Wednesday, February 11, 2026

Wildlife Trends in Arizona: 150 Years of Winner and Losers

 Arizona’s wildlife history is an example of a timeline that occurred in many developing landscapes: an era of exploitation and eradication (1800s–1950s) followed by an era of restoration and management (1980s–present). 

However, there are some factors that were unique to the United States that led to distinct trends in wildlife populations when compared to those same species across the border in Mexico.

The following summary of research (Part 1) lists 16 Arizona species that were extirpated or greatly reduced and whether they have recovered.  Part 2 looks at 10 species that occur in both Arizona and Mexico and why their populations followed different trends.

This research illuminates the current state of wildlife and ecosystems in Arizona and helps explain the factors that got us here.

Part 1: Arizona vs. Wildlife

The following summary organizes species into groups based on their population trajectories: the “Great Returns” that were extirpated but have been successfully reintroduced, the “Survivors” that have been greatly reduced but still persist, and the “Lost Causes” that were extirpated but have not been successfully reintroduced. 

I. The "Great Returns": Extirpated & Successfully Reintroduced

These species were completely removed from the state but have been restored, often using proxy subspecies or captive breeding.

Rocky Mtn Elk

Extirpation Date/Cause: 1900: The native Merriam’s subspecies was hunted to extinction for meat and teeth.

Reintroduction Date/Area: 1913–1928: Rocky Mtn elk from Yellowstone were released near Winslow, Alpine, & Kingman.

Key Trend/Notes: Ecological Substitution: A proxy subspecies filled the empty niche, expanding rapidly due to lack of competition.

Mexican Gray Wolf

Extirpation Date/Cause: 1970: Eradicated by federal predator control programs (poison/traps) to protect livestock.

Reintroduction Date/Area: 1998: Captive-bred wolves released in the Blue Range Primitive Area.

Key Trend/Notes: Predator Tolerance: Success is biologically high but socially controversial; relies on ongoing conflict management.

 

California Condor

Extirpation Date/Cause: 1924: Vanished due to lead poisoning (bullets in carrion) and shooting.

Reintroduction Date/Area: 1996: Released at Vermilion Cliffs.

Key Trend/Notes: Intensive Care: Survival relies on active management (chelation therapy for lead) rather than self-sufficiency.

River Otter

Extirpation Date/Cause: 1950s: The native Sonora subspecies was  trapped out for fur.

Reintroduction Date/Area: 1981–1983:  Louisiana subspecies released in the Verde River.

Key Trend/Notes: Another Proxy: Like the elk, a non-native subspecies was used to successfully fill the vacant ecological role.

Black-footed Ferret

Extirpation Date/Cause: 1960s: Poisoning of their food source (prairie dogs) led to total extirpation.

Reintroduction Date/Area: 1996: Reintroduced in Aubrey Valley (Seligman).

Key Trend/Notes: Disease Barrier: Success is limited by sylvatic plague; requires dusting burrows and vaccines to persist.

Apache Trout

Extirpation Date/Cause: Mid-1900s: Hybridization with non-native rainbow trout and habitat loss.

Reintroduction Date/Area: 1955–Present: White Mtns (managed by White Mountain Apache Tribe & AZGFD).

Key Trend/Notes: The First Win: Became the first sportfish in history to be delisted from the Endangered Species Act (2024).

 

II. The "Survivors": Reduced but Persisted

These species were decimated by unregulated market hunting or predator control but survived in rugged refugia (escape terrain).

Desert Bighorn

Historic Low Point: Early 1900s: Reduced by diseases from domestic sheep and market hunting.

Survival Factor: Terrain: Survived in the most inaccessible desert peaks (Grand Canyon, Kofa).

Current Status: Translocated: Populations are moved to historic ranges (e.g., Santa Catalinas, Virgin River) to ensure genetic diversity.

 

Mountain Lion

Historic Low Point: 1960s: Bountied as "vermin" until 1970.

Survival Factor: Elusiveness: Solitary nature and rough terrain made total eradication impossible.

Current Status: Stable: Managed as a big game species; populations are robust statewide.

Beaver

Historic Low Point: 1890s: Trapped out of major rivers (San Pedro, Santa Cruz).

Survival Factor: Cryptic Behavior: Survived in deep canyons (Verde/Black River) by using bank burrows instead of lodges.

Current Status: Recovering: Reintroduced to the San Pedro (1999); used today for watershed restoration.

Pronghorn

Historic Low Point: 1920s: Fences cut off migration; market hunting reduced herds.

Survival Factor: Open Space: Remnant herds survived in vast private ranchlands (Babbitt Ranches).

Current Status: Managed: Sensitive to habitat fragmentation; relies on modifying fences for movement.

Gunnison’s Prairie Dog

Historic Low Point: 1930s: Poisoned across vast areas.

Survival Factor: Remote Refugia: Survived in the high-elevation Aubrey Valley; resistant to plague.

Current Status: Keystone: Their persistence allowed the Black-footed Ferret reintroduction to happen.

 

III. The "Lost Causes": Extirpated & Failed (or Struggling) Reintroductions

Complex social behaviors or specific habitat needs made simple reintroduction impossible.

Thick-billed Parrot

Extirpation Cause: 1938: Shooting/Poaching.

Reintroduction Outcome: Failed (1986–93): Chiricahua Mtns.

Why It Failed: Cultural Knowledge: Captive birds lacked flock wisdom to avoid hawks and find food.

Masked Bobwhite Quail

Extirpation Cause: 1900: Cattle overgrazing destroyed tallgrass cover.

Reintroduction Outcome: Struggling (1937–Present): Buenos Aires NWR.

Why It Failed: Habitat Specificity: Reintroduced birds often die due to lack of specific cover and predation; almost entirely reliant on captive releases.

Gila Topminnow

Extirpation Cause: 1940s: Invasive Mosquitofish.

Reintroduction Outcome: Mixed/Struggling: Multiple failures in the 80s/90s.

Why It Failed: Invasive Barrier: Cannot survive where aggressive non-native fish are present.

Jaguar

Extirpation Cause: 1963: Killed as predator.

Reintroduction Outcome: Natural Transients Only: No formal reintroduction.

Why It Failed: Political/Social: Only solitary males currently cross from Mexico; no breeding population exists.

Grizzly Bear

Extirpation Cause: 1936: Killed as predator.

Reintroduction Outcome: Permanently Extirpated.

Why It Failed: Social Tolerance: Requires vast, roadless wilderness that no longer exists in AZ; no plans to reintroduce.

 

Unifying Trends in Arizona Wildlife History:

The Predator Paradox:

Predators (wolves, grizzly bears and black bears, jaguars, lions) were targeted by federal policy for eradication to protect livestock.  Only the cryptic/solitary ones (lions, bears in rough terrain) survived. Reintroducing social predators (wolves) has been biologically successful but socially difficult.

The Proxy Solution:

When a native subspecies was completely lost (Merriam's Elk, Sonora Otter), biologists successfully substituted a close relative (Rocky Mtn Elk, Louisiana Otter).  These ecological substitutes often thrived because the niche was wide open and they were generalists.

The Behavioral Barrier:

Reintroductions of intelligent, social animals (Thick-billed Parrot) or habitat specialists (Masked Bobwhite) often fail.  Hard releases (letting animals go) work for generalists like elk but fail for species that require learned behavior or specific micro-habitats.

Part 2: Arizona vs. Mexico

This analysis breaks down Arizona’s extirpated and reduced species by comparing them to their source populations in other U.S. states and their often-distinct fates across the border in Mexico.

The overarching trend reveals a paradox: while the U.S. effectively managed game species (elk, sheep) through public land regulation, Mexico’s private land system (ranchos) inadvertently served as the final lifeboat for nongame species (wolves, prairie dogs, parrots) that were systematically eradicated in the U.S.

Successful Reintroductions: The Game Bias

The species that succeeded in Arizona were often abundant elsewhere in the U.S. but had been wiped out or severely reduced in Mexico.

Rocky Mtn. Elk

Status in Other U.S. States: Thriving: Millions exist across the Rockies (CO, MT, ID).

Status in Mexico: Extirpated / Rare: Native Merriam’s were also lost in Mexico. Small, private herds of Rocky Mtn. elk exist now on high-fence ranches in Coahuila/Sonora.

Accounting for the Difference: Public Land Management: The U.S. model of public land hunting funded the massive translocation efforts. Mexico lacked the public land base or agency funding to replicate this scale of reintroduction.

River Otter

Status in Other U.S. States: Secure: Abundant in the Mississippi Delta and Pacific Northwest.

Status in Mexico: Critical / Extirpated: The native Sonora otter is likely extinct in the Colorado River Delta due to the complete drying of the river before it reaches the sea.

Accounting for the Difference: Water Policy: Arizona’s otters survive in protected flows (Verde/Salt). In Mexico, the water is siphoned off for agriculture before it can support otter habitat.

Mexican Gray Wolf

Status in Other U.S. States: Extirpated: Historically ranged into NM/TX (now reintroduced there).

Status in Mexico: Reintroduced (Struggling): Mexico began releasing wolves in the Sierra Madre in 2011. The population is smaller and more fragile than the AZ/NM population.

Accounting for the Difference: Prey Base: In Arizona, wolves rely on abundant elk. In Mexico, elk are absent and deer are scarcer, forcing wolves to target livestock, leading to immediate conflict with ranchers.

Reduced/Survivors: The Refugia Divide

Species that held on in Arizona often did so in rugged terrain, while in Mexico, their fate depended heavily on the stewardship of individual landowners.

Desert Bighorn

Status in Other U.S. States: Stable: NV, CA, and UT have strong, managed herds.

Status in Mexico: Stable / Commercialized: In Sonora and Baja, bighorn are a high-value commodity. Private ranchers protect them aggressively to sell high dollar hunting tags ($50k+).

Accounting for the Difference: Economic Incentive: In the U.S., bighorn are protected by state agencies as a public trust. In Mexico, they survived because they became a private asset worth protecting from poachers.

Pronghorn

Status in Other U.S. States: Secure: WY and MT have massive herds.

Status in Mexico: Endangered (Sonoran Subspecies): The Sonoran Pronghorn (El Pinacate) is critically endangered.

Accounting for the Difference: Barriers: The U.S. herds had open range. The Mexican herds were hemmed in by highways (Hwy 2) and border fencing, severing their ability to find water during droughts.

Beaver

Status in Other U.S. States: Abundant:  r egained range across the West.

Status in Mexico: Recovering (Delta): The Colorado River Delta saw a miraculous, short-term return of beavers following the "Pulse Flow" (Minute 319) water release in 2014.

Accounting for the Difference: Resilience: Beavers in Mexico proved they are waiting in the wings; they only lack the water, whereas U.S. populations had consistent flows in mountain refugia.

Failed/Struggling: The Mexican Lifeboat

Species that failed in Arizona (often due to poisoning or habitat loss) survived in Mexico, which served as the last stronghold.

Masked Bobwhite

Status in Other U.S. States: Extirpated: Only exists in captivity/refuge.

Status in Mexico: Critical / Persistent: Small wild populations were rediscovered on private ranches in Sonora (e.g., Rancho Carrizo) in the late 20th century.

Accounting for the Difference: Grazing Intensity: While U.S. ranchers switched to exotic grasses (Lovegrass), some remote Sonoran ranches maintained native vegetation due to isolation and traditional (lower intensity) grazing practices.

Thick-billed Parrot

Status in Other U.S. States: Extirpated: No wild flocks in the U.S.

Status in Mexico: Endangered / Extant: ~2,000 birds breed in the Sierra Madre Occidental (Chihuahua/Durango).

Accounting for the Difference: Old Growth Timber: Arizona logged its sky island nesting snags by the 1930s. The remote Sierra Madre retained old-growth forests longer (though these are now threatened by logging).

Jaguar

Status in Other U.S. States: Extirpated: (Breeding populations).

Status in Mexico: Vulnerable / Breeding: A reproducing population exists in Sonora (Northern Jaguar Reserve), only ~120 miles south of the border.

Accounting for the Difference: Road Density: Arizona is crisscrossed by paved roads and development. The Sonoran habitat is more rugged, roadless, and largely privately owned, reducing human-cat interaction.

Black-tailed Prairie Dog

Status in Other U.S. States: Extirpated: Widespread poisoning campaigns.

Status in Mexico: Thriving (Janos): The Janos Biosphere Reserve in Chihuahua holds one of the largest prairie dog complexes in North America.

Accounting for the Difference: Benign Neglect: The U.S. government funded industrial-scale poisoning. The Mexican government lacked the funds for such programs, inadvertently allowing the massive colonies to survive until conservationists bought the land.

Summary of Differences

The Industrial Efficiency of Extirpation

Arizona’s extirpations were often more thorough than Mexico’s because the U.S. had the resources to be efficient. Government-sponsored predator control (wolves/jaguars) and poisoning (prairie dogs) were well-funded industrial operations in Arizona. Mexico, lacking these centralized resources, allowed "pest" species to survive simply through "benign neglect."

Public vs. Private Conservation

Arizona: Success relies on public land management (US Forest Service/BLM). This is great for generalists like elk but hard for specialists that need specific micro-habitats.

Mexico: Survival has relied on private land isolation. Remote ranches in the Sierra Madre acted as unintended nature preserves because they were too difficult to log or develop.

The Elk Gap

The single biggest ecological difference today is elk. Arizona replaced its lost native elk with a massive, successful herd of Rocky Mountain elk. Mexico never did. This means Arizona has a massive prey base for wolves and lions that Mexico lacks, creating a "food imbalance" at the border that complicates predator recovery in the south.

 

Saturday, January 31, 2026

DNA Barcodes, Klee Diagrams, and the Secrets of Speciation

Modern biodiversity detectives have found new ways to synthesize massive amounts of sequence data into clear information and insights. Two powerful tools to help visualize and understand the structure of life are DNA barcodes and Klee diagrams. Mark Stoeckle and David Thaler pioneered the use and explanation of these tools to offer insights into how species originated and evolved.

What is a DNA Barcode?

A DNA barcode is a short, standardized segment of the genome used for species identification. In the animal kingdom, the gold standard is a 648-base pair (bp) segment of the mitochondrial cytochrome c oxidase subunit I (COI) gene. While this segment represents less than one-millionth of an organism’s total genome, it has proven remarkably effective because mitochondrial DNA clusters largely overlap with species as defined by experts.

This tool is commonly used in eDNA samples to identify species from the environment. The BOLD (Barcode Of Life Database) now contains approximately five million of these barcodes, covering about 100,000 animal species. Interestingly, there is nothing inherently “special” about the COI gene biologically; it became the standard because reliable primers were adopted by a critical mass of the scientific community.

Visualizing Life: The Klee Diagram

To make sense of these millions of sequences, scientists developed the Klee diagram, a heat map that displays correlations between DNA sequences. In these diagrams, every sequence is compared with every other sequence, and the intersections are color-coded to show similarity. (Sirovich, Lawrence, Mark Y. Stoeckle, and Yu Zhang. “Structural analysis of biodiversity.” PLoS One 5.2 (2010))

Species-level clusters in skipper butterfly Astraptes fulgerator COI barcode Klee diagram. Sequence clusters appear as blocks of high correlation along the diagonal and correspond to the 10 provisional species (1. INGCUP, 2. HIHAMP, 3. FABOV, 4. BYTTNER, 5. YESENN, 6. LONCHO, 7. LOHAMP, 8. SENNOV, 9. CELT, 10. TRIGO). Block sizes reflect number of sequences per species (n 3–88). Stoeckle and Coffran 2013.

Key features of Klee diagrams include:

• Indicator Vectors: Each DNA sample is listed on both the x and y axis and a heat map is generated comparing each species to itself (red=1, a perfect match) and all of the other samples in the database.

• Species Islands: When sequences are arrayed, species appear as sharp, non-overlapping squares. This visualization confirms that species are “islands in sequence space,” with distinct clusters and empty gaps between them.

• Scalability: Recent software developments like PyKleeBarcode allow these diagrams to be computed for very large datasets, potentially representing the whole animal kingdom in a single information space.

Species-level clusters in birds: Setophaga warblers COI barcode Klee. Blocks along the diagonal correspond to species; species with shared blocks are marked with an asterisk (1. petechiae, 2. striata, 3. pensylvanica, 4. nigrescens, 5. graciae, 6. discolor, 7. virens, 8. occidentalis,* 9. townsendi,* 10. magnolia, 11. tigrina, 12. castanea, 13. dominica, 14. palmarum, 15. citrina, 16. americana,* 17. pitiayumi,* 18. cerulea, 19. pinus, 20. kirtlandii, 21. fusca, 22. coronata, 23. caerulescens, 24. ruticilla). Stoeckle and Coffran 2013.

Evolutionary Implications: Why Mitochondria Define Species

A long controversy in biology concerns whether species are “real” or just human constructs. Dobzhansky, in his 1937 book Genetics and the Origin of Species, claimed that “Biological classification [of species] is simultaneously a man-made system of pigeonholes devised for the pragmatic purpose of recording observations… and an acknowledgement of the fact of organic discontinuity.”

Stoeckle and Thaler, in their 2018 paper “Why should mitochondria define species?”, expand on the evolutionary meaning behind these barcode clusters. They argue that the patterns seen in DNA barcodes are central facts of animal life that evolutionary theory must explain.

1. The “Barcode Gap” and Low Intraspecific Variation: Across the animal kingdom, the average pairwise difference (APD) within species is typically very low, between 0.0% and 0.5%. Meanwhile, the distance between even the most closely related species is usually 2% or more. This “gap” exists because intermediates between clusters are absent or rare.

2. The Neutrality of Synonymous Mutations: Most variation within and between these barcode clusters consists of synonymous substitutions; mutations that change the DNA sequence but not the resulting protein.

Stoeckle and Thaler argue that these changes are selectively neutral in mitochondria. This is because animal mitochondria are simpler than the nuclear genome; they lack introns (and thus splicing) and only have 22 different tRNA types. This lack of complexity means synonymous codons are less likely to affect the “fitness” of the organism, allowing them to accumulate as a “molecular clock”.

However, observed patterns of variation in DNA barcodes do not match the predictions of Kimura’s Neutral evolutionary theory of random accumulation of mutations.

Intraspecific variation and population size among 111 bird species with census estimates; species with geographic or hybrid clusters were excluded. Orange markers indicate predicted variation for a model species under neutral evolutionary drift. Stoeckle and Thaler 2014.

3. A Recent Universal Expansion? To reconcile these observations, Stoeckle and Thaler’s use humans as a case example. Modern humans have an APD of 0.1%, which is about average for the animal kingdom.

Several lines of evidence suggest that human mitochondria originated from a state of uniformity approximately 100,000 to 200,000 years ago before expanding. Stoeckle and Thaler propose that the extant populations of humans, and almost all other animal species, arrived at a similar result due to a similar process of expansion from mitochondrial uniformity within the same recent geological timeframe.

Klee diagram of mitochondrial genetic diversity of humans and our closest living and extinct relatives. The human sequences represent the span of known modern diversity. The Klee diagram heat map demonstrates greater mitochondrial diversity among chimpanzees and bonobos than among living humans. Thaler and Stoeckle 2016.

This coincides with Mayr’s 1942 idea that bottlenecks followed by expansion could explain speciation:

“The reduced variability of small populations is not always due to accidental gene loss, but sometimes to the fact that the entire population was started by a single pair or by a single fertilized female. These “founders” of the population carried with them only a very small proportion of the variability of the parent population. This “founder” principle sometimes explains even the uniformity of rather large populations…”

Mitochondrial genetic diversity, represented as average pairwise difference of COI barcodes, in relation to census population size in humans, chimpanzees, and bonobos compared to a well characterized set of birds (Stoeckle and Thaler 2014). Mitochondrial genetic diversity in humans is about 0.1%, less than that of many bird species, despite having more than 10-fold greater population than the most abundant bird in this dataset. Chimpanzees and bonobos have much smaller population sizes than humans, but conspicuously higher diversity, consistent with reproductively isolated subgroups. Thaler and Stoeckle 2016.

Conclusion

DNA barcodes and Klee diagrams do more than just identify species; they reveal a kingdom-wide pattern of organic discontinuity. Whether through population bottlenecks, lineage sorting, or gene sweeps, the uniform low variance across species suggests that the “islands” of biodiversity we see today are the result of deep evolutionary currents that affect all animals—from humans to birds to insects—in a surprisingly similar way.

Thaler and Stoeckler conclude their 2018 paper by noting that “there is irony but also grandeur in this view that, precisely because they have no phenotype, synonymous codon variations in mitochondria reveal the structure of species and the mechanism of speciation.”

Annotated Bibliography

Sirovich, Lawrence, Mark Y. Stoeckle, and Yu Zhang. “Structural analysis of biodiversity.” PLoS One 5.2 (2010): e9266.

- lays out math and originally defines “Klee diagrams”. Some examples.

Stoeckle, Mark Y., and Cameron Coffran. “TreeParser-aided Klee diagrams display taxonomic clusters in DNA barcode and nuclear gene datasets.” Scientific Reports 3.1 (2013): 2635.

- short and sweet version for Nature. Butterly and Warbler Klee examples.

Stoeckle, Mark Y., and David S. Thaler. “DNA barcoding works in practice but not in (neutral) theory.” PLoS one 9.7 (2014): e100755.

- first paper to note that the observed patterns in Klee diagrams, of homogenous species, doesn’t match neutral theory. OK.

Thaler, David S., and Mark Y. Stoeckle. “Bridging two scholarly islands enriches both: COI DNA barcodes for species identification versus human mitochondrial variation for the study of migrations and pathologies.” Ecology and Evolution 6.19 (2016): 6824-6835.

- short but good paper, cool data on humans, bonobos, and chimps, and comparison to results from their 2014 paper disproving neutral theory. Human/Chimp Klee example.

Stoeckle, Mark Y., and David S. Thaler. “Why should mitochondria define species?.” BioRxiv (2018): 276717.

- deep dive analysis that builds on 2014 observation that mitochondrial DNA barcodes don’t match expectations of neutral theory (”Species are islands in sequence space.”), while at the same time appearing to be created by neutral (synonymous) sequence changes. This is explained by evolutionary mechanisms of speciation, which has implications for how recent most species have become species. These results also help to resolve some of the disagreements about the definition of a species.

Duchemin W, Thaler DS (2023) PyKleeBarcode: Enabling representation of the whole animal kingdom in information space. PLOS ONE 18(6): e0286314.

- methods paper

Friday, January 16, 2026

A Decadal Porcupine Survey in Arizona

My last post was a summary of iNaturalist porcupine sightings in Arizona.  This post compares those results to previously published results.  Brown and Babb published the results of their 2000-2007 survey data in 2009 (Brown&Babb 2009) and McCarthy followed up with the results of his 2011-2015 survey in 2017 (McCarthy 2017).  

Since my results focus on porcupines observed since 2016, it is interesting to compare these three decades of porcupine surveys.

Also, Taylor published a comprehensive survey of Arizona porcupines in 1935 from work in the late 1920's and early 1930's.  



Porcupine Population

Porcupine populations can be estimated to some degree by the number of animals observed in a given time.  However, each of the studies used different methods to count porcupines, so the counts are not directly comparable.  

Brown and Babb and McCarthy asked land managers to report porcupines and they compiled the results.  The iNaturalist data I report was submitted by more than 100 iNaturalist observers who happened to encounter porcupines.  


Total Observations 


Porcupines 

Whether compiled from questionnaires sent to land managers or from interested naturalists, fewer than 20 verifiable porcupines are reported per year during this century.  Brown and Babb include data from one land manager from the North Kaibab / North Rim of the Grand Canyon who reported "hundreds" of porcupines, but this report is not an accurate or verifiable count and I excluded it from this analysis.

Taylor's report was motivated by "the porcupine problem" and noted several instances of hundreds of porcupines observed in a single day, more than any of the more recent studies observed in a single year.  The later studies all concluded that porcupines are rare but widely distributed across Arizona.   

Roadkill

The majority of the kills reported by McCarthy were between June and October (61%). They state that this correlates to the months when the porcupines are most active.

This is somewhat true of iNat data, where 50% were reported June to October, but there appears to be a spring peak as well that is not mentioned by McCarthy.  However note that 50% is only 6 animals out of the total 12 roadkill sightings in iNat data so there is not much statistical depth to this observation.  McCarthy's 61% figure is based on 14 animals out of the 23 total roadkill sightings, so their data is not much deeper.

There are many more total observations in iNat (183 versus McCarthy's 56 observations), however there are fewer roadkill sightings.  Therefore 41 % of McCarthy's observations were roadkill, whereas only 6% of the iNat observations are roadkill.  This may be due to citizen scientists bias against photographing dead animals, especially roadkill which are often gruesome to look at and unsafe to photograph.


Months when porcupines are most active

McCarthy states porcupines are most active June to October, however their data actually show broad seasonal activity from April to October.  Brown & Babb show higher sightings May to October.  In contrast, the iNat data show  activity throughout the year.  


Brown and Babb and McCarthy do not separately show seasonality of live porcupines.  In the iNat data, because of a spike in observations of dead porcupines in April, the phenology of live porcupines shows dips in both spring and fall and definitely does not support McCarthy's conclusion that porcupines are most active May-October.


Many of the iNat sightings are from deciduous trees (cottonwoods and willows) where porcupines are more visible during winter leaf-off. 

Previous research did not emphasize the importance of these deciduous species.  

Taylor commented that "Occurrences in junipers, willows. black walnuts, aspens, and cottonwoods are apparently limited to a very few records out of several hundred available. No evidence is at hand that the porcupine, in the Southwest proper, feeds to any extent on these last-named trees…"

Brown and Babb only reported 5 porcupines in riparian deciduous trees out of their total 214+ observations, and McCarthy only reported 4 in these trees out of his total 56 observations.

It is possible that the preponderance of iNat porcupines in these trees is due to observer bias, with the Willow lake and Petrified Forest hosting large numbers of hikers and nature enthusiasts. However, it should be noted that many other areas of the state (including the Grand Canyon and areas around Flagstaff) also host large numbers of recreationalists without reporting large numbers of porcupines.  However, as stated above, deciduous trees leaf-off state does make porcupines easier to spot.


Looking at iNat observations of live porcupines on the ground, it does look like they are most active in June, with elevated activity through October.


Porcupine Distribution

McCarthy reported a continuation of the observations by Brown and Babb, i.e. that porcupines are sparsely spread throughout the habitats where they have been reported.  While this is true as far as it goes, it does appear that there are certain areas of either greater porcupine population density or greater observer bias in photographing them.  About half of the iNat observations are from two discrete locations: Willow lake in Prescott, and Petrified Forest National Park near Holbrook.  

McCarthy noted that porcupines commonly occur in habitats that are not dominated by conifer trees.  That certainly continues to be the case in the iNat data.  Taylor's original paper noted that national forests were the preferred habitat of porcupines, but in more recent years they appear to be more common in deciduous forests, grasslands, and other non-conifer forest habitats.

There are areas of apparently good habitat that do not support porcupine populations.  The Prescott National Forest, despite extensive stands of ponderosa pine with mixed oak understory, has consistently been noted as not having many porcupines.  Brown and Babb reported 7, but interestingly these were all from grasslands, not the forests areas.  Based on personal communication with employees of the Forest, no porcupines have been observed recently on that forest.

Taylor noted: "The porcupine…appears to attain its greatest numbers in parts of the San Juan (Colorado), Carson and Cibola (New Mexico), Coconino and Tusayan (Arizona) national forests. On some forests where conditions seem as favorable as on those mentioned, as the Santa Fe, Manzano, Apache, Kaibab, and Sitgreaves, porcupines are for the most part scarce or of little economic importance. In general as one goes southward porcupines become less numerous. They are decidedly scarce on the Lincoln, Gila, Crook, Tonto, and Prescott forests."

Another area of apparently suitable habitat is the upper Verde river, which has an extensive stand of cottonwood and willow trees surrounded by wildlands.  Surveyors, who look for Yellow Billed Cuckoos throughout this area each month of the growing season, report that they have never seen a porcupine.  Yet porcupines are well known from the cottonwoods and willows around nearby Willow lake in Prescott.

Each of the previous authors have speculated that mountain lion predation may control porcupine abundance.  It may be that mountain lions are less present around Willow lake in Prescott and in Petrified Forest National Park, and more abundant along the upper verde and in the conifer forests of Prescott National Forest.  The present study cannot cast any light on that hypothesis.  

Another hypothesis for the patchy distribution of porcupines is habitat fragmentation by roads and other human development.  As discussed above, the present study did not find a high proportion of porcupine roadkill, but incidental observations and discussions suggests that porcupines are commonly killed on roads but those observations were not documented in iNaturalist.  

If porcupine populations are small and patchy in distribution, and if migrations between populations is difficult and uncertain, then porcupine populations may be reproductively isolated.  

Taylor:  "A noteworthy feature of porcupine distribution is its lack of uniformity. In some regions the animals will be fairly abundant, while in others, perhaps not far away, they will be scarce, although conditions appear to be equally favor-able."

Uldis Roze, in "The North American Porcupine," suggested that porcupines are dependent on a species-specific microbiome to digest their high cellulose diet of rough plant matter.  This is based on observations that when porcupines are introduced to a new area they consume the fecal pellets of resident porcupines in an apparent attempt to inoculate their microbiome.  Porcupines eat a wide variety of plant species, but individual porcupines are documented preferring certain plants, possibly based on their ability to digest them. 

If these ideas are correct, then porcupines may have difficulty colonizing areas that do not currently support porcupines.  It may take awhile to develop a "taste" for plants in different areas. If so, porcupine populations may be at risk of long term decline in Arizona.  Small and isolated populations may die out, and if nearby porcupines cannot safely travel and cannot easily digest the different plants in those areas, it may be difficult or impossible to replace extirpated populations.  

Taylor: "The porcupine must occasionally, if not regularly, make long trips across country. It must possess considerable capacity to adapt itself to whatever dens, natural burrows, rocky shelters, or vegetative cover it can find in the non-timbered areas into which it roams. The obvious wanderlust of the animal must tend to insure the species the widest possible geographic and ecologic range. Foster reports occasional porcupines found in badger holes in the treeless Williamson valley, Yavapai county, Arizona."

The large continuous band of conifers across the national forests of Arizona should continue to provide habitat for sustainable porcupine populations.  Hopefully the few scattered iNat observations across this area are few and scattered due to lack of observers and not lack of porcupines.  If porcupines are  not doing well in this bastion of habitat they indeed face an uncertain future in Arizona.

The American Southwest, including parts of Texas, NM, and Arizona marks the southern extent of porcupines except for a few endangered populations in the mountains of Mexico.  As the climate warms, it is possible that porcupines find Arizona's environment increasingly challenging.  However, Taylor states that porcupines are limited by food availability, not climatic extremes.

Citations
Brown, David E., and Randall D. Babb. "Status of the Porcupine (Erithizon dorsatuh) in Arizona, 2000–2007." Journal of the Arizona-Nevada Academy of Science 41.2 (2009): 36-41.

McCarthy, Michael. "Porcupines (Erethizon dorsatum) in Arizona, 2011–2015." Journal of the Arizona-Nevada Academy of Science 47.1 (2017): 19-22.

Roze, Uldis. The North American porcupine. Cornell University Press, 2009.

Taylor, Walter Penn. Ecology and life history of the porcupine (Erethizon epixanthum) as related to the forests of Arizona and the southwestern United States. No. 3. University of Arizona, 1935.

Saturday, December 27, 2025

Porcupines in Arizona


An Arizona Porcupine observed at Willow Lake in Prescott.  Link to iNat observation.  


Porcupines are infrequently observed in Arizona, with only 206 total observations on iNaturalist since 2009, of which 198 are positively identifiable.  (Compared to about 900 observations in New Mexico.)  

Of the 198 in Arizona, 35 were at Willow Lake in Prescott, 55 at Petrified Forest National Park in NE Arizona, and about 30 between Williams and Flagstaff.  The remaining 78 were observed in ecosystems across the state, except for the Sonoran desert.

102 were observed on the ground, but 24 were dead, and half of those (6% of the total) were roadkill (viewer discretion advised).

Porcupine dead on road in Prescott.  Link to iNat observation.

96 porcupines were observed using different tree species as habitat.  The most common tree was cottonwood (Populus fremontii), followed by Ponderosa Pine (Pinus brachyptera).  Willows (Salix goodinggii) were also frequent.  Porcupines were observed in all common tree species, including oaks (Quercus), Junipers (Juniperus), Pinyon pines, Elms, and Douglas Fir (Pseudotsuga menziesii).  

Porcupine in cottonwood tree, Willow lake. Link to iNat observation. 



Friday, December 19, 2025

What's up with iNat in Japan?

 I recently listened to a fascinating podcast about the naturalist community in Japan, specifically the entomology fanatics. However, when I look at iNaturalist statistics for Japan, there appear to be very few observations/observers/identifiers given the population and level of development.

image

This figure shows the number of Observations, Observers, and Identifiers for select countries that have similar populations. Japan (red X) is way below the trend lines for all 3 metrics. The full dataset can be explored interactively on Tableau.

Interestingly, South Korea (blue triangle) clusters with Japan, although South Korea has a population that is less than 1/2 that of Japan.

Based on feedback from the iNat forum, it seems likely that nature-nerds in some of these countries are using other platforms to record their observations.

However, if they are using other platforms, they do not record data in a universal format that is indexed in the Global Biodiversity Information Facility (GBIF):

image

This chart shows GBIF records from Japan.

Hopefully over time more people will discover iNaturalist to record their natural history observations!