Published May 21, 2023 | Version v1
Dataset Open

Mismatches between phenotype and environment shape fitness at hyperlocal scales (Agama atra)

Authors/Creators

  • 1. Stellenbosch University

Description

In the era of human-driven climate change, understanding whether behavioural buffering of temperature change is linked with organismal fitness is essential. According to the "cost-benefit" model of thermoregulation, animals that live in environments with high frequencies of favourable thermal microclimates should incur lower thermoregulatory costs, thermoregulate more efficiently and shunt the associated savings in time and energy towards other vital tasks such as feeding, territory defence, and mate acquisition, increasing fitness. Here, we explore how thermal landscapes at the scale of individual territories, physiological performance, and behaviour interact and shape fitness in the southern rock agama lizard (Agama atra). We integrated laboratory assays of whole organism performance with behavioural observations in the field, fine-scale estimates of environmental temperature, and paternity assignment of offspring to test whether fitness is predicted by territory thermal quality (i.e., the number of hours that operative temperatures in a territory fall within individual's performance breadth). Male lizards that occupied territories of low thermal quality spent more time behaviourally compensating for suboptimal temperatures and displayed less. Further, display rate was positively associated with lizard fitness, suggesting that there is an opportunity cost to engaging in thermoregulatory behaviour that will increase as climate change progresses.  

Notes

Funding provided by: National Research Foundation (NRF) of South Africa*
Crossref Funder Registry ID:
Award Number:

Funding provided by: National Science Foundation
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001
Award Number: Postdoctoral Fellowship

Files

Field_behaviour_offspring_number.csv

Files (2.0 MB)

Name Size Download all
md5:2790691024252147fbd5666133347048
31.5 kB Download
md5:7607c08b131c5ee52761ee2e26edb82c
750.6 kB Download
md5:71774f757e05a26f570c44a8a2569d07
556.0 kB Download
md5:4aaf868bea2ae3ffb57afb8937bbba30
5.7 kB Preview Download
md5:2870ed0b51e675f79ef37bcc56e88560
87.4 kB Download
md5:b1015e7ea16a299b296e4ccc722ba223
27.1 kB Download
md5:3f29d6aaa4cf37cf0ee7985d054571b4
29.0 kB Download
md5:a17ce2e7d8f5b15a69507d6ef2b604c9
7.5 kB Preview Download
md5:00b4f967af8ffb3eed0397afbff0dd9b
26.1 kB Download
md5:64b2174356d5a0a70440aa76d6a8211d
8.3 kB Preview Download
md5:9e4e6bb65c67955d8bdc118ec6c6548b
255.7 kB Preview Download
md5:f0f14f4af57980a75f8622fa74360589
81.8 kB Preview Download
md5:7cb2fa20fdf319f9fe3aa92ad20d1762
46.3 kB Preview Download
md5:1ba81769527823edb1c811fefb324d97
10.3 kB Preview Download
md5:624ce288a87f88eb7127ed3a5af9b705
20.9 kB Download
md5:7c95aa1ffe386b031f3276bca962a80e
2.7 kB Preview Download
md5:3a6896dafe90c10c4030a0b02b0906af
2.3 kB Preview Download
md5:96a5beb870eebb0120be37bff81971b8
16.6 kB Download