基于模拟降雨试验的喀斯特坡耕地土壤侵蚀特征

探索喀斯特坡耕地土壤侵蚀过程及机理对该区水土流失及石漠化治理具有重要的现实和指导意义.本文采用人工模拟降雨的试验方法,探索喀斯特坡耕地土壤侵蚀过程及特征.结果表明: 降雨强度较小时(30、50 mm·h^-1),水土流失以地下孔(裂)隙流失为主,当降雨强度较大时(80 mm·h^-1),土壤侵蚀以地表流失为主;地表径流模数和输沙率均随坡度的增加而增大,随孔(裂)隙度的增加而减小.地下径流模数在0.37～0.52 L·m^-2·min^-1,地下输沙率在0.81～1.93 g·min^-1,二者均随坡度的增加而减小,随降雨强度的增加呈先增大后减小的变化趋势.     

土石山区不同植物土壤水分利用方式对降雨的响应特征

植物的水分利用特征对浅层土石山区的植被恢复具有重要意义.本研究利用稳定同位素技术,通过采集降雨后丹江鹦鹉沟小流域侧柏和玉米的植物样及其植物根系周围的土壤样品,分析其氧稳定同位素特征,研究土石山区侧柏和玉米两种不同植物的土壤水分利用方式对降雨的响应特征.结果表明: 侧柏和玉米的土壤水分利用方式对降雨存在不同的响应特征.侧柏根系主要利用10～30 cm土层的土壤水分,而玉米主要利用0～20 cm土层的土壤水分.降雨量由29 mm减少至8 mm时,侧柏根系的主要吸水深度由20～30 cm减小到10～20 cm,玉米根系的主要吸水深度由10～20 cm转换为0～20 cm.降雨减少时,侧柏根系吸水的主要深度均由深层土壤向浅层土壤移动,而玉米的主要吸水深度由10～20 cm增加为0～20 cm.侧柏和玉米根系的土壤水分利用方式对降雨的响应特征较为明显.     

Carbon implications of converting cropland to bioenergy crops or forest for climate mitigation: a global assessment

The potential for climate change mitigation by bioenergy crops and terrestrial carbon sinks has been the object of intensive research in the past decade. There has been much debate about whether energy crops used to offset fossil fuel use, or carbon sequestration in forests, would provide the best climate mitigation benefit. Most current food cropland is unlikely to be used for bioenergy, but in many regions of the world, a proportion of cropland is being abandoned, particularly marginal croplands, and some of this land is now being used for bioenergy. In this study, we assess the consequences of land‐use change on cropland. We first identify areas where cropland is so productive that it may never be converted and assess the potential of the remaining cropland to mitigate climate change by identifying which alternative land use provides the best climate benefit: C₄ grass bioenergy crops, coppiced woody energy crops or allowing forest regrowth to create a carbon sink. We do not present this as a scenario of land‐use change – we simply assess the best option in any given global location should a land‐use change occur. To do this, we use global biomass potential studies based on food crop productivity, forest inventory data and dynamic global vegetation models to provide, for the first time, a global comparison of the climate change implications of either deploying bioenergy crops or allowing forest regeneration on current crop land, over a period of 20 years starting in the nominal year of 2000 ad . Globally, the extent of cropland on which conversion to energy crops or forest would result in a net carbon loss, and therefore likely always to remain as cropland, was estimated to be about 420.1 Mha, or 35.6% of the total cropland in Africa, 40.3% in Asia and Russia Federation, 30.8% in Europe‐25, 48.4% in North America, 13.7% in South America and 58.5% in Oceania. Fast growing C₄ grasses such as Miscanthus and switch‐grass cultivars are the bioenergy feedstock with the highest climate mitigation potential. Fast growing C₄ grasses such as Miscanthus and switch‐grass cultivars provide the best climate mitigation option on ≈485 Mha of cropland worldwide with ~42% of this land characterized by a terrain slope equal or above 20%. If that land‐use change did occur, it would displace ≈58.1 Pg fossil fuel C equivalent (C_eq oil). Woody energy crops such as poplar, willow and Eucalyptus species would be the best option on only 2.4% (≈26.3 Mha) of current cropland, and if this land‐use change occurred, it would displace ≈0.9 Pg C_eq oil. Allowing cropland to revert to forest would be the best climate mitigation option on ≈17% of current cropland (≈184.5 Mha), and if this land‐use change occurred, it would sequester ≈5.8 Pg C in biomass in the 20‐year‐old forest and ≈2.7 Pg C in soil. This study is spatially explicit, so also serves to identify the regional differences in the efficacy of different climate mitigation options, informing policymakers developing regionally or nationally appropriate mitigation actions.     

Revealing the pathways by which agricultural land‐use affects stream fish communities in South Brazilian grasslands

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Effects of land clearing for agriculture on soil organic carbon stocks in drylands: A meta-analysis

Agricultural activities have been expanding globally with the pressure to provide food security to the earth's growing population. These agricultural activities have profoundly impacted soil organic carbon (SOC) stocks in global drylands. However, the effects of clearing natural ecosystems for cropland (CNEC) on SOC are uncertain. To improve our understanding of carbon emissions and sequestration under different land uses, it is necessary to characterize the response patterns of SOC stocks to different types of CNEC. We conducted a meta-analysis with mixed-effect model based on 873 paired observations of SOC in croplands and adjacent natural ecosystems from 159 individual studies in global drylands. Our results indicate that CNEC significantly (p < .05) affects SOC stocks, resulting from a combination of natural land clearing, cropland management practices (fertilizer application, crop species, cultivation duration) and the significant negative effects of initial SOC stocks. Increases in SOC stocks (in 1 m depth) were found in croplands which previously natural land (deserts and shrublands) had low SOC stocks, and the increases were 278.86% (95% confidence interval, 196.43%–361.29%) and 45.38% (26.53%–62.23%), respectively. In contrast, SOC stocks (in 1 m depth) decreased by 24.11% (18.38%–29.85%) and 10.70% (1.80%–19.59%) in clearing forests and grasslands for cropland, respectively. We also established the general response curves of SOC stocks change to increasing cultivation duration, which is crucial for accurately estimating regional carbon dynamics following CNEC. SOC stocks increased significantly (p < .05) with high long-term fertilizer consumption in cleared grasslands with low initial SOC stocks (about 27.2 Mg ha⁻¹). The results derived from our meta-analysis could be used for refining the estimation of dryland carbon dynamics and developing SOC sequestration strategies to achieve the removal of CO₂ from the atmosphere.     

Long‐term terrestrial carbon dynamics in the Midwestern United States during 1850–2015: Roles of land use and cover change and agricultural management

To meet the increasing food and biofuel demand, the Midwestern United States has become one of the most intensively human‐disturbed hotspots, characterized by widespread cropland expansion and various management practices. However, the role of human activities in the carbon (C) cycling across managed landscape remains far from certain. In this study, based on state‐ and national census, field experiments, and model simulation, we comprehensively examined long‐term carbon storage change in response to land use and cover change (LUCC) and agricultural management in the Midwest from 1850 to 2015. We also quantified estimation uncertainties related to key parameter values. Model estimation showed LUCC led to a reduction of 1.35 Pg (with a range of 1.3–1.4 Pg) in vegetation C pool of the Midwest, yet agricultural management barely affected vegetation C change. In comparison, LUCC reduced SOC by 4.5 Pg (3.1 to 6.2 Pg), while agricultural management practices increased SOC stock by 0.9 Pg. Moreover, we found 45% of the study area was characterized by continuously decreasing SOC caused by LUCC, and SOC in 13% and 31% of the area was fully and partially recovered, respectively, since 1850. Agricultural management was estimated to increase the area of full recovery and partial recovery by 8.5% and 1.1%. Our results imply that LUCC plays an essential role in regional C balance, and more importantly, sustainable land management can be beneficial for strengthening C sequestration of the agroecosystems in the Midwestern US, which may serve as an important contributor to C sinks in the US.     

福建省耕地土壤潜性酸动态变化及其驱动因素

土壤潜性酸是植物生长的潜在限制因子,是土壤酸性调控的重要依据.按比例抽取并测定福建省耕地表层土壤代表性样点的潜性酸量和pH值,拟合潜性酸(PA)与活性酸(pH)的最优关系模型,利用全省1982年36777个、2008年236445个和2016年21269个耕地表层土壤调查样点pH等属性数据,建立3期1∶5万耕地土壤潜性酸量数据库,借助GIS技术和灰色关联分析模型探讨福建省耕地土壤潜性酸动态变化规律及其驱动因素.结果表明: 1982—2016年,全省耕地土壤潜性酸量整体呈上升趋势,2008和2016年潜性酸量分别比1982年上升1.30和1.49 cmol·kg^-1,1982—2008年的潜性酸上升速率比2008—2016年高0.03 cmol·kg^-1·a^-1.1982—2016年,全省耕地土壤潜性酸变化量空间差异明显,龙岩市耕地土壤潜性酸变化量最大,比最小的三明市高4倍以上;不同利用类型耕地土壤潜性酸变化量大小依次为水田>水浇地>旱地;咸酸水稻土、潜育水稻土和淹育水稻土亚类的潜性酸变化量最大,是全省潜性酸变化量均值的1倍以上;赤红壤和盐渍水稻土亚类变化量最小,分别为全省均值的25.7%和28.4%.福建省耕地土壤潜性酸动态变化的主要驱动因素包括氮、磷肥施用量、阳离子交换量(CEC)、黏粒含量、pH和粉粒含量,灰色关联系数绝对值＞0.92.科学优化施肥结构、合理施用碱性调理剂改酸是减缓福建省耕地土壤潜性酸增加的重要途径.     

北方农牧交错带退耕还林与还草对地面节肢动物群落结构的影响

在中国北方农牧交错带宁夏盐池县,以农田为对照,以人工柠条林地、杨树林地和弃耕后自然恢复草地为研究样地,采用陷阱诱捕法,调查了退耕还林与还草4种类型样地的地面节肢动物群落结构特征,旨在分析农牧交错带退耕还林与还草措施对地面节肢动物群落结构生态效应的差异性。结果显示:(1)调查共获得地面节肢动物7目23科25类,其中优势类群为蜉金龟科和蚁科,其个体数占总个体数45.30%;常见类群13类,其个体数占总个体数49.17%;其余10类为稀有类群,其个体数占总个体数5.53%。(2)农田和草地生境的优势类群均有4个类群,而柠条林地和杨树林地生境的优势类群只有1个类群(即蚁科),但草地生境的优势类群种类组成完全不同于农田生境;优势度从农田的86.67%降为杨树林地的54.90%、柠条林地的63.16%和草地的61.70%。退耕还林还草后常见类群数及其优势度均呈现显著增加趋势。另外,4种类型样地生境中均无稀有类群。(3)退耕还林与还草仅对地面节肢动物类群数和Shannon指数产生显著影响(P0.05),而对个体数和优势度指数均无显著影响(P0.05)。地面节肢动物类群数和Shannon指数均表现为草地最高,杨树林地次之,农田和柠条林地最低。(4)不同生境类型样地间Jaccard指数均较低,介于0.13—0.39之间,属于不相似或中等不相似。(5)偏RDA分析表明,土壤含水量和总氮含量是影响地面节肢动物群落个体数分布的关键驱动因子。研究表明,退耕还柠条林地和弃耕后自然恢复草地对土壤性质改善均具有显著影响,并且弃耕后自然恢复草地更有利于节肢动物多样性的恢复。