全球变化联网控制实验的创新性设计:以我国草地生态系统水热要素联网控制实验为例

全球变化已对陆地生态系统结构和功能产生深远影响,明确生态系统对全球变化的响应和适应机制是实现人类对生态系统服务可持续利用的前提.联网实验是理解区域乃至全球尺度生态系统结构功能对全球变化要素响应和适应的重要手段.科学的顶层设计有利于实现联网数据间融合、比对以及分析,进而支撑普适性生态学理论的发展.本文从全球变化联网控制实...     

若尔盖高原沼泽湿地与草地二氧化碳通量的比较

采用静止箱/气相色谱法,在2003—2005年的植物生长期对若尔盖高原沼泽湿地和草地的CO₂通量进行了对比观测.结果表明：若尔盖高原沼泽湿地和草地CO₂通量的平均值分别为203.22和323.03 mg·m^-2·h^-1,前者为后者的60%左右.沼泽湿地常年积水的环境条件限制了土壤中的植物残体、根系及有机物质的分解,是沼泽湿地CO₂通量低于草地并形成泥炭积累的重要因素.研究区沼泽湿地与草地CO₂通量的季节变化与气温变化呈正相关,峰值一般出现在7月和8月;其日变化也与气温呈正相关,峰值一般出现在11:00—17:00.5 cm深的土壤温度与CO₂通量的相关性高于10和15 cm深的土壤温度.     

基于Sentinel-2数据的草地植物功能多样性遥感反演及其与生产力的关系

生物多样性与生态系统功能的关系是当前生态学研究的焦点和难点。植物功能多样性是影响生态系统功能的重要指标, 开展植物功能多样性的研究对了解生物多样性与生态系统功能之间的关系有着重要意义。传统的草地植物功能多样性研究多以实地调查为主, 不仅费时费力, 而且由于受到时空的限制, 很难拓展到大尺度的研究中。遥感技术的发展为评估草地功能多样性提供了一种经济、有效的手段。该研究选取内蒙古自治区锡林郭勒盟乌拉盖管理区草甸草原为研究区, 利用Sentinel-2卫星影像和野外实测数据, 选取了波段及植被指数等46个特征变量, 探讨了逐步回归、偏最小二乘法(PLSR)和随机森林(RFR)等3种不同方法对草地植物功能丰富度(FRic)、功能均匀度(FEve)和功能离散度(FDiv)的反演精度, 并基于PLSR反演草地地上生物量, 进一步分析了研究区功能多样性与生产力的关系。研究结果表明: (1)波段B11、优化型土壤调节植被指数(OSAVI)、水波段指数(WBI)对FRic解释度最高; 波段B6、B10、B12、类胡萝卜素反射指数1 (CRI1)、双峰光学指数(D)、归一化差值指数45 (NDI45)等6个特征变量对FEve解释度最高; 波段B5、B9、B10、B11、加权差分植被指数(WDVI)、凸包面积等对FDiv解释度最高; (2)基于十折重复交叉验证, 利用逐步回归估算的FRic和FEve反演精度远高于其他两种回归方法, R²分别为0.52和0.44; 而利用PLSR方法估算的FDiv反演精度最高(R² = 0.61); (3)群落地上生物量反演精度为R² = 0.61; FRic与地上生产力的关系最好(R² = 0.40), 其次为FDiv (R² = 0.28)和FEve (R² = 0.27)。研究发现, 基于Sentinel-2卫星影像能较好地反演草地功能多样性和生产力, 为下一步能在大尺度上进行草地功能多样性估算及其与生产力关系研究提供了参考和依据。     

封育对羊草草地土壤碳矿化激发效应和温度敏感性的影响

土壤碳矿化(或土壤异养呼吸)的温度敏感性和激发效应是深入揭示土壤呼吸控制机理及其对未来气候变化响应与适应的重要研究方向。该文以自由放牧(FG0)、封育11年(FG11)、封育31年(FG31)的羊草(Leymus chinensis)草地为研究对象, 通过0、5、10、15、20、25 ℃培养, 探讨了封育对羊草草地土壤碳矿化激发效应和温度敏感性的影响。结果表明: 封育年限、添加葡萄糖、培养温度和培养时间对土壤碳矿化速率均具有显著的影响, 不同因素间存在显著的交互效应(p < 0.000 1)。FG0的羊草草地土壤碳矿化累积量显著高于FG11和FG31的, 在添加葡萄糖处理下也呈现相同的趋势。长期封育降低了羊草草地土壤碳矿化的激发效应。在添加葡萄糖后, 培养前7天的土壤碳矿化的激发效应随温度增加而增加, 增加2.28-9.01倍; 在整个56天培养期间, 激发效应介于2.21-5.10倍, 最高值出现在10或15 ℃。土壤碳矿化速率可用经典的指数方程来表示, FG0草地的土壤碳矿化的温度敏感性指数(Q₁₀)大于长期封育草地(FG11和FG31); 与未添加处理相比, 添加葡萄糖显著增加了土壤碳矿化速率的温度敏感性, 即在添加葡萄糖后土壤微生物呼吸受温度的影响更大。长期封育会降低羊草草地土壤的碳矿化速率、温度敏感性和激发效应, 从而降低土壤碳周转速率和释放速率, 使内蒙古地区长期封育草地仍然具有碳固持能力。     

极端干旱对草甸草原优势植物非结构性碳水化合物的影响

植物光合作用产生的非结构性碳水化合物(NSCs)水平可以反映植物和生态系统对环境变化的响应程度。近年来, 草原极端干旱事件的发生频率和持续时间增加趋势明显, 对生态系统结构和功能产生深远影响。该研究以内蒙古呼伦贝尔草甸草原为研究对象, 通过连续4年减少66%生长季降水量的控制实验来模拟极端干旱事件, 分析草原6种优势物种和植物功能群NSCs各组分对极端干旱的响应规律与机制。结果显示, 由于植物生物学、光合特性以及生理生态等特性的差异, 不同物种对干旱胁迫的响应具有明显差异。这表明草地植物NSCs组分及其利用策略对干旱胁迫的响应具有物种特异性, 从而导致其生物量的不同响应。将6种植物分为禾草和非禾草两类, 发现干旱显著增加了禾草的淀粉含量, 但对其可溶性糖含量无显著影响; 相反, 干旱显著增加了非禾草功能群的可溶性糖含量, 对其淀粉含量无显著影响, 表明不同功能群采取了不同的干旱应对策略。禾草选择将光合作用固定的能量进行储存以应对干旱胁迫, 其生物量对干旱响应不敏感; 而非禾草选择将能量以可溶性糖的形式直接供植物生长利用以及抵御干旱胁迫, 其生物量对干旱响应较为敏感。这一发现可为预测在全球气候变化背景下草甸草原生态系统结构与功能对极端干旱的响应提供科学参考。     

Nitrogen fertilization increases diversity and productivity of prairie communities used for bioenergy

Using prairie biomass as a renewable source of energy may constitute an important opportunity to improve the environmental sustainability of managed land. To date, assessments of the feasibility of using prairies for bioenergy production have focused on marginal areas with low yield potential. Growing prairies on more fertile soil or with moderate levels of fertilization may be an effective means of increasing yields, but increased fertility often reduces plant community diversity. At a fertile site in central Iowa with high production potential, we tested the hypothesis that nitrogen fertilization would increase aboveground biomass production but would decrease diversity of prairies sown and managed for bioenergy production. Over a 3 year period (years 2–4 after seeding), we measured aboveground biomass after plant senescence and species and functional‐group diversity in June and August for multispecies mixtures of prairie plants that received no fertilizer or 84 kg N ha^?1 year^?1. We found that nitrogen fertilization increased aboveground biomass production, but with or without fertilization, the prairies produced a substantial amount of biomass: averaging (±SE) 12.2 ± 1.3 and 9.1 ± 1.0 Mg ha^?1 in fertilized and unfertilized prairies, respectively. Unfertilized prairies had higher species diversity in June, whereas fertilized prairies had higher species diversity in August at the end of the study period. Functional‐group diversity was almost always higher in fertilized prairies. Composition of unfertilized prairies was characterized by native C₄ grasses and legumes, whereas fertilized prairies were characterized by native C₃ grasses and forbs. Although most research has found that nitrogen fertilization reduces prairie diversity, our results indicate that early‐spring nitrogen fertilization, when used with a postsenescence annual harvest, may increase prairie diversity. Managing prairies for bioenergy production, including the judicious use of fertilization, may be an effective means of increasing the amount of saleable products from managed lands while potentially increasing plant diversity.     

松嫩平原羊草、虎尾草群落钙元素时空分布的比较研究

本文分析了松嫩平原羊草（Ｌｅｙｍｕｓｃｈｉｎｅｎｓｉｓ）群落和虎尾草（Ｃｈｌｏｒｉｓｖｉｒｇａｔａ）群落钙元素在土壤中和植物体中的分布特征及季节动态,以及土壤中钠钙含量的关系。结果表明,两种群落的土壤水溶性和交换性钙含量均为春秋两季较高,夏季较低,优势种植物体中钙的含量为羊草明显高于虎尾草,根部均高于其它部位。两种群落土壤中交换性钙的垂直分布均以表层最低,并随着土层深度而逐渐增加,其中羊草群落各土层的含量均高于虎尾草群落。     

Modeling grassland aboveground biomass using a pure vegetation index

Remote sensing can be the most effective means of scaling up grassland aboveground biomass (AGB) from the sample scale to the regional scale. Among the remote-sensing approaches, statistical models based on the vegetation index (VI) are frequently used to retrieve grassland AGB because of their simplicity and reliability. However, these types of models have never been comprehensively optimized to overcome VI insensitivity and soil effects. Because grassland AGB is related to grassland type, in our research the integrated orderly classification system for grassland (IOCSG) was used to differentiate grassland types. The study area, located in Inner Mongolia, China, included desert steppe, typical steppe and meadow steppe. A pure VI (PVI) was extracted from the normal VI using spectral mixture analysis (SMA). Using a proportional relationship, PVI models were then constructed based on grassland type. The results demonstrated that the PVI models can have clear advantages over the more commonly used VI models. They simplify the parameterization of VI models and thus enhance models constructed for different regions with different remote sensing data sources. Notably, detailed differentiation of grassland types can improve the accuracy of AGB estimates. The methodology proposed in this study is particularly beneficial for AGB estimates at a national scale, especially for countries such as China with many grassland types.