Project summary for 2019
all data observed and uploaded to 2019-12-31 (2018-12-31)
Observations 56,504 (38,063) || Species 1,732 (1,628) || Identifiers 647 (506) || Observers 1,053 (671)
Most Observations
sk2 13,525 (8,138) || hkmoths 5,545 (4,067) || chanddgreen 4,633 (2,906) || sunnetchan 3,614 (2,614) || hoiling 2,974 (2,974)
Most Species
hkmoths 1,151 (1,063) || sk2 1,104 (992) || chanddgreen 827 (700) || sunnetchan 677 (569) || hoiling 610 (610)
rank of top 10 observed taxa (genus or species) to the end of 2019 from the start of the project (cumulative data)
| rank at end 2019 (cf. 2018) | taxon | obs. at end 2018 | obs. at end 2019 | % increase in observations |
| 1 (=) | Orvasca subnotata | 340 | 533 | 57 |
| 2 (↑ 4) | genus Artaxa | 247 | 498 | 102 |
| 3 (↑ 2) | Orgyia postica | 279 | 485 | 66 |
| 4 (↓ 2) | Lyssa zampa | 293 | 462 | 58 |
| 5 (↑ 7) | Dasychira chekiangensis | 190 | 423 | 121 |
| 6 (↑ 2) | Dysphania militaris | 281 | 382 | 36 |
| 7 (↑ 1) | Hyposidra talaca | 232 | 394 | 70 |
| 8 (↓ 5) | Perina nuda | 285 | 382 | 34 |
| 9 (↓ 2) | Syntomoides imaon | 232 | 368 | 59 |
| 10 (=) | Traminda aventiaria | 194 | 339 | 75 |
data as of 1 January 2020
Usá ArgentiNat con app iNaturalist
Comentarios
Interesting data showing an increase in observations, but I am seeing far fewer months, particularly during night time, at least on Lantau. I wonder if the increase numbers reflect a. more observers and b. more effort among observers? Is there anyway to standardize the observations? Such as dividing the number of observations by number of observers, or mean number of observations per observer, with standard deviations to indicate spread of observations? Thx
r
Hi Richard,
at the moment, the data is showing more recording effort. This type of recording (observational presence-absence) data has limitations, which is known by iNat, in that methodologies are not standardised, so straight-forward statistical analysis is not an option here.
The project aims to increase awareness of nature in general and get people to record moths in HK, and to some extent that's happening on both counts. There are then avenues to follow through with more detailed work. Once I get the Illustrated Guide to the Moths of Hong Kong completed and published (mid 2020 is the target, having been 17 years in prep), I will have more time to coordinate this project and get greater involvement and awareness across the various sectors here and abroad.
What I can say from my own field work, though, is that most of the recording using standard light "traps" has been poor, with the number of species, and abundance of most species generally lower. 2019 was an "early" year, with most action in February/March and September, both peaks a month or so ahead of the previous "normal" (though, other than on a normal distribution curve, there is no such thing as "normal") years, where late March through April and again in October would be the peaks of adult moth activity.
What this project does is provide a baseline of where species are distributed over time. The data then allows follow up work for species IUCN Red List assessment based on species occurrance. Additionally, there are methods of using these data to indicate if there are correlations with environmental factors, and for HK there is already some indication climate change is impacting upon species local elevational distribution . . . this work was published earlier this year.....
Cheng, W., Kendrick, R,C., Guo, F., Xing, S., Tingley, M.W. & Bonebrake, T.C., 2019. Complex elevational shifts in a tropical lowland moth community following a decade of climate change. Diversity & Distributions 25(4): 514-523. https://doi.org/10.1111/ddi.12864
Agregar un comentario