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- Hudson, Lawrence N., et al.
(författare)
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The PREDICTS database : a global database of how local terrestrial biodiversity responds to human impacts
- 2014
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Ingår i: Ecology and Evolution. - : Wiley. - 2045-7758. ; 4:24, s. 4701-4735
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Tidskriftsartikel (refereegranskat)abstract
- Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species' threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project - and avert - future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1% of the total number of all species described, and more than 1% of the described species within many taxonomic groups - including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems - ). We make site-level summary data available alongside this article. The full database will be publicly available in 2015.
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- Davies, Neil, et al.
(författare)
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The founding charter of the Genomic Observatories Network
- 2014
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Ingår i: GigaScience. - 2047-217X. ; 3:2
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Tidskriftsartikel (refereegranskat)abstract
- Abstract The co-authors of this paper hereby state their intention to work together to launch the Genomic Observatories Network (GOs Network) for which this document will serve as its Founding Charter. We define a Genomic Observatory as an ecosystem and/or site subject to long-term scientific research, including (but not limited to) the sustained study of genomic biodiversity from single-celled microbes to multicellular organisms.An international group of 64 scientists first published the call for a global network of Genomic Observatories in January 2012. The vision for such a network was expanded in a subsequent paper and developed over a series of meetings in Bremen (Germany), Shenzhen (China), Moorea (French Polynesia), Oxford (UK), Pacific Grove (California, USA), Washington (DC, USA), and London (UK). While this community-building process continues, here we express our mutual intent to establish the GOs Network formally, and to describe our shared vision for its future. The views expressed here are ours alone as individual scientists, and do not necessarily represent those of the institutions with which we are affiliated.
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- Roelofs, Jeffrey, et al.
(författare)
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Norming of the Tampa Scale for Kinesiophobia across pain diagnoses and various countries
- 2011
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Ingår i: Pain. - : Elsevier. - 0304-3959 .- 1872-6623. ; 152:5, s. 1090-1095
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Tidskriftsartikel (refereegranskat)abstract
- The present study aimed to develop norms for the Tampa Scale for Kinesiophobia (TSK), a frequently used measure of fear of movement/(re) injury. Norms were assessed for the TSK total score as well as for scores on the previously proposed TSK activity avoidance and TSK somatic focus scales. Data from Dutch, Canadian, and Swedish pain samples were used (N = 3082). Norms were established using multiple regression to obtain more valid and reliable norms than can be obtained by subgroup analyses based on age or gender. In the Dutch samples (N = 2236), pain diagnosis was predictive of all TSK scales. More specifically, chronic low back pain displayed the highest scores on the TSK scores followed by upper extremity disorder, fibromyalgia, and osteoarthritis. Gender was predictive of TSK somatic focus scores and age of TSK activity avoidance scores, with male patients having somewhat higher scores than female patients and older patients having higher scores compared with younger patients. In the Canadian (N = 510) and Swedish (N = 336) samples, gender was predictive of all TSK scales, with male patients having somewhat higher scores than female patients. These norm data may assist the clinician and researcher in the process of decision making and treatment evaluation.
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