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Planning tree species diversification in Kenya based on differences in tree species composition between farms, I: analysis of tree uses

Roeland Kindt, Patrick Van Damme UGent, AJ Simons and Hans Beeckman (2006) AGROFORESTRY SYSTEMS. 67(3). p.215-228
abstract
Concerns exist about the limited diversity of tree species in agricultural landscapes. Complete tree inventories were carried out on 201 farms from four villages in western Kenya to establish whether significant differences in tree species composition existed between farms, and if so their magnitude and implications for new introductions and plantings. Tree species composition was interpreted to encompass elements of both tree identity and abundance. Tree identity was viewed from both taxonomic and function (e.g. fruit, timber, medicine) perspectives. Novel types of ordination using the Hellinger ecological distance and polynomial Redundancy Analysis indicated wide heterogeneity between farms with respect to tree species composition. For the 12 most prevalent functions of trees, the analyses showed significant differences (p < 0.05). Partitioning of variance identified that village location explained much of the differences between farms suggesting that farmers share tree species within villages more than between villages. Differences between farms were assessed on two-dimensional ordination graphs. For five important tree functions, including beverage, charcoal, construction, fodder and medicine, two species dominated the compositional differences. For these functions, diversification can be achieved by village-to-village sharing even in the absence of any new species introductions. A general process to determine the degree of tree diversity at farm and landscape levels and steps to increase it are discussed.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
PRODUCTIVITY, STRATEGIES, ORDINATION, Hellinger distance, diversification, ordination, landscape, redundancy analysis, species composition, TROPICAL AGROFORESTRY, GENETIC DIVERSITY, CONSERVATION, BIODIVERSITY, REGRESSION
journal title
AGROFORESTRY SYSTEMS
Agrofor. Syst.
volume
67
issue
3
pages
215 - 228
Web of Science type
Article
Web of Science id
000240076100002
JCR category
FORESTRY
JCR impact factor
0.921 (2006)
JCR rank
14/35 (2006)
JCR quartile
2 (2006)
ISSN
0167-4366
DOI
10.1007/s10457-005-1703-2
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
758431
handle
http://hdl.handle.net/1854/LU-758431
date created
2009-09-25 11:09:55
date last changed
2009-09-25 11:22:52
@article{758431,
  abstract     = {Concerns exist about the limited diversity of tree species in agricultural landscapes. Complete tree inventories were carried out on 201 farms from four villages in western Kenya to establish whether significant differences in tree species composition existed between farms, and if so their magnitude and implications for new introductions and plantings. Tree species composition was interpreted to encompass elements of both tree identity and abundance. Tree identity was viewed from both taxonomic and function (e.g. fruit, timber, medicine) perspectives. Novel types of ordination using the Hellinger ecological distance and polynomial Redundancy Analysis indicated wide heterogeneity between farms with respect to tree species composition. For the 12 most prevalent functions of trees, the analyses showed significant differences (p {\textlangle} 0.05). Partitioning of variance identified that village location explained much of the differences between farms suggesting that farmers share tree species within villages more than between villages. Differences between farms were assessed on two-dimensional ordination graphs. For five important tree functions, including beverage, charcoal, construction, fodder and medicine, two species dominated the compositional differences. For these functions, diversification can be achieved by village-to-village sharing even in the absence of any new species introductions. A general process to determine the degree of tree diversity at farm and landscape levels and steps to increase it are discussed.},
  author       = {Kindt, Roeland and Van Damme, Patrick and Simons, AJ and Beeckman, Hans},
  issn         = {0167-4366},
  journal      = {AGROFORESTRY SYSTEMS},
  keyword      = {PRODUCTIVITY,STRATEGIES,ORDINATION,Hellinger distance,diversification,ordination,landscape,redundancy analysis,species composition,TROPICAL AGROFORESTRY,GENETIC DIVERSITY,CONSERVATION,BIODIVERSITY,REGRESSION},
  language     = {eng},
  number       = {3},
  pages        = {215--228},
  title        = {Planning tree species diversification in Kenya based on differences in tree species composition between farms, I: analysis of tree uses},
  url          = {http://dx.doi.org/10.1007/s10457-005-1703-2},
  volume       = {67},
  year         = {2006},
}

Chicago
Kindt, Roeland, Patrick Van Damme, AJ Simons, and Hans Beeckman. 2006. “Planning Tree Species Diversification in Kenya Based on Differences in Tree Species Composition Between Farms, I: Analysis of Tree Uses.” Agroforestry Systems 67 (3): 215–228.
APA
Kindt, Roeland, Van Damme, P., Simons, A., & Beeckman, H. (2006). Planning tree species diversification in Kenya based on differences in tree species composition between farms, I: analysis of tree uses. AGROFORESTRY SYSTEMS, 67(3), 215–228.
Vancouver
1.
Kindt R, Van Damme P, Simons A, Beeckman H. Planning tree species diversification in Kenya based on differences in tree species composition between farms, I: analysis of tree uses. AGROFORESTRY SYSTEMS. 2006;67(3):215–28.
MLA
Kindt, Roeland, Patrick Van Damme, AJ Simons, et al. “Planning Tree Species Diversification in Kenya Based on Differences in Tree Species Composition Between Farms, I: Analysis of Tree Uses.” AGROFORESTRY SYSTEMS 67.3 (2006): 215–228. Print.