Also, don't forget that a lot of replication would fundamentally involve going and collecting additional samples / observations / etc in the field area, which is often expensive, time consuming, and logistically difficult.
It's not just "can we replicate the analysis on sample X", but also "can we collect a sample similar to X and do we observe similar things in the vicinity" in many cases. That alone may require multiple seasons of rather expensive fieldwork.
Then you have tens to hundreds of thousands of dollars in instrument time to pay to run various analysis which are needed in parallel with the field observations.
It's rarely the simple data analysis that's flawed and far more frequently subtle issues with everything else.
In most cases, rather than try to replicate, it's best to test something slightly different to build confidence in a given hypothesis about what's going on overall. That merits a separate paper and also serves a similar purpose.
E.g. don't test "can we observe the same thing at the same place?", and instead test "can we observe something similar/analogous at a different place / under different conditions?". That's the basis of a lot of replication work in geosciences. It's not considered replication, as it's a completely independent body of work, but it serves a similar purpose (and unlike replication studies, it's actually publishable).