Patterns of Mammalian Species Richness in Relation to Temperature, Productivity, and Variance in Elevation

Owen, James G.

doi:10.2307/1381311

Cited by 64 publications

(52 citation statements)

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“…On the other hand, PEARSON & RALPH (1978) expect a negative correlation between altitude and abundance of birds on the Amazonian side of the Andes, where vegetation becomes more complex with decreasing altitude. The positive correlation of mammalian species richness with increasing elevation reported by OWEN (1990), was a function of the increasing number of habitat types at higher altitudes. The altitudinal gradient surveyed in the Philippines by HEANEY et al (1989) ran through different forest types, from lowland prime forest to mossy montane forest with an open canopy, all sites supporting more or less similar species numbers.…”

Section: Comparison With Elevational Zonations On Other Mountainsmentioning

confidence: 84%

“…For example no detectable change in species richness has been documented for the Kammanassie Mts in South Africa (NEL et al 1980), for the Cape Mts in South Africa (BOND et al 1980), for montane habitats in Malawi (HAPPOLD & HAPPOLD 1992), for the Philippines (HEANEY et al 1989) and in this study. An increase of species richness with increasing altitude was evident for the Bale Mts in Ethiopia (YALDEN 1988, SILLERO-ZUBIRI et al 1995, the western slopes of the Andes (PEARSON & RALPH 1978) and in Texas (OWEN 1990). The opposite trend, a decrease of species richness with increasing altitude has been reported for the Drakensberg Mts in South Africa (ROWE-ROWE & LOWRY 1982, ROWE-ROWE & MEESTER 1982, for Mt Kulal in North Kenya (MARTIN 1986), and for the Ruwenzori Mts (MISONNE 1963).…”

Section: Comparison With Elevational Zonations On Other Mountainsmentioning

confidence: 93%

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Altitudinal distribution of rodents (Muridae and Gliridae) on Mt Elgon, Uganda

Clausnitzer

Kityo

2001

Tropical Zoology

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Small mammals were surveyed along a transect in Mt Elgon National Park, Uganda, at altitudes from 2900 to 4300 m a.s.l., with the main focus in the Afroalpine grasslands above 3500 m a.s.l. In this study, 13 species belonging to the Muridae were recorded, but only one species Lophuromys flavopunctatus Thomas 1888, occurred in all habitats. The highest species and individual numbers were found in richly structured vegetation in the Afro-alpine zone. Twenty-four species of Muridae and one Gliridae have been recorded from the Mt Elgon NP, Uganda (> 2000 m a.s.l.) so far, two more have been found on the Kenyan side and are likely to occur in Uganda. A total of 34 species of Muridae have been recorded on the whole range of Mt Elgon, two being endemic to the Afro-alpine zone, one listed as vulnerable and one as rare by the IUCN (LIDICKER 1985).The present distribution patterns and composition of the montane rodent communities are a result of different evolutionary histories mainly brought about by past changes in climate and vegetation. A number of montane rodents in Africa are relict forms, which declined due to habitat changes and competition from invading "modern" species.

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Section: Comparison With Elevational Zonations On Other Mountainsmentioning

confidence: 84%

Section: Comparison With Elevational Zonations On Other Mountainsmentioning

confidence: 93%

Altitudinal distribution of rodents (Muridae and Gliridae) on Mt Elgon, Uganda

Clausnitzer

Kityo

2001

Tropical Zoology

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“…3a). This indicates that the highest net primary productivity results in lower mammal species richness (7,8). However, when the sample of grid cell (10 10 km) with the highest number of species in every district was selected for the correlation analysis, rather than the entire population [25], the relation between interannual average NDVI and mammal species richness becomes a positive straight line (Fig.…”

Section: Resultsmentioning

confidence: 99%

“…In regional biodiversity studies, productivity is usually calculated from weather station records collected at scattered (and often biased) sampling points-these points are extrapolated in order to characterize productivity over a large region [7,8]. Such climate-based models assume that the vegetation cover is 'natural', and ipso facto is under the control of climate [9].…”

Section: Introductionmentioning

confidence: 99%

“…This is due to the fact that areas with predictable and stable climates may permit a more constant influx of resources and the evolution of greater specialization of niches [2]. By contrast, the exploitation of areas with unstable climate may require evolution of broad tolerances to deal with a wide range of environmental conditions [7]. This should lead to decrease in the number of species as the amplitude of periodic climatic fluctuations increases [2].…”

Section: Introductionmentioning

confidence: 99%

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Predicting Mammal Species Richness from Remotely Sensed Data at Different Spatial Scales

Oindo¹

2008

TORMSJ

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Spatial variability in species richness has been postulated to depend upon environmental factors such as climatic variability, Net primary productivity and habitat heterogeneity. The Advanced Very High Resolution Radiometer (AVHRR)-Normalized Difference Vegetation Index (NDVI) has been shown to be correlated with climatic variability, Net primary productivity and habitat heterogeneity. Moreover, Landsat Thematic Mapper (TM) derived habitat diversity indices have been used to reflect habitat heterogeneity. Interannually average NDVI and its variability (standard deviation and coefficient of variation) as well as Landsat Thematic Mapper derived habitat diversity index were correlated with mammal species richness at landscape scale. Species richness related unimodally to interannual average NDVI and positively to variability of NDVI and habitat diversity index. Conversely, at regional scale mammal species richness were correlated with interannually average NDVI and coefficient of variation of NDVI. Species richness related negatively to the latter and positively to interannually average NDVI. Though these relationships are indirect, they apparently operate through the green vegetation cover. Understanding such relationships can help in estimating changes in species richness in response to global climatic change.

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References

2000

Pattern and Process in Macroecology

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Patterns of Mammalian Species Richness in Relation to Temperature, Productivity, and Variance in Elevation

Cited by 64 publications

References 0 publications

Altitudinal distribution of rodents (Muridae and Gliridae) on Mt Elgon, Uganda

Altitudinal distribution of rodents (Muridae and Gliridae) on Mt Elgon, Uganda

Predicting Mammal Species Richness from Remotely Sensed Data at Different Spatial Scales

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