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Home / Equine Research Bank / PLoS One / A Geographic Assessment of the Global Scope for Rewilding wi...
PloS one2015; 10(7); e0132359; doi: 10.1371/journal.pone.0132359

A Geographic Assessment of the Global Scope for Rewilding with Wild-Living Horses (Equus ferus).

Abstract: Megafaunas worldwide have been decimated during the late Quaternary. Many extirpated species were keystone species, and their loss likely has had large effects on ecosystems. Therefore, it is increasingly considered how megafaunas can be restored. The horse (Equus ferus) is highly relevant in this context as it was once extremely widespread and, despite severe range contraction, survives in the form of domestic, feral, and originally wild horses. Further, it is a functionally important species, notably due to its ability to graze coarse, abrasive grasses. Here, we used species distribution modelling to link locations of wild-living E. ferus populations to climate to estimate climatically suitable areas for wild-living E. ferus. These models were combined with habitat information and past and present distributions of equid species to identify areas suitable for rewilding with E. ferus. Mean temperature in the coldest quarter, precipitation in the coldest quarter, and precipitation in the driest quarter emerged as the best climatic predictors. The distribution models estimated the climate to be suitable in large parts of the Americas, Eurasia, Africa, and Australia and, combined with habitat mapping, revealed large areas to be suitable for rewilding with horses within its former range, including up to 1.5 million ha within five major rewilding areas in Europe. The widespread occurrence of suitable climates and habitats within E. ferus' former range together with its important functions cause it to be a key candidate for rewilding in large parts of the world. Successful re-establishment of wild-living horse populations will require handling the complexity of human-horse relations, for example, potential conflicts with ranchers and other agriculturalists or with other conservation aims, perception as a non-native invasive species in some regions, and coverage by legislation for domestic animals.
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Publication Date: 2015-07-15 PubMed ID: 26177104PubMed Central: PMC4503665DOI: 10.1371/journal.pone.0132359Google Scholar: Lookup
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Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The research focuses on the potential for rewilding of wild-living horses (Equus ferus) worldwide. It combines species distribution modelling with habitat, climatic conditions, and human-related factors to identify suitable areas for rewilding horses.

Understanding the Research

There are a few key aspects of the research that are essential to comprehend. These include:

  • The motivation for the study, which stems from the significant reduction of megafauna during the late Quaternary period. Noting the loss of many species that played a vital role in ecosystems, the research sets out to explore the possibilities of rewilding — restoring animals to their natural habitats.
  • The focus on the horse (Equus ferus), a species known for its past widespread distribution and importance in grazing coarse, abrasive grasses. This research is centered on understanding where this species might successfully be reintroduced.
  • Use of species distribution modelling to estimate climatically suitable areas for wild-living E. ferus. This model links the locations of current wild horse populations to climate, which helps in assessing potential areas for rewilding.
  • The three best climatic predictors identified — mean temperature and precipitation in the coldest quarter, and precipitation in the driest quarter. These factors play significant roles in identifying potential rewilding areas.
  • The combination of climate suitability, habitat mapping, and past and present distributions of equid species to identify areas suitable for rewilding with E. ferus.

Findings of the Study

Key discoveries from the study comprise of:

  • The identification of suitable climates for rewilding in large parts of the Americas, Eurasia, Africa, and Australia.
  • The revelation of large areas suitable for rewilding with horses within its former range, including up to 1.5 million hectares within five major rewilding areas in Europe.
  • The conclusion that the widespread occurrence of suitable climates and habitats, along with the horse’s important functions, make it a key candidate for rewilding in large parts of the world.

Challenges for Implementation

Several challenges for the successful re-establishment of wild-living horse populations emerge from the research:

  • The complexity of human-horse relations, particularly potential conflicts with ranchers, agriculturalists, and other conservation aims.
  • The perception of horses as non-native invasive species in some regions.
  • The necessity to navigate and potentially adjust legislation for domestic animals to encompass rewilded horses.

Cite This Article

APA
Naundrup PJ, Svenning JC. (2015). A Geographic Assessment of the Global Scope for Rewilding with Wild-Living Horses (Equus ferus). PLoS One, 10(7), e0132359. https://doi.org/10.1371/journal.pone.0132359

Publication

PloS one
ISSN: 1932-6203
NlmUniqueID: 101285081
Country: United States
Language: English
Volume: 10
Issue: 7
Pages: e0132359
PII: e0132359

Researcher Affiliations

Naundrup, Pernille Johansen
  • Section for Ecoinformatics and Biodiversity, Department of Bioscience, Aarhus University, Aarhus C, Denmark.
Svenning, Jens-Christian
  • Section for Ecoinformatics and Biodiversity, Department of Bioscience, Aarhus University, Aarhus C, Denmark.

MeSH Terms

  • Africa
  • Americas
  • Animal Distribution / physiology
  • Animals
  • Australia
  • Climate
  • Climate Change
  • Conservation of Natural Resources / legislation & jurisprudence
  • Conservation of Natural Resources / methods
  • Ecosystem
  • Europe
  • Geography
  • Horses / physiology
  • Humans
  • Models, Theoretical
  • Population Dynamics
  • Wilderness

Conflict of Interest Statement

The authors have declared that no competing interests exist.

References

This article includes 157 references
  1. Klein RG. Mammalian extinctions and stone age people in Africa. In: Martin PS, Klein RG, editors. Quarternary extinctions. Tucson: University of Arizona Press; 1984.
  2. Martin PS. Prehistoric overkill. Proceedings of the VII congress of the International Association for Quartinary Research 1967. New Haven: Yale University Press.
  3. Edwards WE. The late-pleistocene extinction and diminution in size of many mammalian species. Proceedings of the VII congress of the International Association for Quartenary Research 1967. New Haven: Yale University Press.
  4. Jelinek A. Man's role in the extinction of Pleistocene faunas. The VII congress of the International Association for Quartenary Research 1967. New Haven: Yale University Press.
  5. IUCN. The IUCN Red list of threatened species. Version 2013.2. 2013 [cited 2014 April].
  6. Griffiths CJ, Harris S. Prevention of secondary extinctions through taxon substitution.. Conserv Biol 2010 Jun;24(3):645-6.
    doi: 10.1111/j.1523-1739.2010.01511.xpubmed: 20579089google scholar: lookup
  7. Soulé M, Noss R. Rewilding and biodiversity: Complementary goals for continental conservation. Wild Earth 1998;8(3).
  8. Sandom CJ, Ejrnæs R, Hansen MD, Svenning JC. High herbivore density associated with vegetation diversity in interglacial ecosystems.. Proc Natl Acad Sci U S A 2014 Mar 18;111(11):4162-7.
    doi: 10.1073/pnas.1311014111pmc: PMC3964052pubmed: 24591633google scholar: lookup
  9. Owen-Smith N. Pleistocene extinctions: The pivotal role of megaherbivores. Paleobiology 1987;13(3):351–62.
    doi: 10.2307/2400736google scholar: lookup
  10. Dirzo R, Young HS, Galetti M, Ceballos G, Isaac NJ, Collen B. Defaunation in the Anthropocene.. Science 2014 Jul 25;345(6195):401-6.
    doi: 10.1126/science.1251817pubmed: 25061202google scholar: lookup
  11. Sandom CJ, Donlan CJ, Svenning J-C, Hansen D. Rewilding. In: Macdonald DW, Willis KJ, editors. Key topics in conservation biology 2. Chichester: Wiley-Blackwell; 2013. pp. 430–51.
  12. Seddon PJ, Griffiths CJ, Soorae PS, Armstrong DP. Reversing defaunation: restoring species in a changing world.. Science 2014 Jul 25;345(6195):406-12.
    doi: 10.1126/science.1251818pubmed: 25061203google scholar: lookup
  13. Rubenstein DR, Rubenstein DI, Sherman PW, Gavin TA. Pleistocene park: Does re-wilding North America represent sound conservation for the 21st century?. Biological Conservation 2006;132(2):232–8.
    doi: 10.1016/j.biocon.2006.04.003google scholar: lookup
  14. Caro T, Sherman P. Rewilding can cause rather than solve ecological problems.. Nature 2009 Dec 24;462(7276):985.
    doi: 10.1038/462985bpubmed: 20033023google scholar: lookup
  15. Oliveira-Santos LG, Fernandez FA. Pleistocene rewilding, frankenstein ecosystems, and an alternative conservation agenda.. Conserv Biol 2010 Feb;24(1):4-5.
    doi: 10.1111/j.1523-1739.2009.01379.xpubmed: 20121834google scholar: lookup
  16. Smith CI. Re-wilding: introductions could reduce biodiversity.. Nature 2005 Sep 15;437(7057):318.
    doi: 10.1038/437318apubmed: 16163327google scholar: lookup
  17. Linnartz L, Meissner R. Rewilding horses in Europe: Background and guidelines—a living document. The Netherlands: Rewilding Europe; 2014.
  18. Warmuth V, Eriksson A, Bower MA, Cañon J, Cothran G, Distl O, Glowatzki-Mullis ML, Hunt H, Luís C, do Mar Oom M, Yupanqui IT, Ząbek T, Manica A. European domestic horses originated in two holocene refugia.. PLoS One 2011 Mar 30;6(3):e18194.
    doi: 10.1371/journal.pone.0018194pmc: PMC3068172pubmed: 21479181google scholar: lookup
  19. Warmuth V, Eriksson A, Bower MA, Barker G, Barrett E, Hanks BK, Li S, Lomitashvili D, Ochir-Goryaeva M, Sizonov GV, Soyonov V, Manica A. Reconstructing the origin and spread of horse domestication in the Eurasian steppe.. Proc Natl Acad Sci U S A 2012 May 22;109(21):8202-6.
    doi: 10.1073/pnas.1111122109pmc: PMC3361400pubmed: 22566639google scholar: lookup
  20. Lippold S, Matzke NJ, Reissmann M, Hofreiter M. Whole mitochondrial genome sequencing of domestic horses reveals incorporation of extensive wild horse diversity during domestication.. BMC Evol Biol 2011 Nov 14;11:328.
    doi: 10.1186/1471-2148-11-328pmc: PMC3247663pubmed: 22082251google scholar: lookup
  21. Achilli A, Olivieri A, Soares P, Lancioni H, Hooshiar Kashani B, Perego UA, Nergadze SG, Carossa V, Santagostino M, Capomaccio S, Felicetti M, Al-Achkar W, Penedo MC, Verini-Supplizi A, Houshmand M, Woodward SR, Semino O, Silvestrelli M, Giulotto E, Pereira L, Bandelt HJ, Torroni A. Mitochondrial genomes from modern horses reveal the major haplogroups that underwent domestication.. Proc Natl Acad Sci U S A 2012 Feb 14;109(7):2449-54.
    doi: 10.1073/pnas.1111637109pmc: PMC3289334pubmed: 22308342google scholar: lookup
  22. Weinstock J, Willerslev E, Sher A, Tong W, Ho SY, Rubenstein D, Storer J, Burns J, Martin L, Bravi C, Prieto A, Froese D, Scott E, Xulong L, Cooper A. Evolution, systematics, and phylogeography of pleistocene horses in the new world: a molecular perspective.. PLoS Biol 2005 Aug;3(8):e241.
    doi: 10.1371/journal.pbio.0030241pmc: PMC1159165pubmed: 15974804google scholar: lookup
  23. Orlando L, Male D, Alberdi MT, Prado JL, Prieto A, Cooper A, Hänni C. Ancient DNA clarifies the evolutionary history of American Late Pleistocene equids.. J Mol Evol 2008 May;66(5):533-8.
    doi: 10.1007/s00239-008-9100-xpubmed: 18398561google scholar: lookup
  24. Orlando L, Metcalf JL, Alberdi MT, Telles-Antunes M, Bonjean D, Otte M, Martin F, Eisenmann V, Mashkour M, Morello F, Prado JL, Salas-Gismondi R, Shockey BJ, Wrinn PJ, Vasil'ev SK, Ovodov ND, Cherry MI, Hopwood B, Male D, Austin JJ, Hänni C, Cooper A. Revising the recent evolutionary history of equids using ancient DNA.. Proc Natl Acad Sci U S A 2009 Dec 22;106(51):21754-9.
    doi: 10.1073/pnas.0903672106pmc: PMC2799835pubmed: 20007379google scholar: lookup
  25. Bennett D, Hoffmann RS. Equus caballus. Mammalian Species 1999;(628): 1–14.
    doi: 10.2307/3504442google scholar: lookup
  26. Azzaroli A. Ascent and decline of monodactyl equids—A case for prehistoric overkill. Ann Zool Fenn 1991;28(3–4): 151–63.
  27. 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. Journal of Archaeological Science 2005;32(3): 375–91.
    doi: 10.1016/j.jas.2004.02.016google scholar: lookup
  28. Colbert E. Pleistocene mammals from the Ma Kai valley of northern Yunnan, China. American Museum Novitates 1940;1099: 1–4.
  29. Davis SJ. Late Pleistocene and Holocene equid remains from Israel. Zool J Linn Soc 1980;70(3): 289–312.
    doi: 10.1111/j.1096-3642.1980.tb00854.xgoogle scholar: lookup
  30. Ferrusquía-Villafranca I, Arroyo-Cabrales J, Martínez-Hernández E, Gama-Castro J, Ruiz-González J, Polaco OJ. Pleistocene mammals of Mexico: A critical review of regional chronofaunas, climate change response and biogeographic provinciality. Quaternary International 2010;217(1–2): 53–104.
    doi: 10.1016/j.quaint.2009.11.036google scholar: lookup
  31. Forsten A. Equus-lambei hay, the Yukon wild horse, not ass. J Mammal 1986;67(2): 422–3.
    doi: 10.2307/1380904google scholar: lookup
  32. Forsten A. The Late Pleistocene-Holocene horses, not asses, from Japan (Mammalia, Perissodactyla, Equus). Geobios 1998;31(4): 545–8.
    doi: 10.1016/S0016-6995(98)80125-3google scholar: lookup
  33. Kurtén B. Pleistocene mammals of North America. Kurtén B, Anderson E, editors. York New: Columbia University Press; 1980.
  34. MacFadden BJ. Dispersal of Pleistocene Equus (Family Equidae) into South America and calibration of GABI 3 based on evidence from Tarija, Bolivia.. PLoS One 2013;8(3):e59277.
    doi: 10.1371/journal.pone.0059277pmc: PMC3603859pubmed: 23527150google scholar: lookup
  35. Mihlbachler MC, Rivals F, Solounias N, Semprebon GM. Dietary change and evolution of horses in North America.. Science 2011 Mar 4;331(6021):1178-81.
    doi: 10.1126/science.1196166pubmed: 21385712google scholar: lookup
  36. MacFadden BJ, Solounias N, Cerling TE. Ancient diets, ecology, and extinction of 5-million-year-Old horses from florida.. Science 1999 Feb 5;283(5403):824-7.
    doi: 10.1126/science.283.5403.824pubmed: 9933161google scholar: lookup
  37. Solow AR, Roberts DL, Robbirt KM. On the Pleistocene extinctions of Alaskan mammoths and horses.. Proc Natl Acad Sci U S A 2006 May 9;103(19):7351-3.
    doi: 10.1073/pnas.0509480103pmc: PMC1464344pubmed: 16651534google scholar: lookup
  38. Sommer RS, Benecke N, Lõugas L, Nelle O, Schmölcke U. Holocene survival of the wild horse in Europe: a matter of open landscape?. Journal of Quaternary Science 2011;26(8): 805–12.
    doi: 10.1002/jqs.1509google scholar: lookup
  39. Groves CP. Horses, asses and zebras in the wild. Newton Abbot: David & Charles; 1974.
  40. Outram AK, Stear NA, Bendrey R, Olsen S, Kasparov A, Zaibert V, Thorpe N, Evershed RP. The earliest horse harnessing and milking.. Science 2009 Mar 6;323(5919):1332-5.
    doi: 10.1126/sciencepubmed: 19265018google scholar: lookup
  41. Moehlman PD. Equids: zebras, asses and horses. Moehlman PD, editor. Cambridge, UK: IUCN—The World Conservation Union, Publications Services Unit; 2002.
  42. Haile J, Froese DG, Macphee RD, Roberts RG, Arnold LJ, Reyes AV, Rasmussen M, Nielsen R, Brook BW, Robinson S, Demuro M, Gilbert MT, Munch K, Austin JJ, Cooper A, Barnes I, Möller P, Willerslev E. Ancient DNA reveals late survival of mammoth and horse in interior Alaska.. Proc Natl Acad Sci U S A 2009 Dec 29;106(52):22352-7.
    doi: 10.1073/pnas.0912510106pmc: PMC2795395pubmed: 20018740google scholar: lookup
  43. Martínez-Meyer E, Townsend Peterson A, Hargrove WW. Ecological niches as stable distributional constraints on mammal species, with implications for Pleistocene extinctions and climate change projections for biodiversity. Global Ecology and Biogeography 2004;13(4): 305–14.
    doi: 10.1111/j.1466-822X.2004.00107.xgoogle scholar: lookup
  44. Politis GG, Gutiérrez MA. Gliptodontes y Cazadores-Recolectores de la Region Pampeana (Argentina). Latin American Antiquity 1998;9(2): 111–34.
    doi: 10.2307/971990google scholar: lookup
  45. Alroy J. A multispecies overkill simulation of the end-Pleistocene megafaunal mass extinction.. Science 2001 Jun 8;292(5523):1893-6.
    doi: 10.1126/science.1059342pubmed: 11397940google scholar: lookup
  46. Sánchez Chillón B, Prado JL, Alberdi Alonso MT. Ancient feeding ecology and extinction of Pleistocene horses from the Pampean Region (Argentina). AMEGHINIANA (Rev Asoc Paleontol Argent) 2006;43(2): 427–36.
  47. Long JL. Introduced mammals of the world: their history, distribution and influence. Long JL, editor. Wallingford, UK: CABI Publishing; 2003.
  48. Dobbie WR, Berman DM, Braysher ML. Managing vertebrate pests: Feral horses. Canberra: Australian Government Publishing Service; 1993.
  49. Dawson M, Lane C, Saunders G. Proceedings of the national feral horse management workshop. The national feral horse management workshop; 2006; Canberra.
  50. Rogers GM. Kaimanawa feral horses and their environmental impacts. New Zealand Journal of Ecology 1991;15(1): 49–64.
  51. The Department of Conservation. Kaimanawa wild horses plan. New Zealand. Availabe: http://www.doc.govt.nz/publications/conservation/threats-and-impacts/animal-pests/kaimanawa-wild-horses-plan/ Accessed May 1, 2014.
  52. . The wild free-roaming horses and burros act of 1971 (Public law 92–195). 1971.
  53. Levin PS, Ellis J, Petrik R, Hay ME. Indirect Effects of Feral Horses on Estuarine Communities. Conservation Biology 2002;16(5): 1364–71.
    doi: 10.1046/j.1523-1739.2002.01167.xgoogle scholar: lookup
  54. Rewilding Europe. Available: http://www.rewildingeurope.com/areas/ Accessed May 1st 2014. [cited 2014 May 1st]. Available from: http://www.rewildingeurope.com/areas/.
  55. Menard C, Duncan P, Fleurance G, Georges J-Y, Lila M. Comparative foraging and nutrition of horses and cattle in European wetlands. J Appl Ecol 2002;39(1): 120–33.
    doi: 10.1046/j.1365-2664.2002.00693.xgoogle scholar: lookup
  56. Buttenschøn RM. Græsning og høslet i naturplejen. Hørsholm, Denmark: Miljøministeriet, Skov- og Naturstyrelsen og Center for Skov, Landskab og Planlægning, Københavns Universitet; 2007.
  57. Carpenter D, Hammond PM, Sherlock E, Lidgett A, Leigh K, Eggleton P. Biodiversity of soil macrofauna in the New Forest: a benchmark study across a national park landscape. Biodiversity and Conservation 2012;21(13): 3385–410.
    doi: 10.1007/s10531-012-0369-0google scholar: lookup
  58. Ostermann-Kelm SD, Atwill EA, Rubin ES, Hendrickson LE, Boyce WM. Impacts of feral horses on a desert environment.. BMC Ecol 2009 Nov 10;9:22.
    doi: 10.1186/1472-6785-9-22pmc: PMC2781800pubmed: 19903355google scholar: lookup
  59. van Beest FM, Uzal A, Vander Wal E, Laforge MP, Contasti AL, Colville D, McLoughlin PD. Increasing density leads to generalization in both coarse-grained habitat selection and fine-grained resource selection in a large mammal.. J Anim Ecol 2014 Jan;83(1):147-56.
    doi: 10.1111/1365-2656.12115pubmed: 23931034google scholar: lookup
  60. van Dierendonck MC, Bandi N, Batdorj D, Dugerlham S, Munkhtsog B. Behavioural observations of reintroduced Takhi or Przewalski horses (Equus ferus przewalskii) in Mongolia. Applied Animal Behaviour Science 1996;50(2): 95–114.
    doi: 10.1016/0168-1591(96)01089-1google scholar: lookup
  61. Greyling T, Cilliers SS, Van Hamburg H. Vegetation studies of feral horse habitat in the Namib Naukluft Park, Namibia. S Afr J Bot 2007;73(2): 328-.
    doi: 10.1016/j.sajb.2007.02.161google scholar: lookup
  62. Rogers P, Myers K. Animal distributions, landscape classification and wildlife management, Coto Doñana, Spain. J Appl Ecol 1980;17: 545–65.
  63. Crane KK, Smith MA, Reynolds D. Habitat selection patterns of feral horses in southcentral Wyoming. J Range Manage 1997;50(4): 374–80.
  64. Klimov V, Paklina N. Mustangs on the Manych Lake. Horse Breeding and Equestrian Sport, Soviet monthly magazine 1985.
  65. National Research Counsil. Wild and free-roaming horses and burros: current knowledge and recomended research. Washington, DC; 1980.
  66. Girard TL, Bork EW, Nielsen SE, Alexander MJ. Seasonal variation in habitat selection by free-ranging feral horses within Alberta's forest reserve. Rangeland Ecology & Management 2013;66(4): 428–37.
    doi: 10.2111/rem-d-12-00081.1google scholar: lookup
  67. Berger J. Wild horses of the Great Basin: social competition and population size. Chicago: University of Chicago Press; 1986.
  68. Girard TL, Bork EW, Nielsen SE, Alexander MJ. Landscape-scale factors affecting feral horse habitat use during summer within the rocky mountain foothills.. Environ Manage 2013 Feb;51(2):435-47.
    doi: 10.1007/s00267-012-9987-2pubmed: 23183796google scholar: lookup
  69. Miller R. Habitat use of feral horses and cattle in Wyoming Red Desert. J Range Manage 1983;36(2): 195–9.
    doi: 10.2307/3898161google scholar: lookup
  70. Cothran EG, van Dyk E, van der Merwe FJ. Genetic variation in the feral horses of the Namib Desert, Namibia.. J S Afr Vet Assoc 2001 Mar;72(1):18-22.
    pubmed: 11563711doi: 10.4102/jsava.v72i1.603google scholar: lookup
  71. Pratt R, Putman R, Ekins J, Edwards P. Use of habitat by free-ranging cattle and ponies in the New Forest, southern England. J Appl Ecol 1986;23(2): 539–57.
  72. Cameron EZ, Linklater WL, Minot EO, Stafford KJ. Population dynamics 1994–98 and management, of Kaimanawa wild horses. Science for Conservation Wellington, New Zealand: Department of Conservation; 2001.
  73. Linklater WL, Cameron EZ, Stafford KJ, veltman CJ. Social and spatial structure and range use by Kaimanawa wild horses (Equus caballus: Equidae). New Zealand Journal of Ecology 2000;24(2): 139–52.
  74. Alejandro L, Distel RA, Zalba SM. Large herbivore grazing and non-native plant invasions in montane grasslands of Central Argentina. Natural Areas Journal 2010;30(2): 148–55.
    doi: 10.3375/043.030.0203google scholar: lookup
  75. Scorolli AL, Lopez Cazorla AC, Tejera LA. Unusual mass mortality of feral horses during a violent rainstorm in Parque Årovincial Tornquist, Argentina. Mastozoología Neotropical 2006;13(2): 255–8.
  76. Zalba SM, Cozzani NC. The impact of feral horses on grassland bird communities in Argentina. Animal Conservation 2004;7(1): 35–44.
    doi: 10.1017/s1367943003001094google scholar: lookup
  77. Rheinhardt RD, Rheinhardt MC. Feral horse seasonal habitat use on a coastal barrier split. J Range Manage 2004;57(3): 253–8.
  78. Duncan P. Determinants of the use of habitat by horses in a mediterranian wetland. Journal of Animal Ecology 1983;52: 93–109.
  79. Saastamoinen MT. Foraging behaviour of equids grazing on partially improved heathlands. 2012. In: Forages and grazing in horse nutrition [Internet]. Wageningen: Wageningen Academic PublishersEAAP publication, no.132. Available from: 10.3920/978-90-8686-755-4.
    doi: 10.3920/978-90-8686-755-4google scholar: lookup
  80. Guisan A, Zimmermann NE. Predictive habitat distribution models in ecology. Ecological Modelling 2000;135(2–3): 147–86.
    doi: 10.1016/S0304-3800(00)00354-9google scholar: lookup
  81. Morueta-Holme N, Fløjgaard C, Svenning JC. Climate change risks and conservation implications for a threatened small-range mammal species.. PLoS One 2010 Apr 29;5(4):e10360.
    doi: 10.1371/journal.pone.0010360pmc: PMC2861593pubmed: 20454451google scholar: lookup
  82. Ottaviani D, Panzacchi M, Lasinio GJ, Genovesi P, Boitani L. Modelling semi-aquatic vertebrates' distribution at the drainage basin scale: The case of the otter Lutra lutra in Italy. Ecological Modelling 2009;220(2): 111–21.
    doi: 10.1016/j.ecolmodel.2008.09.014google scholar: lookup
  83. Hu J, Jiang Z. Predicting the potential distribution of the endangered Przewalski's gazelle. Journal of Zoology 2010;282(1): 54–63.
    doi: 10.1111/j.1469-7998.2010.00715.xgoogle scholar: lookup
  84. Thuiller W, Araújo MB, Lavorel S. Do we need land-cover data to model species distributions in Europe?. Journal of Biogeography 2004;31(3): 353–61.
    doi: 10.1046/j.0305-0270.2003.00991.xgoogle scholar: lookup
  85. Kuemmerle T, Radeloff VC, Perzanowski K, Kozlo P, Sipko T, Khoyetskyy P, Bashta AT, Chikurova E, Parnikoza I, Baskin L, Angelstam P, Waller DM. Predicting potential European bison habitat across its former range.. Ecol Appl 2011 Apr;21(3):830-43.
    doi: 10.1890/10-0073.1pubmed: 21639048google scholar: lookup
  86. Latif QS, Saab VA, Dudley JG, Hollenbeck JP. Ensemble modeling to predict habitat suitability for a large-scale disturbance specialist.. Ecol Evol 2013 Nov;3(13):4348-64.
    doi: 10.1002/ece3.790pmc: PMC3856736pubmed: 24340177google scholar: lookup
  87. Richmond OM, McEntee JP, Hijmans RJ, Brashares JS. Is the climate right for pleistocene rewilding? Using species distribution models to extrapolate climatic suitability for mammals across continents.. PLoS One 2010 Sep 22;5(9):e12899.
    doi: 10.1371/journal.pone.0012899pmc: PMC2943917pubmed: 20877563google scholar: lookup
  88. Csurhes S, Paroz G, Markula A. Pest animal risk assessment: Feral horse Equus caballus. The State of Queensland, Department of Employment, Economic Development and Innovation; 2009.
  89. Agerskov U, Bisgaard MP. Statistical Yearbook 2012. Copenhagen, Denmark: Danmarks Statistic; 2012.
  90. Hampson BA, de Laat MA, Mills PC, Pollitt CC. Distances travelled by feral horses in 'outback' Australia.. Equine Vet J Suppl 2010 Nov;(38):582-6.
    doi: 10.1111/j.2042-3306.2010.00203.xpubmed: 21059064google scholar: lookup
  91. Phillips SJ, Anderson RP, Schapire RE. Maximum entropy modeling of species geographic distributions. Ecological Modelling 2006;190(3–4): 231–59.
    doi: 10.1016/j.ecolmodel.2005.03.026google scholar: lookup
  92. Farber O, Kadmon R. Assesment of alternative approaches for bioclimatic modeling with special emphasis on the Mahalanobis distance. Ecological Modelling 2003;160: 115–30.
  93. Pearson RG, Thuiller W, Araújo MB, Martinez-Meyer E, Brotons L, McClean C. Model-based uncertainty in species range prediction. Journal of Biogeography 2006;33(10): 1704–11.
    doi: 10.1111/j.1365-2699.2006.01460.xgoogle scholar: lookup
  94. Elith J, Graham CH, Anderson RP, Dudík M, Ferrier S, Guisan A. Novel methods improve prediction of species’ distributions from occurrence data. Ecography 2006;29(2): 129–51.
    doi: 10.1111/j.2006.0906-7590.04596.xgoogle scholar: lookup
  95. Phillips SJ, Dudik M. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography 2008;31(2): 161–75.
    doi: 10.1111/j.0906-7590.2008.5203.xgoogle scholar: lookup
  96. Kerley GIH, Kowalczyk R, Cromsigt JPGM. Conservation implications of the refugee species concept and the European bison: king of the forest or refugee in a marginal habitat?. Ecography 2012;35(6): 519–29.
    doi: 10.1111/j.1600-0587.2011.07146.xgoogle scholar: lookup
  97. Cromsigt JPGM, Kerley GIH, Kowalczyk R. The difficulty of using species distribution modelling for the conservation of refugee species—the example of European bison. Diversity and Distributions 2012;18(12): 1253–7.
    doi: 10.1111/j.1472-4642.2012.00927.xgoogle scholar: lookup
  98. Verbruggen H. OccurrenceThinner version 1.04. 2012 [cited 2014 March]. Available from: http://www.phycoweb.net/software.
  99. Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A. Very high resolution interpolated climate surfaces for global land areas. Int J Climatol 2005;25(15): 1965–78.
    doi: 10.1002/joc.1276google scholar: lookup
  100. Araújo MB, New M. Ensemble forecasting of species distributions.. Trends Ecol Evol 2007 Jan;22(1):42-7.
    doi: 10.1016/j.tree.2006.09.010pubmed: 17011070google scholar: lookup
  101. Freeman EA, Moisen GG. A comparison of the performance of threshold criteria for binary classification in terms of predicted prevalence and kappa. Ecological Modelling 2008;217(1–2): 48–58.
    doi: 10.1016/j.ecolmodel.2008.05.015google scholar: lookup
  102. Allouche O, Tsoar A, Kadmon R. Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS). J Appl Ecol 2006;43(6): 1223–32.
    doi: 10.1111/j.1365-2664.2006.01214.xgoogle scholar: lookup
  103. Liu CR, Berry PM, Dawson TP, Pearson RG. Selecting thresholds of occurrence in the prediction of species distributions. Ecography 2005;28(3): 385–93.
    doi: 10.1111/j.0906-7590.2005.03957.xgoogle scholar: lookup
  104. Pearson RG, Dawson TP, Liu C. Modelling species distributions in Britain: a hierarchical integration of climate and land-cover data. Ecography 2004;27(3): 285–98.
    doi: 10.1111/j.0906-7590.2004.03740.xgoogle scholar: lookup
  105. Landis JR, Koch GG. The measurement of observer agreement for categorical data.. Biometrics 1977 Mar;33(1):159-74.
    doi: 10.2307/2529310pubmed: 843571google scholar: lookup
  106. Swets JA. Measuring the accuracy of diagnostic systems.. Science 1988 Jun 3;240(4857):1285-93.
    doi: 10.1126/science.3287615pubmed: 3287615google scholar: lookup
  107. Arino O, Bicheron P, Achard F, Latham J, Witt R, Weber JL. GLOBCOVER The most detailed portrait of Earth. ESA Bull-Eur Space Agency 2008;(136): 24–31.
  108. Salter RE, Hudson RJ. Feeding ecology of feral horses in western Alberta. J Range Manage 1979;32(3): 221–5.
    doi: 10.2307/3897127google scholar: lookup
  109. Ganskopp D. Slope use by cattle, feral horses, deer and bighorn sheep. Northwest Sci 1987;61(2): 74–81.
  110. Pearson RG, Dawson TP. Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful?. Global Ecology and Biogeography 2003;12(5): 361–71.
    doi: 10.1046/j.1466-822X.2003.00042.xgoogle scholar: lookup
  111. Wisz MS, Pottier J, Kissling WD, Pellissier L, Lenoir J, Damgaard CF, Dormann CF, Forchhammer MC, Grytnes JA, Guisan A, Heikkinen RK, Høye TT, Kühn I, Luoto M, Maiorano L, Nilsson MC, Normand S, Öckinger E, Schmidt NM, Termansen M, Timmermann A, Wardle DA, Aastrup P, Svenning JC. The role of biotic interactions in shaping distributions and realised assemblages of species: implications for species distribution modelling.. Biol Rev Camb Philos Soc 2013 Feb;88(1):15-30.
    doi: 10.1111/j.1469-185X.2012.00235.xpmc: PMC3561684pubmed: 22686347google scholar: lookup
  112. Solomonov NG, Anufriev AI, Yadrikhinskii VF, Isaev AP. Body temperature changes in purebred and hybrid Yakut horses under the conditions of Yakutia.. Dokl Biol Sci 2009 Jul-Aug;427:358-61.
    doi: 10.1134/S0012496609040164pubmed: 19760883google scholar: lookup
  113. van de Vlasakker JWG. Evaluation of natural grazing in the nature park 'Pape'. the Netherlands: Flaxfield Nature Consultancy, 2006.
  114. Lomolino MV. Biogeography. 4 ed Sunderland MA: Sinauer Associates; 2010. p. 137.
  115. Van Dierendonck MC, Wallis de Vries MF. Ungulate reintroductions: Experiences with the Takhi or Przewalski Horse (Equus ferus przewalskii) in Mongolia. Conservation Biology 1996;10(3): 728–40.
    doi: 10.1046/j.1523-1739.1996.10030728.xgoogle scholar: lookup
  116. Ballesteros-Mejia L, Kitching IJ, Jetz W, Nagel P, Beck J. Mapping the biodiversity of tropical insects: species richness and inventory completeness of African sphingid moths. Global Ecology and Biogeography 2013;22(5): 586–95.
    doi: 10.1111/geb.12039google scholar: lookup
  117. Boakes EH, McGowan PJ, Fuller RA, Chang-qing D, Clark NE, O'Connor K, Mace GM. Distorted views of biodiversity: spatial and temporal bias in species occurrence data.. PLoS Biol 2010 Jun 1;8(6):e1000385.
    doi: 10.1371/journal.pbio.1000385pmc: PMC2879389pubmed: 20532234google scholar: lookup
  118. Yang W, Ma K, Kreft H. Geographical sampling bias in a large distributional database and its effects on species richness–environment models. Journal of Biogeography 2013;40(8): 1415–26.
    doi: 10.1111/jbi.12108google scholar: lookup
  119. Dennis RH, Sparks T, Hardy P. Bias in butterfly distribution maps: The effects of sampling effort. Journal of Insect Conservation 1999;3(1): 33–42.
    doi: 10.1023/A:1009678422145google scholar: lookup
  120. Dennis RLH, Thomas CD. Bias in butterfly distribution maps: The influence of hot spots and recorder's home range. Journal of Insect Conservation 2000;4(2): 73–7.
    doi: 10.1023/A:1009690919835google scholar: lookup
  121. Reddy S, Dávalos LM. Geographical sampling bias and its implications for conservation priorities in Africa. Journal of Biogeography 2003;30(11): 1719–27.
    doi: 10.1046/j.1365-2699.2003.00946.xgoogle scholar: lookup
  122. Leitão PJ, Moreira F, Osborne PE. Effects of geographical data sampling bias on habitat models of species distributions: a case study with steppe birds in southern Portugal. International Journal of Geographical Information Science 2011;25(3): 439–54.
    doi: 10.1080/13658816.2010.531020google scholar: lookup
  123. Pearson RG, Raxworthy CJ, Nakamura M, Townsend Peterson A. Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar. Journal of Biogeography 2007;34(1): 102–17.
    doi: 10.1111/j.1365-2699.2006.01594.xgoogle scholar: lookup
  124. van Asperen EN. Ecomorphological adaptations to climate and substrate in late Middle Pleistocene caballoid horses. Palaeogeography, Palaeoclimatology, Palaeoecology 2010;297(3–4): 584–96.
    doi: 10.1016/j.palaeo.2010.09.007google scholar: lookup
  125. Fox-Dobbs K, Leonard JA, Koch PL. Pleistocene megafauna from eastern Beringia: Paleoecological and paleoenvironmental interpretations of stable carbon and nitrogen isotope and radiocarbon records. Paleogeogr Paleoclimatol Paleoecol 2008;261(1–2): 30–46.
    doi: 10.1016/j.palaeo.2007.12.011google scholar: lookup
  126. Palmqvist P, Grokke DR, Arribas A, Farina RA. Paleoecological reconstruction of a lower Pleistocene large mammal community using biogeochemical (delta C-13, delta N-15, delta O-18, Sr: Zn) and ecomorphological approaches. Paleobiology 2003;29(2): 205–29.
    doi: 10.1666/0094-8373(2003)029<0205:proalp>2.0.co;2google scholar: lookup
  127. MacFadden BJ, Shockey BJ. Ancient feeding ecology and niche differentiation of Pleistocene mammalian herbivores from Tarija, Bolivia: Morphological and isotopic evidence. Paleobiology 1997;23(1): 77–100.
  128. Macfadden BJ, Cerling TE, Harris JM, Prado J. Ancient latitudinal gradients of C3/C4 grasses interpreted from stable isotopes of New World Pleistocene horse (Equus) teeth. Global Ecology and Biogeography 1999;8(2): 137–49.
    doi: 10.1046/j.1466-822X.1999.00127.xgoogle scholar: lookup
  129. Rivals F. Ungulate feeding ecology and middle Pleistocene paleoenvironmentals at Hundsheim and Deutsch-Altenburg 1 (eastern Austria). Paleogeogr Paleoclimatol Paleoecol 2012.
  130. Bonde AM. Paleoecology of Late Pleistocene megaherbivores: Stable isotope reconstruction of environment, climate, and response. University of Nevada; 2013.
  131. Feranec R, Garcia N, Diez JC, Arsuaga JL. Understanding the ecology of mammalian carnivorans and herbivores from Valdegoba cave (Burgos, northern Spain) through stable isotope analysis. Paleogeogr Paleoclimatol Paleoecol 2010;297(2): 263–72.
    doi: 10.1016/j.palaeo.2010.08.006google scholar: lookup
  132. Bocherens H, Billiou D, Mariotti A, Patou-Mathis M, Otte M, Bonjean D. Palaeonvironmental and palaeodietary implications of isotopic biogeochemistry of last interglacial Neanderthal and mammal bones in Scladina Cave (Belgium). Journal of Archaeological Science 1999;26(6): 599–607.
    doi: 10.1006/jasc.1998.0377google scholar: lookup
  133. Domingo L, Prado JL, Alberdi MT. The effect of paleoecology and paleobiogeography on stable isotopes of Quaternary mammals from South America. Quat Sci Rev 2012;55: 103–13.
    doi: 10.1016/j.quascirev.2012.08.017google scholar: lookup
  134. Prado JL, Sánchez B, Alberdi MT. Ancient feeding ecology inferred from stable isotopic evidence from fossil horses in South America over the past 3 Ma.. BMC Ecol 2011 Jun 14;11:15.
    doi: 10.1186/1472-6785-11-15pmc: PMC3129290pubmed: 21672241google scholar: lookup
  135. Greyling T. Factors affecting possible management strategies for the Namib feral horses. 2005.
  136. Bennett D. Horse breeding and management. In: Neimann-Sørensen A, Tribe DE, Evans JW, editors. World animal science Subseries C, Production system approach. Amsterdam: Elsevier Science; 1992.
  137. Vera FWM. Large-scale nature development—the Oostvaardersplassen. British Wildlife 2009;20: 28–36.
  138. Burke A, Eisenmann V, Ambler GK. The systematic position of Equus hydruntinus, an extinct species of Pleistocene equid. Quat Res 2003;59(3): 459–69.
    doi: 10.1016/s0033-5894(03)00059-0google scholar: lookup
  139. Forsten A. Middle Pleistocene replacement of stenonid horses by caballoid horses—ecological implications. Palaeogeography, Palaeoclimatology, Palaeoecology 1988;65(1–2): 23–33.
    doi: 10.1016/0031-0182(88)90109-5google scholar: lookup
  140. Clutton-Brock J. A natural history of domesticated mammals. 2 ed Cambridge: Cambridge University Press; 1999.
  141. Waring GH. Horse behavior The behavioral traits and adaptations of domestic and wild horses, including ponies. Saddle River, NJ: Noyes Publications; 1983.
  142. Rubenstein DI. Ecology and society in horses and zebras. In: Rubenstein DI, Wrangham RW, editors. Ecological aspects of social evolution. Princeton, NJ: Princeton University Press; 1986. pp. 282–302.
  143. Caro T, Izzo A, Reiner RC Jr, Walker H, Stankowich T. The function of zebra stripes.. Nat Commun 2014 Apr 1;5:3535.
    doi: 10.1038/ncomms4535pubmed: 24691390google scholar: lookup
  144. Nimmo DG, Miller KK. Ecological and human dimensions of management of feral horses in Australia: a review. Wildl Res 2007;34(5): 408–17.
    doi: 10.1071/wr06102google scholar: lookup
  145. Goodloe RB, Warren RJ, Cothran EG, Bratton SP, Trembicki KA. Genetic variation and its management applications in eastern U.S. feral horses. The Journal of Wildlife Management 1991;55(3): 412–21.
    doi: 10.2307/3808969google scholar: lookup
  146. Pratt-Phillips SE, Stuska S, Beveridge HL, Yoder M. Nutritional quality of forages consumed by feral horses: The horses of Shackleford Banks. Journal of Equine Veterinary Science 2011;31(11): 640–4.
    doi: 10.1016/j.jevs.2011.05.012google scholar: lookup
  147. Diedrich CG, Zak K. Prey deposits and den sites of the Upper Pleistocene hyena Crocuta crocuta spelaea (Goldfuss, 1823) in horizontal and vertical caves of the Bohemian Karst (Czech Republic). Bulletin of Geosciences 2006;81(4): 237–76.
  148. Garrott RA, Siniff DB, Eberhardt LL. Growth-rates of feral horse populations. Journal of Wildlife Management 1991;55(4): 641–8.
    doi: 10.2307/3809513google scholar: lookup
  149. Turner JW, Morrison ML. Influence of predation by mountain lions on numbers and survivorship of a feral horse population. Southw Natural 2001;46(2): 183–90.
    doi: 10.2307/3672527google scholar: lookup
  150. Zeigenfuss LC, Schoenecker KA, Ransom JI, Ignizio DA, Mask T. Influence of nonative and native ungulate biomass and seasonal precipitation on vegetation production in a Great Basin ecosystem. West North Am Naturalist 2014;74(3): 286–98.
  151. Davies KW, Collins G, Boyd CS. Effects of feral free-roaming horses on semi-arid rangeland ecosystems: an example from the sagebrush steppe. Ecosphere 2014;5(10).
    doi: 10.1890/es14-00171.1google scholar: lookup
  152. van Klink R, van der Plas F, van Noordwijk CG, WallisDeVries MF, Olff H. Effects of large herbivores on grassland arthropod diversity.. Biol Rev Camb Philos Soc 2015 May;90(2):347-66.
    doi: 10.1111/brv.12113pmc: PMC4402009pubmed: 24837856google scholar: lookup
  153. Chapron G, Kaczensky P, Linnell JD, von Arx M, Huber D, Andrén H, López-Bao JV, Adamec M, Álvares F, Anders O, Balčiauskas L, Balys V, Bedő P, Bego F, Blanco JC, Breitenmoser U, Brøseth H, Bufka L, Bunikyte R, Ciucci P, Dutsov A, Engleder T, Fuxjäger C, Groff C, Holmala K, Hoxha B, Iliopoulos Y, Ionescu O, Jeremić J, Jerina K, Kluth G, Knauer F, Kojola I, Kos I, Krofel M, Kubala J, Kunovac S, Kusak J, Kutal M, Liberg O, Majić A, Männil P, Manz R, Marboutin E, Marucco F, Melovski D, Mersini K, Mertzanis Y, Mysłajek RW, Nowak S, Odden J, Ozolins J, Palomero G, Paunović M, Persson J, Potočnik H, Quenette PY, Rauer G, Reinhardt I, Rigg R, Ryser A, Salvatori V, Skrbinšek T, Stojanov A, Swenson JE, Szemethy L, Trajçe A, Tsingarska-Sedefcheva E, Váňa M, Veeroja R, Wabakken P, Wölfl M, Wölfl S, Zimmermann F, Zlatanova D, Boitani L. Recovery of large carnivores in Europe's modern human-dominated landscapes.. Science 2014 Dec 19;346(6216):1517-9.
    doi: 10.1126/science.1257553pubmed: 25525247google scholar: lookup
  154. Hughes FMR, Stroh PA, Adams WM, Kirby KJ, Mountford JO, Warrington S. Monitoring and evaluating large-scale, ‘open-ended’ habitat creation projects: A journey rather than a destination. Journal for Nature Conservation 2011;19(4): 245–53.
    doi: 10.1016/j.jnc.2011.02.003google scholar: lookup
  155. Bhattacharyya J, Slocombe DS, Murphy SD. The “Wild” or “Feral” distraction: Effects of cultural understandings on management controversy over free-ranging horses (Equus ferus caballus). Human Ecology 2011;39(5): 613–25.
    doi: 10.1007/s10745-011-9416-9google scholar: lookup
  156. Buckley AW, Buckley WW. Straying wild horses and the range landowner: The search for peaceful coexistence. Pub Land L Rev 1983;4: 29–50.
  157. Churcher CS, Kleindienst MR, Schwarcz HP. Faunal remains from a Middle Pleistocene lacustrine marl in Dakhleh Oasis, Egypt: palaeoenvironmental reconstructions. Palaeogeography, Palaeoclimatology, Palaeoecology 1999;154(4): 301–12.
    doi: 10.1016/S0031-0182(99)00104-2google scholar: lookup

Citations

This article has been cited 9 times.
  1. Anna C, Martyna P, Marcin S, Dawid W. Habitat use by semi-feral Konik horses on wetlands-three-year GPS study.. Environ Monit Assess 2023 Aug 11;195(9):1033.
    doi: 10.1007/s10661-023-11605-ypubmed: 37563498google scholar: lookup
  2. Mata JC, Buitenwerf R, Svenning JC. Enhancing monitoring of rewilding progress through wildlife tracking and remote sensing.. PLoS One 2021;16(7):e0253148.
    doi: 10.1371/journal.pone.0253148pubmed: 34242225google scholar: lookup
  3. Tydén E, Jansson A, Ringmark S. Parasites in Horses Kept in A 2.5 Year-Round Grazing System in Nordic Conditions without Supplementary Feeding.. Animals (Basel) 2019 Dec 17;9(12).
    doi: 10.3390/ani9121156pubmed: 31861066google scholar: lookup
  4. Root-Bernstein M, Ladle R. Ecology of a widespread large omnivore, Homo sapiens, and its impacts on ecosystem processes.. Ecol Evol 2019 Oct;9(19):10874-10894.
    doi: 10.1002/ece3.5049pubmed: 31641442google scholar: lookup
  5. Ringmark S, Skarin A, Jansson A. Impact of Year-Round Grazing by Horses on Pasture Nutrient Dynamics and the Correlation with Pasture Nutrient Content and Fecal Nutrient Composition.. Animals (Basel) 2019 Jul 29;9(8).
    doi: 10.3390/ani9080500pubmed: 31362460google scholar: lookup
  6. Nüchel J, Bøcher PK, Xiao W, Zhu AX, Svenning JC. Snub-nosed monkeys (Rhinopithecus): potential distribution and its implication for conservation.. Biodivers Conserv 2018;27(6):1517-1538.
    doi: 10.1007/s10531-018-1507-0pubmed: 31258260google scholar: lookup
  7. Jarvie S, Svenning JC. Using species distribution modelling to determine opportunities for trophic rewilding under future scenarios of climate change.. Philos Trans R Soc Lond B Biol Sci 2018 Oct 22;373(1761).
    doi: 10.1098/rstb.2017.0446pubmed: 30348873google scholar: lookup
  8. Hofman-Kamińska E, Bocherens H, Borowik T, Drucker DG, Kowalczyk R. Stable isotope signatures of large herbivore foraging habitats across Europe.. PLoS One 2018;13(1):e0190723.
    doi: 10.1371/journal.pone.0190723pubmed: 29293647google scholar: lookup
  9. Svenning JC, Pedersen PB, Donlan CJ, Ejrnæs R, Faurby S, Galetti M, Hansen DM, Sandel B, Sandom CJ, Terborgh JW, Vera FW. Reply to Rubenstein and Rubenstein: Time to move on from ideological debates on rewilding.. Proc Natl Acad Sci U S A 2016 Jan 5;113(1):E2-3.
    doi: 10.1073/pnas.1521891113pubmed: 26676583google scholar: lookup
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