The sustainable neighborhoods for happiness (SNfH) decision tool: Assessing neighborhood level sustainability and happiness

The relationship between sustainability and happiness is an intriguing and growing research area (Cloutier et al., 2013; Montgomery, 2013; Florida et al., 2013; Leyden et al., 2011). However, a review of primary literature and research indicates a missing gap in neighborhood level assessments of sustainability and happiness. The Sustainable Neighborhoods for Happiness Index (SNHI) was developed using city level data and studies (Cloutier et al., 2014), but was created with the intent of serving as a neighborhood measure. Within this paper, we detail the development of the Sustainable Neighborhoods for Happiness (SNfH) Decision Tool – a neighborhood level assessment tool, derived from the SNHI, to assist in decisions around future strategies for sustainable community development. While several sustainability decision tools exist, there is a need for those that are easily understood and accessible to neighborhood stakeholders (e.g., residents, community leaders, city employees). The SNfH Decision Tool was created with a user-friendly graphical front-end and embedded back-end calculations to inform users. The goal is to help neighborhood stakeholders identify the needs of their community to swiftly take action to alleviate issues and promote a sustainable and happy future.     

Human well-being differs by community type: Toward reference points in a human well-being indicator useful for decision support

Human activity has growing impacts on the natural capital humans depend on for existence. While many of these impacts are regional, national, or international in scope, it is increasingly evident that decisions made at the local community level are also important. Yet, understanding the impacts of local decisions, as well as how to correct or mitigate these impacts, can be problematic, as communities differ in resources, priorities, dependencies on natural capital, and even opinions about whether these impacts actually affect quality of life. Every community has unique characteristics, however effective decision support at the community level requires common reference points in measures of human well-being upon which to base decision support. We have developed a community classification system that is intended to find such common ground in community characteristics and tie these common elements to measures of human well-being. This community classification system was developed in the USA with publically available data on resource dependence, socio-economic composition, and existence of natural capital. The resulting classification was applied to coastal communities at the county level and then used to predict human well-being based on an existing human well-being index. Coastal communities were separated into eight characteristics groups based on Bayesian cluster analysis. Classification groups were found to be associated with significant differences in human well-being. More importantly, significant differences in specific elements of well-being were associated with key community characteristics, such as population density and economic dependence on local natural resources. In particular, social cohesion and the leisure time were strong elements of well-being in low density communities with high natural resource dependence but this association weakened as population densities and economically diversity increased. These sorts of commonalities in community type that can be tied to differences in human well-being are important because they provide clear ties to environmental service flows, as well as a meaningful reference point from which to measure the local impacts of decisions as changes in community-specific human well-being.     

New directions for improving the management of agricultural soils

Idowu et al., in this edition of Plant and Soil describe a welcome new tool that allows farmers to optimize the management of their fields. It is based on a holistic approach that integrates assays of soil physical, chemical and biological parameters into an easily understandable, low-cost and quantitative estimate of soil quality or “health”. It can facilitate tracking and understanding of the short and long term effects of different management approaches on soil (and crop) health. Most of the assays used are based on traditional, labour-intensive techniques. The tool could be improved through employment of assay technologies that are under development. For example, Idowu et al., in this edition investigated the use of near infra-red spectroscopy as a replacement for some of the traditional soil assays. Similarly, future developments in remote spectroscopic assays, using satellite, airborne or land-based platforms may facilitate further improvement.     

Case study and application of process analytical technology (PAT) towards bioprocessing: Use of tryptophan fluorescence as at‐line tool for making pooling decisions for process chromatography

Process analytical technology (PAT) has been gaining momentum in the biopharmaceutical community due to the potential for continuous real time quality assurance resulting in improved operational control and compliance. Two imperatives for implementing any PAT tool are that “variability is managed by the process” and “product quality attributes can be accurately and reliably predicted over the design space established for materials used, process parameters, manufacturing, environmental, and other conditions.” Recently, we have been examining the feasibility of applying different analytical tools to bioprocessing unit operations. We have previously demonstarted that commercially available online‐high performance liquid chromatography and ultra performance liquid chromatography systems can be used for analysis that can facilitate real‐time decisions for column pooling based on product quality attributes (Rathore et al., 2008 a,b). In this article, we review an at‐line tool that can be used for pooling of process chromatography columns. We have demonstrated that our tryptophan fluorescence method offers a feasible approach and meets the requirements of a PAT application. It is significantly faster than the alternative of fractionation, offline analysis followed by pooling. Although the method as presented here is not an online method, this technique may offer better resolution for certain applications and may be a more optimal approach as it is very conducive to implementation in a manufacturing environment. This technique is also amenable to be used as an online tool via front face fluorescence measurements done concurrently with product concentration determination by UV. © 2009 American Institute of Chemical Engineers Biotechnol. Prog., 2009     

A forest‐specialist carnivore in the middle of the desert?Comments on Anabalon et al. 2019

We present comments on an article recently published in Ecology and Evolution (“High‐resolution melting of the cytochrome B gene in fecal DNA: A powerful approach for fox species identification of the Lycalopex genus in Chile”) by Anabalon et al. that reported the presence of Darwin's fox (Lycalopex fulvipes), a temperate forest specialist, in the hyperarid Atacama Desert of northern Chile. We argue that this putative record lacks ecological support in light of ongoing research on this endangered species, and contains numerous methodological flaws and omissions related to the molecular identification of the species. Based on these issues, we suggest the scientific community and conservation decision‐makers disregard the alleged presence of the Darwin's fox in the Atacama Desert.     

Putting the genes into community genetics

As part of the long‐term fusion of evolutionary biology and ecology (Ford, 1964), the field of community genetics has made tremendous progress in describing the impacts of plant genetic variation on community and ecosystem processes. In the “genes‐to‐ecosystems” framework (Whitham et al., 2003), genetically based traits of plant species have ecological consequences, but previous studies have not identified specific plant genes responsible for community phenotypes. The study by Barker et al. (2019) in this issue of Molecular Ecology uses an impressive common garden experiment of trembling aspen (Figure 1) to test for the genetic basis of tree traits that shape the insect community composition. Using a Genome‐Wide Association Study (GWAS), they found that genomic regions associated with phytochemical traits best explain variation in herbivore community composition, and identified specific genes associated with different types of leaf‐modifying herbivores and ants. This is one of the first studies to identify candidate genes underlying the heritable plant traits that explain patterns of insect biodiversity.     

Finding academic concerns of the Three Gorges Project based on a topic modeling approach

The Three Gorges Project (TGP) has gone into the overall completion acceptance stage in 2014. As the world's largest hydropower project, the TGP has attracted worldwide attention over the past few decades. Previous studies mainly focused on a single aspect, such as engineering technologies, social impacts and environmental impacts, of the TGP. However, a large-scale review gathering systematic data to find academic concerns about the TGP is missing. Topic model is a text mining approach for discovering latent topics in a collection of documents. In this article, an emerging topic modeling approach, Latent Dirichlet Allocation (LDA), was introduced to uncover the intellectual structure of the academic literature focusing on the TGP. A collection of 8280 Chinese research articles highly related to the TGP was established with a time frame ranging from 2001 to 2013, and an 18-topic model was used to describe the intellectual structure. Two novel bibliometric indicators, including topic proportion and topic trend, were constructed to describe the academic concerns of the TGP. Topic proportion analysis shows that post-construction issues, including the social and environmental impacts brought by the TGP, have attracted more attention than the construction issues. “Ecology”, “Reservoir Operation”, “Land Administration”, and “Water Pollution”, have become the dominant research topics regarding the TGP during these years. Meanwhile, “Construction Technology” and “Design”, have gradually lost scholars’ interest. The results show that the approach reported in this study can provide sound and credible conclusions of the major academic concerns for a hydropower project. The topic modeling approach is expected to be widely applied as a methodological strategy in future hydropower and other infrastructure project assessment.     

Where is the Evidence for Assessing Evidence‐Based Restoration? Comments on Ntshotsho et al. (2010)

In their article “Assessing the evidence base for restoration in South Africa,” Ntshotsho et al. attempt to determine whether restoration in South Africa is evidence based by reporting on 10 projects' baseline data collection, goal setting, and monitoring. However, their contribution suffers from two major constraints. First, they confuse assessing the evidence base with assessing whether restoration is evidence based. Truly, assessing the evidence base would entail a systematic review of the quantity and quality of information available as well as the conclusions supported, perhaps in a meta‐analytical framework. Determining if restoration is evidence based would require a survey of project managers to evaluate if they take decisions based on scientific information. Second, Ntshotsho et al. do not clearly distinguish successfully achieving restoration project goals from successfully restoring ecosystems. They largely focus on projects' socioeconomic goals without emphasizing that these goals are, by definition, secondary to ecological goals in determining restoration success. Thus, Ntshotsho et al. provide neither a sound assessment of the evidence base for restoration nor whether restoration is evidence based. To evaluate and encourage evidence‐based restoration in South Africa, we recommend a simple assessment of the basis on which restoration managers make decisions, identification of factors precluding evidence‐based decision‐making, and development of platforms to evaluate the data collected in restoration programs to generate an evidence base from which to make defendable decisions.     

Is oral microbiome of children able to maintain resistance and functional stability in response to short-term interference of ingesta?

Dear Editor, A series of studies had focused on the ecological stability of human microbiome (Lozupone et al.,2012;Faith et al.,2013;Moya and Ferrer,2016).Despite the continuous perturbation and the highly personalized composition within the human microbiome (Human Microbiome Project,2012),healthy adults stably maintain their microbial communities in terms of space and time (Faith et al.,2013;Moya and Ferrer,2016;Oh et al.,2016).This stability is proved to be critical for the well-being of human body (Lozupone et al.,2012).On the contrary,major shifts in microbial community composition are often related to diseases (Lynch and Pedersen,2016).     

Small bending,big curvature

<正>The classical "Cholodny-Went theory" predicted that directional stimuli trigger the redistribution of auxin, which governs the differential growth of plant organs through potent effects on cell expansion, thereby establishing an"auxin-then-growth" paradigm; this theory has been validated for both gravitropism and phototropism in plants(reviewed in Muthert et al., 2020).     

A Decision Support Framework for Sustainable Waste Management

This article describes a decision support framework for the evaluation of scenarios for the integrated management of municipal solid waste within a local government area (LGA).
The work is initially focused on local government (i.e., municipal councils) in the state of Queensland, Australia; however, it is broadly applicable to LGAs anywhere. The goal is to achieve sustainable waste management practices by balancing global and regional environmental impacts, social impacts at the local community level, and economic impacts. The framework integrates life-cycle assessment (LCA) with other environmental, social, and economic tools. For this study, social and economic impacts are assumed to be similar across developed countries of the world. LCA was streamlined at both the life-cycle inventory and life-cycle impact assessment stages.
For this process, spatial resolution is introduced into the LCA process to account for impacts occurring at the local and regional levels. This has been done by considering social impacts on the local community and by use of a regional procedure for LCA data for emissions to the environment that may have impacts at the regional level.
The integration follows the structured approach of the pressure-state-response (PSR) model suggested by the Organisation for Economic Cooperation and Development (OECD). This PSR model has been extended to encompass nonenvironmental issues and to guide the process of applying multiple tools.
The framework primarily focuses on decision analysis and interpretation processes. Multiattribute utility theory (MAUT) is used to assist with the integration of qualitative and quantitative information. MAUT provides a well-structured approach to information assessment and facilitates objective, transparent decisions. A commercially available decision analysis software package based on MAUT has been used as the platform for the framework developed in this study.     

Reply to response to Dyck et al. (2007) on polar bears and climate change in western Hudson Bay by Stirling et al. (2008)

We address the three main issues raised by Stirling et al. [Stirling, I., Derocher, A.E., Gough, W.A., Rode, K., in press. Response to Dyck et al. (2007) on polar bears and climate change in western Hudson Bay. Ecol. Complexity]: (1) evidence of the role of climate warming in affecting the western Hudson Bay polar bear population, (2) responses to suggested importance of human–polar bear interactions, and (3) limitations on polar bear adaptation to projected climate change. We assert that our original paper did not provide any “alternative explanations [that] are largely unsupported by the data” or misrepresent the original claims by Stirling et al. [Stirling, I., Lunn, N.J., Iacozza, I., 1999. Long-term trends in the population ecology of polar bears in western Hudson Bay in relation to climate change. Arctic 52, 294–306], Derocher et al. [Derocher, A.E., Lunn, N.J., Stirling, I., 2004. Polar bears in a warming climate. Integr. Comp. Biol. 44, 163–176], and other peer-approved papers authored by Stirling and colleagues. In sharp contrast, we show that the conclusion of Stirling et al. [Stirling, I., Derocher, A.E., Gough, W.A., Rode, K., in press. Response to Dyck et al. (2007) on polar bears and climate change in western Hudson Bay. Ecol. Complexity] – suggesting warming temperatures (and other related climatic changes) are the predominant determinant of polar bear population status, not only in western Hudson (WH) Bay but also for populations elsewhere in the Arctic – is unsupportable by the current scientific evidence.The commentary by Stirling et al. [Stirling, I., Derocher, A.E., Gough, W.A., Rode, K., in press. Response to Dyck et al. (2007) on polar bears and climate change in western Hudson Bay. Ecol. Complexity] is an example of uni-dimensional, or reductionist thinking, which is not useful when assessing effects of climate change on complex ecosystems. Polar bears of WH are exposed to a multitude of environmental perturbations including human interference and factors (e.g., unknown seal population size, possible competition with polar bears from other populations) such that isolation of any single variable as the certain root cause (i.e., climate change in the form of warming spring air temperatures), without recognizing confounding interactions, is imprudent, unjustified and of questionable scientific utility. Dyck et al. [Dyck, M.G., Soon, W., Baydack, R.K., Legates, D.R., Baliunas, S., Ball, T.F., Hancock, L.O., 2007. Polar bears of western Hudson Bay and climate change: Are warming spring air temperatures the “ultimate” survival control factor? Ecol. Complexity, 4, 73–84. doi:10.1016/j.ecocom.2007.03.002] agree that some polar bear populations may be negatively impacted by future environmental changes; but an oversimplification of the complex ecosystem interactions (of which humans are a part) may not be beneficial in studying external effects on polar bears. Science evolves through questioning and proposing hypotheses that can be critically tested, in the absence of which, as Krebs and Borteaux [Krebs, C.J., Berteaux, D., 2006. Problems and pitfalls in relating climate variability to population dynamics. Clim. Res. 32, 143–149] observe, “we will be little more than storytellers.”     

When can noise induce chaos and why does it matter: a critique

Noise‐induced chaos illustrates how small amounts of exogenous noise can have disproportionate qualitative impacts on the long term dynamics of a nonlinear system. This property is particularly clear in chaotic systems but is also important for the majority of ecological systems which are nonchaotic, and has direct implications for analyzing ecological time series and testing models against field data. Dennis et al. point out that a definition of chaos which we advocated allows a noise‐dominated system to be classified as chaotic when its Lyapunov exponent λ is positive, which misses what is really going on. As a solution, they propose to eliminate the concept of noise‐induced chaos: chaos “should retain its strictly deterministic definition”, hence “ecological populations cannot be strictly chaotic”. Instead, they suggest that ecologists ask whether ecological systems are strongly influenced by “underlying skeletons with chaotic dynamics or whatever other dynamics”– the skeleton being the hypothetical system that would result if all external and internal noise sources were eliminated. We agree with Dennis et al. about the problem – noise‐dominated systems should not be called chaotic – but not the solution. Even when an estimated skeleton predicts a system's short term dynamics with extremely high accuracy, the skeleton's long term dynamics and attractor may be very different from those of the actual noisy system. Using theoretical models and empirical data on microtine rodent cycles and laboratory populations of Tribolium, we illustrate how data analyses focusing on attributes of the skeleton and its attractor – such as the “deterministic Lyapunov exponent”λ₀ that Dennis et al. have used as their primary indicator of chaos – will frequently give misleading results. In contrast, quantitative measures of the actual noisy system, such as λ, provide useful information for characterizing observed dynamics and for testing proposed mechanistic explanations.     

Ecosystem Approaches to Human Health and Well-being: Reflections from Use in a Mining Context

This article briefly discusses the evolution of ecosystem approaches, and illustrates the use of ecosystem approaches to assess human health and well-being in a mining context. It discusses the various elements that help distinguish such approaches from other approaches. Well-being here is understood broadly in terms of its “constituents” and “determinants,” of which health is an important constituent. Ecological, health, and social assessments highlighted a number of impacts from mining activity in Goa, India. These generated a list of issues of concern that were validated by stakeholders—community, industry, and government—which served as a basis for the development of tools to track mining-induced changes in health and well-being. The article concludes by reflecting on some of the challenges posed by the use of ecosystem approaches to assessing human health and well-being.     

Not deconstructing serial homology,but instead,the a priori assumption that it generally involves ancestral anatomical similarity: An answer to Kuznetsov's paper

I am very thankful to Kuznetsov for his comments on our recent paper about serial structures published in this journal. I hope this is just the beginning of a much wider, and holistic, discussion on the evolution of serial homologous structures, and of so-called “serial structures” in general, whether they are truly serial homologs or the secondary result of homoplasy. Strangely, Kuznetsov seems to have missed the main point of our paper, what is particularly puzzling as this point is clearly made in the very title of our paper. For instance, he states that “Siomava et al. claim that the serial homologues are false because they are ancestrally anisomeric (dissimilar)' and that” Siomava et al., (Siomava et al., Journal of Morphology, 2020, 281, 1110–1132) expected that if serial homology was true, then the serial homologs would be identical at the start and then only diverge. “ However, our paper clearly did not state this. Instead, we stated that (a) serial homology is a real phenomenon, and (b) ancestral dissimilarity is actually likely the norm, and not the exception, within serial homology. In particular, our paper showed that, as clearly stated in its title and abstract, within the evolution of serial homologues these structures “many times display trends toward less similarity while in many others display trends toward more similarity, that is, one cannot say that there is a clear, overall trend to anisomerism.” Serial homology is therefore a genuine and much widespread phenomenon within the evolution of life in this planet. It is clearly one of the most important issues—and paradoxically one of the less understood, precisely because of the a priori acceptance of long-standing assumptions that have never been empirically tested, some of them repeated in Kuznetsov's paper—within macroevolution and comparative anatomy.     

Social evaluation of municipal solid waste management systems from a life cycle perspective: a systematic literature review

Purpose

The social aspects of municipal solid waste management (MSWM) systems are underpinning their sustainability and effectiveness. The assessment of these systems from a life cycle perspective is widespread throughout environmental life cycle assessment (LCA), but few studies have used social life cycle assessment (S-LCA). The present study is an innovative review with the objective to analyse and describe the current level of development of S-LCA applications in MSWM, and to identify the main methodological challenges and best practices, aiming at recommending approaches to harmonise future S-LCA applications in MSWM.

Materials and methods

A systematic review of the literature found 36 relevant scientific articles. These were submitted to bibliometric and content analysis, which includes an analysis of how methodological aspects of the four phases of S-LCA were applied in comparison with best practice and existing guidelines.

Results and discussion

There was a predominance of case studies in developing countries (59%) and evaluation of the stages of collection/transportation, pre-processing (sorting) and landfilling (55%). There were more studies focusing on stakeholders, “workers” and “local communities” and in the impact subcategories “employment”, “working hours”, “health and safety/working conditions”, “community involvement/participation” and “health and safety/living conditions of community”. There was great variability in the application of the method (47% of the studies included methodological developments). However, the 39% based on UNEP guidelines were closer to a methodological consensus.

Conclusion

In general, studies need more detail and clarity in describing the methodological decisions used. Improvements are needed for issues that limit the S-LCA method, including the difficulties of covering the entire life cycle, relating impacts to the functional unit, standardizing impact assessment methods, addressing allocation and data quality issues and interpretation of results and their limitations. Improvements can be achieved by using participatory methods in the selection of categories, subcategories and impact indicators, as well as by clarifying the definition of a product system and detailing “cut-off criteria” of processes/organizations and the impact of these decisions on results.

     

The evolution of Society for Ecological Restoration's principles and standards—counter‐response to Gann et al.

In response to our recent article (Higgs et al. 2018) in these pages, George Gann and his coauthors defended the Society for Ecological Restoration (SER) International Standards, clarified several points, and introduced some new perspectives. We offer this counter‐response to address some of these perspectives. More than anything, our aims are in sharpening the field of restoration in a time of rapid scaling‐up of interest and effort, and support further constructive dialogue going forward. Our perspective remains that there is an important distinction needed between “Standards” and “Principles” that is largely unheeded by Gann et al. (2018). We encourage SER to consider in future iterations of its senior policy document to lean on principles first, and then to issue advice on standards that meet the needs of diverse conditions and social, economic, and political realities.     

First International Conference on “Biotechnology in Agriculture”

The 1st International Conference on “Biotechnology in Agriculture” was held at the Agricultural University of Tirana, Albania, from the 22nd to the 23rd of April 2014. The conference was organized as collaboration between the Agricultural University of Tirana (AUT) and the Friedrich Schiller University in Jena, Germany. About 200 scientists from different countries presented their work orally or as posters covering the three main topics of the conference: plant, animal and food biotechnology. The conference included a field trip as well to the Experimental Didactic Economy Station and a Fish Farm, both belonging to the Agricultural University of Tirana. In this report, we describe the main topics of the Conference and a summary of talks and posters presented in different sessions. The main conclusions provided at the end of the activity, the objectives for the future and a brief overview of the field trips and pre- and post-conference tours are displayed in this current report. Since the conference on “Biotechnology in Agriculture” was the first one organized in Albania and also an international one, it was of a great interest for the participants and also for the scientific community working in the biotechnology area. Therefore, one of the decisions made at the end of the conference was to hold similar conferences periodically, every two years, at AUT.     

Streamlining Disease Risk Analysis for Wildlife Using the Shark Bay Bandicoot as a Model

Disease risk analysis (DRA) is a process for identifying significant disease risks and proposing measures to mitigate those risks. Although numerous methodologies for DRA exist, the IUCN Disease Risk Analysis Manual Jakob-Hoff et al. (World Organisation for Animal Health, Paris, pp 160, 2014) remains the gold standard for wild animal translocations. In some cases, however, constraints of time or resources demand compromises on the ideal methodology, and a cost–benefit assessment is required to determine the best approach. We propose a methodology modified from Jakob-Hoff et al. (World Organisation for Animal Health, Paris, pp 160, 2014) and Sainsbury and Vaughan-Higgins (Conserv Biol 26:442–452, 2012), using translocations of the Shark Bay bandicoot (SBB) (Perameles bougainville) as an example. In this study, 44 hazards were identified and described for Peramelidae species. We used hazard prioritization and “scoping” to develop a shortlist of hazards for detailed risk assessment, which excluded 35 of these hazards from further assessment. This approach enabled timely, efficient and cost-effective completion of the DRA while maintaining transparent evaluation of all disease risks. We developed a disease risk management strategy for SBB based on structured, evidence-based analysis of current information and established biosecurity practices and disease screening recommendations for future translocations. Our approach demonstrates a practical process for DRA and risk mitigation, which delivered management outcomes despite limited resources, variable knowledge of disease epidemiology and uncertain translocation pathways for the target species. Limitations are acknowledged, and further research will aim to objectively test this methodology compared to other available methods.