Response of Soil Respiration to Soil Temperature and Moisture in a 50-Year-Old Oriental Arborvitae Plantation in China

China possesses large areas of plantation forests which take up great quantities of carbon. However, studies on soil respiration in these plantation forests are rather scarce and their soil carbon flux remains an uncertainty. In this study, we used an automatic chamber system to measure soil surface flux of a 50-year-old mature plantation of Platycladus orientalis at Jiufeng Mountain, Beijing, China. Mean daily soil respiration rates (Rs) ranged from 0.09 to 4.87 µmol CO2 m−2s−1, with the highest values observed in August and the lowest in the winter months. A logistic model gave the best fit to the relationship between hourly Rs and soil temperature (Ts), explaining 82% of the variation in Rs over the annual cycle. The annual total of soil respiration estimated from the logistic model was 645±5 g C m−2 year−1. The performance of the logistic model was poorest during periods of high soil temperature or low soil volumetric water content (VWC), which limits the model's ability to predict the seasonal dynamics of Rs. The logistic model will potentially overestimate Rs at high Ts and low VWC. Seasonally, Rs increased significantly and linearly with increasing VWC in May and July, in which VWC was low. In the months from August to November, inclusive, in which VWC was not limiting, Rs showed a positively exponential relationship with Ts. The seasonal sensitivity of soil respiration to Ts (Q10) ranged from 0.76 in May to 4.38 in October. It was suggested that soil temperature was the main determinant of soil respiration when soil water was not limiting

Vaccination to improve the persistence of CD19CAR gene-modified T cells in relapsed pediatric acute lymphoblastic leukemia

Trials with 2nd generation CD19 chimeric antigen receptors (CAR) T-cells report unprecedented responses but associated with risk of Cytokine Release Syndrome (CRS). Instead, we studied use of donor Epstein Barr virus-specific T-cells (EBV CTL) transduced with a 1st generation CD19CAR, relying on the endogenous T-cell receptor for proliferation. We conducted a multi- center phase I/II study of donor CD19CAR transduced EBV CTL in pediatric ALL. Patients were eligible pre-emptively if they developed molecular relapse (>5 × 10-4) post-1st SCT, or prophylactically post-2nd SCT. An initial cohort showed poor expansion/persistence. We next investigated EBV-directed vaccination to enhance expansion/persistence. 11 patients were treated. No CRS, neurotoxicity or GVHD was observed. At 1 month, 5 patients were in CR (4 continuing, 1 de-novo), 1 PR, 3 had stable disease and 3 no response. At a median follow-up of 12 months, 10 of 11 have relapsed, 2 are alive with disease and 1 alive in CR 3 years. Whilst CD19CAR CTL expansion was poor, persistence was enhanced by vaccination. Median persistence was 0 (range 0-28) days without vaccination compared to 56 (range 0-221) days with vaccination (P=0.06). This study demonstrates feasibility of such multi-center studies and the potential for enhancing persistence with vaccination.Leukemia accepted article preview online, 27 January 2017. doi:10.1038/leu.2017.39

The Paradox of Engagement: Land Stewardship and Invasive Weeds in Amenity Landscapes

In New South Wales, Australia, rural landscapes are undergoing profound change as a result of exurbanization. Newcomers-amenity migrants-are drawn to the scenic beaches, forests, and open landscape character of this part of Australia near Sydney and they join existing communities of long-term residents, notably ranchers involved in dairy, beef, and other types of primary agricultural production. The rural to exurban transition is stimulating both intended and unintended socio-ecological changes, especially the proliferation of invasive weeds, which are considered to be a top national priority as they threaten Australia\u27s agricultural economy. Drawing on interview and survey research from three case studies in New South Wales, locations where an influx of exurbanites has led to mixed landscapes of production and consumption, we explore landowners\u27 diverse environmental ideologies, the degree to which they collaborate with one another, and their specific land-use practices. Results show that an overwhelming majority of both exurbanites and ranchers express concerns about weeds, but there is a marked lack of coordinated engagement on invasive species between the two types of groups. This chapter is an example of social disengagement over land-use and land-cover change, rather than competition or cooperation, and contributes to a political ecological understanding of the co-construction of social relations and land management regimes

Runoff variations in Lake Balkhash Basin, Central Asia, 1779-2015, inferred from tree rings

Long highly-resolved proxies for runoff are in high demand for hydrological forecasts and water management in arid Central Asia. An accurate (R2 = 0.53) reconstruction of October-September discharge of the Ili River in Kazakhstan, 1779–2015, is developed from moisture-sensitive tree rings of spruce sampled in the Tian Shan Mountains. The fivefold extension of the gauged discharge record represents the variability of runoff in the Lake Balkhash Basin for the last 235 years. The reconstruction shows a 40 year long interval of low discharge preceded a recent high peak in the first decade of the 2000s followed by a decline to more recent levels of discharge not seen since the start of the gauged record. Most reconstructed flow extremes (± 2σ) occur outside the instrumental record (1936–2015) and predate the start of large dam construction (1969). Decadal variability of the Ili discharge corresponds well with hydrological records of other Eurasian internal drainages modeled with tree rings. Spectral analysis identifies variance peaks (highest near 42 year) consistent with main hemispheric oscillations of the Eurasian climatic system. Seasonal comparison of the Ili discharge with sea-level-pressure and geopotential height data suggests periods of high flow likely result from the increased contribution of snow to runoff associated with the interaction of Arctic air circulation with the Siberian High-Pressure System and North Atlantic Oscillation

Elevation-dependent influence of snow accumulation on forest greening

Rising temperatures and declining water availability have influenced the ecological function of mountain forests over the past half-century. For instance, warming in spring and summer and shifts towards earlier snowmelt are associated with an increase in wildfire activity and tree mortality in mountain forests in the western United States. Temperature increases are expected to continue during the twenty-first century in mountain ecosystems across the globe, with uncertain consequences. Here, we examine the influence of interannual variations in snowpack accumulation on forest greenness in the Sierra Nevada Mountains, California, between 1982 and 2006. Using observational records of snow accumulation and satellite data on vegetation greenness we show that vegetation greenness increases with snow accumulation. Indeed, we show that variations in maximum snow accumulation explain over 50% of the interannual variability in peak forest greenness across the Sierra Nevada region. The extent to which snow accumulation can explain variations in greenness varies with elevation, reaching a maximum in the water-limited mid-elevations, between 2,000 and 2,600a €‰m. Ina situ measurements of carbon uptake and snow accumulation along an elevational transect in the region confirm the elevation dependence of this relationship. We suggest that mid-elevation mountain forest ecosystems could prove particularly sensitive to future increases in temperature and concurrent changes in snow accumulation and melt

Measurement of Soil Respiration

peer reviewe

Comparing and evaluating process-based ecosystem model predictions of carbon and water fluxes in major European forest biomes

International audienceProcess-based models can be classified into: (a) terrestrial biogeochemical models (TBMs), which simulate fluxes of carbon, water and nitrogen coupled within terrestrial ecosystems, and (b) dynamic global vegetation models (DGVMs), which further couple these processes interactively with changes in slow ecosystem processes depending on resource competition, establishment, growth and mortality of different vegetation types. In this study, four models - RHESSys, GOTILWA+, LPJ-GUESS and ORCHIDEE - representing both modelling approaches were compared and evaluated against benchmarks provided by eddy-covariance measurements of carbon and water fluxes at 15 forest sites within the EUROFLUX project. Overall, model-measurement agreement varied greatly among sites. Both modelling approaches have somewhat different strengths, but there was no model among those tested that universally performed well on the two variables evaluated. Small biases and errors suggest that ORCHIDEE and GOTILWA+ performed better in simulating carbon fluxes while LPJ-GUESS and RHESSys did a better job in simulating water fluxes. In general, the models can be considered as useful tools for studies of climate change impacts on carbon and water cycling in forests. However, the various sources of variation among models simulations and between models simulations and observed data described in this study place some constraints on the results and to some extent reduce their reliability. For example, at most sites in the Mediterranean region all models generally performed poorly most likely because of problems in the representation of water stress effects on both carbon uptake by photosynthesis and carbon release by heterotrophic respiration (R-h). The use of flux data as a means of assessing key processes in models of this type is an important approach to improving model performance. Our results show that the models have value but that further model development is necessary with regard to the representation of the some of the key ecosystem processes