Systems approaches in global change and biogeochemistry research

Systems approaches have great potential for application in predictive ecology. In this paper, we present a range of examples, where systems approaches are being developed and applied at a range of scales in the field of global change and biogeochemical cycling. Systems approaches range from Bayesian calibration techniques at plot scale, through data assimilation methods at regional to continental scales, to multi-disciplinary numerical model applications at country to global scales. We provide examples from a range of studies and show how these approaches are being used to address current topics in global change and biogeochemical research, such as the interaction between carbon and nitrogen cycles, terrestrial carbon feedbacks to climate change and the attribution of observed global changes to various drivers of change. We examine how transferable the methods and techniques might be to other areas of ecosystem science and ecology.     

Changing the way we think about global change research: scaling up in experimental ecosystem science

Scaling is a naturally iterative and bi‐directional component of problem solving in ecology and in climate science. Ecosystems and climate systems are unquestionably the sum of all their parts, to the smallest imaginable scale, in genomic processes or in the laws of fluid dynamics. However, in the process of scaling‐up, for practical purposes thewhole usually has to be construed as a good deal less than this. This essay demonstrates how controlled large‐scale experiments can be used to deduce key mechanisms and thereby reduce much of the detail needed for the process of scaling‐up. Collection of the relevant experimental evidence depends on controlling the environment and complexity of experiments, and on applications of technologies that report on, and integrate, small‐scale processes. As the role of biological feedbacks in the behavior of climate systems is better appreciated, so the need grows for experimentally based understanding of ecosystem processes. We argue that we cannot continue as we are doing, simply observing the progress of the greenhouse gas‐driven experiment in global change, and modeling its future outcomes. We have to change the way we think about climate system and ecosystem science, and in the process move to experimental modes at larger scales than previously thought achievable.     

树木年轮分析在全球变化研究中的应用

树木年轮的宽度、密度、图像分析、同位素含量等都与气候因子温度、湿度以及大气成分的变化成复杂的相关关系。本文总结了树木年轮分析的几种主要研究方法以及在全球气候变化、大气污染以及重建大气CO2浓度中的应用,同时利用树木年轮分析对全球变化研究中存在的问题、争议等作了简要的探讨,并对未来全球变化中的年轮年代学研究的方向作了展望。     

Different facets of the same niche: Integrating citizen science and scientific survey data to predict biological invasion risk under multiple global change drivers

Citizen science initiatives have been increasingly used by researchers as a source of occurrence data to model the distribution of alien species. Since citizen science presence-only data suffer from some fundamental issues, efforts have been made to combine these data with those provided by scientifically structured surveys. Surprisingly, only a few studies proposing data integration evaluated the contribution of this process to the effective sampling of species' environmental niches and, consequently, its effect on model predictions on new time intervals. We relied on niche overlap analyses, machine learning classification algorithms and ecological niche models to compare the ability of data from citizen science and scientific surveys, along with their integration, in capturing the realized niche of 13 invasive alien species in Italy. Moreover, we assessed differences in current and future invasion risk predicted by each data set under multiple global change scenarios. We showed that data from citizen science and scientific surveys captured similar species niches though highlighting exclusive portions associated with clearly identifiable environmental conditions. In terrestrial species, citizen science data granted the highest gain in environmental space to the pooled niches, determining an increased future biological invasion risk. A few aquatic species modelled at the regional scale reported a net loss in the pooled niches compared to their scientific survey niches, suggesting that citizen science data may also lead to contraction in pooled niches. For these species, models predicted a lower future biological invasion risk. These findings indicate that citizen science data may represent a valuable contribution to predicting future spread of invasive alien species, especially within national-scale programmes. At the same time, citizen science data collected on species poorly known to citizen scientists, or in strictly local contexts, may strongly affect the niche quantification of these taxa and the prediction of their future biological invasion risk.     

全球变化背景下生态学热点问题研究——第二届"国际青年生态学者论坛"

为促进中国青年生态学者与海外生态学者的交流与合作,第二届"国际青年生态学者论坛"于2011年8月1—4日在南京大学举行。来自海内外近400名学生和青年学者,围绕"全球变化背景下生态学热点问题"主题,分别从植物群落学、植物生理生态学、地下生态学、水生态系统、生物入侵、生物多样性、区域生态安全等7个方面进行了交流与讨论,本届论坛报告反映了在全球变化背景下,我国生态学在研究领域、内容、尺度、方法上的发展现状与进展。以会议收集的95篇摘要为基础,重点综述了27场青年学者论坛报告内容,并对会议的进一步完善提出了几点建议。     

Why artificial light at night should be a focus for global change research in the 21st century

The environmental impacts of artificial light at night have been a rapidly growing field of global change science in recent years. Yet, light pollution has not achieved parity with other global change phenomena in the level of concern and interest it receives from the scientific community, government and nongovernmental organizations. This is despite the globally widespread, expanding and changing nature of night‐time lighting and the immediacy, severity and phylogenetic breath of its impacts. In this opinion piece, we evidence 10 reasons why artificial light at night should be a focus for global change research in the 21st century. Our reasons extend beyond those concerned principally with the environment, to also include impacts on human health, culture and biodiversity conservation more generally. We conclude that the growing use of night‐time lighting will continue to raise numerous ecological, human health and cultural issues, but that opportunities exist to mitigate its impacts by combining novel technologies with sound scientific evidence. The potential gains from appropriate management extend far beyond those for the environment, indeed it may play a key role in transitioning towards a more sustainable society.     

A niche for ecosystem multifunctionality in global change research

Concern about human modification of Earth's ecosystems has recently motivated ecologists to address how global change drivers will impact the simultaneous provisioning of multiple functions, termed ecosystem multifunctionality (EMF). However, metrics of EMF have often been applied in global change studies with little consideration of the information they provide beyond single functions, or how and why EMF may respond to global change drivers. Here, we critically review the current state of this rapidly expanding field and provide a conceptual framework to guide the effective incorporation of EMF in global change research. In particular, we emphasize the need for a priori identification and explicit testing of the biotic and abiotic mechanisms through which global change drivers impact EMF, as well as assessing correlations among multiple single functions because these patterns underlie shifts in EMF. While the role of biodiversity in mediating global change effects on EMF has justifiably received much attention, empirical support for effects via other biotic and physicochemical mechanisms are also needed. Studies also frequently stated the importance of measuring EMF responses to global change drivers to understand the potential consequences for multiple ecosystem services, but explicit links between measured functions and ecosystem services were missing from many such studies. While there is clear potential for EMF to provide novel insights to global change research, predictive understanding will be greatly improved by insuring future research is strongly hypothesis‐driven, is designed to explicitly test multiple abiotic and biotic mechanisms, and assesses how single functions and their covariation drive emergent EMF responses to global change drivers.     

森林土壤酶对环境变化的响应研究进展

全球气候变化已是不争的事实,对陆地生态系统特别是森林生态系统物质循环将产生显著的影响。土壤酶是森林土壤物质循环的主要限制因素之一,对气候变化的响应近年来受到广泛关注。由于森林土壤酶对全球气候变化的响应研究是预测未来环境变化对森林生态系统过程影响的关键,因此,着重综述了森林土壤酶对环境变化尤其是全球变暖和氮沉降响应方面的研究,并分析了未来研究的主要方向。环境变化会引起土壤p H、水分及其营养成分的变化,而这些变化会反作用于土壤酶的活性和稳定性。森林土壤酶对增温的响应,不仅与酶的种类以及增温的温度范围和持续时间有关,还与土壤类型有关,是多种因子综合作用的结果。森林土壤酶对氮添加的响应与林分类型和土层类型有关,受复合氮的影响更大。建议未来的研究应加强酶的基本性质对环境变化的响应研究,注重林分类型、土层类型导致的差异,强化多因素的交互作用,并进行长期、综合的观测。     

创新生态科学,建设美丽中国——2016年第十五届中国生态学大会综述

综述了2016年8月25日至27日在兰州大学举行的第十五届中国生态学大会的8场特邀报告,29个主题会场和“全国生态学研究生论坛”的多个报告,内容包括全球变化生态学、景观生态学、保护与恢复生态学、生态系统管理、动植物行为与生态功能、人文与农业生态学等6个分支领域。内容从微生物到动植物,从微观尺度到宏观尺度,从自然生态到人文生态均有涉及。报告内容表明,单纯的基础研究比例在减少,应用型基础研究和应用研究的比重较前几届有增高,多学科交叉研究报告显著增加,未来生态学的发展不断贴近生产实践、朝向“多学科交叉的应用型研究”方向发展,可持续性和绿色发展趋势明显。另外,本文还结合现代生态学100个关键科学问题进行了探讨和总结。会议围绕“创新生态科学,建设美丽中国”的主题,旨在探讨生态文明建设的新途径,绿色发展的新道路,为我国生态学领域各类成果搭建了充分的展示平台,为生态学及其相关领域的交流和合作提供了重要渠道,其中华东地区和华北地区（含北京）的报告和参会人数一直维持较高比例。总之,此次会议不仅促进了我国生态学领域专家、学者的交流与合作,也充分展现了我国生态学的研究水平,扩大了我国生态学的影响,对促进我国生态学发展起到了积极作用。     

从生态地理特征论中国东北样带(NECT)在全球变化研究中的科学意义

中国东北样带(NECT)是国际地圈生物圈计划(IGBP)全球变化研究的陆地样带之一。该样带在东经112°与130°30′之间沿北纬43°30′设置,长约1600km,跨越北纬42°～46°,宽约300km,位于中纬度温带地区以降水或湿润度/干燥度为主要全球变化驱动因素,自东至西沿一个连续的空间过渡梯度,植被类型或生物群区是由温带针阔叶混交林、温带落叶阔叶林、农田及温带草原的3个亚地带:草甸草原、典型草原和荒漠草原等类型组成。给出了样带的基本生态地理特征及其梯度分析,包括其地理位置、地形地貌、气候梯度、土壤类型、土地利用格局、植被类型、主要优势种和群落类型的生态地理特征以及全新世适宜期的植被分布格局。这些特征沿经向均表现出明显的梯度分布。     

New frontiers in translational research: Touchscreens,open science,and the mouse translational research accelerator platform

Many neurodegenerative and neuropsychiatric diseases and other brain disorders are accompanied by impairments in high-level cognitive functions including memory, attention, motivation, and decision-making. Despite several decades of extensive research, neuroscience is little closer to discovering new treatments. Key impediments include the absence of validated and robust cognitive assessment tools for facilitating translation from animal models to humans. In this review, we describe a state-of-the-art platform poised to overcome these impediments and improve the success of translational research, the Mouse Translational Research Accelerator Platform (MouseTRAP), which is centered on the touchscreen cognitive testing system for rodents. It integrates touchscreen-based tests of high-level cognitive assessment with state-of-the art neurotechnology to record and manipulate molecular and circuit level activity in vivo in animal models during human-relevant cognitive performance. The platform also is integrated with two Open Science platforms designed to facilitate knowledge and data-sharing practices within the rodent touchscreen community, touchscreencognition.org and mousebytes.ca. Touchscreencognition.org includes the Wall, showcasing touchscreen news and publications, the Forum, for community discussion, and Training, which includes courses, videos, SOPs, and symposia. To get started, interested researchers simply create user accounts. We describe the origins of the touchscreen testing system, the novel lines of research it has facilitated, and its increasingly widespread use in translational research, which is attributable in part to knowledge-sharing efforts over the past decade. We then identify the unique features of MouseTRAP that stand to potentially revolutionize translational research, and describe new initiatives to partner with similar platforms such as McGill's M3 platform (m3platform.org).     

Southern Hemisphere biodiversity and global change: Data gaps and strategies

Long‐term datasets needed to detect the impacts of global change on southern biodiversity are still scarce and often incomplete, challenging adaptation planning and conservation management. Biological data are probably most limited in arid countries and from the oceans, where natural environmental variability (‘noise’) means that long time series are required to detect the ‘signal’ of directional change. Significant national and international investment and collaboration are needed for most southern nations to reliably track biodiversity trends and improve conservation adaptation to rapid climate change. Emerging early warning systems for biodiversity, incorporating regional environmental change drivers, citizen science and regional partnerships, can all help to compensate for existing information gaps and contribute to adaptation planning.     

全球变化对资源环境及生态系统影响的生态学理论基础

随着全球变化研究的深入,面向社会可持续发展的全球变化风险与应对、全球变化对资源环境要素时空配置与生态系统的影响评估等应用性问题正成为全球变化领域的新趋势。基于生态学范畴,本文重点梳理了资源环境的涵义及其构成要素：资源是自养生物利用无机物制造有机物及能量和物质在生物间传递过程中所消耗的一切实体,包括无机资源(太阳辐射、CO₂、O₂、水和矿质元素等)和有机资源(作为其他生物的食物资源)两类,而环境不能被生物有机体消耗或用竭。此外,阐述了全球变化组成及其引发的资源环境要素变化特征,以及当前关于生态系统对全球变化响应的研究进展,以期从生态学原理角度科学认知全球变化对资源环境及生态系统的影响过程与机制,为全球变化风险应对实践提供生态学理论基础。     

Coordinated approaches to quantify long‐term ecosystem dynamics in response to global change

Many serious ecosystem consequences of climate change will take decades or even centuries to emerge. Long‐term ecological responses to global change are strongly regulated by slow processes, such as changes in species composition, carbon dynamics in soil and by long‐lived plants, and accumulation of nutrient capitals. Understanding and predicting these processes require experiments on decadal time scales. But decadal experiments by themselves may not be adequate because many of the slow processes have characteristic time scales much longer than experiments can be maintained. This article promotes a coordinated approach that combines long‐term, large‐scale global change experiments with process studies and modeling. Long‐term global change manipulative experiments, especially in high‐priority ecosystems such as tropical forests and high‐latitude regions, are essential to maximize information gain concerning future states of the earth system. The long‐term experiments should be conducted in tandem with complementary process studies, such as those using model ecosystems, species replacements, laboratory incubations, isotope tracers, and greenhouse facilities. Models are essential to assimilate data from long‐term experiments and process studies together with information from long‐term observations, surveys, and space‐for‐time studies along environmental and biological gradients. Future research programs with coordinated long‐term experiments, process studies, and modeling have the potential to be the most effective strategy to gain the best information on long‐term ecosystem dynamics in response to global change.     

生态脆弱性及其研究进展

生态脆弱性已成为当前全球变化与可持续发展研究中的热点问题.有关生态脆弱性的研究,正逐渐从重点考察某单一生态要素发展到关注区域人地系统的整体性响应.当前生态脆弱性研究的内容主要包括系统变化分析、系统自身的敏感性与外部扰动的潜在影响,人地系统的适应性等.主要的研究方法有情景分析法、生态模拟法和指标评价法.目前生态脆弱性研究中存在的问题主要是情景分析与模拟的不确定性、适应性能力与社会经济发展的关系不明晰、自然因素与社会经济因素脆弱性研究相对不足等.生态脆弱性未来研究的重点是推进脆弱性研究多学科、跨尺度的融合,加强脆弱性中自然与人文因素的厘定和耦合研究,并开展基于历史变化史实的生态脆弱性实证分析.而作为脆弱性研究归宿,适应性研究不仅需要探讨能力建设和策略优化,还应深入研究适应性能力阈值与社会经济发展的关系以及国家、区域和群体之间适应性能力的总体协调与管理.最后,需要加强人地系统对极端自然灾害事件的脆弱性的研究.     

Citizen science in schools: Engaging students in research on urban habitat for pollinators

Citizen science can play an important role in school science education. Citizen science is particularly relevant to addressing current societal environmental sustainability challenges, as it engages the students directly with environmental science and gives students an understanding of the scientific process. In addition, it allows students to observe local representations of global challenges. Here, we report a citizen science programme designed to engage school‐age children in real‐world scientific research. The programme used standardized methods deployed across multiple schools through scientist–school partnerships to engage students with an important conservation problem: habitat for pollinator insects in urban environments. Citizen science programmes such as the programme presented here can be used to enhance scientific literacy and skills. Provided key challenges to maintain data quality are met, this approach is a powerful way to contribute valuable citizen science data for understudied, but ecologically important study systems, particularly in urban environments across broad geographical areas.     

Increasing population and declining biological resources in the context of global change and globalization

In the context of over-consumption of natural resources in the name of development and rapid industrialization by a small section of the human population that is rapidly growing, the world is currently faced with a variety of environmental uncertainties. ‘Global change’ covering a whole variety of ecological issues, and ‘globalization’ in an economic sense, are two major phenomena that are responsible for these uncertainties. There is increasing evidence to suggest that the developing countries more than the developed, particularly the marginalized traditional (those living close to nature and natural resources) societies would be the worst sufferers. In order to cope with this problem in a situation where the traditional societies have to cope with rapidly depleting biodiversity on which they are dependant for their livelihood, there is an urgent need to explore additional pathways for sustainable management of natural resources and societal development. Such pathways should be based on a landscape management strategy, that takes into consideration the rich traditional ecological knowledge (TEK) that these societies have. This is critical because TEK is the connecting link between conservation and sustainable development. This paper explores the possibilities in this direction through a balanced approach to development, that links the ‘traditional’ with the ‘modern’, in a location-specific way.     

全球变化对陆地生态系统枯落物分解的影响

了解枯落物分解对大大二氧化碳浓度增高,气候变暖和降水变化的反应,对深入理解陆地生态系统土壤有机物形成和碳的固化能力（Carbonh sequestration)十分重要。通过分析业已发表的文献,实验室根系分解实验和美国西北部针叶林叶片的分解实验,旨在评估大气二氧化碳浓度增高,气候变暖和降水化对陆地生态系统枯落物分解的可能影响,大气二氧化碳浓度增高可通过降低枯落物质量和增加草原生态系统土壤水分间接地影响枯落物分离,根据17项研究结果,大气二氧化碳浓度加倍可导致木本和草本枯落物平均氮含量降低19．6％和9．4％;木质素／氮化值增高36．3％和5．5％,枯落物质地的降低通常导致枯落物分解减慢。气候变暖一般加速枯落物的分解,但是用于表示这种促进作用的Q10随着温度的增高而降低,全球降水变化对陆地生态系统枯落物分解的影响不但取决于现有水分条件而且还以决于降水变的程度。以美国西北部地的针叶林为例,降水改变对森林生态系统枯落物分解的影响将是 多元的,有的增加,有的降低,而有的相对不变,最后,指出了今后 在方该领域有待加强的几个研究方面。     

A global synthesis of plant extinction rates in urban areas

Plant extinctions from urban areas are a growing threat to biodiversity worldwide. To minimize this threat, it is critical to understand what factors are influencing plant extinction rates. We compiled plant extinction rate data for 22 cities around the world. Two-thirds of the variation in plant extinction rates was explained by a combination of the city's historical development and the current proportion of native vegetation, with the former explaining the greatest variability. As a single variable, the amount of native vegetation remaining also influenced extinction rates, particularly in cities > 200 years old. Our study demonstrates that the legacies of landscape transformations by agrarian and urban development last for hundreds of years, and modern cities potentially carry a large extinction debt. This finding highlights the importance of preserving native vegetation in urban areas and the need for mitigation to minimize potential plant extinctions in the future.