Objectives for Stakeholder Engagement in Global Environmental Assessments

Global environmental assessments (GEAs) are among the most large-scale, formalized processes for synthesizing knowledge at the science–policy–society interface. The successful engagement of diverse stakeholders in GEAs is often described as a crucial mechanism for increasing their legitimacy, salience and credibility. However, the diversity of perspectives on the more precise objectives for stakeholder engagement remains largely unclear. The aims of this study are to categorize and characterize the diversity of perspectives on objectives for stakeholder engagement in GEAs; to explore differences in perspectives within and between different stakeholder groups and categories; and to test whether the more practical prioritization and selection of objectives in GEAs can be linked to deliberative policy learning as a higher-level rationale for stakeholder engagement. For these purposes, we conduct a grounded theory analysis and a keyword analysis of interview material and official GEA documents relating to two GEAs: UN Environment’s Fifth Global Environment Outlook and the Working Group III contribution to the Intergovernmental Panel on Climate Change Fifth Assessment Report. Based on the analysis, we identify six categories of objectives and present as hypotheses promising ways forward for prioritizing and characterizing objectives for stakeholder engagement in GEAs, as well as potential reasons for the differences between perspectives on objectives. This study draws attention to the need for future GEA processes to have more explicit discussions on the objectives for stakeholder engagement, as well as the importance of moving towards increasingly deliberative and inclusive assessment processes more broadly

Asynchronous exposure to global warming: Freshwater resources and terrestrial ecosystems

This modelling study demonstrates at what level of global mean temperature rise (ΔTg) regions will be exposed to significant decreases of freshwater availability and changes to terrestrial ecosystems. Projections are based on a new, consistent set of 152 climate scenarios (eight ΔTg trajectories reaching 1.5–5 ° C above pre-industrial levels by 2100, each scaled with spatial patterns from 19 general circulation models). The results suggest that already at a ΔTg of 2 ° C and mainly in the subtropics, higher water scarcity would occur in >50% out of the 19 climate scenarios. Substantial biogeochemical and vegetation structural changes would also occur at 2 ° C, but mainly in subpolar and semiarid ecosystems. Other regions would be affected at higher ΔTg levels, with lower intensity or with lower confidence. In total, mean global warming levels of 2 ° C, 3.5 ° C and 5 ° C are simulated to expose an additional 8%, 11% and 13% of the world population to new or aggravated water scarcity, respectively, with >50% confidence (while ~1.3 billion people already live in water-scarce regions). Concurrently, substantial habitat transformations would occur in biogeographic regions that contain 1% (in zones affected at 2 ° C), 10% (3.5 ° C) and 74% (5 ° C) of present endemism-weighted vascular plant species, respectively. The results suggest nonlinear growth of impacts along with ΔTg and highlight regional disparities in impact magnitudes and critical ΔTg levels

Scientific assessments to facilitate deliberative policy learning

Putting the recently adopted global Sustainable Development Goals or the Paris Agreement on international climate policy into action will require careful policy choices. Appropriately informing decision-makers about longer-term, wicked policy issues remains a considerable challenge for the scientific community. Typically, these vital policy issues are highly uncertain, value-laden and disputed, and affect multiple temporal and spatial scales, governance levels, policy fields, and socioeconomic contexts simultaneously. In light of this, science-policy interfaces should help facilitate learning processes and open deliberation among all actors involved about potentially acceptable policy pathways. For this purpose, science-policy interfaces must strive to foster some enabling conditions: (1) “representation” in terms of engaging with diverse stakeholders (including experts) and acknowledging divergent viewpoints; (2) “empowerment” of underrepresented societal groups by co-developing and integrating policy scenarios that reflect their specific knowledge systems and worldviews; (3) “capacity building” regarding methods and skills for integration and synthesis, as well as through the provision of knowledge synthesis about the policy solution space; and (4) “spaces for deliberation”, facilitating direct interaction between different stakeholders, including governments and scientists. We argue that integrated, multi-stakeholder, scientific assessment processes—particularly the collaborative assessments of policy alternatives and their various implications—offer potential advantages in this regard, compared with alternatives for bridging scientific expertise and public policy. This article is part of a collection on scientific advice to governments

Effectively empowering: A different look at bolstering the effectiveness of global environmental assessments

Global environmental assessments are widely considered to play a prominent role in environmental governance. However, they are also criticised for a lack of effectiveness in informing policy and decision-making. In response, GEAs have adopted a number of strategies to bolster their effectiveness, including by orienting themselves towards solutions (solution-orientation), increasing the diversity of included experts (participation), and producing more targeted assessments (contextualisation). In this article, we analyse these strategies as attempts to be effective for multiple audiences while also identifying the limitations of these strategies. Based on this analysis, we propose to conceive of GEAs as processes that are able to empower diverse actors – ranging from diplomats in international negotiations to civil society activists, or indigenous and local knowledge holders – to act towards socio-environmental objectives. Seen in this light, the effectiveness of GEAs can be improved by reflecting on which actors can benefit from assessments and how assessments can contribute to their empowerment. This strategy goes beyond current proposals that aim to strengthen the authority of assessments by boosting the scientific quality and credibility of the reports. Indeed, it complements them with an explicitly political perspective. Using examples of empowerment in different phases of GEA production and use, we argue that this reconceptualisation of effectiveness requires assessments to reflect a diversity of problem and solution frames, thereby creating entry points for the empowerment of a broad range of actors. We conclude by providing three illustrative ideas to improve effectiveness for the design and execution of assessments

Correlated Mutations: A Hallmark of Phenotypic Amino Acid Substitutions

Point mutations resulting in the substitution of a single amino acid can cause severe functional consequences, but can also be completely harmless. Understanding what determines the phenotypical impact is important both for planning targeted mutation experiments in the laboratory and for analyzing naturally occurring mutations found in patients. Common wisdom suggests using the extent of evolutionary conservation of a residue or a sequence motif as an indicator of its functional importance and thus vulnerability in case of mutation. In this work, we put forward the hypothesis that in addition to conservation, co-evolution of residues in a protein influences the likelihood of a residue to be functionally important and thus associated with disease. While the basic idea of a relation between co-evolution and functional sites has been explored before, we have conducted the first systematic and comprehensive analysis of point mutations causing disease in humans with respect to correlated mutations. We included 14,211 distinct positions with known disease-causing point mutations in 1,153 human proteins in our analysis. Our data show that (1) correlated positions are significantly more likely to be disease-associated than expected by chance, and that (2) this signal cannot be explained by conservation patterns of individual sequence positions. Although correlated residues have primarily been used to predict contact sites, our data are in agreement with previous observations that (3) many such correlations do not relate to physical contacts between amino acid residues. Access to our analysis results are provided at http://webclu.bio.wzw.tum.de/~pagel/supplements/correlated-positions/

The Contribution of Coevolving Residues to the Stability of KDO8P Synthase

The evolutionary tree of 3-deoxy-D-manno-octulosonate 8-phosphate (KDO8P) synthase (KDO8PS), a bacterial enzyme that catalyzes a key step in the biosynthesis of bacterial endotoxin, is evenly divided between metal and non-metal forms, both having similar structures, but diverging in various degrees in amino acid sequence. Mutagenesis, crystallographic and computational studies have established that only a few residues determine whether or not KDO8PS requires a metal for function. The remaining divergence in the amino acid sequence of KDO8PSs is apparently unrelated to the underlying catalytic mechanism.The multiple alignment of all known KDO8PS sequences reveals that several residue pairs coevolved, an indication of their possible linkage to a structural constraint. In this study we investigated by computational means the contribution of coevolving residues to the stability of KDO8PS. We found that about 1/4 of all strongly coevolving pairs probably originated from cycles of mutation (decreasing stability) and suppression (restoring it), while the remaining pairs are best explained by a succession of neutral or nearly neutral covarions.Both sequence conservation and coevolution are involved in the preservation of the core structure of KDO8PS, but the contribution of coevolving residues is, in proportion, smaller. This is because small stability gains or losses associated with selection of certain residues in some regions of the stability landscape of KDO8PS are easily offset by a large number of possible changes in other regions. While this effect increases the tolerance of KDO8PS to deleterious mutations, it also decreases the probability that specific pairs of residues could have a strong contribution to the thermodynamic stability of the protein

Objectives for Stakeholder Engagement in Global Environmental Assessments

Global environmental assessments (GEAs) are among the most large-scale, formalized processes for synthesizing knowledge at the science–policy–society interface. The successful engagement of diverse stakeholders in GEAs is often described as a crucial mechanism for increasing their legitimacy, salience and credibility. However, the diversity of perspectives on the more precise objectives for stakeholder engagement remains largely unclear. The aims of this study are to categorize and characterize the diversity of perspectives on objectives for stakeholder engagement in GEAs; to explore differences in perspectives within and between different stakeholder groups and categories; and to test whether the more practical prioritization and selection of objectives in GEAs can be linked to deliberative policy learning as a higher-level rationale for stakeholder engagement. For these purposes, we conduct a grounded theory analysis and a keyword analysis of interview material and official GEA documents relating to two GEAs: UN Environment’s Fifth Global Environment Outlook and the Working Group III contribution to the Intergovernmental Panel on Climate Change Fifth Assessment Report. Based on the analysis, we identify six categories of objectives and present as hypotheses promising ways forward for prioritizing and characterizing objectives for stakeholder engagement in GEAs, as well as potential reasons for the differences between perspectives on objectives. This study draws attention to the need for future GEA processes to have more explicit discussions on the objectives for stakeholder engagement, as well as the importance of moving towards increasingly deliberative and inclusive assessment processes more broadly

miTALOS: Analyzing the tissue-specific regulation of signaling pathways by human and mouse microRNAs

MicroRNAs (miRNAs) are an important class of post-transcriptional regulators of gene expression that are involved in various cellular and phenotypic processes. A number of studies have shown that miRNA expression is induced by signaling pathways. Moreover, miRNAs emerge as regulators of signaling pathways. Here, we present the miTALOS web resource, which provides insight into miRNA-mediated regulation of signaling pathways. As a novel feature, miTALOS considers the tissue-specific expression signatures of miRNAs and target transcripts to improve the analysis of miRNA regulation in biological pathways. MiTALOS identifies potential pathway regulation by (i) an enrichment analysis of miRNA targets genes and (ii) by using a proximity score to evaluate the functional role of miRNAs in biological pathways by their network proximity. Moreover, miTALOS integrates five different miRNA target prediction tools and two different signaling pathway resources (KEGG and NCI). A graphical visualization of miRNA targets in both KEGG and NCI PID signaling pathways is provided to illustrate their respective pathway context. We perform a functional analysis on prostate cancer-related miRNAs and are able to infer a model of miRNA-mediated regulation on tumor proliferation, mobility and anti-apoptotic behavior. miTALOS provides novel features that accomplish a substantial support to systematically infer regulation of signaling pathways mediated by miRNAs. The web-server is freely accessible at http://hmgu.de/cmb/mitalos