了植被演替进程,控制了水土流失,12a左右植被覆盖度就达90％左右。造林23a左右,林地遮蔽涵养水分和控制侵蚀作用下迅速生长多种当地物种,形成了乔、灌、草、藤、竹多层复合植被。在南亚热带季风气候地区,自然封育状态下严重水土流失区植被恢复至较稳定的次生林阶段需要60a左右的时间;人工造林加速植被演替只需要20a。植树造林是该地区植被恢复发育及控制水土流失的有效措施。     

戈壁灌丛堆周边地表土壤颗粒的空间异质特征

研究戈壁地区单个灌丛及其下沙堆这一有机整体对周边土壤风蚀的抑制能力, 对加强相关地区的植被类型及其空间配置格局的防沙效应研究十分重要, 可为荒漠化监测的评价和制定科学的防治措施提供参考。该文利用数字图像处理技术, 获取吉兰泰盐湖北部戈壁上单个白刺(Nitraria tangutorum)灌丛沙堆和沙冬青(Ammopiptanthus mongolicus)灌丛沙堆周边地表不同土壤风蚀颗粒的百分含量; 并采用经典描述性统计及地统计学方法, 对各类土壤风蚀颗粒百分含量的水平空间异质性进行分析。结果表明: (1)灌丛基部和下风向是细物质积累区, 以灌丛堆为中心向外, <0.42 mm的细颗粒含量呈减少趋势; 而且细物质积累的最大值出现在白刺灌丛的迎风侧附近, 沙冬青样地则相反, 出现在灌丛的背风侧附近。在沙源物质有限的戈壁中, 白刺的防风固沙作用集中体现在灌丛附近, 其水平空间尺度范围不及沙冬青, 这亦是白刺样地粗粒化程度高于沙冬青样地的原因。(2)白刺和沙冬青灌丛附近地表中粒径>0.84 mm (不可蚀)、0.84-0.42 mm (半可蚀)及<0.42 mm (高度可蚀)颗粒的空间异质性尺度分别为17.80 m、66.63 m、8.41 m和9.82 m、15.33 m、14.91 m, 均超出了灌丛冠幅覆盖范围, 空间自相关部分比例C/(C₀ + C)在63.40%-99.96%之间, 由此推断灌丛沙堆附近的风沙流特征是造成相应尺度内土壤颗粒空间异质性的主要因子。(3)高度可蚀颗粒的空间异质性尺度略大于灌丛平均间距(8.77 m包括灌丛半径), 从防止土壤风蚀来看, 这说明研究区内的建群种灌丛间存在一定程度的相互促进关系, 有利于该区植被的稳定与发展。     

Modeling WEPP erodibility parameters in calcareous soils in northwest Iran

Modeling soil detachment rates at the regional scale is important for better understanding of the processes of erosion and the development of erosion models. Soil erodibility is an important factor for predicting soil loss, but its direct measurement at the watershed scale is difficult, time-consuming and costly. This study used stepwise multiple-linear regression (MLR) and artificial neural networks (ANNs) to model Water Erosion Prediction Project (WEPP) soil erodibility parameters, including the baseline inter-rill erodibility (K_ib), baseline rill erodibility (K_rb) and critical shear stress (τ_cb) of cropland conditions in calcareous soils of northwest Iran. Simulated inter-rill and rill erosion experiments were conducted at 100 locations with three replications. K_ib, K_rb and τ_cb and basic soil properties were measured at each location. Auxiliary variables related to soil erodibility were derived from a Landsat 7 satellite image and a 30 m × 30 m digital elevation model (DEM). MLR and ANN models were employed to predict K_ib, K_rb and τ_cb using two groups of input variables: i) more easily measurable basic soil properties (pedo-transfer functions (PTFs)) and ii) more easily measurable basic soil properties and auxiliary data (soil spatial prediction functions (SSPFs)). The results indicated that the WEPP models performed poorly in comparison to the derived models. PTFs and SSPFs generated from ANN models provided more reliable predictions than the MLR models. ANN-based SSPF models yielded the best results (with the highest R² and lowest RMSE values) for predicting Kib and Krb. ANN-based PTF model performed reasonably well for predicting τ_cb. These results show that information from terrain attributes and remote sensing data are potential auxiliary variables for improving prediction of soil erodibility parameters.     

The Ca sensor S100A1 modulates neuroinflammation,histopathology and Akt activity in the PSAPP Alzheimer's disease mouse model

The contribution of the Ca²⁺ sensor S100A1 to in vivo Alzheimer's disease (AD) pathobiology has not been elucidated although S100A1 regulates numerous cellular processes linked to AD. This study uses genetic ablation to ascertain the effects of S100A1 on neuroinflammation, beta-amyloid (Aβ) plaque deposition and Akt activity in the PSAPP AD mouse model. PSAPP/S100A1^−/− mice exhibited decreases in astrocytosis (GFAP burden), microgliosis (Iba1 burden) and plaque load/number when compared to PSAPP/S100A1^+/+ mice at six and twelve months of age. The presence of detectable S100A1 staining in human AD specimens is consistent with a detrimental gain of S100A1 function in AD. S100A1 ablation also reduced plaque associated and increased non-plaque associated PO₄-Akt and PO₄-GSK3β staining. S100A1·Akt complexes were undetectable in PC12 cells and AD brain tissue suggesting that S100A1 indirectly modulates Akt activity. In contrast, S100A1·RyR (ryanodine receptor) complexes were present in human/mouse AD brain and exhibited Ca²⁺-dependent formation in neuronal cells. This is the first direct demonstration of an S100A1· target protein complex in tissue/cells and identifies the RyR as a primary S100A1 target protein in the brain. Collectively, these data suggest that S100A1 inhibition may be a novel strategy for normalizing aberrant Ca²⁺ signaling in AD.