基于传统生态智慧的江南水网空间韧性机制及实践启示

传统江南水网空间是一种典型的社会—生态系统,人文社会系统和自然生态系统之间的良性互动对于其韧性构建有着重要的积极作用。基于柯林斯等人提出的压力—冲击动态（PPD）模型,以平江府为典型代表,研究传统江南水网空间如何通过生态系统服务的桥梁搭建水网物质空间与人类社区发展之间的联系,从而厘清社会—生态系统在此过程中如何培育、优化和提升江南水网空间韧性。在此基础上,创新性地从生态系统服务供需关系的角度提出社会—生态韧性构建的生态智慧,并倡导以恢复力、适应力与变革力韧性机制培育为导向的、江南地区构建现代社区实践的若干启示,旨在引导江南水网空间实现具有韧性的社会—生态系统转型发展。     

社会-生态网络方法研究进展

社会-生态系统是由一个或多个社会和生态子系统交互作用形成的复杂的、非线性的、动态耦合系统。理解社会与生态子系统之间的复杂交互关系对于实现有效、可持续的环境治理至关重要。社会-生态网络方法是网络理论在社会-生态交互作用研究中应用与发展的产物，在定量刻画社会-生态系统结构、分析系统动态变化、推动系统适应性治理等方面具有重大的应用潜力。系统梳理了国内外现有的社会-生态网络研究，首先从网络的类型、构建模式、分析方法3个方面介绍社会-生态网络方法，并阐述其在资源管理、社会-生态匹配、社会-生态适应性治理领域中的应用，探讨社会-生态网络方法在研究社会-生态交互作用中的优势和挑战，最后提出未来社会-生态网络研究的重点方向，即社会-生态网络的动态变化过程以及社会-生态网络结构与功能关系。研究旨在深化网络分析可用于描述人—自然关系的认识，为社会-生态系统的网络研究提供实践指导，以期促进社会-生态网络方法在我国社会-生态系统研究中的应用。     

Studying the Logone floodplain,Cameroon, as a coupled human and natural system§

African floodplains are an excellent example of coupled human–natural systems because they exhibit strong interactions among multiple social, ecological, and hydrological systems. The intra-annual and interannual variations in seasonal flooding have direct and indirect impacts on ecosystems and human lives and livelihoods. Coupled human and natural system (CHANS) is a broad conceptual framework that is used to study systems in which human and natural components interact. While there are other conceptual frameworks to study social-ecological systems, the CHANS framework offers a clear way of studying the interactions, called couplings, between human and natural systems. Core features of the framework are the following: human and natural systems are analytically separated; focus is on processes within and couplings between systems; and the goal is to build an integrative, quantitative model of the coupled system. This paper explains the conceptual framework of coupled systems, using the case study of the Logone floodplain in Cameroon. We compare the CHANS framework with other frameworks that have been used to study the same floodplain, and argue for its usefulness in the study of African floodplains.     

Reconciling conservation and development in protected areas of the Global South

As cornerstones for biodiversity conservation, protected areas (PAs) are critical to safeguard biodiversity. However, PAs are criticized for their limited ecological effectiveness and their negative social impacts. This article seeks to provide an overview on the contested nature of PAs and places PAs in the tension field of conservation and development, which are diverging forces specifically in the Global South. A reconciliation of PAs as parts of a wider landscape of interlinked social-ecological systems may increase the potential of PAs to contribute to the sustainable development goals, including the creation of sustainable human-nature relationships, environmental health and landscape resilience. The environmental justice framework appears useful in the endeavour to improve the social-ecological integrity of current conservation practises and to increase the ability of PA systems to withstand shocks. Considering PAs as systems in which people and nature interact in manifold ways may help increase their integrity, but understanding these interactions requires sustainability researchers and conservation practitioners to recognize the plurality in value towards nature, nature understanding and conceptualisations. Such deep understanding seems pivotal in working towards synergies of sustainable use, biocultural diversity and wilderness. Concludingly, this article emphasizes the need for holistic approaches rather than sectoral specialisations and radicalisations to achieve arrays of sustainability goals.     

The intersection of social determinants of health,the microbiome,and health outcomes in immigrants: A scoping review

In the present scoping review, we explore whether existing evidence supports the premise that social determinants of health (SDoH) affect immigrant health outcomes through their effects on the microbiome. We adapt the National Institute on Minority Health and Health Disparities' research framework to propose a conceptual model that considers the intersection of SDoH, the microbiome, and health outcomes in immigrants. We use this conceptual model as a lens through which to explore recent research about SDoH, biological factors associated with changes to immigrants' microbiomes, and long-term health outcomes. In the 17 articles reviewed, dietary acculturation, physical activity, ethnicity, birthplace, age at migration and length of time in the host country, socioeconomic status, and social/linguistic acculturation were important determinants of postmigration microbiome-related transformations. These factors are associated with progressive shifts in microbiome profile with time in host country, increasing the risks for cardiometabolic, mental, immune, and inflammatory disorders and antibiotic resistance. The evidence thus supports the premise that SDoH influence immigrants' health postmigration, at least in part, through their effects on the microbiome. Omission of important postmigration social-ecological variables (e.g., stress, racism, social/family relationships, and environment), limited research among minoritized subgroups of immigrants, complexity and inter- and intra-individual differences in the microbiome, and limited interdisciplinary and biosocial collaboration restrict our understanding of this area of study. To identify potential microbiome-based interventions and promote immigrants' well-being, more research is necessary to understand the intersections of immigrant health with factors from the biological, behavioral/psychosocial, physical/built environment, and sociocultural environment domains at all social-ecological levels.     

社会-生态系统视角下沙漠化逆转定量评价——以宁夏盐池县为例

对沙漠化逆转区进行有效管理是沙漠化治理至关重要的环节,研究沙漠化逆转区社会-生态系统的干扰状况可以为沙漠化逆转区的管理提供理论支持。基于MODIS NDVI产品数据,用移动窗口法则计算了不同空间尺度上盐池县社会-生态系统的干扰强度和干扰连通度,并分析了2000—2015年间不同时间段内宁夏盐池县社会-生态系统干扰的空间分布。结果表明:(1)盐池县不同时间段内社会-生态系统干扰的空间分布具有较大差异,2000—2004年强干扰主要集中于盐池县的南部;2004—2008年强干扰在北部、中部均有表现;2008—2012年强干扰分别位于东、中、西3个小区域,并没有集中于一个区域,且北部强干扰区域进一步增强;2012—2015年强干扰的区域主要集中于县域的北部、中西部和西北部。(2)不同空间尺度上社会-生态系统干扰强度和连通度有很大差异,随着移动窗口的增大,不同集群的干扰类型也发生了变化,主要表现为低干扰离散型向低干扰集聚型转变,高干扰集聚型向低干扰离散型转变。(3)总体上看,除了个别区域社会-生态系统干扰强度和连通度较大以外,盐池县大部分地区社会-生态系统受干扰的强度和连通度并不大,沙漠化逆转程度较低,还有待进一步加强沙漠化治理力度。     

Living within dynamic social-ecological freshwater systems: System parameters and the role of ecological engineering

The objective of ecological engineering is to design sustainable ecosystems that integrate human communities and their natural environment for the benefit of both. In this paper, we illustrate how social-ecological modeling can be used as a tool to clarify this objective at a landscape scale for freshwater systems. Coupled social-ecological systems (SESs) are open, dynamic systems subject to both ecological and socioeconomic perturbations. Here we demonstrate the interactive effects of social and technological uncertainties on SES dynamics over time. Additionally, we integrate research on ecosystem stability, social-ecological modeling, and ecological engineering to offer guidance for research at the human-environment interface. Based on a case study of Lake Erie's Sandusky watershed, we use an integrated human-biophysical model to investigate the influence of two parameters on SES dynamics: (1) regional societal preferences that impact watershed management and (2) technological innovation that alters agricultural nutrient efficiency. Our results illustrate ways in which SES dynamics and optimum management strategies depend on societal preferences within the region, indicating a key area of uncertainty for future investigation. As guidance for SES restoration, our model results also illustrate the conditions under which technological change that increases nutrient efficiency on farms can and cannot create a win-win, or increase both human welfare and SES resistance to eutrophication simultaneously. Using these results, we elucidate the value of ecological engineering and offer guidance for assessments of ecological engineering projects using social-ecological modeling.     

河流景观生态服务供给与需求/消费的互馈机制

河流景观系统孕育了人类文明,为人类社会提供类型多样的生态系统服务。其本身是一个自然景观过程和社会经济过程高度耦合的社会-生态系统,具有极高的空间异质性、时间动态和鲜明的组织尺度等级结构。当前,对河流景观系统这种特点所决定的生态系统服务供给与需求/消费互馈的机制研究不够深入,普遍缺乏从过程角度刻画生态服务供给与需求/消费互馈关系及其时空异质性和尺度特征。生态服务供给、需求和消费产生于社会-生态系统,是社会-生态耦合的纽带。阐述了河流景观生态服务供给和需求/消费的时空异质性,阐释了它们时空耦合机制和尺度特征,梳理了当前对生态服务供给、需求/消费互馈机理研究的不足。认为未来需要在社会-生态系统的框架下,从景观结构和生态过程出发,融合景观生态过程和社会过程来深入认识河流景观系统的生态服务供给与区内人类对生态服务的需求/消费之间的互馈机制。未来应重点关注：（1）河流景观结构和过程决定的生态服务供给和消费的空间分异及驱动机制;（2）河流生态服务传输的自然和人文载体及其耦合格局;（3）将生态服务需求/消费通过景观结构和生态过程对生态服务供给的反馈融入生态服务评估的方法框架,研发基于生态服务供给和需求/消费的社会-生态互馈过程模型。     

动物个性研究进展

"个性"是指不同时空条件下动物种群个体间行为的稳定差异。大量的理论和实验性研究表明,个性差异在动物界普遍存在,其是种群多度和分布、物种共存及群落构建的重要驱动因子。介绍了动物个性的概念、分类及衡量指标,将前人测量个性类型的方法加以总结;随后介绍了动物个性的生态学意义,尤其是个性对动物生活史策略、种群分布与多度、群落结构和动态、生态系统功能和过程以及疾病与信息传播等的影响。在此基础上,进一步分析了在人类活动增加等全球变化背景下,动物个性如何调控动物个体行为、种群和群落动态对这些环境变化的响应。阐述了动物个性的形成与维持机制,并对未来的研究方向进行了展望。     

社会-生态综合视角下海岸带生态监管框架与应用——以深圳为例

海岸带作为海洋与陆地两大生态系统的连接与桥梁，既是国民经济、社会发展的重要区域与战略中心，也是生态环境破坏和污染的热点区域。以往针对海岸带区域开展的城市化对生态环境的影响研究，主要利用30 m空间分辨率的Landsat数据分析城市扩张对自然生态系统的侵占，如自然用地减少、景观异质性降低、填海造陆速度变快等，而针对污染产业、人类活动等引起的河口水质污染、水温异常、自然岸线退化等复杂生态环境问题关注不足，难以满足陆海统筹管理、综合防治的需求。因此，研究围绕海岸带面临的主要问题，面向海岸带生态环境综合管制，构建了“问题识别-格局量化-地面调查-生态监管”的综合框架，通过明确生态环境问题，量化社会-生态格局，开展实地调查，制定生态监管目标和策略。通过融合高分影像、兴趣点、道路等多源异构数据并结合地面调查，准确识别影响生态环境的社会-生态格局因子，实现空间显性的生态监管。进一步以深圳为典型案例，探讨该概念框架的应用，将深圳市海岸带划分为了四类共980个生态监管单元，其中包括153个优先保护单元，主要为分布在海岸带东部的林地，7个生态风险较大的核心管控单元，597个几乎分布在海岸带西部的重点管控单...     

How plants cope with biotic interactions

In their natural environment, plants interact with many different organisms. The nature of these interactions may range from positive, for example interactions with pollinators, to negative, such as interactions with pathogens and herbivores. In this special issue, the contributors provide several examples of how plants manage both positive and negative biotic interactions. This review aims to relate their findings to what we know about the complex natural environments in which plants have evolved. Molecular analyses of plant genomes and expression profiles have shown how intricately plants may regulate responses to single or multiple biotic interactions. Plant responses are fine-tuned by signalling hormone interactions. When multiple organisms interact with a single plant this may result in antagonistic or synergistic effects. The emerging fields of ecogenomics and metabolomics undoubtedly will refine our understanding of the multilayered regulation that plants use to manage relationships with their biotic environment. However, we can only understand why plants have such an intricate regulatory apparatus if we consider the ecological context of plant biotic interactions.     

Ecological decision-making: From circuit elements to emerging principles

The interactions an animal has with its prey, predators, neighbors, and competitors are known as ecological interactions. Making effective decisions during ecological interactions poses fundamental challenges for the nervous system. Among these are the need to filter relevant information out of complex and ever-changing sensory scenes, to balance competing objectives, and to generate robust behavior amid the strong mutual feedbacks that occur during interactions with other animals. Here, I review recent advancements in the study of ecological decision-making. Using research with fishes, I illustrate how knowledge of ethology and brain circuitry are converging to yield a more holistic understanding of how the brain solves these problems to produce robust sequences of natural behavior.     

A Bayesian approach to the evolution of social learning

There has been much interest in understanding the evolution of social learning. Investigators have tried to understand when natural selection will favor individuals who imitate others, how imitators should deal with the fact that available models may exhibit different behaviors, and how social and individual learning should interact. In all of this work, social learning and individual learning have been treated as alternative, conceptually distinct processes. Here we present a Bayesian model in which both individual and social learning arise from a single inferential process. Individuals use Bayesian inference to combine social and nonsocial cues about the current state of the environment. This model indicates that natural selection favors individuals who place heavy weight on social cues when the environment changes slowly or when its state cannot be well predicted using nonsocial cues. It also indicates that a conformist bias should be a universal aspect of social learning.     

Analysis and management of multiple ecosystem services within a social-ecological context

The assessment of ecosystem services (ESS) requires approaches that are capable to deal with the complexity of social-ecological systems (SES). A new viewpoint is proposed, in which the social-ecological perspective of Ostrom’s SES framework is used to describe the flow of ESS, through the identification of the social and ecological elements involved. Two types of ESS flow emerge from this analysis, depending on the way in which the elements of ESS supply (resource system and resource units) and demand (actors) interact: (i) a “direct flow type” in which the resource units deliver the ESS through some specific ecological functions (e.g. wetlands providing carbon sequestration), and (ii) a “mediated flow type” in which the resource units become themselves the ESS when “used” by means of human activities (e.g. fish harvested through fishing activities). The identification of activities is crucial to understand the interactions between ESS, because of the feedbacks they produce on the ecosystem functioning and thus on the provision of the same or other ESS. In addition, these feedbacks can depend on temporal aspects of ESS provision. On these regards, a hypothesis is proposed according to which a time lag can exist between the ESS supply-side and flow in human-modified SES. Altogether, this social-ecological analysis of ESS can contribute to focus the management strategies on the control of impacting activities and on the maintenance of those processes which underpin ESS’ provision, thus contributing to the implementation of an ecosystem-based management of SES. These aspects are discussed in the light of the Venice lagoon example.     

山区社会-生态系统转型测度——以三峡典型库区为例

三峡库区是集农村和山区为一体的社会-生态系统，研究其系统内部的相互作用和系统间的耦合转型有利于推动库区高质量的可持续发展。通过构建社会-生态系统耦合转型研究框架，采用地形位指数、耦合协调度模型等方法，以库区腹地草堂溪流域为例，揭示其社会-生态系统转型与否、转型路径的多样性及其驱动机制。结果表明：(1)2000—2020年三峡库区社会-生态系统数量-结构-功能均发生了显著变化，表明库区社会-生态系统发生了转型；(2)库区低地形位社会-生态系统表现为由社会生态型向生态经济型转变，中地形位表现为由生态社会型向生态主导、生态经济为辅转变，高地形位则表现为由生态调节型愈加趋向于生态主导型；(3)农户和政府需求变化是驱动社会-生态系统由传统耕地种植系统向新型经果林种植系统转型的根本因素；(4)研究方法证实对山区具有普适性，构建的研究框架较适合刻画山区社会-生态系统转型路径，在其他地方也能同样适用。     

Conceptual problems and scale limitations of defining ecological communities: a critique of the CI concept (Community of Individuals)

Recently, Looijen & van Andel (1999) proposed a new definition of an ecological community by using two criteria: (1) restricting membership by taxonomic relatedness, and (2) defining boundaries by the intersection of the area of population range boundaries. I analyze the implications of their definition and explore the limitations of the approach. Overall, I show this definition to be highly scale-limited, to not encompass many ecological concepts developed for the community level, and to have hidden assumptions that are not met in natural systems. An alternative model of the ecological community is proposed as a contrast, a model based on the community of an individual, in which individuals and interactions are used to develop the larger entity of an ecological community. This alternative model illustrates that the principal problems Looijen & van Andel (1999) discussed about previous community concepts with respect to application to vegetation classification are not ‘problems’ but are characteristics of ecological communities. Any definition of an ecological community must be able to incorporate these characteristics as well as current ecological concepts used at the community level.     

Adaptive evolution in ecological communities

Understanding how natural selection drives evolution is a key challenge in evolutionary biology. Most studies of adaptation focus on how a single environmental factor, such as increased temperature, affects evolution within a single species. The biological relevance of these experiments is limited because nature is infinitely more complex. Most species are embedded within communities containing many species that interact with one another and the physical environment. To understand the evolutionary significance of such ecological complexity, experiments must test the evolutionary impact of interactions among multiple species during adaptation. Here we highlight an experiment that manipulates species composition and tracks evolutionary responses within each species, while testing for the mechanisms by which species interact and adapt to their environment. We also discuss limitations of previous studies of adaptive evolution and emphasize how an experimental evolution approach can circumvent such shortcomings. Understanding how community composition acts as a selective force will improve our ability to predict how species adapt to natural and human-induced environmental change.     

Biotelemetry: a mechanistic approach to ecology

Remote measurement of the physiology, behaviour and energetic status of free-living animals is made possible by a variety of techniques that we refer to collectively as 'biotelemetry'. This set of tools ranges from transmitters that send their signals to receivers up to a few kilometers away to those that send data to orbiting satellites and, more frequently, to devices that log data. They enable researchers to document, for long uninterrupted periods, how undisturbed organisms interact with each other and their environment in real time. In spite of advances enabling the monitoring of many physiological and behavioural variables across a range of taxa of various sizes, these devices have yet to be embraced widely by the ecological community. Our review suggests that this technology has immense potential for research in basic and applied animal ecology. Efforts to incorporate biotelemetry into broader ecological research programs should yield novel information that has been challenging to collect historically from free-ranging animals in their natural environments. Examples of research that would benefit from biotelemetry include the assessment of animal responses to different anthropogenic perturbations and the development of life-time energy budgets.     

Agent-based modeling of multicell morphogenic processes during development

A central challenge in the field of developmental biology is to understand how mechanisms at one level of biological scale (i.e., cell-level) interact to produce higher-level (i.e., tissue-level) phenomena. This challenge is particularly relevant to the study of tissue morphogenesis, the process that generates newly formed, remodeled, or regenerated tissue structures. Morphogenesis arises from the spatially- and temporally-dynamic interactions of individual cells with each other and their local environment. Computational models have been combined with experimental efforts to accelerate the discovery processes. Agent-based modeling (ABM) is a computational technique that can be used to model collections of individual biological cells and compute their interactions, which generate emergent tissue-level results. Recently, ABM has been applied to the study of various developmental morphogenic processes, and the purpose of this review is to summarize these studies in order to demonstrate the types of advances that can be expected from pursuing a multicell ABM approach. We also highlight some challenges associated with ABM and suggest strategies for overcoming them. While ABM's application to the study of ecology, epidemiology, and social sciences has a much longer history, we suggest that the application of ABM to the study of morphogenesis has great utility, and when paired with benchtop experimentation, ABM can provide new insights and direct future experimentation.     

Capturing Community Context of Human Response to Forest Disturbance by Insects: A Multi-Method Assessment

The socioeconomic and environmental features of local places (community context) influence the relationship between humans and their physical environment. In times of environmental disturbance, this community context is expected to influence human perceptual and behavioral responses. Residents from nine Colorado communities experiencing a large outbreak of mountain pine beetles (Dendroctonus ponderosae) were surveyed in 2007. Multiple analytic methods including ordinary least squares regression and multilevel modeling techniques were used to evaluate a community-context conceptual model of factors influencing individual actions in response to forest disturbance by beetles. Results indicated that community biophysical and socioeconomic characteristics had important impacts on participation in beetle-related actions and influenced the relationships of individual-level variables in the conceptual model with beetle-related activities. Our findings have implications for natural resource management and policy related to forest disturbances, and for developing a methodology appropriate to measure the general community context of human-environment interactions.