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Multi-scale niche modeling of three sympatric felids of conservation importance in central Iran

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Abstract

Context

Carnivores in the central Iranian plateau have experienced considerable declines in their populations during the last century. Ecological niche models can inform conservation efforts aimed at increasing the suitability of carnivore habitat by providing valuable information on the scale-dependent relationships between species and their environment.

Objectives

We used a multiscale modeling framework to predict habitat suitability and investigate the influence of spatial scale on species-environment relationships for three sympatric felids, chosen as surrogate species, including Asiatic cheetah (Acynonix jubatus), Persian leopard (Panthera pardus), and sand cat (Felis margarita) with the aim of informing conservation efforts for these species and other Iranian carnivores more widely.

Methods

We used opportunistically collected occurrence data and a presence-only, multiscale MaxEnt approach whilst exploring the impact of spatial filtering and data partitioning on model predictions and performance.

Results

Scaling optimization showed that the performance of models was associated with variables at multiple spatial scales, with relationships tending to be strongest at the largest scales (4–8 km). Our findings showed that landscape composition generally have stronger influences on occurrence of the studied species than configuration. The comparison among models showed distinct patterns of habitat selection, implying niche partitioning between species.

Conclusions

Our knowledge of scale-dependent relationships between three sympatric felids and their spatial niches facilitates effective conservation of habitat connectivity for multiple carnivore species by prioritizing predicted key suitable patches inside and outside of protected areas which have significant contribution in maintaining landscape connectivity in Iran.

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References

  • Ahmadi M, Nezami Balouchi B, Jowkar H, Hemami MR, Fadakar D, Malakouti-Khah S, Ostrowski S (2017) Combining landscape suitability and habitat connectivity to conserve the last surviving population of cheetah in Asia. Divers Distrib 23(6):592–603

    Article  Google Scholar 

  • Barbet-Massin M, Jiguet F, Albert CH, Thuiller W (2012) Selecting pseudo-absences for species distribution models: how, where and how many? Methods Ecol Evol 3(2):327–338

    Article  Google Scholar 

  • Bellamy C, Scott C, Altringham J (2013) Multiscale, presence-only habitat suitability models: fine-resolution maps for eight bat species. J Appl Ecol 50(4):892–901

    Article  Google Scholar 

  • Bellamy CC, van der Jagt AP, Barbour S, Smith M, Moseley D (2017) A spatial framework for targeting urban planning for pollinators and people with local stakeholders: a route to healthy, blossoming communities? Environ Res 158:255–268

    Article  CAS  PubMed  Google Scholar 

  • Boria RA, Olson LE, Goodman SM, Anderson RP (2014) Spatial filtering to reduce sampling bias can improve the performance of ecological niche models. Ecol Model 275:73–77

    Article  Google Scholar 

  • Bowman A, Azzalini A (2015) package ‘sm’: nonparametric smoothing methods (version 2.2-5.4). 2014

  • Brown JL (2014) SDMtoolbox: a python-based GIS toolkit for landscape genetic, biogeographic and species distribution model analyses. Methods Ecol Evol 5(7):694–700

    Article  Google Scholar 

  • Caro T (2010) Conservation by proxy: indicator, umbrella, keystone, flagship, and other surrogate species. Island Press

  • Coetzee BW (2017) Evaluating the ecological performance of protected areas. Biodivers Conserv 26(1):231–236

    Article  Google Scholar 

  • Cohen J (1960) A coefficient of agreement for nominal scales. Educ Psychol Measur 20(1):37–46

    Article  Google Scholar 

  • Cohen J (1968) Weighted kappa: nominal scale agreement provision for scaled disagreement or partial credit. Psychol Bull 70(4):213

    Article  CAS  PubMed  Google Scholar 

  • Cushman SA, Elliot NB, Bauer D, Kesch K, Bothwell H, Flyman M, Mtare G, Macdonald DW, Loveridge AJ (2018) Prioritizing core areas, corridors and conflict hotspots for lion conservation in southern Africa. PloS one 13(7):e0196213

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Di Minin E, Hunter LT, Balme GA, Smith RJ, Goodman PS, Slotow R (2013) Creating larger and better connected protected areas enhances the persistence of big game species in the Maputaland-Pondoland-Albany biodiversity hotspot. PLoS ONE 8(8):e71788

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Dröge E, Creel S, Becker MS, M’soka J (2017) Spatial and temporal avoidance of risk within a large carnivore guild. Ecol Evol 7(1):189–199

    Article  PubMed  Google Scholar 

  • Durant SM, Craft ME, Foley C, Hampson K, Lobora AL, Msuha M, Eblate E, Bukombe J, Mchetto J, Pettorelli N (2010) Does size matter? An investigation of habitat use across a carnivore assemblage in the Serengeti, Tanzania. J Anim Ecol 79(5):1012–1022

    Article  PubMed  PubMed Central  Google Scholar 

  • Evans J, Oakleaf J, Cushman S, Theobald D (2014) An ArcGIS toolbox for surface gradient and geomorphometric modeling, version 2.0-0. Laramie, WY. http://evansmurphy.wix.com/evansspatial

  • Fahrig L (2003) Effects of habitat fragmentation on biodiversity. Annu Rev Ecol Evol Syst 34(1):487–515

    Article  Google Scholar 

  • Farhadinia MS, Ahmadi M, Sharbafi E, Khosravi S, Alinezhad H, Macdonald DW (2015) Leveraging trans-boundary conservation partnerships: persistence of Persian leopard (Panthera pardus saxicolor) in the Iranian Caucasus. Biol Conserv 191:770–778

    Article  Google Scholar 

  • Farhadinia M, Hemami M-R (2010) Prey selection by the critically endangered Asiatic cheetah in central Iran. J Nat Hist 44(19–20):1239–1249

    Article  Google Scholar 

  • Flather CH, Bevers M (2002) Patchy reaction-diffusion and population abundance: the relative importance of habitat amount and arrangement. Am Nat 159(1):40–56

    Article  PubMed  Google Scholar 

  • Flint LE, Flint AL (2012) Downscaling future climate scenarios to fine scales for hydrologic and ecological modeling and analysis. Ecol Process 1(1):2

    Article  Google Scholar 

  • Fourcade Y, Engler JO, Rödder D, Secondi J (2014) Mapping species distributions with MAXENT using a geographically biased sample of presence data: a performance assessment of methods for correcting sampling bias. PLoS ONE 9(5):e97122

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Gábor L, Moudrý V, Barták V, Lecours V (2019) How do species and data characteristics affect species distribution models and when to use environmental filtering? Int J Geogr Inf Sci. https://doi.org/10.1080/13658816.2019.1615070

    Article  Google Scholar 

  • Hayward M, Henschel P, O’brien J, Hofmeyr M, Balme G, Kerley G (2006) Prey preferences of the leopard (Panthera pardus). J Zool 270(2):298–313

    Article  Google Scholar 

  • Hearn AJ, Cushman SA, Ross J, Goossens B, Hunter LT, Macdonald DW (2018) Spatio-temporal ecology of sympatric felids on Borneo. Evidence for resource partitioning? PloS ONE 13(7):e0200828

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Hemami M-R, Esmaeili S, Brito JC, Ahmadi M, Omidi M, Martínez-Freiría F (2018) Using ecological models to explore niche partitioning within a guild of desert felids. Hystrix Ital J Mammal 29(2):216–222

    Google Scholar 

  • Hemami M, Groves C (2001) Global antelope survey and regional action plans: Iran. In: Mallon D, Kingswood S (eds) Antelopes: Part 4 North Africa. The Middle East and Asia. Switzerland and Cambridge: IUCN, pp  114–118

  • Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A (2005) Very high resolution interpolated climate surfaces for global land areas. Int J Climatol 25(15):1965–1978

    Article  Google Scholar 

  • Hijmans RJ, Phillips S, Leathwick J, Elith J, Hijmans MRJ (2016) Package ‘dismo’. Circles, 1

  • Holland JD, Bert DG, Fahrig L (2004) Determining the spatial scale of species’ response to habitat. AIBS Bull 54(3):227–233

    Google Scholar 

  • Huang Q, Fleming CH, Robb B, Lothspeich A, Songer M (2018) How different are species distribution model predictions?—Application of a new measure of dissimilarity and level of significance to giant panda Ailuropoda melanoleuca. Ecol Inform 46:114–124

    Article  Google Scholar 

  • Jueterbock A (2015) ‘MaxentVariableSelection’vignette

  • Khalatbari L, Yusefi GH, Martínez-Freiría F, Jowkar H, Brito JC (2018) Availability of prey and natural habitats are related with temporal dynamics in range and habitat suitability for Asiatic Cheetah. Hystrix Ital J Mammal 29(1):145–151

    Google Scholar 

  • Khosravi R, Hemami M-R (2019) Identifying landscape species for ecological planning. Ecol Ind 99:140–148

    Article  Google Scholar 

  • Khosravi R, Hemami MR, Cushman SA (2018) Multispecies assessment of core areas and connectivity of desert carnivores in central Iran. Divers Distrib 24(2):193–207

    Article  Google Scholar 

  • Khosravi R, Hemami MR, Malekian M, Flint A, Flint L (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(4):574–585

    Article  CAS  Google Scholar 

  • Kittle AM, Watson AC, Cushman SA, Macdonald DW (2018) Forest cover and level of protection influence the island-wide distribution of an apex carnivore and umbrella species, the Sri Lankan leopard (Panthera pardus kotiya). Biodivers Conserv 27(1):235–263

    Article  Google Scholar 

  • Kramer-Schadt S, Niedballa J, Pilgrim JD, Schröder B, Lindenborn J, Reinfelder V, Stillfried M, Heckmann I, Scharf AK, Augeri DM (2013) The importance of correcting for sampling bias in MaxEnt species distribution models. Divers Distrib 19(11):1366–1379

    Article  Google Scholar 

  • Liu C, White M, Newell G (2013) Selecting thresholds for the prediction of species occurrence with presence-only data. J Biogeogr 40(4):778–789

    Article  Google Scholar 

  • Mateo Sanchez MC, Cushman SA, Saura S (2013) Scale dependence in habitat selection: the case of the endangered brown bear (Ursus arctos) in the Cantabrian Range (NW Spain). Int J Geogr Inf Sci 28(8):1531–1546

    Article  Google Scholar 

  • McGarigal K, Cushman S, Ene E (2012) FRAGSTATS v4: spatial pattern analysis program for categorical and continuous maps. University of Massachusetts, Amherst, Massachusetts, USA. www.goo.gl/aAEbMk

  • McGarigal K, Wan HY, Zeller KA, Timm BC, Cushman SA (2016a) Multi-scale habitat selection modeling: a review and outlook. Landscape Ecol 31(6):1161–1175

    Article  Google Scholar 

  • McGarigal K, Zeller KA, Cushman SA (2016b) Multi-scale habitat selection modeling: introduction to the special issue. Landscape Ecol 31(6):1157–1160

    Article  Google Scholar 

  • Phillips SJ, Anderson RP, Schapire RE (2006) Maximum entropy modeling of species geographic distributions. Ecol Model 190(3–4):231–259

    Article  Google Scholar 

  • Rabinowitz A, Zeller KA (2010) A range-wide model of landscape connectivity and conservation for the jaguar, Panthera onca. Biol Conserv 143(4):939–945

    Article  Google Scholar 

  • Radosavljevic A, Anderson RP (2014) Making better Maxent models of species distributions: complexity, overfitting and evaluation. J Biogeogr 41(4):629–643

    Article  Google Scholar 

  • Redding DW, Lucas TC, Blackburn TM, Jones KE (2017) Evaluating Bayesian spatial methods for modelling species distributions with clumped and restricted occurrence data. PLoS ONE 12(11):e0187602

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Reddy PA, Cushman SA, Srivastava A, Sarkar MS, Shivaji S (2017) Tiger abundance and gene flow in Central India are driven by disparate combinations of topography and land cover. Divers Distrib 23(8):863–874

    Article  Google Scholar 

  • Sauder JD, Rachlow JL (2014) Both forest composition and configuration influence landscape-scale habitat selection by fishers (Pekania pennanti) in mixed coniferous forests of the Northern Rocky Mountains. For Ecol Manage 314:75–84

    Article  Google Scholar 

  • Shahnaseri G, Hemami M-R, Khosravi R, Malakoutikhah S, Omidi M, Cushman SA (2019) Contrasting use of habitat, landscape elements, and corridors by grey wolf and golden jackal in central Iran. Landscape Ecol 34:1263–1277

    Article  Google Scholar 

  • Shirk AJ, Raphael MG, Cushman SA (2014) Spatiotemporal variation in resource selection: insights from the American marten (Martes americana). Ecol Appl 24(6):1434–1444

    Article  PubMed  Google Scholar 

  • Shirk AJ, Wasserman TN, Cushman SA, Raphael MG (2012) Scale dependency of American marten (Martes americana) habitat relations [Chapter 12]. In: Aubry KB, Zielinski WJ, Raphael MG, Proulx G, Buskirk SW (eds) Biology and conservation of martens, sables, and fishers: a new synthesis. Cornell University Press, Ithaca, pp 269–283

    Google Scholar 

  • Syfert MM, Smith MJ, Coomes DA (2013) The effects of sampling bias and model complexity on the predictive performance of MaxEnt species distribution models. PLoS ONE 8(2):e55158

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Vergara M, Cushman SA, Urra F, Ruiz-González A (2016) Shaken but not stirred: multiscale habitat suitability modeling of sympatric marten species (Martes martes and Martes foina) in the northern Iberian Peninsula. Landscape Ecol 31(6):1241–1260

    Article  Google Scholar 

  • Villard MA, Metzger JP (2014) Beyond the fragmentation debate: a conceptual model to predict when habitat configuration really matters. J Appl Ecol 51(2):309–318

    Article  Google Scholar 

  • Wan JZ, Wang CJ, Tan JF, Yu FH (2017) Climatic niche divergence and habitat suitability of eight alien invasive weeds in China under climate change. Ecol Evol 7(5):1541–1552

    Article  PubMed  PubMed Central  Google Scholar 

  • Warren DL, Glor RE, Turelli M (2010) ENMTools: a toolbox for comparative studies of environmental niche models. Ecography 33(3):607–611

    Google Scholar 

  • Wasserman TN, Cushman SA, Wallin DO (2012) Multi scale habitat relationships of Martes americana in northern Idaho, USA. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Fort Collins, p 21

    Book  Google Scholar 

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Acknowledgements

We are grateful to Isfahan and Yazd provincial DOE for permission to enter to PAs. Also, we are extremely grateful for the support from the Isfahan University of Technology. This research was financially supported by a postdoctoral scholarship from the Iran's National Elites Foundation.

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Correspondence to Mahmoud-Reza Hemami.

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Khosravi, R., Hemami, MR. & Cushman, S.A. Multi-scale niche modeling of three sympatric felids of conservation importance in central Iran. Landscape Ecol 34, 2451–2467 (2019). https://doi.org/10.1007/s10980-019-00900-0

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