Self-summary and analysis:with only half a year gone, I predict this will be my year with the lowest repetition rate and the highest species density

Whenever I hit a bottleneck in adding new species to my list, my records inevitably drop. But these days, all I want to do is expand my species database—everything from terrestrial life to marine creatures.

Four years ago, during the pandemic lockdowns, I blindly uploaded massive amounts of urban weeds from my local neighborhood. It created a spammy feel and gave me a terrible reputation within the iNaturalist community in my country, turning me into a controversial figure. I feel a deep sense of shame and guilt for my past immaturity. To make up for it, I’ve started exploring species across different taxa, habitats, and observation dimensions, including microscopy.

Unlike a few years ago when I was obsessed with the sheer number of observations, I now focus more on species richness. I’ve gradually realized that quantity no longer matters, so I’ve stopped trying to boost my record count and shifted my focus to adding new species. As a result, my annual record growth in the Chinese community has dropped from first place in 2024 to seventh place so far this year.

Currently, I’m expanding my scope from urban parks and suburban mountains to intertidal zones and mangroves. My goal is to lower my observation repetition rate by discovering new species. I know this transition into marine exploration will likely take years. (I did have a fleeting thought about diving to photograph marine fish, but it was really just a passing idea.)

Review and Analysis:

Species density = species count /observation count

Repeat rate ≈ 1 − species density

(represents proportion of repeated observations)

Obeservations in 2022:

Species density ≈ 1210/9044 ≈ 0.1338

Repeat rate ≈ 1 − 0.1338 ≈ 0.8662(86.62%)

Obervations in 2023:

Species density ≈ 1817/7397 ≈ 0.2456

Repeat rate ≈ 1 − 0.2456 ≈ 0.7544(75.44%)

Observations in 2024:

Species density ≈ 2888/12055 ≈ 0.2396

Repeat rate ≈ 1 − 0.2396 ≈ 0.7604(76.04%)

Observations in 2025:

Species density ≈ 3263/11960 ≈ 0.2728

Repeat rate ≈ 1 − 0.2728 ≈ 0.7272(72.72%)

Obeservations in 2026(In just the past six months, this year is on track to achieve the highest species density and the lowest observation repetition rate.):

Species density ≈ 2131/12055 ≈ 0.4496

Repeat rate ≈ 1 − 0.4496 ≈ 0.5504(55.04%)

Bilingual Insight:

2022 → 2025: gradual increase in species density (improving sampling efficiency)

2026: structural jump due to expansion into new ecosystems and habitats

Key conclusion:

In just the past half year, 2026 has shown a significantly higher species density than all previous years on record, while the repeat rate has dropped to its lowest level (meaning more species are captured with fewer observations). This indicates that the sampling strategy has shifted from “repetitive urban observations” toward “cross-ecosystem acquisition of new species.” If this trend continues, it could substantially increase overall species richness and further reduce the overall repetition rate of observations.

Final thoughts:

It can only be said that the meritocratic mindset shaped by exam-oriented education is reshaping my cognitive structure, to the extent that it even pushes me to quantify my interests and pay attention to data across different time periods. However, I consider this to be a positive development. Although I do not intend to glorify the data-analysis habits brought about by exam-oriented thinking, they do indeed help indicate which developmental direction may be more suitable for me.

Have you since helped to ID some of that ‘massive amount’ for others ? If not the cosmopolitan weeds (which are small and difficult, or huge trees and obvious) – then applying new ID skills gained from observing new sp.

I’m not entirely sure, as I haven’t personally helped ID those specific weed records for others, so I can’t speak to their current identification status.

However, it is worth noting the context of that time. During the strict pandemic—especially in early 2020—people’s mobility was severely restricted, and upload frequencies across the platform dropped significantly. Most users were limited to photographing indoor species like arthropods and mold.

In my case, observing weeds within my residential compound was one of the few ways I could connect with nature. Objectively speaking, this period allowed me to accumulate a large volume of records and, more importantly, gradually improve my ability to identify these small, often overlooked plants through daily practice.

We are encouraged to observe weeds – as Wild obs for city dwellers. I have nothing against weeds. I remember lockdown, we were only allowed ‘out to walk’ with the person you lived with during a set timeslot. It was a very strange time.

https://www.inaturalist.org/projects/lockdown-southern-africa-2020?tab=stats

Big game hunting’ on a potted Iceberg rose :rofl:

Yes…when I upload lots of white mulberry and eastern redcedar, I mostly just get comments about how it’s neat to have someone uploading urban weeds. These are the natural organisms that most people actually interact with day-to-day so I think it can be quite interesting to document. Furthermore, meticulously documenting the presence of organisms in different areas could potentially be very useful in analysing how the environment has changed over time. The Showa Emperor throughly recorded slime moulds in the imperial palace grounds and hydrozoans in Sagami Bay. Now, someone could compare the current presence of slime molds and hydrozoans in those areas.

I myself recently documented smilo grass and fennel on Santa Cruz island. Now, those are common invasive plants in southern California and seeing them by the side of the road in Los Angeles is wholly unremarkable–but being able to see that they are both regularly found on Santa Cruz island, which is supposed to be an island ecosystem with its own endemics (and visitors are asked to wipe their shoes to prevent tracking seeds into the National Park) indicates that they are established there.

Lots of records of common species are not inherently lacking in value. (My personal records include 4924 instances of Urtica dioica, spread across 506 tetrads and 857 monads.) Geographical recording biases are an issue, but they’re potentially useful for studying distribution, persistence, range expansion, etc. Recording biases can be averaged out by taking records from multiple observers in different localities.

Since 2020 I’ve been recording whether plants are in flower or not. For the commoner species that means I’ve got enough data on flowering season to be able to “correct” the times given in floras.