Ecology

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1.Mayr, E. Geographical character gradients and climatic adaptation. Evolution 10, 105–108 (1956).Article 

Google Scholar 
2.Sand, H., Cederlund, G. & Danell, K. Geographical and latitudinal variation in growth patterns and adult body size of Swedish moose (Alces alces). Oecologia 102, 433–442 (1995).ADS 
PubMed 
Article 

Google Scholar 
3.Gigliotti, L. C. et al. Latitudinal variation in snowshoe hare (Lepus americanus) body mass: a test of Bergmann’s rule. Can. J. Zool. 98, 88–95 (2020).Article 

Google Scholar 
4.Best, T. L. Intraspecific Variation in the Agile Kangaroo Rat (Dipodomys agilis). J. Mammal. 64, 426–436. https://doi.org/10.2307/1380355 (1983).Article 

Google Scholar 
5.Terada, C., Tatsuzawa, S. & Saitoh, T. Ecological correlates and determinants in the geographical variation of deer morphology. Oecologia 169, 981–994 (2012).ADS 
PubMed 
Article 

Google Scholar 
6.Gigliotti, L. C., Diefenbach, D. R. & Sheriff, M. J. Geographic variation in winter adaptations of snowshoe hares (Lepus americanus). Can. J. Zool. 95, 539–545 (2017).Article 

Google Scholar 
7.Singaravelan, N. et al. Adaptation of pelage color and pigment variations in Israeli subterranean blind mole rats, Spalax ehrenbergi. PloS ONE 8, 119 (2013).Article 

Google Scholar 
8.Price, T., Ndiaye, O., Hammerschmidt, K. & Fischer, J. Limited geographic variation in the acoustic structure of and responses to adult male alarm barks of African green monkeys. Behav. Ecol. Sociobiol. 68, 815–825 (2014).PubMed 
PubMed Central 
Article 

Google Scholar 
9.Lagos, L. & Bárcena, F. Spatial variability in wolf diet and prey selection in Galicia (NW Spain). Mammal Res. 63, 125–139. https://doi.org/10.1007/s13364-018-0352-6 (2018).Article 

Google Scholar 
10.Ashton, K. G., Tracy, M. C. & Queiroz, A. D. Is Bergmann’s rule valid for mammals?. Am. Nat. 156, 390–415 (2000).PubMed 
Article 

Google Scholar 
11.Watt, C., Mitchell, S. & Salewski, V. Bergmann’s rule; a concept cluster?. Oikos 119, 89–100 (2010).Article 

Google Scholar 
12.Yom-Tov, Y. & Geffen, E. Recent spatial and temporal changes in body size of terrestrial vertebrates: probable causes and pitfalls. Biol. Rev. 86, 531–541 (2011).PubMed 
Article 

Google Scholar 
13.Basuony, M., Mohamed, W. & Shalabi, M. Food and feeding ecology of the Egyptian Mongoose, Herpestes ichneumon (Linnaeus, 1758) in Egypt. J. Appl. Sci. Res. 9, 5811–5816 (2013).
Google Scholar 
14.McNab, B. K. Geographic and temporal correlations of mammalian size reconsidered: a resource rule. Oecologia 164, 13–23 (2010).ADS 
PubMed 
Article 

Google Scholar 
15.Wang, M. et al. Ambient temperature correlates with geographic variation in body size of least horseshoe bats. Curr. Zool. 2, 19 (2020).
Google Scholar 
16.Taggart, D. A. et al. Environmental factors influencing hairy-nosed wombat abundance in semi-arid rangelands. J. Wildl. Manag. 84, 921–929 (2020).Article 

Google Scholar 
17.Brandimarti, M. E. et al. Reference intervals for parameters of health of eastern grey kangaroos Macropus giganteus and management implications across their geographic range. Wildl. Biol. 2020 (2020).18.Fancourt, B. A., Hawkins, C. E. & Nicol, S. C. Mechanisms of climate-change-induced species decline: spatial, temporal and long-term variation in the diet of an endangered marsupial carnivore, the eastern quoll. Wildl. Res. 45, 737–750 (2019).Article 

Google Scholar 
19.Phillips, B. L. & Shine, R. Adapting to an invasive species: toxic cane toads induce morphological change in Australian snakes. Proc. Natl. Acad. Sci. 101, 17150–17155 (2004).ADS 
CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
20.Both, C. & Visser, M. E. The effect of climate change on the correlation between avian life-history traits. Global Change Biol. 11, 1606–1613 (2005).ADS 
Article 

Google Scholar 
21.Borg, C., Majolo, B., Qarro, M. & Semple, S. A comparison of body size, coat condition and endoparasite diversity of wild Barbary macaques exposed to different levels of tourism. Anthrozoös 27, 49–63 (2014).Article 

Google Scholar 
22.Maceda-Veiga, A., Green, A. J. & De Sostoa, A. Scaled body-mass index shows how habitat quality influences the condition of four fish taxa in north-eastern Spain and provides a novel indicator of ecosystem health. Freshwat. Biol. 59, 1145–1160 (2014).Article 

Google Scholar 
23.Thatcher, H. R., Downs, C. T. & Koyama, N. F. Using parasitic load to measure the effect of anthropogenic disturbance on vervet monkeys. EcoHealth 15, 676–681 (2018).PubMed 
PubMed Central 
Article 

Google Scholar 
24.Boyce, M. S. Population viability analysis. Annu. Rev. Ecol. Syst. 23, 481–497 (1992).Article 

Google Scholar 
25.Gaillard, J.-M., Festa-Bianchet, M., Yoccoz, N., Loison, A. & Toigo, C. Temporal variation in fitness components and population dynamics of large herbivores. Annu. Rev. Ecol. Syst. 31, 367–393 (2000).Article 

Google Scholar 
26.Reed, D. H., O’Grady, J. J., Brook, B. W., Ballou, J. D. & Frankham, R. Estimates of minimum viable population sizes for vertebrates and factors influencing those estimates. Biol. Conserv. 113, 23–34 (2003).Article 

Google Scholar 
27.Stevenson, R. & Woods, W. A. Jr. Condition indices for conservation: new uses for evolving tools. Integr. Comp. Biol. 46, 1169–1190 (2006).CAS 
PubMed 
Article 

Google Scholar 
28.Schulte-Hostedde, A. I., Zinner, B., Millar, J. S. & Hickling, G. J. Restitution of mass–size residuals: validating body condition indices. Ecology 86, 155–163 (2005).Article 

Google Scholar 
29.Weiss, D. J. & Wardrop, K. J. Schalm’s Veterinary Hematology (Wiley, 2011).
Google Scholar 
30.Hanks, J., Fowler, C. & Smith, T. Dynamics of large mammal populations. Dyn. Large Mamm. Popul. 2, 47–73 (1981).
Google Scholar 
31.Mapfumo, L., Muchenje, V., Mupangwa, J. F. & Scholtz, M. M. Changes in biochemical proxy indicators for nutritional stress resilience from Boran and Nguni cows reared in dry arid rangeland. Trop. Anim. Health Prod. 49, 1383–1392 (2017).PubMed 
Article 
PubMed Central 

Google Scholar 
32.Miller, D. S. et al. Biomedical evaluation of free-ranging ring-tailed lemurs (Lemur catta) in three habitats at the Beza Mahafaly Special Reserve, Madagascar. J. Zoo Wildl. Med. 38, 201–216 (2007).ADS 
PubMed 
Article 
PubMed Central 

Google Scholar 
33.Pérez, J. M. et al. Distinguishing disease effects from environmental effects in a mountain ungulate: seasonal variation in body weight, hematology, and serum chemistry among Iberian ibex (Capra pyrenaica) affected by sarcoptic mange. J. Wildl. Dis. 51, 148–156 (2015).PubMed 
Article 
PubMed Central 

Google Scholar 
34.Webster, K. N., Hill, N. J., Burnett, L. & Deane, E. M. Ectoparasite infestation patterns, haematology and serum biochemistry of urban-dwelling common brushtail possums. Wildl. Biol. 20, 206–216 (2014).Article 

Google Scholar 
35.Perrault, J. R. & Stacy, N. I. Note on the unique physiologic state of loggerhead sea turtles (Caretta caretta) during nesting season as evidenced by a suite of health variables. Mar. Biol. 165, 71 (2018).Article 

Google Scholar 
36.O’Brien, J., Schmitt, T., Nollens, H., Dubach, J. & Robeck, T. Reproductive physiology of the female Magellanic penguin (Spheniscus magellanicus): insights from the study of a zoological colony. Gen. Comp. Endocrinol. 225, 81–94 (2016).PubMed 
Article 
CAS 
PubMed Central 

Google Scholar 
37.Robert, K. A. & Schwanz, L. E. Monitoring the health status of free-ranging tammar wallabies using hematology, serum biochemistry, and parasite loads. J. Wildl. Manag. 77, 1232–1243 (2013).Article 

Google Scholar 
38.Portas, T. J. et al. Beyond morbidity and mortality in reintroduction programmes: changing health parameters in reintroduced eastern bettongs Bettongia gaimardi. Oryx 50, 674–683 (2016).Article 

Google Scholar 
39.Lücker, A., Secomb, T. W., Weber, B. & Jenny, P. The relative influence of hematocrit and red blood cell velocity on oxygen transport from capillaries to tissue. Microcirculation 24, e12337. https://doi.org/10.1111/micc.12337 (2017).CAS 
Article 

Google Scholar 
40.Shield, J. A seasonal change in blood cell volume of the Rottnest Island quokka, Setonix brachyurus. J. Zool. 165, 343–354 (1971).Article 

Google Scholar 
41.Sealander, J. A. Seasonal changes in blood values of deer mice and other small mammals. Ecology 12, 107–119 (1962).Article 

Google Scholar 
42.Trumble, S. J., Castellini, M. A., Mau, T. L. & Castellini, J. M. Dietary and seasonal influences on blood chemistry and hematology in captive harbor seals. Mar. Mamm. Sci. 22, 104–123 (2006).Article 

Google Scholar 
43.Boonstra, R., McColl, C. J. & Karels, T. J. Reproduction at all costs: The adaptive stress response of male Arctic ground squirrels. Ecology 82, 1930–1946. (2001).Article 

Google Scholar 
44.Stockham, S. L. & Scott, M. A. Fundamentals of Veterinary Clinical Pathology (Wiley, 2013).
Google Scholar 
45.Thrall, M. A., Weiser, G., Allison, R. W. & Campbell, T. W. Veterinary Hematology and Clinical Chemistry (Wiley, 2012).
Google Scholar 
46.Gruys, E., Toussaint, M., Niewold, T. & Koopmans, S. Acute phase reaction and acute phase proteins. J. Zhejiang Univ. Sci. B 6, 1045 (2005).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
47.Serrano, E. et al. The use of total serum proteins and triglycerides for monitoring body condition in the Iberian wild goat (Capra pyrenaica). J. Zoo Wildl. Med. 39, 646–649 (2008).PubMed 
Article 
PubMed Central 

Google Scholar 
48.Stevens, L. A. & Levey, A. S. Measurement of kidney function. . Med. Clin. 89, 457–473 (2005).
Google Scholar 
49.Vanholder, R., Glorieux, G., De Smet, R. & Lameire, N. New insights in uremic toxins. Kidney Int. 63, S6–S10 (2003).Article 

Google Scholar 
50.Caldeira, R., Belo, A., Santos, C., Vazques, M. & Portugal, A. The effect of body condition score on blood metabolites and hormonal profiles in ewes. Small Rumin. Res. 68, 233–241 (2007).Article 

Google Scholar 
51.Schutte, J. E., Longhurst, J. C., Gaffney, F. A., Bastian, B. C. & Blomqvist, C. G. Total plasma creatinine: an accurate measure of total striated muscle mass. J. Appl. Physiol. 51, 762–766 (1981).CAS 
PubMed 
Article 

Google Scholar 
52.Kaneko, J. J., Harvey, J. W. & Bruss, M. L. Clinical Biochemistry of Domestic Animals. (Academic Press, 2008).53.Stirrat, S. C. Body condition and blood chemistry of agile wallabies (Macropus agilis) in the wet–dry tropics. Wildl. Res. 30, 59–67 (2003).CAS 
Article 

Google Scholar 
54.Lassen, E. Perspectives in data interpretation. Vet. Hematol. Clini. Chem. 5, 45–49 (2004).
Google Scholar 
55.Maceda-Veiga, A. et al. Inside the Redbox: applications of haematology in wildlife monitoring and ecosystem health assessment. Sci. Total Environ. 514, 322–332 (2015).ADS 
CAS 
PubMed 
Article 

Google Scholar 
56.Brandimarti, M. E., Gray, R., Silva, F. R. & Herbert, C. A. Kangaroos at maximum capacity: health assessment of free-ranging eastern grey kangaroos on a coastal headland. J. Mamm. 2, 96 (2021).
Google Scholar 
57.Clark, P. Haematology of Australian Mammals. (CSIRO Publishing, 2004).58.Solberg, H. A guide to IFCC recommendations on reference values. J. Int. Fed. Clin. Chem. 5, 162–165 (1993).CAS 
PubMed 

Google Scholar 
59.Gongora, J. et al. Genetic structure and phylogeography of platypuses revealed by mitochondrial DNA. J. Zool. 286, 110–119 (2012).Article 

Google Scholar 
60.Grant, T. & Fanning, D. The Platypus: A Unique Mammal. (University of New South Wales Press, 1995).61.Furlan, E. et al. Is body size variation in the platypus (Ornithorhynchus anatinus) associated with environmental variables?. Aust. J. Zool. 59, 201–215 (2012).Article 

Google Scholar 
62.Allen, A. Allens rule. The influence of Physical conditions in the genesis of species. Rad. Rev. 1, 108–140 (1877).
Google Scholar 
63.Bergmann, C. Uber die Verhaltnisse der warmeokonomie der Thiere zu uber Grosso. Gottinger Studien 3, 595–708 (1847).
Google Scholar 
64.Grant, T., Griffiths, M. & Temple-Smith, P. in Proc. Linn. Soc. N.S.W. 227 (Linnean Society of New South Wales).65.Munks, S., Otley, H., Bethge, P. & Jackson, J. Reproduction, diet and daily energy expenditure of the platypus in a sub-alpine Tasmanian lake. Aust. Mamm. 21, 260–261 (2000).
Google Scholar 
66.Temple-Smith, P. & Grant, T. Uncertain breeding: a short history of reproduction in monotremes. Reprod. Fertil. Dev. 13, 487–497 (2001).CAS 
PubMed 
Article 

Google Scholar 
67.Chessman, B. C. & Williams, S. A. Biodiversity and conservation of river macroinvertebrates on an expanding urban fringe: western Sydney, New South Wales, Australia. Pac. Conserv. Biol. 5, 36–55 (1999).Article 

Google Scholar 
68.Magierowski, R. H., Davies, P. E., Read, S. M. & Horrigan, N. Impacts of land use on the structure of river macroinvertebrate communities across Tasmania, Australia: spatial scales and thresholds. Mar. Freshw. Res. 63, 762–776 (2012).Article 

Google Scholar 
69.Verkaik, I., Prat, N., Rieradevall, M., Reich, P. & Lake, P. S. Effects of bushfire on macroinvertebrate communities in south-east Australian streams affected by a megadrought. Mar. Freshw. Res. 65, 359–369 (2014).Article 

Google Scholar 
70.Stitz, L., Fabbro, L. & Kinnear, S. Response of macroinvertebrate communities to seasonal hydrologic changes in three sub-tropical Australian streams. Environ. Monit. Assess. 189, 254 (2017).PubMed 
Article 
CAS 

Google Scholar 
71.McLachlan-Troup, T., Dickman, C. & Grant, T. Diet and dietary selectivity of the platypus in relation to season, sex and macroinvertebrate assemblages. J. Zool. 280, 237–246 (2010).Article 

Google Scholar 
72.Bino, G. et al. The platypus: evolutionary history, biology, and an uncertain future. J. Mamm. 100, 308–327 (2019).Article 

Google Scholar 
73.Grant, T. & Temple-Smith, P. Conservation of the platypus, Ornithorhynchus anatinus: threats and challenges. Aquat. Ecosyst. Health Manag. 6, 5–18 (2003).Article 

Google Scholar 
74.Gust, N. et al. Distribution, prevalence and persistence of mucormycosis in Tasmanian platypuses (Ornithorhynchus anatinus). Aust. J. Zool. 57, 245–254 (2009).Article 

Google Scholar 
75.Klamt, M., Thompson, R. & Davis, J. Early response of the platypus to climate warming. Global Change Biol. 17, 3011–3018 (2011).ADS 
Article 

Google Scholar 
76.Richmond, E. K. et al. A diverse suite of pharmaceuticals contaminates stream and riparian food webs. Nat. Commun. 9, 4491 (2018).ADS 
PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
77.Scheelings, T. Morbidity and mortality of monotremes admitted to the Australian Wildlife Health Centre, Healesville Sanctuary, Australia, 2000–2014. Aust. Vet. J. 94, 121–124 (2016).CAS 
PubMed 
Article 

Google Scholar 
78.Hawke, T., Bino, G. & Kingsford, R. T. A silent demise: historical insights into population changes of the iconic platypus (Ornithorhynchus anatinus). Global Ecol. Conserv. 20, 720 (2019).
Google Scholar 
79.Connolly, J., Obendorf, D. & Whittington, R. Haematological, serum biochemical and serological features of platypuses with and without mycotic granulomatous dermatitis. Aust. Vet. J. 77, 809–813 (1999).CAS 
PubMed 
Article 

Google Scholar 
80.Geraghty, D. P., Griffiths, J., Stewart, N., Robertson, I. K. & Gust, N. Hematologic, plasma biochemical, and other indicators of the health of Tasmanian platypuses (Ornithorhynchus anatinus): predictors of mucormycosis. J. Wildl. Dis. 47, 483–493 (2011).CAS 
PubMed 
Article 

Google Scholar 
81.Macgregor, J. W. et al. A need for dynamic hematology and serum biochemistry reference tools: Novel use of sine wave functions to produce seasonally varying reference curves in platypuses (Ornithorhynchus anatinus). J. Wildl. Dis. 53, 235–247. https://doi.org/10.7589/2015-12-336 (2017).Article 
PubMed 

Google Scholar 
82.Booth, R. & Connolly, J. in Medicine in Australian Mammals 103–132 (CSIRO Publishing, 2008).83.Whittington, R. & Grant, T. Haematology and blood chemistry of the free-living platypus, Ornithorhynchus anatinus (Shaw) (Monotremata: Ornithorhynchidae). Aust. J. Zool. 31, 475–482 (1983).CAS 
Article 

Google Scholar 
84.Whittington, R. & Grant, T. Haematology and Blood Chemistry of the Conscious Platypus, Ornithorhynchus anatinus (Shaw) (Monotremata: Ornithorhynchidae). Aust. J. Zool. 32, 631–635. https://doi.org/10.1071/ZO9840631 (1984).CAS 
Article 

Google Scholar 
85.Grant, T. & Carrick, F. Some aspects of the ecology of the platypus, Ornithorhynchus anatinus, in the upper Shoalhaven River. New South Wales. Australian Zool. 20, 181–199 (1978).
Google Scholar 
86.Bino, G., Kingsford, R. T., Grant, T., Taylor, M. D. & Vogelnest, L. Use of implanted acoustic tags to assess platypus movement behaviour across spatial and temporal scales. Sci. Rep. 8, 1–12 (2018).CAS 
Article 

Google Scholar 
87.Hawke, T., Bino, G. & Kingsford, R. T. Damming insights: impacts and implications of river regulation on platypus populations. Aquatic Conservation in press (2020).88.Gallant, J. & Read, A. A near-global bare-Earth DEM from SRTM. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 41, B4 (2016).
Google Scholar 
89.Temple-Smith, P. D. M. Seasonal breeding biology of the platypus, Ornithorhynchus anatinus (Shaw, 1799), with special reference to the male. (1973).90.Williams, G., Serena, M. & Grant, T. Age-related change in spurs and spur sheaths of the platypus (Ornithorhynchus anatinus). Australian Mammalogy 35, 107–114 (2013).Article 

Google Scholar 
91.Grueber, C., Nakagawa, S., Laws, R. & Jamieson, I. Multimodel inference in ecology and evolution: challenges and solutions. J. Evol. Biol. 24, 699–711 (2011).CAS 
PubMed 
Article 

Google Scholar 
92.Burnham, K. P. & Anderson, D. R. Multimodel inference: understanding AIC and BIC in model selection. Sociol. Methods Res. 33, 261–304 (2004).MathSciNet 
Article 

Google Scholar 
93.R Development Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing., (R Foundation for Statistical Computing., 2020).94.Wickham, H. ggplot2-Elegant Graphics for Data Analysis (Springer International Publishing, 2016).MATH 

Google Scholar 
95.Wood, S. Mixed GAM computation vehicle with GCV/AIC/REML smoothness estimation and GAMMs by REML/PQL. R Package Version, 1.8–23 (2018).96.Wood, S. & Wood, M. S. Package ‘mgcv’. R Package Ver. 1, 29 (2015).
Google Scholar 
97.Breheny, P. & Burchett, W. Visualization of regression models using visreg. R J. 9, 56 (2017).Article 

Google Scholar 
98.Geffré, A., Concordet, D., Braun, J. P. & Trumel, C. Reference Value Advisor: a new freeware set of macroinstructions to calculate reference intervals with Microsoft Excel. Vet. Clin. Pathol. 40, 107–112 (2011).PubMed 
Article 

Google Scholar 
99.Friedrichs, K. R. et al. ASVCP reference interval guidelines: determination of de novo reference intervals in veterinary species and other related topics. Vet. Clin. Pathol. 41, 441–453 (2012).PubMed 
Article 

Google Scholar 
100.Calver, M. C., Goldman, B., Hutchings, P. A. & Kingsford, R. T. Why discrepancies in searching the conservation biology literature matter. Biol. Conserv. 213, 19–26 (2017).Article 

Google Scholar 
101.Pfeffermann, D. The role of sampling weights when modeling survey data. International Statistical Review/Revue Internationale de Statistique, 317–337 (1993).102.Deem, S. L., Karesh, W. B. & Weisman, W. Putting theory into practice: wildlife health in conservation. Conserv. Biol. 15, 1224–1233 (2001).Article 

Google Scholar 
103.Isaksson, C. Urbanization, oxidative stress and inflammation: a question of evolving, acclimatizing or coping with urban environmental stress. Funct. Ecol. 29, 913–923 (2015).Article 

Google Scholar 
104.Karesh, W. B. & Cook, R. A. Applications of veterinary medicine to in situ conservation efforts. Oryx 29, 244–252 (1995).Article 

Google Scholar 
105.Cahill, A. E. et al. Causes of warm-edge range limits: systematic review, proximate factors and implications for climate change. J. Biogeogr. 41, 429–442 (2014).Article 

Google Scholar 
106.Elmore, R. D. et al. Implications of the thermal environment for terrestrial wildlife management. Wildl. Soc. Bull. 41, 183–193 (2017).Article 

Google Scholar 
107.Todgham, A. E. & Stillman, J. H. Physiological responses to shifts in multiple environmental stressors: relevance in a changing world. Integr. Comput. Biol. 53, 539–544 (2013).Article 

Google Scholar 
108.Brice, P. H. Thermoregulation in monotremes: riddles in a mosaic. Aust. J. Zool. 57, 255–263 (2009).Article 

Google Scholar 
109.Grant, T. Body temperatures of free-ranging platypuses, Ornithorhynchus anatinus (Monotremata), with observations on their use of burrows. Aust. J. Zool. 31, 117–122 (1983).Article 

Google Scholar 
110.Grant, T. & Dawson, T. Temperature regulation in the platypus, Ornithorhynchus anatinus: maintenance of body temperature in air and water. Physiol. Zool. 51, 1–6 (1978).Article 

Google Scholar 
111.Grant, T. & Dawson, T. J. Temperature regulation in the platypus, Ornithorhynchus anatinus: production and loss of metabolic heat in air and water. Physiol. Zool. 51, 315–332 (1978).Article 

Google Scholar 
112.Connolly, J. H., Claridge, T., Cordell, S. M., Nielsen, S. & Dutton, G. J. Distribution and characteristics of the platypus (Ornithorhynchus anatinus) in the Murrumbidgee catchment. Aust. Mamm. 38, 58–67 (2016).Article 

Google Scholar 
113.Grant, T. Historical and current distribution of the platypus, Ornithorhynchus anatinus. Australia. In Platypus and echidnas (ed. ML Augee), 232–254 (1992).114.Grant, T., Gehrke, P., Harris, J. & Hartley, S. Distribution of the platypus (Ornithorhynchus anatinus) in NSW: results of the 1994–96 NSW Rivers Survey. Aust. Mamm. 21, 177–184 (2000).Article 

Google Scholar 
115.Nazifi, S., Gheisari, H. & Poorabbas, H. The influences of thermal stress on serum biochemical parameters of dromedary camels and their correlation with thyroid activity. Comp. Haematol. Int. 9, 49–54 (1999).Article 

Google Scholar 
116.Singh, K. M. et al. Evaluation of Indian sheep breeds of arid zone under heat stress condition. Small Rumin. Res. 141, 113–117 (2016).Article 

Google Scholar 
117.Zhang, Y. & Kieffer, J. D. Critical thermal maximum (CTmax) and hematology of shortnose sturgeons (Acipenser brevirostrum) acclimated to three temperatures. Can. J. Zool. 92, 215–221 (2014).CAS 
Article 

Google Scholar 
118.Burgmer, T., Hillebrand, H. & Pfenninger, M. Effects of climate-driven temperature changes on the diversity of freshwater macroinvertebrates. Oecologia 151, 93–103 (2007).ADS 
CAS 
PubMed 
Article 

Google Scholar 
119.Carr, M., Li, L., Sadeghian, A., Phillips, I. D. & Lindenschmidt, K. E. Modelling the possible impacts of climate change on the thermal regime and macroinvertebrate species of a regulated prairie river. Ecohydrology 12, e2102 (2019).Article 

Google Scholar 
120.Daufresne, M., Bady, P. & Fruget, J.-F. Impacts of global changes and extreme hydroclimatic events on macroinvertebrate community structures in the French Rhône River. Oecologia 151, 544–559 (2007).ADS 
PubMed 
Article 

Google Scholar 
121.Durance, I. & Ormerod, S. J. Climate change effects on upland stream macroinvertebrates over a 25-year period. Global Change Biol. 13, 942–957 (2007).ADS 
Article 

Google Scholar 
122.Walsh, C. J. Biological indicators of stream health using macroinvertebrate assemblage composition: a comparison of sensitivity to an urban gradient. Mar. Freshw. Res. 57, 37–47 (2006).Article 

Google Scholar 
123.Marchant, R. & Grant, T. The productivity of the macroinvertebrate prey of the platypus in the upper Shoalhaven River, New South Wales. Mar. Freshw. Res. 66, 1128–1137 (2015).Article 

Google Scholar 
124.Bino, G., Kingsford, R. T. & Wintle, B. A. A stitch in time–Synergistic impacts to platypus metapopulation extinction risk. Biol. Conserv. 242, 108399 (2020).125.Ambrosio, A. M. et al. Significant hematocrit decrease in healthy horses during clinical anesthesia. Braz. j. vet. Res. Anim. Sci. 49, 139–145 (2012).Article 

Google Scholar 
126.Dhumeaux, M. P. et al. Effects of a standardized anesthetic protocol on hematologic variables in healthy cats. J. Feline Med. Surg. 14, 701–705 (2012).PubMed 
Article 

Google Scholar 
127.Marini, R. et al. Effect of isoflurane on hematologic variables in ferrets. Am. J. Vet. Res. 55, 1479–1483 (1994).CAS 
PubMed 

Google Scholar 
128.Bejaei, M. & Cheng, K. Effects of pretransport handling stress on physiological and behavioral response of ostriches. Poult. Sci. 93, 1137–1148 (2014).CAS 
PubMed 
Article 

Google Scholar 
129.Delgiudice, G. D., Kunkel, K. E., Mech, L. D. & Seal, U. S. Minimizing capture-related stress on white-tailed deer with a capture collar. J. Wildl. Manag. 11, 299–303 (1990).Article 

Google Scholar 
130.Harvey, J. W. Veterinary Hematology-E-Book: A Diagnostic Guide and Color Atlas. (Elsevier Health Sciences, 2011).131.Raskin, R. E. Hematologic disorders 6. Clinical medicine of the dog and cat, Schaer M, editor. Manson Publishing, London, UK, 227–288 (2009).132.Mayer, J. & Donnelly, T. M. Clinical Veterinary Advisor-E-Book: Birds and Exotic Pets. (Elsevier Health Sciences, 2012).133.Bino, G., Grant, T. R. & Kingsford, R. T. Life history and dynamics of a platypus (Ornithorhynchus anatinus) population: four decades of mark-recapture surveys. Sci. Rep. 5, 16073 (2015).ADS 
PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
134.Gust, N. & Handasyde, K. Seasonal-variation in the ranging behavior of the platypus (Ornithorhynchus-anatinus) on the Goulburn River, Victoria. Aust. J. Zool. 43, 193–208 (1995).Article 

Google Scholar 
135.Handasyde, K., McDonald, I. & Evans, B. Plasma glucocorticoid concentrations in free-ranging platypuses (Ornithorhynchus anatinus): response to capture and patterns in relation to reproduction. Comp. Biochem. Physiol. A: Mol. Integr. Physiol. 136, 895–902 (2003).CAS 
Article 

Google Scholar 
136.Wang, J.-C., Gray, N. E., Kuo, T. & Harris, C. A. Regulation of triglyceride metabolism by glucocorticoid receptor. Cell Biosci. 2, 19–19. https://doi.org/10.1186/2045-3701-2-19 (2012).CAS 
Article 
PubMed 
PubMed Central 

Google Scholar 
137.Griffiths, M. Reproduction and embryology. Biol. Monotremes, 209–254 (1978).138.Hawkins, M. & Battaglia, A. Breeding behaviour of the platypus (Ornithorhynchus anatinus) in captivity. Aust. J. Zool. 57, 283–293 (2009).Article 

Google Scholar 
139.Thomas, J., Handasyde, K., Parrott, M. & Temple-Smith, P. The platypus nest: burrow structure and nesting behaviour in captivity. Aust. J. Zool. 65, 347–356 (2018).Article 

Google Scholar 
140.Holland, N. & Jackson, S. M. Reproductive behaviour and food consumption associated with the captive breeding of platypus (Ornithorhynchus anatinus). J. Zool. 256, 279–288 (2002).Article 

Google Scholar 
141.Thomas, J. L., Handasyde, K. A., Temple-Smith, P. & Parrott, M. L. Seasonal changes in food selection and nutrition of captive platypuses (Ornithorhynchus anatinus). Aust. J. Zool. 65, 319–327. https://doi.org/10.1071/ZO18004 (2017).Article 

Google Scholar 
142.Kruger, B., Hunter, S. & Serena, M. Husbandry, diet and behaviour of platypus Ornithorhynchus anatinus at Healesville Sanctuary. International Zoo Yearbook 31, 64–71 (1992).Article 

Google Scholar 
143.El-Sherif, M. & Assad, F. Changes in some blood constituents of Barki ewes during pregnancy and lactation under semi arid conditions. Small Rumin. Res. 40, 269–277 (2001).PubMed 
Article 

Google Scholar 
144.Hõrak, P., Jenni-Eiermann, S., Ots, I. & Tegelmann, L. Health and reproduction: the sex-specific clinical profile of great tits (Parus major) in relation to breeding. Can. J. Zool. 76, 2235–2244 (1998).Article 

Google Scholar 
145.dos Santos Schmidt, E. M. et al. Serum biochemical parameters of female bronze turkeys (Meleagris gallopavo) during egg-laying season. Int J Poult Sci 9, 177–179 (2010).146.Lumeij, J. in Clinical biochemistry of domestic animals 857–883 (Elsevier, 1997).147.Whittington, C. M. & Belov, K. Tracing monotreme venom evolution in the genomics era. Toxins 6, 1260–1273 (2014).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
148.Grant, T. & Temple–Smith, P. Field biology of the platypus (Ornithorhynchus anatinus): historical and current perspectives. Philos. Trans. R. Soc. London. Ser. B Biol. Sci. 353, 1081–1091 (1998).149.Handasyde, K. & McDonald, I. Reproductive hormones and reproduction in the platypus. Progress Comp. Endocrinol., 184–185 (1993).150.Wikelski, M., Lynn, S., Breuner, J., Wingfield, J. & Kenagy, G. Energy metabolism, testosterone and corticosterone in white-crowned sparrows. J. Comp. Physiol. A. 185, 463–470 (1999).CAS 
Article 

Google Scholar 
151.Thomas, J. L., Parrott, M. L., Handasyde, K. A. & Temple-Smith, P. Female control of reproductive behaviour in the platypus (Ornithorhynchus anatinus), with notes on female competition for mating. Behaviour 155, 27–53 (2018).Article 

Google Scholar 
152.Hawke, T. et al. Long term movements and activity patterns of platypus on regulated rivers. Scientific Reports in press (2020).153.Andersen, N. A., Mesch, U., Lovell, D. J. & Nicol, S. C. The effects of sex, season, and hibernation on haematology and blood viscosity of free-ranging echidnas (Tachyglossus aculeatus). Can. J. Zool. 78, 174–181 (2000).Article 

Google Scholar 
154.Barnett, J., How, R. & Humphreys, W. Blood parameters in natural populations of Trichosurus species (Marsupialia: Phalangeridae). I. Age, sex and seasonal variation in T. caninus and T. vulpecula. II. Influence of habitat and population strategies of T. caninus and T. vulpecula. Aust. J. Zool. 27, 913–926 (1979).155.Fancourt, B. A. & Nicol, S. C. Hematologic and serum biochemical reference intervals for wild eastern quolls (Dasyurus viverrinus): variation by age, sex, and season. Vet. Clin. Pathol. 48, 114–124 (2019).PubMed 
Article 
PubMed Central 

Google Scholar 
156.McKenzie, S., Deane, E. & Burnett, L. Haematology and serum biochemistry of the tammar wallaby, Macropus eugenii. Comp. Clin. Pathol. 11, 229–237 (2002).CAS 
Article 

Google Scholar 
157.Schultz, D. J. et al. Investigations into the health of brush-tailed rock-wallabies (Petrogale penicillata) before and after reintroduction. Aust. Mamm. 33, 235–244 (2011).Article 

Google Scholar 
158.Warren, K. S., Holyoake, C. S., Friend, T. J., Yeap, L. & McConnell, M. Hematologic and serum biochemical reference intervals for the bilby (Macrotis lagotis). J. Wildl. Dis. 51, 889–895 (2015).CAS 
PubMed 
Article 
PubMed Central 

Google Scholar 
159.Woolford, L. et al. Serum biochemistry of free-ranging southern hairy-nosed wombats (Lasiorhinus latifrons). J. Zool. Wildl. Med. 50, 937–946 (2020).Article 

Google Scholar 
160.Sidman, C. L. et al. Increased expression of major histocompatibility complex antigens on lymphocytes from aged mice. Proc. Natl. Acad. Sci. 84, 7624–7628 (1987).ADS 
CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
161.Gust, N. & Griffiths, J. Platypus mucormycosis and its conservation implications. Australasian Mycol. 28, 1–8 (2009).
Google Scholar 
162.MacGregor, J. W. et al. Assessing body condition in the platypus (Ornithorhynchus anatinus): A comparison of new and old methods. Aust. J. Zool. 64, 421–429. https://doi.org/10.1071/ZO16071 (2016).Article 

Google Scholar 
163.Peig, J. & Green, A. J. The paradigm of body condition: a critical reappraisal of current methods based on mass and length. Funct. Ecol. 24, 1323–1332 (2010).Article 

Google Scholar 
164.Woinarski, J. C., Burbidge, A. A. & Harrison, P. L. The action plan for Australian mammals 2012. (2014).165.Parer, J. & Metcalfe, J. Respiratory studies of monotremes. I. Blood of the platypus (Ornithorynchus anatinus). Respir. Physiol. 3, 136–142 (1967).CAS 
PubMed 
Article 

Google Scholar 
166.Isaacks, R., Nicol, S., Sallis, J., Zeidler, R. & Kim, H. D. Erythrocyte phosphates and hemoglobin function in monotremes and some marsupials. Am. J. Physiol. Regul. Integr. Comp. Physiol. 246, R236–R241 (1984).CAS 
Article 

Google Scholar  More

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1.Feynman, J. & Ruzmaikin, R. in Climate Change and Agriculture (Ed. Hussain, S.) (IntechOpen, 2018); https://doi.org/10.5772/intechopen.833442.Ferrio, J. P., Voltas, J. & Araus, J. L. in Crop Stress Management and Global Climate Change (eds Araus, J. L. & Slafer, G. A.) 1–14 (CABI Publishing, 2011).3.Chaloner, T. M., Gurr, S. J. & Bebber, P. Nat. Clim. Change https://doi.org/10.1038/s41558-021-01104-8 (2021).Article 

Google Scholar 
4.Saunders, D. G. O., Pretorius, Z. A. & Hovmoller, M. S. Commun. Biol. 2, 51 (2019).Article 

Google Scholar 
5.Fisher, M. C. et al. mBio 11, e00449-20 (2020).
Google Scholar 
6.Bebber, D. P., Ramotowski, M. A. T. & Gurr, S. J. Nat. Clim. Change 3, 985–988 (2013).Article 

Google Scholar 
7.Turner, R. S. Hist. Stud. Phys. Biol. 35, 341–370 (2005).Article 

Google Scholar 
8.Sen, A. in Poverty and Famines: An Essay on Entitlement and Deprivation (Clarendon Press, 1981).9.Gottwald, T., Luo, W., Posny, D., Riley, T. & Louws, F. Philos. Trans. R. Soc. Lond. B Biol. Sci. 374, 20180260 (2019).Article 

Google Scholar 
10.Fisher, M. C. et al. Nature 484, 186–194 (2012).CAS 
Article 

Google Scholar 
11.Islam, M. T. et al. BMC Biol. 14, 84 (2016).Article 

Google Scholar 
12.Gregory, P. J., Johnson, S. N., Newton, A. C. & Ingram, J. S. I. J. Exp. Bot. 60, 2827–2838 (2009).CAS 
Article 

Google Scholar 
13.Lehmann, P. et al. Front. Ecol. Environ. 18, 141–150 (2020).Article 

Google Scholar 
14.Plumpton, H. & Wentworth, J. Climate Change and Agriculture (The Parliamentary Office of Science and Technology, 2019).15.Orton, E. S., Lewis, C. M., Davey, P. E., Radhakrishnan, G. V. & Saunders, D. G. O. New Dis. Rep. 40, 11 (2019).Article 

Google Scholar  More

1.Spiertz, J. H. J. Nitrogen, sustainable agriculture and food security: a review. Agron. Sustain. Dev. 30, 43–55. https://doi.org/10.1051/agro:2008064 (2010).CAS 
Article 

Google Scholar 
2.Kowalchuk, G. A. & Stephen, J. R. Ammonia-oxidizing bacteria: a model for molecular microbial ecology. Annu. Rev. Microbiol. 55, 485–529. https://doi.org/10.1146/annurev.micro.55.1.485 (2001).CAS 
Article 
PubMed 

Google Scholar 
3.Zumft, W. G. Cell biology and molecular basis of denitrification. Microbiol. Mol. Biol. Rev. 61, 533–616 (1997).CAS 
PubMed 
PubMed Central 

Google Scholar 
4.Gelfand, I. & Yakir, D. Influence of nitrite accumulation in association with seasonal patterns and mineralization of soil nitrogen in a semi-arid pine forest. Soil Biol. Biochem. 40, 415–424. https://doi.org/10.1016/j.soilbio.2007.09.005 (2008).CAS 
Article 

Google Scholar 
5.Subbarao, G. V. et al. Scope and strategies for regulation of nitrification in agricultural systems-challenges and opportunities. Crit. Rev. Plant Sci. 25, 303–335. https://doi.org/10.1080/07352680600794232 (2006).CAS 
Article 

Google Scholar 
6.Shen, T., Stieglmeier, M., Dai, J., Urich, T. & Schleper, C. Responses of the terrestrial ammonia-oxidizing archaeon Ca. Nitrososphaera viennensis and the ammonia-oxidizing bacterium Nitrosospira multiformis to nitrification inhibitors. FEMS Microbiol. Lett. 344, 121–129, https://doi.org/10.1111/1574-6968.12164 (2013).7.Prosser, J. I., Head, I. M. & Stein, L. Y. in The Prokaryotes – Alphaproteobacteria and Betaproteobacteria (ed DeLong Rosenberg E., E.F., Lory, S., Stackebrandt, E., Thompson, F.) 901–918 (Springer-Verlag, 2014).8.Hayatsu, M. et al. An acid-tolerant ammonia-oxidizing gamma-proteobacterium from soil. ISME J. 11, 1130–1141. https://doi.org/10.1038/ismej.2016.191 (2017).CAS 
Article 
PubMed 
PubMed Central 

Google Scholar 
9.Alves, R.J.E., Minh, B.Q, Urich, T., von Haeseler, A. & Schleper, C. Unifying the global phylogeny and environmental distribution of ammonia-oxidising archaea based on amoA genes. Nat. Commun. 9, https://doi.org/10.1038/s41467-018-03861-1 (2018).10.Wang, H. Et al. Distinct distribution of archaea from soil to freshwater to estuary: implications of archaeal composition and function in different environments. Front. Microbiol. 11. https://doi.org/10.3389/fmicb.2020.576661 (2020).11.Prosser, J. I. & Nicol, G. W. Archaeal and bacterial ammonia-oxidisers in soil: the quest for niche specialisation and differentiation. Trends Microbiol. 20, 523–531. https://doi.org/10.1016/j.tim.2012.08.001 (2012).CAS 
Article 
PubMed 

Google Scholar 
12.Pester, M. et al. amoA-based consensus phylogeny of ammonia-oxidizing archaea and deep sequencing of amoA genes from soils of four different geographic regions. Environ. Microbiol. 14, 525–539. https://doi.org/10.1111/j.1462-2920.2011.02666.x (2012).CAS 
Article 
PubMed 
PubMed Central 

Google Scholar 
13.Spang, A. et al. The genome of the ammonia-oxidizing Candidatus Nitrososphaera gargensis: insights into metabolic versatility and environmental adaptations. Environ. Microbiol. 14, 3122–3145. https://doi.org/10.1111/j.1462-2920.2012.02893.x (2012).CAS 
Article 
PubMed 

Google Scholar 
14.Daims, H. et al. Complete nitrification by Nitrospira bacteria. Nature 528, 504–509. https://doi.org/10.1038/nature16461 (2015).ADS 
CAS 
Article 
PubMed 
PubMed Central 

Google Scholar 
15.van Kessel, M. A. et al. Complete nitrification by a single microorganism. Nature 528, 555–559. https://doi.org/10.1038/nature16459 (2015).ADS 
CAS 
Article 
PubMed 
PubMed Central 

Google Scholar 
16.Junier, P. et al. Phylogenetic and functional marker genes to study ammonia-oxidizing microorganisms (AOM) in the environment. Appl. Microbiol. Biotechnol. 85, 425–440. https://doi.org/10.1007/s00253-009-2228-9 (2010).CAS 
Article 
PubMed 

Google Scholar 
17.Leininger, S. et al. Archaea predominate among ammonia-oxidizing prokaryotes in soils. Nature 442, 806–809. https://doi.org/10.1038/nature04983 (2006).ADS 
CAS 
Article 
PubMed 
PubMed Central 

Google Scholar 
18.Zhalnina, K. et al. Ca. Nitrososphaera and Bradyrhizobium are inversely correlated and related to agricultural practices in long-term field experiments. Front. Microbiol. 4, 104, https://doi.org/10.3389/fmicb.2013.00104 (2013).19.Pjevac, P. et al. AmoA-targeted polymerase chain reaction primers for the specific detection and quantification of comammox Nitrospira in the environment. Front. Microbiol. 8, 1508. https://doi.org/10.3389/fmicb.2017.01508 (2017).Article 
PubMed 
PubMed Central 

Google Scholar 
20.Palomo, A., Dechesne, A. & Smets, B. F. Genomic profiling of Nitrospira species reveals ecological success of comammox Nitrospira. bioRxiv, 612226, https://doi.org/10.1101/612226 (2019).21.Poghosyan, L. et al. Metagenomic recovery of two distinct comammox Nitrospira from the terrestrial subsurface. Environ. Microbiol. 21, 3627–3637. https://doi.org/10.1111/1462-2920.14691 (2019).CAS 
Article 
PubMed 
PubMed Central 

Google Scholar 
22.Palomo, A. et al. Comparative genomics sheds light on niche differentiation and the evolutionary history of comammox Nitrospira. ISME J. 12, 1779–1793. https://doi.org/10.1038/s41396-018-0083-3 (2018).Article 
PubMed 
PubMed Central 

Google Scholar 
23.Strous, M. et al. Deciphering the evolution and metabolism of an anammox bacterium from a community genome. Nature 440, 790–794. https://doi.org/10.1038/nature04647 (2006).ADS 
Article 
PubMed 

Google Scholar 
24.De Boer, W. & Kowalchuk, G. A. Nitrification in acid soils: micro-organisms and mechanisms. Soil Biol. Biochem. 33, 853–866. https://doi.org/10.1016/s0038-0717(00)00247-9 (2001).Article 

Google Scholar 
25.Tourna, M. et al. Nitrososphaera viennensis, an ammonia oxidizing archaeon from soil. Proc. Natl. Acad. Sci. USA. 108, 8420–8425. https://doi.org/10.1073/pnas.1013488108 (2011).ADS 
Article 
PubMed 
PubMed Central 

Google Scholar 
26.Arp, D. J., Chain, P. S. G. & Klotz, M. G. The impact of genome analyses on our understanding of ammonia-oxidizing bacteria. Annu. Rev. Microbiol. 61, 503–528 (2007).CAS 
Article 

Google Scholar 
27.Simon, J. & Klotz, M. G. Diversity and evolution of bioenergetic systems involved in microbial nitrogen compound transformations. Biochim. Biophys. Acta 114–135, 2013. https://doi.org/10.1016/j.bbabio.2012.07.005 (1827).CAS 
Article 

Google Scholar 
28.Walker, C. B. et al. Nitrosopumilus maritimus genome reveals unique mechanisms for nitrification and autotrophy in globally distributed marine crenarchaea. Proc. Natl. Acad. Sci. USA 107, 8818–8823. https://doi.org/10.1073/pnas.0913533107 (2010).ADS 
Article 
PubMed 
PubMed Central 

Google Scholar 
29.Li, C. Y., Hu, H. W., Chen, Q. L., Chen, D. L. & He, J. Z. Comammox Nitrospira play an active role in nitrification of agricultural soils amended with nitrogen fertilizers. Soil Biol. Biochem. 138, https://doi.org/10.1016/j.soilbio.2019.107609 (2019).30.Li, C. Y., Hu, H. W., Chen, Q. L., Chen, D. L. & He, J. Z. Niche differentiation of clade A comammox Nitrospira and canonical ammonia oxidizers in selected forest soils. Soil Biol. Biochem. 149, https://doi.org/10.1016/j.soilbio.2020.107925 (2020).31.Daims, H., Lucker, S. & Wagner, M. A new perspective on microbes formerly known as nitrite-oxidizing bacteria. Trends Microbiol. 24, 699–712. https://doi.org/10.1016/j.tim.2016.05.004 (2016).CAS 
Article 
PubMed 
PubMed Central 

Google Scholar 
32.Castelle, C. J. et al. Extraordinary phylogenetic diversity and metabolic versatility in aquifer sediment. Nat. Commun. 4, 2120. https://doi.org/10.1038/ncomms3120 (2013).ADS 
Article 
PubMed 

Google Scholar 
33.Sorokin, D. Y. et al. Nitrification expanded: discovery, physiology and genomics of a nitrite-oxidizing bacterium from the phylum Chloroflexi. ISME J. 6, 2245–2256. https://doi.org/10.1038/ismej.2012.70 (2012).CAS 
Article 
PubMed 
PubMed Central 

Google Scholar 
34.Lucker, S. et al. A Nitrospira metagenome illuminates the physiology and evolution of globally important nitrite-oxidizing bacteria. Proc. Natl. Acad. Sci. USA. 107, 13479–13484. https://doi.org/10.1073/pnas.1003860107 (2010).ADS 
Article 
PubMed 
PubMed Central 

Google Scholar 
35.Mendum, T. A., Sockett, R. E. & Hirsch, P. R. Use of molecular and isotopic techniques to monitor the response of autotrophic ammonia-oxidizing populations of the beta subdivision of the class Proteobacteria in arable soils to nitrogen fertilizer. Appl. Environ. Microbiol. 65, 4155–4162 (1999).ADS 
CAS 
Article 

Google Scholar 
36.Hirsch, P. R. et al. Soil resilience and recovery: rapid community responses to management changes. Plant Soil 412, 283–297. https://doi.org/10.1007/s11104-016-3068-x (2017).CAS 
Article 
PubMed 

Google Scholar 
37.Hirsch, P. R., Mauchline, T. H. & Clark, I. M. Culture-independent molecular techniques for soil microbial ecology. Soil Biol. Biochem. 42, 878–887. https://doi.org/10.1016/j.soilbio.2010.02.019 (2010).CAS 
Article 

Google Scholar 
38.Vetrovsky, T. & Baldrian, P. The variability of the 16S rRNA gene in bacterial genomes and its consequences for bacterial community analyses. PLoS ONE 8, e57923. https://doi.org/10.1371/journal.pone.0057923 (2013).ADS 
CAS 
Article 
PubMed 
PubMed Central 

Google Scholar 
39.Fu, Q.L., Clark, I.M., Zhu, J., Hu, H.Q. & Hirsch, P.R The short-term effects of nitrification inhibitors on the abundance and expression of ammonia. and nitrite oxidizers in a long-term field experiment comparing land management. Biol Fertil Soils. 54, 163–172. https://doi.org/10.1007/s00374-017-1249-2 (2018).40.Bollmann, A., Schmidt, I., Saunders, A. M. & Nicolaisen, M. H. Influence of starvation on potential ammonia-oxidizing activity and amoA mRNA levels of Nitrosospira briensis. Appl. Environ. Microbiol. 71, 1276–1282. https://doi.org/10.1128/aem.71.3.1276-1282.2005 (2005).ADS 
CAS 
Article 
PubMed 
PubMed Central 

Google Scholar 
41.Li, C. Y., Hu, H. W., Chen, Q. L., Chen, D. L. & He, J. Z. Growth of comammox Nitrospira is inhibited by nitrification inhibitors in agricultural soils. J. Soils Sediments 20, 621–628. https://doi.org/10.1007/s11368-019-02442-z (2020).CAS 
Article 

Google Scholar 
42.Koch, H., van Kessel, M. A. H. J. & Lücker, S. Complete nitrification: insights into the ecophysiology of comammox Nitrospira. Appl. Microbiol. Biotechnol. 103, 177–189. https://doi.org/10.1007/s00253-018-9486-3 (2019).CAS 
Article 
PubMed 

Google Scholar 
43.Placella, S. A. & Firestone, M. K. Transcriptional response of nitrifying communities to wetting of dry soil. Appl. Environ. Microbiol. 79, 3294–3302. https://doi.org/10.1128/AEM.00404-13 (2013).ADS 
CAS 
Article 
PubMed 
PubMed Central 

Google Scholar 
44.Hirsch, P. R. et al. Starving the soil of plant inputs for 50 years reduces abundance but not diversity of soil bacterial communities. Soil Biol. Biochem. 41, 2021–2024. https://doi.org/10.1016/j.soilbio.2009.07.011 (2009).CAS 
Article 

Google Scholar 
45.Clark, I. M., Buchkina, N., Jhurreea, D., Goulding, K. W. & Hirsch, P. R. Impacts of nitrogen application rates on the activity and diversity of denitrifying bacteria in the Broadbalk Wheat Experiment. Philos. Trans. R. Soc. Lond. B Biol. Sci. 367, 1235–1244, https://doi.org/10.1098/rstb.2011.0314 (2012).46.Buchfink, B., Xie, C. & Huson, D. H. Fast and sensitive protein alignment using DIAMOND. Nat. Meth. 12, 59–60 (2015).CAS 
Article 

Google Scholar 
47.Huson, D. H., Auch, A. F., Qi, J. & Schuster, S. C. MEGAN analysis of metagenomic data. Genome Res. 17, 377–386. https://doi.org/10.1101/gr.5969107 (2007).CAS 
Article 
PubMed 
PubMed Central 

Google Scholar 
48.Katoh, K. & Standley, D. M. MAFFT Multiple Sequence Alignment Software Version 7: improvements in performance and usability. Mol. Biol. Evol. 30, 772–780. https://doi.org/10.1093/molbev/mst010 (2013).CAS 
Article 
PubMed 
PubMed Central 

Google Scholar  More

1.Feldhaar, H. Bacterial symbionts as mediators of ecologically important traits of insect hosts. Ecol. Entomol. 36, 533–543 (2011).Article 

Google Scholar 
2.Popa, V., Deziel, E., Lavallee, R., Bauce, E. & Guertin, C. The complex symbiotic relationships of bark beetles with microorganisms: A potential practical approach for biological control in forestry. Pest Manag. Sci. 68, 963–975. https://doi.org/10.1002/ps.3307 (2012).CAS 
Article 
PubMed 

Google Scholar 
3.Qadri, M., Short, S., Gast, K., Hernandez, J. & Wong, A.C.-N. Microbiome innovation in agriculture: Development of microbial based tools for insect pest management. Front. Sustain. Food Syst. 4, 547751. https://doi.org/10.3389/fsufs (2020).Article 

Google Scholar 
4.Vasanthakumar, A., Handelsman, J., Schloss, P. D., Bauer, L. S. & Raffa, K. F. Gut microbiota of an invasive subcortical beetle, Agrilus planipennis Fairmaire, across various life stages. Environ. Entomol. 37, 1344–1353 (2008).PubMed 
Article 

Google Scholar 
5.Zhang, Z., Jiao, S., Li, X. & Li, M. Bacterial and fungal gut communities of Agrilus mali at different developmental stages and fed different diets. Sci. Rep. 8, 15634. https://doi.org/10.1038/s41598-018-34127-x (2018).CAS 
Article 
PubMed 
PubMed Central 
ADS 

Google Scholar 
6.Franzini, P. Z., Ramond, J.-B., Scholtz, C. H., Sole, C. L., Ronca, S. & Cowan, D. A. The gut microbiomes of two Pachysoma MacLeay desert dung beetle species (Coleoptera: Scarabaeidae: Scarabaeinae) feeding on different diets. PLoS ONE 11, e0161118 (2016).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
7.Colman, D. R., Toolson, E. C. & Takacs-Vesbach, C. Do diet and taxonomy influence insect gut bacterial communities?. Mol. Ecol. 21, 5124–5137 (2012).CAS 
PubMed 
Article 

Google Scholar 
8.Kim, J. M. Choi, M.-Y., Kim, J.-W., Lee, S. A., Ahn, J.-H., Song, J., Kim, S.-H. & Weon, H.-Y. Effects of diet type, developmental stage, and gut compartment in the gut bacterial communities of two Cerambycidae species (Coleoptera). J. Microbiol. 55, 21–30 (2017).CAS 
PubMed 
Article 

Google Scholar 
9.Ferguson, L. V.  Dhakal, P., Lebenzon, J. E., Heinrichs, D. E., Bucking, C., & Sinclair B. J. Seasonal shifts in the insect gut microbiome are concurrent with changes in cold tolerance and immunity. Funct. Ecol. 32, 2357–2368 (2018).Article 

Google Scholar 
10.Mason, C. J., Hanshew, A. S. & Raffa, K. F. Contributions by host trees and insect activity to bacterial communities in Dendroctonus valens (Coleoptera: Curculionidae) galleries, and their high overlap with other microbial assemblages of bark beetles. Environ. Entomol. 45, 348–356. https://doi.org/10.1093/ee/nvv184 (2015).CAS 
Article 
PubMed 

Google Scholar 
11.Mogouong, J., Constant, P., Lavallée, R. & Guertin, C. Gut microbiome of the emerald ash borer, Agrilus planipennis Fairmaire, and its relationship with insect population density. FEMS Microbiol. Ecol. https://doi.org/10.1093/femsec/fiaa141 (2020).Article 
PubMed 

Google Scholar 
12.Moran, N. A. & Yun, Y. Experimental replacement of an obligate insect symbiont. Proc. Natl. Acad. Sci. 112, 2093–2096 (2015).CAS 
PubMed 
PubMed Central 
Article 
ADS 

Google Scholar 
13.Borcard, D., Legendre, P. & Drapeau, P. Partialling out the spatial component of ecological variation. Ecology 73, 1045–1055 (1992).Article 

Google Scholar 
14.Peres-Neto, P. R., Legendre, P., Dray, S. & Borcard, D. Variation partitioning of species data matrices: Estimation and comparison of fractions. Ecology 87, 2614–2625 (2006).PubMed 
Article 

Google Scholar 
15.Cappaert, D., McCullough, D. G., Poland, T. M. & Siegert, N. W. Emerald ash borer in North America: A research and regulatory challenge. (2005).16.Kovacs, K. F., Haight, R. G., McCullough, D. G., Mercader, R. J., Siegert, N. W. & Liebhold, A. M. Cost of potential emerald ash borer damage in U.S. communities, 2009–2019. Ecol. Econ. 69, 569–578 (2010).Article 

Google Scholar 
17.Aukema, J. E., Leung, B., Kovacs, K., Chivers, C., Britton, K. O., Englin, J., Frankel, S. J., Haight, R. G., Holmes, T. P., Liebhold, A. M., McCullough, D. G. & Von Holle, B. Economic impacts of non-native forest insects in the continental United States. PLoS ONE 6, e24587 (2011).CAS 
PubMed 
PubMed Central 
Article 
ADS 

Google Scholar 
18.Poland, T. M. & McCullough, D. G. Emerald ash borer: Invasion of the urban forest and the threat to North America’s ash resource. J. For. 104, 118–124 (2006).
Google Scholar 
19.Herms, D. A. & McCullough, D. G. Emerald ash borer invasion of North America: History, biology, ecology, impacts, and management. Annu. Rev. Entomol. 59, 13–30. https://doi.org/10.1146/annurev-ento-011613-162051 (2014).CAS 
Article 
PubMed 

Google Scholar 
20.McCullough, D. G. Challenges, tactics and integrated management of emerald ash borer in North America. For. Int. J. For. Res. 93, 197–211 (2020).
Google Scholar 
21.Gandhi, K. J. & Herms, D. A. North American arthropods at risk due to widespread Fraxinus mortality caused by the alien emerald ash borer. Biol. Invasions 12, 1839–1846 (2010).Article 

Google Scholar 
22.Slesak, R. A., Lenhart, C. F., Brooks, K. N., D’Amato, A. W. & Palik, B. J. Water table response to harvesting and simulated emerald ash borer mortality in black ash wetlands in Minnesota, USA. Can. J. For. Res. 44, 961–968 (2014).Article 

Google Scholar 
23.Wielkopolan, B. & Obrepalska-Steplowska, A. Three-way interaction among plants, bacteria, and coleopteran insects. Planta 244, 313–332. https://doi.org/10.1007/s00425-016-2543-1 (2016).CAS 
Article 
PubMed 
PubMed Central 

Google Scholar 
24.Howe, G. A. & Jander, G. Plant immunity to insect herbivores. Annu. Rev. Plant Biol. 59, 41–66 (2008).CAS 
PubMed 
Article 

Google Scholar 
25.Stam, J. M., Kroes, A., Li, Y., Gols, R., van Loon, J. J. A., Poelman, E. H. & Dicke, M. Plant interactions with multiple insect herbivores: from community to genes. Annu. Rev. Plant Biol. 65, 689–713 (2014).CAS 
PubMed 
Article 

Google Scholar 
26.Douglas, A. E. Multiorganismal insects: Diversity and function of resident microorganisms. Annu. Rev. Entomol. 60, 17–34 (2015).CAS 
PubMed 
Article 

Google Scholar 
27.Vorholt, J. A. Microbial life in the phyllosphere. Nat. Rev. Microbiol. 10, 828 (2012).CAS 
PubMed 
Article 

Google Scholar 
28.Shikano, I., Rosa, C., Tan, C.-W. & Felton, G. W. Tritrophic interactions: Microbe-mediated plant effects on insect herbivores. Annu. Rev. Phytopathol. 55, 313–331 (2017).CAS 
PubMed 
Article 

Google Scholar 
29.Schowalter, T. D. Insect Ecology: An Ecosystem Approach (Academic Press, 2016).
Google Scholar 
30.Oliverio, A. M., Gan, H., Wickings, K. & Fierer, N. A DNA metabarcoding approach to characterize soil arthropod communities. Soil Biol. Biochem. 125, 37–43 (2018).CAS 
Article 

Google Scholar 
31.Lennon, J. T., Muscarella, M. E., Placella, S. A. & Lehmkuhl, B. K. How, when, and where relic DNA affects microbial diversity. MBio 9, e00637-e618. https://doi.org/10.1128/mBio.00637-18 (2018).Article 
PubMed 
PubMed Central 

Google Scholar 
32.Humphrey, P. T. & Whiteman, N. K. Insect herbivory reshapes a native leaf microbiome. Nat. Ecol. Evol. 4, 221–229 (2020).PubMed 
PubMed Central 
Article 

Google Scholar 
33.Yutthammo, C., Thongthammachat, N., Pinphanichakarn, P. & Luepromchai, E. Diversity and activity of PAH-degrading bacteria in the phyllosphere of ornamental plants. Microb. Ecol. 59, 357–368 (2010).CAS 
PubMed 
Article 

Google Scholar 
34.Kadivar, H. & Stapleton, A. E. Ultraviolet radiation alters maize phyllosphere bacterial diversity. Microb. Ecol. 45, 353–361 (2003).CAS 
PubMed 
Article 

Google Scholar 
35.Thapa, S. & Prasanna, R. Prospecting the characteristics and significance of the phyllosphere microbiome. Ann. Microbiol. 68, 229–245 (2018).CAS 
Article 

Google Scholar 
36.Kembel, S. W., O’Connor, T. K., Arnold, H. K., Hubbell, S. P., Wright, S. J. & Green, J. L. Relationships between phyllosphere bacterial communities and plant functional traits in a neotropical forest. Proc. Natl. Acad. Sci. 111, 13715–13720 (2014).37.Biedermann, P. H. & Vega, F. E. Ecology and evolution of insect–fungus mutualisms. Annu. Rev. Entomol. 65, 431–455 (2020).CAS 
PubMed 
Article 

Google Scholar 
38.Fischer, R., Ostafe, R. & Twyman, R. M. In: Yellow Biotechnology II: Insect Biotechnology in Plant Protection and Industry. Ch. Cellulases from insects, 51–64 (Springer, 2013).39.Watanabe, H. & Tokuda, G. Cellulolytic systems in insects. Ann. Rev. Entomol. 55, 609–632 (2010).CAS 
Article 

Google Scholar 
40.Mittapalli, O., Bai, X., Mamidala, P., Rajarapu, S. P., Bonello, P. & Herms, D. A. Tissue-specific transcriptomics of the exotic invasive insect pest emerald ash borer (Agrilus planipennis). PLoS ONE 5, e13708 (2010).PubMed 
PubMed Central 
Article 
ADS 
CAS 

Google Scholar 
41.Vacheron, J., Péchy-Tarr, M., Brochet, S., Heiman, C. M., Stojiljkovic, M., Maurhofer, M. & Keel, C. T6SS contributes to gut microbiome invasion and killing of an herbivorous pest insect by plant-beneficial Pseudomonas protegens. ISME J. 13, 1318–1329. https://doi.org/10.1038/s41396-019-0353-8 (2019).CAS 
Article 
PubMed 
PubMed Central 

Google Scholar 
42.Smith, C. C., Snowberg, L. K., Caporaso, J. G., Knight, R. & Bolnick, D. I. Dietary input of microbes and host genetic variation shape among-population differences in stickleback gut microbiota. ISME J. 9, 2515–2526 (2015).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
43.Agler, M. T., Ruhe, J., Kroll, S., Morhenn, C., Kim, S.-T., Weigel, D. & Kemen, E. M. Microbial hub taxa link host and abiotic factors to plant microbiome variation. PLoS Biol. 14, e1002352 (2016).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
44.Gupta, A. & Nair, S. Dynamics of insect-microbiome interaction influence host and microbial symbiont. Front. Microbiol. 11, 1357 (2020).PubMed 
PubMed Central 
Article 

Google Scholar 
45.AFSQ. La clé forestière. https://afsq.org/cle-forestiere/accueil.html. Association forestière du Sud du Québec (2018).46.Comeau, A. M., Li, W. K. W., Tremblay, J. -É., Carmack, E. C. & Lovejoy, C. Arctic Ocean Microbial Community Structure before and after the 2007 Record Sea Ice Minimum. PLoS ONE 6, e27492. https://doi.org/10.1371/journal.pone.0027492 (2011).CAS 
Article 
PubMed 
PubMed Central 
ADS 

Google Scholar 
47.Toju, H., Tanabe, A. S., Yamamoto, S. & Sato, H. High-coverage ITS primers for the DNA-based identification of ascomycetes and basidiomycetes in environmental samples. PLoS ONE 7, e40863. https://doi.org/10.1371/journal.pone.0040863 (2012).CAS 
Article 
PubMed 
PubMed Central 
ADS 

Google Scholar 
48.Edgar, R. C. UNOISE2: Improved error-correction for Illumina 16S and ITS amplicon sequencing. BioRxiv 081257 (2016).49.Edgar, R. C. Search and clustering orders of magnitude faster than BLAST. Bioinformatics 26, 2460–2461 (2010).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
50.Callahan, B. J., McMurdie, P. J. & Holmes, S. P. Exact sequence variants should replace operational taxonomic units in marker-gene data analysis. ISME J. 11, 2639 (2017).PubMed 
PubMed Central 
Article 

Google Scholar 
51.Glassman, S. I. & Martiny, J. B. H. Broadscale ecological patterns are robust to use of exact sequence variants versus operational taxonomic units. mSphere 3, e00148-e118. https://doi.org/10.1128/mSphere.00148-18 (2018).CAS 
Article 
PubMed 
PubMed Central 

Google Scholar 
52.Cole, J. R., Wang, Q., Fish, J. A., Chai, B., McGarrell, D. M., Sun, Y.,  Brown, C. T.,  Porras-Alfaro, A., Kuske, C. R. & Tiedje J. M. Ribosomal database project: Data and tools for high throughput rRNA analysis. Nucleic Acids Res. 42, D633-642. https://doi.org/10.1093/nar/gkt1244 (2014).CAS 
Article 
PubMed 

Google Scholar 
53.Wang, Q., Garrity, G. M., Tiedje, J. M. & Cole, J. R. Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl. Environ. Microbiol. 73, 5261–5267 (2007).CAS 
PubMed 
PubMed Central 
Article 
ADS 

Google Scholar 
54.Chen, Y. & Poland, T. M. Interactive influence of leaf age, light intensity, and girdling on green ash foliar chemistry and emerald ash borer development. J. Chem. Ecol. 35, 806–815. https://doi.org/10.1007/s10886-009-9661-1 (2009).CAS 
Article 
PubMed 

Google Scholar 
55.Bi, J. L., Toscano, N. C. & Madore, M. A. Effect of urea fertilizer application on soluble protein and free amino acid content of cotton petioles in relation to silverleaf whitefly (Bemisia argentifolii) populations. J. Chem. Ecol. 29, 747–761. https://doi.org/10.1023/a:1022880905834 (2003).CAS 
Article 
PubMed 

Google Scholar 
56.Torti, S. D., Dearing, M. D. & Kursar, T. A. Extraction of phenolic compounds from fresh leaves: A comparison of methods. J. Chem. Ecol. 21, 117–125 (1995).CAS 
PubMed 
Article 

Google Scholar 
57.Hagerman, A. E. Extraction of tannin from fresh and preserved leaves. J. Chem. Ecol. 14, 453–461 (1988).CAS 
PubMed 
Article 

Google Scholar 
58.Beauchemin, N. J., Furnholm,T., Lavenus, J., Svistoonoff, S., Doumas, P., Bogusz, D., Laplaze, L. & Tisa L. S. Casuarina root exudates alter the physiology, surface properties, and plant infectivity of Frankia sp. strain CcI3. Appl. Environ. Microbiol. 78, 575–580 (2012).CAS 
PubMed 
PubMed Central 
Article 
ADS 

Google Scholar 
59.Garg, B. Plant Analysis: Comprehensive Methods and Protocols (Scientific Publishers, 2012).
Google Scholar 
60.Wellburn, R. The spectral determination of chlorophylls a and b, as well as total carotenoids, using various solvents with spectrophotometers of different resolution. J. Plant Physiol. 144, 307–313 (1994).CAS 
Article 

Google Scholar 
61.Marquis, R. J., Newell, E. A. & Villegas, A. C. Non-structural carbohydrate accumulation and use in an understorey rain-forest shrub and relevance for the impact of leaf herbivory. Funct. Ecol. 11, 636–643. https://doi.org/10.1046/j.1365-2435.1997.00139.x (1997).Article 

Google Scholar 
62.Garcia, A. M. N., Moumen, A., Ruiz, D. Y. & Alcaide, E. M. Chemical composition and nutrients availability for goats and sheep of two-stage olive cake and olive leaves. Anim. Feed Sci. Technol. 107, 61–74 (2003).Article 
CAS 

Google Scholar 
63.Van Soest, P. V., Robertson, J. & Lewis, B. Methods for dietary fiber, neutral detergent fiber, and nonstarch polysaccharides in relation to animal nutrition. J. Dairy Sci. 74, 3583–3597 (1991).PubMed 
Article 

Google Scholar 
64.Oksanen, J., Blanchet, F. G., Friendly, M., Kindt, R., Legendre, P., McGlinn, D., Minchin, P. R. & O’Hara, R. B. Package ‘vegan’. R package version 2.5-6 (2019)65.Borcard, D., Gillet, F. & Legendre, P. Numerical Ecology with R (Springer, 2018).MATH 
Book 

Google Scholar 
66.Kembel, S. W., Eisen, J. A., Pollard, K. S. & Green, J. L. The phylogenetic diversity of metagenomes. PLoS ONE 6, e23214 (2011).CAS 
PubMed 
PubMed Central 
Article 
ADS 

Google Scholar 
67.Faith, D. P. Conservation evaluation and phylogenetic diversity. Biol. Cons. 61, 1–10 (1992).Article 

Google Scholar 
68.Kembel, S. W.,  Cowan, P. D., Helmus, M. R., Cornwell, W. K., Morlon, H., Ackerly, D. D., Blomberg, S. P., & Webb, C. O. Picante: R tools for integrating phylogenies and ecology. Bioinformatics 26, 1463–1464 (2010).CAS 
PubMed 
Article 

Google Scholar 
69.Legendre, P. & De Cáceres, M. Beta diversity as the variance of community data: Dissimilarity coefficients and partitioning. Ecol. Lett. 16, 951–963 (2013).PubMed 
Article 

Google Scholar 
70.Dray, S., Bauman, D., Blanchet, G., Borcard, D., Clappe, S., Guenard, G., Jombart, T., Larocque, G., Legendre, P., Madi, N, Wagner H. H. Package ‘adespatial’, version 0.3-14. R Package version 2.5.6 (2018).71.De Cáceres, M., Legendre, P. & Moretti, M. Improving indicator species analysis by combining groups of sites. Oikos 119, 1674–1684 (2010).Article 

Google Scholar 
72.De Caceres, M., Jansen, F. & Caceres, D. Package ‘indicspecies’, version 1.7.9. R package version 2.5.6 (2016).73.Blanchet, F. G., Legendre, P. & Borcard, D. Forward selection of explanatory variables. Ecology 89, 2623–2632 (2008).PubMed 
Article 

Google Scholar  More

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