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Thought that would get your attention ;-)
“More scientists need to be trained in quantitative synthesis, visualization and other software tools.” D. Peters (2010)
In fact, that is part of the title of today’s focus paper in Trends in Ecology and Evolution by D. Peters – Accessible ecology: synthesis of the long, deep,and broad.
As a ‘quantitative’ ecologist (modeller, numerate, etc.) whose career has been based to a large degree on the analysis of large ecological datasets, I am certainly singing Peters’ tune. However, it’s much deeper and more important than my career – good (long, deep, broad – see definitions below) ecological data are ESSENTIAL to avoid some of the worst ravages of biodiversity loss over the coming decades and centuries. Unfortunately, investment in long-term ecological studies is poor in most countries (Australia is no exception), and it’s not improving.
But why are long-term ecological data essential? Let’s take a notable example. Climate change (mainly temperature increases) measured over the last century or so (depending on the area) has been determined mainly through the analysis of long-term records. This, one of the world’s most important (yet sadly, not yet even remotely acted upon) issues today, derives from relatively simple long-term datasets. Another good example is the waning of the world’s forests (see posts here, here and here for examples) and our increasing political attention on what this means for human society. These trends can only be determined from long-term datasets.
For a long time the dirty word ‘monitoring’ was considered the bastion of the uncreative and amateur – ‘real’ scientists performed complicated experiments, whereas ‘monitoring’ was viewed mainly as a form of low-intellect showcasing to please someone somewhere that at least something was being done. I’ll admit, there are many monitoring programmes producing data that aren’t worth the paper their printed on (see a good discussion of this issue in ‘Monitoring does not always count‘), but I think the value of good monitoring data has been mostly vindicated. You see, many ecological systems are far too complex to manipulate easily, or are too broad and interactive to determine much with only a few years of data; only by examining over the ‘long’ term do patterns (and the effect of extremes) sometimes become clear.
But as you’ll see, it’s not just the ‘long’ that is required to determine which land- and sea-use decisions will be the best to minimise biodiversity loss – we also need the ‘deep’ and the ‘broad’. But first, the ‘long’. Read the rest of this entry »
ConservationBytes.com 