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Cited by 374

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Global patterns in endemism explained by past climatic change

Open access
Jansson, Roland·2003·Proceedings of the Royal Society of London. Series B: Biological Sciences

Abstract

I propose that global patterns in numbers of range-restricted endemic species are caused by variation in the amplitude of climatic change occurring on time-scales of 10-100 thousand years (Milankovitch oscillations). The smaller the climatic shifts, the more probable it is that palaeoendemics survive and that diverging gene pools persist without going extinct or merging, favouring the evolution of neoendemics. Using the change in mean annual temperature since the last glacial maximum, estimated from global circulation models, I show that the higher the temperature change in an area, the fewer endemic species of mammals, birds, reptiles, amphibians and vascular plants it harbours. This relationship was robust to variation in area (for areas greater than 10(4) km2), latitudinal position, extent of former glaciation and whether or not areas are oceanic islands. Past climatic change was a better predictor of endemism than annual temperature range in all phylads except amphibians, suggesting that Rapoport's rule (i.e. species range sizes increase with latitude) is best explained by the increase in the amplitude of climatic oscillations towards the poles. Globally, endemic-rich areas are predicted to warm less in response to greenhouse-gas emissions, but the predicted warming would cause many habitats to disappear regionally, leading to species extinctions.

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Metadata

Authors
Jansson, R.
Venue
Proceedings of the Royal Society of London. Series B: Biological Sciences
Published
2003-03-22
Volume
270
Issue
1515
Pages
583-590
ISSN
  • 0080-4649 (ISSN-L)
  • 0962-8452
  • 1471-2954
OpenAlex
W2140336637
Cited by
374
References
3
FWCI
5.45
Type
journal article
Language
en
Open access
green

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Jansson, R. (2003). Global patterns in endemism explained by past climatic change. Proceedings of the Royal Society of London. Series B: Biological Sciences. https://doi.org/10.1098/rspb.2002.2283

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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