Continuing my analysis of iNat tortoise and reptile data, I looked at whether the observed changes in proportion of reptile species encountered was different in urban and urbanizing zones. I hypothesized that the continuing expansion of large cities in tortoise habitat could be contributing to their decline.
Methods
I downloaded iNat data for AZ reptile species and mapped the points in GIS. I only looked at full species instead of including named subspecies as I had in my previous analysis. Based on that previous analysis, it seemed possible that changes in subspecies identification could be accounting for some of the observed changes and I wanted to remove that potential source of bias.
I then subjectively defined polygons around the large urban zones of Phoenix and Tucson and used the Identify tool to add Phoenix and Tucson labels to all points within those areas. Note that although the study area includes other towns in Arizona (such as Prescott and Flagstaff) I did not choose to define those areas as "urban".
| Phoenix urban zone. 220 total tortoise observations. |
| Tucson urban zone: 795 observations. |
Results: Urban Zones
The majority of tortoise observations are from urban zones, especially Tucson.
It is not possible to determine if more tortoises live around Phoenix and Tucson compared to remote areas; iNat data collection is opportunistic, so places where people live are more heavily sampled than remote areas. This result is an important caveat to my previous results: iNat observation trends are most representative of urban zones and any observed changes do not necessarily represent changes in all areas of Arizona.
The proportion of tortoise observations has been increasing in urban zones, especially Tucson. From 2013-2025, although there is some noise early on (e.g. 2014) due to low observation counts, the general trend is apparent that Tucson increased from ~45% to ~55% of total observations, while areas outside metro zones decreased from ~40% to ~20%.
This could contradict my hypothesis (that tortoises are declining in areas of urban development), or it could be due to increased observers in urban zones.
Reptile observations show the same overall trend of increasing observations in urban zones. The proportion of iNat reptile observations for Phoenix increased from 10% to 20%, Tucson increased from 30% to 40%, and non-urban areas decreased from 60% to 45%.
Reptile Observation Trends
I wondered whether the amount of urban versus non-urban observations could explain the changes I observed in reptile species observations.
Updated Reptile Observation Trends
| The 26 species of reptiles with more than 1000 observations |
There were 26 species of reptiles with more than 1000 observations in the study area. They ranged from species with 100% urban observations (San Esteban Island Iguana, introduced) to species with 0% urban observations (Plateau Fence lizard). The colored cells show population change from a 2018 baseline. Look for areas of red-green or green-red, because those indicate consistent trends from 2013-2025. Red for both indicate 2018 was a high point. Green for both indicate 2018 was a low point.
I then plotted % change against proportion of non-urban observations to look for trends and outliers.
First graph: The point at 100% non-urban and 50% change is Plateau Fence lizard, which is very common in Prescott and Flagstaff, maybe that area should be an urban zone. The point above 200% change is sidewinder, maybe someone was studying them back in the day?
2nd graph. The point at 0% nonurban and 180% change is the iguana, introduced in Tucson.
Conclusion
Urban areas do not have a consistent negative or positive impact on reptile observation trends. It would be interesting to look at observation trends of individual species in each zone, but most species do not have enough observations for a meaningful statistical analysis.
At this point I can conclude that the large and increasing share of iNat observations from urban areas definitely affects the analysis of reptile observation trends, but I have not been able to identify a consistent bias that this would introduce into my overall analysis.