Community assembly, functional traits, and phylogeny in Himalayan river birds
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Abstract
Heterogeneity in riverine habitats acts as a template for species evolution that influences river communities at different spatio‐temporal scales. Although birds are conspicuous elements of these communities, the roles of phylogeny, functional traits, and habitat character in their niche use or species' assembly have seldom been investigated. We explored these themes by surveying multiple headwaters over 3000 m of elevation in the Himalayan Mountains of India where the specialist birds of montane rivers reach their greatest diversity on Earth. After ordinating community composition, species traits, and habitat character, we investigated whether river bird traits varied with elevation in ways that were constrained or independent of phylogeny, hypothesizing that trait patterns reflect environmental filtering. Community composition and trait representation varied strongly with increasing elevation and river naturalness as species that foraged in the river/riparian ecotone gave way to small insectivores with direct trophic dependence on the river or its immediate channel. These trends were influenced strongly by phylogeny as communities became more clustered by functional traits at a higher elevation. Phylogenetic signals varied among traits, however, and were reflected in body mass, bill size, and tarsus length more than in body size, tail length, and breeding strategy. These variations imply that community assembly in high‐altitude river birds reflects a blend of phylogenetic constraint and habitat filtering coupled with some proximate niche‐based moulding of trait character. We suggest that the regional co‐existence of river birds in the Himalaya is facilitated by this same array of factors that together reflect the highly heterogeneous template of river habitats provided by these mountain headwaters.
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“Ideally, investigations aimed at understanding communities should blend field observations with some assessment of the functional and phylogenetic identities of the component species (McGill et al., 2006; Winemiller et al., 2015; Xu et al., 2017).”
BackgroundLinking habitat specialization with species' traits in European birds
Reif, J., Hořák, D., Krištín, A., Kopsova, L., & Devictor, V. (2016) · Oikos · doi:10.1111/oik.02276 · Cited by 78 · see citing works
Hanz, D., Böhning-Gaese, K., Ferger, S. W., Fritz, S., Neuschulz, E., Quitián, M., Santillán, V., Töpfer, T., & Schleuning, M. (2018) · Journal of Biogeography · doi:10.1111/jbi.13489 · Cited by 76 · see citing works
Ormerod, S., & Tyler, S. (1991) · doi:10.1111/j.1365-2427.1991.tb00477.x · Cited by 75 · cited 3×
“The table gives Blomberg’s K values with significance values (in parentheses) handling (Ormerod & Tyler, 1991).”
BackgroundSelf-citationRiparian Bird Communities as Indicators of Human Impacts Along Mediterranean Streams
Larsen, S., Sorace, A., & Mancini, L. (2010) · Environmental Management · doi:10.1007/s00267-009-9419-0 · Cited by 70 · cited 1×
“First, at a global level, the association between overall bird richness and habitat heterogeneity is a well- known phenomenon, especially for species that are specialized for particular habitat types— in this case, high- energy rivers (Larsen et al., 2010; Robinson et al., 2002).”
BackgroundVollstädt, M. G. R., Ferger, S. W., Hemp, A., Howell, K. M., Töpfer, T., Böhning‐Gaese, K., & Schleuning, M. (2017) · Global Ecology and Biogeography · doi:10.1111/geb.12606 · Cited by 65 · cited 1× · see citing works
“These patterns are consistent with the hypothesis that altitudinal trends affect these communities through environmental filtering (Dehling et al., 2014; Hanz et al., 2019; Vollstädt et al., 2017).”
ResultGlobal patterns of diversity among the specialist birds of riverine landscapes
Buckton, S., & Ormerod, S. (2002) · doi:10.1046/j.1365-2427.2002.00891.x · Cited by 64 · cited 5×
“Bird species that depend on aquatic production and occupy the riparian zone of Himalayan rivers were known from reconnaissance surveys and previous studies (Buckton & Ormerod, 2002; Manel et al., 2000).”
BackgroundInfluentialSelf-citationDing, Y., Zang, R.-G., Lu, X.-H., Huang, J.-H., & Xu, Y. (2019) · Journal of Vegetation Science · doi:10.1111/jvs.12786 · Cited by 53 · cited 1×
“…ecosystems, for example, competition, trait expression, and environmental filtering along elevational gradients can have marked effects on bird communities (Chiu et al., 2020; Dehling et al., 2014; Ding et al., 2019; He et al., 2018; Machac et al., 2011; McCain, 2009; Ulrich et al., 2018).”
BackgroundMeasuring avian specialization
Morelli, F., Benedetti, Y., Møller, A., & Fuller, R. A. (2019) · Ecology and Evolution · doi:10.1002/ece3.5419 · Cited by 48 · cited 1×
“We suggest that community assembly in high- altitude river birds must therefore reflect a blend of phylogenetic constraint and habitat filtering coupled with some proximate niche- based selection of trait character for specialization (Morelli et al., 2019; Reif et al., 2016).”
BackgroundFish assemblage convergence along stream environmental gradients: an intercontinental analysis
Bower, L. M., & Winemiller, K. (2019) · Ecography · doi:10.1111/ecog.04690 · Cited by 45 · cited 1×
“…connectivity, and impair water quality, and across the world, these processes are contributing to the decline or elimination of specialist organisms and population reductions that are among the fastest of any global ecosystem (Bower & Winemiller, 2019; Evans et al., 2018; Tickner et al., 2020).”
BackgroundZhang, Q., Holyoak, M., Chen, C.-W., Liu, Z.-F., Liu, J., Che, X., Dong, A., Yang, C., & Zou, F.-S. (2019) · Journal of Biogeography · doi:10.1111/jbi.13738 · Cited by 43 · see citing works
Zhao, Y.-H., Dunn, R., Zhou, H., Si, X., & Ding, P. (2020) · Journal of Biogeography · doi:10.1111/jbi.13860 · Cited by 40 · cited 1×
“Furthermore, functional approaches fail to account for within- species variations across populations while the phylogenetic approach can inflate signals related to certain traits (Zhao et al., 2020).”
BackgroundEmergent dual scaling of riverine biodiversity
Terui, A., Kim, S., Dolph, C. L., Kadoya, T., & Miyazaki, Y. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2105574118 · Cited by 38 · cited 1× · see citing works
“In part, this interest reflects the pronounced environmental gradients represented by rivers both longitudinally and among contrasting river basins that together have created a diverse habitat template into which species have proliferated (Terui et al., 2021; Townsend & Hildrew, 1994).”
BackgroundUlrich, W., Banks-Leite, C., de Coster, G., Habel, J., Matheve, H., Newmark, W., Tobias, J., & Lens, L. (2018) · doi:10.1111/oik.04561 · Cited by 32
Elevation shapes biodiversity patterns through metacommunity-structuring processes.
Chiu, M.-C., Ao, S.-C., He, F.-Z., Resh, V., & Cai, Q. (2020) · Science of the Total Environment · doi:10.1016/j.scitotenv.2020.140548 · Cited by 30 · cited 1×
“…ecosystems, for example, competition, trait expression, and environmental filtering along elevational gradients can have marked effects on bird communities (Chiu et al., 2020; Dehling et al., 2014; Ding et al., 2019; He et al., 2018; Machac et al., 2011; McCain, 2009; Ulrich et al., 2018).”
BackgroundSinha, A., Chatterjee, N. D., Ormerod, S., Adhikari, B., & Krishnamurthy, R. (2019) · Ecosystems and People · doi:10.1080/26395916.2019.1591508 · Cited by 28 · cited 5×
“Moreover, despite being conspicuous components of the global riverine fauna, river birds have been neglected in fundamental studies of mechanisms structuring communities, especially in mountainous areas (Manel et al., 2000; Sinha et al., 2019).”
BackgroundMethodInfluentialSelf-citationHe, X.-L., Luo, K., Brown, C., & Lin, L.-X. (2018) · Ecology and Evolution · doi:10.1002/ece3.3910 · Cited by 27 · cited 2×
“…relevant traits are conserved or modified along any given phylogeny, thereby providing evidence about the roles of environmental filtering and competitive segregation in assembly processes (Cavender- Bares et al., 2009; Pavoine et al., 2008; He et al., 2018; reviewed in Cadotte et al., 2019).”
BackgroundNiche segregation of Himalayan river birds
Buckton, S., & Ormerod, S. (2008) · doi:10.1111/j.1557-9263.2008.00160.x · Cited by 27 · cited 6×
“…either by direct aquatic foraging or by exploiting the subsidy of food resources that reaches the riparian zone by export from the river channel (Buckton & Ormerod, 2008; Petersen et al., 2004); (ii) they occupy habitats created specifically by the fluvial geomorphological system linked to high…”
BackgroundMethodInfluentialSelf-citationOrmerod, S. (2008) · doi:10.1111/j.1474-919x.1985.tb05073.x · Cited by 26 · cited 1×
“In a similar vein, measurements of the availability or abundance of prey used by any of the species were beyond the capabilities of this study, even though prey abundance is known to influence the density of river birds (Ormerod, 1985; Ormerod & Tyler, 1991).”
BackgroundSelf-citationAspects of the breeding ecology of Welsh Grey Wagtails Motacilla cinerea
Ormerod, S., & Tyler, S. (1987) · doi:10.1080/00063658709476935 · Cited by 20 · cited 1×
“Some species in our study were associated with the least modified river reaches where bank vegetation, geomorphological structure, and flow patterns were unimpaired and expected to support abundant prey (Ormerod & Tyler, 1987, 1991; Sinha et al., 2019).”
BackgroundSelf-citationComputing the skewness of the phylogenetic mean pairwise distance in linear time
Tsirogiannis, C., & Sandel, B. (2013) · Algorithms for Molecular Biology · doi:10.1186/1748-7188-9-15 · Cited by 18 · cited 1×
“…or functional tree “T” with a set of species “n” represented by a subset of branching nodes, the MPD of “n” is MPD(orMFD) = ∑n i ∑n j i,j n (i ≠ j) equal to the average of the distances of all possible simple paths in “T” that connect pairs of nodes in “n” (Tsirogiannis & Sandel, 2014).”
BackgroundD'Amico, F., & Hémery, G. (2002) · doi:10.1046/j.1474-919x.2003.00108.x · Cited by 13 · cited 1×
“This visit frequency is considered appropriate for detecting specialist river birds that occupy linear territories (D'Amico & Hemery, 2003).”
BackgroundHYPOXIA, HABITATS AND COMPETITION: DETERMINANTS OF ELEVATIONAL DISTRIBUTION IN HIMALAYAN BIRDS.
Barve, S. (2017) · doi:10.7298/x4b85683 · Cited by 1 · cited 2×
“Areas above 1500 m in the northwest Himalaya are highly seasonal with cold winters and mild summers (Barve, 2017).”
Background
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8 of the 91 references couldn’t be matched to a known paper.
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Fu, L., Zhan, C.-X., Wang, H.-Z., Song, S., Xu, P., Zhang, L.-N., Zhao, J.-C., & Gao, D. (2024) · Global Ecology and Conservation · doi:10.1016/j.gecco.2024.e03259 · Cited by 6 · see citing works
Xia, S.-S., Han, J., Ji, X., & Zhou, L.-Z. (2025) · Global Ecology and Conservation · doi:10.1016/j.gecco.2025.e03818 · Cited by 3
Xu, W., Gong, Y., Wang, L., Yao, J.-Y., & Wang, H. (2022) · Ecology and Evolution · doi:10.1002/ece3.9542 · Cited by 3
Jin, H., Zhao, S., Ding, Z.-F., Yang, Y., Song, G., Huang, S.-S., Liu, R., Zhou, S., Yang, L., & Zhou, Y.-H. (2026) · Biology · doi:10.3390/biology15020138 · Cited by 2
“In the breeding season (Figure 3a), traits such as beak length, tail length, and tarsus length have a strong explanatory power on avian distribution (importance > 99%), consistent with the functional trait environmental filtering theory [57,58].”
Population Variability and Apparent Recent Decline of River Birds in the Indian Himalaya
Sinha, A., Chatterjee, N., Ormerod, S. J., & Krishnamurthy, R. (2025) · Biotropica · doi:10.1111/btp.70017 · Cited by 1 · see citing works
“These are recognized pressures on river ecosystems known to affect river bird distribution in the Himalaya (Vaughan et al. 2007; Sinha et al. 2019, 2022).”
Self-citationBird–prey network structure and trophic modularity in a Himalayan river ecosystem
Haq, I. U., Ahmad, K., Abbasi, F., & Rahmani, A. R. (2026) · Avian Biology Research · doi:10.1177/17581559261469345
Conserving the World's Specialist Riverine Birds
Sinha, A., Chatterjee, N., & Ormerod, S. (2026) · WIREs Water · doi:10.1002/wat2.70082
“…geomorphological structure, sub-stratum, productivity, prey availability, riparian forest cover, and human disturbance combine to mediate species occurrence and assembly through environmental filtering of morphological and physiological traits (Manel et al. 2000; Sinha, Chatterjee, et al. 2022).”
InfluentialSelf-citation
- Authors
- Sinha, A., Chatterjee, N., Krishnamurthy, R., & Ormerod, S. J.
- Affiliations
- Wildlife Institute of India (IN)
- University of British Columbia (CA)
- Freshwater Biological Association (GB)
- Corresponding author
- Ormerod, Steve J.
- Venue
- Ecology and Evolution
- Publisher
- Wiley
- Published
- 2022-06
- Volume
- 12
- Issue
- 6
- Pages
- e9012-e9012
- ISSN
- 2045-7758 (ISSN-L)
- PMC
- PMC9204853
- OpenAlex
- W4283017490
- Cited by
- 21
- References
- 91
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 2 · 2023: 13 · 2022: 1
- FWCI
- 2.40
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Ecology and Evolution (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Ministry of Environment
- Ministry of Environment, Forest and Climate Change
- Topics
- Physical Sciences › Environmental Science › Ecology › Avian ecology and behavior
- Physical Sciences › Environmental Science › Nature and Landscape Conservation › Ecology and Vegetation Dynamics Studies
- Physical Sciences › Environmental Science › Ecology › Freshwater macroinvertebrate diversity and ecology
- Keywords
- community assembly, functional traits, phylogeny, elevation gradient, environmental filtering, phylogenetic signal, headwater streams, insectivorous birds, body size, bill size, tarsus length, species coexistence, habitat heterogeneity
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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.
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