Genetic patterns in forest antelope populations in the Udzungwa Mountains, Tanzania, as inferred from non-invasive sampling

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Genetic patterns in forest antelope populations in the Udzungwa Mountains, Tanzania, as inferred from non-invasive sampling. / Bowkett, Andrew E. ; Jones, Trevor; Rovero, Francesco; Nielsen, Martin Reinhardt; Plowman, Amy B.; Stevens, Jamie R.

In: Journal of East Africa Natural History, Vol. 104, No. 1-2, 2015, p. 91-125.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Bowkett, AE, Jones, T, Rovero, F, Nielsen, MR, Plowman, AB & Stevens, JR 2015, 'Genetic patterns in forest antelope populations in the Udzungwa Mountains, Tanzania, as inferred from non-invasive sampling', Journal of East Africa Natural History, vol. 104, no. 1-2, pp. 91-125. https://doi.org/10.2982/028.104.0109

APA

Bowkett, A. E., Jones, T., Rovero, F., Nielsen, M. R., Plowman, A. B., & Stevens, J. R. (2015). Genetic patterns in forest antelope populations in the Udzungwa Mountains, Tanzania, as inferred from non-invasive sampling. Journal of East Africa Natural History, 104(1-2), 91-125. https://doi.org/10.2982/028.104.0109

Vancouver

Bowkett AE, Jones T, Rovero F, Nielsen MR, Plowman AB, Stevens JR. Genetic patterns in forest antelope populations in the Udzungwa Mountains, Tanzania, as inferred from non-invasive sampling. Journal of East Africa Natural History. 2015;104(1-2):91-125. https://doi.org/10.2982/028.104.0109

Author

Bowkett, Andrew E. ; Jones, Trevor ; Rovero, Francesco ; Nielsen, Martin Reinhardt ; Plowman, Amy B. ; Stevens, Jamie R. / Genetic patterns in forest antelope populations in the Udzungwa Mountains, Tanzania, as inferred from non-invasive sampling. In: Journal of East Africa Natural History. 2015 ; Vol. 104, No. 1-2. pp. 91-125.

Bibtex

@article{29ad6658678442d8a45425caa7eae006,
title = "Genetic patterns in forest antelope populations in the Udzungwa Mountains, Tanzania, as inferred from non-invasive sampling",
abstract = "As for many tropical regions, the evolutionary and demographic status of antelope populations in the Udzungwa Mountains, Tanzania, are poorly resolved. We employed genetic information from 618 faecal samples to assess the status of forest antelope species in terms of their distribution, intraspecific diversity and population subdivision within the Udzungwa landscape. Most species were detected in the majority of forest fragments, except for Philantomba monticola. Phylogenetic analyses were consistent with traditional taxonomy with the exception of Cephalophus harveyi which was paraphyletic with respect to C. natalensis. There was strong support for three C. harveyi mtDNA clades within the Udzungwa Mountains although nuclear genetic variation did not partition strongly with these maternal lineages. Significant partitioning of genetic variation between sampling areas was detected for all species except the endangered C. spadix. Overall, our results demonstrate the value of non-invasive genetic sampling in studying the distribution and evolution of rarely observed species.",
author = "Bowkett, {Andrew E.} and Trevor Jones and Francesco Rovero and Nielsen, {Martin Reinhardt} and Plowman, {Amy B.} and Stevens, {Jamie R.}",
year = "2015",
doi = "10.2982/028.104.0109",
language = "English",
volume = "104",
pages = "91--125",
journal = "Journal of East Africa Natural History",
issn = "1026-1613",
publisher = "East Africa Natural History Society",
number = "1-2",

}

RIS

TY - JOUR

T1 - Genetic patterns in forest antelope populations in the Udzungwa Mountains, Tanzania, as inferred from non-invasive sampling

AU - Bowkett, Andrew E.

AU - Jones, Trevor

AU - Rovero, Francesco

AU - Nielsen, Martin Reinhardt

AU - Plowman, Amy B.

AU - Stevens, Jamie R.

PY - 2015

Y1 - 2015

N2 - As for many tropical regions, the evolutionary and demographic status of antelope populations in the Udzungwa Mountains, Tanzania, are poorly resolved. We employed genetic information from 618 faecal samples to assess the status of forest antelope species in terms of their distribution, intraspecific diversity and population subdivision within the Udzungwa landscape. Most species were detected in the majority of forest fragments, except for Philantomba monticola. Phylogenetic analyses were consistent with traditional taxonomy with the exception of Cephalophus harveyi which was paraphyletic with respect to C. natalensis. There was strong support for three C. harveyi mtDNA clades within the Udzungwa Mountains although nuclear genetic variation did not partition strongly with these maternal lineages. Significant partitioning of genetic variation between sampling areas was detected for all species except the endangered C. spadix. Overall, our results demonstrate the value of non-invasive genetic sampling in studying the distribution and evolution of rarely observed species.

AB - As for many tropical regions, the evolutionary and demographic status of antelope populations in the Udzungwa Mountains, Tanzania, are poorly resolved. We employed genetic information from 618 faecal samples to assess the status of forest antelope species in terms of their distribution, intraspecific diversity and population subdivision within the Udzungwa landscape. Most species were detected in the majority of forest fragments, except for Philantomba monticola. Phylogenetic analyses were consistent with traditional taxonomy with the exception of Cephalophus harveyi which was paraphyletic with respect to C. natalensis. There was strong support for three C. harveyi mtDNA clades within the Udzungwa Mountains although nuclear genetic variation did not partition strongly with these maternal lineages. Significant partitioning of genetic variation between sampling areas was detected for all species except the endangered C. spadix. Overall, our results demonstrate the value of non-invasive genetic sampling in studying the distribution and evolution of rarely observed species.

U2 - 10.2982/028.104.0109

DO - 10.2982/028.104.0109

M3 - Journal article

VL - 104

SP - 91

EP - 125

JO - Journal of East Africa Natural History

JF - Journal of East Africa Natural History

SN - 1026-1613

IS - 1-2

ER -

ID: 174831810