Developing Meaningful Student-Teacher-Scientist Partnerships

This article describes the Earth System Scientist Network, in which students and teachers participate in research projects with scientists. In these projects the scientists can take advantage of having an extended research team, and the students and teachers can contribute to a research project while developing skills in inquiry and expanding content knowledge in Earth system science. Several issues must be addressed in order to facilitate these partnerships: identifying the scientific research questions, the data that the students will analyze, the requirements for participating schools, and the tools and protocols that the students and teachers will use during their research. Other logistical issues must also be addressed, such as assuring that instruments and tools are available to the teachers and students, providing the background information and training they will need, providing additional research questions that can help spark students' interest, and recognizing students and teachers for their contributions. Educational levels: Graduate or professional

Maharashtra’s Child Stunting Declines: What is Driving Them? Findings of a Multidisciplinary Analysis

Between 2006 and 2012, Maharashtra’s stunting rate among children under two years of age was reported to decline by 15 percentage points – one of the fastest declines in stunting seen anywhere at any time. This was seemingly more remarkable because it occurred within a context where Indian stunting levels nationally are regularly characterised as stuck or static. Maharashtra, the second largest state in India with a population of over 100 million people, appears to represent a major departure from the norm. This report aims to understand the driving factors behind this rapid decline. The report draws on three source papers written by the authors, which are summarised in this overview paper: one drawing on secondary data (section 2 – Haddad 2014), one drawing on primary survey data (section 3 – Haddad and Valli 2014) and one drawing on primary qualitative data (section 4 – Barnett and Nisbett 2014).1 As will become clear, the three papers, using different methods and written by different combinations of the three principal authors, arrive at very similar conclusions, giving us greater confidence in their validity. This overview first surveys the literature to describe the broad economic, political and social changes occurring within the state in the 2000–2012 period. In what kind of environment did these declines in stunting occur? Second, the paper analyses two child-level surveys undertaken in 2006 and 2012 to describe the distribution of stunting declines, identify factors correlated with the higher stunting (and wasting) rates in both years and to assess whether the relationship between stunting, wasting and its correlates has profoundly changed. Third, we conducted interviews and focus group discussions with key stakeholders in academia, civil society, government, international partner organisations, media and the private sector to identify the perceived critical factors for the decline in stunting. The final section of the paper concludes with a series of messages that we believe are important for nutrition policymaking in India and globally

What are the Factors Enabling and Constraining Effective Leaders in Nutrition? A Four Country Study

Leadership has been identified as a key factor in supporting action on nutrition in countries experiencing a high burden of childhood undernutrition. This study of individuals identified as influential within nutrition in Bangladesh, Ethiopia, Kenya and India examines why particular individuals champion nutrition policy, and how they operate in the wider policy and political environments of their countries. Based on analysis of 89 interviews, we consider how individual (adult development) capacities, knowledge and motivations, and wider political economy considerations structure the ability of these leaders to think and act. We argue that only by locating individuals within this wider political economy can we begin to appreciate the range of strategies and avenues for influence (or constraints to that influence) that individual leaders employ and face. We review the literature in this area and suggest a number of ways in which we may support, nurture and develop nutrition leadership in future

Does Tropical Forest Fragmentation Increase Long-Term Variability of Butterfly Communities?

Habitat fragmentation is a major driver of biodiversity loss. Yet, the overall effects of fragmentation on biodiversity may be obscured by differences in responses among species. These opposing responses to fragmentation may be manifest in higher variability in species richness and abundance (termed hyperdynamism), and in predictable changes in community composition. We tested whether forest fragmentation causes long-term hyperdynamism in butterfly communities, a taxon that naturally displays large variations in species richness and community composition. Using a dataset from an experimentally fragmented landscape in the central Amazon that spanned 11 years, we evaluated the effect of fragmentation on changes in species richness and community composition through time. Overall, adjusted species richness (adjusted for survey duration) did not differ between fragmented forest and intact forest. However, spatial and temporal variation of adjusted species richness was significantly higher in fragmented forests relative to intact forest. This variation was associated with changes in butterfly community composition, specifically lower proportions of understory shade species and higher proportions of edge species in fragmented forest. Analysis of rarefied species richness, estimated using indices of butterfly abundance, showed no differences between fragmented and intact forest plots in spatial or temporal variation. These results do not contradict the results from adjusted species richness, but rather suggest that higher variability in butterfly adjusted species richness may be explained by changes in butterfly abundance. Combined, these results indicate that butterfly communities in fragmented tropical forests are more variable than in intact forest, and that the natural variability of butterflies was not a buffer against the effects of fragmentation on community dynamics

Habitat fragmentation and its lasting impact on Earth’s ecosystems

We conducted an analysis of global forest cover to reveal that 70% of remaining forest is within 1 km of the forest’s edge, subject to the degrading effects of fragmentation. A synthesis of fragmentation experiments spanning multiple biomes and scales, five continents, and 35 years demonstrates that habitat fragmentation reduces biodiversity by 13 to 75% and impairs key ecosystem functions by decreasing biomass and altering nutrient cycles. Effects are greatest in the smallest and most isolated fragments, and they magnify with the passage of time. These findings indicate an urgent need for conservation and restoration measures to improve landscape connectivity, which will reduce extinction rates and help maintain ecosystem services

Ecosystem engineers maintain a rare species of butterfl y and increase plant diversity

We evaluated whether ecosystem engineers can accomplish two conservation goals simultaneously: (1) indirectly maintain populations of an endangered animal through habitat modifi cation and (2) increase riparian plant diversity. We tested for eff ects of a prominent ecosystem engineer, the beaver Castor canadensis, on populations of St. Francis' satyr butterfl y Neonympha mitchellii francisci and plant species richness and composition. We performed our test by surveying riparian vegetation communities in all stages of beaver-infl uenced wetland succession. We found that beavers created wetland habitats that supported plant species not found elsewhere in riparian zones and increased plant species diversity across the landscape by creating a novel combination of patch types. Our results confi rmed what others have found about engineering eff ects on plant diversity, but these results further demonstrated a case where ecosystem engineers indirectly maintain populations of rare animals by modifying the composition and diversity of plant communities within wetlands. Our research demonstrates how an ecosystem engineer can infl uence habitat availability and composition of plant communities important for an endangered insect, and maintain overall plant species diversity by increasing habitat heterogeneity

Drosophila suzukii: the genetic footprint of a recent, world-wide invasion

Native to Asia, the soft-skinned fruit pest Drosophila suzukii has recently invaded the United States and Europe. The eastern United States represents the most recent expansion of their range, and presents an opportunity to test alternative models of colonization history. Here we investigate the genetic population structure of this invasive fruit fly, with a focus on the eastern United States. We sequenced six X-linked gene fragments from 246 individuals collected from a total of 12 populations. We examine patterns of genetic diversity within and between populations and explore alternative colonization scenarios using Approximate Bayesian Computation. Our results indicate high levels of nucleotide diversity in this species and suggest that the recent invasions of Europe and the continental United States are independent demographic events. More broadly speaking, our results highlight the importance of integrating population structure into demographic models, particularly when attempting to reconstruct invasion histories. Finally, our simulation results illustrate the general challenge of reconstructing invasion histories using genetic data and suggest that genome-level data are often required to distinguish among alternative demographic scenarios

How complex do models need to be to predict dispersal of threatened species through matrix habitats?

Persistence of species in fragmented landscapes depends on dispersal among suitable breeding sites, and dispersal is often influenced by the "matrix" habitats that lie between breeding sites. However, measuring effects of different matrix habitats on movement and incorporating those differences into spatially explicit models to predict dispersal is costly in terms of time and financial resources. Hence a key question for conservation managers is: Do more costly, complex movement models yield more accurate dispersal predictions? We compared the abilities of a range of movement models, from simple to complex, to predict the dispersal of an endangered butterfly, the Saint Francis' satyr (Neonympha mitchellii francisci). The value of more complex models differed depending on how value was assessed. Although the most complex model, based on detailed movement behaviors, best predicted observed dispersal rates, it was only slightly better than the simplest model, which was based solely on distance between sites. Consequently, a parsimony approach using information criteria favors the simplest model we examined. However, when we applied the models to a larger landscape that included proposed habitat restoration sites, in which the composition of the matrix was different than the matrix surrounding extant breeding sites, the simplest model failed to identify a potentially important dispersal barrier, open habitat that butterflies rarely enter, which may completely isolate some of the proposed restoration sites from other breeding sites. Finally, we found that, although the gain in predicting dispersal with increasing model complexity was small, so was the increase in financial cost. Furthermore, a greater fit continued to accrue with greater financial cost, and more complex models made substantially different predictions than simple models when applied to a novel landscape in which butterflies are to be reintroduced to bolster their populations. This suggests that more complex models might be justifiable on financial grounds. Our results caution against a pure parsimony approach to deciding how complex movement models need to be to accurately predict dispersal through the matrix, especially if the models are to be applied to novel or modified landscapes