-
Notifications
You must be signed in to change notification settings - Fork 4
/
xx_references.Rmd
183 lines (91 loc) · 13.8 KB
/
xx_references.Rmd
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
\clearpage
# References
Aiello-Lammens, M. E. et al. 2015. spThin: an R package for spatial thinning of species occurrence records for use in ecological niche models. - Ecography 38: 541–545.
Ali, S. and Ripley, S. D. 1983. Handbook of the birds of India and Pakistan. - Oxford University Press.
Anand, M. O. et al. 2010. Sustaining biodiversity conservation in human-modified landscapes in the Western Ghats: Remnant forests matter. - Biological Conservation 143: 2363–2374.
Arasumani, M. et al. 2018. Not seeing the grass for the trees: plantations and agriculture shrink tropical montane grassland by two-thirds over four decades in the Palani Hills, a Western Ghats Sky Island. - PloS ONE 13: 1–18.
Bartoń, K. 2009. MuMIn: multi-model inference.
Barve, S. et al. 2021. Elevation and body size drive convergent variation in thermo‐insulative feather structure of Himalayan birds. - Ecography 44: 680–689.
Boyle, W. A. et al. 2020. Hygric Niches for Tropical Endotherms. - Trends in Ecology and Evolution xx: 1–15.
Burnham, K. P. and Anderson, D. R. 2002. Model selection and multimodel inference: a practical information-theoretic approach. - Springer.
Burnham, K. P. et al. 2011. AIC model selection and multimodel inference in behavioral ecology: Some background, observations, and comparisons. - Behavioral Ecology and Sociobiology 65: 23–35.
Butt, N. et al. 2015. Cascading effects of climate extremes on vertebrate fauna through changes to low-latitude tree flowering and fruiting phenology. - Global Change Biology 21: 3267–3277.
Chan, W.-P. et al. 2016. Seasonal and daily climate variation have opposite effects on species elevational range size. - Science 351: 1437–1439.
Das, A. et al. 2006. Prioritisation of conservation areas in the Western Ghats, India. - Biological Conservation 133: 16–31.
Davies, R. G. et al. 2007. Topography, energy and the global distribution of bird species richness. - Proceedings of the Royal Society B: Biological Sciences 274: 1189–1197.
Deutsch, C. A. et al. 2008. Impacts of climate warming on terrestrial ectotherms across latitude. - Proceedings of the National Academy of Sciences of the United States of America 105: 6668–6672.
Devictor, V. et al. 2010. Beyond scarcity: citizen science programmes as useful tools for conservation biogeography: Citizen science and conservation biogeography. - Diversity and Distributions 16: 354–362.
Ellwood, E. R. et al. 2017. Citizen science and conservation: Recommendations for a rapidly moving field. - Biological Conservation 208: 1–4.
Elsen, P. R. et al. 2017. The role of competition, ecotones, and temperature in the elevational distribution of Himalayan birds. - Ecology 98: 337–348.
Elsen, P. R. et al. 2018. Conserving Himalayan birds in highly seasonal forested and agricultural landscapes. - Conservation Biology 32: 1313–1324.
Elsen, P. R. et al. 2020. Topography and human pressure in mountain ranges alter expected species responses to climate change. - Nature Communications 11: 1–10.
Fink, D. et al. 2014. Crowdsourcing Meets Ecology: Distribution Models. - Association for the Advancement of Artificial Intelligence: 19–30.
Fiske, I. J. and Chandler, R. B. 2011. Unmarked: An R package for fitting hierarchical models of wildlife occurrence and abundance. - Journal of Statistical Software 43: 1–23.
Freeman, B. G. et al. 2018. Climate change causes upslope shifts and mountaintop extirpations in a tropical bird community. - Proceedings of the National Academy of Sciences 115: 11982–11987.
Frishkoff, L. O. et al. 2016. Climate change and habitat conversion favour the same species. - Ecology letters 19: 1081–1090.
Gadgil, M. and Meher-Homji, V. 1986. Localities of great significance to conservation of India’s biological diversity. - Proceedings of the Indian Academy of Sciences: 165–180.
Guo, F. et al. 2018. Land-use change interacts with climate to determine elevational species redistribution. - Nature Communications 2018 9:1 9: 1315–1315.
Jankowski, J. E. et al. 2013. Exploring the role of physiology and biotic interactions in determining elevational ranges of tropical animals. - Ecography 36: 1–12.
Janzen, D. H. 1967. Why Mountain Passes are Higher in the Tropics. - The American naturalist 101: 233–249.
Johnston, A. et al. 2015. Abundance models improve spatial and temporal prioritization of conservation resources. - Ecological Applications 25: 1749–1756.
Johnston, A. et al. 2018. Estimates of observer expertise improve species distributions from citizen science data. - Methods in Ecology and Evolution 9: 88–97.
Johnston, A. et al. 2021. Analytical guidelines to increase the value of community science data: An example using eBird data to estimate species distributions (Y Fourcade, Ed.). - Divers Distrib 27: 1265–1277.
Karanth, K. K. et al. 2016. Producing Diversity: Agroforests Sustain Avian Richness and Abundance in India’s Western Ghats. - Frontiers in Ecology and Evolution 4: 1–10.
Karger, D. N. et al. 2017. Climatologies at high resolution for the earth’s land surface areas. - Scientific Data 4: 1–20.
Kelling, S. et al. 2015. Can observation skills of citizen scientists be estimated using species accumulation curves? - PLoS ONE 10: 1–20.
Kelling, S. et al. 2019. Using Semistructured Surveys to Improve Citizen Science Data for Monitoring Biodiversity. - BioScience 69: 170–179.
Kennedy, C. M. et al. 2011. Landscape matrix mediates occupancy dynamics of Neotropical avian insectivores. - Ecological Applications 21: 1837–1850.
La Sorte, F. A. and Jetz, W. 2010. Projected range contractions of montane biodiversity under global warming. - Proceedings of the Royal Society B: Biological Sciences 277: 3401–3410.
Loiselle, B. A. and Blake, J. G. 1991. Temporal Variation in Birds and Fruits Along an Elevational Gradient in Costa Rica. - Ecology 72: 180–193.
MacKenzie, D. I. and Bailey, L. L. 2004. Assessing the fit of site-occupancy models. - Journal of Agricultural, Biological, and Environmental Statistics 9: 300–318.
Mackenzie, D. I. et al. 2002. Estimating Site Occupancy Rates When Detection Probabilities Are Less Than One. - Ecology 83: 1–19.
MacKenzie, D. et al. 2017. Occupancy estimation and modeling: inferring patterns and dynamics of species occurrence. - Academic Press.
Mani, M. S. 1974. Ecology and Biogeography in India. - Springer Netherlands.
McGill, B. J. et al. 2006. Rebuilding community ecology from functional traits. - Trends in Ecology and Evolution 21: 178–185.
Myers, N. et al. 2000. Biodiversity hotspots for conservation priorities. - Nature 403: 853–858.
Newbold, T. et al. 2015. Global effects of land use on local terrestrial biodiversity. - Nature 520: 45–50.
Nogués-Bravo, D. et al. 2007. Exposure of global mountain systems to climate warming during the 21st Century. - Global Environmental Change 17: 420–428.
Nowakowski, A. J. et al. 2018. Changing Thermal Landscapes: Merging Climate Science and Landscape Ecology through Thermal Biology. - Current Landscape Ecology Reports 3: 57–72.
O’Donnell, M. S. and Ignizio, D. A. 2012. Bioclimatic predictors for supporting ecological applications in the conterminous United States.
OpenStreetMap contributors 2017. Planet dump retrieved from https://planet.osm.org. in press.
Pascal, J. 1988. Wet evergreen forests of the Western Ghats of India: Ecology, structure, floristic composition and succession (Travaux de la Section scientifique et technique). - Institut Francais de Pondicherry.
Payne, D. et al. 2017. Opportunities for research on mountain biodiversity under global change. - Current Opinion in Environmental Sustainability 29: 40–47.
Perez, T. M. et al. 2016. Thermal trouble in the tropics. - Science 351: 1392–1393.
Peters, M. K. et al. 2019. Climate–land-use interactions shape tropical mountain biodiversity and ecosystem functions. - Nature 568: 88–92.
Pigot, A. L. et al. 2020. Macroevolutionary convergence connects morphological form to ecological function in birds. - Nature Ecology and Evolution 4: 230–239.
Praveen J 2017. On the geo-precision of data for modelling home range of a species–A commentary on Ramesh et al. (2017). - Biological Conservation.
Praveen J 2021. Kerala Bird Atlas 2015-2020: features, outcomes and implications of a citizen-science project. - Current Science 122: 298–309.
Quintero, I. and Jetz, W. 2018. Global elevational diversity and diversification of birds. - Nature 555: 246–250.
R Core Team 2020. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.
Rahbek, C. et al. 2019. Humboldt’s enigma: What causes global patterns of mountain biodiversity? - Science 365: 1108–1113.
Rajendran, K. et al. 2012. Monsoon circulation interaction with Western Ghats orography under changing climate: Projection by a 20-km mesh AGCM. - Theor Appl Climatol 110: 555–571.
Raman, T. R. S. 2006. Effects of habitat structure and adjacent habitats on birds in tropical rainforest fragments and shaded plantations in the Western Ghats, India. - Biodiversity and Conservation 15: 1577–1607.
Raman, T. R. S. et al. 2021. Native shade trees aid bird conservation in tea plantations in southern India. - CURRENT SCIENCE 121: 12.
Ranganathan, J. et al. 2010. Landscape-level effects on avifauna within tropical agriculture in the Western Ghats: Insights for management and conservation. - Biological Conservation 143: 2909–2917.
Robin, V. V. et al. 2015. Islands within islands: two montane palaeo-endemic birds impacted by recent anthropogenic fragmentation. - Molecular ecology 24: 3572–3584.
Robinson, O. J. et al. 2020. Integrating citizen science data with expert surveys increases accuracy and spatial extent of species distribution models (L Maiorano, Ed.). - Divers Distrib 26: 976–986.
Roy, P. S. et al. 2015. Development of decadal (1985-1995-2005) land use and land cover database for India. - Remote Sensing 7: 2401–2430.
Şekercioĝlu, çaĝan H. et al. 2012. The effects of climate change on tropical birds. - Biological Conservation 148: 1–18.
Senior, R. A. et al. 2017. A pantropical analysis of the impacts of forest degradation and conversion on local temperature. - Ecology and Evolution 7: 7897–7908.
Sidhu, S. et al. 2010. Effects of plantations and home-gardens on tropical forest bird communities and mixed-species bird flocks in the southern Western Ghats. - Journal of the Bombay Natural History Society 107: 91–91.
Sirami, C. et al. 2017. Impacts of global change on species distributions: obstacles and solutions to integrate climate and land use. - Global Ecology and Biogeography 26: 385–394.
SoIB 2020. State of India’s Birds, 2020: Range, trends and conservation status.
Sreekar, R. et al. 2013. Natural Windbreaks Sustain Bird Diversity in a Tea-Dominated Landscape. - PLoS ONE 8: 4–11.
Srinivasan, U. and Wilcove, D. S. 2020. Interactive impacts of climate change and land‐use change on the demography of montane birds. - Ecology.
Srinivasan, U. et al. 2018. Temperature and competition interact to structure himalayan bird communities. - Proceedings of the Royal Society B: Biological Sciences.
Srinivasan, U. et al. 2019. Annual temperature variation influences the vulnerability of montane bird communities to land-use change. - Ecography 42: 2084–2094.
Steen, V. A. et al. 2021. Spatial thinning and class balancing: Key choices lead to variation in the performance of species distribution models with citizen science data (J McPherson, Ed.). - Methods Ecol Evol 12: 216–226.
Stevens, G. C. 1989. The Latitudinal Gradient in Geographical Range: How so Many Species Coexist in the Tropics. - The American Naturalist 133: 240–256.
Sullivan, B. L. et al. 2009. eBird: A citizen-based bird observation network in the biological sciences. - Biological Conservation 142: 2282–2292.
Sullivan, B. L. et al. 2014. The eBird enterprise: An integrated approach to development and application of citizen science. - Biological Conservation 169: 31–40.
Sunarto, S. et al. 2012. Tigers need cover: Multi-scale occupancy study of the big cat in Sumatran forest and plantation landscapes. - PLoS ONE.
Tewksbury, J. J. et al. 2008. Putting the Heat on Tropical Animals. - Science (New York, N.Y.) 320: 1296–1297.
Tingley, M. W. et al. 2009. Birds track their Grinnellian niche through a century of climate change. - Proceedings of the National Academy of Sciences 106: 19637–19643.
Tsai, P. Y. et al. 2020. New insights into the patterns and drivers of avian altitudinal migration from a growing crowdsourcing data source. - Ecography: 1–12.
Urban, M. C. 2018. Escalator to extinction. - Proc Natl Acad Sci USA 115: 11871–11873.
van Strien, A. J. et al. 2013. Opportunistic citizen science data of animal species produce reliable estimates of distribution trends if analysed with occupancy models. - Journal of Applied Ecology 50: 1450–1458.
Vijayakumar, S. P. et al. 2016. Glaciations, gradients, and geography: multiple drivers of diversification of bush frogs in the Western Ghats Escarpment. - Proceedings of the Royal Society B: Biological Sciences 283: 20161011–20161011.
Viswanathan, A. et al. 2020. State of India’s Birds 2020: Background and Methodology.: 1–36.
Williams, S. E. and Middleton, J. 2008. Climatic seasonality, resource bottlenecks, and abundance of rainforest birds: implications for global climate change: Birds, seasonality and climate change. - Diversity and Distributions 14: 69–77.
Wood, C. et al. 2011. eBird: Engaging Birders in Science and Conservation. - PLoS Biol 9: e1001220.
Yalcin, S. and Leroux, S. J. 2018. An empirical test of the relative and combined effects of land-cover and climate change on local colonization and extinction. - Global Change Biology 24: 3849–3861.