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Article

Altitudinal Variation of Limb Size of a High-Altitude Frog

1
School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China
2
Anhui Province Wildlife Disease Surveillance and Monitoring Station, Hefei 230000, China
*
Author to whom correspondence should be addressed.
Diversity 2025, 17(2), 80; https://doi.org/10.3390/d17020080
Submission received: 5 January 2025 / Revised: 16 January 2025 / Accepted: 16 January 2025 / Published: 22 January 2025

Abstract

:
Geographical variation in morphological traits represents a significant ecological phenomenon. According to Allen’s rule, animals inhabiting cooler environments typically exhibit shorter extremities compared to those in warmer regions. While Allen’s rule has been extensively validated along latitudinal gradients, its applicability to altitudinal variation in morphological traits remains less well understood. In this study, we analyzed morphological data—including forelimb length and hindlimb length—from 492 individuals of Rana kukunoris from 26 populations to assess whether relative limb size in both sexes declines with altitude, aligning with Allen’s rule. However, this pattern exhibited geographical regional variation. In the northern and central regions, relative limb length consistently followed the predictions of Allen’s rule. In contrast, the southern region showed no significant altitudinal variation in limb proportions. These results highlight that the applicability of Allen’s rule may be modulated by regional environmental factors and altitude vertical differences, underscoring the need for a nuanced understanding of how local contexts influence morphological adaptations.

1. Introduction

Geographic variation in the morphological characteristics of animals is a widespread natural phenomenon to observe, influenced by the pressures of natural and sexual selection [1,2,3,4]. Environmental factors, such as altitude and latitude, serve as significant selective pressures that shape the morphological traits of animals [5,6,7]. To enhance their survival and optimize fitness, animals must adapt to their habitats through diverse strategies that encompass morphological variation [8,9,10]. Therefore, investigating geographic variation in morphological traits is crucial for understanding the environmental adaptability of organisms [11].
Two well-established biogeographical principles regarding morphological trait variation—Bergmann’s rule and Allen’s rule—have been recognized in the literature [12,13]. Bergmann’s rule addresses geographic variation in body size among populations of endothermic animals [14,15,16], positing that individuals in colder environments tend to exhibit larger body sizes compared to those in warmer climates. Similarly, Allen’s rule relates body part proportions to climate, with a particular focus on limb length in mammals [17]. This rule states that mammals in cold climates tend to have shorter appendages, including ears, tails, and limbs, compared to their counterparts in warmer climates, which aids in minimizing heat loss and conserving body heat in cold environments [18,19]. Both rules suggest that in colder regions, animals can maintain their body temperature by reducing the surface area-to-volume ratio [20]. While Bergmann’s rule has been extensively studied across various taxa, research on Allen’s rule remains relatively scarce [21,22,23,24,25]. To date, the validation of Allen’s rule has primarily focused on latitude [17,19,26], whereas the evaluation of altitudinal variation in appendage size has been less comprehensive [15,27]. Furthermore, the applicability of Allen’s rule to ectothermic species, particularly amphibians, remains to be validated within the context of altitude gradients [26,28,29,30]. Consequently, it is essential to select appropriate model species to investigate these issues.
Rana kukunoris, a high-altitude frog endemic to the Qinghai-Tibetan Plateau, ranges in altitude from 2000 to 4400 m [31], which is listed as least concern in the IUCN red list of threatened species [32]. Previous research on amphibians has primarily focused on life history traits and genetic differences [33,34,35]. Studies on morphological variation have mainly examined the geographical gradient in body size [31,36,37], while investigations into the geographic variation of relative limb size remain scarce [38,39]. The significant altitudinal differences across its distribution make R. kukunoris an excellent model for studying altitudinal variation in limb length and provide a valuable opportunity to test Allen’s rule. Previous studies have shown that there is a debate regarding the altitudinal variation in limb size of this species [38,39]. Therefore, it is necessary to test the hypothesis using this species across its entire distribution region.
In this study, we collected morphological data from 492 individuals of R. kukunoris across 26 populations from three regions to investigate the altitudinal variation in morphological characteristics (forelimb length and hindlimb length) along altitudinal gradients. Specifically, our objectives were to: (1) examine the altitudinal variation of relative limb size among different geographic populations; (2) assess the applicability of Allen’s rule at an altitudinal scale; and (3) explore potential regional and sexual differences in the application of Allen’s rule. This study will enhance our understanding of the adaptive potential of R. kukunoris in response to environmental changes through morphological variations.

2. Materials and Methods

2.1. Sampling Collection

We collected a total of 492 individuals (300 males and 192 females) from 26 populations across three regions, encompassing the entire distribution range of the species, between early March and late August 2023 (Figure 1, Supplementary Materials: Table S1 and Figure S1). Frogs were identified as sexually mature males based on the presence of nuptial pads on their foredigits, and as sexually mature females when they exhibited well-developed oocytes [33]. Upon completion of all experiments, all individuals were released at the same site where they were captured.

2.2. Data Acquisition

Morphometric measurements, encompassing body size (snout-vent length, SVL), right forelimb length (lower arm and hand length, LAHL), and right hindlimb length (the sum of thigh, tibia, tarsus, and foot lengths, HILL), were recorded for each individual using digital calipers with an accuracy of 0.01 mm. Previous research has shown a positive correlation between body size and age in R. kukunoris [31,40]. In our study, we opted not to determine individual ages through skeletochronology to minimize harm to the species. Instead, we utilized body length as a proxy indicator of age to control for the effect of age on limb length.

2.3. Statistical Analysis

To investigate the presence of altitudinal differences in LAHL (or HILL), we employed linear mixed models (LMMs) with LAHL (or HILL) as separate dependent variables. In these models, sex was treated as a fixed factor, SVL as a covariate to correct for the effect of age, and altitude as a covariate to test for the altitudinal effect on relative limb length. Geographic region was included as a random factor. Furthermore, we incorporated the interaction effects of altitude and sex into the model. To improve the parameter estimation accuracy and reliability of hypothesis testing, we utilized REML estimation for random effects and the Satterthwaite procedure to approximate the degrees of freedom [33]. Additionally, we conducted a separate linear regression analysis (LRA) to investigate the relationship between altitude and morphological traits (LAHL and HILL) for each region. The structure was consistent, with LAHL and/or HILL as dependent variables, sex as a fixed factor, and SVL and altitude as covariates, including the interaction effects of altitude and sex.
Before conducting the analyses, all data, including altitude, LAHL, HILL, and SVL, were log-transformed. We then fitted linear mixed models using the ‘lmer’ function installed in R (version 4.2.2). In this study, all probabilities were two-tailed, and values are reported as the mean ± standard deviation (mean ± SD).

3. Results

Overall, the relative limb length of males and females decreased with the increase of altitude gradients (LAHL/SVL: B = −0.087, t = −4.352; df = 405.6, p < 0.001; HILL/SVL: B = −0.096, t = −5.956; df = 411.6, p < 0.001). The change in forelimb length (B = −0.071, t = −0.317; df = 485.2, p = 0.751) and hindlimb length (B = −0.069, t = −0.376; df = 485.1, p = 0.707) between males and females was similar as altitude increased, and the interactive effect of altitude and sex was insignificant (both p > 0.8, Figure 2, Table 1).
Except for the southern region (LAHL/SVL: B = −0.194, t = −1.029, p = 0.306; HILL/SVL: B = 0.0204, t = 1.396, p = 0.166), the other two regions showed that the relative limb length of males and females decreased with the increase of altitude gradients (northern region: LAHL/SVL: B = −0.242, t = −3.473, p < 0.001; HILL/SVL: B = −0.134, t = −2.993, p = 0.003; central region: LAHL/SVL: B = −0.0.084, t = −3.831, p < 0.001; HILL/SVL: B = −0.094, t = −4.616, p < 0.001). For these three regions, the change in limb length was similar between males and females as altitude increased, and we also found that the interactive effect of altitude and sex was not obvious (both p > 0.4, Table 2).

4. Discussion

Our findings revealed that R. kukunoris generally exhibit shorter relative appendages in high-altitude settings, which is consistent with Allen’s rule. However, this pattern was not uniform across the three geographical regions studied. In the northern and central regions, both males and females showed a significant reduction in relative limb lengths as altitude increased. Conversely, in the southern populations, no significant correlation was found between relative limb length and altitude. Simultaneously, we discovered that there were no sexual differences in the altitudinal variation of relative limb size.
Allen’s rule states that the appendages (including limbs, ears, tails, and snouts) of endothermic creatures are typically longer and more slender in warmer climates [12]. This rule has been widely validated in many mammals and birds, often manifesting as geographic variation in the size of body appendages along latitudinal or altitudinal gradients [24,41,42,43]. However, its applicability to ectothermic amphibians remains controversial [24,25,26,28,38,39]. For instance, Escalona et al. (2024) found that Neotropical treefrogs showed no significant reduction in relative limb length with decreasing environmental temperatures [28]. Moreover, Alho et al. (2011) found that Rana temporaria also failed to confirm this simple prediction as they found that there was insignificant linear latitudinal relationship in the appendages lengths [26]. The research results from Leung et al. (2021) demonstrated a significant decrease extremities of R. kukunoris with increasing elevation and thus supported Allen’s rule [38]. However, Yang et al. (2024) observed a converse altitudinal cline for R. kukunoris as they found an increasing forelimb length as altitude increased [39]. Here we found a positive relationship between limb length and altitude, aligning with the findings of Leung et al. and supporting Allen’s rule [38]. This relationship is likely closely linked to thermoregulatory benefits, as such morphological changes represent an adaptive evolutionary response aimed at minimizing surface area to reduce heat loss, thereby aiding in maintaining body temperature in cold environments [38,44].
Interestingly, our results generally supported Allen’s rule, as limb size decreased in colder climates [12]. However, the altitudinal cline of limb size showed regional differences. In the northern and central regions, the relative limb size of both males and females exhibited a significant negative correlation with altitude, whereas no such trend was observed in the southern region. A possible explanation for these differences may relate to the magnitude of vertical altitudinal variation of each region. The northern region spans an altitude difference of approximately 1000 m, while the central region covers a range of around 2000 m. In contrast, the southern region exhibits only a narrow altitudinal gradient of 500 m. Leung et al. (2021) also observed a significant decrease extremities of R. kukunoris with altitudinal difference of 1600 m across ten populations [38], a sampling site similar to the central population in our study. In the southern region, with an altitudinal difference of only 500 m, the relatively uniform environmental conditions may fail to reach the (altitudinal and/or temperature) threshold required to induce significant changes in limb proportions. Thus, the observed differences among these regions may arise from the magnitude difference of variations in altitudinal and environmental factors [38]. Nonetheless, these hypotheses remain speculative and require further investigation for validation.
Allen’s rule, derived from empirical generalizations across numerous animal taxa [14,17,45,46], often has exceptions but exhibits variable applicability to amphibians [28,47]. In this study, our findings supported Allen’s rule, as R. kukunoris tends to have shorter relative appendages in high-altitude environments. Unlike the results of Yang et al., who found sexual differences in the altitudinal variation of relative forelimb length of R. kukunoris [39], we did not observe sexual differences in the altitudinal variation of relative limb size of this species. Additionally, we observed potential regional disparities in morphological characteristics. Future research on the altitudinal patterns of morphological variation should broaden the sampling areas and thoroughly account for regional environmental differences, while also controlling for confounding factors such as latitudinal and longitudinal variations.
Overall, we measured the forelimb and hindlimb lengths of 492 R. kukunoris individuals from 26 populations and found that relative limb length decreased with increasing altitude, corroborating Allen’s rule. To gain deeper insights into the adaptive responses of R. kukunoris to varying environmental conditions, future research should explore the molecular mechanisms underlying the geographical variations in these morphological traits.

Supplementary Materials

The following supporting information can be downloaded at: www.mdpi.com/10.3390/d17020080/s1, Table S1: Summary of sampling sites and sample details and Figure S1: photos of specimens from each region in this study.

Author Contributions

Conceptualization, W.C. and X.L.; methodology, X.L.; software, X.L.; formal analysis, X.L. and W.C.; investigation, X.L., Y.W., H.C. and H.X.; data curation, H.C., Y.W. and H.X.; writing—original draft preparation, X.L.; writing—review and editing, X.L., W.C., H.L. and S.L.; visualization, X.L.; supervision, W.C., H.L. and S.L.; project administration, W.C.; funding acquisition, W.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China, grant number no.32270457.

Institutional Review Board Statement

The authors confirmed that this study based on the The Animal Ethics Committee at Anhui University permitted this experiments (IACUC(AHU)-2022-007).

Data Availability Statement

All data and codes were be available at https://www.mdpi.com/.

Acknowledgments

We extend our gratitude to Haifen Qin, Zhenkun Zhao, Jiahong Liao, Min Tang, and Jiahong Liao for their field assistance.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
SVLSnout-vent length
LAHLLower arm and hand length
HILLThe sum of thigh, tibia, tarsus, and foot lengths
SDStandard deviation
SEStandard error
dfDegree of freedom

References

  1. Xu, O.; Gao, J.; Xie, M.; Liu, B.; Zhou, L.; Chen, B.-J.; Jourdan, J.; Riesch, R.; Plath, M. Natural and sexual selection drive multivariate phenotypic divergence along climatic gradients in an invasive fish. Sci. Rep. 2018, 8, 11164. [Google Scholar]
  2. Sheard, C.; Neate-Clegg, M.H.C.; Alioravainen, N.; Jones, S.E.I.; Vincent, C.; MacGregor, H.E.A.; Bregman, T.P.; Claramunt, S.; Tobias, J.A. Ecological drivers of global gradients in avian dispersal inferred from wing morphology. Nat. Commun. 2020, 11, 2463. [Google Scholar] [CrossRef] [PubMed]
  3. Ryding, S.; Klaassen, M.; Tattersall, G.J.; Gardner, J.L.; Symonds, M.R.E. Shape-shifting: Changing animal morphologies as a response to climatic warming. Trends Ecol. Evol. 2021, 36, 1036–1048. [Google Scholar] [CrossRef] [PubMed]
  4. Sacchi, R.; Mangiacotti, M.; Scali, S.; Storniolo, F.; Zuffi, M.A.L. Species-specific spatial patterns of variation in sexual dimorphism by two lizards settled in the same geographic context. Animals 2023, 13, 736. [Google Scholar] [CrossRef] [PubMed]
  5. Diaz, A.; Bautista, E.; McCracken, K.G. Geographic variation in body size and hematology of the slate-colored coot (Fulica ardesiaca) along the Andes of Peru. Waterbirds 2023, 46, 146–160. [Google Scholar] [CrossRef]
  6. Krasnov, B.R.; Surkova, E.N.; Shenbrot, G.; Khokhlova, I.S. Latitudinal gradients in body size and sexual size dimorphism in fleas: Males drive Bergmann’s pattern. Integr. Zool. 2023, 18, 414–426. [Google Scholar] [CrossRef]
  7. Lozano-Morales, L.V.; Gutiérrez-García, A.A.; Salamanca, L.; Barreto-Triana, N.; Sarmiento, C.E. Altitude is correlated with body size differences among Cotesia flavipes (Hymenoptera: Braconidae) wasps collected in two mountain ranges. Zoology 2024, 166, 126197. [Google Scholar] [CrossRef]
  8. Hugentobler, S.A.; Sturrock, A.M.; Willmes, M.; Thompson, T.Q.; Johnson, R.C.; Cordoleani, F.; Stauffer-Olsen, N.J.; Whitman, G.; Meek, M.H. Remnant salmon life history diversity rediscovered in a highly compressed habitat. Evol. Appl. 2024, 17, e13741. [Google Scholar] [CrossRef]
  9. Ibáñez-Álamo, J.D.; Soler, M. Does urbanization affect selective pressures and life-history strategies in the common blackbird (Turdus merula L.)? Biol. J. Linn. Soc. 2010, 101, 759–766. [Google Scholar] [CrossRef]
  10. Jiguet, F.; Gadot, A.-S.; Julliard, R.; Newson, S.E.; Couvet, D. Climate envelope, life history traits and the resilience of birds facing global change. Glob. Change Biol. 2007, 13, 1672–1684. [Google Scholar] [CrossRef]
  11. Kaliontzopoulou, A.; Pinho, C.; Martínez-Freiría, F. Where does diversity come from? Linking geographical patterns of morphological, genetic, and environmental variation in wall lizards. BMC Ecol. Evol. 2018, 18, 124. [Google Scholar] [CrossRef]
  12. Allen, J.A. The influence of physical conditions in the genesis of species. Radic. Rev. 1877, 1, 108–140. [Google Scholar]
  13. Bergmann, C. Über die Verhältnisse der Wärmeökonomie der Thiere zu ihrer Grösse; Vandenhoeck und Ruprecht: Göttingen, Germany, 1848. [Google Scholar]
  14. Baldwin, J.W.; Garcia-Porta, J.; Botero, C.A. Complementarity in Allen’s and Bergmann’s rules among birds. Nat. Commun. 2023, 14, 4240. [Google Scholar] [CrossRef] [PubMed]
  15. Davis, K.M.; Burtt, E.H., Jr. Size increase with altitude in the Rufous-collared Sparrow (Zonotrichia capensis). Wilson J. Ornithol. 2019, 131, 135–139. [Google Scholar] [CrossRef] [PubMed]
  16. McQueen, A.; Klaassen, M.; Tattersall, G.J.; Atkinson, R.; Jessop, R.; Hassell, C.J.; Christie, M.; Victorian Wader Study Group; Australasian Wader Studies Group; Symonds, M.R.E. Thermal adaptation best explains Bergmann’s and Allen’s Rules across ecologically diverse shorebirds. Nat. Commun. 2022, 13, 4727. [Google Scholar] [CrossRef] [PubMed]
  17. Alhajeri, B.H.; Fourcade, Y.; Upham, N.S.; Alhaddad, H. A global test of Allen’s rule in rodents. Glob. Ecol. Biogeogr. 2020, 29, 2248–2260. [Google Scholar] [CrossRef]
  18. Symonds, M.R.E.; Tattersall, G.J. Geographical variation in bill size across bird species provides evidence for Allen’s rule. Am. Nat. 2010, 176, 188–197. [Google Scholar] [CrossRef]
  19. Ballinger, M.A.; Nachman, M.W. The contribution of genetic and environmental effects to Bergmann’s rule and Allen’s rule in house mice. Am. Nat. 2022, 199, 691–704. [Google Scholar] [CrossRef] [PubMed]
  20. Mayr, E. Geographical character gradients and climatic adaptation. Evolution 1956, 10, 105–108. [Google Scholar] [CrossRef]
  21. Qinfeng, G.; Hong, Q.; Pengcheng, L.; Jian, Z. Bergmann’s rule in global terrestrial vertebrates. Biol. J. Linn. Soc. 2024, 143, blae092. [Google Scholar]
  22. Yu, T.L.; Wang, D.L.; Busam, M.; Deng, Y.H. Altitudinal variation in body size in Bufo minshanicus supports Bergmann’s rule. Evol. Ecol. 2019, 33, 449–460. [Google Scholar] [CrossRef]
  23. Ray, C. The application of Bergmann’s and Allen’s rules to the poikilotherms. J. Morphol. 1960, 106, 85–108. [Google Scholar] [CrossRef] [PubMed]
  24. Martof, B.; Humphries, R. Geographic variation in the wood frog Rana sylvatica. Am. Midl. Nat. 1959, 61, 350–389. [Google Scholar] [CrossRef]
  25. Nevo, E. Adaptive variation in size of cricket frogs. Ecology 1973, 54, 1271–1281. [Google Scholar] [CrossRef]
  26. Alho, J.S.; Herczeg, G.; Laugen, A.T.; Räsänen, K.; Laurila, A.; Merilä, J. Allen’s rule revisited: Quantitative genetics of extremity length in the common frog along a latitudinal gradient. J. Evol. Biol. 2011, 24, 59–70. [Google Scholar] [CrossRef] [PubMed]
  27. Valladares-Gómez, A.; Torres-Pérez, F.; Palma, R.E. Assessing ecogeographic rules in two sigmodontine rodents along an elevational gradient in central Chile. Animals 2024, 14, 830. [Google Scholar] [CrossRef] [PubMed]
  28. Escalona, M.; Gelambi, M.; Hoyos-Díaz, J.M.; Biganzoli-Rangel, A.J.; Simões, P.I. Ecogeographic rules in a common Neotropical treefrog: No clinal variation along a mountain range. Acta Zool. 2024. [Google Scholar] [CrossRef]
  29. Rivas, J.; Quiero, A.; Penna, M.; Velasquez, N.A. Body-size variation across environmental gradients in an ectothermic organism: An intraspecific approach to ecogeographic patterns. Herpetologica 2018, 74, 191–198. [Google Scholar] [CrossRef]
  30. Trochet, A.; Deluen, M.; Bertrand, R.; Calvez, O.; Martínez-Silvestre, A.; Verdaguer-Foz, I.; Mossoll-Torres, M.; Souchet, J.; Darnet, E.; Le Chevalier, H. Body size increases with elevation in Pyrenean newts (Calotriton asper). Herpetologica 2019, 75, 30–37. [Google Scholar] [CrossRef]
  31. Chen, W.; Yu, T.L.; Lu, X. Age and body size of Rana kukunoris, a high-elevation frog native to the Tibetan Plateau. Herpetol. J. 2011, 21, 149–151. [Google Scholar]
  32. IUCN SSC Amphibian Specialist Group. Rana kukunoris. The IUCN Red List of Threatened Species 2020: E.T58635A63860643. 2020. Available online: https://doi.org/10.2305/IUCN.UK.2020-1.RLTS.T58635A63860643.en (accessed on 15 January 2025).
  33. Chen, W.; Tang, Z.H.; Fan, X.G.; Wang, Y.; Pike, D.A. Maternal investment increases with altitude in a frog on the Tibetan Plateau. J. Evol. Biol. 2013, 26, 2710–2715. [Google Scholar] [CrossRef] [PubMed]
  34. Xu, M.; Wang, G.; Liu, P.; He, Z.; He, K.; Cheng, Z.; Wang, Z.; Chen, W.; Li, Z.; Zhang, L. Age structure and body size of two Tibetan toad (Bufo tibetanus) populations from different elevations in China. Ecol. Evol. 2024, 14, e11559. [Google Scholar] [CrossRef] [PubMed]
  35. Yang, W.; Qi, Y.; Bi, K.; Fu, J. Toward understanding the genetic basis of adaptation to high-elevation life in poikilothermic species: A comparative transcriptomic analysis of two ranid frogs, Rana chensinensis and R. kukunoris. BMC Genom. 2012, 13, 588. [Google Scholar] [CrossRef] [PubMed]
  36. Zhang, M.; Li, C.; Yan, P.; Dong, B.; Jiang, J. Age structure and body size of the plateau brown frog (Rana kukunoris) in the Jiuzhaigou National Nature Reserve and potential climatic impacts on its life history variations. Animals 2023, 13, 3654. [Google Scholar] [CrossRef] [PubMed]
  37. Chen, W.; Chen, H.; Liao, J.; Tang, M.; Qin, H.; Zhao, Z.; Liu, X.; Wu, Y.; Jiang, L.; Zhang, L. Chromosome-level genome assembly of a high-altitude-adapted frog (Rana kukunoris) from the Tibetan Plateau provides insight into amphibian genome evolution and adaptation. Front. Zool. 2023, 20, 1. [Google Scholar] [CrossRef]
  38. Leung, K.W.; Yang, S.; Wang, X.; Tang, K.; Hu, J. Ecogeographical adaptation revisited: Morphological variations in the plateau brown frog along an elevation gradient on the Qinghai-Tibetan plateau. Biology 2021, 10, 1081. [Google Scholar] [CrossRef] [PubMed]
  39. Yang, T.; Shi, W.H.; Tong, L.Y. Altitudinal variation in limb size across seven populations of Rana kukunoris (Anura: Ranidae) fails to obey Allen’s rule. Phyllomedusa J. Herpetol. 2024, 23, 153–163. [Google Scholar]
  40. Yu, T.L.; Jia, G.; Sun, H.Q.; Shi, W.H.; Li, X.L.; Wang, H.B.; Huang, M.R.; Ding, S.Y.; Chen, J.P.; Zhang, M. Altitudinal body size variation in Rana kukunoris: The effects of age and growth rate on the plateau brown frog from the eastern Tibetan Plateau. Ethol. Ecol. Evol. 2021, 34, 120–132. [Google Scholar] [CrossRef]
  41. Huffman, M.A.; Kumara, R.; Kawamoto, Y.; Jayaweera, P.M.; Bardi, M.; Nahallage, C.A.D. What makes a long tail short? Testing Allen’s rule in the toque macaques of Sri Lanka. Am. J. Primatol. 2020, 82, e23113. [Google Scholar] [CrossRef] [PubMed]
  42. Romano, A.; Séchaud, R.; Roulin, A. Geographical variation in bill size provides evidence for Allen’s rule in a cosmopolitan raptor. Glob. Ecol. Biogeogr. 2019, 29, 65–75. [Google Scholar] [CrossRef]
  43. Fröhlich, A.; Kotowska, D.; Martyka, R.; Symonds, M.R.E. Allometry reveals trade-offs between Bergmann’s and Allen’s rules, and different avian adaptive strategies for thermoregulation. Nat. Commun. 2023, 14, 1101. [Google Scholar] [CrossRef]
  44. Fan, L.; Cai, T.; Xiong, Y.; Song, G.; Lei, F. Bergmann’s rule and Allen’s rule in two passerine birds in China. Avian Res. 2019, 10, 34. [Google Scholar] [CrossRef]
  45. Nudds, R.; Oswald, S. An interspecific test of Allen’s rule: Evolutionary implications for endothermic species. Evolution 2007, 61, 2839–2848. [Google Scholar] [CrossRef] [PubMed]
  46. Shelomi, M.; Zeuss, D. Bergmann’s and Allen’s rules in native European and Mediterranean Phasmatodea. Front. Ecol. Evol. 2017, 5, 25. [Google Scholar] [CrossRef]
  47. Calhoon, R.E.; Jameson, D.L. Canonical correlation between variation in weather and variation in size in the Pacific tree frog, Hyla regilla, in southern California. Copeia 1970, 1970, 124–134. [Google Scholar] [CrossRef]
Figure 1. Sampling points of Rana kukunoris from three geographic regions.
Figure 1. Sampling points of Rana kukunoris from three geographic regions.
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Figure 2. Relative limb length of Rana kukunoris along altitude gradients. Yellow represents males, and blue represents females. Panels a-d illustrate the relative forelimb length (LAHL/SVL), whereas panels e-h depict the relative hindlimb length (HILL/SVL). Specifically, panels (a,e) display data from 492 individuals across 26 populations; panels (b,f) represent 8 populations from the northern region; panels (c,g) represent 13 populations from the central region; and panels (d,h) represent 5 populations from the southern region. All data are presented as the mean and standard deviation of the ratio of morphological traits to body size for each population.
Figure 2. Relative limb length of Rana kukunoris along altitude gradients. Yellow represents males, and blue represents females. Panels a-d illustrate the relative forelimb length (LAHL/SVL), whereas panels e-h depict the relative hindlimb length (HILL/SVL). Specifically, panels (a,e) display data from 492 individuals across 26 populations; panels (b,f) represent 8 populations from the northern region; panels (c,g) represent 13 populations from the central region; and panels (d,h) represent 5 populations from the southern region. All data are presented as the mean and standard deviation of the ratio of morphological traits to body size for each population.
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Table 1. The altitudinal change of the relative limb size of Rana kukunoris across all the distribution range (LAHL: Lower arm and hand length; HILL: the sum of thigh, tibia, tarsus, and foot lengths; SD: standard deviation; SE: standard error; df: degree of freedom).
Table 1. The altitudinal change of the relative limb size of Rana kukunoris across all the distribution range (LAHL: Lower arm and hand length; HILL: the sum of thigh, tibia, tarsus, and foot lengths; SD: standard deviation; SE: standard error; df: degree of freedom).
Morphological TraitFactorRandomFixed
VarianceSDEstimateSEdftp
LAHLGeographic region0.00050.021
Intercept 0.1280.177401.00.7230.470
Altitude −0.0870.020405.6−4.352<0.001
Sex −0.0710.225485.2−0.3170.751
SVL 0.9320.018485.252.580<0.001
Altitude × sex 0.0010.028485.20.0330.974
HILLGeographic region0.00030.018
Intercept 1.4080.144404.29.775<0.001
Altitude −0.0960.016411.6−5.956<0.001
Sex −0.0690.182485.1−0.3760.707
SVL 0.9510.014485.266.073<0.001
Altitude × sex 0.0030.023485.10.1490.882
Table 2. The altitudinal variation in the relative limb size of Rana kukunoris across different geographic regions (LAHL: the lower arm and hand length; HILL: the sum of thigh, tibia, tarsus, and foot lengths; SE: the standard error).
Table 2. The altitudinal variation in the relative limb size of Rana kukunoris across different geographic regions (LAHL: the lower arm and hand length; HILL: the sum of thigh, tibia, tarsus, and foot lengths; SE: the standard error).
Geographic RegionMorphological
Trait
FactorEstimateSEtp
Northern regionLAHLIntercept1.5860.5872.7010.008
Altitude−0.2420.070−3.4730.001
Sex0.2220.8220.2710.787
SVL0.8620.03226.632<0.001
Altitude × sex−0.0360.104−0.3420.733
HILLIntercept1.7400.3784.606<0.001
Altitude−0.1340.045−2.9930.003
Sex−0.4720.528−0.8940.373
SVL0.9390.02145.090<0.001
Altitude × sex0.0560.0670.8280.409
Central regionLAHLIntercept−0.0110.198−0.0530.958
Altitude−0.0840.022−3.831<0.001
Sex−0.2760.292−0.9460.345
SVL0.9660.02342.444<0.001
Altitude × sex0.0260.0370.7250.469
HILLIntercept1.3160.1847.155<0.001
Altitude−0.0940.020−4.616<0.001
Sex0.1400.2710.5190.605
SVL0.9670.02145.805<0.001
Altitude × sex−0.0240.034−0.7100.479
Southern regionLAHLIntercept1.4651.5790.9280.356
Altitude−0.1940.189−1.0290.306
Sex−1.7393.281−0.5300.598
SVL0.8200.06512.668<0.001
Altitude × sex0.2010.3960.5080.613
HILLIntercept−0.9041.225−0.7380.463
Altitude0.2040.1461.3960.166
Sex−1.0612.546−0.4170.678
SVL0.9100.05018.128<0.001
Altitude × sex0.1240.3070.4030.688
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Liu, X.; Chen, H.; Wu, Y.; Xiong, H.; Liu, S.; Ling, H.; Chen, W. Altitudinal Variation of Limb Size of a High-Altitude Frog. Diversity 2025, 17, 80. https://doi.org/10.3390/d17020080

AMA Style

Liu X, Chen H, Wu Y, Xiong H, Liu S, Ling H, Chen W. Altitudinal Variation of Limb Size of a High-Altitude Frog. Diversity. 2025; 17(2):80. https://doi.org/10.3390/d17020080

Chicago/Turabian Style

Liu, Xueyan, Hongzhou Chen, Yanfang Wu, Huan Xiong, Song Liu, Huafan Ling, and Wei Chen. 2025. "Altitudinal Variation of Limb Size of a High-Altitude Frog" Diversity 17, no. 2: 80. https://doi.org/10.3390/d17020080

APA Style

Liu, X., Chen, H., Wu, Y., Xiong, H., Liu, S., Ling, H., & Chen, W. (2025). Altitudinal Variation of Limb Size of a High-Altitude Frog. Diversity, 17(2), 80. https://doi.org/10.3390/d17020080

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