Collaborative approaches to monitoring natural resource conditions--often called multiparty monitoring--are valuable ways to produce shared learning. Through shared learning, different assumptions can be tested jointly about important questions, like:
What will happen if we do this?
Did what we thought would happen actually happen? Were the actions effective?
What can we learn that we hadn't expected?
Do the monitoring results actually tell us anything we can act on?
And, perhaps most importantly, what different interpretations of the results are plausible? What can we learn about how others interpret the same results?
