Hello everyone here, I am researching about the protected areas' effectiveness assessment,
My question is for example one protected area is built in year 2001, with MOD13Q1 data available since year 2000, how to better translate the effectiveness of 'protected area'? I know one of the method can be done that is the comparative analysis of 'before protected' and 'after protected', like: 2000-2001----before protected, 2001-2019: after protected, but for 'before protected' the length of time is just one year and this result is not objective enough. I want to know is there any good solutions to resolve this problem of the extremely short former period: 'before protected', is there any way or mainstream method to substitute this unreliable method?
I have a protected area which is built in year1985, now I have the Landsat yearly composite data starting from year 1984 but this protected area is hard to convince it's protection because 'before protected' is still with just one year difference.
Structural break in time series maybe would be of help, but how can I attain the 'before and after' built-up time for researching?
It's not possible with only one year between studies. However, you can compare different replicates and correlate or ordinate the different variables between them, and patterns might emerge, such as species associations or presence-absence data, which can be used to compare diversity, etc. You can then try to explain your results in terms of how protection of one species conserves another. This might even answer your question because it will eliminate the time factor :)
Foucus on one or group of indicatior species
extract the gain/loss/stable between 2000 and 2019
use the results of indicator species to explain your work
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