The DOI matches its Crossref record.
On Bird Species Diversity
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The relationship between heterogeneity and species diversity is founded in niche theory, which suggests that heterogeneous areas provide more ecological niches for different species to co-exist.
“The relationship between heterogeneity and species diversity is founded in niche theory50,51, which suggests that heterogeneous areas provide more ecological niches for different species to co-exist.”
From A high-resolution canopy height model of the Earth (2023) · cites this paper as [50]
The high spatial resolution of the canopy height model brings about the possibility to characterize habitat structure and vegetation heterogeneity.
“A second line of potential applications includes biodiversity modelling as the high spatial resolution of the canopy height model brings about the possibility to characterize habitat structure and vegetation heterogeneity, known to promote a number of ecosystem services49 and to be predictive of biodiversity50,51.”
From A high-resolution canopy height model of the Earth (2023) · cites this paper as [50]
Vegetation heterogeneity is known to promote a number of ecosystem services and to be predictive of biodiversity.
“known to promote a number of ecosystem services49 and to be predictive of biodiversity50,51.”
From A high-resolution canopy height model of the Earth (2023) · cites this paper as [50]
Citations
Cited by
Sorted by citations
A General Hypothesis of Species Diversity
Huston, M. (1979) · The American Naturalist · doi:10.1086/283366 · Cited by 3,390
Soundscape Ecology: The Science of Sound in the Landscape
Pijanowski, B. C., Villanueva-Rivera, L. J., Dumyahn, S. L., Farina, A., Krause, B. L., Napoletano, B. M., Gage, S. H., & Pieretti, N. (2011) · BioScience · doi:10.1525/bio.2011.61.3.6 · Cited by 1,334
A high-resolution canopy height model of the Earth
Lang, N., Jetz, W., Schindler, K., & Wegner, J. D. (2023) · Nature Ecology & Evolution · doi:10.1038/s41559-023-02206-6 · Cited by 810
Lidar: shedding new light on habitat characterization and modeling
Vierling, K. T., Vierling, L. A., Gould, W. A., Martinuzzi, S., & Clawges, R. M. (2008) · Frontiers in Ecology and the Environment · doi:10.1890/070001 · Cited by 527
Advances in animal ecology from 3D-LiDAR ecosystem mapping
Davies, A. B., & Asner, G. P. (2014) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2014.10.005 · Cited by 379
Large-scale impacts of herbivores on the structural diversity of African savannas
Asner, G. P., Levick, S. R., Kennedy-Bowdoin, T., Knapp, D. E., Emerson, R., Jacobson, J., Colgan, M. S., & Martin, R. E. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0810637106 · Cited by 309
Towards an understanding of the evolutionary role of fire in animals
Pausas, J. G., & Parr, C. L. (2018) · Evolutionary Ecology · doi:10.1007/s10682-018-9927-6 · Cited by 267
Fabricius, K. E., De'ath, G., Noonan, S., & Uthicke, S. (2014) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2013.2479 · Cited by 237
Sixty Years of Change in Californian Conifer Forests of the San Bernardino Mountains
Minnich, R. A., Barbour, M. G., Burk, J. H., & Fernau, R. F. (1995) · Conservation Biology · doi:10.1046/j.1523-1739.1995.09040902.x · Cited by 190
Cascading biodiversity and functional consequences of a global change–induced biome switch
Parr, C. L., Gray, E. F., & Bond, W. J. (2012) · Diversity and Distributions · doi:10.1111/j.1472-4642.2012.00882.x · Cited by 126
From field surveys to LiDAR: Shining a light on how bats respond to forest structure
Froidevaux, J. S. P., Zellweger, F., Bollmann, K., Jones, G., & Obrist, M. K. (2016) · Remote Sensing of Environment · doi:10.1016/j.rse.2015.12.038 · Cited by 110
Four decades of plant community change in the Alpine tundra of southwest Yukon, Canada
Danby, R. K., Koh, S., Hik, D. S., & Price, L. W. (2011) · AMBIO · doi:10.1007/s13280-011-0172-2 · Cited by 45
Acoustic indices applied to biodiversity monitoring in a Costa Rica dry tropical forest
Retamosa Izaguirre, M. I., & Ramírez-Alán, O. (2018) · Journal of Ecoacoustics · doi:10.22261/jea.tnw2np · Cited by 45
Songbird response to increased willow (Salix spp.) growth in Yellowstone's northern range
Baril, L. M., Hansen, A. J., Renkin, R., & Lawrence, R. (2011) · Ecological Applications · doi:10.1890/10-0169.1 · Cited by 40
Large river habitat complexity and productivity of Puget Sound Chinook salmon
Hall, J. E., Greene, C. M., Stefankiv, O., Anderson, J. H., Timpane-Padgham, B., Beechie, T. J., & Pess, G. R. (2018) · PLOS ONE · doi:10.1371/journal.pone.0205127 · Cited by 33
Metadata
- Authors
- MacArthur, R. H., & MacArthur, J. W.
- Venue
- Ecology
- Publisher
- Wiley
- Published
- 1961-07
- Volume
- 42
- Issue
- 3
- Pages
- 594-598
- ISSN
- 0012-9658
- Cited by
- 2,528
- References
- 0
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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