Managing consequences of climate‐driven species redistribution requires integration of ecology,conservation and social science

Climate change is driving a pervasive global redistribution of the planet's species. Species redistribution poses new questions for the study of ecosystems, conservation science and human societies that require a coordinated and integrated approach. Here we review recent progress, key gaps and strategic directions in this nascent research area, emphasising emerging themes in species redistribution biology, the importance of understanding underlying drivers and the need to anticipate novel outcomes of changes in species ranges. We highlight that species redistribution has manifest implications across multiple temporal and spatial scales and from genes to ecosystems. Understanding range shifts from ecological, physiological, genetic and biogeographical perspectives is essential for informing changing paradigms in conservation science and for designing conservation strategies that incorporate changing population connectivity and advance adaptation to climate change. Species redistributions present challenges for human well‐being, environmental management and sustainable development. By synthesising recent approaches, theories and tools, our review establishes an interdisciplinary foundation for the development of future research on species redistribution. Specifically, we demonstrate how ecological, conservation and social research on species redistribution can best be achieved by working across disciplinary boundaries to develop and implement solutions to climate change challenges. Future studies should therefore integrate existing and complementary scientific frameworks while incorporating social science and human‐centred approaches. Finally, we emphasise that the best science will not be useful unless more scientists engage with managers, policy makers and the public to develop responsible and socially acceptable options for the global challenges arising from species redistributions.     

Striking a new balance between agricultural production and biodiversity

Agricultural policy in Europe is changing from supporting production to encouraging environmental benefits in the context of sustainable rural development. As a result, there is a window of opportunity to reconsider the balance between agricultural production and biodiversity management on British farmland, to seek to redress the problems for biodiversity that accrued during intensification without reducing the capacity to meet the coming challenges of global change and population increase. These challenges are discussed in the context of longer term historical change, and in terms of how readily they can be overcome. Current policies can deliver conservation targets that are within the control of individual land managers, and are likely to increase landscape heterogeneity significantly. However, it will be more dif. cult to plan landscapes to deliver agricultural production, ecosystem services and conserve biodiversity in the face of nutrient deposition and climate change. There can be no theoretical “optimum” balance between production and biodiversity, as environmental goals depend greatly upon decisions about scales (from local to global, immediate to long) and the viewpoints of stakeholders. Indeed, the social challenge of delivering sustainable agricultural landscapes is far greater than the scientific one of researching what they might be like.     

Applying landscape genetics to the microbial world

Landscape genetics, which explicitly quantifies landscape effects on gene flow and adaptation, has largely focused on macroorganisms, with little attention given to microorganisms. This is despite overwhelming evidence that microorganisms exhibit spatial genetic structuring in relation to environmental variables. The increasing accessibility of genomic data has opened up the opportunity for landscape genetics to embrace the world of microorganisms, which may be thought of as ‘the invisible regulators’ of the macroecological world. Recent developments in bioinformatics and increased data accessibility have accelerated our ability to identify microbial taxa and characterize their genetic diversity. However, the influence of the landscape matrix and dynamic environmental factors on microorganism genetic dispersal and adaptation has been little explored. Also, because many microorganisms coinhabit or codisperse with macroorganisms, landscape genomic approaches may improve insights into how micro‐ and macroorganisms reciprocally interact to create spatial genetic structure. Conducting landscape genetic analyses on microorganisms requires that we accommodate shifts in spatial and temporal scales, presenting new conceptual and methodological challenges not yet explored in ‘macro’‐landscape genetics. We argue that there is much value to be gained for microbial ecologists from embracing landscape genetic approaches. We provide a case for integrating landscape genetic methods into microecological studies and discuss specific considerations associated with the novel challenges this brings. We anticipate that microorganism landscape genetic studies will provide new insights into both micro‐ and macroecological processes and expand our knowledge of species’ distributions, adaptive mechanisms and species’ interactions in changing environments.     

Cross-disciplinary approaches for better research: The case of birds and bats

Across a wide range of disciplines, mounting evidence points to solutions for addressing the global biodiversity and climate crisis through sustainable land use development. Managing ecosystem services offers promising potential of combining environmental, economic, and social interests in this process. Achieving sustainability, however, requires collaboration across disciplines, or in short “cross-disciplinary” approaches. Multi-, inter- and transdisciplinary approaches are often used as synonyms, although they are defined by different levels of integrating results and perspectives. We highlight challenges and opportunities related to these cross-disciplinary approaches by using research on bird- and bat-mediated ecosystem services as a case - with a focus on sustainable agricultural development. Examples from transdisciplinary collaborations show how more integrative and inclusive approaches promote the implementation of basic and applied ecological research into land use practices. Realizing this opportunity requires strong partnerships between science, practice and policy, as well as integration of diverse skills and perspectives. If appropriately funded and guided, this effort is rewarded by improved data quality, more targeted concepts, as well as improvement implementation and impact of sustainability research and practice. We outline a stepwise approach for developing these processes and highlight case studies from bird and bat research to inspire cross-disciplinary approaches within and beyond ecology.     

A diagnostic for collaborative monitoring in forest landscape restoration

Monitoring is crucial to meet the goals of the major global forest landscape restoration (FLR) initiatives that are underway. If members of the global FLR community are going to learn from one another, a multi‐scalar, multi‐site monitoring approach is needed to generate information that can provide the basis for social learning and adaptive management, both of which are essential processes for FLR. This requires reframing and expanding the perspective of monitoring so that compliance monitoring is just one component of a multidimensional approach where collaborative monitoring and compliance‐oriented monitoring are complementary. However, FLR planners and implementers often lack experience in applying collaborative approaches in multi‐stakeholder settings, and there are few tools that show how to implement FLR or to engage in collaborative monitoring in FLR. Through a literature review, we identified the factors that contribute to successful collaborative monitoring in FLR and synthesized them into a diagnostic that was vetted by 20 global experts. The result is a checklist of 42 core success factors to be assessed at local, subnational, and national levels at different stages in the planning and implementation of FLR. The tool has practical application by providing guidance on best practices: specifically, how to start collaborative monitoring, and more generally, how to plan, prepare for, and evaluate FLR activities. This diagnostic complements other diagnostics, such as those used to identify FLR sites, as it can identify preexisting strengths and weaknesses in new initiatives, or pinpoint problems with ongoing implementation. The diagnostic explicitly addresses issues of scale, including multiple sites, governance levels, and changes over time.     

The overlooked spatial dimension of climate‐smart agriculture

Climate‐smart agriculture (CSA) and sustainable intensification (SI) are widely claimed to be high‐potential solutions to address the interlinked challenges of food security and climate change. Operationalization of these promising concepts is still lacking and potential trade‐offs are often not considered in the current continental‐ to global‐scale assessments. Here we discuss the effect of spatial variability in the context of the implementation of climate‐smart practices on two central indicators, namely yield development and carbon sequestration, considering biophysical limitations of suggested benefits, socioeconomic and institutional barriers to adoption, and feedback mechanisms across scales. We substantiate our arguments by an illustrative analysis using the example of a hypothetical large‐scale adoption of conservation agriculture (CA) in sub‐Saharan Africa. We argue that, up to now, large‐scale assessments widely neglect the spatially variable effects of climate‐smart practices, leading to inflated statements about co‐benefits of agricultural production and climate change mitigation potentials. There is an urgent need to account for spatial variability in assessments of climate‐smart practices and target those locations where synergies in land functions can be maximized in order to meet the global targets. Therefore, we call for more attention toward spatial planning and landscape optimization approaches in the operationalization of CSA and SI to navigate potential trade‐offs.     

Reconciling Conservation and Development: Are Landscapes the Answer?

The landscape approach is being used for initiatives that have the dual objectives of conserving biodiversity and alleviating poverty. However, working at such landscape scales greatly expands the level of ambition of conservation organizations and requires them to use skills that differ from those that they have traditionally deployed. Influencing landscape change requires major commitments for long periods of time and since there is still little evidence for the success of such approaches they should be used cautiously. Landscape programmes must be based on a comprehensive understanding of landscape dynamics and of the underlying drivers of social, economic and ecological change. Just as in any other investment in conservation it is important to set objectives in clear and measurable terms. Landscape approaches should therefore complement and not replace more conventional biodiversity conservation measures. They should be guided by scenarios agreed by concerned stakeholders, should be constructivist and in most cases their success will require major changes in the behavior of local people.     

Landscape attributes governing local transmission of an endemic zoonosis: Rabies virus in domestic dogs

Landscape heterogeneity plays an important role in disease spread and persistence, but quantifying landscape influences and their scale dependence is challenging. Studies have focused on how environmental features or global transport networks influence pathogen invasion and spread, but their influence on local transmission dynamics that underpin the persistence of endemic diseases remains unexplored. Bayesian phylogeographic frameworks that incorporate spatial heterogeneities are promising tools for analysing linked epidemiological, environmental and genetic data. Here, we extend these methodological approaches to decipher the relative contribution and scale‐dependent effects of landscape influences on the transmission of endemic rabies virus in Serengeti district, Tanzania (area ~4,900 km²). Utilizing detailed epidemiological data and 152 complete viral genomes collected between 2004 and 2013, we show that the localized presence of dogs but not their density is the most important determinant of diffusion, implying that culling will be ineffective for rabies control. Rivers and roads acted as barriers and facilitators to viral spread, respectively, and vaccination impeded diffusion despite variable annual coverage. Notably, we found that landscape effects were scale‐dependent: rivers were barriers and roads facilitators on larger scales, whereas the distribution of dogs was important for rabies dispersal across multiple scales. This nuanced understanding of the spatial processes that underpin rabies transmission can be exploited for targeted control at the scale where it will have the greatest impact. Moreover, this research demonstrates how current phylogeographic frameworks can be adapted to improve our understanding of endemic disease dynamics at different spatial scales.     

景观对河流生态系统的影响

从景观的视角研究河流生态系统,是目前河流生态学中受到广泛关注且发展迅速的内容之一。流域内多尺度景观强烈影响河流的理化及生物特征,已成为共识,但有关量度、整合景观与河流生态系统二者之间联系的理论体系与方法的建立尚处于起步阶段。对景观组成与空间格局影响河流生态系统的机制与途径进行了系统总结,提出了该领域研究中的主要难题,即如何识别景观中人为因素和自然因素的协变现象,如何衡量多空间尺度景观对河流生态系统的交互影响,如何理解景观阈值的不确定性。为克服当前研究面临的困难与挑战,填补已有知识的不足,提出今后研究的重点方向:河流景观分类系统的改进;更具代表性时空数据的采集;新型景观指标的开发与应用;微观尺度数据与宏观尺度数据的整合等。     

城市内涝与基于自然的解决方案研究综述

受全球变暖和快速城市化的影响,城市可持续发展面临重大挑战。近10年,基于自然的解决方案(Nature-based Solutions,NbS)受到广泛关注与认可,为解决城市所面临的生态环境问题、提升城市韧性和可持续性提供了新的思路和途径。本文首先回顾了NbS的提出背景与发展历程,剖析了其核心内涵与框架准则,进而以城市中日益突出的内涝问题为例,介绍了NbS在应对和解决城市典型生态环境问题中的应用;通过汇总现有实施案例、整合多方观点,对比分析了NbS与国内外城市内涝管理的常用方法在概念框架、理论内涵和应用实践等方面的区别与联系;综合论述了基于NbS开展城市内涝管理所采用的技术手段、计量方法、评价模型的发展现状;最后,对NbS在我国的应用进行了展望,认为其在适应气候变化、提高城市韧性等方面具有巨大的潜力,但大范围的推广也面临理论认知尚不深入、实践过程存在障碍、专业人才与本土研究不足等多项挑战。     

Ambivalence and Contradictions: A Case from Mountain Agricultural Landscape Conservation

ABSTRACT

Loss of biodiversity stands out as a serious environmental challenge worldwide. Old mountain farmland is unique in this respect, as animal husbandry with summer grazing has created a rich ecosystem. Mountain farming usually takes place in relatively remote areas with scattered populations and marginal food production in terms of quantity. Outmigration and changes in agriculture result in overgrown pastures and thus a loss of biodiversity. To conserve biodiversity, politicians worldwide have put conservation of the mountain agricultural landscape on the agenda. The conservation policy includes traditional farming because nature in this cultural landscape depends on human activity. This article explores how policies have questionable effects on the landscape and shows how farmers choose various types of farming based on individual perspectives and goals. Several futures are conceivable, but under the circumstances of global environmental challenges, these are all fraught with uncertainty.     

Publics and vaccinomics: beyond public understanding of science

Vaccines have been among the most effective tools for addressing global public health challenges. With the advent of genomics, novel approaches for vaccine discovery are opening up new opportunities for vaccine development and applications, particularly with the expectation of personalized vaccines and the possibility of addressing a broader range of infectious diseases. In this context, it is useful to reflect on the social contexts of vaccine development as these have been influenced by social, ethical, political challenges. This article discusses the historical context of vaccine controversies and factors that help explain public acceptance and resistance, illustrating that these challenges go well beyond simple public misunderstandings. The broader vaccine challenges evident along the innovation trajectory, from development to commercialization and implementation include problems in research and development, organizational issues, and legal and regulatory challenges that may collectively contribute to public resistance or confidence. The recent history of genomics provides further lessons that the developing field of vaccinomics can learn from.     

The importance of spatial scale for trait–abundance relations

The concept of community assembly through trait‐based environmental filtering has played a key role in our understanding of how communities change over space and time, however, the importance of spatial scale in the filtering process remains unclear. We propose that different environmental filters may operate at different spatial scales, and that filters at finer scales would be nested within those acting at coarser scales. We tested for the existence of spatially nested sets of trait‐based filters in a temperate native grassland by applying the recently proposed maximum entropy (MaxEnt) approach to trait‐based community assembly, which we extend through a trait selection procedure. We found that different traits were important in influencing the abundances of species at the three different spatial scales examined (micro‐habitat, habitat, landscape), supporting the idea that trait based filtering processes operating at coarse spatial scales can be quite distinct from those operating at fine scales. Despite this result, we identified several traits which were frequently related to abundance at all spatial scales. Taken together, our results support the proposition that trait‐based environmental filters at finer spatial scales are nested within those operating at coarser scales. We compared our results to those obtained using a simpler trait‐by‐trait analytical approach (correlation analysis and MaxEnt on individual traits). The capacity for MaxEnt to incorporate multiple traits simultaneously provided unique insights into the important traits at each spatial scale and presents significant advantages over existing univariate and multivariate approaches.     

Mapping the information landscape of the United Nations Decade on Ecosystem Restoration Strategy

The strategy of the United Nations Decade on Ecosystem Restoration identifies three pathways for action for overcoming six global barriers thought to hamper upscaling. We evaluated 6,023 peer-reviewed and gray literature papers published over the last two decades to map the information landscape underlying the barriers and associated pathways for action across world regions, terrestrial ecosystem types, restorative interventions and their outcomes. Overall, the literature addressed more the financial and legislative barriers than the technical and research-related ones, supporting the view that social, economic and political factors hamper scaling up ecosystem restoration. Latin America, Africa, and North America were the most prominent regions in the literature, yet differed in the number of publications addressing each barrier. An overwhelming number of publications focused on forests (78%), while grasslands (6%), drylands (3%), and mangroves (2%) received less attention. Across the three pathways for action, the action lines on (1) promoting long-term ecosystem restoration actions and monitoring and (2) education on restoration were the most underrepresented in the literature. In general, restorative interventions assessed rendered positive outcomes except those of a political, legislative or financial nature which reported negative or inconclusive outcomes. Our indicative assessment reveals critical information gaps on barriers, pathways, and types of restorative interventions across world regions, particularly related to specific social issues such as education for ecosystem restoration. Finally, we call for refining “strength of evidence” assessment frameworks that can systematically appraise, synthesize and integrate information on traditional and practitioner knowledge as two essential components for improving decision-making in ecosystem restoration.     

Using ecological networks to answer questions in global biogeography and ecology

Ecological networks have classically been studied at site and landscape scales, yet recent efforts have been made to collate these data into global repositories. This offers an opportunity to integrate and upscale knowledge about ecological interactions from local to global scales to gain enhanced insights from the mechanistic information provided by these data. By drawing on existing research investigating patterns in ecological interactions at continental to global scales, we show how data on ecological networks, collected at appropriate scales, can be used to generate an improved understanding of many aspects of ecology and biogeography—for example, species distribution modelling, restoration ecology and conservation. We argue that by understanding the patterns in the structure and function of ecological networks across scales, it is possible to enhance our understanding of the natural world.     

Scaling biodiversity responses to hydrological regimes

Of all ecosystems, freshwaters support the most dynamic and highly concentrated biodiversity on Earth. These attributes of freshwater biodiversity along with increasing demand for water mean that these systems serve as significant models to understand drivers of global biodiversity change. Freshwater biodiversity changes are often attributed to hydrological alteration by water‐resource development and climate change owing to the role of the hydrological regime of rivers, wetlands and floodplains affecting patterns of biodiversity. However, a major gap remains in conceptualising how the hydrological regime determines patterns in biodiversity's multiple spatial components and facets (taxonomic, functional and phylogenetic). We synthesised primary evidence of freshwater biodiversity responses to natural hydrological regimes to determine how distinct ecohydrological mechanisms affect freshwater biodiversity at local, landscape and regional spatial scales. Hydrological connectivity influences local and landscape biodiversity, yet responses vary depending on spatial scale. Biodiversity at local scales is generally positively associated with increasing connectivity whereas landscape‐scale biodiversity is greater with increasing fragmentation among locations. The effects of hydrological disturbance on freshwater biodiversity are variable at separate spatial scales and depend on disturbance frequency and history and organism characteristics. The role of hydrology in determining habitat for freshwater biodiversity also depends on spatial scaling. At local scales, persistence, stability and size of habitat each contribute to patterns of freshwater biodiversity yet the responses are variable across the organism groups that constitute overall freshwater biodiversity. We present a conceptual model to unite the effects of different ecohydrological mechanisms on freshwater biodiversity across spatial scales, and develop four principles for applying a multi‐scaled understanding of freshwater biodiversity responses to hydrological regimes. The protection and restoration of freshwater biodiversity is both a fundamental justification and a central goal of environmental water allocation worldwide. Clearer integration of concepts of spatial scaling in the context of understanding impacts of hydrological regimes on biodiversity will increase uptake of evidence into environmental flow implementation, identify suitable biodiversity targets responsive to hydrological change or restoration, and identify and manage risks of environmental flows contributing to biodiversity decline.     

The macroecology of infectious diseases: a new perspective on global‐scale drivers of pathogen distributions and impacts

Identifying drivers of infectious disease patterns and impacts at the broadest scales of organisation is one of the most crucial challenges for modern science, yet answers to many fundamental questions remain elusive. These include what factors commonly facilitate transmission of pathogens to novel host species, what drives variation in immune investment among host species, and more generally what drives global patterns of parasite diversity and distribution? Here we consider how the perspectives and tools of macroecology, a field that investigates patterns and processes at broad spatial, temporal and taxonomic scales, are expanding scientific understanding of global infectious disease ecology. In particular, emerging approaches are providing new insights about scaling properties across all living taxa, and new strategies for mapping pathogen biodiversity and infection risk. Ultimately, macroecology is establishing a framework to more accurately predict global patterns of infectious disease distribution and emergence.     

Population responses within a landscape matrix: a macrophysiological approach to understanding climate change impacts

Global environmental change (GEC) is a significant concern. However, forecasting the outcomes of this change for species and ecosystems remains a major challenge. In particular, predicting specific changes in systems where initial conditions, instabilities, and model errors have large impacts on the outcome is problematic. Indeed, predictive community ecology has been deemed unworthy of pursuit or an unreachable goal. However, new developments in large-scale biology provide ways of thinking that might substantially improve forecasts of local and regional impacts of climate change. Most notably, these are the explicit recognition of the regional and landscape contexts within which populations reside, the matrix approach that can be used to investigate the consequences of population variation across space and within assemblages, and the development of macrophysiology, which explicitly seeks to understand the ecological implications of physiological variation across large spatial and temporal scales. Here we explore how a combination of these approaches might promote further understanding and forecasting of the effects of global climate change and perhaps other GEC drivers on biodiversity. We focus on the population level, examining the ways in which environmental variation might be translated through performance and its plasticity to variation in demography.     

Data-intensive science applied to broad-scale citizen science

Identifying ecological patterns across broad spatial and temporal extents requires novel approaches and methods for acquiring, integrating and modeling massive quantities of diverse data. For example, a growing number of research projects engage continent-wide networks of volunteers ('citizen-scientists') to collect species occurrence data. Although these data are information rich, they present numerous challenges in project design, implementation and analysis, which include: developing data collection tools that maximize data quantity while maintaining high standards of data quality, and applying new analytical and visualization techniques that can accurately reveal patterns in these data. Here, we describe how advances in data-intensive science provide accurate estimates in species distributions at continental scales by identifying complex environmental associations.     

Negotiating multiple motivations in the science and practice of ecological restoration

Summary In a recent piece in EMR, Burbidge et al. discussed some major impediments to linking research and practice in ecological restoration and management. They identified a lack of collaboration between research and practice, poor communication, inappropriate funding and political timelines, change inertia and a lack of capacity as major barriers to improving restoration praxis. They suggest capacity building, communication, collaboration and involving key stakeholders through an iterative cycle of research to management will improve the translation of research into practice (Ecological Management and Restoration 12, 2011, 54). While we agree with the barriers and recommendations identified, they did not consider how the multifaceted motivations embodied in the practice and social context of restoration shape the research–practice nexus. Given the diversity of actors involved in conservation activities, and the focus on conservation on private land and landscape‐scale connectivity in government policy, this is a significant oversight. We suggest it is vital to draw attention to these multifaceted motivations when discussing implementation challenges. This piece draws on our collective insights from three doctoral research projects examining the science, practice and social dimensions of ecological restoration and management in Australia. Our intention is to outline some of the social and contextual influences shaping restoration practice to demonstrate the importance of dialogue between researchers, practitioners and landholders around the goals and expectations of restoration and management interventions. We suggest this is an important aspect of improving the conversation between the actors involved in restoration research, policy and practice.