Laying the Groundwork for Hypothesis Making in EAP Lecture Comprehension

Native speakers, when listening to lectures, sift through the information to choose what to listen to, make hypotheses about future discourse, synthesize preceding discourse, and add their own background knowledge. Nonnative speakers, too, need to be aware of their active role as listener. They also need to be aware of the fact that their foreign language and foreign culture background may lead them to make predictions and interpret information during an English lecture differently than native English speakers. This article will present relevant theories of discourse processing for native and non-native speakers of English and suggest exercises for non native speakers based on these theories geared towards awareness and improvement of hypothesis making during lectures

Nitrogen limitation of net primary productivity in terrestrial ecosystems is globally distributed.

Our meta-analysis of 126 nitrogen addition experiments evaluated nitrogen (N) limitation of net primary production (NPP) in terrestrial ecosystems. We tested the hypothesis that N limitation is widespread among biomes and influenced by geography and climate. We used the response ratio (R approximately equal ANPP(N)/ANPP(ctrl)) of aboveground plant growth in fertilized to control plots and found that most ecosystems are nitrogen limited with an average 29% growth response to nitrogen (i.e., R = 1.29). The response ratio was significant within temperate forests (R = 1.19), tropical forests (R = 1.60), temperate grasslands (R = 1.53), tropical grasslands (R = 1.26), wetlands (R = 1.16), and tundra (R = 1.35), but not deserts. Eight tropical forest studies had been conducted on very young volcanic soils in Hawaii, and this subgroup was strongly N limited (R = 2.13), which resulted in a negative correlation between forest R and latitude. The degree of N limitation in the remainder of the tropical forest studies (R = 1.20) was comparable to that of temperate forests, and when the young Hawaiian subgroup was excluded, forest R did not vary with latitude. Grassland response increased with latitude, but was independent of temperature and precipitation. These results suggest that the global N and C cycles interact strongly and that geography can mediate ecosystem response to N within certain biome types

A Syllabus for an Advanced ESL Lecture Comprehension and Note-taking Course

This thesis presents a semester-long syllabus with sample materials for a lecture comprehension and note-taking class for advanced ESL students in a university setting. The syllabus presupposes a high level of grammatical competence on the part of the students, taking for granted that it is not on the level of lexical or sentential comprehension that the student has difficulty. Rather, problems are assumed to stem from insufficient time of processing due to lack of familiarity with the language and the assumptions concerning lecture discourse in that language. Background information is cited regarding research in connected discourse processing, the effect of culture on that processing, lecture discourse analyses, and lecture comprehension and note-taking pedagogy and skill needs. A needs analysis concerning the listening comprehension, note-taking, and production requirements of university students is presented and discussed.This thesis presents a semester-long syllabus with sample materials for a lecture comprehension and note-taking class for advanced ESL students in a university setting. The syllabus presupposes a high level of grammatical competence on the part of the students, taking for granted that it is not on the level of lexical or sentential comprehension that the student has difficulty. Rather, problems are assumed to stem from insufficient time of processing due to lack of familiarity with the language and the assumptions concerning lecture discourse in that language. Background information is cited regarding research in connected discourse processing, the effect of culture on that processing, lecture discourse analyses, and lecture comprehension and note-taking pedagogy and skill needs. A needs analysis concerning the listening comprehension, note-taking, and production requirements of university students is presented and discussed

TERRA-REF Analysis Workbench: Container-based Environments for Low-Barrier Access to Research Data

TERRA-REF involves automated transfer and processing of large volumes of plant sensing data, in order to accelerate the study of genomic and phenomic observations in controlled field experiments. Multiple terabytes per day are moved and various workflows are triggered to derive metadata, traits and genome sequences from raw input formats. The TERRA-REF Analysis Workbench environment allows users to launch analysis environments with preconfigured and customizable software to examine and compute against this very large reference dataset

Modelling the carbon cycle of Miscanthus plantations: existing models and the potential for their improvement

The lignocellulosic perennial grass Miscanthus has received considerable attention as a potential bioenergy crop over the last 25 years, but few commercial plantations exist globally. This is partly due to the uncertainty associated with claims that land use change (LUC) to Miscanthus will result in both commercially viable yields and net increases in carbon (C) storage. To simulate what the effects may be after LUC to Miscanthus, six process-based models have been parameterised for Miscanthus and here we review how these models operate. This review provides an overview of the key Miscanthus soil organic matter models and then highlights what measurers can do to accelerate model development. Each model (WIMOVAC, BioCro, Agro-IBIS, DAYCENT, DNDC and ECOSSE) is capable of simulating biomass production and soil C dynamics based on specific site characteristics. Understanding the design of these models is important in model selection as well as being important for field researchers to collect the most relevant data to improve model performance. The rapid increase in models parameterised for Miscanthus is promising but refinements and improvements are still required to ensure model predictions are reliable and can be applied to spatial scales relevant for policy. Specific improvements, needed to ensure the models are applicable for a range of environmental conditions, come under two categories: 1) increased data generation and 2) development of frameworks and databases to allow simulations of ranging scales. Research into non-food bioenergy crops such as Miscanthus is relatively recent and this review highlights that there are still a number of knowledge gaps regarding Miscanthus specifically. For example, the low input requirements of Miscanthus make it particularly attractive as a bioenergy crop but it is essential that we increase our understanding of the crop’s nutrient re-mobilisation and ability to host N-fixing organisms in order to derive the most accurate simulations

Weaker land–climate feedbacks from nutrient uptake during photosynthesis-inactive periods

Terrestrial carbon–climate feedbacks depend on two large and opposing fluxes—soil organic matter decomposition and photosynthesis—that are tightly regulated by nutrients . Earth system models (ESMs) participating in the Coupled Model Intercomparison Project Phase 5 represented nutrient dynamics poorly , rendering predictions of twenty-first century carbon–climate feedbacks highly uncertain. Here, we use a new land model to quantify the effects of observed plant nutrient uptake mechanisms missing in most other ESMs. In particular, we estimate the global role of root nutrient competition with microbes and abiotic processes during periods without photosynthesis. Nitrogen and phosphorus uptake during these periods account for 45 and 43%, respectively, of annual uptake, with large latitudinal variation. Globally, night-time nutrient uptake dominates this signal. Simulations show that ignoring this plant uptake, as is done when applying an instantaneous relative demand approach, leads to large positive biases in annual nitrogen leaching (96%) and N O emissions (44%). This N O emission bias has a GWP equivalent of ~2.4 PgCO yr , which is substantial compared to the current terrestrial CO sink. Such large biases will lead to predictions of overly open terrestrial nutrient cycles and lower carbon sequestration capacity. Both factors imply over-prediction of positive terrestrial feedbacks with climate in current ESMs. 1,2 1,3 −1 2 2 2

Translating Probability Density Functions: From R to BUGS and Back Again

The ability to implement statistical models in the BUGS language facilitates Bayesian inference by automating MCMC algorithms. Software packages that interpret the BUGS language include OpenBUGS, WinBUGS, and JAGS. R packages that link BUGS software to the R environment, including rjags and R2WinBUGS, are widely used in Bayesian analysis. Indeed, many packages in the Bayesian task view on CRAN (http://cran.r-project.org/web/views/Bayesian.html) depend on this integration. However, the R and BUGS languages use different representations of common probability density functions, creating a potential for errors to occur in the implementation or interpretation of analyses that use both languages. Here we review different parameterizations used by the R and BUGS languages, describe how to translate between the languages, and provide an R function, r2bugs.distributions, that transforms parameterizations from R to BUGS and back again

Increasing racial diversity in the North American Plant Phenotyping Network through conference participation support

A key goal of the North American Plant Phenotyping Network (NAPPN) annual conference is to cultivate a new generation of scientists from diverse backgrounds. As part of their effort to diversify the plant phenomics research community, NAPPN acquired funding to cover all attendance costs for participants from historically black colleges and universities (HBCU) for the 2022 annual meeting. Seven award recipients represented the first attendees from HBCUs in the conference’s 6-year history. In this commentary, we report on the impact of the conference awards, including lessons learned, and the future of the award

Increasing racial diversity in the North American Plant Phenotyping Network through conference participation support

A key goal of the North American Plant Phenotyping Network (NAPPN) annual conference is to cultivate a new generation of scientists from diverse backgrounds. As part of their effort to diversify the plant phenomics research community, NAPPN acquired funding to cover all attendance costs for participants from historically black colleges and universities (HBCU) for the 2022 annual meeting. Seven award recipients represented the first attendees from HBCUs in the conference\u27s 6-year history. In this commentary, we report on the impact of the conference awards, including lessons learned, and the future of the award

Molecular mechanisms of water table lowering and nitrogen deposition in affecting greenhouse gas emissions from a Tibetan alpine wetland.

Rapid climate change and intensified human activities have resulted in water table lowering (WTL) and enhanced nitrogen (N) deposition in Tibetan alpine wetlands. These changes may alter the magnitude and direction of greenhouse gas (GHG) emissions, affecting the climate impact of these fragile ecosystems. We conducted a mesocosm experiment combined with a metagenomics approach (GeoChip 5.0) to elucidate the effects of WTL (-20 cm relative to control) and N deposition (30 kg N ha-1  yr-1 ) on carbon dioxide (CO2 ), methane (CH4 ) and nitrous oxide (N2 O) fluxes as well as the underlying mechanisms. Our results showed that WTL reduced CH4 emissions by 57.4% averaged over three growing seasons compared with no-WTL plots, but had no significant effect on net CO2 uptake or N2 O flux. N deposition increased net CO2 uptake by 25.2% in comparison with no-N deposition plots and turned the mesocosms from N2 O sinks to N2 O sources, but had little influence on CH4 emissions. The interactions between WTL and N deposition were not detected in all GHG emissions. As a result, WTL and N deposition both reduced the global warming potential (GWP) of growing season GHG budgets on a 100-year time horizon, but via different mechanisms. WTL reduced GWP from 337.3 to -480.1 g CO2 -eq m-2 mostly because of decreased CH4 emissions, while N deposition reduced GWP from 21.0 to -163.8 g CO2 -eq m-2 , mainly owing to increased net CO2 uptake. GeoChip analysis revealed that decreased CH4 production potential, rather than increased CH4 oxidation potential, may lead to the reduction in net CH4 emissions, and decreased nitrification potential and increased denitrification potential affected N2 O fluxes under WTL conditions. Our study highlights the importance of microbial mechanisms in regulating ecosystem-scale GHG responses to environmental changes