1982-2020年东北森林带植被绿度时空变化特征

植被绿度变化（绿化或褐化）的时空格局研究有助于了解生态系统结构和功能的变化,制定适应气候变化的生态系统管理政策。在全球气候变化加剧的背景下,过去40a间东北森林带植被绿度如何变化仍不清楚。基于气象再分析数据分析了1982-2020年来东北森林带的气候变化趋势,以叶面积指数（LAI）作为植被绿度的衡量指标分析了东北森林带中大兴安岭、小兴安岭和长白山脉植被绿度的时空变化格局和影响因素。研究发现：1982-2020年东北森林带气候趋势呈现"暖干化"特征。研究区植被绿度总体呈绿化趋势,但2000年后植被绿度变化呈降低趋势的区域增加了7.23倍,主要位于大兴安岭西北部。影响因素分析表明,1982-2000年温度和土壤水分是植被绿度增加的主要驱动因素;而2000年之后,区域内植被绿化的主要驱动因素为土壤水分的增加,降雨和相对湿度降低引起的水分胁迫导致大兴安岭西北部植被褐化加剧。研究结果为揭示东北森林带固碳能力变化、制定适应气候变化的林业管理对策提供了科学参考。     

植被恢复对西南喀斯特地区土壤气候韧性的提升作用

土壤质量提升是生态系统应对气候变化能力增强的关键。为探究气候变化背景下不同植被恢复方式对喀斯特地区土壤质量的影响,基于黔桂喀斯特地区气候梯度样带84个样方土壤物理、化学和生物性质综合分析,分别以耕地和次生林作为退化和顶级恢复对照,探讨了自然恢复(灌木林)和人工恢复(人工林)的土壤质量提升效应及其对气候变化的响应。结果表明:(1)植被恢复不仅显著提高了土壤细菌、真菌、放线菌等微生物丰度以及有机碳、全氮、速效氮等养分含量,也对土壤质地有一定改善;(2)自然恢复和人工恢复均提高了土壤质量,两种恢复方式之间土壤质量指数无显著差异,但与次生林依然存在差距。灌木林和人工林的土壤质量仅约为次生林土壤质量的62%-66%;(3)耕地土壤质量随年均温和年平均降雨量的增加而下降,次生林的土壤质量随年平均降雨量的增加而上升,植被恢复对土壤质量的提升率与年均温和年平均降雨量呈正相关关系。阐明了在一定范围的气候变化下进行植被恢复可以显著提升喀斯特地区土壤的气候韧性,揭示了喀斯特地区植被恢复对土壤质量的提升主要是由于提高了土壤碳氮养分含量及改善了土壤微生物群落结构,这为全球气候变化背景下喀斯特退化土地生态恢复和管理提供了理论依据。     

2000-2019年四川省植被恢复成效与影响因素

国家实施天然林资源保护工程与退耕还林等生态建设工程,为构筑长江上游生态屏障、促进长江流域经济可持续发展做出了突出贡献;评估退耕还林等生态工程实施后植被恢复成效及影响因素是促进区域植被恢复优化与生态环境改善的关键一步。基于MODIS MOD13Q1数据,应用Theil Sen斜率与Mann-Kendall趋势检验、“基线”评价方法、时空地理加权回归模型等量化不同时间尺度的植被时空变化、恢复成效和恢复机制。结果表明(1)植被覆盖状况良好,截止2019年底,四川省91%的区域植被出现增长,四川盆地东北部、四川省南部地区以及东南部乌蒙山、川西北高原地区植被覆盖较高;成都市内以及周围市区植被覆盖率较低。(2)植被恢复成效时空差异显著,占全省面积98.68%的区域植被恢复成效明显,高值区面积占比71.47%,集中于除成都平原外的四川省绝大部分区域。(3)气候变化对植被变化的影响以不显著为主,气温、降水对四川省植被恢复影响微弱,海拔和>35°坡度面积比等地理环境因子则以弱抑制作用为主。(4)在相对平稳的气候背景下,人均财政支出、耕地面积与人均GDP所代表的社会经济因素是植被恢复成效改善的重要影...     

Importance of recent shifts in soil thermal dynamics on growing season length, productivity, and carbon sequestration in terrestrial high-latitude ecosystems

In terrestrial high‐latitude regions, observations indicate recent changes in snow cover, permafrost, and soil freeze–thaw transitions due to climate change. These modifications may result in temporal shifts in the growing season and the associated rates of terrestrial productivity. Changes in productivity will influence the ability of these ecosystems to sequester atmospheric CO₂. We use the terrestrial ecosystem model (TEM), which simulates the soil thermal regime, in addition to terrestrial carbon (C), nitrogen and water dynamics, to explore these issues over the years 1960–2100 in extratropical regions (30–90°N). Our model simulations show decreases in snow cover and permafrost stability from 1960 to 2100. Decreases in snow cover agree well with National Oceanic and Atmospheric Administration satellite observations collected between the years 1972 and 2000, with Pearson rank correlation coefficients between 0.58 and 0.65. Model analyses also indicate a trend towards an earlier thaw date of frozen soils and the onset of the growing season in the spring by approximately 2–4 days from 1988 to 2000. Between 1988 and 2000, satellite records yield a slightly stronger trend in thaw and the onset of the growing season, averaging between 5 and 8 days earlier. In both, the TEM simulations and satellite records, trends in day of freeze in the autumn are weaker, such that overall increases in growing season length are due primarily to earlier thaw. Although regions with the longest snow cover duration displayed the greatest increase in growing season length, these regions maintained smaller increases in productivity and heterotrophic respiration than those regions with shorter duration of snow cover and less of an increase in growing season length. Concurrent with increases in growing season length, we found a reduction in soil C and increases in vegetation C, with greatest losses of soil C occurring in those areas with more vegetation, but simulations also suggest that this trend could reverse in the future. Our results reveal noteworthy changes in snow, permafrost, growing season length, productivity, and net C uptake, indicating that prediction of terrestrial C dynamics from one decade to the next will require that large‐scale models adequately take into account the corresponding changes in soil thermal regimes.     

黄土高原流域水沙变化研究进展

人类活动和气候变化是影响流域水文过程的两大驱动因素,径流输沙是流域水文过程的总体反映,变化环境下径流输沙的变化规律与成因分析是水文学和全球变化研究的热点问题。黄土高原是我国水土流失最严重的地区。20世纪50年代以来,黄土高原地区开展了大规模的生态环境建设和水土流失综合治理,显著改变了流域土地利用和植被覆盖。下垫面条件改变与气候变化综合作用,使得流域水沙情势发生剧变。围绕黄土高原流域水沙变化的时空尺度特征与驱动机制,总结了径流输沙和水沙关系变化特征的研究结果,归纳了径流输沙变化的归因分析方法与人类活动和气候变化影响的贡献分割结果,探讨了气候变化、植被恢复、水土保持工程措施以及流域景观格局对水沙变化的影响机制。未来应加强流域水沙演变的时空尺度特征特别是水沙关系非线性特征的定量研究,阐明极端事件对水沙动态的影响与贡献;开展水沙变化影响机制的多要素综合解析,发展耦合地表覆被动态特征和气候变化的降雨-径流-输沙模型,揭示生态恢复与水沙演变过程互馈机制;开展未来气候变化、社会经济发展和生态建设工程情景下水沙动态的趋势预测,为黄土高原生态综合治理和水资源管理与黄河水沙调控提供策略建议。     

Assessment of soil and vegetation changes due to hydrologically driven desalinization process in an alkaline wetland,Hungary

This study investigates a soil–water–vegetation system in a drying-out alkaline sodic wetland altered by climate change and artificial drainage by evaluating the habitat pattern and the physical and chemical attributes of the upper soil. The spatial and temporal alteration of the vegetation was monitored by detailed coenological investigations and habitat mapping during a 13-year period (2002–2014) to analyse the succession trend of the habitat in the changing environment. The spatial structures of the physical and chemical attributes of the soil were surveyed by topsoil sampling along a regular network to detect the desalinization process and to reveal the discrepancies between the soil attributes and the typical habitats because anomalies between the habitat and its optimal soil properties can project a possible vegetation change in a dynamically changing sodic ecosystem. The micro-topography was investigated to detect the effect of the elevation difference on the hydrologic conditions, soil and vegetation attributes. Statistical analyses were performed to describe the characteristic pedological processes and the spatial structures of the soil parameters. An overlapping analysis was conducted to compare the soil, vegetation pattern and topography to explore the relationships in the altering soil–water–vegetation system.Rapid alterations of the habitats, species composition, and soil desalinization processes were clearly recognised. The rate of change reflects degradation beyond the natural dynamics of vegetation processes. The desalinization process was extremely rapid due to the sandy sediment. The significant changes in the vegetation and soil pattern led to the loss of diversity in the short term; annual salt pioneer swards and Puccinellia swards became highly threatened. The main driving factors in the desalinization process are water shortage caused by artificial drainage and climate change, furthermore extreme high precipitation which intensifies leaching. The degradation process can be mitigated by adequate water management because habitats have a high naturalness reflecting good regeneration potential.     

Combined effects of nitrogen enrichment, sulphur pollution and climate change on fen meadow vegetation N:P stoichiometry and biomass

Nitrogen (N) and sulphur (S) deposition, as well as altered soil moisture dynamics due to climate change can have large effects on fen meadow biogeochemistry and vegetation. Their combined effects may differ strongly from their separate effects, since each process affects different nutrients through different mechanisms. However, the impacts of these environmental problems are rarely studied in combination. We therefore investigated the separate and interactive effects of current levels of N- and S-deposition and changes in soil moisture dynamics on fen meadow vegetation. We focused on vegetation biomass and N:P stoichiometry, including access to soil P through root surface phosphatase activity, in a 3-year factorial addition experiment in an N-limited rich fen meadow in the Biebrza valley in Poland. We applied 29.5 kg N ha^?1 year^?1 and 32.1 kg S ha^?1 year^?1, which correspond to current deposition levels in Western Europe. Changes in soil moisture dynamics due to climate change were mimicked by amplified drying of the soil in summer. This level of N-deposition had limited effects on plant biomass production in this rich fen, despite low foliar N:P ratios that suggest N limitation. This level of S-deposition, however, resulted in decreased vegetation P-uptake and biomass. We also showed that increased summer drought resulted in considerable increases in vegetation biomass. We found no interactive effects on vegetation biomass or N:P stoichiometry, possibly as a result of the limited main effects of the separate processes.     

Convergent ecosystem responses to 23‐year ambient and manipulated warming link advancing snowmelt and shrub encroachment to transient and long‐term climate–soil carbon feedback

Ecosystem responses to climate change can exert positive or negative feedbacks on climate, mediated in part by slow‐moving factors such as shifts in vegetation community composition. Long‐term experimental manipulations can be used to examine such ecosystem responses, but they also present another opportunity: inferring the extent to which contemporary climate change is responsible for slow changes in ecosystems under ambient conditions. Here, using 23 years of data, we document a shift from nonwoody to woody vegetation and a loss of soil carbon in ambient plots and show that these changes track previously shown similar but faster changes under experimental warming. This allows us to infer that climate change is the cause of the observed shifts in ambient vegetation and soil carbon and that the vegetation responses mediate the observed changes in soil carbon. Our findings demonstrate the realism of an experimental manipulation, allow attribution of a climate cause to observed ambient ecosystem changes, and demonstrate how a combination of long‐term study of ambient and experimental responses to warming can identify mechanistic drivers needed for realistic predictions of the conditions under which ecosystems are likely to become carbon sources or sinks over varying timescales.     

Simulating climate change impacts on fire frequency and vegetation dynamics in a Mediterranean-type ecosystem

The impacts of climate change on Mediterranean‐type ecosystems may result from complex interactions between direct effects on water stress and subsequent modifications in flammability and fire regime leading to changes in standing biomass and plant species composition. We analysed these interrelations through a simulation approach combining scenarios of climate change developed from GCM results and a multispecies functional model for vegetation dynamics, SIERRA. A fire risk procedure based on weekly estimates of vegetation water stress has been implemented. Using climate data from 1960 to 1997, simulations of a typical maquis woodland community have been performed as baseline and compared with two climate scenarios: a change in the rainfall regime alone, and changes in both rainfall and air temperature. Climate changes are defined by an increase in temperature, particularly in summer, and a change in the rainfall pattern leading to a decrease in low rainfall events, and an increase in intense rainfall events. The results illustrate the lack of drastic changes in the succession process, but highlight modifications in the water budget and in the length of the drought periods. Water stress lower than expected regarding statistics on the current climate is simulated, emphasizing a long‐term new equilibrium of vegetation to summer drought but with a higher sensibility to rare events. Regarding fire frequency, climate changes tend to decrease the time interval between two successive fires from 20 to 16 years for the maquis shrubland and from 72 to 62 years in the forested stages. This increase in fire frequency leads to shrub‐dominated landscapes, which accentuates the yield of water by additional deep drainage and runoff.     

Increased topsoil carbon stock across China's forests

Biomass carbon accumulation in forest ecosystems is a widespread phenomenon at both regional and global scales. However, as coupled carbon–climate models predicted, a positive feedback could be triggered if accelerated soil carbon decomposition offsets enhanced vegetation growth under a warming climate. It is thus crucial to reveal whether and how soil carbon stock in forest ecosystems has changed over recent decades. However, large‐scale changes in soil carbon stock across forest ecosystems have not yet been carefully examined at both regional and global scales, which have been widely perceived as a big bottleneck in untangling carbon–climate feedback. Using newly developed database and sophisticated data mining approach, here we evaluated temporal changes in topsoil carbon stock across major forest ecosystem in China and analysed potential drivers in soil carbon dynamics over broad geographical scale. Our results indicated that topsoil carbon stock increased significantly within all of five major forest types during the period of 1980s–2000s, with an overall rate of 20.0 g C m^?2 yr^?1 (95% confidence interval, 14.1–25.5). The magnitude of soil carbon accumulation across coniferous forests and coniferous/broadleaved mixed forests exhibited meaningful increases with both mean annual temperature and precipitation. Moreover, soil carbon dynamics across these forest ecosystems were positively associated with clay content, with a larger amount of SOC accumulation occurring in fine‐textured soils. In contrast, changes in soil carbon stock across broadleaved forests were insensitive to either climatic or edaphic variables. Overall, these results suggest that soil carbon accumulation does not counteract vegetation carbon sequestration across China's forest ecosystems. The combination of soil carbon accumulation and vegetation carbon sequestration triggers a negative feedback to climate warming, rather than a positive feedback predicted by coupled carbon–climate models.     

Climate change‐induced vegetation shifts lead to more ecological droughts despite projected rainfall increases in many global temperate drylands

Drylands occur worldwide and are particularly vulnerable to climate change because dryland ecosystems depend directly on soil water availability that may become increasingly limited as temperatures rise. Climate change will both directly impact soil water availability and change plant biomass, with resulting indirect feedbacks on soil moisture. Thus, the net impact of direct and indirect climate change effects on soil moisture requires better understanding. We used the ecohydrological simulation model SOILWAT at sites from temperate dryland ecosystems around the globe to disentangle the contributions of direct climate change effects and of additional indirect, climate change‐induced changes in vegetation on soil water availability. We simulated current and future climate conditions projected by 16 GCMs under RCP 4.5 and RCP 8.5 for the end of the century. We determined shifts in water availability due to climate change alone and due to combined changes of climate and the growth form and biomass of vegetation. Vegetation change will mostly exacerbate low soil water availability in regions already expected to suffer from negative direct impacts of climate change (with the two RCP scenarios giving us qualitatively similar effects). By contrast, in regions that will likely experience increased water availability due to climate change alone, vegetation changes will counteract these increases due to increased water losses by interception. In only a small minority of locations, climate change‐induced vegetation changes may lead to a net increase in water availability. These results suggest that changes in vegetation in response to climate change may exacerbate drought conditions and may dampen the effects of increased precipitation, that is, leading to more ecological droughts despite higher precipitation in some regions. Our results underscore the value of considering indirect effects of climate change on vegetation when assessing future soil moisture conditions in water‐limited ecosystems.     

准噶尔盆地植被与土壤盐渍化关联性变化趋势分析

准噶尔盆地作为北疆地区主要的气候单元其环境变化会影响北疆地区整体的的生态环境变化。植被作为衡量区域生态环境的重要指标直接反映了准噶尔盆地的生态状况,近年来受到全球气候变化的影响准噶尔盆地地区气候格局发生改变,盆地相比于往年降水和气温明显升高,这种改变影响了盆地的植被变化同时也会在部分地区诱发土壤盐渍化灾害。土壤盐渍化是我国西北地区常见的导致植被退化的因素,其生成原因与地形和气候因素有关。为了探究准噶尔盆地植被变化与土壤盐渍化的关联性,基于2002-2019年生长季MOD09A1遥感影像数据,利用最大值合成法、Mann-Kendall趋势分析,Hurst趋势分析法、相关性分析等方法对准噶尔盆地植被和土壤盐渍化变化趋势以及两者的关联性进行了分析。结果表明,受区域降水和气温升高的影响,近20年来准噶尔盆地生长季植被整体呈增加趋势,各季节增加区域面积占比为63.50%-90.93%,平均为77.98%。土壤盐渍化呈减少趋势,各季减少区域面积占比为46.50%-86.78%,平均为70.68%。在地形低洼、排水不畅的区域土壤盐渍化程度加重,植被因盐分胁迫导致衰退,植被减少及巨大的蒸发降水比使得该地区土壤进一步变干,湿度降低。关联性分析结果表明各季植被与土壤盐渍化的变化中呈显著负相关的区域面积占比为37.36%-57.83%,平均为51.75%。Hurst趋势预测结果表明,当前植被和土壤盐渍化两者呈显著性变化的区域未来预测与当前变化方向相同,两者呈一般性变化的区域未来预测与当前相反。研究有助于在全球气候变化背景下了解准噶尔盆地近年来生态环境变化,结果为区域生态环境的可持续发展提供参考。     

典型红壤区自然生态修复的适用性

自然修复主要通过封山育林、禁止农作、禁牧禁伐措施,减少人类对环境的扰动,利用自然生态环境的自我演替能力,恢复生态环境,实现生态平衡。自然修复作为一种成本低、无污染的生态修复手段很早就受到人们重视,但关于自然修复适用范围的研究较少。为了正确认识自然修复的适用性,选择了我国南方红壤地区长期遭受严重土壤侵蚀危害的福建省长汀县为研究对象,通过对长期自然修复样地的监测资料分析,发现在坡度条件为20%—30%下,当植被覆盖度低于20%的退化阈值时,严重的土壤侵蚀引发的土壤肥力损失将导致生态系统自我退化,自然修复不仅无法改善当地的生态系统,反而会引起生态系统的进一步恶化。由此可见,自然修复并不适合所有的生态系统,当生态系统退化到一定程度时,退化生态系统必须通过人工干预来修复。因此,必须探索适合当地的生态修复模式,在生态系统退化突破阈值时,红壤丘陵区应通过恢复土壤肥力、促进自然植被覆盖度增加、综合提高生态系统健康水平。     

延安市生态修复双赢模式实证研究

"越穷越垦、越垦越穷"的贫困陷阱是困扰全球可持续发展的学术难题之一,探索摆脱贫困陷阱的有效途径,是生态修复的核心目标。因此,生态修复不仅要依据当地气候与地理条件开展生态治理,同时要改变当地居民的生产生活行为,发展有利于生态修复的绿色产业,使当地居民的生产生活行为既可以提高收入、改善生活,又有利于生态修复。从而摆脱"越穷越垦、越垦越穷"的被动局面,实现生态修复与居民生计改善的双赢目标。为了验证这一模式的可行性,该研究在退耕还林项目实施的基础上,通过补短板的方式,在延安市开展了生态修复双赢模式实证研究。结果表明,新方案实施前,延安市NDVI增长速度是陕西省平均水平的41%;新方案实施后,是陕西省平均水平的195%,新方案的贡献率为74.0%。双赢模式较好解决了环境保护与社会经济发展彼此分离的这一矛盾,提高了生态修复的治理效果,为我国生态脆弱区精准扶贫和生态文明建设提供了理论依据和治理样板。     

Global patterns in the vulnerability of ecosystems to vegetation shifts due to climate change

Aim Climate change threatens to shift vegetation, disrupting ecosystems and damaging human well‐being. Field observations in boreal, temperate and tropical ecosystems have detected biome changes in the 20th century, yet a lack of spatial data on vulnerability hinders organizations that manage natural resources from identifying priority areas for adaptation measures. We explore potential methods to identify areas vulnerable to vegetation shifts and potential refugia. Location Global vegetation biomes. Methods We examined nine combinations of three sets of potential indicators of the vulnerability of ecosystems to biome change: (1) observed changes of 20th‐century climate, (2) projected 21st‐century vegetation changes using the MC1 dynamic global vegetation model under three Intergovernmental Panel on Climate Change (IPCC) emissions scenarios, and (3) overlap of results from (1) and (2). Estimating probability density functions for climate observations and confidence levels for vegetation projections, we classified areas into vulnerability classes based on IPCC treatment of uncertainty. Results One‐tenth to one‐half of global land may be highly (confidence 0.80–0.95) to very highly (confidence ≥ 0.95) vulnerable. Temperate mixed forest, boreal conifer and tundra and alpine biomes show the highest vulnerability, often due to potential changes in wildfire. Tropical evergreen broadleaf forest and desert biomes show the lowest vulnerability. Main conclusions Spatial analyses of observed climate and projected vegetation indicate widespread vulnerability of ecosystems to biome change. A mismatch between vulnerability patterns and the geographic priorities of natural resource organizations suggests the need to adapt management plans. Approximately a billion people live in the areas classified as vulnerable.     

气候变化和人类活动对中国北方旱区植被变绿的定量贡献

气候变化和大规模的生态恢复使中国北方旱区植被发生了显著变化,量化气候变化和人类活动对植被动态的相对贡献,对于旱区生态系统管理和应对未来气候变化具有重要意义。目前,中国北方旱区植被变化影响因素的时间动态（2000年大规模生态恢复工程实施前后）和空间异质性（沿干旱梯度）仍需进一步的定量研究。基于多源数据,采用趋势分析、偏相关分析和随机森林模型等方法,分析了1981-2018年中国北方旱区气候和植被的时空变化规律,量化了2000年前后气候变化和人类活动对植被动态的相对贡献并分析其在干旱梯度上的空间差异性。结果表明：（1）1981-2018年期间,中国北方旱区的叶面积指数（LAI）平均增加速率为（0.0037±0.0443） a^-1,且增加速率沿干旱梯度增大。2000年前仅10.46%（P<0.05）的地区显著变绿,而2000年后达到36.84%,且植被变绿主要归因于非树木植被。（2）2000年后降水对植被变绿的正效应在不同干旱梯度均增加,而在半干旱区和亚湿润干旱区,温度对植被变绿由正向促进转为负向抑制,而辐射在干旱区由负效应转向正效应。（3）2000年前后,气候变化均主导着植被的动态,贡献率分别为96.07%和73.72%,人类活动的贡献在2000年后进一步增强（从3.93%增加到26.28%）,且沿着干旱梯度而增加,其中人类活动对植被变绿的贡献在半干旱地区增加最显著（+0.0289 m² m^-2 a^-1,P<0.05）。研究结果可为未来气候变化下中国北方旱区的植被恢复和可持续发展提供科学依据。     

Climate warming and land‐use changes drive broad‐scale floristic changes in Southern Sweden

Land‐use changes, pollution and climate warming during the 20th century have caused changes in biodiversity across the world. However, in many cases, the environmental drivers are poorly understood. To identify and rank the drivers currently causing broad‐scale floristic changes in N Europe, we analysed data from two vascular plant surveys of 200 randomly selected 2.5 × 2.5 km grid‐squares in Scania, southernmost Sweden, conducted 1989–2006 and 2008–2015, respectively, and related the change in frequency (performance) of the species to a wide range of species‐specific plant traits. We chose traits representing all plausible drivers of recent floristic changes: climatic change (northern distribution limit, flowering time), land‐use change (light requirement, response to grazing/mowing, response to soil disturbance), drainage (water requirement), acidification (pH optimum), nitrogen deposition and eutrophication (N requirement, N fixation ability, carnivory, parasitism, mycorrhizal associations), pollinator decline (mode of reproduction) and changes in CO₂ levels (photosynthetic pathway). Our results suggest that climate warming and changes in land‐use were the main drivers of changes in the flora during the last decades. Climate warming appeared as the most influential driver, with northern distribution limit explaining 30%–60% of the variance in the GLMM models. However, the relative importance of the drivers differed among habitat types, with grassland species being affected the most by cessation of grazing/mowing and species of ruderal habitats by on‐going concentration of both agriculture and human population to the most productive soils. For wetland species, only pH optimum was significantly related to species performance, possibly an effect of the increasing humification of acidic water bodies. An observed relative decline of mycorrhizal species may possibly be explained by decreasing nitrogen deposition resulting in less competition for phosphorus. We found no effect of shortage or decline of pollinating lepidopterans and bees.     

黄土高原区主导生态风险识别及分异性研究——以黄河流域中游为例

黄河流域作为典型的生态脆弱区,其生态问题复杂多样,亟待全面的生态治理和修复。同时,黄河流域生态保护和高质量发展是当前我国发展战略之一。明确黄河流域存在的生态问题,做好区域生态修复,开展综合治理是黄河流域可持续发展的重点。因此把握黄河流域的自然条件的区域差异,开展综合性的生态风险识别与评价,明确区域风险空间异质性分布与特点,是服务于区域生态修复、促进黄河流域高质量发展的重点。结合黄河流域中游气候、地形、植被等多自然本底情况识别风险源,建立服务于研究区生态保护和修复的区域生态风险评价体系,并通过GEE和GIS平台,可视化和量化了各类生态风险,并采用空间相关分析明确了生态风险的主要成因。结果表明：1）研究区的生态风险空间分布具有显著的区域特征,各个要素的生态风险呈现明显的东南和西北的差异、不同土地覆被情况的差异、人类活动带与非人类活动带的差异以及河流沿河与非沿岸的差异;2）植被净生态系统生产力呈现东南高西北低的特征,温度植被干旱指数显示西北部、山西、陕西南部存在较高的干旱风险,土壤侵蚀风险主要存在于黄河沿岸、其他河谷地带以及西北部,防风固沙服务能力在山西省山区以及植被生长较好的地区较高;3）综合生态风险评价显示宁夏以及陕西北部多数地区属于高风险区,低风险区主要分布在研究区西南部以及山西省西部沿线地区;4）双变量的Moran''s I指数显示地表温度、植被覆盖和汛期降水是导致综合生态风险西北和东南差异的主要原因,坡度是导致局部风险差异的主要原因。     

土壤微生物对气候变暖和大气N沉降的响应

气候变暖和大气N沉降是近一、二十年来人们非常关注的全球变化现象,它们所带来的一系列生态问题已成为全球变化研究的重要议题。它们不仅影响地上植被生长和群落组成,还直接或间接地影响土壤微生物过程,而土壤微生物对此做出的响应正是生态系统反馈过程中非常重要的环节。该文分别从气候变化对土壤微生物的影响(土壤微生物量、微生物活动和微生物群落结构)和土壤微生物对气候变化的响应(凋落物分解、养分利用与循环以及养分的固持与流失)两个角度,综述近期土壤微生物对气候变暖和大气N沉降响应与适应的研究进展。气候变暖和大气N沉降对土壤微生物的影响更多地反映在微生物群落的结构和功能上,而土壤微生物量、微生物活动和群落结构的变化又会通过改变凋落物分解、养分利用和C、N循环等重要的土壤生态系统功能和过程做出响应,形成正向或负向反馈,加强或削弱气候变化给整个陆地生态系统带来的影响。然而,到目前为止土壤微生物的响应对陆地生态系统产生的最终结果仍是未决的关键性问题。     

Shifts in frog size and phenology: Testing predictions of climate change on a widespread anuran using data from prior to rapid climate warming

Changes in body size and breeding phenology have been identified as two major ecological consequences of climate change, yet it remains unclear whether climate acts directly or indirectly on these variables. To better understand the relationship between climate and ecological changes, it is necessary to determine environmental predictors of both size and phenology using data from prior to the onset of rapid climate warming, and then to examine spatially explicit changes in climate, size, and phenology, not just general spatial and temporal trends. We used 100 years of natural history collection data for the wood frog, Lithobates sylvaticus with a range >9 million km², and spatially explicit environmental data to determine the best predictors of size and phenology prior to rapid climate warming (1901–1960). We then tested how closely size and phenology changes predicted by those environmental variables reflected actual changes from 1961 to 2000. Size, phenology, and climate all changed as expected (smaller, earlier, and warmer, respectively) at broad spatial scales across the entire study range. However, while spatially explicit changes in climate variables accurately predicted changes in phenology, they did not accurately predict size changes during recent climate change (1961–2000), contrary to expectations from numerous recent studies. Our results suggest that changes in climate are directly linked to observed phenological shifts. However, the mechanisms driving observed body size changes are yet to be determined, given the less straightforward relationship between size and climate factors examined in this study. We recommend that caution be used in “space‐for‐time” studies where measures of a species’ traits at lower latitudes or elevations are considered representative of those under future projected climate conditions. Future studies should aim to determine mechanisms driving trends in phenology and body size, as well as the impact of climate on population density, which may influence body size.