Climate change and human activities: a case study in Xinjiang, China

We examined both long-term climate variability and anthropogenic contributions to current climate change for Xinjiang province of northwest China. Xinjiang encompasses several mountain ranges and inter-mountain basins and is comprised of a northern semiarid region and a more arid southern region. Climate over the last three centuries was reconstructed from tree rings and temperature series were calculated for the past 50 years using weather station data. Three major conclusions from these analyses are: (1) Although temperature varied considerably in Xinjiang over the last 200 years, it was non-directional until the last 50 years when a substantial warming trend occurred; (2) The semiarid North Xinjiang was representative of the northern hemisphere climate, while the more arid South Xinjiang resembled the southern hemisphere climate, meanwhile, (3) The entire Xinjiang province captured the global-scale climate signal. We also compared human contributions to global change between North and South Xinjiang, including land cover/land use, population, and greenhouse gas production. For both regions, urban areas acted as heat islands; and large areas of grassland and forest were converted to barren land, especially in North Xinjiang. Additionally, North Xinjiang also showed larger increase in population and greenhouse gas emissions mainly associated with animal production than those in South Xinjiang. Although Xinjiang province is a geographically coupled mountain–basin system, the two regions have distinct climate patterns and anthropogenic activities related to land cover conversion and greenhouse gas production.     

Social capital,individual responses to heat waves and climate change adaptation: An empirical study of two UK cities

It has been claimed that high social capital contributes to both positive public health outcomes and to climate change adaptation. Strong social networks have been said to support individuals and collective initiatives of adaptation and enhance resilience. As a result, there is an expectation that social capital could reduce vulnerability to risks from the impacts of climate change in the health sector. This paper examines evidence on the role social networks play in individuals’ responses to heat wave risk in a case study in the UK. Based on interviews with independently living elderly people and their primary social contacts in London and Norwich, we suggest that strong bonding networks could potentially exacerbate rather than reduce the vulnerability of elderly people to the effects of heat waves. Most respondents interviewed did not feel that heat waves posed a significant risk to them personally, and most said that they would be able to cope with hot weather. Bonding networks could perpetuate rather than challenge these narratives and therefore contribute to vulnerability rather than ameliorating it. These results suggest a complex rather than uniformly positive relationship between social capital, health and adaptation to climate change.     

Analysis of the surface temperature and wind forecast errors of the NCAR-AirDat operational CONUS 4-km WRF forecasting system

Investigating the characteristics of model-forecast errors using various statistical and object-oriented methods is necessary for providing useful guidance to end-users and model developers as well. To this end, the random and systematic errors (i.e., biases) of the 2-m temperature and 10-m wind predictions of the NCAR-AirDat weather research and forecasting (WRF)-based real-time four-dimensional data assimilation (RTFDDA) and forecasting system are analyzed. This system has been running operationally over a contiguous United States (CONUS) domain at a 4-km grid spacing with four forecast cycles daily from June 2009 to September 2010. In the result an exceptionally useful forecast dataset was generated and used for studying the error properties of the model forecasts, in terms of both a longer time period and a broader coverage of geographic regions than previously studied. Spatiotemporal characteristics of the errors are investigated based on the 24-h forecasts between June 2009 and April 2010, and the 72-h forecasts between May and September 2010. It was found that the biases of both wind and temperature forecasts vary greatly seasonally and diurnally, with dependency on the forecast length, station elevation, geographical location, and meteorological conditions. The temperature showed systematic cold biases during the daytime at all station elevations and warm biases during the nighttime above 1,000 m above sea level (ASL), while below 600 m ASL cold biases occurred during the nighttime. The forecasts of surface wind speed exhibited strong positive biases during the nighttime, while the negative biases were observed in the spring and summer afternoons. The surface wind speed was mostly over-predicted except for the stations located between 1,000 and 2,100 m ASL, for which negative biases were identified for most forecast cycles. The highest wind-speed errors were found over the high terrain and near sea-level stations. The wind-direction errors were relatively large at the high-terrain elevation in the Rocky and Appalachian mountain ranges and the western coastal areas and the error structure exhibited notable diurnal variability.     

The uranium content of sediments from the Jordan Gulf of Aqaba

The uranium content of nearshore sediments in the Jordan Gulf of Aqaba has been determined. The concentrations are shown to vary according to sediment type or habitat in unpolluted areas, while in a polluted area the concentration is related to phosphate dust pollution.     

Linking local ecological outcomes with basin-wide water planning: a case study of Yanga National Park,an important Australian inland forested wetland

Abstract

Maintaining and restoring the ecological integrity of floodplains remains a priority for many Australian federal and state government agencies. The Murray-Darling Basin Authority (MDBA) introduced the Proposed Basin Plan 2012, the Australian government’s latest basin-scale water planning instrument to promote a healthy, working river system. The proposal seeks to limit surface water (consumptive) use to 10 873 GL year^-1 on a long-term average. The controversy prompted by this proposed reduction has underscored a need for rigorous and transparent modelling of ecological benefits. In this paper, we investigate the likely ecological outcomes of the proposal for Yanga National Park, one of the most significant environmental assets in the Murray-Darling Basin, using a decision support system. Our results indicate that the proposal will increase the inundation extent with a 33% (or 7000 ha) increase in median flood. The increase in inundation would improve the hydrological conditions in most wetlands in terms of the frequency and duration of events and inter-flood dry periods and enhance the habitat quality for a range of biota, though benefits are not distributed evenly across the wetland.

Editor D. Koutsoyiannis; Guest editor M. Acreman

Citation Wen, L. and Saintilan, N., 2014. Linking local ecological outcomes with basin-wide water planning: a case study of Yanga National Park, an important Australian inland forested wetland. Hydrological Sciences Journal, 59 (3–4), 904–915.     

Interplanetary MIST

The London MIST meeting in November covered current research using satellites to investigate planetary environments across the solar system, including our own. Earth-bound instruments, GPS and modelling also came under discussion, as did a series of results from the Cluster mission. Neil Arnold reports.