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Delimiting tropical mountain ecoregions for conservation

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Standard

Delimiting tropical mountain ecoregions for conservation. / Platts, Philip J.; Burgess, Neil David; Gereau, Roy E.; Lovett, Jon C.; Marshall, Andrew R.; McClean, Colin J.; Pellikka, Petri K. E.; Swetnam, Ruth D.; Marchant, Rob.

I: Environmental Conservation, Bind 38, Nr. 3, 2011, s. 312-324.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Platts, PJ, Burgess, ND, Gereau, RE, Lovett, JC, Marshall, AR, McClean, CJ, Pellikka, PKE, Swetnam, RD & Marchant, R 2011, 'Delimiting tropical mountain ecoregions for conservation', Environmental Conservation, bind 38, nr. 3, s. 312-324. https://doi.org/10.1017/S0376892911000191

APA

Platts, P. J., Burgess, N. D., Gereau, R. E., Lovett, J. C., Marshall, A. R., McClean, C. J., ... Marchant, R. (2011). Delimiting tropical mountain ecoregions for conservation. Environmental Conservation, 38(3), 312-324. https://doi.org/10.1017/S0376892911000191

Vancouver

Platts PJ, Burgess ND, Gereau RE, Lovett JC, Marshall AR, McClean CJ o.a. Delimiting tropical mountain ecoregions for conservation. Environmental Conservation. 2011;38(3):312-324. https://doi.org/10.1017/S0376892911000191

Author

Platts, Philip J. ; Burgess, Neil David ; Gereau, Roy E. ; Lovett, Jon C. ; Marshall, Andrew R. ; McClean, Colin J. ; Pellikka, Petri K. E. ; Swetnam, Ruth D. ; Marchant, Rob. / Delimiting tropical mountain ecoregions for conservation. I: Environmental Conservation. 2011 ; Bind 38, Nr. 3. s. 312-324.

Bibtex

@article{32e3bcd827f348d593488a2e8e6211a5,
title = "Delimiting tropical mountain ecoregions for conservation",
abstract = "Ecological regions aggregate habitats with similar biophysical characteristics within well-defined boundaries, providing spatially consistent platforms for monitoring, managing and forecasting the health of interrelated ecosystems. A major obstacle to the implementation of this approach is imprecise and inconsistent boundary placement. For globally important mountain regions such as the Eastern Arc (Tanzania and Kenya), where qualitative definitions of biophysical affinity are well established, rule-based methods for landform classification provide a straightforward solution to ambiguities in region extent. The method presented in this paper encompasses the majority of both contemporary and estimated preclearance forest cover within strict topographical limits. Many of the species here tentatively considered ‘near-endemic’ could be reclassified as strictly endemic according to the derived boundaries. LandScan and census data show population density inside the ecoregion to be higher than in rural lowlands, and lowland settlement to be most probable within 30 km. This definition should help to align landscape scale conservation strategies in the Eastern Arc and promote new research in areas of predicted, but as yet undocumented, biological importance. Similar methods could work well in other regions where mountain extent is poorly resolved. Spatial data accompany the online version of this article.",
author = "Platts, {Philip J.} and Burgess, {Neil David} and Gereau, {Roy E.} and Lovett, {Jon C.} and Marshall, {Andrew R.} and McClean, {Colin J.} and Pellikka, {Petri K. E.} and Swetnam, {Ruth D.} and Rob Marchant",
year = "2011",
doi = "10.1017/S0376892911000191",
language = "English",
volume = "38",
pages = "312--324",
journal = "Environmental Conservation",
issn = "0376-8929",
publisher = "Cambridge University Press",
number = "3",

}

RIS

TY - JOUR

T1 - Delimiting tropical mountain ecoregions for conservation

AU - Platts, Philip J.

AU - Burgess, Neil David

AU - Gereau, Roy E.

AU - Lovett, Jon C.

AU - Marshall, Andrew R.

AU - McClean, Colin J.

AU - Pellikka, Petri K. E.

AU - Swetnam, Ruth D.

AU - Marchant, Rob

PY - 2011

Y1 - 2011

N2 - Ecological regions aggregate habitats with similar biophysical characteristics within well-defined boundaries, providing spatially consistent platforms for monitoring, managing and forecasting the health of interrelated ecosystems. A major obstacle to the implementation of this approach is imprecise and inconsistent boundary placement. For globally important mountain regions such as the Eastern Arc (Tanzania and Kenya), where qualitative definitions of biophysical affinity are well established, rule-based methods for landform classification provide a straightforward solution to ambiguities in region extent. The method presented in this paper encompasses the majority of both contemporary and estimated preclearance forest cover within strict topographical limits. Many of the species here tentatively considered ‘near-endemic’ could be reclassified as strictly endemic according to the derived boundaries. LandScan and census data show population density inside the ecoregion to be higher than in rural lowlands, and lowland settlement to be most probable within 30 km. This definition should help to align landscape scale conservation strategies in the Eastern Arc and promote new research in areas of predicted, but as yet undocumented, biological importance. Similar methods could work well in other regions where mountain extent is poorly resolved. Spatial data accompany the online version of this article.

AB - Ecological regions aggregate habitats with similar biophysical characteristics within well-defined boundaries, providing spatially consistent platforms for monitoring, managing and forecasting the health of interrelated ecosystems. A major obstacle to the implementation of this approach is imprecise and inconsistent boundary placement. For globally important mountain regions such as the Eastern Arc (Tanzania and Kenya), where qualitative definitions of biophysical affinity are well established, rule-based methods for landform classification provide a straightforward solution to ambiguities in region extent. The method presented in this paper encompasses the majority of both contemporary and estimated preclearance forest cover within strict topographical limits. Many of the species here tentatively considered ‘near-endemic’ could be reclassified as strictly endemic according to the derived boundaries. LandScan and census data show population density inside the ecoregion to be higher than in rural lowlands, and lowland settlement to be most probable within 30 km. This definition should help to align landscape scale conservation strategies in the Eastern Arc and promote new research in areas of predicted, but as yet undocumented, biological importance. Similar methods could work well in other regions where mountain extent is poorly resolved. Spatial data accompany the online version of this article.

U2 - 10.1017/S0376892911000191

DO - 10.1017/S0376892911000191

M3 - Journal article

VL - 38

SP - 312

EP - 324

JO - Environmental Conservation

JF - Environmental Conservation

SN - 0376-8929

IS - 3

ER -

ID: 40360996