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A Synthesis of Long-Term Environmental Change in Santa Rosa, Costa Rica

  • Fernando A. Campos
Chapter
Part of the Developments in Primatology: Progress and Prospects book series (DIPR)

Abstract

Long-term monitoring is an essential component of primate conservation, and much of this research is explicitly concerned with how primates respond to and cope with diverse forms of environmental change. Here, I synthesize over four decades of data on environmental change in the Santa Rosa sector the Costa Rica’s Área de Conservación Guanacaste, to stimulate new research on the impacts of environmental change beyond seasonality on Santa Rosa’s primates. Focusing on climate variables and landscape-scale vegetation phenology, I describe and quantify typical seasonal patterns, interannual variability, and long-term trends. Santa Rosa’s highly seasonal rainfall patterns show marked interannual variability that is largely driven by the El Niño Southern Oscillation (ENSO). The wettest and driest periods on record have occurred in association with powerful cold ENSO episodes (La Niña) and warm ENSO episodes (El Niño), respectively. Start dates for the wet season can vary by 40 days, but no long-term linear trend was evident in the wet season start dates or in total annual rainfall. Temperature anomalies in Santa Rosa are also strongly associated with ENSO conditions over a backdrop of long-term warming. The annual cycle of plant phenology is dominated by large-scale leaf shedding during the long dry season. The timing and degree of seasonal phenological peaks show complex relationships with rainfall. Long-term data, in combination with the site’s natural environmental variability, provide uniquely quantitative context for understanding primate adaptations to changing environments – a framework that can be extended to ecological forecasting under future environmental change.

Keywords

Climate change Weather Seasonality Landscape Habitat 

Notes

Acknowledgements

This chapter grew out of many discussions with Linda Fedigan and her students and collaborators, past and present, about the important role that climate plays in the behaviour, health, and survival of many organisms, including primates. I was motivated to compile this long-term record of environmental change in Santa Rosa by a growing recognition of our planet’s changing climate and a sense of unease about how these changes will affect its biological systems. I thank Linda for introducing me to this glorious corner of northwestern Costa Rica and for her wonderful mentorship and support.

Jeff Klemens and Maria Marta helped to compile the weather data prior to 2006 that were used in this study. Many students and field assistants contributed to the daily weather measurements after 2006. I thank Roger Blanco Segura and the Costa Rican Park Service for their ongoing support and permission to carry out research in the ACG. Richard Corlett, Urs Kalbitzer, and two anonymous reviewers provided very helpful feedback that improved the manuscript. Finally, I thank the organizers of the Fedigan Festschrift for their hard work in editing and assembling this volume and for bringing us together for a terrific conference in Banff to honour Linda’s distinguished career.

References

  1. Aceituno P (1988) On the functioning of the Southern Oscillation in the South American sector. Part I: surface climate. Mon Weather Rev 116:505–524. https://doi.org/10.1175/1520-0493(1988)116<0505:OTFOTS>2.0.CO;2CrossRefGoogle Scholar
  2. Alberts SC, Altmann J (2012) The Amboseli Baboon Research Project: 40 years of continuity and change. In: Kappeler PM, Watts DP (eds) Long-term field studies of primates. Springer, Berlin, pp 261–287CrossRefGoogle Scholar
  3. Alberts SC, Hollister-Smith JA, Mututua RS et al (2005) Seasonality and long-term change in a savanna environment. In: Brockman DK, van Schaik CP (eds) Seasonality in Primates: studies of living and extinct human and non-human Primates. Cambridge University Press, New York, pp 157–195CrossRefGoogle Scholar
  4. Allen K, Dupuy JM, Gei MG et al (2017) Will seasonally dry tropical forests be sensitive or resistant to future changes in rainfall regimes? Environ Res Lett 12:023001. https://doi.org/10.1088/1748-9326/aa5968 CrossRefGoogle Scholar
  5. Arroyo-Mora JP, Sanchez-Azofeifa GA, Kalacska MER et al (2005) Secondary forest detection in a neotropical dry forest landscape using Landsat 7 ETM+ and IKONOS imagery. Biotropica 37:497–507. https://doi.org/10.1111/j.1744-7429.2005.00068.x CrossRefGoogle Scholar
  6. Beever EA, Hall LE, Varner J et al (2017) Behavioral flexibility as a mechanism for coping with climate change. Front Ecol Environ. https://doi.org/10.1002/fee.1502
  7. Beguería S, Latorre B, Reig F, Vicente-Serrano SM (2017) SPEI Global Drought Monitor. http://spei.csic.es/map/maps.html. Accessed 20 Nov 2017
  8. Blois JL, Williams JW, Fitzpatrick MC et al (2013) Space can substitute for time in predicting climate-change effects on biodiversity. Proc Natl Acad Sci 110:9374–9379. https://doi.org/10.1073/pnas.1220228110 CrossRefPubMedGoogle Scholar
  9. Borchert R (1998) Responses of tropical trees to rainfall seasonality and its long-term changes. Clim Chang 39:381–393. https://doi.org/10.1023/A:1005383020063 CrossRefGoogle Scholar
  10. Boyd DS, Danson FM (2005) Satellite remote sensing of forest resources: three decades of research development. Prog Phys Geogr 29:1–26. https://doi.org/10.1191/0309133305pp432ra CrossRefGoogle Scholar
  11. Brockman DK, van Schaik CP (eds) (2005) Seasonality in Primates: studies of living and extinct human and non-human Primates. Cambridge University Press, New YorkGoogle Scholar
  12. Bronikowski AM, Altmann J (1996) Foraging in a variable environment: weather patterns and the behavioral ecology of baboons. Behav Ecol Sociobiol 39:11–25. https://doi.org/10.1007/s002650050262 CrossRefGoogle Scholar
  13. Campos FA, Fedigan LM (2014) Spatial ecology of perceived predation risk and vigilance behavior in white-faced capuchins. Behav Ecol 25:477–486. https://doi.org/10.1093/beheco/aru005 CrossRefGoogle Scholar
  14. Campos FA, Bergstrom ML, Childers A et al (2014) Drivers of home range characteristics across spatiotemporal scales in a Neotropical primate, Cebus capucinus. Anim Behav 91:93–109. https://doi.org/10.1016/j.anbehav.2014.03.007 CrossRefGoogle Scholar
  15. Campos FA, Jack KM, Fedigan LM (2015) Climate oscillations and conservation measures regulate white-faced capuchin population growth and demography in a regenerating tropical dry forest in Costa Rica. Biol Conserv 186:204–213. https://doi.org/10.1016/j.biocon.2015.03.017 CrossRefGoogle Scholar
  16. Campos FA, Morris WF, Alberts SC et al (2017) Does climate variability influence the demography of wild primates? Evidence from long-term life-history data in seven species. Glob Change Biol 23:4907. https://doi.org/10.1111/gcb.13754 CrossRefGoogle Scholar
  17. Chapman CA (1988) Patterns of foraging and range use by three species of neotropical primates. Primates 29:177–194. https://doi.org/10.1007/BF02381121 CrossRefGoogle Scholar
  18. Chapman CA (1990) Association patterns of spider monkeys: the influence of ecology and sex on social organization. Behav Ecol Sociobiol 26:409–414. https://doi.org/10.1007/BF00170898 CrossRefGoogle Scholar
  19. Chapman CA, Struhsaker TT, Skorupa JP et al (2010) Understanding long-term primate community dynamics: implications of forest change. Ecol Appl 20:179–191. https://doi.org/10.1890/09-0128.1 CrossRefPubMedGoogle Scholar
  20. Charnov EL, Berrigan D (1993) Why do female primates have such long lifespans and so few babies? or life in the slow lane. Evol Anthropol Issues News Rev 1:191–194. https://doi.org/10.1002/evan.1360010604 CrossRefGoogle Scholar
  21. Chavez FP, Ryan J, Lluch-Cota SE, Niquen CM (2003) From anchovies to sardines and back: multidecadal change in the Pacific Ocean. Science 299:217–221. https://doi.org/10.1126/science.1075880 CrossRefPubMedGoogle Scholar
  22. DeGama-Blanchet HN, Fedigan LM (2006) The effects of forest fragment age, isolation, size, habitat type, and water availability on monkey density in a tropical dry forest. In: Estrada A, Garber PA, Pavelka MSM, Luecke L (eds) Adaptive radiations of Neotropical Primates. Springer, New York, pp 165–188Google Scholar
  23. Didan K (2015a) MOD13Q1 MODIS/Terra Vegetation Indices 16-Day L3 Global 250m SIN Grid V006Google Scholar
  24. Didan K (2015b) MYD13Q1 MODIS/Aqua Vegetation Indices 16-Day L3 Global 250m SIN Grid V006Google Scholar
  25. Drake JB, Dubayah RO, Clark DB et al (2002) Estimation of tropical forest structural characteristics using large-footprint lidar. Remote Sens Environ 79:305–319CrossRefGoogle Scholar
  26. Enquist BJ, Enquist CAF (2011) Long-term change within a Neotropical forest: assessing differential functional and floristic responses to disturbance and drought. Glob Change Biol 17:1408–1424. https://doi.org/10.1111/j.1365-2486.2010.02326.x CrossRefGoogle Scholar
  27. Estrada A, Garber PA, Rylands AB et al (2017) Impending extinction crisis of the world’s primates: why primates matter. Sci Adv 3:e1600946. https://doi.org/10.1126/sciadv.1600946 CrossRefPubMedPubMedCentralGoogle Scholar
  28. Fedigan LM (1986) Demographic trends in the Alouatta palliata and Cebus capucinus populations in Santa Rosa Park, Costa Rica. In: Else J, Lee P (eds) Primate ecology and conservation. Cambridge University Press, Cambridge, pp 285–293Google Scholar
  29. Fedigan LM, Jack KM (2001) Neotropical primates in a regenerating Costa Rican dry forest: a comparison of howler and capuchin population patterns. Int J Primatol 22:689–713. https://doi.org/10.1023/A:1012092115012 CrossRefGoogle Scholar
  30. Fedigan LM, Jack KM (2012) Tracking Neotropical monkeys in Santa Rosa: lessons from a regenerating tropical dry forest. In: Kappeler P, Watts D (eds) Long-term field studies of Primates. Springer, Heidelberg, pp 165–184CrossRefGoogle Scholar
  31. Fedigan LM, Fedigan L, Chapman CA (1985) A census of Alouatta palliata and Cebus capucinus monkeys in Santa Rosa National Park. Costa Rica Brenesia 23:309–322Google Scholar
  32. Fedigan LM, Rose LM, Avila RM (1996) See how they grow: tracking capuchin monkey (Cebus capucinus) populations in a regenerating Costa Rican dry forest. In: Norconk M, Rosenberger A, Garber PA (eds) Adaptive radiations of Neotropical Primates. Plenum Press, New York, pp 289–307CrossRefGoogle Scholar
  33. Fedigan LM, Rose LM, Avila RM (1998) Growth of mantled howler groups in a regenerating Costa Rican dry forest. Int J Primatol 19:405–432. https://doi.org/10.1023/A:1020304304558 CrossRefGoogle Scholar
  34. Fedigan LM, Carnegie SD, Jack KM (2008) Predictors of reproductive success in female white-faced capuchins (Cebus capucinus). Am J Phys Anthropol 137:82–90. https://doi.org/10.1002/ajpa.20848 CrossRefPubMedGoogle Scholar
  35. Feng X, Porporato A, Rodriguez-Iturbe I (2013) Changes in rainfall seasonality in the tropics. Nat Clim Chang 3:811–815. https://doi.org/10.1038/nclimate1907 CrossRefGoogle Scholar
  36. Fick SE, Hijmans RJ (2017) WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas. Int J Climatol 37(12):4302–4315. https://doi.org/10.1002/joc.5086 CrossRefGoogle Scholar
  37. Fukami T, Wardle DA (2005) Long-term ecological dynamics: reciprocal insights from natural and anthropogenic gradients. Proc R Soc Lond B Biol Sci 272:2105–2115. https://doi.org/10.1098/rspb.2005.3277 CrossRefGoogle Scholar
  38. Gillson L, Dawson TP, Jack S, McGeoch MA (2013) Accommodating climate change contingencies in conservation strategy. Trends Ecol Evol 28:135–142. https://doi.org/10.1016/j.tree.2012.10.008 CrossRefPubMedGoogle Scholar
  39. Graham TL, Matthews HD, Turner SE (2016) A global-scale evaluation of primate exposure and vulnerability to climate change. Int J Primatol 37:158–174. https://doi.org/10.1007/s10764-016-9890-4 CrossRefGoogle Scholar
  40. Hannah L, Midgley GF, Millar D (2002) Climate change-integrated conservation strategies. Glob Ecol Biogeogr 11:485–495. https://doi.org/10.1046/j.1466-822X.2002.00306.x CrossRefGoogle Scholar
  41. Hansen J, Ruedy R, Sato M, Lo K (2010) Global surface temperature change. Rev Geophys 48:RG4004. https://doi.org/10.1029/2010RG000345 CrossRefGoogle Scholar
  42. Heller NE, Zavaleta ES (2009) Biodiversity management in the face of climate change: a review of 22 years of recommendations. Biol Conserv 142:14–32. https://doi.org/10.1016/j.biocon.2008.10.006 CrossRefGoogle Scholar
  43. Janzen DH (1987) How to grow a tropical national park: basic philosophy for Guanacaste National Park, northwestern Costa Rica. Experientia 43:1037–1038. https://doi.org/10.1007/BF01952233 CrossRefGoogle Scholar
  44. Janzen DH (1988) Management of habitat fragments in a tropical dry forest: growth. Ann Mo Bot Gard 75:105–116. https://doi.org/10.2307/2399468 CrossRefGoogle Scholar
  45. Janzen DH (2000) Costa Rica’s Área de Conservación Guanacaste: a long march to survival through non-damaging biodevelopment. Biodiversity 1:7–20. https://doi.org/10.1080/14888386.2000.9712501 CrossRefGoogle Scholar
  46. Janzen DH, Hallwachs W (2016) Biodiversity conservation history and future in Costa Rica: the case of Área de Conservación Guanacaste (ACG). In: Kappelle M (ed) Costa Rican Ecosystems. University of Chicago Press, Chicago, pp 290–341CrossRefGoogle Scholar
  47. Jones JH (2011) Primates and the evolution of long, slow life histories. Curr Biol 21:R708–R717. https://doi.org/10.1016/j.cub.2011.08.025 CrossRefPubMedPubMedCentralGoogle Scholar
  48. Kalacska M, Sanchez-Azofeifa GA, Calvo-Alvarado JC et al (2004) Species composition, similarity and diversity in three successional stages of a seasonally dry tropical forest. For Ecol Manag 200:227–247. https://doi.org/10.1016/j.foreco.2004.07.001 CrossRefGoogle Scholar
  49. Kalacska M, Sanchez-Azofeifa GA, Rivard B et al (2007) Ecological fingerprinting of ecosystem succession: estimating secondary tropical dry forest structure and diversity using imaging spectroscopy. Remote Sens Environ 108:82–96. https://doi.org/10.1016/j.rse.2006.11.007 CrossRefGoogle Scholar
  50. Kalbitzer U, Chapman CA (2018) Primate responses to changing environments in the Anthropocene. In: Kalbitzer U, Jack KM (eds) Primate life histories, sex roles, and adaptability – essays in honour of Linda M. Fedigan. Developments in primatology: progress and prospects. Springer, New York, pp 283–302Google Scholar
  51. Khaliq I, Hof C, Prinzinger R et al (2014) Global variation in thermal tolerances and vulnerability of endotherms to climate change. Proc R Soc Lond B Biol Sci 281:20141097. https://doi.org/10.1098/rspb.2014.1097 CrossRefGoogle Scholar
  52. Laurance WF, Useche DC, Rendeiro J et al (2012) Averting biodiversity collapse in tropical forest protected areas. Nature 489:290–294. https://doi.org/10.1038/nature11318 CrossRefPubMedGoogle Scholar
  53. Linke J, Betts MG, Lavigne MB, Franklin SE (2007) Introduction: structure, function, and change of forest landscapes. In: Wulder MA, Franklin SE (eds) Understanding forest disturbance and spatial pattern: remote sensing and GIS approaches. CRC Press (Taylor & Francis Group), Boca Raton, Florida, pp 1–29Google Scholar
  54. Maclean IMD, Wilson RJ (2011) Recent ecological responses to climate change support predictions of high extinction risk. Proc Natl Acad Sci 108:12337–12342. https://doi.org/10.1073/pnas.1017352108 CrossRefPubMedGoogle Scholar
  55. Mantua NJ, Hare SR (2002) The Pacific Decadal Oscillation. J Oceanogr 58:35–44. https://doi.org/10.1023/A:1015820616384 CrossRefGoogle Scholar
  56. Mawdsley JR, O’malley R, Ojima DS (2009) A review of climate-change adaptation strategies for wildlife management and biodiversity conservation. Conserv Biol 23:1080–1089. https://doi.org/10.1111/j.1523-1739.2009.01264.x CrossRefPubMedGoogle Scholar
  57. Morice CP, Kennedy JJ, Rayner NA, Jones PD (2012) Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: the HadCRUT4 data set. J Geophys Res Atmospheres 117:D08101. https://doi.org/10.1029/2011JD017187 CrossRefGoogle Scholar
  58. Moritz S, Bartz-Beielstein T (2017). “imputeTS: Time Series Missing Value Imputation in R.” The R Journal 9(1):207–218. https://journal.r-project.org/archive/2017/RJ-2017-009/index.html
  59. Pinc KO, Altmann J, Alberts SC (2009). BABASE: Technical specifications for the Amboseli Baboon Project Data Management System. http://papio.biology.duke.edu/babase_system.html
  60. Rohde R, Muller RA, Jacobsen R et al (2013) A new estimate of the average earth surface land temperature spanning 1753 to 2011. Geoinformatics Geostat Overv 01:1–7. https://doi.org/10.4172/2327-4581.1000101 CrossRefGoogle Scholar
  61. Ropelewski CF, Halpert MS (1987) Global and regional scale precipitation patterns associated with the El Niño/Southern Oscillation. Mon Weather Rev 115:1606–1626. https://doi.org/10.1175/1520-0493(1987)115<1606:GARSPP>2.0.CO;2CrossRefGoogle Scholar
  62. Schloss CA, Nuñez TA, Lawler JJ (2012) Dispersal will limit ability of mammals to track climate change in the Western Hemisphere. Proc Natl Acad Sci 109:8606–8611. https://doi.org/10.1073/pnas.1116791109 CrossRefPubMedGoogle Scholar
  63. Sorensen TC, Fedigan LM (2000) Distribution of three monkey species along a gradient of regenerating tropical dry forest. Biol Conserv 92:227–240. https://doi.org/10.1016/S0006-3207(99)00068-3 CrossRefGoogle Scholar
  64. Strier KB, Boubli JP (2006) A history of long-term research and conservation of northern muriquis (Brachyteles hypoxanthus) at the Estação Biológica de Caratinga/RPPN-FMA. Primate Conserv 20:53–63CrossRefGoogle Scholar
  65. Taylor MA, Alfaro EJ (2005) Central America and the Caribbean, Climate of. In: Oliver JE (ed) Encyclopedia of world climatology. Springer, Dordrecht, pp 183–189CrossRefGoogle Scholar
  66. Tewksbury JJ, Huey RB, Deutsch CA (2008) Putting the heat on tropical animals. Science 320:1296–1297. https://doi.org/10.1126/science.1159328 CrossRefPubMedGoogle Scholar
  67. Thomas CD, Cameron A, Green RE et al (2004) Extinction risk from climate change. Nature 427:145–148. https://doi.org/10.1038/nature02121 CrossRefPubMedGoogle Scholar
  68. Tuck, S., & Phillips, H. (2013). MODISTools: MODIS Subsetting Tools. R package version 0.93.5. Retrieved from http://CRAN.R-project.org/package=MODISTools
  69. Urban MC (2015) Accelerating extinction risk from climate change. Science 348:571–573. https://doi.org/10.1126/science.aaa4984 CrossRefPubMedGoogle Scholar
  70. Urban MC, Bocedi G, Hendry AP et al (2016) Improving the forecast for biodiversity under climate change. Science 353:aad8466. https://doi.org/10.1126/science.aad8466 CrossRefPubMedGoogle Scholar
  71. Uriarte M, Schwartz N, Powers JS et al (2016) Impacts of climate variability on tree demography in second growth tropical forests: the importance of regional context for predicting successional trajectories. Biotropica 48:780–797. https://doi.org/10.1111/btp.12380 CrossRefGoogle Scholar
  72. Vicente-Serrano SM, Beguería S, López-Moreno JI (2009) A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index. J Clim 23:1696–1718. https://doi.org/10.1175/2009JCLI2909.1 CrossRefGoogle Scholar
  73. Vose RS, Arndt D, Banzon VF et al (2012) NOAA’s merged Land–Ocean surface temperature analysis. Bull Am Meteorol Soc 93:1677–1685. https://doi.org/10.1175/BAMS-D-11-00241.1 CrossRefGoogle Scholar
  74. Wang S, Huang J, He Y, Guan Y (2014) Combined effects of the Pacific Decadal Oscillation and El Niño-Southern Oscillation on global land dry–wet changes. Sci Rep 4:srep06651. https://doi.org/10.1038/srep06651 CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Fernando A. Campos
    • 1
    • 2
  1. 1.Department of AnthropologyThe University of Texas at San AntonioSan AntonioUSA
  2. 2.Department of BiologyDuke UniversityDurhamUSA

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