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1 January 2020 Nonbreeding Bird Communities Along an Urban–Rural Gradient of a Tropical City in Central Myanmar
Marcela Suarez-Rubio, Thein Aung, Sai Sein Lin Oo, Nay Myo Shwe, Nay Myo Hlaing, Kyaw Myo Naing, Tun Oo, Mie Mie Sein, Swen C. Renner
Author Affiliations +
Abstract

Urbanization is known to be a major driver in abundance and species richness of birds. However, how birds respond to urbanization in tropical cities is understudied in general and entirely absent from Myanmar. We conducted a study in and around Mandalay, a large city in central Myanmar to gather first data on birds and their response to urbanization. We selected four habitats with 10 sampling points each in November 2015. We made 1,536 observations of 68 bird species. The number of species and diversity significantly differed between the four localities. Mandalay Hill and Downtown Mandalay had the lowest number of species and diversity, whereas the University Campus and Paddy Fields had the highest. The highest number of observations was in Downtown Mandalay (1,003 counts) and the lowest on Mandalay Hill (103). Nonmetric multidimensional scaling ordination techniques showed that the four habitat types had significantly different bird species composition. Our results indicate a large effect of urbanization on species diversity, species richness, and species composition of birds.

Introduction

Urban development has rapidly increased worldwide and an estimated 70% of the world's human population will be living in cities by 2050 (UN-HABITAT, 2013). Urbanization alters natural habitats and is considered as a major cause of the extinction of native species (Czech, Krausman, & Devers, 2000; Marzluff, 2001). Birds are highly affected by urbanization (e.g., Beissinger & Osborne, 1982; Biamonte, Sandoval, Chacón, & Barrantes, 2011; Crooks, Suarez, & Bolger, 2004; Reale & Blair, 2005; Sorace & Gustin, 2010; Suarez-Rubio, Renner, & Leimgruber, 2011). In general, bird species diversity and richness decrease in urban areas compared with native habitats, whereas biomass and density increase (Chace & Walsh, 2006; McKinney, 2008; Suarez-Rubio et al., 2011). However, this pattern may not hold for all geographic regions (Saari et al., 2016). Species composition also changes with urban development. Urban assemblages are similar in species composition compared with nonurban assemblages, indicating that urbanization is a major cause of biotic homogenization (Clergeau, Croci, Jokimaki, Kaisanlahti-Jokimaki, & Dinetti, 2006; Filloy, Grosso, & Bellocq, 2015; McKinney, 2006). Bird communities are usually dominated by a few, often introduced species, and granivores, omnivores, and cavity-nesting species are favored (Beissinger & Osborne, 1982; Blair, 1996; Fernández-Juricic, 2001; Ortega-Alvarez & MacGregor-Fors, 2009). These patterns have been confirmed throughout the world for forest, desert scrub, and grassland habitats (Chace & Walsh, 2006). Nonetheless, diversity patterns and composition of urban bird communities depend on abiotic factors and ecological and evolutionary forces at play (e.g., species interactions, immigration, and natural selection) (Faeth, Bang, & Saari, 2011).

Although Southeast Asia has a rapid human population growth, the level of urbanization is fairly low compared with other regions (Jones, 2013). Nonetheless, urban areas have been rapidly increasing in the last decades (Jones, 2013). In 2010, around 2% of Southeast Asia's population lived in urban areas, twice the proportion in 1970 (Jones, 2013). However, there is a paucity of information on the impacts of urbanization on avian communities in Southeast Asia (Chace & Walsh, 2006; Magle, Hunt, Vernon, & Crooks, 2012) and Myanmar in particular. Myanmar harbors some of the world's most biodiversity-rich ecosystems (Mittermeier, Turner, Larsen, Brooks, & Gascon, 2011; Sodhi, Koh, Brook, & Ng, 2004) and has been recognized as a biodiversity hotspot given the high concentration of endemic species in this area (Mittermeier et al., 2011; Myers, Mittermeier, Mittermeier, da Fonseca, & Kent, 2000; Sodhi et al., 2004). However, little is known about the effects of urbanization on Myanmar's avifauna despite the rich diversity that might be under pressure from human population growth.

The aim of this study was to examine bird species richness, diversity, and relative abundance along an urban–rural gradient in and around Mandalay city in central Myanmar and to assess bird community composition in areas with different housing density. We expected that areas with high housing density had low number of bird species, low diversity, and high relative abundance, whereas areas with low housing density and higher proportion of trees had high number of species, high diversity, and low relative abundance, as well as a shift in species composition.

Methods

Study area

The study was conducted in and around Mandalay (21 °59′N, 96 °5′E), Mandalay Region, in central Myanmar (Figure 1). Mandalay is the second largest city of Myanmar with around 1.5 million inhabitants and a population density of 7,000 people km−2. Population of Mandalay increased from 960,000 to 1,200,000 between 1993 and 2003 and the city is projected to increase 10% by 2025 (United Nations, 2008). The city is located in the central dry zone of Myanmar, in which total annual precipitation is 915 mm on average. Mean annual temperature is 27.3℃ and ranges between 13℃ and 38℃. Elevation is 74 m a.s.l., except for Mandalay Hill, which is located at the outskirts of the city, where elevation reaches 223 m. The typical vegetation in Mandalay is dry deciduous tropical forests.

Figure 1.

Study area (star) in Myanmar (bold gray line) and locations of point counts in Mandalay (colored dots/circles). Each dots/circle is a point count locality in one of the four land use classes (names refer to the classes and major sites we use in this study); black lines are township borders in Mandalay.

10.1177_1940082916675961-fig1.tif

We selected four habitat types based on differences in housing density (Figure 1). Downtown Mandalay (DM) is mainly located at the western part of the Royal Palace, is highly developed ( > 70% impervious surface), and has a very high housing and human population density. Trees, mostly native species, are limited to few rather small patches and along streets. Mandalay University Campus (UC) is located south of downtown. It is moderately developed (30–40%), has many large trees, and partially dense understory. Some parts are covered with grass or bare soils. Mandalay Hill (MH) is located northeast of the city, is sparsely developed ( < 30%), and is covered with forests that consist mainly of scrubs and thorn bushes of up to 15 m height. Buildings consist of few pagodas/stupas and the stairways. In addition, there are few houses, and inhabitants living on the Hill are restricted to the monks. Paddy Fields (PF) at the eastern fringes of Mandalay near the village of Yay Kyi (around 300 m distance northeast) are rural agricultural areas with no houses and some larger trees. The agricultural area is characterized by a patchwork of rice Paddy Fields and Eugenia plantations, although rice is the dominant crop in the area.

At each habitat type, we selected 10 sampling points (i.e., 40 points in total) and kept a minimum distance of 250 m in-between point counts to ensure independence and considerably decrease the likelihood of counting the same bird twice. In Mandalay Hill, we placed the points along the main road to the pagoda and stairways to minimize interference with religious activities. In the other three places, we kept on roads or walking paths to have similar observational conditions and reduce bias by diversification of microhabitats. The characteristics of habitat, housing density, and general structure within each of the four areas are homogenous as to reduce any other potential effects on the bird species composition and relative abundance during analysis.

Bird surveys

We surveyed birds at the four habitat types from 20 to 24 November 2015. We used fixed-radius point counts with a 50-m radius. At each sampling point, we surveyed all birds heard or seen during 10 min from 6.30 a.m. to 10.00 a.m. We covered the same time span in each of the four habitat types to guarantee the same effort and procedure in all four areas. We recorded all birds and number of observations and noted weather, time, distance to observer, sex, and age as precise as possible. Each audiovisually recorded bird was likely an individual, but we used the term observation instead because we cannot certainty exclude double counts of one individual, because in few instances records may be impossible to tell apart. By using 10-min intervals, we decreased the probability of double counting and increased the probability of recording all species at any given sampling point during the 10-min intervals (Bibby, 2000). We also recorded all birds in-between point counts but did not use these for statistical analysis.

Data analysis

To evaluate differences between habitat types and number of species, we performed a generalized linear model (GLM) with a Poisson error distribution and checked for overdispersion. When overdispersion was detected, we corrected the standard errors using a quasi-GLM model (Zuur, Ieno, Walker, Saveliev, & Smith, 2009). Differences between habitat types and Shannon diversity index were assessed using analysis of variance (ANOVA) after verifying for homogeneity of variances (Fligner test) and normality (Bartlett test). We did a Tukey test for a posteriori comparison of diversity of the four habitats. We also assessed differences between habitats and observations (i.e., relative abundance) using a GLM with a Poisson error distribution. We performed this latter analysis both including and excluding the Rock Pigeon, because Rock Pigeons accounted for 78.9% of all observations in Downtown Mandalay. All analyses were done in R version 3.1.1 (R Core Team, 2014) and an alpha level of 0.05. We also assessed the abundance-based sampling coverage (C.hat, S.hat), calculated with Hsieh, Ma, & Chao (2013) with 500 bootstraps, per habitat type.

We assessed differences in bird community composition among habitat types using nonmetric multidimensional scaling (NMS; McCune & Grace, 2002). Relative abundance were log-transformed and then we searched for outliers among habitat types and bird species, using Sørensen (Bray–Curtis) distance with a cutoff of two standard deviations (McCune & Grace, 2002). We ran NMS using Sørensen distance, with a first approximation run of 6D stepping down to 1D solution, starting 20 runs from a random configuration and 250 iterations. We selected 2D as the final solution, using the starting configuration that worked best, and one real-run as suggested by McCune and Grace (2002). To evaluate significant differences among habitat types and bird species composition, we performed a distance-based permutational multivariate ANOVA (PerMANOVA) (Anderson, 2001) using 4,999 number of randomizations and using Sørensen distance. The outlier analysis, NMS, and PerMANOVA were performed using PC-ORD 6 for Windows (McCune & Mefford, 2011).

Results

During our survey, we recorded 1,536 in 68 bird species, with Rock Pigeon, House Sparrow, Streak-eared Bulbul, and House Crow the species with the overall most encounters (Appendix A). Our sampling coverage per habitat type (C.hat) varied from 0.923 in Mandalay Hill to 0.994 in Downtown Mandalay and is overall very high approaching 1.000. Number of species significantly differed between the four habitat types (GLM: Residual deviance = 32.480, df = 36, p < .001), also for estimated species richness per habitat type (Chao1: DM = 25.6, UC = 48.6, MH = 34.6, PF = 67.1). Mandalay Hill and Downtown Mandalay had the lowest number of species, whereas the University Campus and Paddy Fields had the highest (Figure 2). Bird diversity was also significantly different among habitats (ANOVA: F3 = 11.7, p < .001; Figure 2). Downtown Mandalay had the lowest bird diversity and was significantly different from University Campus (p = .002) and Paddy Fields (p < .001), which both had the highest diversity. Also Paddy Fields had high bird diversity compared with Mandalay Hill (p =.018). Observations were different among the four habitat types (including Rock Pigeon: GLM Residual deviance =3,450, df = 328, p < .001; excluding Rock Pigeon: GLM Residual deviance = 469.02, df = 308, p < .001). The highest number of observations was in Downtown Mandalay (1,003 counts; Figure 3) and the lowest on Mandalay Hill (103).

Figure 2.

(a) Number of species among four habitat types in Mandalay, Myanmar, and (b) bird species diversity among four habitat types in Mandalay, Myanmar: Downtown Mandalay, University Campus, Mandalay Hill, and Paddy Fields.

10.1177_1940082916675961-fig2.tif

Figure 3.

Variability in number of observations per locality (a) including and (b) excluding the Rock Pigeon in Mandalay, Myanmar.

10.1177_1940082916675961-fig3.tif

Neither habitat types nor bird species were identified as outliers. NMS analysis produced a final optimum 2D ordination space, which represented 75% of the variance in the original species data (R2 NMS1 = 0.43, NMS2 =0.32, stress = 0.15). The NMS ordination showed that habitat types had different bird species composition (Figure 4). This was supported by the PerMANOVA, which showed a significant difference among habitat types (p < .001). Pairwise comparisons also indicated significant differences on species composition for the different habitats (Appendix B). An examination of the relative abundance of some species showed that some birds such as Eastern Stonechat tend to prefer Paddy Fields, others such as Yellow-browed Warbler may favor Mandalay Hill, and others such as Common Myna occurred more often in University Campus and Downtown Mandalay (Figure 5).

Figure 4.

NMS ordination of sampling locations color-coded by habitat types. The first and second NMS axes represent 43% and 32% of the variance.

10.1177_1940082916675961-fig4.tif

Figure 5.

NMS ordination of sampling locations sized by relative abundance of Eastern Stonechat, Yellow-browed Warbler, and Common Myna and color-coded by habitat type. DM = Downtown Mandalay; US = University Campus; MH = Mandalay Hill; PF = Paddy Fields.

10.1177_1940082916675961-fig5.tif

Discussion

Our results indicate distinct responses by the bird communities towards housing densities and development. We found that urbanization has significant effects on bird species richness (observed and estimated), diversity, and abundance. With the data we collected, we can confirm our expectations that areas with high developed areas (particularly Downtown Mandalay) have low number of bird species, low diversity, but high relative abundance, whereas low developed areas and areas with higher portion of trees (particularly University Campus) had high number of species, high diversity, and low relative abundance. Our results contradict at least partially other studies; for example, others have found that bird richness is highest in residential areas with yards composed by trees, shrubs, and lawn (Blair, 1996; Leveau & Leveau, 2005; Marzluff, 2008). Our results support previous studies in which higher abundance of few species such as sparrows are found in areas with high housing density, while at the same time generalist species that feed on anything available and breed mainly in cavities occur (Suarez-Rubio et al., 2011; Suarez-Rubio & Thomlinson, 2009).

We were surprised by the relatively large number of bird species in the paddy fields, because agriculture usually has lower numbers of birds than, for example, forested sites (O'Connell, Jackson, & Brooks, 2000). But in our case, the close proximity of many bushes and hedge rows diversified the otherwise monotonous landscape, which could explain the high diversity. In contrast, we found very low numbers of individuals and relatively few species on Mandalay Hill, an area with diverse habitat structure with interspersed pagodas. Perhaps, the daily high activity of humans might drive the bird individuals into areas with less activity and therefore have not been recorded in our surveys.

Besides the change in species numbers and diversity, we found a significant shift in species composition. In high developed areas (Downtown Mandalay), we found more species that are commonly associated with human development such as Rock Pigeon or Sparrows. Similar trends have been found for urban areas where few generalist species increase in numbers and are present while absent in forested areas for example (Blair, 1996). In addition, significant species composition changes have been found along other trends of human development such as exurban development (Suarez-Rubio et al., 2011).

As in other cities of the world, the Rock Pigeon and the House Sparrow were very frequent in Downtown Mandalay, but interestingly other sensitive species such as Streak-eared Bulbul can still be found in the city, probably due to remaining forest fragments or parks within the city. Nonetheless, our results indicate that urbanization has an effect on the bird community although the level of urbanization in Mandalay is fairly low compared with other Southeast Asian cities.

Implications for conservation

We provided preliminary information on the bird community of Mandalay, Myanmar and showed the effects of development (housing) on the species composition, diversity, and abundance. Although we have a small sample size (but very high estimated sampling coverage with over 92%) and have considered only a short time period, several species tend to avoid downtown areas such as Mandalay. To our knowledge, this is the first time that the effects of urbanization are being documented for Myanmar—a notoriously understudied country—and indicates its congruence with studies in other tropical and temperate regions (Sorace & Gustin, 2010; Suarez-Rubio et al., 2011; Suarez-Rubio & Thomlinson, 2009). Thus, continued monitoring of the bird community in cities of Myanmar, particularly Mandalay, would provide further insights on the effects of urbanization on birds, especially given the projected population growth in the city. In addition, remnant habitat and diverse vegetation structure within the city such as Mandalay University Campus should be preserved to aid the conservation of birds in the city.

Acknowledgments

The work originated from a training workshop on scientifically based methods for students and NGO members from Myanmar. The authors thank Rufford Foundation ( http://www.rufford.org/) for the kind support. The University of Mandalay hosted the training workshop and facilitated the work. Dr. Paul J. J. Bates (Harrison Institute) helped during different stages of the work to implement the workshop and gather field data. The funding organization and the host had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Declaration of Conflicting Interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The authors thank Rufford Foundation ( http://www.rufford.org/) for funding the training workshop (Renner #17058-1).

References

1.

Anderson, M. J., (2001) A new method for non-parametric multivariate analysis of variance. Austral Ecology 26(1): 32–46. https://doi.org/10.1111/j.1442-9993.2001.01070.pp.xGoogle Scholar

2.

Beissinger, S. R., Osborne, D. R., (1982) Effects of urbanization on avian community organization. Condor 84: 75–83. Google Scholar

3.

Biamonte, E., Sandoval, L., Chacón, E., Barrantes, G., (2011) Effect of urbanization on the avifauna in a tropical metropolitan area. Landscape Ecology 26(2): 183–194. https://doi.org/10.1007/s10980-010-9564-0Google Scholar

4.

Bibby, C. J., (2000) Bird census techniques, London: Elsevier. Google Scholar

5.

Blair, R. B., (1996) Land use and avian species diversity along an urban gradient. Ecological Applications 6(2): 506–519. Google Scholar

6.

Chace, J. F., Walsh, J. J., (2006) Urban effects on native avifauna: A review. Landscape and Urban Planning 74(1): 46–69. https://doi.org/10.1016/j.landurbplan.2004.08.007Google Scholar

7.

Clergeau, P., Croci, S., Jokimaki, J., Kaisanlahti-Jokimaki, M. L., Dinetti, M., (2006) Avifauna homogenisation by urbanisation: Analysis at different European latitudes. Biological Conservation 127(3): 336–344. https://doi.org/10.1016/j.biocon.2005.06.035Google Scholar

8.

Crooks, K. R., Suarez, A. V., Bolger, D. T., (2004) Avian assemblages along a gradient of urbanization in a highly fragmented landscape. Biological Conservation 115: 451–462. Google Scholar

9.

Czech, B., Krausman, P. R., Devers, P. K., (2000) Economic associations among causes of species endangerment in the United States. BioScience 50(7): 593–601. Google Scholar

10.

Faeth, S. H., Bang, C., Saari, S., (2011) Urban biodiversity: patterns and mechanisms. Annals of the New York Academy of Sciences 1223: 69–81. https://doi.org/10.1111/j.1749-6632.2010.05925.xGoogle Scholar

11.

Fernández-Juricic, E., (2001) Avian spatial segregation at edges and interiors of urban parks in Madrid, Spain. Biodiversity and Conservation 10(8): 1303–1316. https://doi.org/10.1023/a:1016614625675Google Scholar

12.

Filloy, J., Grosso, S., Bellocq, M. I., (2015) Urbanization altered latitudinal patterns of bird diversity-environment relationships in the southern Neotropics. Urban Ecosystems 18(3): 777–791. https://doi.org/10.1007/s11252-014-0429-1Google Scholar

13.

Hsieh, T., Ma, K., & Chao, A. (2013). iNEXT online: Interpolation and extrapolation (Version 1.0). Retrieved from  http://chao.stat.nthu.edu.tw/blog/software-download/,  https://chao.shinyapps.io/Google Scholar

14.

Jones, G. W. (2013). The population of Southeast Asia. Singapore: Asia Research Institute. Google Scholar

15.

Leveau, C. M., Leveau, L. M., (2005) Avian community response to urbanization in the Pampean region, Argentina. Ornitologia Neotropical 16(4): 503–510. Google Scholar

16.

Magle, S. B., Hunt, V. M., Vernon, M., Crooks, K. R., (2012) Urban wildlife research: past, present, and future. Biological Conservation 155: 23–32. https://doi.org/10.1016/j.biocon.2012.06.018Google Scholar

17.

Marzluff, J. M., (2001) Worldwide urbanization and its effects on birds. In: Marzluff, J. M., Bowman, R., Donnelly, R., (eds) Avian ecology and conservation in an urbanizing world, Boston, MA: Kluwer Academic Publishers, pp. 19–47. Google Scholar

18.

Marzluff, J. M., (2008) Island biogeography for an urbanizing world how extinction and colonization may determine biological diversity in human-dominated landscapes. Urban Ecology 8: 355–371. Google Scholar

19.

McCune, B., Grace, J. B., (2002) Analysis of ecological communities, Gleneden Beach, OR: MjM Software Design. Google Scholar

20.

McCune, B., & Mefford, M. J. (2011). Multivariate analysis of ecological data (Version 6.08). Gleneden Beach, OR: MjM Software Design. Google Scholar

21.

McKinney, M. L., (2006) Urbanization as a major cause of biotic homogenization. Biological Conservation 127(3): 247–260. https://doi.org/10.1016/j.biocon.2005.09.005Google Scholar

22.

McKinney, M. L., (2008) Effects of urbanization on species richness: A review of plants and animals. Urban Ecosystems 11(2): 161–176. Google Scholar

23.

Mittermeier, R. A., Turner, W. R., Larsen, F. W., Brooks, T. M., Gascon, C., (2011) Global biodiversity conservation: The critical role of hotspot. In: Zachos, F. E., Habel, J. C., (eds) Biodiversity hotspots, Berlin, Germany: Springer, pp. 3–22. Google Scholar

24.

Myers, N., Mittermeier, R. A., Mittermeier, C. G., da Fonseca, G. A. B., Kent, J., (2000) Biodiversity hotspots for conservation priorities. Nature 403: 853–858. Google Scholar

25.

O'Connell, T. J., Jackson, L. E., Brooks, R. P., (2000) Bird guilds as indicators of ecological condition in the central Appalachians. Ecological Applications 10(6): 1706–1721. https://doi.org/10.2307/2641233Google Scholar

26.

Ortega-Alvarez, R., MacGregor-Fors, I., (2009) Living in the big city: Effects of urban land-use on bird community structure, diversity, and composition. Landscape and Urban Planning 90(3–4): 189–195. Google Scholar

27.

R Core Team. (2014). R: A language and environment for statistical computing (Version v 3.1.1). Retrieved from  http://www.R-project.orgGoogle Scholar

28.

Reale, J. A., Blair, R. B., (2005) Nesting success and life-history attributes of bird communities along an urbanization gradient. Urban Habitats 3(1): 1–24. Google Scholar

29.

Saari, S., Richter, S., Higgins, M., Oberhofer, M., Jennings, A., Faeth, S. H., (2016) Urbanization is not associated with increased abundance or decreased richness of terrestrial animals – Dissecting the literature through meta-analysis. Urban Ecosystems 19(3): 1251–1264. https://doi.org/10.1007/s11252-016-0549-xGoogle Scholar

30.

Sodhi, N. S., Koh, L. P., Brook, B. W., Ng, P. K. L., (2004) Southeast Asian biodiversity: An impending disaster. Trends in Ecology & Evolution 19(12): 654–660. Google Scholar

31.

Sorace, A., Gustin, M., (2010) Bird species of conservation concern along urban gradients in Italy. Biodiversity and Conservation 19(1): 205–221. https://doi.org/10.1007/s10531-009-9716-1Google Scholar

32.

Suarez-Rubio, M., Renner, S. C., Leimgruber, P., (2011) Influence of exurban development on bird species richness and diversity. Journal of Ornithology 152(2): 461–471. https://doi.org/10.1007/s10336-010-0605-xGoogle Scholar

33.

Suarez-Rubio, M., Thomlinson, J. R., (2009) Landscape and patch-level factors influence bird communities in an urbanized tropical island. Biological Conservation 142(7): 1311–1321. https://doi.org/10.1016/j.biocon.2008.12.035Google Scholar

34.

UN-HABITAT. (2013). State of the world's cities. 2012/2013. Prosperity of cities. New York, USA: United Nations Human Settlement Programme. Google Scholar

35.

United Nations. (2008). World urbanization prospects the 2007 revision. Retrieved from  http://www.un.org/esa/population/publications/wup2007/2007WUP_Highlights_web.pdfGoogle Scholar

36.

Zuur, A. F., Ieno, E. N., Walker, N. J., Saveliev, A. A., Smith, G. M., (2009) Mixed effects models and extensions in ecology with R, New York, NY: Springer. Google Scholar

Appendices

Appendix A.

Species observations per habitat type, sorted by total observations

10.1177_1940082916675961-table1.tif

Appendix B.

Pairwise comparisons of bird species composition between four habitat types in and around Mandalay, Myanmar

10.1177_1940082916675961-table2.tif

Appendix C.

Abstract in Myanmar

10.1177_1940082916675961-img1.tif
© The Author(s) 2016 This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 License (http://www.creativecommons.org/licenses/by-nc/3.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Marcela Suarez-Rubio, Thein Aung, Sai Sein Lin Oo, Nay Myo Shwe, Nay Myo Hlaing, Kyaw Myo Naing, Tun Oo, Mie Mie Sein, and Swen C. Renner "Nonbreeding Bird Communities Along an Urban–Rural Gradient of a Tropical City in Central Myanmar," Tropical Conservation Science 9(4), (1 January 2020). https://doi.org/10.1177/1940082916675961
Received: 11 July 2016; Accepted: 13 September 2016; Published: 1 January 2020
KEYWORDS
bird diversity
Mandalay
Myanmar
point counts
urbanization
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