Ecology

Zhao, Q. G., Huang, G. Q. & Ma, Y. Q. The ecological environment conditions and construction of an ecological civilization in China. Acta Ecol. Sin. 36, 6328–6335 (2016).
Google Scholar 
Jiang, Y. China’s water scarcity. J. Environ. Manag. 90, 3185–3196 (2009).Article 

Google Scholar 
Jacob, D. J. & Winner, D. A. Effect of climate change on air quality. Atmos. Environ. 43, 51–63 (2009).Article 
ADS 
CAS 

Google Scholar 
Shahmohamadi, P., Che-Ani, A. I., Ramly, A., Maulud, K. N. A. & Mohd-Nor, M. F. I. Reducing urban heat island effects: A systematic review to achieve energy consumption balance. Int. J. Phys. Sci. 5, 626–636 (2010).
Google Scholar 
Shan, W. et al. Ecological environment quality assessment based on remote sensing data for land consolidation. J. Clean. Prod. 239, 118126 (2019).Article 

Google Scholar 
Cheng, R. et al. Decomposing reflectance spectra to track gross primary production in a subalpine evergreen forest. Biogeosciences 17, 4523–4544 (2020).Article 
ADS 
CAS 

Google Scholar 
Ochoa-Gaona, S. et al. A multi-criterion index for the evaluation of local tropical forest conditions in Mexico. For. Ecol. Manag. 260, 618–627 (2010).Article 

Google Scholar 
Zuromski, L. M. et al. Solar-induced fluorescence detects interannual variation in gross primary production of coniferous forests in the western United States. Geophys. Res. Lett. 45, 7184–7193 (2018).Article 
ADS 

Google Scholar 
Wingard, G. L. & Lorenz, J. J. Integrated conceptual ecological model and habitat indices for the southwest Florida coastal wetlands. Ecol. Ind. 44, 92–107 (2014).Article 

Google Scholar 
Zhou, X. H., Zhang, F., Zhang, H. W., Zhang, X. L. & Yuan, J. A study of soil salinity inversion based on multispectral remote sensing index in Ebinur lake wetland nature reserve. Spectrosc. Spectral Anal. 39, 1229–1235 (2019).CAS 

Google Scholar 
Jiang, M. Z., Chen, H. Y., Chen, Q. H., Wu, H. Y. & Chen, P. Wetland ecosystem integrity and its variation in an estuary using the EBLE index. Ecol. Ind. 48, 252–262 (2015).Article 

Google Scholar 
Lv, J. X. et al. Wetland loss identification and evaluation based on landscape and remote sensing indices in Xiong’an new area. Remote Sens. 11, 2834 (2019).Article 
ADS 

Google Scholar 
Bi, X. et al. Assessment of spatio-temporal variation and driving mechanism of ecological environment quality in the arid regions of Central Asia, Xinjiang. Int. J. Environ. Res. Public Health 18, 7111 (2021).Article 
PubMed 
PubMed Central 

Google Scholar 
Leroux, L. et al. Maize yield estimation in West Africa from crop process-induced combinations of multi-domain remote sensing indices. Eur. J. Agron. 108, 11–26 (2019).Article 

Google Scholar 
Liran, O., Shir, O. M., Levy, S., Grunfeld, A. & Shelly, Y. Novel remote sensing index of electron transport rate predicts primary production and crop health in L. sativa and Z. mays. Remote Sens. 12, 1718 (2020).Article 
ADS 

Google Scholar 
Zang, Y. Z. et al. Remote sensing index for mapping canola flowers using MODIS data. Remote Sens. 12, 3912 (2020).Article 
ADS 

Google Scholar 
Jia, T. X., Zhang, X. Q. & Dong, R. C. Long-term spatial and temporal monitoring of cyanobacteria blooms using MODIS on Google Earth Engine: A case study in Taihu lake. Remote Sens. 11, 2269 (2019).Article 
ADS 

Google Scholar 
Bai, Y. Analysis of vegetation dynamics in the Qinling-Daba Mountains region from MODIS time series data. Ecol. Ind. 129, 108029 (2021).Article 

Google Scholar 
Zhang, M., Lin, H., Long, X. R. & Cai, Y. T. Analyzing the spatiotemporal pattern and driving factors of wetland vegetation changes using 2000–2019 time-series Landsat data. Sci. Total Environ. 780, 146615 (2021).Article 
ADS 
CAS 
PubMed 

Google Scholar 
Qu, C., Li, P. J. & Zhang, C. M. A spectral index for winter wheat mapping using multi-temporal Landsat NDVI data of key growth stages. ISPRS J. Photogramm. Remote Sens. 175, 431–447 (2021).Article 
ADS 

Google Scholar 
Fu, Y. C., Lu, X. Y., Zhao, Y. L., Zeng, X. T. & Xia, L. L. Assessment impacts of weather and land use/land cover (LULC) change on urban vegetation net primary productivity (NPP): A case study in Guangzhou, China. Remote Sens. 5, 4125–4144 (2013).Article 
ADS 

Google Scholar 
Kulkarni, K. & Vijaya, P. NDBI based prediction of land use land cover change. J. Indian Soc. Remote Sens. 49, 2523–2537 (2021).Article 

Google Scholar 
Li, C. Y. & Zhang, N. Analysis of the daytime urban heat island mechanism in East China. J. Geophys. Res.-Atmos. 126, 2020 (2021).
Google Scholar 
Wang, Z. A. et al. Environmental and anthropogenic drivers of surface urban heat island intensity: A case-study in the Yangtze River Delta, China. Ecol. Indic. 128, 107845 (2021).Article 

Google Scholar 
Zhao, Y. J. et al. Impact of urban expansion on rain island effect in Jinan City, North China. Remote Sens. 13, 2989 (2021).Article 
ADS 

Google Scholar 
Xu, H. Q. A remote sensing urban ecological index and its application. Acta Ecol. Sin. 33, 7853–7862 (2013).
Google Scholar 
Gou, R. K. & Zhao, J. Eco-environmental quality monitoring in Beijing, China, using an RSEI-based approach combined with random forest algorithms. IEEE Access 8, 196657–196666 (2020).Article 

Google Scholar 
Jing, Y. Q. et al. Assessment of spatial and temporal variation of ecological environment quality in Ebinur Lake Wetland National Nature Reserve, Xinjiang, China. Ecol. Indic. 110, 107518 (2020).Article 

Google Scholar 
Airiken, M., Zhang, F., Chan, N. W. & Kung, H. T. Assessment of spatial and temporal ecological environment quality under land use change of urban agglomeration in the North Slope of Tianshan, China. Environ. Sci. Pollut. Res. 29, 12282–12299 (2022).Article 

Google Scholar 
Ji, J. W., Wang, S. X., Zhou, Y., Liu, W. L. & Wang, L. T. Studying the eco-environmental quality variations of Jing-Jin-Ji urban agglomeration and its driving factors in different ecosystem service regions from 2001 to 2015. IEEE Access 8, 154940–154952 (2020).Article 

Google Scholar 
Liu, Z. S., Wang, L. Y. & Li, B. Quality assessment of ecological environment based on Google Earth Engine: A case study of the Zhoushan Islands. Front. Ecol. Evol. 10, 918756 (2022).Article 

Google Scholar 
Xiong, Y. et al. Assessment of spatial-temporal changes of ecological environment quality based on RSEI and GEE: A case study in Erhai Lake Basin, Yunnan province, China. Ecol. Indic. 125, 107518 (2021).Article 

Google Scholar 
Zhang, Q. F. et al. Recent oasis dynamics and ecological security in the Tarim River Basin, Central Asia. Sustainability 14, 3372 (2022).Article 

Google Scholar 
Yuan, B. D. et al. Spatiotemporal change detection of ecological quality and the associated affecting factors in Dongting Lake Basin, based on RSEI. J. Clean. Prod. 302, 126995 (2021).Article 

Google Scholar 
Gao, W. L., Zhang, S. W., Rao, X. Y., Lin, X. & Li, R. S. Landsat TM/OLI-based ecological and environmental quality survey of Yellow River Basin, Inner Mongolia section. Remote Sens. 13, 4477 (2021).Article 
ADS 

Google Scholar 
Zhu, Q. et al. Relationship between ecological quality and ecosystem services in a red soil hilly watershed in southern China. Ecol. Ind. 121, 107119 (2021).Article 

Google Scholar 
Huang, H. P., Chen, W., Zhang, Y., Qiao, L. & Du, Y. Y. Analysis of ecological quality in Lhasa metropolitan area during 1990–2017 based on remote sensing and Google Earth Engine platform. J. Geogr. Sci. 31, 265–280 (2021).Article 

Google Scholar 
Fan, C., Gui, F., Wang, L. Z. & Zhao, S. Evaluation of environmental quality based on remote sensing data in the coastal lands of eastern China. J. Coastal Res. 36, 1229–1236 (2020).Article 

Google Scholar 
Phan, T. N., Kuch, V. & Lehnert, L. W. Land cover classification using Google Earth Engine and random forest classifier—The role of image composition. Remote Sens. 12, 2411 (2020).Article 
ADS 

Google Scholar 
Binh, N. A. et al. Thirty-year dynamics of LULC at the Dong Thap Muoi area, southern Vietnam, using Google Earth Engine. ISPRS Int. J. Geo Inf. 10, 226 (2021).Article 

Google Scholar 
Yang, G. X. et al. AGTOC: A novel approach to winter wheat mapping by automatic generation of training samples and one-class classification on Google Earth Engine. Int. J. Appl. Earth Obs. Geoinf. 102, 102446 (2021).Inman, V. L. & Lyons, M. B. Automated inundation mapping over large areas using Landsat data and Google Earth Engine. Remote Sens. 12, 1348 (2020).Article 
ADS 

Google Scholar 
Long, X. R., Li, X. Y., Lin, H. & Zhang, M. Mapping the vegetation distribution and dynamics of a wetland using adaptive-stacking and Google Earth Engine based on multi-source remote sensing data. Int. J. Appl. Earth Obs. Geoinf. 102, 102453 (2021).
Google Scholar 
Hu, Y. F., Dong, Y. & Nacun, B. An automatic approach for land-change detection and land updates based on integrated NDVI timing analysis and the CVAPS method with GEE support. ISPRS J. Photogram. Remote Sens. 146, 347–359 (2018).Article 
ADS 

Google Scholar 
Mahdianpari, M. et al. A large-scale change monitoring of wetlands using time series Landsat imagery on Google Earth Engine: A case study in Newfoundland. Gisci. Remote Sens. 57, 1102–1124 (2020).Article 

Google Scholar 
Brovelli, M. A., Sun, Y. & Yordanov, V. Monitoring forest change in the Amazon using multi-temporal remote sensing data and machine learning classification on Google Earth Engine. ISPRS Int. J. Geo Inf. 9, 580 (2020).Article 

Google Scholar 
Yin, H. R. et al. Analysis of spatial heterogeneity and influencing factors of ecological environment quality in China’s north-south transitional zone. Int. J. Environ. Res. Public Health 19, 2236 (2022).Article 
PubMed 
PubMed Central 

Google Scholar 
Xinran, N., Zhenqi, H., Mengying, R., Qi, Z. & Huang, S. Remote-sensing evaluation and temporal and spatial change detection of ecological environment quality in coal-mining areas. Remote Sens. 14, 345 (2022).Article 

Google Scholar 
Li, H. et al. Exploring spatial distributions of increments in soil heavy metals and their relationships with environmental factors using GWR. Stoch. Environ. Res. Risk Assess. 35, 2173–2186 (2021).Article 

Google Scholar 
Wang, J. F. & Xu, C. D. Geodetector: Principle and prospective. Acta Geogr. Sin. 72, 116–134 (2017).
Google Scholar 
Peng, S., Ding, Y., Liu, W. & Li, Z. 1 km monthly temperature and precipitation dataset for China from 1901 to 2017. Earth Syst. Sci. Data. 11, 1931–1946 (2019).Article 
ADS 

Google Scholar 
Hu, X. S. & Xu, H. Q. A new remote sensing index for assessing the spatial heterogeneity in urban ecological quality: A case from Fuzhou City, China. Ecol. Indic. 89, 11–21 (2018).Article 

Google Scholar 
Yu, G. Q., Yang, H. B., Tian, Z. Z. & Zhang, B. S. Eco-environment quality assessment of Miyun county based on RS and GIS. Proc. Environ. Sci. 10, 2601–2607 (2011).Article 

Google Scholar 
Chen, S. L., Zhu, Z. H., Liu, X. T. & Yang, L. Variation in vegetation and its driving force in the Pearl river delta region of China. Int. J. Environ. Res. Public Health 19, 10343 (2022).Article 
PubMed 
PubMed Central 

Google Scholar 
Zhu, D. Y., Chen, T., Zhen, N. & Niu, R. Q. Monitoring the effects of open-pit mining on the eco-environment using a moving window-based remote sensing ecological index. Environ. Sci. Pollut. Res. 27, 15716–15728 (2020).Article 

Google Scholar 
Shelestov, A., Lavreniuk, M., Kussul, N., Novikov, A. & Skakun, S. Exploring Google Earth Engine platform for big data processing: Classification of multi-temporal satellite imagery for crop mapping. Front. Earth Sci. 5, 1–10 (2017).Article 

Google Scholar 
Kumar, L. & Mutanga, O. Google Earth Engine applications since inception: Usage, trends, and potential. Remote Sens. 10, 1509 (2018).Article 
ADS 

Google Scholar 
Gorelick, N. et al. Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sens. Environ. 202, 18–27 (2017).Article 
ADS 

Google Scholar 
Parastatidis, D., Mitraka, Z., Chrysoulakis, N. & Abrams, M. Online global land surface temperature estimation from Landsat. Remote Sens. 9, 1208 (2017).Article 
ADS 

Google Scholar 
Kennedy, R. E. et al. Implementation of the LandTrendr algorithm on Google Earth Engine. Remote Sens. 10, 691 (2018).Article 
ADS 

Google Scholar 
Huang, H. B. et al. Mapping major land cover dynamics in Beijing using all Landsat images in Google Earth Engine. Remote Sens. Environ. 202, 166–176 (2017).Article 
ADS 

Google Scholar 
Ying, L. et al. Estimation of remote sensing based ecological index along the Grand Canal based on PCA-AHP-TOPSIS methodology. Ecol. Ind. 122, 107214 (2021).Article 

Google Scholar 
He, X., Li, M., Guo, H. & Tian, Z. Evaluation of ecological environment of Songshan scenic area based on GF-1 data. in IOP Conference Series: Materials Science and Engineering. Vol. 392. 042029 (2018).Yi, Z., Jiyun, S., Xiangren, L. & Meng, Z. Spatio-temporal evolution and driving factors of eco-environmental quality based on RSEI in Chang-Zhu-Tan metropolitan circle, central China. Ecol. Ind. 144, 109436 (2022).Article 

Google Scholar 
Wan, H. L., Huo, F., Niu, Y. F., Zhang, W. & Zhang, Q. R. Dynamic monitoring and analysis of ecological environment change in Cangzhou city based on RSEI model considering PM2.5 concentration. Prog. Geophys. 36, 953–960 (2021).
Google Scholar 
Wang, J., Ma, J. L., Xie, F. F. & Xu, X. J. Improvement of remote sensing ecological index in arid regions: Taking Ulan Buh Desert as an example. Chin. J. Appl. Ecol. 31, 3795–3804 (2020).
Google Scholar  More

Ulrich, Y., Saragosti, J., Tokita, C. K., Tarnita, C. E. & Kronauer, D. J. C. Fitness benefits and emergent division of labour at the onset of group living. Nature 560, 635–638 (2018).Article 
ADS 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Duarte, A., Weissing, F. J., Pen, I. & Keller, L. An evolutionary perspective on self-organized division of labor in social insects. Annu Rev. Ecol. Evol. Syst. 42, 91–110 (2011).Article 

Google Scholar 
West, S. A. & Cooper, G. A. Division of labour in microorganisms: an evolutionary perspective. Nat. Rev. Microbiol. 14, 716–723 (2016).Article 
CAS 
PubMed 

Google Scholar 
Oster, G. F. & Wilson, E. O. Caste and ecology in the social insects. (Princeton University Press, 1978).Arnold, K. E., Owens, I. P. F. & Goldizen, A. W. Division of labour within cooperatively breeding groups. Behav 142, 1577–1590 (2005).Article 

Google Scholar 
Bruintjes, R. & Taborsky, M. Size-dependent task specialization in a cooperative cichlid in response to experimental variation of demand. Anim. Behav. 81, 387–394 (2011).Article 

Google Scholar 
Bergmüller, R. & Taborsky, M. Adaptive behavioural syndromes due to strategic niche specialization. BMC Ecol. 7, 12 (2007).Article 
PubMed 
PubMed Central 

Google Scholar 
Schaller, G. B. The Serengeti lion: a study of predator-prey relations. (University of Chicago press, 2009).Bonabeau, E., Theraulaz, G. & Deneubourg, J.-L. Quantitative study of the fixed threshold model for the regulation of division of labour in insect societies. Proc. Biol. Sci. 263, 1565–1569 (1996).Article 

Google Scholar 
Bonabeau, E. Fixed response thresholds and the regulation of division of labor in insect societies. Bull. Math. Biol. 60, 753–807 (1998).Article 
MATH 

Google Scholar 
Graham, S., Myerscough, M. R., Jones, J. C. & Oldroyd, B. P. Modelling the role of intracolonial genetic diversity on regulation of brood temperature in honey bee (Apis mellifera L.) colonies. Insect Soc. 53, 226–232 (2006).Article 

Google Scholar 
Jeanson, R., Fewell, J. H., Gorelick, R. & Bertram, S. M. Emergence of increased division of labor as a function of group size. Behav. Ecol. Sociobiol. 62, 289–298 (2007).Article 

Google Scholar 
Gove, R., Hayworth, M., Chhetri, M. & Rueppell, O. Division of labour and social insect colony performance in relation to task and mating number under two alternative response threshold models. Insect. Soc. 56, 319–331 (2009).Article 

Google Scholar 
Ulrich, Y. et al. Response thresholds alone cannot explain empirical patterns of division of labor in social insects. PLoS Biol. 19, e3001269 (2021).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Jeanson, R. & Weidenmüller, A. Interindividual variability in social insects – proximate causes and ultimate consequences. Biol. Rev. 89, 671–687 (2014).Article 
PubMed 

Google Scholar 
Toth, A. L. & Robinson, G. E. Worker nutrition and division of labour in honeybees. Anim. Behav. 69, 427–435 (2005).Article 

Google Scholar 
Smith, C. R. et al. Nutritional asymmetries are related to division of labor in a queenless ant. PLoS ONE 6, e24011 (2011).Article 
ADS 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Bernadou, A. et al. Stress and early experience underlie dominance status and division of labour in a clonal insect. Proc. R. Soc. B 285, 20181468 (2018).Article 
PubMed 
PubMed Central 

Google Scholar 
Bernadou, A., Hoffacker, E., Pable, J. & Heinze, J. Lipid content influences division of labour in a clonal ant. J. Exp. Biol. 223, jeb.219238 (2020).Article 

Google Scholar 
Dussutour, A., Poissonnier, L.-A., Buhl, J. & Simpson, S. J. Resistance to nutritional stress in ants: when being fat is advantageous. J. Exp. Biol. 219, 824–833 (2016).Article 
PubMed 

Google Scholar 
Blanchard, G. B., Orledge, G. M., Reynolds, S. E. & Franks, N. R. Division of labour and seasonality in the ant Leptothorax albipennis: worker corpulence and its influence on behaviour. Anim. Behav. 59, 723–738 (2000).Article 
CAS 
PubMed 

Google Scholar 
Toth, A. L., Kantarovich, S., Meisel, A. F. & Robinson, G. E. Nutritional status influences socially regulated foraging ontogeny in honey bees. J. Exp. Biol. 208, 4641–4649 (2005).Article 
PubMed 

Google Scholar 
Carter, G. G. & Wilkinson, G. S. Food sharing in vampire bats: reciprocal help predicts donations more than relatedness or harassment. Proc. R. Soc. B 280, 20122573 (2013).Article 
PubMed 
PubMed Central 

Google Scholar 
Meurville, Marie-Pierre & LeBoeuf, AdriaC. Trophallaxis: the functions and evolution of social fluid exchange in ant colonies (Hymenoptera: Formicidae). Myrmecol N. 31, 1–30 (2021).
Google Scholar 
Duarte, A., Pen, I., Keller, L. & Weissing, F. J. Evolution of self-organized division of labor in a response threshold model. Behav. Ecol. Sociobiol. 66, 947–957 (2012).Article 
PubMed 
PubMed Central 

Google Scholar 
Moll, K., Federle, W. & Roces, F. The energetics of running stability: costs of transport in grass-cutting ants depend on fragment shape. J. Exp. Biol. 215, 161–168 (2012).Article 
PubMed 

Google Scholar 
Ostwald, M. M., Fox, T. P., Harrison, J. F. & Fewell, J. H. Social consequences of energetically costly nest construction in a facultatively social bee. Proc. R. Soc. B 288, 20210033 (2021). rspb.2021.0033.Article 
PubMed 
PubMed Central 

Google Scholar 
Molina, Y. & O’Donnell, S. A developmental test of the dominance-nutrition hypothesis: linking adult feeding, aggression, and reproductive potential in the paperwasp Mischocyttarus mastigophorus. Ethol. Ecol. Evol. 20, 125–139 (2008).Article 

Google Scholar 
Fiocca, K. et al. Reproductive physiology corresponds to adult nutrition and task performance in a Neotropical paper wasp: a test of dominance-nutrition hypothesis predictions. Behav. Ecol. Sociobiol. 74, 114 (2020).Article 
MathSciNet 

Google Scholar 
Wcislo, W. T. & Gonzalez, V. H. Social and ecological contexts of trophallaxis in facultatively social sweat bees, Megalopta genalis and M. ecuadoria (Hymenoptera, Halictidae). Insect Soc. 53, 220–225 (2006).Article 

Google Scholar 
Gautrais, J., Theraulaz, G., Deneubourg, J.-L. & Anderson, C. Emergent polyethism as a consequence of increased colony size in insect societies. J. Theor. Biol. 215, 363–373 (2002).Article 
ADS 
PubMed 

Google Scholar 
Ferguson-Gow, H., Sumner, S., Bourke, A. F. G. & Jones, K. E. Colony size predicts division of labour in attine ants. Proc. R. Soc. B 281, 20141411 (2014).Article 
PubMed 
PubMed Central 

Google Scholar 
Dornhaus, A., Holley, J.-A. & Franks, N. R. Larger colonies do not have more specialized workers in the ant Temnothorax albipennis. Behav. Ecol. 20, 922–929 (2009).Article 

Google Scholar 
Ackermann, M. et al. Self-destructive cooperation mediated by phenotypic noise. Nature 454, 987–990 (2008).Article 
ADS 
CAS 
PubMed 

Google Scholar 
Dubnau, D. & Losick, R. Bistability in bacteria. Mol. Microbiol 61, 564–572 (2006).Article 
CAS 
PubMed 

Google Scholar 
Honegger, K. & de Bivort, B. Stochasticity, individuality and behavior. Curr. Biol. 28, R8–R12 (2018).Article 
CAS 
PubMed 

Google Scholar 
Schiessl, K. T. et al. Individual- versus group-optimality in the production of secreted bacterial compounds. Evolution 73, 675–688 (2019).Article 
PubMed 
PubMed Central 

Google Scholar 
Elsner, D., Hartfelder, K. & Korb, J. Molecular underpinnings of division of labour among workers in a socially complex termite. Sci. Rep. 11, 18269 (2021).Article 
ADS 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Kohlmeier, P., Feldmeyer, B. & Foitzik, S. Vitellogenin-like A–associated shifts in social cue responsiveness regulate behavioral task specialization in an ant. PLoS Biol. 16, e2005747 (2018).Article 
PubMed 
PubMed Central 

Google Scholar 
Morandin, C., Hietala, A. & Helanterä, H. Vitellogenin and vitellogenin-like gene expression patterns in relation to caste and task in the ant Formica fusca. Insect Soc. 66, 519–531 (2019).Article 

Google Scholar 
Cooper, G. A. & West, S. A. Division of labour and the evolution of extreme specialization. Nat. Ecol. Evol. 2, 1161–1167 (2018).Article 
PubMed 

Google Scholar 
Ferrante, E., Turgut, A. E., Duéñez-Guzmán, E., Dorigo, M. & Wenseleers, T. Evolution of Self-Organized Task Specialization in Robot Swarms. PLoS Comput. Biol. 11, e1004273 (2015).Article 
ADS 
PubMed 
PubMed Central 

Google Scholar 
West-Eberhard, M.J. Wasp societies as microcosms for the study of development and evolution. in Natural history and evolution of paper-wasps (eds. Turillazzi, S. & West-Eberhard, M. J.) 290–317 (Oxford University Press, 1996).West-Eberhard, M. J. Flexible strategy and social evolution. in Animal societies: theories and facts (eds. Itō, Y., Brown, J. L. & Kikkawa, J.) 35–51 (Japan Scientific Societies Press, 1987).Amdam, G. V., Csondes, A., Fondrk, M. K. & Page, R. E. Complex social behaviour derived from maternal reproductive traits. Nature 439, 76–78 (2006).Article 
ADS 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Krishnan, J. U., Brahma, A., Chavan, S. K. & Gadagkar, R. Nutrition induced direct fitness for workers in a primitively eusocial wasp. Insect Soc. 68, 319–325 (2021).Article 

Google Scholar 
O’Donnell, S. et al. Adult nutrition and reproductive physiology: a stable isotope analysis in a eusocial paper wasp (Mischocyttarus mastigophorus, Hymenoptera: Vespidae). Behav. Ecol. Sociobiol. 72, 86 (2018).Article 

Google Scholar 
Salomon, M., Mayntz, D. & Lubin, Y. Colony nutrition skews reproduction in a social spider. Behav. Ecol. 19, 605–611 (2008).Article 

Google Scholar 
Hunt, J. H. & Amdam, G. V. Bivoltinism as an antecedent to eusociality in the paper wasp genus Polistes. Science 308, 264–267 (2005).Article 
ADS 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Hunt, J. H., Buck, N. A. & Wheeler, D. E. Storage proteins in vespid wasps: characterization, developmental pattern, and occurrence in adults. J. Insect Physiol. 49, 785–794 (2003).Article 
CAS 
PubMed 

Google Scholar 
Hunt, J. H. et al. Differential gene expression and protein abundance evince ontogenetic bias toward castes in a primitively eusocial wasp. PLoS ONE 5, e10674 (2010).Article 
ADS 
PubMed 
PubMed Central 

Google Scholar 
Smith, C. R., Toth, A. L., Suarez, A. V. & Robinson, G. E. Genetic and genomic analyses of the division of labour in insect societies. Nat. Rev. Genet. 9, 735–748 (2008).Article 
CAS 
PubMed 

Google Scholar 
Sumner, S., Pereboom, J. J. M. & Jordan, W. C. Differential gene expression and phenotypic plasticity in behavioural castes of the primitively eusocial wasp, Polistes canadensis. Proc. R. Soc. B 273, 19–26 (2006).Article 
CAS 
PubMed 

Google Scholar 
Gräff, J., Jemielity, S., Parker, J. D., Parker, K. M. & Keller, L. Differential gene expression between adult queens and workers in the ant Lasius niger. Mol. Ecol. 16, 675–683 (2007).Article 
PubMed 

Google Scholar 
Nelson, C. M., Ihle, K. E., Fondrk, M. K., Page, R. E. & Amdam, G. V. The gene vitellogenin has multiple coordinating effects on social organization. PLoS Biol. 5, e62 (2007).Article 
PubMed 
PubMed Central 

Google Scholar 
Corona, M. et al. Vitellogenin underwent subfunctionalization to acquire caste and behavioral specific expression in the harvester ant Pogonomyrmex barbatus. PLoS Genet 9, e1003730 (2013).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Fewell, J. H. & Page, R. E. Jr The emergence of division of labour in forced associations of normally solitary ant queens. Evolut. Ecol. Res. 1, 537–548 (1999).
Google Scholar 
Kalina, J. Nest intruders, nest defence and foraging behaviour in the Black-and-white Casqued Hornbill Bycanistes subcylindricus. Ibis 131, 567–571 (1988).Article 

Google Scholar 
Heinsohn, R. & Legge, S. Breeding biology of the reverse-dichromatic, co-operative parrot Eclectus roratus. J. Zool. 259, 197–208 (2003).Article 

Google Scholar 
Zárybnická, M. & Vojar, J. Effect of male provisioning on the parental behavior of female Boreal Owls Aegolius funereus. Zool. Stud. 52, 36 (2013).Article 

Google Scholar 
Flores, E. & Herrero, A. Compartmentalized function through cell differentiation in filamentous cyanobacteria. Nat. Rev. Microbiol. 8, 39–50 (2010).Article 
CAS 
PubMed 

Google Scholar 
Maynard Smith, J. & Szathmáry, E. The major transitions in evolution. (W.H. Freeman, 1995).West, S. A., Fisher, R. M., Gardner, A. & Kiers, E. T. Major evolutionary transitions in individuality. Proc. Natl Acad. Sci. 112, 10112–10119 (2015).Article 
ADS 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Gorelick, R., Bertram, S. M., Killeen, P. R. & Fewell, J. H. Normalized mutual entropy in biology: quantifying division of labor. Am. Naturalist 164, 677–682 (2004).Article 

Google Scholar 
R Core Team. R: A Language and Environment for Statistical Computing. (R Foundation for Statistical Computing, 2021).Wickham, H. ggplot2: elegant graphics for data analysis. (Springer-Verlag New York, 2016).Auguie, B. gridExtra: miscellaneous functions for ‘Grid’ graphics. (https://CRAN.R-project.org/package=gridExtra, 2017).Wilke, C. O. cowplot: streamlined plot theme and plot annotations for ‘ggplot2’. (https://CRAN.R-project.org/package=cowplot, 2019).Mills, B. R. MetBrewer: color palettes inspired by works at the Metropolitan Museum of Art. (https://CRAN.R-project.org/package=MetBrewer, 2021). More

Wikelski, M. & Cooke, S. J. Conservation physiology. Trends Ecol. Evol. 21, 38–46 (2006).Article 
PubMed 

Google Scholar 
Cattet, M. et al. Understanding grizzly bear health in the context of changing landscapes. Foothills Model Forest Grizzly Bear Research Program Annual Report, 80–86 (2005).Reeder, D. M. & Kramer, K. M. Stress in free-ranging mammals: Integrating physiology, ecology, and natural history. J. Mammal. 86, 225–235. https://doi.org/10.1644/bhe-003.1 (2005).Article 

Google Scholar 
Dunlop, R. A., Braithwaite, J., Mortensen, L. O. & Harris, C. M. Assessing population-level effects of anthropogenic disturbance on a marine mammal population. Front. Mar. Sci. 8, 230 (2021).Article 

Google Scholar 
Atkinson, S., Crocker, D., Houser, D. & Mashburn, K. Stress physiology in marine mammals: How well do they fit the terrestrial model?. J. Comp. Physiol. B. 185, 463–486. https://doi.org/10.1007/s00360-015-0901-0 (2015).Article 
CAS 
PubMed 

Google Scholar 
Romero, L. M. & Beattie, U. K. Common myths of glucocorticoid function in ecology and conservation. J. Exp. Zool. Part A: Ecol. Integr. Physiol. 337, 7–14. https://doi.org/10.1002/jez.2459 (2022).Article 
CAS 

Google Scholar 
Champagne, C. D. et al. Blubber cortisol qualitatively reflects circulating cortisol concentrations in bottlenose dolphins. Mar. Mamm. Sci. 33, 134–153 (2017).Article 
CAS 

Google Scholar 
Champagne, C. D. et al. Comprehensive endocrine response to acute stress in the bottlenose dolphin from serum, blubber, and feces. Gen. Comp. Endocrinol. 266, 178 (2018).Article 
CAS 
PubMed 

Google Scholar 
Teerlink, S., Horstmann, L. & Witteveen, B. Humpback whale (Megaptera novaeangliae) blubber steroid hormone concentration to evaluate chronic stress response from whale-watching vessels. Aquat. Mamm. 44, 411 (2018).Article 

Google Scholar 
Mingramm, F. M., Keeley, T., Whitworth, D. J. & Dunlop, R. A. Blubber cortisol levels in humpback whales (Megaptera novaeangliae): A measure of physiological stress without effects from sampling. Gen. Comp. Endocrinol. 291, 113436 (2020).Article 
CAS 
PubMed 

Google Scholar 
Saco, Y. et al. Evaluation of serum cortisol, metabolic parameters, acute phase proteins and faecal corticosterone as indicators of stress in cows. Vet. J. 177, 439–441 (2008).Article 
CAS 
PubMed 

Google Scholar 
Rolland, R. M. et al. Evidence that ship noise increases stress in right whales. Proc. R. Soc. B: Biol. Sci. 279, 2363–2368. https://doi.org/10.1098/rspb.2011.2429 (2012).Article 

Google Scholar 
Rocha, R., Clapham, P. J. & Ivashchenko, Y. V. Emptying the oceans: A summary of industrial whaling catches in the 20th century. Mar. Fish. Rev 76, 37–48 (2014).Article 

Google Scholar 
Comission, I. W. Report of the scientific committee. Journal of Cetacean Research and Management SC/68C (2021).Ducklow, H. W. et al. West Antarctic Peninsula: An ice-dependent coastal marine ecosystem in transition. Oceanography 26, 190–203 (2013).Article 

Google Scholar 
Laws, R. Seals and whales of the Southern Ocean 81–96 (Philosophical Transactions of the Royal Society of London. Series B, 1977).
Google Scholar 
Savoca, M. S. et al. Baleen whale prey consumption based on high-resolution foraging measurements. Nature 599, 85–90. https://doi.org/10.1038/s41586-021-03991-5 (2021).Article 
ADS 
CAS 
PubMed 

Google Scholar 
Pallin, L. J. et al. High pregnancy rates in humpback whales (Megaptera novaeangliae) around the Western Antarctic Peninsula, evidence of a rapidly growing population. R. Soc. Open Sci. https://doi.org/10.1098/rsos.180017 (2018).Article 
PubMed 
PubMed Central 

Google Scholar 
Bender, N. A., Crosbie, K. & Lynch, H. J. Patterns of tourism in the Antarctic Peninsula region: A 20-year analysis. Antarct. Sci. 28, 194–203. https://doi.org/10.1017/s0954102016000031 (2016).Article 
ADS 

Google Scholar 
Operators, I. A. o. A. T. (2019).Trumble, S. J. et al. Baleen whale cortisol levels reveal a physiological response to 20th century whaling. Nat. Commun. https://doi.org/10.1038/s41467-018-07044-w (2018).Article 
PubMed 
PubMed Central 

Google Scholar 
Cates, K. A. et al. Corticosterone in central north pacific male humpback whales (Megaptera novaeangliae): Pairing sighting histories with endocrine markers to assess stress. Gen. Comp. Endocrinol. 296, 113540 (2020).Article 
CAS 
PubMed 

Google Scholar 
Sprogis, K. R., Videsen, S. & Madsen, P. T. Vessel noise levels drive behavioural responses of humpback whales with implications for whale-watching. eLife https://doi.org/10.7554/elife.56760 (2020).Article 
PubMed 
PubMed Central 

Google Scholar 
Rolland, R. et al. Fecal glucocorticoids and anthropogenic injury and mortality in North Atlantic right whales Eubalaena glacialis. Endanger. Species Res. 34, 417–429. https://doi.org/10.3354/esr00866 (2017).Article 

Google Scholar 
Modest, M. et al. First description of migratory behavior of humpback whales from an Antarctic feeding ground to a tropical calving ground. Anim. Biotelem. 9, 1–16 (2021).Article 

Google Scholar 
Amaral, R. S. Use of alternative matrices to monitor steroid hormones in aquatic mammals: A review. Aquat. Mamm. 36, 162 (2010).Article 

Google Scholar 
Graham, K. M., Burgess, E. A. & Rolland, R. M. Stress and reproductive events detected in North Atlantic right whale blubber using a simplified hormone extraction protocol. Conserv. Physiol. https://doi.org/10.1093/conphys/coaa133 (2021).Article 
PubMed 
PubMed Central 

Google Scholar 
Atkinson, S. et al. Pregnancy rate and biomarker validations from the blubber of eastern North Pacific blue whales. Mar. Mamm. Sci. https://doi.org/10.1111/mms.12616 (2019).Article 

Google Scholar 
Hunt, K. E., Rolland, R. M., Kraus, S. D. & Wasser, S. K. Analysis of fecal glucocorticoids in the North Atlantic right whale (Eubalaena glacialis). Gen. Comp. Endocrinol. 148, 260–272. https://doi.org/10.1016/j.ygcen.2006.03.012 (2006).Article 
CAS 
PubMed 

Google Scholar 
Mashburn, K. L. & Atkinson, S. Evaluation of adrenal function in serum and feces of Steller sea lions (Eumetopias jubatus): Influences of molt, gender, sample storage, and age on glucocorticoid metabolism. Gen. Comp. Endocrinol. 136, 371–381. https://doi.org/10.1016/j.ygcen.2004.01.016 (2004).Article 
CAS 
PubMed 

Google Scholar 
Jeanniard Du Dot, T. et al. Changes in glucocorticoids, IGF-I and thyroid hormones as indicators of nutritional stress and subsequent refeeding in Steller sea lions (Eumetopias jubatus). Comp. Biochem. Physiol. Part A Mol. Integr. Physiol 152, 524–534. https://doi.org/10.1016/j.cbpa.2008.12.010 (2009).Article 
CAS 

Google Scholar 
Foley, C. A. H., Papageorge, S. & Wasser, S. K. Noninvasive stress and reproductive measures of social and ecological pressures in free-ranging African elephants. Conserv. Biol. 15, 1134–1142. https://doi.org/10.1046/j.1523-1739.2001.0150041134.x (2001).Article 

Google Scholar 
Challis, J. R., Matthews, S. G., Gibb, W. & Lye, S. J. Endocrine and paracrine regulation of birth at term and preterm. Endocr. Rev. 21, 514–550 (2000).CAS 

Google Scholar 
Robeck, T. R., Steinman, K. J. & O’Brien, J. K. Characterization and longitudinal monitoring of serum androgens and glucocorticoids during normal pregnancy in the killer whale (Orcinus orca). Gen. Comp. Endocrinol. 247, 116–129 (2017).Article 
CAS 
PubMed 

Google Scholar 
Rolland, R. M., Hunt, K. E., Kraus, S. D. & Wasser, S. K. Assessing reproductive status of right whales (Eubalaena glacialis) using fecal hormone metabolites. Gen. Comp. Endocrinol. 142, 308–317 (2005).Article 
CAS 
PubMed 

Google Scholar 
Burgess, E. A., Hunt, K. E., Kraus, S. D. & Rolland, R. M. Adrenal responses of large whales: Integrating fecal aldosterone as a complementary biomarker to glucocorticoids. Gen. Comp. Endocrinol. 252, 103–110. https://doi.org/10.1016/j.ygcen.2017.07.026 (2017).Article 
CAS 
PubMed 

Google Scholar 
Ducklow, H. W. et al. Marine pelagic ecosystems: The west Antarctic Peninsula. Philos. Trans. R. Soc. London B: Biol. Sci. 362, 67–94 (2007).Article 
PubMed 

Google Scholar 
Rogers, A. et al. Antarctic futures: An assessment of climate-driven changes in ecosystem structure, function, and service provisioning in the Southern Ocean. Ann. Rev. Mar. Sci. 12, 87–120 (2020).Article 
CAS 
PubMed 

Google Scholar 
Hillbrand, F. & Elsaesser, F. Concentrations of progesterone in the backfat of pigs during the oestrous cycle and after ovariectomy. J. Reprod. Fertil. 69, 73–80 (1983).Article 
CAS 
PubMed 

Google Scholar 
Funasaka, N. et al. Seasonal difference of diurnal variations in serum melatonin, cortisol, testosterone, and rectal temperature in Indo-Pacific bottlenose dolphins (Tursiops aduncus). Aquat. Mamm. 37, 433 (2011).Article 

Google Scholar 
Oki, C. & Atkinson, S. Diurnal patterns of cortisol and thyroid hormones in the Harbor seal (Phoca vitulina) during summer and winter seasons. Gen. Comp. Endocrinol. 136, 289–297. https://doi.org/10.1016/j.ygcen.2004.01.007 (2004).Article 
CAS 
PubMed 

Google Scholar 
Lavigne, D., Innes, S., Worthy, G. & Edwards, E. F. Lower critical temperatures of blue whales, Balaenoptera musculus. J. Theor. Biol. 144, 249–257 (1990).Article 
ADS 

Google Scholar 
Nichols, R. C. et al. Intra-seasonal variation in feeding rates and diel foraging behaviour in a seasonally fasting mammal, the humpback whale. R. Soc. Open Sci. https://doi.org/10.1098/rsos.211674 (2022).Article 
PubMed 
PubMed Central 

Google Scholar 
Bierlich, K. C. Incorporating Photogrammetric Uncertainty in UAS-based Morphometric Measurements of Baleen Whales, (2021).Kellar, N. M. et al. Blubber cortisol: A potential tool for assessing stress response in free-ranging dolphins without effects due to sampling. PLoS ONE 10, e0115257 (2015).Article 
PubMed 
PubMed Central 

Google Scholar 
Bejder, L. & Samuels, A. Evaluating the effects of nature-based tourism on cetaceans. Mar. Mamm. Fish. Tour. Manag. Issues 1, 229–256 (2003).
Google Scholar 
New, L. F. et al. The modelling and assessment of whale-watching impacts. Ocean Coast. Manag. 115, 10–16 (2015).Article 

Google Scholar 
Avila, I. C., Correa, L. M. & Parsons, E. Whale-watching activity in Bahía Málaga, on the Pacific coast of Colombia, and its effect on humpback whale (Megaptera novaeangliae) behavior. Tour. Mar. Environ. 11, 19–32 (2015).Article 

Google Scholar 
Amrein, A. M., Guzman, H. M., Surrey, K. C., Polidoro, B. & Gerber, L. R. Impacts of whale watching on the behavior of humpback whales (Megaptera novaeangliae) in the Coast of Panama. Front. Mar. Sci. 7, 1105 (2020).Article 

Google Scholar 
Heenehan, H. et al. Caribbean Sea soundscapes: monitoring humpback whales, biological sounds, geological events, and anthropogenic impacts of vessel noise. Front. Mar. Sci., 347 (2019).Keay, J. M., Singh, J., Gaunt, M. C. & Kaur, T. Fecal glucocorticoids and their metabolites as indicators of stress in various mammalian species: A literature review. J. Zoo Wildl. Med. 37, 234–244 (2006).Article 
PubMed 

Google Scholar 
Harris, K., Gende, S. M., Logsdon, M. G. & Klinger, T. Spatial pattern analysis of cruise ship-humpback whale interactions in and near Glacier Bay National Park, Alaska. Environ. Manag. 49, 44–54. https://doi.org/10.1007/s00267-011-9754-9 (2012).Article 
ADS 

Google Scholar 
Palsbøll, P. J., Larsen, F. & Hansen, E. S. Sampling of skin biopsies from free-raging large cetaceans in west greenland: Development of new biopsy tips and bolt designs. International Whaling Commission Special Issue Series (1991).Weinstein, B. G., Double, M., Gales, N., Johnston, D. W. & Friedlaender, A. S. Identifying overlap between humpback whale foraging grounds and the Antarctic krill fishery. Biol. Cons. 210, 184–191 (2017).Article 

Google Scholar 
Lambertsen, R. H. A biopsy system for large whales and its use for cytogenetics. J. Mammal. 68, 443–445. https://doi.org/10.2307/1381495 (1987).Article 

Google Scholar 
Gilson, A., Syvanen, M., Levine, K. & Banks, J. Deer gender determination by polymerase chain reaction. Calif. Fish Game 84, 159–169 (1998).
Google Scholar 
Aasen, E. & Medrano, J. F. Amplification of the ZFY and ZFX genes for sex identification in humans, cattle, sheep and goats. Bio/Technology 8, 1279–1281 (1990).CAS 
PubMed 

Google Scholar 
Valsecchi, E. & Amos, W. Microsatellite markers for the study of cetacean populations. Mol. Ecol. 5, 151–156 (1996).Article 
CAS 
PubMed 

Google Scholar 
Palsbøll, P., Bérubé, M., Larsen, A. & Jørgensen, H. Primers for the amplification of tri-and tetramer microsatellite loci in baleen whales. Mol. Ecol. 6, 893–895 (1997).Article 
PubMed 

Google Scholar 
Berube, M., Jørgensen, H., McEwing, R. & Palsbøll, P. J. Polymorphic di-nucleotide microsatellite loci isolated from the humpback whale, Megaptera novaeangliae. Mol. Ecol. 9, 2181–2183 (2000).Article 
CAS 
PubMed 

Google Scholar 
Waldick, R., Brown, M. & White, B. Characterization and isolation of microsatellite loci from the endangered North Atlantic right whale. Mol. Ecol. 8, 1763–1765 (1999).Article 
CAS 
PubMed 

Google Scholar 
Baker, C. S. et al. Strong maternal fidelity and natal philopatry shape genetic structure in North Pacific humpback whales. Mar. Ecol. Progress Ser. 494, 291 (2013).Article 
ADS 

Google Scholar 
Constantine, R. et al. Abundance of humpback whales in Oceania using photo-identification and microsatellite genotyping. Mar. Ecol. Prog. Ser. 453, 249–261 (2012).Article 
ADS 

Google Scholar 
Peakall, R. & Smouse, P. E. GENALEX 6: Genetic analysis in Excel. Population genetic software for teaching and research. Mol. Ecol. Notes 6, 288–295 (2006).Article 

Google Scholar 
Kalinowski, S. T., Taper, M. L. & Marshall, T. C. Revising how the computer program CERVUS accommodates genotyping error increases success in paternity assignment. Mol. Ecol. 16, 1099–1106 (2007).Article 
PubMed 

Google Scholar 
Kellar, N. M., Trego, M. L., Marks, C. I. & Dizon, A. E. Determining pregnancy from blubber in three species of delphinids. Mar. Mamm. Sci. 22, 1–16 (2006).Article 

Google Scholar 
Pallin, L., Robbins, J., Kellar, N., Bérubé, M. & Friedlaender, A. Validation of a blubber-based endocrine pregnancy test for humpback whales. Conserv. Physiol. https://doi.org/10.1093/conphys/coy031 (2018).Article 
PubMed 
PubMed Central 

Google Scholar 
Kellar, N. M. et al. Low reproductive success rates of common bottlenose dolphins Tursiops truncatus in the northern Gulf of Mexico following the Deepwater Horizon disaster (2010–2015). Endanger. Species Res. 33, 143–158 (2017).Article 

Google Scholar 
R: A language and environment for statistical computing. (R Foundation for Statistical Computing, Vienna, Austria, 2021).ArcMap (version 10.8.2) (Redlands, CA: Esri Inc, 2022). More

Petronio, C. Les cervidés endémiques des îles méditerranéennes. Quaternaire 3–4, 259–264 (1990).
Google Scholar 
Liouville, M. Variabilité du Cerf élaphe (Cervus elaphus LINNE 1758) au cours du pléistocène moyen et supérieur en Europe occidentale : Approches morphométrique, paléoécologique et cynégétique (Museum National d’Histoire Naturelle, Paris, 2007).
Google Scholar 
van der Made, J., Stefaniak, K. & Marciszak, A. The polish fossil record of the wolf canis and the deer alces, capreolus, megaloceros, dama and cervus in an evolutionary perspective. Quatern. Int. 326–327, 406–430 (2014).
Google Scholar 
Guadelli, J.-L. Contribution à l’étude des zoocénoses préhistoriques en Aquitaine (Würm ancien et interstade würmiem. Universite de Bordeaux, Talence, 1987).
Google Scholar 
Guadelli, J.-L. Les cerfs du würm ancien en Aquitaine. Paléo 8, 99–108 (1996).
Google Scholar 
Defleur, A. et al. Le niveau moustérien de la grotte de l’Adaouste (Jouques, Bouches-du-Rhône): Approche culturelle et paléoenvironnements. Bull. Mus. anthropol. préhist. Monaco 37, 11–48 (1994).
Google Scholar 
Tournepiche, J.-F. Les grands mammifères pléistocènes de Poitou-Charente. Paléo 8, 109–141 (1996).
Google Scholar 
Delagnes, A. et al. Le gisement Pléistocène moyen et supérieur d’artenac (Saint-Mary, Charente): Premier bilan interdisciplinaire. Bull. Soc. Prehist. Fr. 96, 469–496 (1999).
Google Scholar 
Valensi, P., Psathi, E. & Lacombat, F. Le cerf élaphe dans les sites du Paléolithique moyen du Sud-Est de la France et de la Ligurie. Intérêts biostratigraphique, environnemental et taphonomique. In Acts of the XIVth UISPP Congress, Session 3: Paleoecology, General Sessions and Posters, 2–8 september 2001 97–105 (BAR International Series, 2004).Steele, T. E. Variation in mortality profiles of red deer (Cervus elaphus) in middle palaeolithic assemblages from western Europe. Int. J. Osteoarchaeol. 14, 307–320 (2004).
Google Scholar 
Croitor, R. A new form of wapiti cervus canadensis Erxleben, 1777 (Cervidae, Mammalia) from the late pleistocene of France. Palaeoworld 29, 789–806 (2020).
Google Scholar 
Meiri, M. et al. Subspecies dynamics in space and time: A study of the red deer complex using ancient and modern DNA and morphology. J. Biogeogr. 45, 367–380 (2018).
Google Scholar 
Queirós, J. et al. Red deer in Iberia: Molecular ecological studies in a southern refugium and inferences on European postglacial colonization history. PLoS ONE 14, e0210282 (2019).PubMed 
PubMed Central 

Google Scholar 
Carranza, J., Salinas, M., de Andrés, D. & Pérez-González, J. Iberian red deer: paraphyletic nature at mtDNA but nuclear markers support its genetic identity. Ecol. Evol. 6, 905–922 (2016).PubMed 
PubMed Central 

Google Scholar 
Rey-Iglesia, A., Grandal-d’Anglade, A., Campos, P. F. & Hansen, A. J. Mitochondrial DNA of pre-last glacial maximum red deer from NW Spain suggests a more complex phylogeographical history for the species. Ecol. Evol. 7, 10690–10700 (2017).PubMed 
PubMed Central 

Google Scholar 
Geist, V. Deer of the world: Their evolution, behaviour, and ecology (Stackpole Books, Pennsylvania, 1998).
Google Scholar 
Rivals, F. & Lister, A. M. Dietary flexibility and niche partitioning of large herbivores through the pleistocene of Britain. Quatern. Sci. Rev. 146, 116–133 (2016).ADS 

Google Scholar 
Berlioz, E. Ecologie alimentaire et paléoenvironnements des cervidés européens du Pleistocène inférieur: le message des texutures de micro-usure dentaire (University of Poitiers, Poitiers, 2017).
Google Scholar 
Saarinen, J., Eronen, J., Fortelius, M., Seppä, H. & Lister, A. M. Patterns of diet and body mass of large ungulates from the pleistocene of Western Europe, and their relation to vegetation. Palaeontol. Electron. 19.3.32A, 1–58 (2016).
Google Scholar 
Stefano, G. D., Pandolfi, L., Petronio, C. & Salari, L. The morphometry and the occurrence of cervus elaphus (Mammalia, Cervidae) from the late Pleistocene of the Italian peninsula. Riv. Ital. Paleontol. Stratigr. 121, 103–120 (2015).
Google Scholar 
Terada, C., Tatsuzawa, S. & Saitoh, T. Ecological correlates and determinants in the geographical variation of deer morphology. Oecologia 169, 981–994 (2012).PubMed 
ADS 

Google Scholar 
Sommer, R. S., Fahlke, J. M., Schmölcke, U., Benecke, N. & Zachos, F. E. Quaternary history of the European roe deer capreolus capreolus. Mammal Rev. 39, 1–16 (2009).
Google Scholar 
Lorenzini, R. et al. European Roe Deer Capreolus capreolus (Linnaeus, 1758). In Handbook of the Mammals of Europe (eds Hackländer, F. & Zachos, F. E.) 1–32 (Springer, Cham, 2022).
Google Scholar 
Lorenzini, R., Garofalo, L., Qin, X., Voloshina, I. & Lovari, S. Global phylogeography of the genus capreolus (Artiodactyla: Cervidae), a palaearctic meso-mammal. Zool. J. Linn. Soc. 170, 209–221 (2014).
Google Scholar 
Tixier, H. & Duncan, P. Are European roe deer browsers? A review of variations in the composition of their diets. Rev. Ecol. 51, 3–17 (1996).
Google Scholar 
Merceron, G., Viriot, L. & Blondel, C. Tooth microwear pattern in roe deer (Capreolus capreolus L.) from Chizé (Western France) and relation to food composition. Small Rumin. Res. 53, 125–132 (2004).
Google Scholar 
Delibes, J. R. Ecología y comportamiento del corzo (Capreolus capreolus L. 1758) en la Sierra de Grazalema (Cádiz) (Universidad Complutense, Complutense, 1996).
Google Scholar 
Hewitt, G. M. The genetic legacy of the quaternary ice ages. Nature 405, 907–913 (2000).CAS 
PubMed 
ADS 

Google Scholar 
Stewart, J. R., Lister, A. M., Barnes, I. & Dalén, L. Refugia revisited: Individualistic responses of species in space and time. Proc. R. Soc. Lond. B. Biol. Sci. 277, 661–671 (2010).
Google Scholar 
Álvarez-Lao, D. J. & García, N. Geographical distribution of pleistocene cold-adapted large mammal faunas in the Iberian peninsula. Quatern. Int. 233, 159–170 (2011).
Google Scholar 
Lumley, H. de. Le Paléolithique inférieur et moyen du Midi méditerranéen dans son cadre géologique. Tome I. Ligurie—Provence. Gall. Préhist. 5, (1969).Texier, P.-J. L’industrie moustérienne de l’abri pié-lombard (Tourettes-sur-Loup, Alpes-Maritimes). Bull. Soc. Préhist. Fr. 71, 429–448 (1974).
Google Scholar 
Texier, P.-J. et al. L’abri pié lombard à tourrettes-sur-loup (Alpes-Maritimes): Anciennes fouilles (1971–1985), nouvelles données. Bull. Mus.Anthropol.e Préhistor. Monaco 51, 19–49 (2011).
Google Scholar 
Tomasso, A. Territoires, systèmes de mobilité et systèmes de production : La fin du Paléolithique supérieur dans l’arc liguro-provençal (University of Nice Sophia Antipolis Nice, and University of Pisa, 2014).
Google Scholar 
Pelletier, M., Desclaux, E., Brugal, J.-P. & Texier, P.-J. The exploitation of rabbits for food and pelts by last interglacial neandertals. Quatern. Sci. Rev. 224, 105972 (2019).
Google Scholar 
Valladas, H. et al. Datations par la thermoluminescence de gisements moustériens du sud de la France. L’Anthropologie 91, 211–226 (1987).
Google Scholar 
Yokoyama, Y. et al. ESR dating of stalagmites of the Caune de l’Arago, the Grotte du Lazaret, the Grotte du Vallonnet and the abri Pié Lombard : a comparison with the U-Th method. In Third Specialist Seminar on TL and ESR Dating (eds. Hackens, T., Mejdahl, V., Bowman, S. G. E., Wintle, A. G. & Aitken, M. J.) 381–389 (1983).Romero, A. J., Fernández-Lomana, J. C. D. & Brugal, J.-P. Aves de caza. Estudio tafonómico y zooarqueológico de los restos avianos de los niveles musterienses de pié lombard (Alpes-Maritimes, Francia). Munibe Antropol. Arkeol. 68, 73–84 (2017).
Google Scholar 
Lumley (de), M.-A. Les néandertaliens dans le midi méditerranéen. In La Préhistoire française vol. T. 1 (Editions du CNRS, 1976).Porraz, G. En marge du milieu alpin. Dynamiques de formation des ensembles lithiques et modes d’occupation des territoires au paléolithique moyen (Université de Provence, Marseille, 2005).
Google Scholar 
Porraz, G. Middle Paleolithic mobile toolkits in shor-tterm human occupations: Two case studies. Eur. Prehist. 6, 33–55 (2009).
Google Scholar 
Roussel, A., Gourichon, L., Valensi, P. & Brugal, J.-P. Homme, gibier et environnement au Paléolithique moyen. Regards sur la gestion territoriale de l’espace semi-montagnard du Midi de la France. In Biodiversités, environnements et sociétés depuis la Préhistoire : nouveaux marqueurs et approches intégrées 87–99 (Éditions APDCA, 2021).Renault-Miskovsky, J. & Texier, J. Intérêt de l’analyse pollinique détaillée dans les concrétions de grotte .Application à l’abri pié-lombard (Tourettes-sur-Loup, Alpes maritimes). Quaternaire 17, 129–134 (1980).
Google Scholar 
Rosell, J. et al. A resilient landscape at teixoneres cave (MIS 3; Moià, Barcelona, Spain): The Neanderthals as disrupting agent. Quatern. Int. 435, 195–210 (2017).
Google Scholar 
Rosell, J. et al. Mossegades i Levallois: les noves intervencionsa la cova de les teixoneres (Moià, Bages). Trib d’Arqueologia 29–43 (2008).Rosell, J. et al. Los ocupaciones en la Cova de les Teixoneres (Moià, Barcelona): relaciones espaciales y grado de competencia entre hienas, osos y neandertales durante el Pleistoceno Superior. In Actas de la 1a Reunión de Científicos sobre Cubiles de Hiena (y Otros Grandes Carnívoros) en los Yacimientos Arqueológicos de la Península Ibérica (392–402) (eds Arriaza, M. C. et al.) (Museo Arqueológico Regional, 2010).
Google Scholar 
Rosell, J. et al. A stop along the way: The role of Neanderthal groups at level III of teixoneres cave (Moià, Barcelona, Spain). Quaternaire 21, 139–154 (2010).
Google Scholar 
Rosell, J. et al. Cova del toll y cova de les Teixoneres (Moià, Barcelona). In Los cazadores recolectores del Pleistoceno y del Holoceno en Iberia y el estrecho de Gibraltar (eds. Sala, R., Carbonell, E., Bermudez de Castro, J. M. & Arsuaga, J. L.) 302–307 (2014).Zilio, L. et al. Examining Neanderthal and carnivore occupations of teixoneres cave (Moià, Barcelona, Spain) using archaeostratigraphic and intra-site spatial analysis. Sci. Rep. 11, 4339 (2021).CAS 
PubMed 
PubMed Central 
ADS 

Google Scholar 
Tissoux, H. et al. Datation par les séries de l’uranium des occupations moustériennes de la grotte de teixoneres (Moia, Province de Barcelone, Espagne). Quaternaire 17, 27–33 (2006).
Google Scholar 
Talamo, S. et al. The radiocarbon approach to Neanderthals in a carnivore den site: A well-defined chronology for teixoneres cave (Moià, Barcelona, Spain). Radiocarbon 58, 247–265 (2016).CAS 

Google Scholar 
Álvarez-Lao, D. J., Rivals, F., Sánchez-Hernández, C., Blasco, R. & Rosell, J. Ungulates from teixoneres cave (Moià, Barcelona, Spain): Presence of cold-adapted elements in NE Iberia during the MIS 3. Palaeogeogr. Palaeoclimatol. Palaeoecol. 466, 287–302 (2017).
Google Scholar 
Rufà, A., Blasco, R., Rivals, F. & Rosell, J. Leporids as a potential resource for predators (hominins, mammalian carnivores, raptors): An example of mixed contribution from level III of teixoneres cave (MIS 3, Barcelona, Spain). C.R. Palevol. 13, 665–680 (2014).
Google Scholar 
Rufà, A., Blasco, R., Rivals, F. & Rosell, J. Who eats whom? Taphonomic analysis of the avian record from the middle paleolithic site of teixoneres cave (Moià, Barcelona, Spain). Quatern. Int. 421, 103–115 (2016).
Google Scholar 
Sánchez-Hernández, C., Rivals, F., Blasco, R. & Rosell, J. Short, but repeated Neanderthal visits to teixoneres cave (MIS 3, Barcelona, Spain): A combined analysis of tooth microwear patterns and seasonality. J. Archaeol. Sci. 49, 317–325 (2014).
Google Scholar 
Sánchez-Hernández, C., Rivals, F., Blasco, R. & Rosell, J. Tale of two timescales: Combining tooth wear methods with different temporal resolutions to detect seasonality of Palaeolithic hominin occupational patterns. J. Archaeol. Sci. Rep. 6, 790–797 (2016).
Google Scholar 
Picin, A. et al. Neanderthal mobile toolkit in short-term occupations at teixoneres cave (Moia, Spain). J. Archaeol. Sci. Rep. 29, 102165 (2020).
Google Scholar 
Fernández-García, M. et al. New insights in Neanderthal palaeoecology using stable oxygen isotopes preserved in small mammals as palaeoclimatic tracers in teixoneres cave (Moià, northeastern Iberia). Archaeol. Anthropol. Sci. 14, 106 (2022).
Google Scholar 
Ochando, J. et al. Neanderthals in a highly diverse, mediterranean-Eurosiberian forest ecotone: The pleistocene pollen record of teixoneres cave, Northeastern Spain. Quatern. Sci. Rev. 241, 106429 (2020).
Google Scholar 
López-García, J. M. et al. A multidisciplinary approach to reconstructing the chronology and environment of Southwestern European Neanderthals: The contribution of teixoneres cave (Moià, Barcelona, Spain). Quatern. Sci. Rev. 43, 33–44 (2012).ADS 

Google Scholar 
Sánchez-Hernández, C. et al. Dietary traits of ungulates in northeastern Iberian Peninsula: Did these Neanderthal preys show adaptive behaviour to local habitats during the middle palaeolithic?. Quatern. Int. 557, 47–62 (2020).
Google Scholar 
Fortelius, M. & Solounias, N. Functional characterization of ungulate molars using the abrasion-attrition wear gradient: A new method for reconstructing paleodiets. Am. Mus. Novit. 3301, 1–36 (2000).
Google Scholar 
Rivals, F., Solounias, N. & Mihlbachler, M. C. Evidence for geographic variation in the diets of late pleistocene and early holocene bison in North America, and differences from the diets of recent bison. Quatern. Res. 68, 338–346 (2007).ADS 

Google Scholar 
King, T., Andrews, P. & Boz, B. Effect of taphonomic processes on dental microwear. Am. J. Phys. Anthropol. 108, 359–373 (1999).CAS 
PubMed 

Google Scholar 
Uzunidis, A. et al. The impact of sediment abrasion on tooth microwear analysis: An experimental study. Archaeol. Anthropol. Sci. 13, 134 (2021).
Google Scholar 
Kaiser, T. M. & Solounias, N. Extending the tooth mesowear method to extinct and extant equids. Geodiversitas 25, 321–345 (2003).
Google Scholar 
Xafis, A., Nagel, D. & Bastl, K. Which tooth to sample? A methodological study of the utility of premolar/non-carnassial teeth in the microwear analysis of mammals. Palaeogeogr. Palaeoclimatol. Palaeoecol. 487, 229–240 (2017).
Google Scholar 
Meadow, R. H. Early animal domestication in South Asia a first report of the faunal remains from mehrgarh Pakistan. In South Asian Archaeology (ed. Härtel, H.) 143–179 (Dietrich Reimer, Berlin, 1979).
Google Scholar 
Meadow, R. H. The use of size index scaling techniques for research on archaeozoological collections from the Middle East. In Historici Animalium ex. Ossibus Festschrift Angela Von Den Driesch Zum 65 Geburtstag (eds Becker, C. et al.) 285–300 (Verlag Marie Leidorf, Rahden, 1999).
Google Scholar 
Simpson, G. G. Large pleistocene felines of North America. Pleistocene felines North Am. 1136, 1–28 (1941).
Google Scholar 
Valli, A. M. F. & Guérin, C. L. gisement pléistocène supérieur de la grotte de Jaurens à Nespouls, Corrèze, France: Les cervidae (Mammalia, Artiodactyla). Publ. mus. Conflu. 1, 41–81 (2000).
Google Scholar 
Janis, C. M. The correlation between diet and dental wear in herbivorous mammals and its relationship to the determination of diets of extinct species. In Evolutionary Paleobiology of Behavior and Coevolution (ed. Boucot, A. J.) 241–259 (Elsevier, Amsterdam, 1990).
Google Scholar 
Heintz, E. Les Cervidés villafranchiens de France et d’Espagne (Museum National d’Histoire Naturelle, Parise, 1970).
Google Scholar 
Magniez, P. Etude paléontologique des artiodactyles de la grotte Tournal (Bize-Minervois, Aude, France) étude taphonomique, archéozoologique et paléoécologique des grands Mammifères dans leur cadre biostratigraphique et paléoenvironnemental (Université de Perpignan, Perpignan, 2010).
Google Scholar 
Cucchi, T., Hulme-Beaman, A., Yuan, J. & Dobney, K. Early neolithic pig domestication at Jiahu, Henan Province, China: clues from molar shape analyses using geometric morphometric approaches. J. Archaeol. Sci. 38, 11–22 (2011).
Google Scholar 
Evin, A. et al. The long and winding road: Identifying pig domestication through molar size and shape. J. Archaeol. Sci. 40, 735–743 (2013).
Google Scholar 
Pelletier, M., Kotiaho, A., Niinimäki, S. & Salmi, A.-K. Identifying early stages of reindeer domestication in the archaeological record: A 3D morphological investigation on forelimb bones of modern populations from Fennoscandia. Archaeol. Anthropol. Sci. 12, 169 (2020).PubMed 
PubMed Central 

Google Scholar 
Bignon, O., Baylac, M., Vigne, J.-D. & Eisenmann, V. Geometric morphometrics and the population diversity of late glacial horses in Western Europe (Equus caballus arcelini): Phylogeographic and anthropological implications. J. Archaeol. Sci. 32, 375–391 (2005).
Google Scholar 
Pelletier, M. Morphological diversity, evolution and biogeography of early pleistocene rabbits (Genus Oryctolagus). Palaeontology 64, 817–838 (2021).
Google Scholar 
Curran, S. C. Expanding ecomorphological methods: Geometric morphometric analysis of cervidae post-crania. J. Archaeol. Sci. 39, 1172–1182 (2012).
Google Scholar 
Curran, S. C. Exploring eucladoceros ecomorphology using geometric morphometrics. Anat. Rec. 298, 291–313 (2015).
Google Scholar 
Cucchi, T. et al. Taxonomic and phylogenetic signals in bovini cheek teeth: Towards new biosystematic markers to explore the history of wild and domestic cattle. J. Archaeol. Sci. 109, 104993 (2019).
Google Scholar 
Jeanjean, M. et al. Sorting the flock: Quantitative identification of sheep and goat from isolated third lower molars and mandibles through geometric morphometrics. J. Archaeol. Sci. 141, 105580 (2022).
Google Scholar 
Herrera, P. L. Différences entre les dents jugales deciduales du cerf elaphe (Cervus Elaphus L.) et du boeuf domestique (Bos Taurus L.). Rev. Paléobiol. 8, 77 (1989).
Google Scholar 
Pfeiffer, T. Die stellung von dama (Cervidae, Mammalia) im system plesiometacarpaler hirsche des pleistozäns. Phylogenetische reconstruktion-metrische analyse. Cour Forsch. Senckenberg. 211, 1–218 (1999).
Google Scholar 
Rohlf, F. J. TPSDig, version 2.17 (Stony Brook, NY: Department of Ecology and Evolution, State University of New York, 2013).Bookstein, F. L. Morphometric Tools for Landmark Data: Geometry and Biology (Cambridge University Press, Cambridge, 1992).MATH 

Google Scholar 
Schlager, S. Morpho: Calculations and visualizations related to geometric morphometrics. (2013).Bookstein, F. L. Size and shape spaces for landmark data in two dimensions. Stat. Sci. 1, 181–222 (1986).MATH 

Google Scholar 
Kaiser, T. M. & Schulz, E. Tooth wear gradients in zebras as an environmental proxy—a pilot study. Mitt. Hambg. Zool. Mus. Inst. 103, 187–210 (2006).
Google Scholar 
Louys, J., Ditchfield, P., Meloro, C., Elton, S. & Bishop, L. C. Stable isotopes provide independent support for the use of mesowear variables for inferring diets in African antelopes. Proc. R. Soc. B. Biol. Sci. 279, 4441–4446 (2012).CAS 

Google Scholar 
Schulz, E. & Kaiser, T. M. Historical distribution, habitat requirements and feeding ecology of the genus equus (Perissodactyla). Mammal Rev. 43, 111–123 (2013).
Google Scholar 
Ulbricht, A., Maul, L. C. & Schulz, E. Can mesowear analysis be applied to small mammals? A pilot-study on leporines and murines. Mamm. Biol. 80, 14–20 (2015).
Google Scholar 
Danowitz, M., Hou, S., Mihlbachler, M., Hastings, V. & Solounias, N. A combined-mesowear analysis of late miocene giraffids from North Chinese and Greek localities of the pikermian biome. Palaeogeogr. Palaeoclimatol. Palaeoecol. 449, 194–204 (2016).
Google Scholar 
Marom, N., Garfinkel, Y. & Bar-Oz, G. Times in between: A zooarchaeological analysis of ritual in Neolithic Sha’ar Hagolan. Quatern. Int. 464, 216–225 (2018).
Google Scholar 
Ackermans, N. L. et al. Mesowear represents a lifetime signal in sheep (Ovis aries) within a long-term feeding experiment. Palaeogeogr. Palaeoclimatol. Palaeoecol. 553, 109793 (2020).
Google Scholar 
Mihlbachler, M. C., Rivals, F., Solounias, N. & Semprebon, G. M. Dietary change and evolution of horses in North America. Science 331, 1178–1181 (2011).CAS 
PubMed 
ADS 

Google Scholar 
Rivals, F., Rindel, D. & Belardi, J. B. Dietary ecology of extant guanaco (Lama guanicoe) from Southern Patagonia: Seasonal leaf browsing and its archaeological implications. J. Archaeol. Sci. 40, 2971–2980 (2013).
Google Scholar 
Rivals, F., Uzunidis, A., Sanz, M. & Daura, J. Faunal dietary response to the heinrich event 4 in southwestern Europe. Palaeogeogr. Palaeoclimatol. Palaeoecol. 473, 123–130 (2017).
Google Scholar 
Uzunidis, A., Rivals, F. & Brugal, J.-P. Relation between morphology and dietary traits in horse jugal upper teeth during the middle pleistocene in Southern France. Quat. Rev. Assoc. franc. l’étude Quat. 28, 303–312 (2017).
Google Scholar 
Uzunidis, A. Dental wear analyses of middle pleistocene site of Lunel-Viel (Hérault, France): Did equus and bos live in a wetland?. Quatern. Int. 557, 39–46 (2020).
Google Scholar 
Solounias, N. & Semprebon, G. Advances in the reconstruction of ungulate ecomorphology with application to early fossil equids. Am. Mus. Novit. 3366, 49 (2002).
Google Scholar 
Semprebon, G., Godfrey, L. R., Solounias, N., Sutherland, M. R. & Jungers, W. L. Can low-magnification stereomicroscopy reveal diet?. J. Hum. Evol. 47, 115–144 (2004).PubMed 

Google Scholar 
Grine, F. E. Dental evidence for dietary differences in australopithecus and paranthropus: A quantitative analysis of permanent molar microwear. J. Hum. Evol. 15, 783–822 (1986).
Google Scholar 
Teaford, M. F. & Oyen, O. J. In vivo and in vitro turnover in dental microwear. Am. J. Phys. Anthropol. 80, 447–460 (1989).CAS 
PubMed 

Google Scholar 
Winkler, D. E. et al. The turnover of dental microwear texture: Testing the” last supper” effect in small mammals in a controlled feeding experiment. Palaeogeogr. Palaeoclimatol. Palaeoecol. 557, 109930 (2020).
Google Scholar 
Walker, A., Hoeck, H. N. & Perez, L. Microwear of mammalian teeth as an indicator of diet. Science 201, 908–910 (1978).CAS 
PubMed 
ADS 

Google Scholar 
Janis, C. M. & Lister, A. M. The morphology of the lower fourth premolaras a taxonomic character in the ruminantia (Mammalia; Artiodactyla), and the systematic position of triceromeryx. J. Paleontol. 59, 405–410 (1985).
Google Scholar 
Croitor, R. Animal husbandry and hunting. Bone material use ineconomic activities. In Kravchenko, E. A. (eds.) From Bronze to Iron: Pale-oeconomy of the Habitants of the Inkerman Valley (According the Materialof Excavations in Uch-Bash and Saharnaya Golovka Settlements). 191–222 (Institute of Archaeology of National Academy of Sciences of Ukraine, 2016).Geist, V. & Bayer, M. Sexual dimorphism in the cervidae and its relation to habitat. J. Zool. 214, 45–53 (1988).
Google Scholar 
Fichant, R. Le cerf: Biologie, comportement, gestion (Gerfaut Editions, 2003).
Google Scholar 
Arellano-Moullé, A. Les cervidés des niveaux moustériens de la grotte du Prince (Grimaldi, Vintimille, Italie) Etude paléontologique. Bull. Mus. Anthropol. Préhist. Monaco 39, 53–58 (1997).
Google Scholar 
Brugal, J. .-P. . La. faune des grands mammifères de l’abri des Canalettes – matériel 1980–1986. In L’abri des Canalettes Un habitat moustérien sur les grands Causses Nant Aveyron, 89–137 (ed. Meignen, L.) (CNRS Éditions, Paris, 1993).
Google Scholar 
La Gerber, J. P. faune des grands mammifères du Würm ancien dans le sud-est de la France (Université de Provence, Marseille, 1973).
Google Scholar 
Alonso, D. A. Analisis paleobiologico de los ungulados del pleistoceno superior de la meseta norte (Universidad de Salamanca, Salamanca, 2015).
Google Scholar 
Sanchez, B. La fauna de mamíferos del pleistoceno superior del Abric Romani (Capellades, Barcelona). Adas de Paleontol. 331–347 (1989).Clot, A. Le chevreuil, Capreolus capreolus (L.) (Ceervidae, Artiodactyla) dans le pléistocène de Ge$$rde (H.-P.) et des pyrénées. Bull. Soc. Hist. Nat. Toulouse 125, 83–86 (1989).
Google Scholar 
Vanpé, C. Mating systems and sexual selection in ungulates. New insights from a territorial species with low sexual size dimorphism: the European roe deer (Capreolus capreolus). (Université Paul Sabatier, Toulouse III and Swedish University of Agricultural Sciences, 2007).Horcajada-Sánchez, F. & Barja, I. Local ecotypes of roe deer populations (Capreolus capreolus L.) in relation to morphometric features and fur colouration in the centre of the Iberian Peninsula. Pol. J Ecol. 64, 113–124 (2016).
Google Scholar 
Semprebon, G. M., Sise, P. J. & Coombs, M. C. Potential bark and fruit browsing as revealed by Stereomicrowear analysis of the peculiar clawed herbivores known as Chalicotheres (Perissodactyla, Chalicotherioidea). J. Mammal. Evol. 18, 33–55 (2011).
Google Scholar 
Rivals, F. et al. Palaeoecology of the mammoth steppe fauna from the late pleistocene of the North Sea and Alaska: Separating species preferences from geographic influence in paleoecological dental wear analysis. Palaeogeogr. Palaeoclimatol. Palaeoecol. 286, 42–54 (2010).
Google Scholar 
Rivals, F., Takatsuki, S., Albert, R. M. & Macià, L. Bamboo feeding and tooth wear of three sika deer (Cervus nippon) populations from northern Japan. J. Mammal. 95, 1043–1053 (2014).
Google Scholar 
Lister, A. M. Evolutionary and ecological origins of British deer. Proc. R. Soc. Edinb. Sect. B. Biol. Sci. 82, 205–229 (1984).
Google Scholar 
Coulson, T., Guinness, F., Pemberton, J. & Clutton-Brock, T. The demographic consequences of releasing a population of red deer from culling. Ecology 85, 411–422 (2004).
Google Scholar 
Nussey, D. H., Clutton-Brock, T. H., Elston, D. A., Albon, S. D. & Kruuk, L. E. B. Phenotypic plasticity in a maternal trait in red deer. J. Anim. Ecol. 74, 387–396 (2005).
Google Scholar 
Frevert, W. Rominten (BLV Bayerischer Landwirtschaftsverlag, 1977).
Google Scholar 
Clutton-Brock, T. H. & Albon, S. D. Winter mortality in red deer (Cervus elaphus). J. Zool. 198, 515–519 (1982).
Google Scholar 
Loison, A. & Langvatn, R. Short- and long-term effects of winter and spring weather on growth and survival of red deer in Norway. Oecologia 116, 489–500 (1998).PubMed 
ADS 

Google Scholar 
Torres-Porras, J., Carranza, J. & Pérez-González, J. Combined effects of drought and density on body and antler size of male iberian red deer cervus elaphus hispanicus: Climate change implications. Wildl. Biol. 15, 213–221 (2009).
Google Scholar 
Bugalho, M. N., Milne, J. A. & Racey, P. A. The foraging ecology of red deer (Cervus elaphus) in a mediterranean environment: Is a larger body size advantageous?. J. Zool. 255, 285–289 (2001).
Google Scholar 
Köhler, M. Skeleton and habitat of recent and fossil ruminants (F. Pfeil, Germany, 1993).
Google Scholar 
Boessneck, J. Zur grosse des mitteleuropaischen Rehes Capreolus capreolus L. in alluvial-vorgeschichtlicher und friiher historischer zeit. Z. f. Siiugetierkunde 21, 121–131 (1958).
Google Scholar 
Jensen, P. Body size trends of roe deer (Capreolus capreolus) from danish mesolithic sites. J. Dan. Archaeol. 10, 51–58 (1991).
Google Scholar 
Braza, F., San José, C., Aragon, S. & Delibes, J. R. El corzo andaluz. (Junta de Andalucía, 1994).Fandos, P. Skull biometry of spanish roe deer (Capreolus capreolus). Folia Zool. 43, 11–20 (1994).
Google Scholar 
Costa, L. First data on the size of north-Iberian roe bucks (Capreolus capreolus). Mammalia 59, 447–451 (1995).
Google Scholar 
Klein, D. R. & Strandgaard, H. Factors affecting growth and body size of roe deer. J. Wildl. Manag. 36, 64–79 (1972).
Google Scholar  More

Photosynthetic pigmentsBased on the analysis of variance, data of Photosynthetic pigments as presented in Table 1 indicate that photosynthetic pigments as chlorophyll a (Chl. a) had non-significant for three Canola genotypes AD201 (G1), Topaz (G2) and SemuDNK 234/84 (G3), but chlorophyll b (Chl. b) and chlorophyll a/b ratio (Chl. a/b) had significant difference for three genotypes. Chl. a, Chl. b and Chl. a/b were positively responded to different N application i.e. without nitrogen fertilization (control F0), 95 kg N ha−1 (F1), 120 kg N ha−1 (F2) and 142 kg N ha−1 (F3) (without yeast); and integrated between nitrogen fertilization and yeast extract (YE) treatments as follows: 95 kg N ha−1 + YE (F4), 120 kg N ha−1 + YE (F5) and 142 kg N ha−1 (F6) (with yeast), data indicated that F5 and F6 gave the highest values of Chl. a and Chl. a/b ratio and lowest values of Chl. b Table 1. Interaction data showed that three Canola genotypes that were fertilized with N without yeast or with yeast had a slight difference with statistically significant in chl. a. The highest values of Chl. an obtained by G2 under F5 treatment followed by G1 under F6 treatments. In respect to Chl. a/b ratio, statistical analysis showed that Interaction between Canola genotypes treated with N applications without or with yeast had a significant difference whereas the highest values were recorded when Canola genotypes G3 and G2 fertilized with F6 and F5 with slight differences. While the interaction was significant between N treatments and Canola genotypes for Chl. b. and Canola genotype (G1) gave the highest value when treated with F1. Generally, F6 and F5 improve the contents of chl. a and chl. a/b ratio for three Canola genotypes Table 1. Chl. contents were increased in plants grown under middle and high N conditions as compared with plants grown under low N conditions, which significantly affected photochemical processes20. N is a fundamental element for leaf plants, insufficient N supply lead to decreased photosynthetic rate in plants21, this occurs to many factors such as a decrease in pigment degradation22, reduction in stomatal conductance23 and a decline in the light and dark reaction of photosynthesis. Canola is a nitrophilous plant, wherein a high concentration of NO3 in the culture media results in higher Chl. contents in the plant leave compared with controls20. The Chl. a/b ratio can be a valuable indicator of N element within a leaf because this ratio must be positively related to the ratio of PSII cores to light-harvesting chlorophyll-protein complex (LHCII)24. LHCII contains the majority of Chl. b, consequently it has a lower Chl a/b ratio than other Chl. binding proteins associated with PSII25. Thus, Chl. a/b ratios should increase with decreasing N availability, especially under high light conditions26, the Chl. a/b ratio and the ratio of PSII to Chl. are independent of N availability for spinach27, and lower Chl. a/b ratios were noticed when plants were subjected to low N28, while Kitajima and Hogan29 revealed that the Chl. a/b ratio increased when Chl. content decreased in response to N restriction in photosynthetic cotyledons in leaves of seedlings of four tropical woody species in the Bignoniaceae, and Bungard et al.30 demonstrated that there is a tiny response in Chl. a/b ratios to light or N. The yeast includes bio-regulators i.e. plant growth regulators and endogenous plant hormones, which enhance photosynthesis, also it produces 5-Aminolevulinic acid which is vital to tetrapyrrole biosynthesis and biochemical processes in plants, including heme and Chl. biosynthesis25.Table 1 Photosynthetic pigments for the three Canola genotypes under different N applications without and with yeast extract.Full size tableYield and its attributesComparing of mean data through the Duncan Multiple Range Test in the probability level of 5%, data showed significant differences among the Canola genotypes for the highest plant (cm), branches number/plant, and pods number/plant. On contrary, there wasn’t a significant difference for seed number/pods, seed yield (t ha−1), biological yield (t ha−1), and harvest index, wherein G2 gave the highest value for the highest plant (cm). In the same trend, G2 gave the highest values of branches No./plant and pods No./plant followed by G3 for the previous two treats Table 2. All examined N without or with yeast caused a significant difference in yield and its attributes, wherein F6 positively affected on abovementioned traits and gave the highest values on the highest plant (cm), branches No./plant, pods No./plant, seed No./pods, seed yield (t ha−1), and harvest index. While the highest values of biological yield (t ha−1) were obtained with F3, F6, and F5, respectively Table 2.Table 2 Growth, yield and its attributes for the three Canola genotypes under different N applications without and with yeast extract.Full size tableThe interaction between the Canola genotype and different N rates without or with yeast extract as shown in Table 2, demonstrated a significant difference. Data showed that the highest values of plant height and pods No./plant were recorded by G2 under F6 and the highest values of branches No./plant, seed No./pods, and seed yield (t ha−1) got by G3 and G2 under F6. There was a slight difference with statistically significant biological yield (t ha−1) and highest values established by G1 under F3 and F6; and G2 and G3 under F3, F5, and F6 respectively; and the highest values of harvest index recorded by G1, G2 and G3. under F6. Generally, data proved that 142 kg N/ h−1 + YE (F6) was enhanced the yield and its components of three Canola genotypes i.e. AD201 (G1), Topaz (G2), and SemuDNK 234/84 (G3). Many researchers reported that there are significant differences among Canola varieties and growth and yield traits are significantly increased by increasing N rates11. Increasing N fertilizer rates significantly increased most of the yield and its components31, N enhances metabolites synthesized by the plant which leads to more transformation of photosynthesis to reproductive parts, and induces different physiological mechanisms to access the nutrient32. Yeast extract as bio-fertilizer had a significant and positive effect on plant height and yield traits of Canola. The role of bread yeast in increasing the growth and yield traits; may be due to the content of yeast to many important nutrients elements i.e. N, Mg, Ca, Zn, Cu, and Fe, and the production of some growth regulators such as Auxin and Gibberellin and cytokinin which is necessary for plant biological processers especially photosynthesis and cell division and elongation33. Also, Yeast extract had stimulatory effects on cell division and enlargement, protein and nucleic acid synthesis, and chlorophyll formation34, in addition to its content of cryoprotective agent, i.e. sugars, protein, amino acids, and also several vitamins35. Consequently, it improves growth, flowering, and fruit set and formation and increases yield34.Correlation of Canola seed yield and chlorophyll a/b ratioPartial correlation coefficients of Canola seed yield and Chl. a/b ratio is given in Fig. 1. This result showed that seed yield was positively correlated with Chl. a/b ratio when the amount of N applied without or with yeast extract is increased. Chl. a/b ratio can be an important indicator of N within a leaf, this ratio must be positively related to photosynthesis and biological processers which reflect on seed yield.Figure 1Correlation of Canola seed yield (t/h) and chlorophyll a/b ratio as affected by different nitrogen rates without and with yeast extract.Full size imageCorrelation of Canola seed yield and its attributesCorrelations of seed yield and yield components of Canola are a function of the plant height, number of branches/plant, number of pods/plant, and number of seeds/pod as shown in Fig. 2a–d. These results proved that grain yield was strongly positively correlated with some of the abovementioned traits when N fertilization increased without or with yeast extract. Sufficient N contributes to enhance physiological processes, improves growth, flowering, seed formation, and the seed yield finally.Figure 2(a) Correlation of Canola seed yield (t/h) and plant height (cm) as affected by different nitrogen rates without and with yeast extract, (b) Correlation of Canola seed yield (t/h) and branch No/plant as affected by different nitrogen rates without and with yeast extract, (c) Correlation of Canola seed yield (t/h) and pods No/ plant as affected by different nitrogen rates without and with yeast extract, and (d) Correlation of Canola seed yield (t/h) and seeds No/ pod as affected by different nitrogen rates without and with yeast extract.Full size imageChemical propertiesRegarding results of the oil yield (t ha−1), seed oil %, protein %, N % in seed, and N% in straw as presented in Table 3, data showed significant differences among three Canola genotypes; AD201 (G1), Topaz (G2) and SemuDNK 234/84 (G3), excepted oil yield had non-significant difference. G1 was surpassed in oil %; G2, G3 surpassed in protein % and N % in seed, and G3 surpassed in N% in straw. Different N fertilization applies without or with yeast extract had a significant effect on the abovementioned traits, wherein F6 treatment gave the highest oil yield, protein %, N % in seed, and N% in straw, while seed oil % significantly increased with F1 and F4 treatments. There was significant interaction concerning with abovementioned traits, Table 3, as well as the highest values of seed oil yield (t ha−1), protein % in seeds, and nitrogen % in seeds were obtained with G1, G2, and G3 when treated with F6. Wherein the highest values of oil % were obtained by G1 under F1 and F4 treatments. Concerning N% in straw was increased by increasing the rate of N fertilizer application and the highest value was recorded by adding F6 to G336. Seed oil percentage was decreased by increasing nitrogen rates; the effect of interaction between Canola cultivars and nitrogen fertilization treatments was significant on seed oil. % High rates of N led to decreases in seed oil % and increase in protein concentrations in Canola seed37, the increase in seed protein % because N is an integral part of protein and the protein of Canola.Table 3 Effect of different N applications without and with yeast extract on oil yield, oil %, protein %, N % in seed and N% in straw for the three Canola genotypes.Full size tableCorrelation of Canola seed yield and seed oil percentageA strong negative correlation was detected between seed oil percentage as shown in Fig. 3. The result indicates that seed oil percentage decreases with increasing in different N fertilization rates without or with yeast extract. That’s a negative correlation between seed yield and seed oil %; it might be due to N application which results in delaying maturity leading to poor seed filling and a greater proportion of green seed38.Figure 3Correlation of Canola seed yield (t h−1) and oil % as affected by different nitrogen rates without and with yeast extract.Full size imagePhysico-chemical properties of Canola oilThe effects of different N application rates without or with yeast extract on Canola genotypes on physico-chemical properties i.e. Acid value (mg g−1), saponification number (mg g−1) and peroxide value (mg kg−1) were shown in Table 4. Data of chemical properties of Canola oil showed significant differences among Canola genotypes, the highest acid value and peroxide value were obtained from G2 followed by G1 and G3, respectively, while the highest saponification number was obtained by G3 followed by G1 and G2, respectively.Table 4 Oil properties for three Canola genotypes under different N applications without and with yeast extract.Full size tableData had significant differences among different N application rates without or with yeast extract, by increasing the N rated from F0 to F6 caused decreases in Acid value, Saponification number, and peroxide value. Also, data showed a significant interaction between Canola genotypes and different N application rates without or with yeast extract for all abovementioned traits, wherein the highest values of saponification number were obtained by G1 and G3 under F0 treatment. In addition, the highest values of peroxide value and the acid value were obtained by G2 with F0. The acid value is a physicochemical indicator38, wherein oils which have higher acid value posse poor quality39, on another hand, Low acid value of Canola genotype shows their higher oil quality. The peroxide value varied between 7.1 and 9.06 meq. O2/kg indicates that the tested vegetable oils are fresh, and the lowest initial peroxide value is suitable for consumption40. High saponification value indicated that Canola oil possesses normal triglycerides and may be useful in the production of liquid soap and shampoo41. Saponification number was significantly different among genotypes and a higher nitrogen rate resulted in an increase in the unsaponifiable matter and led to a decrease in oil acid value and saponification value42.Fatty acids composition percentages in Canola oilThe main values of fatty acids composition percentages in Canola oil were determined and calculated in the second season Table 5. Gas–liquid chromatographic analysis showed that, saturated fatty acids (Palmitic, 16:0, Stearic, 18:0, Arachidic, 20:0, and Behenic, 22:0) represent about 9.1 of the total fatty acids. Palmitic was the dominant acid among the saturated ones. In respect of unsaturated fatty acids i.e., Oleic acid (18:1), Linoleic (18:2), Linolenic (18:3), and Erucic (22:1), they all represent about 90.9% of total fatty acids. Therefore, Oleic acid (18:1) was the major fatty acid in Canola oil (59.43%) followed by Linoleic (20.80%) and Linolenic (9.02%). Erucic acid was less than 2%.Table 5 Saturated and unsaturated fatty acids (%) in seeds of the three Canola genotypes and different N applications without and with yeast extract.Full size tableData in Table 5, showed slight differences in saturated fatty acids between Canola varieties. AD201(G1) variety contained more amount of Palmitic (4.78%) and Stearic (1.52%) acids followed by Topaz (G2) for Palmitic and SemuDNK 234/84 (V3) for Stearic. However, Behenic acid (1.20%) was higher in G3 than G2 (1.17%), while G2 was the highest in Arachidic acid than G3 variety. These results are in line with those obtained by El Habbasha et al.43. They reported that AD 201, Silvo, and Topas (G2) were different in their oil contents of saturated and unsaturated fatty acids. Canola varieties were also slightly differed in their content of the unsaturated fatty acids Table 5, G3 variety contained more amounts of Oleic (60.36%) acid followed by the G2 variety. G1 recorded the lowest amount of Oleic acid (58.36%) in comparison with the other two varieties. On the other hand, G1 showed a high increment in Linoleic and Linolenic acids followed by G3 for Linoleic and Linolenic acids. The second oil quality breeding objective is to reduce the percentage of Linolenic acid from the percent 8–10% to less than 3% while maintaining or increasing the level of Linoleic acid44. Lower Linolenic acid is desired to improve the storage characteristics of the oil, while higher Linolenic acid content may be nutritionally desirable. Similar observations were reported by Ref.45. Topaz variety recorded the highest value for Erucic acid (1.77%) followed by AD201 variety, whereas Semu DNK gave the lowest value (1.45%). The increase in Erucic acid content in the Topaz variety may be due to the decrease in Oleic acid content46. Stated that the concentrations of Oleic and Erucic acids were negatively correlated and a high Oleic acid concentration ( > 50%) was always associated with a low Erucic acid concentration ( More

Changes of straw degradation characteristics at different culture stagesCorn straw degradation ratioCorn straw weight loss in M44 at F1 reached 35.90% at 15 ℃ for 21 days, which was greater than that at F5, F8, and F11 by 2.33%, 3.01%, and 3.35%, respectively. There were no significant differences between F8 and F11(Fig. 1).Figure 1Corn straw degradation ratio was measured at different culture stages. The same small letter means there was no significant difference, and different small letters indicate significant differences at p  More

Selection of environmental-biotic events to be studiedIn global warming events associated with mass extinctions, the current environmental changes are similar to those recorded during the end-Ordovician, end-Guadalupian, and end-Permian mass extinctions. Therefore, I analyzed global surface temperature anomalies, mercury pollution concentrations, and deforestation percentages in these three mass extinctions and in the current crisis. The asteroid impact at the K–Pg boundary and nuclear war cause the formation of stratospheric soot aerosols distributed globally, thus inducing sunlight reductions and global cooling (impact winter and nuclear winter). I also analyzed stratospheric soot aerosols as a possible cause of future extinctions.Most likely case and worst caseThe most likely case corresponds to the reduction of CO2 emissions resulting from human conduct, the protection of forests, and the introduction of anti-pollution measures in the future under the Paris Agreement on Climate change and Sustainable Development Goals (SDGs). The worst case corresponds to the scenario in which humans fail to stop increasing global surface temperatures, pollution, and deforestation until 2100–2200 CE.I use the average of the RCP4.5 and RCP6.0 cases in the Intergovernmental Panel on Climate Change (IPCC)8 as the most likely case of GHG emissions, representing the middle of the four potential GHG emissions cases (RCP2.6, 4.5, 6.0, and 8.5) in Fifth Assessment Report of the IPCC8, approximately corresponding to the middle of SSP2-4.5 and SSP3-7.0 in Sixth Assessment Report of the IPCC9. The timing of decreased global GHG emissions is 2060–2080 CE. Therefore, I use the average GHG emissions and global surface temperature anomalies of the RCP4.5 and RCP6.0 cases as the most likely values and those of the RCP8.5 case as the worst-case scenario, marked by stopping GHG emissions from 2090 to 2100 CE8,9, as this case corresponds to the highest GHG emissions8,9.Surface temperature anomaly, environment, and extinction magnitude dataData on surface temperature anomalies and extinction percentages are from Kaiho4. Changes in industrial GHG emissions and global surface temperature anomalies are sourced from the Fifth and Sixth Assessment Report of the IPCC8,9.Pollution can be represented by mercury concentrations measured in sedimentary rocks recording mass extinctions8 and in recent sediments deposited in seas and lakes25,26 because mercury is toxic to plants and animals and because its sources include volcanic eruptions, meteorite impacts, and the combustion of fossil fuels10,33, which are common sources of pollutants, and because it can be commonly measured from sedimentary rocks recording mass extinctions33. The mercury concentration is related to the CO2 emission amount during global warming because of the common sources of mercury and CO2 (volcanism and fossil fuel combustion influencing global warming). Thus, the future mercury concentrations are estimated based on the CO2 emission amounts estimated by the IPCC8,9. Since mercury and the other pollutants mainly come from oil, coal, and vegetation33, the amount of mercury released should change in parallel with industrial CO2 emissions because there is a good correlation between mercury and CO2 emissions11.Deforestation occurs by the expansion of agricultural areas and urban areas, which are strongly related to human populations13,28. Thus, future deforestation percentages are estimated based on estimated future population data27 (Supplementary Table S2). The severity of deforestation in each event is expressed by the occupancy % of the deforested area in the pre-event forest area in (i) the Permian–Triassic transition marked by the largest mass extinction based on plant fossil records24 and (ii) 2005–2015 CE as a representative of the Anthropocene epoch12,13,28 based on the actual forest area relative to the pre-agriculture phase before 4000 BP. Deforestation is related to the human population because agriculture and urbanization have caused deforestation13,28. I estimate the past and future deforestation percentage using human population data in the past and future21 based on the parallel growth of the human population and deforestation13,28.Amount of stratospheric soot was calculated using a method of Kaiho and Oshima34 (Supplementary Table S1). I obtained global surface temperature anomaly caused by stratospheric soot using Fig. 5 of Kaiho and Oshima34.I then use those data to estimate the future extinction magnitude based on the assumption that the Earth and contemporary life at the time of each crisis are more or less mutually comparable throughout time and to the present day.I estimate the magnitude of the species animal extinction crisis between 2000 and 2500 CE using Figs. 1, 2 and Supplementary Tables S1 and S2 in each cause under the most likely case and worst case under three nuclear war scenarios (zero, minor, and major; Fig. 2d)15 in the PETM and mass extinction cases, respectively (Supplementary Tables S3, S4; Fig. 3). Finally, I estimate the magnitude of current animal extinction crisis by the four causes as an average of the species extinction magnitude by the four causes in Fig. 3. I use two different contribution rates of temperature anomalies, pollution, deforestation, and stratospheric soot by nuclear wars, 1:0.2:0.1:1 for marine animals and 1:0.5:1:1 for terrestrial tetrapods (different contribution case considering lower influence of pollution and deforestation to marine animals rather than terrestrial animals) and 1:1:1:1 for marine animals and 1:1:1:1 for terrestrial tetrapods (equal contribution case considering high influence of pollution and deforestation to marine animals via rain and soil erosion) (Supplementary Tables S5–S9). These contribution rates are estimated as end-members to show ranges of animal species extinction magnitude (%). More

Madhusudan Katti says ecology would benefit from including perspectives from all of Earth’s inhabitants.Credit: Marc Hall

Decolonizing science

Science is steeped in injustice and exploitation. Scientific insights from marginalized people have been erased, natural history specimens have been taken without consent and genetics data have been manipulated to back eugenics movements. Without acknowledgement and redress of this legacy, many people from minority ethnic groups have little trust in science and certainly don’t feel welcome in academia — an ongoing barrier to the levels of diversity that many universities claim to pursue.
In the next of a short series of articles about decolonizing the biosciences, Madhusudan Katti suggests five shifts that ecologists need to make to unravel the effects of colonization on their field. Katti, an evolutionary ecologist at North Carolina State University in Raleigh, would also like to see stronger inclusion of uncredentialed experts and Indigenous communities in research.

Last year, my colleagues and I wrote a paper highlighting five shifts that would help to decolonize ecology (C. H. Trisos et al. Nature Ecol. Evol. 5, 1205–1212; 2021). Ecologists need to improve how they incorporate varied perspectives, approaches and interpretations from the diverse peoples inhabiting Earth’s natural environments. The five shifts are: the individual need to decolonize one’s mind; understand the history of colonization and how it shaped Western ecology; facilitate access to and dissemination of data; recognize diverse scientific expertise; and establish inclusive research groups. Although it can be difficult to make reforms given how resistant institutions are to change, we are optimistic because we have received invitations to speak on these issues. People are ready for these conversations.
Decolonizing science toolkit
My colleagues and I developed a workshop around the five shifts. We have conducted the workshop at my institution, and at the annual conference of the Society for Integrative and Comparative Biology. For each of the shifts, I have participants brainstorm and write down challenges and solutions that might lead to progress in these areas for their own research departments or institutions. We address them, shuffle groups and suggest policy changes and future action.Some organizations are already moving forward with some low-hanging fruit, such as making data and published results more accessible. However, open-access publishing models put an even greater burden of publication costs on authors and perpetuate inequalities, because early-career researchers and those in the global south often can’t afford them.The most contentious area tends to be the reluctance of academia to accept non-credentialed expertise such as traditional knowledge. Universities are in the business of giving out credentials in the form of degrees. If academia no longer requires a PhD, that can be a challenge to that model. There are also few, if any, incentives or rewards to spend time working towards decolonizing academia, even though it takes time and effort away from furthering individual careers.As an Indian American, I would like to see institutions expand antiracism conversations rather than introduce new checklists of things to do. For example, at annual meetings, it would be great to see scientific societies make more connections with the Indigenous communities where we work and invite them to share their perspectives.
This interview has been edited for length and clarity. More