Given the scenario that we have negatively influenced occupancy of a wild animal by our daily activities; when we stop these activities, we notice that wildlife reclaim some of the areas. When I say daily activities, I mean the use of vehicles, rapid mass transport, noise and light pollution. In impact assessments, this baseline effect should be measured. Further, any other specific factor, such as, mining, hunting or felling should be additively scored. A way of partitioning the anthropogenic factors will help in addressing this.
If I am getting your point correctly you want to measure the impact of each anthropogenic activity separately say in percentage contribution by type. As you must be observing that during COVID-19 lockdown period many wild animals are approaching near human habitations. Right!!!
Practically partition is not possible unless and until you have different sites for different combinations such as in some site you must be having either one of the anthropogenic pressure only or a combination of two/three/more activities all along with wildlife population nearby. To completely prove your results you need to have at least one site for each possible combination. Even you may report sites which didn't have wildlife reports earlier but now there are reports. In such cases, you need to document the recent changes in anthropogenic activities and see from where the reported wildlife had come and for how long. In most of the cases reported in media till date in India, all such places were nearby to a protected area. As during lockdown all the anthropogenic activities including hunting and felling have paused you can not decide which factor has contributed how much. Hope I got you right and you got my point.
Hi, you could look into performing Redundancy Analysis (RDA) on your data. This analysis might help you achieve what you want: https://mb3is.megx.net/gustame/constrained-analyses/rda