Reevaluating Europe's other debt with improved statistical tools

Verfasser / Beitragende:
[Frédéric Gosselin]
Ort, Verlag, Jahr:
2015
Enthalten in:
Biodiversity and Conservation, 24/1(2015-01-01), 205-211
Format:
Artikel (online)
ID: 605526303
LEADER caa a22 4500
001 605526303
003 CHVBK
005 20210128100802.0
007 cr unu---uuuuu
008 210128e20150101xx s 000 0 eng
024 7 0 |a 10.1007/s10531-014-0799-y  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s10531-014-0799-y 
100 1 |a Gosselin  |D Frédéric  |u Irstea, UR EFNO, 45290, Nogent-sur-Vernisson, France  |4 aut 
245 1 0 |a Reevaluating Europe's other debt with improved statistical tools  |h [Elektronische Daten]  |c [Frédéric Gosselin] 
520 3 |a Dullinger et al. (Proc Nat Acad Sci USA 110:7342-7347, 2013) showed that current proportions of threatened species in European countries are more correlated to socio-economic pressures calculated a century ago than to current socio-economic pressures. These results could have important impacts on future political decisions, yet the statistical analyses used may be strongly impacted by pseudo-replication and over-dispersion of data. I reanalysed Dullinger et al.'s data using generalised linear mixed models accounting for pseudo-replication and over-dispersion. These new statistical models indicated that socio-economic pressures had a much less clear impact on proportions of threatened species than indicated by Dullinger et al. In many cases, the effects of socio-economic pressures even vanished. Dullinger et al. (Proc Nat Acad Sci USA 110:7342-7347, 2013)'s results are actually much less "considerable” than their paper implies and therefore should be viewed with caution. Ecologists should more often incorporate pseudo-replication and overdispersion in their statistical analyses. 
540 |a Springer Science+Business Media Dordrecht, 2014 
690 7 |a Pseudo-replication  |2 nationallicence 
690 7 |a Overdispersion  |2 nationallicence 
690 7 |a Binomial distribution  |2 nationallicence 
690 7 |a Statistical model  |2 nationallicence 
690 7 |a Generalized linear mixed models  |2 nationallicence 
690 7 |a Biodiversity  |2 nationallicence 
690 7 |a Indicator  |2 nationallicence 
690 7 |a Threatened species  |2 nationallicence 
690 7 |a Socio-economic pressures  |2 nationallicence 
773 0 |t Biodiversity and Conservation  |d Springer Netherlands  |g 24/1(2015-01-01), 205-211  |x 0960-3115  |q 24:1<205  |1 2015  |2 24  |o 10531 
856 4 0 |u https://doi.org/10.1007/s10531-014-0799-y  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s10531-014-0799-y  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 100  |E 1-  |a Gosselin  |D Frédéric  |u Irstea, UR EFNO, 45290, Nogent-sur-Vernisson, France  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Biodiversity and Conservation  |d Springer Netherlands  |g 24/1(2015-01-01), 205-211  |x 0960-3115  |q 24:1<205  |1 2015  |2 24  |o 10531