I think the surveys that have been referred to here, which have been ongoing for northern cod since 1983 and for other cod stocks in other parts of Canada since the early 1970s, are very effective at what they're doing. They're designed statistically to be efficient for species like cod. They work well for other species like haddock and pollock, and things like that.
They collect a wealth of information, it's being done consistently year after year, and internationally these surveys are enviable. It took about 10 years for them to become useful and we began to understand what they were saying and how we could interpret them effectively, but now I don't think anybody would suggest that these things should be done away with.
In addition to that, we're developing much more effective and powerful statistical methodologies to deal with the plethora of information we have on the fish stocks. We have new technologies that have to do with hydroacoustic surveys that allow us to have broader coverage in the water column, and we also have video and remotely operated vehicles used to understand behaviour and what fish are doing in the wild. Those technologies are available and becoming more and more available.
DFO is working hard to keep up with it. Perhaps they could be further advanced, but I still think we're learning more and more as we go forward.
One of the biggest problems I see—and it's always been a problem, and we're still trying to grapple with it—is trying to predict what's going to happen five years down the road. One of the biggest uncertainties is how many new fish are going to be produced each year. It's called recruitment. Given how many spawners there are, and what the environmental conditions are, people have been looking at this like the Holy Grail in fish stock assessment science for decades. It's proving to be difficult to get a handle on it.
What we're good at doing now is monitoring conditions and putting them together in an historical perspective to give us some idea of what we could expect from recovery, for instance. Having precise predictions into the future about when something is going to happen is still a big challenge.