| 1. |
|
|
| 2. |
|
|
| 3. |
- Hudson, Lawrence N., et al.
(författare)
-
The PREDICTS database : a global database of how local terrestrial biodiversity responds to human impacts
- 2014
-
Ingår i: Ecology and Evolution. - : Wiley. - 2045-7758. ; 4:24, s. 4701-4735
-
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.
|
|
| 4. |
|
|
| 5. |
- Braam, Arjan W, et al.
(författare)
-
Depression and parkinsonism in older Europeans: results from the EURODEP concerted action.
- 2010
-
Ingår i: International journal of geriatric psychiatry. - : Wiley. - 1099-1166 .- 0885-6230. ; 25:7, s. 679-87
-
Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVE: The prevalence rate of depression among patients with Parkinson's disease (PD) has been estimated at 25%, although prevalence figures range between 7-76%. Relatively few studies on PD and depression are based on random samples in the general population. Some depressive symptoms can also be understood as symptoms of parkinsonism, and the current study aims to describe which 'overlap' symptoms can be identified in a community sample. METHODS: Data are employed from the EURODEP collaboration. Nine study centres, from eight western European countries, provided data on depression (most GMS-AGECAT), depressive symptoms (EURO-D items and anxiety), parkinsonism (self-report of PD or clinical signs of PD), functional disability and dementia diagnosis. RESULTS: Data were complete for 16 313 respondents, aged 65 and older; 306 (1.9%) reported or had signs of parkinsonism. The rate of depression was about twice as high among respondents with parkinsonism (unadjusted Odds Ratio 2.44, 95% Confidence Interval 1.88-3.17), also among those without functional disability. 'Overlap' symptoms between parkinsonism and depression, were represented by motivation and concentration problems, appetite problems and especially the symptom of fatigue (energy loss). However, principal component analysis showed that these 'overlap' symptoms loaded on different factors of the EURO-D scale. CONCLUSIONS: As among clinical patients with PD, depression is highly common in community dwelling older people with parkinsonism, even among those without functional disability. Although fatigue did not strongly relate to motivational symptoms, both types of 'overlap' symptoms possibly trigger a final common pathway towards a full depressive syndrome. Copyright (c) 2009 John Wiley & Sons, Ltd.
|
|
