Forecasting intensifying disturbance effects on coral reefs

Anticipating future changes of an ecosystem's dynamics requires knowledge of how its key communities respond to current environmental regimes. The Great Barrier Reef (GBR) is under threat, with rapid changes of its reef‐building hard coral (HC) community structure already evident across broad spatial scales. While several underlying relationships between HC and multiple disturbances have been documented, responses of other benthic communities to disturbances are not well understood. Here we used statistical modelling to explore the effects of broad‐scale climate‐related disturbances on benthic communities to predict their structure under scenarios of increasing disturbance frequency. We parameterized a multivariate model using the composition of benthic communities estimated by 145,000 observations from the northern GBR between 2012 and 2017. During this time, surveyed reefs were variously impacted by two tropical cyclones and two heat stress events that resulted in extensive HC mortality. This unprecedented sequence of disturbances was used to estimate the effects of discrete versus interacting disturbances on the compositional structure of HC, soft corals (SC) and algae. Discrete disturbances increased the prevalence of algae relative to HC while the interaction between cyclones and heat stress was the main driver of the increase in SC relative to algae and HC. Predictions from disturbance scenarios included relative increases in algae versus SC that varied by the frequency and types of disturbance interactions. However, high uncertainty of compositional changes in the presence of several disturbances shows that responses of algae and SC to the decline in HC needs further research. Better understanding of the effects of multiple disturbances on benthic communities as a whole is essential for predicting the future status of coral reefs and managing them in the light of new environmental regimes. The approach we develop here opens new opportunities for reaching this goal.     

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.     

大兴安岭泥炭地不同菌根类型木本植物叶片凋落物分解及其温度敏感性差异

以我国大兴安岭多年冻土区泥炭地常见的3种外生菌根木本植物(细叶沼柳Salix rosmarinifolia、白桦Betula platyphylla和柴桦B.fruticosa)和4种欧石楠菌根木本植物(笃斯越桔Vaccinium uliginosum、狭叶杜香Ledum palustre、甸杜Chamaedaphne calyculata和小叶杜鹃Rhododendron parrifolum)为研究对象,通过315天培养试验测定10和20℃叶片凋落物分解过程中的碳(C)累积矿化量和重量损失,并分析其温度敏感性。结果表明:外生菌根植物叶片凋落物的C矿化量和重量损失在10和20℃均高于欧石楠菌根植物;外生菌根植物凋落物分解过程中C矿化量的温度敏感性系数高于欧石楠菌根植物,但重量损失的温度敏感性系数低于欧石楠菌根植物;在每一培养温度下,C矿化量和重量损失均与凋落物全氮(N)和全磷(P)浓度呈正相关,与C/N和C/P呈负相关;尽管C矿化量的温度敏感性系数与凋落物初始化学组成无显著相关性,但重量损失的温度敏感性系数与凋落物全N和全P浓度呈负相关,与C/N和C/P呈正相关。本研究结果为认识和预测气候变暖及其引起的物种组成变化对北方泥炭地植物凋落物分解的影响提供理论依据。     

Linking Physiology To Ecological Function: Environmental Conditions Affect Performance And Size Of The Intertidal Kelp Hedophyllum Sessile (Laminariales,Phaeophyceae)

For autogenic ecosystem engineers, body size is an aspect of individual performance that has direct connections to community structure; yet the complex morphology of these species can make it difficult to draw clear connections between the environment and performance. We combined laboratory experiments and field surveys to test the hypothesis that individual body size was determined by disparate localized physiological responses to environmental conditions across the complex thallus of the intertidal kelp Hedophyllum sessile, a canopy‐forming physical ecosystem engineer. We documented substantial (> 40%) declines in whole‐thallus photosynthetic potential (as Maximum Quantum Yield, MQY) as a consequence of emersion, which were related to greater than 10‐fold increases in intra‐thallus MQY variability (as Coefficient of Variation). In laboratory experiments, desiccation and high light levels during emersion led to lasting impairment of photosynthetic potential and an immediate > 25% reduction in area due to tissue contraction, which was followed by complete loss of structural integrity after three days of submersion. Tissue exposed to desiccation and high light during emersion had higher nitrogen concentrations and lower phlorotannin concentrations than tissue in control treatments (on average 1.36 and 0.1x controls, respectively), suggesting that conditions during emersion have the potential to affect food quality for consumers. Our data indicate that the complex thallus morphology of H. sessile may be critical to this kelp’s ability to persist in the intertidal zone despite the physiological challenges of emersion and encourage a more nuanced view of the concept of “sub‐lethal stress” on the scale of the whole individual.     

Modeling Cumulative Effects of Climate and Development on Moose,Wolf, and Caribou Populations

Wildlife models focused solely on a single strong influence (e.g., habitat components, wildlife harvest) are limited in their ability to detect key mechanisms influencing population change. Instead, we propose integrated modeling in the context of cumulative effects assessment using multispecies population dynamics models linked to landscape-climate simulation at large spatial and temporal scales. We developed an integrated landscape and population simulation model using ALCES Online as the model-building platform, and the model accounted for key ecological components and relationships among moose (Alces alces), grey wolves (Canis lupus nubilus), and woodland caribou (Rangifer tarandus caribou) in northern Ontario, Canada. We simulated multiple scenarios over 5 decades (beginning 2020) to explore sensitivity to climate change and land use and assessed effects at multiple scales. The magnitude of effect and the relative importance of key factors (climate change, roads, and habitat) differed depending on the scale of assessment. Across the full extent of the study area (654,311km² [ecozonal scale]), the caribou population declined by 26% largely because of climate change and associated predator-prey response, which led to caribou range recession in the southern part of the study area. At the caribou range scale (108,378 km²), which focused on 2 herds in the northern part of the study area, climate change led to a 10% decline in the population and development led to an additional 7% decline. At the project scale (8,331 km²), which was focused more narrowly on the landscape surrounding 4 proposed mines, the caribou population declined by 29% largely in response to simulated development. Given that observed caribou population dynamics were sensitive to the cumulative effects of climate change, land use, interspecific interactions, and scale, insights from the analysis might not emerge under a less complex model. Our integrated modeling framework provides valuable support for broader regional assessments, including estimation of risk to caribou and Indigenous food security, and for developing and evaluating potential caribou recovery strategies. © 2021 The Authors. The Journal of Wildlife Management published by Wiley Periodicals LLC on behalf of The Wildlife Society.     

降水变化与氮添加对晋北盐碱化草地土壤净氮矿化的影响

于2018年在晋北典型农牧交错带盐碱化草地设置增减降水和氮添加处理试验, 2019年生长季(5—9月)采用原位顶盖PVC埋管法测定不同水、氮处理下土壤净氮矿化速率,研究盐碱化草地土壤净氮矿化速率对降水格局变化和氮沉降的响应。结果表明: 土壤净氮矿化速率表现出明显的季节动态。单独增减降水(±50%)和氮添加(10 g·m^-2·a^-1)以及氮添加+增加50%降水处理对土壤净氮矿化速率影响不显著,氮添加+减少50%降水处理显著提高土壤净硝化速率和净氮矿化速率,分别提高10.8和8.6倍。土壤净氮矿化速率与土壤含水量呈显著正相关,与土壤pH值呈显著负相关。氮添加在不同降水条件下对晋北盐碱化草地土壤氮矿化速率的影响存在差异,土壤含水量与pH值是晋北盐碱化草地土壤净氮矿化速率的主要影响因素。因此,全面评估草地土壤氮矿化过程对全球变化的响应模式,需要考虑降水格局变化与氮沉降增加的交互作用,以及盐碱化草地土壤理化性质的特殊性。     

Effects of pulse precipitation on soil organic matter mineralization in forests: spatial variation and controlling factors

脉冲降水对森林中土壤有机物矿化的影响：空间变化和控制因素 降水脉冲效应使土壤有机物在短时间内迅速分解并释放大量CO₂到大气中。降水脉冲效应对生态系统的碳循环和土壤碳平衡的研究具有十分重要的意义,但它在森林土壤中的空间变化和基本机制仍不清楚。我们采集中国东部22个典型森林生态系统的土壤样品(0–10cm),研究模拟脉冲降水对土壤微生物呼吸速率的影响。模拟降水脉冲使土壤样品达到65%饱和含水量,以分钟为单位测量R_s,持续48 小时。研究结果显示,降水脉冲可以使微生物呼吸速率迅速增加1.70–38.12倍。微生物最大呼吸速率 (R_s-soil-max)、碳释放总量R_s (A_Rs-soil)和达到呼吸峰值的时间(T_Rs-soil-max)在不同的土壤中存在显著差异。此外,不同 气候区的脉冲效应也有明显不同。中温带的R_s-soil-max (11.701 µg C g⁻¹ soil h⁻¹)和A_Rs-soil (300.712 µg C g⁻¹ soil)最高。土壤化学特性(总碳和总氮、pH值和氧化还原电位)和土壤粒径与森林土壤的脉冲效应密切相关,但土壤微生物的贡献较小。我们的研究结果表明,在大尺度范围内,脉冲变化短期内增加森林土壤中CO₂的排放,并揭示了对这种变化影响最大的因素。这些发现为未来对森林生态系统的碳循环和调节全球生态系统碳循环的研究提供科学数据支持。     

半乳糖凝集素‑3对骨关节炎成骨细胞矿化的作用研究

炎症反应以炎症因子为代表,是骨关节炎（osteoarthritis,OA）中软骨下骨发生病变的重要机制。炎症因子半乳糖凝集素?3（galectin?3,Gal?3）会引起软骨下骨OA样变,但机制尚不清楚。利用因膝关节OA行全膝关节置换患者的胫骨平台标本,培养成骨细胞。分别在正常氧和缺氧条件下用Gal?3处理成骨细胞后,检测骨钙素、ERRα和Sirtuin 1的表达情况。同时,给予矿化液培养的成骨细胞以Gal?3处理,28 d后使用茜素红染色检测成骨细胞矿化程度并进行定量分析。结果显示,Gal?3抑制成骨细胞骨钙素的表达,在缺氧条件下诱导ERRα和Sirtuin1的表达,在正常氧条件下Gal?3促进OA成骨细胞的矿化。正常氧条件下,Gal?3可以诱导OA成骨细胞的异常矿化,缺氧条件下Gal?3促进成骨,表明Gal?3在OA成骨细胞的矿化中扮演重要角色。     

Soil‐specific response functions of organic matter mineralization to the availability of labile carbon

Soil organic matter (SOM) mineralization processes are central to the functioning of soils in relation to feedbacks with atmospheric CO₂ concentration, to sustainable nutrient supply, to structural stability and in supporting biodiversity. Recognition that labile C‐inputs to soil (e.g. plant‐derived) can significantly affect mineralization of SOM (‘priming effects’) complicates prediction of environmental and land‐use change effects on SOM dynamics and soil C‐balance. The aim of this study is to construct response functions for SOM priming to labile C (glucose) addition rates, for four contrasting soils. Six rates of glucose (3 atm% ¹³C) addition (in the range 0–1 mg glucose g^?1 soil day^?1) were applied for 8 days. Soil CO₂ efflux was partitioned into SOM‐ and glucose‐derived components by isotopic mass balance, allowing quantification of SOM priming over time for each soil type. Priming effects resulting from pool substitution effects in the microbial biomass (‘apparent priming’) were accounted for by determining treatment effects on microbial biomass size and isotopic composition. In general, SOM priming increased with glucose addition rate, approaching maximum rates specific for each soil (up to 200%). Where glucose additions saturated microbial utilization capacity (>0.5 mg glucose g^?1 soil), priming was a soil‐specific function of glucose mineralization rate. At low to intermediate glucose addition rates, the magnitude (and direction) of priming effects was more variable. These results are consistent with the view that SOM priming is supported by the availability of labile C, that priming is not a ubiquitous function of all components of microbial communities and that soils differ in the extent to which labile C stimulates priming. That priming effects can be represented as response functions to labile C addition rates may be a means of their explicit representation in soil C‐models. However, these response functions are soil‐specific and may be affected by several interacting factors at lower addition rates.