Abstract
As obligate scavengers, vultures are important to ecosystem health but their numbers are declining globally. A major cause may be habitat loss due to anthropogenic or natural factors. Four threatened and endangered non-Gyps vultures (Bearded, Cinereous, Egyptian, Red-headed) found in many other countries also inhabit diverse floristic landscapes of India. This study aimed to determine present habitat expanse and the projected changes in habitat in future, identify vital habitat influencing factors, and suggest conservation strategies. Species Distribution Model Maxent, presence locations and bioclimate data for the present, and short- and long-term future were used and predictions were made for these four species. To increase the accuracy, uncertainties were removed, ensemble models were created using three GCMs and data for two RCPs (RCP4.5, RCP8.5) across two future tenures. All the models had strong predictability (AUC: 0.759–0.966, TSS: 0.445–0.866, and CBI: 0.986–1.000). With respect to habitat suitability across the landscapes, in the present-day scenario, 5%, 10%, 18% and 48% of the area were found suitable for Bearded, Cinereous, Red-headed, and Egyptian vultures, respectively, against 3.28 million km2. This expanse fluctuated due to the changing climate in future scenarios, considerably large patches undergoing either loss or gain in suitability. The three most vital bioclimatic variables for habitat prediction were bio19 (Precipitation of coldest quarter), bio01 (Mean annual temperature), and bio07 (Temperature annual range). The data generated could be useful in developing conservation strategies. Consistently suitable area could be used for establishing vulture protection area and vulnerable areas for habitat improvement.
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The datasets generated during and/or analyzed during the current study are available in the manuscript and supplementary.
References
Acharya R, Cuthbert R, Baral HS, Chaudhary A (2010) Rapid decline of bearded vultures Gypaetus barbatus in upper mustang. Nepal Forktail 26:117–120
Allouche O, Tsoar A, Kadmon R (2006) Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS). J Appl Ecol 43:1223–1232. https://doi.org/10.1111/j.1365-2664.2006.01214.x
Almaraz P, Martínez F, Morales-Reyes Z, Sanchez-Zapata JA, Blanco G (2022) Long-term demographic dynamics of a keystone scavenger disrupted by human-induced shifts in food availability. Ecol Appl 2022:e2579. https://doi.org/10.1002/eap.2579
Angelieri CCS, Adams-Hosking C, Ferraz KMPMB, de Souza MP, McAlpine CA (2016) Using species distribution models to predict potential landscape restoration effects on puma conservation. PLoS ONE 11(1):e0145232. https://doi.org/10.1371/journal.pone.0145232
Anoop NR, Babu S, Nagarajan R, Sen S (2020) Identifying suitable reintroduction sites for the White-rumped Vulture (Gyps bengalensis) in India’s Western Ghats using niche models and habitat requirements. Ecol Eng 158(2020):106034. https://doi.org/10.1016/j.ecoleng.2020.106034
Araujo MB, Pearson RG, Thuiller W, Erhard M (2005) Validation of species-climate impact models under climate change. Glob Change Biol 11:1504–1513. https://doi.org/10.1111/j.1365-2486.2005.01000.x
Bahadur KCK, Koju NP, Bhusal KP, Low M, Ghimire SK, Ranabhat R, Panthi S (2019) Factors influencing the presence of the endangered Egyptian vulture Neophron percnopterus in Rukum, Nepal. Glob Ecol Conserv 20:e00727. https://doi.org/10.1016/j.gecco.2019.e00727
Baloch MN, Fan J, Haseeb M, Zhang R (2020) Mapping potential distribution of Spodoptera frugiperda (Lepidoptera: Noctuidae) in Central Asia. InSects 11(3):172. https://doi.org/10.3390/insects11030172
Bamford AJ, Monadjem A, Hardy ICW (2009) An effect of vegetation structure on carcass exploitation by vultures in an African savanna. Ostrich 80:135–137
Banag C, Thrippleton T, Alejandro GJ, Reineking B, Liede-Schumann S (2015) Bioclimatic niches of selected endemic Ixora species on the Philippines: predicting habitat suitability due to climate change. Plant Ecol 216:1325–1340. https://doi.org/10.1007/s11258-015-0512-6
Banda LB, Tassie N (2018) Modeling the distribution of four-bird species under climate change in Ethiopia. Ethiop J Biol Sci 17(1):1–17
Barbosa AM, Real R, Munoz AR, Brown JA (2013) New measures for assessing model equilibrium and prediction mismatch in species distribution models. Divers Distrib 19:1333–1338. https://doi.org/10.1111/ddi.12100
Bertrand R, Lenoir J, Piedallu C, Riofrío-Dillon G, de Ruray P, Vidal C, Pierrat JC, Gégout JN (2011) Changes in plant community composition lag behind climate warming in lowland forests. Nature 479:517–520. https://doi.org/10.1038/nature10548
Bhattacherjee A (2012) Social science research: principles, methods, and practices. Textb Collect 3. http://scholarcommons.usf.edu/oa_textbooks/3;2012
Bosch J, Mardones F, Pérez A, de la Torre A, Muñoz MJ (2014) A maximum entropy model for predicting wild boar distribution in Spain. Span J Agric Res 12(4):984–999. https://doi.org/10.5424/sjar/2014124-5717
Bridgeford P, Bridgeford M (2003) Ten years of monitoring breeding Lappet-faced Vultures Torgos tracheliotos in the Namib-Naukluft Park, Namibia. Vulture News 48:3–11
Brown JL, Bennett JR, French CM (2017) SDMtoolbox 2.0: the next generation Python-based GIS toolkit for landscape genetic, bio-geographic and species distribution model analyses. PeerJ 5:e4095. https://doi.org/10.7717/peerj.4095
Buchhorn M, Smets B, Bertels L, De Roo B, Lesiv M, Tsendbazar N-E, Herold M, Fritz S (2020) Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2019: Globe. https://doi.org/10.5281/zenodo.3939050
Byrne ME, Holland AE, Turner KL, Bryan AL, Beasley JC (2019) Using multiple data sources to investigate foraging niche partitioning in sympatric obligate avian scavengers. Ecosphere 10(1):e02548. https://doi.org/10.1002/ecs2.2548
Cable AB, O’Keefe JM, Deppe JL, Hohoff TC, Taylor SJ, Davis MA (2021) Habitat suitability and connectivity modeling reveal priority areas for Indiana bat (Myotis sodalis) conservation in a complex habitat mosaic. Landsc Ecol 36:119–137. https://doi.org/10.1007/s10980-020-01125-2
Campbell MO (2015) Vultures, their evolution, ecology and conservation. CRC Press, Taylor & Francis Group, Boca Raton, London, New York
Cao B, Bai C, Zhang L, Li G, Mao M (2016) Modeling habitat distribution of Cornus officinalis with Maxent modeling and fuzzy logics in China. J Plant Ecol 9(6):742–751. https://doi.org/10.1093/jpe/rtw009
Chaudhry MJI (2007) Are Cape Vultues (Gyps coprotheres) feeling the heat? Behavioural differences at north and south facing colonies in South Africa. University of Cape Town, Cape Town
Chhangani AK (2007) Sightings and nesting sites of red-headed vulture Sarcogyps calvus in Rajasthan, India. Indian Birds 3:218–221
Chhangani AK, Mohnot SM (2004) Is diclofenac the only cause of vulture decline? Curr Sci 87(11):1496–1497
Ćorović J, Popović M, Cogălniceanu D, Carretero MA, Crnobrnja-Isailović J (2018) Distribution of the meadow lizard in Europe and its realized ecological niche model. J Nat Hist 52(29–30):1909–1925. https://doi.org/10.1080/00222933.2018.1502829
Cuthbert R, Green RE, Ranade S, Saravanan SS, Pain DJ, Cunningham AA, Prakash V (2006) Rapid population declines of Egyptian Vulture Neophron percnopterus and Red-headed Vulture Sarcogyps calvus in India. Anim Conserv 9:349–354. https://doi.org/10.1111/j.1469-1795.2006.00041.x
de Frutos A, Olea PP, Vera R (2007) Analyzing and modelling spatial distribution of summering lesser kestrel: the role of spatial autocorrelation. Ecol Model 200:33–44. https://doi.org/10.1016/j.ecolmodel.2006.07.007
Diarrassouba A, Gnagbo A, Kouakou YC, Campbell G, Tiedoué MR, Tondossama A, Kühl HS (2019) Koné I (2019) Differential response of seven duiker species to human activities in Taï National Park. Côte D’ivoire Afr J Ecol 00:1–11. https://doi.org/10.1111/aje.12680
Dong X, Chu Y, Gu X, Huang Q, Zhang J, Bai W (2019) Suitable habitat prediction of Sichuan snub-nosed monkeys (Rhinopithecus roxellana) and its implications for conservation in Baihe Nature Reserve, Sichuan, China. Environ Sci Pollut Res 26:32374–32384. https://doi.org/10.1007/s11356-019-06369-3
Eastmann RJ (2016) TerrSet habitat and biodiversity modeller manual. Clark Labs. https://clarklabs.org/wp-content/uploads/2020/05/Terrset-Manual.pdf
Elith J, Graham CH, Anderson RP et al (2006) Novel methods improve prediction of species’ distributions from occurrence data. Ecography 29:129–151. https://doi.org/10.1111/j.2006.0906-7590.04596
Elith J, Phillip SJ, Hastie T, Dudík M, Chee YE, Yates CJ (2011) A statistical explanation of MaxEnt for ecologists. Divers Distrib 17(1):43–57. https://doi.org/10.1111/j.1472-4642.2010.00725.x
Ferrier S (2002) Mapping spatial pattern in biodiversity for regional conservation planning: where to from here? Syst Biol 51:331–363
Fick SE, Hijmans RJ (2017) WorldClim 2: new 1km spatial resolution climate surfaces for global land areas. Int J Climatol 37(12):4302–4315. https://doi.org/10.1002/joc.5086
Gao T, Xu Q, Liu Y, Zhao J, Shi J (2021) Predicting the potential geographic distribution of Sirex nitobei in China under climate change using maximum entropy model. Forests 12:151. https://doi.org/10.3390/f12020151
Gaudreau J, Perez LID, Harati S (2018) Towards modelling future trends of Quebec’s boreal birds’ species distribution under climate change. Int J Geo-Inf 7:335. https://doi.org/10.3390/ijgi7090335
Groff LA, Marks SB, Hayes MP (2014) Using ecological niche models to direct rare amphibian surveys: a case study using the Oregon spotted frog (Rana pretiosa). Herpetol Conserv Biol 9:354–368
Hassan TA, Ismail OA (2017) Identification of vulture species around galagu station in Dinder national park February 2017. Biodivers Int J 1(6):72–75. https://doi.org/10.15406/bij.2017.01.00032
Heikkinen RK, Luoto M, Araújo MB, Virkkala R, Thuiller W, Sykes MT (2006) Methods and uncertainties in bioclimatic envelope modelling under climate change. Prog Phys Geogr 30(6):1–27. https://doi.org/10.1177/0309133306071957
Hernandez-Baz F, Romo H, Gonzalez JM, Hernandez MJM, Pastrana RG (2016) Maximum entropy niche-based modeling (Maxent) of potential geographical distribution of Coreura albicosta (Lepidoptera: Erebidae: Ctenuchina) in Mexico, Florida. Entomologist 99(3):376–380. https://doi.org/10.1653/024.099.0306
Herrero J, García-Serrano A, Couto S, Ortuño V, García-González R (2006) Diet of wild boar Sus scrofa L. and crop damage in an intensive agroecosystem. Eur J Wildl Res 52:245–250. https://doi.org/10.1007/s10344-006-0045-3
Hill JE, Kellner KF, Kluever BM, Avery ML, Humphrey JS, Tillman EA, DeVault TL, Belant JL (2021) Landscape transformations produce favorable roosting conditions for Turkey vultures and black vultures. Sci Rep 11:14793. https://doi.org/10.1038/s41598-021-94045-3
Hirzel AH, Le Laya G, Helfera V, Randina C, Guisan A (2006) Evaluating the ability of habitat suitability models to predict species presences. Ecol Model 99:142–152. https://doi.org/10.1016/j.ecolmodel.2006.05.017
Hosmer DW, Lemeshow S (2004) Applied logistic regression, 2nd edn. Wiley, New York
Ilanloo SS, Khani A, Kafash A, Valizadegan N, Ashrafi S, Loercher F, Ebrahimi E, Yousefi M (2020) Applying opportunistic observations to model current and future suitability of the Kopet Dagh Mountains for a Near Threatened avian scavenger. Avian Biol Res 14:18–26. https://doi.org/10.1177/1758155920962750
iNaturalist users, Ueda K (2020). iNaturalist research-grade observations. iNaturalist.org. Occurrence dataset. https://doi.org/10.15468/ab3s5x accessed via GBIF.org on 2020-10-23
ISFR (2021) India State of Forest Report. Forest Survey of India (MoEFCC), Dehradun, India.
IUCN (2021) IUCN red list of threatened species. https://www.iucnredlist.org/. Accessed 10 May 2021.
Jha KK, Jha R (2020) Habitat suitability mapping for migratory and resident vultures: a case of Indian stronghold and species distribution model. J Wildl Biodivers 4(3):91–111. https://doi.org/10.22120/jwb.2020.120246.1111
Jha R, Jha KK (2021) Habitat prediction modelling for vulture conservation in Gangetic Thar Deccan region of India. Environ Monit Assess 193(8):532. https://doi.org/10.1007/s10661-021-09323-4
Jha R, Jha KK (2023) Environmental factors shaping habitat suitability of Gyps vultures: climate change impact modelling for conservation in India. Ornithol Res. https://doi.org/10.1007/s43388-023-00124-6
Jha KK, Campbell MO, Jha R (2020) Vultures, their population status and some ecological aspects in an Indian stronghold. Notul Sci Biol 12(1):124–142. https://doi.org/10.15835/nsb12110547
Jha R, Kanaujia A, Jha KK (2022) Wintering habitat modelling for conservation of Eurasian vultures in northern India. Nova Geodesia 2(1):22. https://doi.org/10.55779/ng2122
Kaky E, Nolan V, Alatawi A, Gilbert F (2020) A comparison between Ensemble and MaxEnt species distribution modelling approaches for conservation: a case study with Egyptian medicinal plants. Ecol Inform 60:101150. https://doi.org/10.1016/j.ecoinf.2020.101150
Kazmi FA, Shafique F, Hassan MU, Khalid S, Ali N, Akbar N, Batool K, Khalid M, Khawajah S (2022) Ecological impacts of climate change on the snow leopard (Panthera unica) in South Asia. Braz J Biol 82:e240219. https://doi.org/10.1590/1519-6984.240219
Khosravi R, Hemami M-R, Malekian M, Flint AL, Flint LE (2016) Maxent modeling for predicting potential distribution of goitered gazelle in central Iran: the effect of extent and grain size on performance of the model. Turk J Zool 40:574–585
Kumar C, Kaleka AS, Thind SK (2020) Observations on breeding behaviour of a pair of endangered Egyptian Vultures Neophron percnopterus (Linnaeus, 1758) over three breeding seasons in the plains of Punjab, India. J Threat Taxa 12(9):16013–16020. https://doi.org/10.11609/jott.4539.12.9.16013-16020
Kumar S, Stohlgren TJ (2009) MaxEnt modeling for predicting suitable habitat for threatened and endangered tree Canacomyrica monticola in New Caledonia. J Ecol Nat Environ 1:94–98
Kupika OL, Gandiwa E, Kativu S, Nhamo G (2018) Impacts of climate change and climate variability on wildlife resources in Southern Africa: experience from selected protected areas in Zimbabwe. In: Sen B, Grillo O (eds) Selected studies in biodiversity. IntechOpen, London. https://doi.org/10.5772/intechopen.70470
Li X, Wang Y (2013) Applying various algorithms for species distribution modelling. Integr Zool 8:124–135. https://doi.org/10.1111/1749-4877.12000
Lobo JM, Jiménez-Valverde A, Real R (2008) AUC: a misleading measure of the performance of predictive distribution models. Glob Ecol Biogeogr 17:145–151. https://doi.org/10.1111/j.1466-8238.2007.00358.x
Midgley GF, Bond WJ (2015) Future of African terrestrial biodiversity and ecosystems under anthropogenic climate change. Nat Clim Chang 5:823–829
MoEFCC (2020) Action Plan for Vulture Conservation in India, 2020–2025. Ministry of Environment, Forest and Climate Change Government of India, New Delhi
Mohammadi S, Ebrahimi E, Shahriari MM, Bosso L (2019) Modelling current and future potential distributions of two desert jerboas under climate change in Iran. Ecol Inf 52:7–13. https://doi.org/10.1016/j.ecoinf.2019.04.003
Morales NS, Fernández IC, Baca-González V (2017) MaxEnt’s parameter configuration and small samples: are we paying attention to recommendations? A systematic review. PeerJ 5:e3093. https://doi.org/10.7717/peerj.3093
Mori GM, Castillo EB, Guzmán CT, Sánchez DAC, Valqui BKG, Oliva M, Bandopadhyay S, López RS, Briceño NBR (2020) Predictive modelling of current and future potential distribution of the spectacled bear (Tremarctos ornatus) in Amazonas, Northeast Peru. Animals 10:1816. https://doi.org/10.3390/ani10101816
Mushtaq S, Reshi ZA, Shah MA, Charles B (2021) Modelled distribution of an invasive alien plant species differs at different spatiotemporal scales under changing climate: a case study of Parthenium hysterophorus L. Trop Ecol 62:398–417. https://doi.org/10.1007/s42965-020-00135-0
Ogada DL, Keesing F, Virani MZ (2011) Dropping dead: causes and consequences of vulture population declines worldwide. Ann N Y Acad Sci. https://doi.org/10.1111/j.1749-6632.2011.06293.x
Passadore C, Möller LM, Diaz-Aguirre F, Parra GJ (2018) Modelling dolphin distribution to inform future spatial conservation decisions in a marine protected area. Sci Rep 8:15659. https://doi.org/10.1038/s41598-018-34095-2
Patasaraiya MK, Devi RM, Sinha B, Bisaria J, Saran S, Jaiswal R (2021) Understanding the resilience of sal and teak forests to climate variability using NDVI and EVI time series. For Sci 67(2):192–204. https://doi.org/10.1093/forsci/fxaa051
Phillips SJ, Anderson RP, Schapire RE (2006) Maximum entropy modelling of species geographic distribution. Ecol Model 190:231–259. https://doi.org/10.1016/j.ecolmodel.2005.03.026
Phipps WL, Diekmannb M, MacTavishc LM, Mendelsohnd JM, Naidoo V, Wolter K, Yarnell RW (2017) Due south: a first assessment of the potential impacts of climate change on Cape vulture occurrence. Biol Cons 210:16–25. https://doi.org/10.1016/j.biocon.2017.03.028
Prakash V, Galligan TH, Chakraborty SS, Dave R, Kulkarni MD, Prakash N, Shringarpure RN, Ranade SP, Green RE (2017) Recent changes in populations of critically endangered Gyps vultures in India. Bird Conserv Int 29(1):55–70. https://doi.org/10.1017/S0959270917000545
Preston KL, Rotenberry JT, Redak RA, Michael F, Allen MF (2008) Habitat shifts of endangered species under altered climate conditions: importance of biotic interactions. Global Chang Biol 14:2501–2515. https://doi.org/10.1111/j.1365-2486.2008.01671.x
Ramesh T, Sankar K, Qureshi Q (2011) Status of vultures in Mudumalai Tiger Reserve, Western Ghats, India. Forktail 27:96–97
Ravindranath NH, Joshi NV, Sukumar R, Saxena A (2006) Impact of climate change on forest in India. Curr Sci 90(3):354–361
Saenz-Jimenez F, Rojas-Soto O, Perez-Torres J, Martinez-Meyer E, Sheppard JK (2020) Effects of climate change and human influence in the distribution and range overlap between two widely distributed avian scavengers. Bird Conserv Int 31(1):77–95. https://doi.org/10.1017/S0959270920000271
Santini L, Benítez-López A, Maiorano L, Čengić M, Huijbregts MAJ (2021) Assessing the reliability of species distribution projections in climate change research. Divers Distrib 27:1035–1050. https://doi.org/10.1111/ddi.13252
Schmitt S, Pouteau R, Justeau D, de Boisseu F, Birnbaum P (2017) SSDM: an R package to predict distribution of species richness and composition based on stacked species distribution models. Methods Ecol Evol 8:1795–1803. https://doi.org/10.1111/2041-210X.12841
Schultz P (2007) Does bush encroachment impact foraging success of the critically endangered Namibian Population of the Cape Vulture Gyps coprotheres? University of Cape Town. http://hdl.handle.net/20.500.11892/49885
Sharma PD (2005) Ecology and environment. Rastogi Publications, Meerut
Sinha A, Kumar A, Kanaujia A (2017) Red-Headed vulture: a solitary scavenger. Int J Recent Sci Res 8(7):18737–18741
Subedi TR, Virani MZ, Gurung S, Buij R, Baral HS, Buechley ER, Anadón JD, Sah SAM (2018) Estimation of population density of bearded vultures using line-transect distance sampling and identification of perceived threats in the Annapurna Himalaya range of Nepal. J Rapt Res 52(4):443–453. https://doi.org/10.3356/JRR-18-25.1
Sullivan BL, Wood CL, Iliff MJ, Bonney RE, Fink D, Kelling S (2009) eBird: a citizen-based bird observation network in the biological sciences. Biol Conserv 142:2282–2292. https://doi.org/10.1016/j.biocon.2009.05.006
Thakur ML, Narang SK (2012) Population status and habitat-use pattern of Indian whitebacked Vulture (Gyps bengalensis) in Himachal Pradesh, India. J Ecol Nat Environ 4(7):173-180.
Thapa S, Baral S, Hu Y, Huang Z, Yue Y, Dhakal M, Jnawali SR, Chettri N, Racey PA, Yu W, Wu Y (2021) Will climate change impact distribution of bats in Nepal Himalayas? Glob Ecol Conserv 26:e01483. https://doi.org/10.1016/j.gecco.2021.e01483
USGS EROS (2018) Shuttle radar topography mission 1 arc-second global. https://doi.org/10.5066/F7PR7TFT
Veloz SD (2009) Spatially autocorrelated sampling falsely inflates measures of accuracy for presence-only niche models. J Biogeogr 36:2290–2299
Virani MZ, Monadjem A, Thomsett S, Kendall C (2012) Seasonal variation in breeding Ruppell’s Vultures Gyps rueppellii at Kwenia, southern Kenya and implications for conservation. Bird Conserv Int 22:260–269
Wisz MS, Hijmans RJ, Li J, Peterson AT, Graham CH, Guisan A, NCEAS PSDWG (2008) Effects of sample size on the performance of species distribution models. Divers Distrib 14:763–773. https://doi.org/10.1111/j.1472-4642.2008.00482.x
Zeng Q, Zhang Y, Sun G, Duo H, Wen L, Lei G (2015) Using species distribution model to estimate the wintering population size of the endangered scaly-sided merganser in China. PLoS ONE 10(2):e0117307. https://doi.org/10.1371/journal.pone.0117307
Zhang J, Jiang F, Li G, Qin W, Li S, Gao H, Cai Z, Lin G, Zhang T (2019a) Maxent modeling for predicting the spatial distribution of three raptors in the Sanjiangyuan National Park, China. Ecol Evol 9:6643–6654. https://doi.org/10.1002/ece3.5243
Zhang K, Zhang Y, Tao J (2019b) Predicting the potential distribution of Paeonia veitchii (Paeoniaceae) in China by incorporating climate change into a Maxent model. Forests 10:190. https://doi.org/10.3390/f10020190
Zhang K, Zhang Y, Jia D, Tao J (2020) Species distribution modeling of Sassafras tzumu and implications for forest management. Sustainability 12:4132. https://doi.org/10.3390/su12104132
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Jha, R., Jha, K.K. Prediction of habitat suitability dynamics and environmental factors of non-Gyps vultures for conservation in floristic landscapes of India. Landscape Ecol Eng 20, 19–31 (2024). https://doi.org/10.1007/s11355-023-00575-5
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DOI: https://doi.org/10.1007/s11355-023-00575-5