Propagation of local interactions create global gap structure and dynamics in a tropical rainforest

Gap dynamics in tropical forests are of interest because an understanding of them can help to predict canopy structure and biodiversity. We present a simple cellular automaton model that is capable of capturing many of the trends seen in the canopy gap pattern of a complex tropical rainforest on the Barro Colorado Island (BCI) using a single set of model parameters. We fit the global and local densities, the cluster size distributions, and two correlation functions, for gaps, gap formations, and gap closures determined from a spatial map of the forest (1983-1984). To the best of our knowledge, this is the first report that the cluster size distributions of gap formations and closures in the BCI are both power laws. An important element in the model is that when a transition from gap to non-gap (closure), or vice versa (formation), occurs, this transition is allowed to expand into adjacent cells in order to make different cluster sizes of transitions. Model results are in excellent agreement with reported field data. The propagation of local interactions is necessary in order to obtain the complex dynamics of the gap pattern. We also establish a connection between the global and local densities via the neighborhood-dependent transition rates and the effective global transition rates.     

Prioritization of peatland restoration and conservation interventions in Sumatra,Kalimantan and Papua

Peatlands in Indonesia are of global significance for biodiversity conservation and climate regulation, as well as of national and local significance for water management and livelihood support. Despite their importance, in tropics these ecosystems remain among the least investigated and monitored and are increasingly threatened by anthropogenic activities.To support the ongoing formulation, refinement and implementation of peatland restoration and conservation activities in Indonesia, we developed a methodology based on land cover and land productivity analysis, which will help prioritize interventions in Sumatra, Kalimantan and Papua.Results showed that of the analysed peatland area, approximately 45.5% should be conserved, 28.7% should be restored and 16.2% should be subjected to sustainable agricultural practices. Furthermore, the analysis showed that only 15.6% of the peatlands in need of conservation measures are currently protected, resulting in a necessary expansion of protected areas of about 84%.This study is intended as a tool for policy makers to guide future action, emphasising that conservation and restoration efforts in Indonesian peatlands should be increased, and providing spatial guidance for their implementation.     

New stochastic strategy to analyze helix folding

We propose an alternative stochastic strategy to search secondary structures based on the generalized simulated annealing (GSA) algorithm, by using conformational preferences based on the Ramachandran map. We optimize the search for polypeptide conformational space and apply to peptides considered to be good alpha-helix promoters above a critical number of residues. Our strategy to obtain conformational energies consist in coupling a classical force field (THOR package) with the GSA procedure, biasing the Phi x Psi backbone angles to the allowed regions in the Ramachandran map. For polyalanines we obtained stable alpha-helix structures when the number of residues were equal or exceeded 13 amino acids residues. We also observed that the energy gap between the global minimum and the first local minimum tends to increase with the polypeptide size. These conformations were generated by performing 2880 stochastic molecular optimizations with a continuum medium approach. When compared with molecular dynamics or Monte Carlo methods, GSA can be considered the fastest.     

Local and regional influences on patterns of parasite species richness of central European fishes

Local, regional and global influences on the patterns of parasite species richness of 39 freshwater fish species from Central Europe were investigated. Host local abundance and host occurrence were considered respectively as local and regional factors, while host geographical range in longitude and latitude was considered as a global factor. Influences of size, ecology and behavior of hosts were also included in a comparative analysis using the independent contrasts method. We considered host habitat, host diet, host shoaling behavior and mobility. We found a positive relationship between local occurrence of fish and global range of their distribution. We confirmed previous findings showing the importance of host behavior and ecology on the variability of parasite species richness. Second, we showed how a global pattern, such as host geographical range, may affect the variability in parasite species richness through its effects on local abundance and distribution of hosts. A negative relationship between endoparasite species richness and host longitudinal range was found. This suggests that fish with eastern distribution live in the boundary of their distribution in Central Europe far from their center of distribution, which should also be characterized by a higher diversity of parasites.     

Liberts’ Wet-in-Wet Painting

This article describes important global and local initiatives that have one common goal: to give access to and equal opportunities for arts/music education to all children and adolescents. The article also discusses the lack of information available to global leaders in arts education—without a worldwide picture of arts education practices, it is difficult to design local or global policies. The case of Brazil is presented, showing a timeline of advocacy campaigns and the success of establishing a law that assures compulsory music education in schools, as well as the challenges of regulating the profession and the need to rethink our pedagogical paradigm in a contemporary world. Regardless of local or international perspective, the establishment of policy needs to be based on research data and include dialogue between policymakers and arts teachers.     

Urban densification causes the decline of ground-dwelling arthropods

Urban densification is often considered has a green planning policy. However, its effects on woodland arthropods have been rarely analysed. To fill this gap, a multi-taxa approach using three ground-dwelling arthropod assemblages was conducted on 11 woodlands located along an urbanisation gradient. The gradient range from rural areas to one of the most urbanized cities in the world: Paris (France). Spiders, ground beetles and rove beetles were sampled with pitfall traps. We addressed the two following questions: (i) do the responses to urbanisation differ between taxa and/or between trait groups (habitat affinity to woodlands and dispersal capability) along the gradient? (ii) do the richness and abundance show a linear or an intermediate response? Our results showed a replacement of forest and non-flying species by generalist species and flying species with an increasing level of urbanisation. In term of species richness and abundance, the response varied between taxonomical and also trait groups. Some groups showed a strong linear decrease like forest carabids but other groups like spiders showed maximum values at intermediate levels of urbanisation. However, after a threshold of 70 % of built-in area, urbanisation negatively affected the species richness of all taxa and almost all trait groups, with a stronger effect on forest species. We suggest that the urban densification strongly impacted the assemblages of ground-dwelling arthropods by modifying both landscape and local properties of woodlands. To be considered as a green planning policy, the deleterious effects of urban densification should be mitigated.     

Evolution of local adaptations in dispersal strategies

The optimal probability and distance of dispersal largely depend on the risk to end up in unsuitable habitat. This risk is highest close to the habitat's edge and consequently, optimal dispersal probability and distance should decline towards the habitat's border. This selection should lead to the emergence of spatial gradients in dispersal strategies. However, gene flow caused by dispersal itself is counteracting local adaptation. Using an individual based model we investigate the evolution of local adaptations of dispersal probability and distance within a single, circular, habitat patch. We compare evolved dispersal probabilities and distances for six different dispersal kernels (two negative exponential kernels, two skewed kernels, nearest neighbour dispersal and global dispersal) in patches of different size. For all kernels a positive correlation between patch size and dispersal probability emerges. However, a minimum patch size is necessary to allow for local adaptation of dispersal strategies within patches. Beyond this minimum patch area the difference in mean dispersal distance between center and edge increases linearly with patch radius, but the intensity of local adaptation depends on the dispersal kernel. Except for global and nearest neighbour dispersal, the evolved spatial pattern are qualitatively similar for both, mean dispersal probability and distance. We conclude, that inspite of the gene-flow originating from dispersal local adaptation of dispersal strategies is possible if a habitat is of sufficient size. This presumably holds for any realistic type of dispersal kernel.     

Facing an unfortunate trade-off: policy responses,lessons and spill-overs during the COVID-19 pandemic

Although COVID-19 emerged as a global shock, governments adopted non-pharmaceutical policy responses that were rather heterogeneous, depending on cultural and institutional characteristics. At the country level, the stringency of ‘lockdown’-type policies should be set to achieve the best possible trade-off between economic and fatality dynamics, obviously accounting for possible cross-border influences. To allow for policy learning, I assume that the first country implementing a policy initiative that is worth emulating must either get the best possible health or the best possible economic outcome. I propose a combination of sign and magnitude restrictions, embedded in a global VAR model, to identify idiosyncratic policy shocks that spill over and influence policy responses abroad. Once policy shocks are identified, I run a comparison exercise between two model specifications, i.e. with and without policy emulation. Within a given a sample, this methodology can be used to find when and where policy lessons can be identified. I find that, among 17 developed and developing countries, few can offer lessons based on their policy initiatives, but several others might get better trade-offs through policy emulation, although in reality this outcome is not guaranteed to have occurred.     

Transforming Global Health by Improving the Science of Scale-Up

In its report Global Health 2035, the Commission on Investing in Health proposed that health investments can reduce mortality in nearly all low- and middle-income countries to very low levels, thereby averting 10 million deaths per year from 2035 onward. Many of these gains could be achieved through scale-up of existing technologies and health services. A key instrument to close this gap is policy and implementation research (PIR) that aims to produce generalizable evidence on what works to implement successful interventions at scale. Rigorously designed PIR promotes global learning and local accountability. Much greater national and global investments in PIR capacity will be required to enable the scaling of effective approaches and to prevent the recycling of failed ideas. Sample questions for the PIR research agenda include how to close the gap in the delivery of essential services to the poor, which population interventions for non-communicable diseases are most applicable in different contexts, and how to engage non-state actors in equitable provision of health services in the context of universal health coverage.     

Integrating trait‐based empirical and modeling research to improve ecological restoration

A global ecological restoration agenda has led to ambitious programs in environmental policy to mitigate declines in biodiversity and ecosystem services. Current restoration programs can incompletely return desired ecosystem service levels, while resilience of restored ecosystems to future threats is unknown. It is therefore essential to advance understanding and better utilize knowledge from ecological literature in restoration approaches. We identified an incomplete linkage between global change ecology, ecosystem function research, and restoration ecology. This gap impedes a full understanding of the interactive effects of changing environmental factors on the long‐term provision of ecosystem functions and a quantification of trade‐offs and synergies among multiple services. Approaches that account for the effects of multiple changing factors on the composition of plant traits and their direct and indirect impact on the provision of ecosystem functions and services can close this gap. However, studies on this multilayered relationship are currently missing. We therefore propose an integrated restoration agenda complementing trait‐based empirical studies with simulation modeling. We introduce an ongoing case study to demonstrate how this framework could allow systematic assessment of the impacts of interacting environmental factors on long‐term service provisioning. Our proposed agenda will benefit restoration programs by suggesting plant species compositions with specific traits that maximize the supply of multiple ecosystem services in the long term. Once the suggested compositions have been implemented in actual restoration projects, these assemblages should be monitored to assess whether they are resilient as well as to improve model parameterization. Additionally, the integration of empirical and simulation modeling research can improve global outcomes by raising the awareness of which restoration goals can be achieved, due to the quantification of trade‐offs and synergies among ecosystem services under a wide range of environmental conditions.     

Towards a global criteria based framework for the sustainability assessment of bioethanol supply chains: Application to the Swiss dilemma: Is local produced bioethanol more sustainable than bioethanol imported from Brazil?

Biofuels are considered as a promising substitute for fossil fuels when considering the possible reduction of greenhouse gases emissions. However limiting their impacts on potential benefits for reducing climate change is shortsighted. Global sustainability assessments are necessary to determine the sustainability of supply chains. We propose a new global criterion based framework enabling a comprehensive international comparison of bioethanol supply chains. The interest of this framework is that the selection of the sustainability indicators is qualified on three criterions: relevance, reliability and adaptability to the local context. Sustainability issues have been handled along environmental, social and economical issues. This new framework has been applied for a specific issue: from a Swiss perspective, is locally produced bioethanol in Switzerland more sustainable than imported from Brazil? Thanks to this framework integrating local context in its indicator definition, Brazilian production of bioethanol is shown as energy efficient and economically interesting for Brazil. From a strictly economic point of view, bioethanol production within Switzerland is not justified for Swiss consumption and questionable for the environmental issue. The social dimension is delicate to assess due to the lack of reliable data and is strongly linked to the agricultural policy in both countries. There is a need of establishing minimum sustainability criteria for imported bioethanol to avoid unwanted negative or leakage effects.     

Interannual variability of seasonal succession events in a temperate lake and its relation to temperature variability

The assessment of possible implications of anthropogenic climate change requires the evaluation of results obtained with complex climate models. Here we considered the problem of assessing the impact of climate variability on successional events in a lake (Plußsee) of the temperate region between January and May. We first established a statistical link between large-scale air temperature, at about 1500 m height, and the local temperature, in order to bridge the spatial gap of information obtained from global climate models and local climate which forces processes in the lake. Secondly, the local temperatures were statistically related to biologically induced dynamic features in the lake, derived from Secchi depths readings (as integrated measures). The observed relationships were compared with results from a phyto- and zooplankton population-dynamic model run under different temperature regimes. The local temperatures approximated closely the large-scale temperature. The timing of phyto- and zooplankton maxima (clearwater phase) were negatively related to the temperature. Thus, with a temperature increase both occurred earlier. The intensity of the spring algal maximum was negatively related to its timing, whereas no clear relation between the timing and intensity of the clearwater phase (zooplankton maximum) could be obtained.     

Global change pressures on soils from land use and management

Soils are subject to varying degrees of direct or indirect human disturbance, constituting a major global change driver. Factoring out natural from direct and indirect human influence is not always straightforward, but some human activities have clear impacts. These include land‐use change, land management and land degradation (erosion, compaction, sealing and salinization). The intensity of land use also exerts a great impact on soils, and soils are also subject to indirect impacts arising from human activity, such as acid deposition (sulphur and nitrogen) and heavy metal pollution. In this critical review, we report the state‐of‐the‐art understanding of these global change pressures on soils, identify knowledge gaps and research challenges and highlight actions and policies to minimize adverse environmental impacts arising from these global change drivers. Soils are central to considerations of what constitutes sustainable intensification. Therefore, ensuring that vulnerable and high environmental value soils are considered when protecting important habitats and ecosystems, will help to reduce the pressure on land from global change drivers. To ensure that soils are protected as part of wider environmental efforts, a global soil resilience programme should be considered, to monitor, recover or sustain soil fertility and function, and to enhance the ecosystem services provided by soils. Soils cannot, and should not, be considered in isolation of the ecosystems that they underpin and vice versa. The role of soils in supporting ecosystems and natural capital needs greater recognition. The lasting legacy of the International Year of Soils in 2015 should be to put soils at the centre of policy supporting environmental protection and sustainable development.     

Trait variation and integration across scales: is the leaf economic spectrum present at local scales?

Trait‐based approaches have taken an increasingly dominant role in community ecology. Although trait‐based strategy dimensions such as the leaf economic spectrum (LES) have been identified primarily at global‐scales, trait variation at the community scale is often interpreted in this context. Here we argue from several lines of evidence that a research priority should be to determine whether global‐scale trait relationships hold at more local scales. We review recent literature assessing trait variation at smaller scales, and then present a case study exploring the relationship between the correlation strength of leaf traits and their similarity in variation structure across ecological scales. We find that the correlation strength between pairs of leaf traits does not predict whether the traits respond similarly to different drivers of variation. Instead, correlation strength only sets an upper bound to the dissimilarity in trait variation structure. With moderate correlation strengths, LES traits largely retain the ability to respond independently to different drivers of phenotypic variation at different scales. Recent literature and our results suggest that LES relationships may not hold at local scales. Clarifying under what conditions and at which scales the LES is consistently expressed is necessary for us to make the most of the emerging trait toolbox.     

Using the natural capital index framework as a scalable aggregation methodology for regional biodiversity indicators

There is an increasing need for aggregated biodiversity indicators to inform policy decisions at all levels from local to global. Despite their similar policy goals, low-level (e.g. local, regional) and high-level (e.g. continental, global) indicator development is generally performed independently, and the resulting indicators are often incompatible both in their structure and data requirements. In this paper we focus on a particularly flexible aggregation framework originally developed for global assessments, the Natural Capital Index. We show that with the use of appropriate fine-scale data, the NCI framework can be applied in low-level policy contexts as well. To support this statement, we show that several established low-level indicators are essentially conforming to the NCI framework, and can be seen as existing low-level NCI implementations. The concept is illustrated with an implementation for Hungary, and the potential advantages and shortcomings of low level NCI implementations are discussed. NCI-based low level indicators can be implemented in any region, where a local indicator of ecological quality is systematically surveyed. Given the recent surge in monitoring activities worldwide, fuelled by global change and reporting obligations, fine-scale NCI implementations can become important additions to existing ecological state indicators useful in a wide range of local and regional policy contexts.     

基于政策工具视角的中国生物产业政策差异性分析

产业发展离不开产业政策的制定与发布,产业政策对于产业具有导向性与支持性,其制定主体主要包括中央政府和地方政府。以生物产业为例,采用计量分析的方法,搜集并整理了中央政府以及湖北、深圳、重庆、上海、北京五个地方政府颁布的生物产业政策,对其外部属性特征进行差异性分析,同时对多份国家层面的生物产业结构性政策运用内容分析的方法,进行政策工具分类分析,并构建了“政策工具-生物产业发展阶段”二维政策工具分析框架,探讨不同产业发展阶段之间政策工具使用的差异性。研究发现,中央政府与地方政府生物产业政策密集发布年份存在差异,且与生物产业发展关键节点有关联;国家层面生物产业政策不同类型政策工具使用频率差距较大,以环境型政策工具为主,较少使用需求型政策工具。针对研究结果,从我国生物产业发展情况及区域间差异的角度提出了相关政策建议。     

Reflections on global policy documents and the WHO's infant feeding guidelines: lessons learnt

As the papers in this thematic series have illustrated, the postnatal prevention of mother to child transmission of HIV (PMTCT) strategy has struggled with lack of local relevance. In an attempt to increase our understanding of the great dissonance between the policy intention and the experiences of the participants in concrete PMTCT programmes, we will in these concluding remarks draw upon writings in institutional ethnography. Through the concept of 'global texts' we reflect upon the scientific and ideological underpinnings of the WHO policy guidelines on HIV and infant feeding, and the influence that this policy has had across multiple local settings. The particular impact of the global postnatal PMTCT policy guidelines on the position of breastfeeding lies at the core of the discussion.     

Symmetry and the stationary state behavior of enzyme membranes

An analysis of the stationary state behavior of model enzyme (or catalytic) membranes is considered. In particular, membrane functional symmetry is shown to be of critical importance in deriving a unique set of global linear phenomenological relations from their local counterparts. Indeed the appropriate transformation of the dissipation function, based on the correct identification of the “transport plane” within the membrane, leads to a global analog of the Curie Principle. By extending the argument from the near-equilibrium regime to the pseudo-first-order kinetic regime a set of practical equations can be derived. These make it possible to obtain local transport and reaction parameters from global measurements. The facilitation of transport by reaction is discussed.     

Estimating local interaction from spatiotemporal forest data, and Monte Carlo bias correction

We point out a general problem in fitting continuous time spatially explicit models to a temporal sequence of spatial data observed at discrete times. To illustrate the problem, we examined the continuous time Markov model for forest gap dynamics. A forest is assumed to be apportioned into discrete cells (or sites) arranged in a regular square lattice. Each site is characterized as either a gap or a non-gap site according to the vegetation height of trees. The model incorporates the influence of neighboring sites on transition rate: transition rate from a non-gap to a gap site increases linearly with the number of neighbors that are currently in the gap state, and vice versa. We fitted the model to the spatiotemporal data of canopy height observed at the permanent plot in Barro Colorado Island (BCI). When we used the approximate maximum likelihood method to estimate the parameters of the model, the estimated transition rates included a large bias-in particular, the strength of interaction between nearby sites was underestimated. This bias originated from the assumption that each transition between two observation times is independent. The interaction between sites at local scale creates a long chain of transitions within a single census interval, which violates the independence of each transition. We show that a computer-intensive method, called Monte Carlo bias correction (MCBC), is very effective in removing the bias included in the estimate. The global and local gap densities measuring spatial aggregation of gap sites were computed from simulated and real gap dynamics to assess the model. When the approximate likelihood estimates were applied to the model, the predicted local gap density was clearly lower than the observed one. The use of MCBC estimates, suggesting a strong interaction between sites, improved this discrepancy.     

Joining science and policy in capacity development for monitoring progress towards the Aichi Biodiversity Targets in the global South

In view of better linking conservation and sustainable development, it is imperative to optimize the transfer of biodiversity-related knowledge and technology from resource-rich countries to developing countries. All countries signatory to the Convention on Biological Diversity are expected to report on their progress towards achieving the Aichi Biodiversity Targets. However, weak data coverage and the technicality or even unavailability of indicators present major barriers to the monitoring of biodiversity as well as the development of adequate biodiversity policies and management plans in many countries of the global South, hence increasing the North-South knowledge and capacity gap. Capacity development in these countries may hence substantially enrich global biodiversity monitoring and policy. In this effort, ensuring that monitoring programs are realistic and sufficiently embedded in policy remains a challenge. To contribute to the mainstreaming of biodiversity into development cooperation, we developed a capacity development concept that links scientific data to policy development. To guarantee shared ownership, academic institutes and organisations or authorities with responsibilities in biodiversity policy were invited to jointly submit competitive “Monitoring, Reporting and Verification” (MRV) project applications. It appeared that especially ground truthing, economic valuation of biodiversity, and the application of modern technologies in biodiversity monitoring were missing capacities in the global South. Efforts are also required to increase the understanding and use of indicators to avoid them remaining a theoretical concept. As is observed with MRV in the carbon context, increased involvement of local communities is recommended in the global MRV framework, including techniques such as community-based Mapping, Measuring and Monitoring.