Guest post by Marc Hendrickx
A little over a month ago reports appeared in the press (eg. Butterflies ‘fly early as planet warms’) that the common Brown Butterfly (Heteronympha merope) was emerging 10 days earlier than it was 60 years ago all due to global warming attributed solely to CO2 emissions. The report was based on a paper published in Biology Letters. The article was titled “Early emergence in a butterfly causally linked to anthropogenic warming” by Michael R. Kearney, Natalie J. Briscoe, David J. Karoly, Warren P. Porter, Melanie Norgate and Paul Sunnucks was published online on 17 March 2010. The abstract can be accessed HERE.
The basis of the study was opportunistically collected observational data of butterfly emergence based on museum records and private data collected between 1941 and 2005 in an area centred around Melbourne, Australia, a city of about 4 million people. No links to the original data or location information of observations were provided in the published article.
The authors gauged the temperature dependence of Heteronympha merope under laboratory conditions and used historical weather data for 1945–2007 (Bureau of Meteorology, Australia) from Laverton (37.868 S, 144.768 E), a “rural” site close to Melbourne, to model the physiological response of H. merope to temperature. The authors claim that this weather station is a ‘high-quality’ site, unaffected by changes in exposure, urbanization, instrumentation, etc., during the study period. Weather records (mean monthly maximum and minimum air temperature, wind speed and cloud cover) were translated into microclimates experienced by immature H. merope using biophysical modelling software (NICHE MAPPER, http://www.zoology.wisc.edu/faculty/Por/Por.html#niche).
The observed temperature trends at Laverton were compared to output from extended climate model simulations for the single-model grid box overlying Melbourne and Laverton. Anthropogenic climate forcing included observed increases in greenhouse gases and estimated variations of anthropogenic aerosols, whereas natural external climate forcing included estimated changes in solar irradiance and volcanic aerosols.
The results are summarised in Figure 1 from the paper

I found a number of issues with this paper that pointed to strong confirmation bias and quickly put together a comment that I submitted to Biology Letters on 19 March 2010, just two days after the article was published on line. A copy of the manuscript appears below. I received notification this week that the manuscript was rejected. The reviewer comments make interesting reading (see below) and I thought I would share them with WUWT readers, with a view that the collective brain of WUWT readers would help find the necessary references such that I might be able to re-submit the comment to Biology Letters sometime over the next few weeks. I’d also be interested in hearing the views of the authors and invite them to add their comments.
Comment on Kearney et al., 2010: Early emergence in a butterfly causally linked to anthropogenic warming.
Kearney et al. (2010) examine phenological change in Heteronympha merope (Nymphalidae) to test whether (i) the phenological shift could be explained by air temperature change, and (ii) that the associated change could be attributed to human influences. Kearney et al., contend their results support:
- a shift in the mean emergence date for H. merope of 1.6 days per decade over a 65 year period over 12,000 km2,
- an increase in local air temperature of 0.14ºC over the same period, and
- attribution of the phonological and temperature change to anthropogenic warming, due to greenhouse gas emissions.
There are significant issues with the study outlined below that negate the conclusions:
1. Observed emergence times for H. merope were based on opportunistically collected data over an area of about 12,000 km2 (geographic area-37.60-38.54 Lat, 144.17 to145.48 Long.) centred on the Melbourne CBD. The location of individual observation locations is not provided and there potential for location bias is not discussed. Nor is there a discussion of the potential effect of confounding influences that may affect emergence times. These influences include: human impact on habitat (Kobayashi et al., 2009), pollution, coincidence in emergence of H. merope with changing emergence patterns of its food stock, food availability and variation over time. These factors may have provided adaptive stresses favouring earlier emergence.
2.The methodology for determining thermal dependence of development rate for eggs, larvae and pupae did not account for other variables that might be a factor in emergence such as: atmospheric CO2 content or affect of atmospheric pollutants such as CO, and ozone common in urban environments. There is a considerable body of evidence demonstrating that effects of elevated CO2 on plants can influence insect herbivore performance (Watt et al. 1995, Bezemer and Jones 1998). Changes in leaf chemistry for instance, such as decreased leaf nitrogen and increased carbohydrate and polyphenolic concentrations at elevated CO2 (Cotrufo et al. 1998, Penuelas and Estiarte 1998), might affect insect development (Slansky 1993) and potentially effect emergence timing. These factors were not taken into consideration and as such the link between emergence timing and temperature cannot be conclusively stated.
3.To assess whether the observed change in climate could be attributed to human influence, the observed April-October mean temperature trend for 1944-2007 for the weather station at Laverton (Bureau of Meteorology-BOM ID 87031) was compared to climate model simulations. Laverton is affected by urbanisation effects from significant changes in land use over the period of observations. Australian Bureau of Statistics (ABS 2008, ABS 2008a) data show an increase in population in the area from 7854 in 1933 to 132793 in 2008 (ABS, 2008, 2008a). Hence to define the station as “rural” is a misrepresentation. NASA GISTEMP defines the station as “Urban” with a population of 2.7 million (GISTEMP, 2010). A station at the western edge of the study area with records spanning the period 1903 to 1998 shows no substantial warming (Figure 1). This station, Durdidwarrah BOM ID 87021, is located in the Brisbane Ranges National Park in an area that has not experienced significant land use change since the 1870s when dams were constructed (Catrice, 1997). A comparison between Durdidwarrah, Laverton and the Melbourne CBD station (BOM ID 86071) indicates substantial warming over the Melbourne Region. The disparity between the rural station and the two urban stations suggest this warming is due to urbanization, rather than increases in greenhouse gases. The temperature increases due to urbanization are similar to those reported in China (Jones et al., 2008).
References
ABS 2008. Australian Bureau of Statistics 3105.0.65.001 – Australian Historical Population Statistics. www.abs.gov.au (accessed 18 March 2010).
ABS 2008a. Australian Bureau of Statistics 3218.0 Regional Population Growth, Australia. www.abs.gov.au (accessed 18 March 2010).
Bezemer, T. M., & Jones, T. H. 1998 Plant–insect herbivore interactions in elevated atmospheric CO2: quantitative analyses and guild effects. Oikos 82, 212–222.
Catrice D. 1997 Brisbane Ranges National Park. Parks Victoria. Department of Natural Resources and Environment, Melbourne Victoria (accessed 18 March 2010)
Cotrufo, M. F., Ineson, P. and Scott A. 1998 Elevated CO2 reduces the nitrogen concentration of plant tissues. Global Change Biology 4, 43–54
GISTEMP 2010. NASA GISS Surface Temperature Analysis – Station Data ‘Laverton’ GISTEMP ID 501948650000 (http://data.giss.nasa.gov/cgi-bin/gistemp/gistemp_station.py?id=501948650000&data_set=0&num_neighbors=1) (accessed 18 March 2010).
Goverde, M., Erhardt, A., & Niklaus P. A. (2002) In situ development of a satyrid butterfly on calcareous grassland exposed to elevated carbon dioxide. Ecology 83(5), 1399-1411
Jones, P. D., Lister, D. H., and Li Q. (2008), Urbanization effects in large-scale temperature records, with an emphasis on China, J. Geophys. Res., 113, D16122, doi:10.1029/2008JD009916.
Kearney, M. R., Briscoe, N. J., Karoly, D. J., Porter, W. P., Norgate M. and Sunnucks P. 2010 Early emergence in a butterfly causally linked to anthropogenic warming. Biology Letters (doi: 10.1098/rsbl.2010.0053)
Kobayashi, T., Kitahara, M., Suzuki, Y. and Tachikawa, S. 2009. Assessment of the habitat quality of the threatened butterfly, Zizina emelina (Lepidoptera, Lycaenidae) in the agro-ecosystem of Japan and implications for conservation. Transactions of the Lepidopterological Society of Japan 60(1), 25-36.
Penuelas, J., & Estiarte M. 1998 Can elevated CO2 affect secondary metabolism and ecosystem function? Trends in Ecology and Evolution 13, 20–24.
Slansky, F. 1993 Nutritional ecology: the fundamental quest of nutrients. Pages 29–91 in N. E. Stamp and T. M. Casey, editors. Caterpillars: ecological and evolutionary constraints on foraging. Chapman and Hall, New York, New York, USA.
Watt, A. D., Whittaker, J. B. , Docherty, M., Brooks, G., Lindsay, E. and Salt D. T. 1995 The impact of elevated atmospheric CO2 on insect herbivores. Pages 197–217 in R. Harrington and N. E. Stork, editors. Insects in a changing environment. Academic Press, London, UK.
=================================
Rejection Letter received April 20 , 2010. Dear Mr Hendrickx
I am writing to inform you that we have now obtained responses from referees on manuscript RSBL-2010-0263 entitled “Comment on Kearney et al., 2010: Early emergence in a butterfly causally linked to anthropogenic warming.” which you submitted to Biology Letters.
Unfortunately, your manuscript has been rejected following full peer review. Competition for space in Biology Letters is currently very severe, as many more manuscripts are submitted to us than we have space to print. We are therefore only able to publish those that are exceptional and present significant advances of broad interest, and must reject many good manuscripts.
Please find below the comments received from referees concerning your manuscript, not including confidential reports to the Editor. I hope you may find these useful should you wish to submit your manuscript elsewhere.
We are sorry that your manuscript has had an unfavourable outcome, but would like to thank you for offering your work to Biology Letters.
Yours sincerely
Publishing Editor
Editor’s comments:
I am rejecting this in view of the strong criticisms by refs. 1 and 3. If the author can deal with these comments, we could consider this for e-letters.
Reviewer(s)’ Comments to Author:
(MH-I have added comments in italics)
Referee: 1
Comments to the Author(s)
The ms is a critique of a recent publication by Kearney et al in Biology Letters. But I am not convinced by any of the author’s three criticisms of the paper.
The first criticism is that the data presented in Kearney et al does not support evidence of a change in emergence times over the study period. Kearney et al note in their paper that while “the opportunistically collected data probably adds considerable noise to any signal of phenological shift, there is no reason to expect such data to be chronologically biased”. To me, this proviso seems sufficient (MH-this seems difficult to justify as no actual data is presented). For the criticisms in the current ms to be supported, the author should present some evidence that this species or others are shifting their phenology related to some of the other factors suggested, or some evidence that in fact the data does not support a shift in phenology. (MH-Can WUWT readers help out with suggestions?) I also do not know where the author has extracted the “area of 12000 km2” data from (MH-this was based on the geographic coordinates provided in the paper) , or that the data were drawn from “disparate, genetically diverse groups” (MH-This was an assumption I made that there would be significant genetic variation over a large geographic area-the area covered by the study contains a range of geographies and sub-climates that may provide local variation in emergence timing. The absence of location data for observations makes it impossibel to judge the potential affect of geographic bias).
The second criticism is that the physiological model did not account for other possible variables. No, but the fit of observed phenology to that modelled based on climate was extremely close. For this criticism to be justified the author should again present some empirical evidence that the other variables listed influence emergence times in this species or similar species. (MH-Can WUWT readers help out with suggestions?)
I am most concerned about the third criticism levelled by the author, that the temperature increase noted for the meteorological station in the Kearney et al paper is dependent on urbanisation effects. The author here presents data from a rural met station and argues that it has shown no increase in temperature over the same period of time. However, the comparison is not valid, because the regression of temperature against year in Fig 1 for the Durdidwarrah station is run from 1903 to 1998, rather than 1944 to 2007, as in the Kearney et al paper. Examination of the figure shows that had data for the approximate 1940 to 2000 period been analysed for Durdidwarrah, there would have probably been a significant increase in temperature, comparable to that reported for the Laverton station by Kearney et al. In this case it is essential to compare like with like, as the Kearney et al paper is not looking at changes to butterfly phenology since 1903, but from the 1940s. (MH-Durdidwarrah is a good station but suffers from a number of breaks in reporting. The reviewer is correct in arguing that a trend through Durdidwarrah from 1940 through 2000 would yield a decadal trend similar to Laverton, however virtually all this warming occurred in the late 1940s, the trend since 1950 has been flat).
There are a few presentational errors: various spellings of “phenological” and “effect” and “affect”, “Nymphalidae” spelt incorrectly, Fig 1 could be presented more clearly.
Referee: 2
Comments to the Author(s)
In the short intro, the author writes twice “phonological changes”. I guess that would be “phenological changes”? (MH based on this I take it that Ref 2 was generally happy with the manuscript)
Referee: 3
Comments to the Author(s)
The author makes some relevant and potentially relevant points in his comment on Kearney et al., (MH-my bold) but this manuscript does not bring this criticism in a sound way, as it stands. It needs major revision before it may become acceptable for publication.
1) Point 1 – Hendrickx is criticizing the use of opportunistically collected data. Kearny et al have made the assumption that there is no obvious bias in these data. So, here the author should more convincingly show that there is indeed bias that may impact on the conclusions. It is not enough mentioning the opportunistic nature of the data. This point needs more work. (MH-again any references that demonstrate effect of other influences on emergence appreciated)
2) Point 2 –CO2: that may be a valid issue that has not been considered as an alternative (or interaction) effect by Kearney. Another relevant paper would be Mevi-Schultz et al. 2003. behave Ecol Sociobiol 54: 36-43 (MH-this appears to be generally supportive of my point 2).
3) Point 3: I don’t get this point. How can you distinguish between urbanization and an increase in greenhouse gasses per se? What would be the direct and the indirect effects of urbanization for the system considered. Again, the author is not making his point in a clear way (MH-I would have thought the comparison between the three stations clearly demonstrates a UHI effect over the Melbourne region).

240K for something so sloppy and with NO real data? laverton Rural:-) ha ha ha.
the Bogong moths emergence is entirely dependant on the rains coming, some weeks ago the airpressure dropped, it semed like it would rain, a few hatched, but not all, a weekafter that we got a decent rain and many more appeared, I stood in the yard and listened to them whirring up from the ground, same as I do when the dung beetles emerge, its fun, like a natural dodgem cars, whizz whoosh.
I know when the ground temps is round 11 or 12C the stinging nettles appear with or without the rains. then its time to plant winter vegies.
Annei (08:18:05) :
“Laverton rural?! I wanted to fall about laughing when I read that. I first lived in Melbourne in 1984. It has grown hugely since then. Laverton is out near Altona and by the Prince’s Freeway to Geelong. Don’t tell me that the huge sprawl of Melbourne and the increasing use of cars and air-conditioners hasn’t had an effect on local temperatures.”
Based on what I am being told above, in different comments, it is very
plausible that Laverton should indeed be labeled suburban. But then
there is the question about (1) the local environment of the station
itself, (2) how suburban translates into UHI?
For a very large city (London, New York) the UHI effect would yield 1.5
to 2.0 C consistently higher mean temp compared to nearby rural areas.
Looking at MH’s graphs the difference between Melbourne and Laverton
is of that magnitude, which kind of suggests that the UHI effect is spent
when we reach Laverton, starting from the centre?
Also, since the trends in both stations are so similar: it would suggest
some larger scale influence working in both areas; that would be
global warming, the VIctoria variant of it.
If UHI was important in Laverdon area the recent urbanization surge
would produce a different looking trend than Melbourne centre, which
is a settled urban environment.
So why did they get their temperature data from GISS.
Here’s what The Australian BoM data says for the mean temp from april – october for Laverton Airbase – 87031
http://tinyurl.com/2bvqo9p
Response to Marc Hendrickx
Some links, issue nos, doi and suggestions to request for info “Early emergence in a butterfly causally linked to anthropogenic warming”
Please advise how to attach pdfs.
1. Australian Bureau of Statistics (ABS) easily avail, however historical census data will depend on adjusting for collection districts (geographical or electoral boundaries) eg http://www.abs.gov.au/AUSSTATS/abs@ur momisugly.nsf/Lookup/3105.0.65.001Explanatory%20Notes12008?OpenDocument
2. Bezemer, T. M., & Jones, T. H. 1998 Plant–insect herbivore interactions in elevated atmospheric CO2: quantitative analyses and guild effects. Oikos 82, 212–222 avail JSTOR (as pre-2000) ? cost
3. Catrice D (1997) http://www.parkweb.vic.gov.au/resources/22_2131.pdf
(http://www.parkweb.vic.gov.au/1process.cfm?publication=22 ) NOT Dept Natural Resource and Environment, which was disbanded in 2002 http://www.nre.vic.gov.au/
4. Cortrufo (1998) V4(1) avail here http://www3.interscience.wiley.com/journal/117991450/toc
doi 10.1046/j.1365-2486.1998.00101.x
5. GISMO – did not check link
6. Goverde, M., Erhardt, A., & Niklaus P. A. (2002) In situ development of a satyrid butterfly on calcareous grassland exposed to elevated carbon dioxide. Ecology 83(5), 1399-1411 (pdf avail please advise)
7. Jones, P. D., Lister, D. H., and Li Q. (2008), Urbanization effects in large-scale temperature records, with an emphasis on China, J. Geophys. Res., 113, D16122, doi:10.1029/2008JD009916
http://www.agu.org/ (pdf avail please advise)
8. Kearney – did not check
9. Kobayashi Takato and Kitahara Masahiko
http://lepi-jp.org/index_e_publication.htm
requests by e-mail: info@ur momisuglylepi-jp.org
10. Penuelas, J (1998) V13(1) doi:10.1016/S0169-5347(97)01235-4
http://www.cell.com/trends/ecology-evolution/archive?year=1998
selecting pdf will take you to Sciencedirect where option for payment ($31.50) or abstract.
11. Slansky http://www.cababstractsplus.org/abstracts/Abstract.aspx?AcNo=19961101717 (no further search done)
12. Watt p197-217 – in book Harrington, ‘Insects in a Changing Environment’ (cost UK144 Amazon)
Insects in a Changing Environment: 17th Symposium of the Royal Entomological Society 7-10 September 1993 at Rothamsted Experimental Station, Harpend. Could request pges? info@ur momisuglyroyensoc.co.uk
Melbourne have had water restrictions through the drought and lawns were let go. Also increasing development means denser living, housing units and paved surfaces replacing the half acre property with its front and back yard grass areas. We are being encouraged to plant indigent plants that need less water. Good rain this year has seen the greening of our parkland and paddocks and my lawn.
Folks, it seems like people didn’t notice my post above, but I will repeat the conclusion. There is no statistically significant correlation between the two variables (emergence time and temperature).
As a result, the study is meaningless.
Willis Eschenbach, “As a result, the study is meaningless.” MInd if I borrow your statistical analysis for the re-write? (With due credit of course).
MH
@Willis Eschenbach,
Your data (n = 13) are not consistent with Figure 1 (n = 14). You left out 1940. [snip]
@Marc Hendrickx,
One killer regression would be more effective than your dozen citations. Get your hands on some data for your alternative causes and show that they provide a superior explanation for–not just obfuscating doubt about–the patterns that Kearyney at al. observed.
MarcH (18:37:13) : edit
That’s why I posted it …
I am very curious about why they have binned their data into five-year blocks … I’d love to see the original data if you can get hold of it. But as it stands (5-year blocks), it’s not significant.
I digitized the data, as is my custom when the !@ur momisugly#$%^ authors don’t archive it … the battle for archiving data continues.
Best of luck, let us know the outcome.
w.
Not Surprised (21:02:47)
Had to leave out the 1940 emergence, because there’s no temperature data for 1940.
And you can bet that their trend in emergence dates is as dubious as everything else.
I’ll leave the science to other posters, but about Karoly I know quite a bit — most notably that is a shameless opportunist who will leap on any cause if it can further his warmist ends.
The horrific bushfires we had here in Victoria in Feb, 2009, are the perfect example. The fires were still burning and very few of the 173 victims had been identified when Karoly sprang to the lectern to announce that the fires were, you guessed it, the doing of global warming. This suited the state government to a tee, as its entire patronage-soaked cadre of incompetents running the civil emergency system were asleep at the wheel (as a subsequent royal commission into the fires has established).
Karoly is a pseudo-science emu. you know, those large, flightless birds that must forever be stooping over on their long legs to get the next meal. Well, nothing is too low for this man to embrace if it contributes to his (running) tally of $21 million in climate change grants.
Willis/MarkH
I may have misunderstood; but the April-Oct average temperature data they display in (1b) is not the explanatory variable in their prediction vs observations graph (1a),
I would imagine that they have either used multivariate regression, perhaps with individual monthly data or they could have used a process model using perhaps monthly/weekly/daily data. So just because there isnt a significant correlation between the average temperatures and the observations does not mean that this part of their hypothesis is broken.
Having said that , I didnt find that their predictions were related to the observations at 5% .
Without a copy of the paper, we are groping around in the dark.
Sorry try again; the april-oct average temperature we are looking at is not used in a simple way to generate their predictions.
see Warwick Hughes comments on this along with some interesting figures of Melbourne UHI at:
http://www.warwickhughes.com/blog/?p=539#comments
Someones sniffing for a grant, guess you don’t get much money studying insects. Now elephants theres a grant maker.
Richard Telford,
Calculating confidence intervals with 3 data points (or 14 as in the graphs to which I was referring) is a meaningless exercise due to the fact that your error factors would be huge relative to your result and have no meaning. Technically correct statistics are not necessarily meaningfull or usefull in prediction. Might as well stretch a rubber band in whatever direction you please as opposed to trying to do a regression line. An R2 explaining 30% of the variation in the dependent variable plus or minus 50% is of no use what-so-ever. And, as I said, not only is sample size error a factor but the first caution in any classical statistical analysis is to always beware of implied cause and effect, which is the main flaw in AGW as it is all based upon implied C&E, aside from the fudged data they have used (sampling “error”). The above are probably reasons why the greenies simply use doctored graphs of doctored data and computer models with garbage in giving garbage out.
@Willis,
Fair enough; I didn’t notice that there were fewer data points for the (easier to get) mean temperatures than for the (harder to get) times of emergence. Also, they note in the paper that they “used the earliest observed record within 5-year intervals from 1941–2005 as the emergence date”, so yearly emergence data could probably be requested. My guess is that they didn’t want to clutter an already very busy figure with five times as many points, when all of the analyses they present are significant even when binned.
Also, belated thanks for digitizing the data so that we have something tangible to talk about. Now that I understand what data you’re using, the regressions you ran seem fine.
However, I don’t think that they exhibit a “fatal flaw” in the paper. I wrote a short program in R (http://gist.github.com/379985) that generates data that resembles the data in Figure 1 in its error and comes from a process where one variable depends linearly on the other. Under the binning process they use, linear regression (and the more appropriate nonparametric rank correlation tests) produces a significant result less than half of the time. Using the unbinned tests produces a significant result nearly certainly.
Since we have no reason to think that the underlying relation between emergence time and average temperature is linear, this strengthens the evidence that the tests you run are underpowered for the binned data. In other words, even if nature works exactly as Kearney et al. think it does, we wouldn’t expect p < 0.05 from your analyses.
Not Surprised (15:04:23) : edit
My point is that they are not significant when binned …
More than welcome, having the data is a good thing.
Nice program. However, you have assumed that one variable depends linearly on the other … isn’t that begging the question? I mean, if it all depends on how strong the correlation between the two might be.
Also, the Monte Carlo analysis that you are using is quite sensitive to the assumption of the size of the standard deviation. Using a test based on a minor change in your R program, where one variable depends only weakly on the other and a reasonable standard deviation (one which gives an spread similar to that of the data), the raw data does not do much better than the binned.
Which is why we need to see the data … speaking of which, I thought I had posted the predicted and observed data, but I see that I didn’t, so here it is:
Year, Predicted, Observed
1945, 11.62, 11.53
1950, 11.43, 11.61
1955, 11.52, 11.28
1960, 11.37, 11.64
1965, 11.38, 11.38
1970, 11.38, 11.51
1975, 11.34, 11.22
1980, 11.3, 11.43
1985, 11.4, 11.35
1990, 11.39, 11.21
1995, 11.41, 10.97
2000, 11.33, 11.36
2005, 11.12, 11.3
It’s true that binned does worse than unbinned … but without the data, we can’t say.
My main problem with the study, however, is that it makes a huge assumption. Here’s their abstract:
Their logic runs like this:
1. Butterflies are maturing earlier in response to warming.
2. Climate models predict anthropogenic warming.
3. Therefore, we have “firm attribution” of changes in butterfly emergence to anthropoid-caused overheating …
Yeah, science at its best, assume what you are trying to prove, then claim it’s proven …
Willis,
Your 1,2,3 is right on and even beyond the “beware of assumed cause and effect” which must always be avoided in regression analysis, as you have pointed out correctly that the study first assumes the cause exists at all, then assumes cause and effect for the insects. A double assumption!! Wow, what a country.
Robert Kral says:
April 23, 2010 at 10:39 pm
“Having a background in entomology, I can say that cumulative degree-days is a critical factor in development. That is, the accumulated product of temperature and time is highly correlated with developmental and emergence events. ”
Reviewer 1’s objection:
“For the criticisms in the current ms to be supported, the author should present some evidence that this species or others are shifting their phenology related to some of the other factors suggested, or some evidence that in fact the data does not support a shift in phenology.”
This is dangerously close to argumentum ad ignorantium. A favourite tactic of political pseudo science, e.g. “prove to us that CO2 is NOT causing warming” or (a few cneturies earlier) “prove to the rest of the village you are NOT a witch!”
The “other factor” that reviewer 1 seeks could be found in an interaction between points 1 and 3 of Marc Hendrickx.
Point 1: data were opportunistically collected by people
Point 3: Urban weather stations measured a temperature rise, rural did not. Thus the rise was UHI.
Cities are where people are. Thus the opportunistic collection of data by people will inevitably be strongly biased toward urban or near-urban sites. We know that the city of Melbourne, within its expanding boundary, was getting warmer (from the three stations, two urban, one rural), and that as Robert Kral points out, cumulative degree days will influence date of emergence. The result is an inevitable effect on Butterfly emergence related to increasing temperatures around Melbourne.
But politics spins the interpretation. It is spun as evidence of global warming and its effect on butterflies. But it would more correctly be a paper providing evidence of the urban heat island effect, with the Brown Butterfly serving as a biomarker.
To Marc H.
I have followed this topic with great interest because I live in Melbourne. In addition to the issues already raised by yourself and the many posters, there is one more critical issue that should be put forward, which you may be able to use to prove the fundamental weakness in the logic that you have been after. However, is the blog still open for comment, and are you still pursuing the subject with a view to having a critical review published on Biol.Letters or elsewhere?
Roy,
I sent Biology Letters an email today asking how to submit a reply as an E-letter. I am planning to focus my criticism on claims that warming is due to greenhouse gases, rather than UHI effect. This will take a little longer than the few days I invested initially. If you have anything to add it would be appreciated.
cheers
Marc
MarcH.
In the comment you submitted to Biology Letters your first point was that the absence of data surrounding the observed emergence dates left open the possibility of confounding influences other than temperature affecting the analysis. I concur with you and the many posters that the unavailability of data is a serious flaw in the presentation, and one that we may hope to get addressed in time. However, after a lot of analysis and deliberation I have concluded that the observations taken from the Museum records and those of Kelvyn L. Dunn do in fact point to temperature as the primary determinant of emergence dates, and that the influence of other factors must be relatively minor. There is a reasonable presumption, but still only a presumption, that the selected samples came from outside the areas known to be affected by the Melbourne UHI. What follows is an analysis of the data below, taken from Figures 1a.) & 1b.) in the Kearney et al. paper. (Willis Eschenbach hovered around the same area in his April 24th. post. I note that some of his data was a bit mixed up, presumably a transcription error.)
Emergence time: Mean
Observed Predicted Temperature
Period Time Month Month Deg. C
1 1940 11.53
2 1945 11.63 11.62 11.13
3 1950 11.44 11.28 11.14
4 1955 11.53 11.67 11.37
5 1960 11.36 11.38 11.26
6 1965 11.37 11.58 11.73
7 1970 11.38 11.23 11.30
8 1975 11.35 11.44 11.64
9 1980 11.31 11.35 11.65
10 1985 11.41 11.22 11.58
11 1990 11.39 10.97 11.87
12 1995 11.41 11.37 11.66
13 2000 11.33 11.40 11.66
14 2005 11.13 11.24 12.28
I apologize for this being descriptive, but I have not yet found clear instructions as to upload the charts. I may put them up in a pdf file on my web site later.
1.) The linear regression line on the plot of all observed emergence dates vs. the time period does show the claimed trend in emergence times. But if only the points from 1960 to 2000 are taken, covering effectively forty five years, they all fall in a band within a range of only 0.1 mo., or three days, and the trend is actually towards slightly later emergence times. The laboratory tests on species development time quantified the inverse relationship to temperature for this species, a result that appears sound and should relate well to actual behavior in the host micro-climates in the field. Thus if we find that observed dates of emergence did not change, the implication is that the temperatures in the environment also did not change. That finding is consistent with the temperatures observed at Durdidwarrah and the very few places within the survey area that have enough published data to cover a sufficient part of the 1960-2000 period. In short, we can conclude that within the 1960-2000 period there is no trend that could be indicative of warming across the region. The butterflies tell us so.
2.) A period-by-period scan of the emergence observations within the 1960-2000 period reveals that they were affected by concurrent temperature variations. e.g., the warm dry spell that preceded the 1983 Ash Wednesday bushfires, the cooler period that followed, and another cooler period around 1995. The early emergence in the 2000 box reflects the higher temperatures that followed the severe El Nino event in 1996/7, and the beginning of an extended drought, accompanied by higher than average temperatures, that has eased only in the last couple of years. Then the very early emergence in the 2005 box appears concurrently with a recent rapid and sustained increase in temperatures in all rural sites across the state of Victoria, characteristic of similar periods that occurred well before the start of the 1945-2010 time frame covered in the Kearney et al. letter. It may or may not be an indication of long term warming trend; it is too early to tell. The early emergence in the 2005 box is therefore consistent with the recent very warm and dry period, during which the H. merope host grasses have also experienced considerable environmental stress due to severe cumulative rainfall deficit.
3.) I had personal experience of the 1950 and 1955 box periods as being unusually cold and wet. This is confirmed by the temperature records both within the study area and within a couple of hundred kilometers around. It is quite evident in the temperature graphs include in your comments. Also, throughout last century the rainfall across the study area increased and decreased in a cyclic pattern of about eighteen years duration, with fairly consistent highs and lows, but the rainfall in the 1950 and 1955 boxes was significantly higher than any other peak within a hundred year period, accompanied as noted above by lower than normal temperatures. The late emergence times observed are therefore consistent with the prevailing weather conditions at the time.
4.) The late emergence times in 1945 have no obvious explanation from the known data. It is here that the lack of specific site data is particularly vexing. I might hazard a conjecture that it reflects a lack of reliable data, bearing in mind that it spans the end of the WWII period, when observations were most likely sparse and less well recorded.
5.) As regards the prediction of emergence dates, a plot covering all thirteen periods of the actual date of emergence vs. the predicted dates shows a very wide scatter of points, and a linear trend line completely different from the expected 1:1 correspondence. My plot yields an R^2 value of only 0.215. One would expect a smooth line of some sort, but this is completely lacking. Therefore, as I understand it, the claimed link between the projection derived from temperature and emergence times in not valid. Willis E. demonstrated a similar finding from his analysis of observed emergence times vs. temperature.
6.) That the temperature data for Laverton trends upwards when comparable data from rural sites does not is a pretty sure indication that it is partly affected by the UHI effect. I agree with the many posters who have questioned how it can be classified as quality rural site, but just how that solidly held position can be moved is a real imponderable.
7.) The purpose of the computer modeling of the temperature rise due primarily to CO2 was to provide a comparison to the claimed temperature rise in the study area. At the moment I do not have to put my own assessment of modeling Per Se, or the it’s relevance to this study.
I trust that some of this may be of use to you.
MarcH.
The columns in the post just submitted got scrambled in transmission.
The column headings should be:-
First – Period
Second – Time
Third – Emergence time, observed – Month
Fourth – Emergence time predicted – Month
Fifth – Mean Temperature – Deg. C
The 11.53 on 1940 row should be in the predicted emergence column.