Prediction of plant species occurrence as affected by nitrogen deposition and climate change on a European scale

Plant species occurrence in Europe is affected by changes in nitrogen deposition and climate. Insight into potential future effects of those changes can be derived by a model approach based on field-based empirical evidence on a continental scale. In this paper, we present a newly developed empirical model PROPS, predicting the occurrence probabilities of plant species in response to a combination of climatic factors, nitrogen deposition and soil properties. Parameters included were temperature, precipitation, nitrogen deposition, soil pH and soil C/N ratio. The PROPS model was fitted to plant species occurrence data of about 800,000 European relevés with estimated values for pH and soil C/N ratio and interpolated climate and modelled N deposition data obtained from the Ensemble meteo data set and EMEP model results, respectively. The model was validated on an independent data set. The test of ten species against field data gave an average Pearson's r-value of 0.79. PROPS was applied to a grassland and a heathland site to evaluate the effect of scenarios for nitrogen deposition and climate change on the Habitat Suitability Index (HSI), being the average of the relative probabilities, compared to the maximum probability, of all target species in a habitat. Results for the period 1930–2050 showed that an initial increase and later decrease in nitrogen deposition led to a pronounced decrease in HSI, and with dropping nitrogen deposition to an increase of the HSI. The effect of climate change appeared to be limited, resulting in a slight increase in HSI

Identification of mineralocorticoid receptor target genes in the mouse hippocampus

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What drives public acceptance of chemical industrial park policy and project in China?

Chemical industrial park (CIP) policy is becoming a vital national strategy of circular economy in China and a means to enhance energy and resource efficiency, environmental performance, and economic competitiveness. It also aims to avoid environmental risks of the decentralized chemical plants that have been a subject of public protests as local citizens’ fear for chemical pollution and human's health. Public acceptance is therefore a major factor determining the success of CIP policy and project. This paper aims to investigate what drives public acceptance and rejection of chemical industrial park policies and projects in China. Our focus is on citizens in three coastal cities located in high environmental and risk sensitive areas: Dalian at Liaoning Province, Maoming at Guangdong Province, and Xiamen at Fujian Province. This is where several chemical industrial parks are (proposed) located. Based on surveys in these three representative cities, we have examined the nature and level of public acceptance towards chemical industrial park policies and projects. Results show that respondents were more positive towards the national policy, but more negative of CIP policy at the city and project level. Public acceptance of CIP policy and project was significantly influenced by factors including income, environmental value, perceived risks, procedural justice, distributive justice, benefits of CIP, and the residential distance to a CIP project. The identified factors provide a basis for anticipating and understanding likely public acceptance and should be considered in decision-making of CIP policy and project.</p

Individualized ovarian stimulation in IVF/ICSI treatment : it is time to stop using high FSH doses in predicted low responders

Peer reviewedPublisher PD

Interventions for unexplained infertility : a systematic review and network meta‐analysis

Acknowledgements We would like to thank Marian Showell from the Cochrane Gynaecology and Fertility Group for conducting the database searches.Peer reviewedPublisher PD

Correction to: Cognitive profiles discriminate between genetic variants of behavioral frontotemporal dementia

The original version of this article unfortunately contained a mistake. The presentation of Table 1 was incorrect. The original article has been corrected. The corrected Table 1 is given below. (Table presented.)

Correction to: Cognitive profiles discriminate between genetic variants of behavioral frontotemporal dementia

The original version of this article unfortunately contained a mistake. The presentation of Table 1 was incorrect. The original article has been corrected. The corrected Table 1 is given below. (Table presented.)