Literature DB >> 17839658

Holocene vegetation in chaco canyon, new Mexico.

J L Betancourt, T R VAN Devender.   

Abstract

Well-preserved plant remains in packrat middens chronicle vegetation change in Chaco Canyon over the past 11,000 years. Early Holocene evidence of communities dominated by Douglas fir, Rocky Mountain juniper, and limber pine in the San Juan Basin calls for revision of traditional constructs based on fossil pollen. Middle and late Holocene vegetation in the canyon was pinyon-juniper woodland up until Anasazi occupation between 1000 and 800 years ago. Instead of climate, Anasazi fuel needs may explain the drastic reduction of pinyon and juniper after 1230 years ago. The lack of pinyon-juniper recovery over the past millennium has implications for contemporary forest and range ecology.

Entities:  

Year:  1981        PMID: 17839658     DOI: 10.1126/science.214.4521.656

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  5 in total

1.  Strontium isotopes reveal distant sources of architectural timber in Chaco Canyon, New Mexico.

Authors:  N B English; J L Betancourt; J S Dean; J Quade
Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-25       Impact factor: 11.205

2.  Eleventh-century shift in timber procurement areas for the great houses of Chaco Canyon.

Authors:  Christopher H Guiterman; Thomas W Swetnam; Jeffrey S Dean
Journal:  Proc Natl Acad Sci U S A       Date:  2015-12-07       Impact factor: 11.205

3.  Ancestral semiochemical attraction persists for adjoining populations of siblingIps bark beetles (Coleoptera: Scolytidae).

Authors:  J H Cane; D L Wood; J W Fox
Journal:  J Chem Ecol       Date:  1990-04       Impact factor: 2.626

4.  Prehistoric deforestation at Chaco Canyon?

Authors:  W H Wills; Brandon L Drake; Wetherbee B Dorshow
Journal:  Proc Natl Acad Sci U S A       Date:  2014-07-28       Impact factor: 11.205

5.  Strontium isotopes and the reconstruction of the Chaco regional system: evaluating uncertainty with Bayesian mixing models.

Authors:  Brandon Lee Drake; Wirt H Wills; Marian I Hamilton; Wetherbee Dorshow
Journal:  PLoS One       Date:  2014-05-22       Impact factor: 3.240

  5 in total

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