Control of Pteridium aquilinum: meta-analysis of a multi-site study in the UK.
OBJECTIVE
A great deal of money is spent controlling invasive weeds as part of international and national policies. It is essential that the funded treatments work across the region in which the policies operate. We argue that experiments across multiple sites are required to validate these programs as results from single sites may be misleading. Here, the control of Pteridium aquilinum (bracken) is used as a test example to address the following four questions. (1) Does the effectiveness of P. aquilinum-control treatments vary across sites? (2) Is the best treatment identified in previous research (cutting twice per year) consistent at all sites, and if not why not? (3) Is treatment performance related to P. aquilinum rhizome mass, litter cover or litter depth at the various sites? (4) Does successful P. aquilinum control influence species richness?


METHODS
Pteridium aquilinum-control treatments were monitored for 10 years using six replicated experiments and analysed using meta-analysis. Meta-regressions were used to explore heterogeneity between sites.


RESULTS
The effectiveness of treatments varied between sites depending on the measure used to assess P. aquilinum performance. In general, cutting twice per year was the most successful treatment but on some sites other, less expensive treatments were as good. The effectiveness of treatments at different sites was not related to rhizome mass, but the effectiveness of most applied treatments were inversely related to post-control litter. Effective treatment was also associated with high species richness.


CONCLUSIONS
It is concluded that successful development of national weed control programs requires multi-site experimental approaches. Here, meta-analyses demonstrate that variation in effectiveness between sites could be explained in part by pre-specified variables. Reliance on data from a single site for policy formulation is therefore clearly dangerous.
Stewart
Gavin
G
Centre for Evidence-Based Conservation, School of the Environment & Natural Resources, Bangor University, Bangor, Gwynedd, LL57 2UW, UK. g.stewart@bangor.ac.uk
Cox
Emma
E
Le Duc
Mike
M
Pakeman
Robin
R
Pullin
Andrew
A
Marrs
Rob
R
D000383:Agriculture / Q000379:methods; D000465:Algorithms; D004463:Ecology; D006540:Herbicides / Q000633:toxicity; D015201:Meta-Analysis as Topic; D032498:Pteridium / Q000187:drug effects / Q000254:growth & development*; D006113:United Kingdom
D006540:Herbicides