Skip to main content Accessibility help
×
Hostname: page-component-8448b6f56d-tj2md Total loading time: 0 Render date: 2024-04-24T17:46:59.063Z Has data issue: false hasContentIssue false

6 - Habitat quality, niche breadth, temporal stochasticity, and the persistence of populations in heterogeneous landscapes

Published online by Cambridge University Press:  05 July 2011

Scott M. Pearson
Affiliation:
Mars Hill College, NC
Jennifer M. Fraterrigo
Affiliation:
University of Illinois
Jianguo Liu
Affiliation:
Michigan State University
Vanessa Hull
Affiliation:
Michigan State University
Anita T. Morzillo
Affiliation:
Oregon State University
John A. Wiens
Affiliation:
PRBO Conservation Science
Get access

Summary

Spatial heterogeneity in habitat quality creates variation in demographic performance among subpopulations and results in source–sink dynamics. We extend this idea to explore the effects of within-patch heterogeneity on population persistence in a simulation model. Spatial heterogeneity, niche breadth, and temporal stochasticity in the environment are widely recognized as important drivers of population structure, yet few studies have examined the combined influence of these factors. Simulated populations had life-history traits resembling perennial forest herbaceous plants, and simulated landscapes were based on forests of the southern Appalachian Mountains. Habitat quality varied continuously within and between habitat patches using realistic patterns based on topographic gradients. Temporal stochasticity in survival was implemented to simulate interannual climatic variation, and levels of stochasticity were varied to reflect different frequencies of extreme events. The effects of habitat fragmentation, spatial variation in habitat quality, and niche breadth resulted in differential demographic performance among habitat patches of similar size and shape. These effects overshadowed the influences of temporal stochasticity on population persistence. The results suggest that populations of forest perennials may be more sensitive to habitat fragmentation and variation in habitat quality than to temporal stochasticity due to climate. Specialist species will be more sensitive than generalists to such changes.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2011

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Adler, P. B. and HilleRisLambers, J. (2008). The influence of climate and species composition on the population dynamics of ten prairie forbs. Ecology 89: 3049–3060.CrossRefGoogle Scholar
Adler, P. B., HilleRisLambers, J., Kyriakidis, P. C., Guan, Q. and Levine, J. M. (2006). Climate variability has a stabilizing effect on the coexistence of prairie grasses. Proceedings of the National Academy of Sciences of the USA 103: 12793–12798.CrossRefGoogle Scholar
Altwegg, R., Roulin, A., Kestenholz, M. and Jenni, L. (2003). Variation and covariation in survival, dispersal, and population size in barn owls Tyto alba. Journal of Animal Ecology 72: 391–399.CrossRefGoogle Scholar
Bascompte, J. and Sole, R. V. (1996). Habitat fragmentation and extinction thresholds in spatially explicit models. Journal of Animal Ecology 65: 465–473.CrossRefGoogle Scholar
Beattie, A. J. and Culver, D. C. (1981). The guild of myrmecochores in the herbaceous flora of West Virginia forests. Ecology 62: 107–115.CrossRefGoogle Scholar
Bender, D. J., Contreras, T. A. and Fahrig, L. (1998). Habitat loss and population decline: a meta-analysis of the patch size effect. Ecology 79: 517–533.CrossRefGoogle Scholar
Boer, G. J., Flato, G. and Ramsden, D. (2000). A transient climate change simulation with greenhouse gas and aerosol forcing: projected climate to the twenty-first century. Climate Dynamics 16: 427–450.CrossRefGoogle Scholar
Bolstad, P. V., Swank, W. T. and Vose, J. M. (1998a). Predicting southern Appalachian overstory vegetation with digital terrain data. Landscape Ecology 13: 271–283.CrossRefGoogle Scholar
Bolstad, P. V., Swift, L., Collins, F. and Régnière, J. (1998b). Measured and predicted air temperatures at basin to regional scales in the southern Appalachian mountains. Agricultural and Forest Meteorology 9: 161–176.CrossRefGoogle Scholar
Bonesi, L., Rushton, S. and Macdonald, D. (2002). The combined effect of environmental factors and neighboring populations on the distribution and abundance of Arvicola terrestris: an approach using rule-based models. Oikos 99: 220–230.CrossRefGoogle Scholar
Clark, J. S., Lewis, M. and Horvath, L. (2001). Invasion by extremes: population spread with variation in dispersal and reproduction. American Naturalist 157: 537–554.CrossRefGoogle ScholarPubMed
Compton, J. E. and Boone, R. D. (2000). Long-term impacts of agriculture on soil carbon and nitrogen in New England forests. Ecology 81: 2314–2330.CrossRefGoogle Scholar
Dale, V. H. (1997). The relationship between land-use change and climate change. Ecological Applications 7: 753–769.CrossRefGoogle Scholar
Dale, V. H., Offerman, H., Pearson, S. and O’Neill, R. V. (1994). Effects of forest fragmentation on neotropical fauna. Conservation Biology 8: 1027–1036.CrossRefGoogle Scholar
Day, F. P. and Monk, C. D. (1974). Vegetation patterns on a southern Appalachian watershed. Ecology 34: 329–346.CrossRefGoogle Scholar
Ecke, F., Lofgren, O. and Sorlin, D. (2002). Population dynamics of small mammals in relation to forest age and structural habitat factors in northern Sweden. Journal of Applied Ecology 39: 781–792.CrossRefGoogle Scholar
Elliott, K. J., Vose, J. M., Swank, W. T. and Bolstad, P. V. (1999). Long-term patterns in vegetation–site relationships in a southern Appalachian forest. Journal of the Torrey Botanical Society 126: 320–334.CrossRefGoogle Scholar
Fahrig, L. (1992). Relative importance of spatial and temporal scales in a patchy environment. Theoretical Population Biology 41: 300–314.CrossRefGoogle Scholar
Fauth, P. T. (2001). Wood thrush populations are not all sinks in the agricultural midwestern United States. Conservation Biology 15: 523–527.CrossRefGoogle Scholar
Flinn, K. M. (2007). Microsite-limited recruitment controls fern colonization of post-agricultural forests. Ecology 88: 3103–3114.CrossRefGoogle ScholarPubMed
Flinn, K. M. and Vellend, M. (2005). Recovery of forest plant communities in post-agricultural landscapes. Frontiers in Ecology and the Environment 3: 243–250.CrossRefGoogle Scholar
Foppen, R. P. B., Chardon, J. P. and Liefveld, W. (2000). Understanding the role of sink patches in source–sink metapopulations: reed warbler in an agricultural landscape. Conservation Biology 14: 1881–1892.CrossRefGoogle Scholar
Franco, M. and Silvertown, J. (2004). A comparative demography of plants based upon elasticities of vital rates. Ecology 85: 531–538.CrossRefGoogle Scholar
Fraterrigo, J. M., Turner, M. G., Pearson, S. M. and Dixon, P. (2005). Effects of past land use on spatial heterogeneity of soil nutrients in southern Appalachian forests. Ecological Monographs 75: 215–230.CrossRefGoogle Scholar
Fraterrigo, J. M., Turner, M. G. and Pearson, S. M. (2006). Interactions between past land use, life-history traits and understory spatial heterogeneity. Landscape Ecology 21: 777–790.CrossRefGoogle Scholar
Fraterrigo, J. M., Pearson, S. M. and Turner, M. G. (2009). Joint effects of habitat configuration and temporal stochasticity on population dynamics. Landscape Ecology 24: 863–877.CrossRefGoogle Scholar
Frouz, J. and Kindlmann, P. (2001). The role of sink to source re-colonisation in the population dynamics of insects living in unstable habitats: an example of terrestrial chironomids. Oikos 93: 50–58.CrossRefGoogle Scholar
Gilliam, F. S. and Roberts, M. R. (2003). The Herbaceous Layer in Forests of Eastern North America. Oxford University Press, New York.Google Scholar
Gonzalez-Megias, A., Gomez, J. M. and Sanchez-Pinero, F. (2005). Regional dynamics of a patchily distributed herbivore along an altitudinal gradient. Ecological Entomology 30: 706–713.CrossRefGoogle Scholar
Gonzalez-Megias, A., Menendez, R., Roy, D., Brereton, T. and Thomas, C. D. (2008). Changes in the composition of British butterfly assemblages over two decades. Global Change Biology 14: 1464–1474.CrossRefGoogle Scholar
Ibáñez, I., Clark, J. S., LaDeau, S. and HilleRisLambers, J. (2007). Exploiting temporal variability to understand tree recruitment response to climate change. Ecological Monographs 77: 163–177.CrossRefGoogle Scholar
IPCC (2007). Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, UK.Google Scholar
Lennartsson, T. (2002). Extinction thresholds and disrupted plant–pollinator interactions in fragmented plant populations. Ecology 83: 3060–3072.Google Scholar
Levin, S. A., Muller-Landau, H. C., Nathan, R. and Chave, J. (2003). The ecology and evolution of seed dispersal: a theoretical perspective. Annual Review of Ecology, Evolution, and Systematics 34: 575–604.CrossRefGoogle Scholar
Levine, J. M., McEachern, A. K. and Clark, C. (2008). Rainfall effects on rare annual plants. Journal of Ecology 96: 795–806.CrossRefGoogle Scholar
Lindenmayer, D. B. and Fischer, J. (2006). Habitat Fragmentation and Landscape Change: An Ecological and Conservation Synthesis. Island Press, Washington, DC.Google Scholar
Magoulick, D. D. and Kobza, R. M. (2003). The role of refugia for fishes during drought: a review and synthesis. Freshwater Biology 48: 1186–1198.CrossRefGoogle Scholar
Matlack, G. R. (1993). Microenvironment variation within and among deciduous forest edge sites in the eastern United States. Biological Conservation 66: 185–194.CrossRefGoogle Scholar
Matlack, G. R. (1994a). Plant species migration in a mixed-history forest landscape in eastern North America. Ecology 75: 1491–1502.CrossRefGoogle Scholar
Matlack, G. R. (1994b). Vegetation dynamics of the forest edge: trends in space and successional time. Journal of Ecology 82: 113–123.CrossRefGoogle Scholar
Matlack, G. R. and Monde, J. (2004). Consequences of low mobility in spatially and temporally heterogeneous ecosystems. Journal of Ecology 92: 1025–1035.CrossRefGoogle Scholar
Matthews, D. P. and Gonzalez, A. (2007). The inflationary effects of environmental fluctuations ensure the persistence of sink metapopulations. Ecology 88: 2848–2856.CrossRefGoogle ScholarPubMed
McGarigal, K. and Marks, B. J. (1995). FRAGSTATS: Spatial Pattern Analysis Program for Quantifying Landscape Structure. USDA-Forest Service General Technical Report PNW-GTR-351, Pacific Northwest Research Station, Portland, OR.CrossRefGoogle Scholar
McNab, W. H. (1996). Classification of local- and landscape-scale ecological types in the southern Appalachian Mountains. Environmental Monitoring and Assessment 39: 215–229.CrossRefGoogle ScholarPubMed
Meekins, J. F. and McCarthy, B. C. (2001). Effect of environmental variation on the invasive success of a nonindigenous forest herb. Ecological Applications 11: 1336–1348.CrossRefGoogle Scholar
Mood, A. M., Graybill, F. A. and Boes, D. C. (1974). Introduction to the Theory of Statistics, 3rd edition. McGraw-Hill, New York.Google Scholar
Morris, W. F., Pfister, C. A., Tuljapurkar, S., Haridas, C. V., Boggs, C. L., Boyce, M. S., Bruna, E. M., Church, D. R., Coulson, T., Doak, D. F., Forsyth, S., Gaillard, J.-M., Horvitz, C. C., Kalisz, S., Kendall, B. E., Knight, T. M., Lee, C. T. and Menges, E. S. (2008). Longevity can buffer plant and animal populations against changing climatic variability. Ecology 89: 19–25.CrossRefGoogle ScholarPubMed
Murphy, M. T. (2001). Source–sink dynamics of a declining Eastern kingbird population and the value of sink habitats. Conservation Biology 15: 737–748.CrossRefGoogle Scholar
Nagy, L. R. and Holmes, R. T. (2004). Factors influencing fecundity in migratory songbirds: is nest predation the most important?Journal of Avian Biology 35: 487–491.CrossRefGoogle Scholar
Olano, J. M. and Palmer, M. W. (2003). Response of an Appalachian old-growth forest to a severe drought episode. Forest Ecology and Management 174: 139–148.CrossRefGoogle Scholar
Palmer, M. W. (1990). Spatial scale and patterns of vegetation, flora and species richness in hardwood forests of the North Carolina Piedmont. Coenoses 5: 89–96.Google Scholar
Parker, A. J. (1982). The topographic relative moisture index: an approach to soil-moisture assessment in mountain terrain. Physical Geography 3: 160–168.Google Scholar
Pearson, S. M., Smith, A. B. and Turner, M. G. (1998). Forest patch size, land use and mesic forest herbs in the French Broad River Basin, North Carolina. Castanea 63: 382–395.Google Scholar
Pearson, S. M., Turner, M. G. and Drake, J. B. (1999). Landscape change and habitat availability in the Southern Appalachian Highlands and Olympic Peninsula. Ecological Applications 9: 1288–1304.CrossRefGoogle Scholar
Phillips, N. E. (2007). A spatial gradient in the potential reproductive output of the sea mussel Mytilus californianus. Marine Biology 151: 1543–1550.CrossRefGoogle Scholar
Pulliam, H. R. (1988). Sources, sinks, and population regulation. American Naturalist 132: 652–661.CrossRefGoogle Scholar
R Development Core Team (2009). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria.Google Scholar
Schmidt, K. A. (2003). Linking frequencies of acorn masting in temperate forests to long-term population growth rates in a songbird: the veery (Catharus fuscescens). Oikos 103: 548–558.CrossRefGoogle Scholar
Seydack, A. H. W., Vermeulen, C. and Huisamen, J. (2000). Habitat quality and the decline of an African elephant population: implications for conservation. South African Journal of Wildlife Research 30: 34–42.Google Scholar
Silvertown, J., Franco, M. and Harper, J. L. (eds.) (1997). Plant Life Histories: Ecology, Phylogeny and Evolution. Cambridge University Press, Cambridge, UK.
Simon, S. A., Collins, T. K., Kauffman, G. L., McNab, W. H. and Ulrey, C. J. (2005). Ecological Zones in the Southern Appalachians: First Approximation. Forest Service Research Paper SRS-41. US Department of Agriculture, Southern Research Station, Asheville, NC.Google Scholar
Smith, B. H., Forman, P. D. and Boyd, A. E. (1989). Spatial patterns of seed dispersal and predation of two myrmecochorous forest herbs. Ecology 70: 1649–1656.CrossRefGoogle Scholar
Sokal, R. R. and Rohlf, F. J. (1995). Biometry: The Principles and Practice of Statistics in Biological Research, 3rd edition. W. H. Freeman, New York.Google Scholar
Stevens, V. M. and Baguette, M. (2008). Importance of habitat quality and landscape connectivity for the persistence of endangered natterjack toads. Conservation Biology 22: 1194–1204.CrossRefGoogle ScholarPubMed
Terborgh, J. (1974). Preservation of natural diversity: the problem of extinction prone species. Bioscience 24: 715–722.CrossRefGoogle Scholar
Tracy, C. R. and Brussard, P. R. (1994). Preserving biodiversity: species in landscapes. Ecological Applications 4: 205–207.Google Scholar
Turner, M. G., Pearson, S. M., Bolstad, P. and Wear, D. N. (2003). Effects of land-cover change on spatial pattern of forest communities in the southern Appalachian Mountains (USA). Landscape Ecology 18: 449–464.CrossRefGoogle Scholar
Van De Pol, M., Bruinzeel, L. W., Heg, D. I. K., Van Der Jeugd, H. P. and Verhulst, S. (2006). A silver spoon for a golden future: long-term effects of natal origin on fitness prospects of oystercatchers (Haematopus ostralegus). Journal of Animal Ecology 75: 616–626.CrossRefGoogle Scholar
Vellend, M. (2003). Habitat loss inhibits recovery of plant diversity as forests regrow. Ecology 84: 1158–1164.CrossRefGoogle Scholar
Vellend, M., Verheyen, K., Jacquemyn, H., Kolb, A., Van Calster, H., Peterken, G. and Hermy, M. (2006). Extinction debt of forest plants persists for more than a century following habitat fragmentation. Ecology 87: 542–548.CrossRefGoogle ScholarPubMed
Vellend, M., Verheyen, K., Flinn, K. M., Jacquemyn, H., Kolb, A., Calster, H. V. A. N., Peterken, G., Graae, B. J., Bellemare, J., Honnay, O., Brunet, J., Wulf, M., Gerhardt, F. and Hermy, M. (2007). Homogenization of forest plant communities and weakening of species–environment relationships via agricultural land use. Journal of Ecology 95: 565–573.CrossRefGoogle Scholar
Verheyen, K., Guntenspergen, G. R., Biesbrouck, B. and Hermy, M. (2003). An integrated analysis of the effects of past land use on forest herb colonization at the landscape scale. Journal of Ecology 91: 731–742.CrossRefGoogle Scholar
Walker, B. H. (1992). Biodiversity and ecological redundancy. Conservation Biology 6: 18–23.CrossRefGoogle Scholar
Waterson, I. G. (2005). Simulated changes due to global warming in the variability of precipitation, and their interpretation using a gamma-distributed stochastic model. Advances in Water Resources 28: 1368–1381.CrossRefGoogle Scholar
Wear, D. N. and Bolstad, P. (1998). Land-use changes in southern Appalachian landscapes: spatial analysis and forecast evaluation. Ecosystems 1: 575–594.CrossRefGoogle Scholar
Whittaker, R. H. (1956). Vegetation of the Great Smoky Mountains. Ecological Monographs 26: 1–80.CrossRefGoogle Scholar
Williams, C. K., Ives, A. R. and Applegate, R. D. (2003). Population dynamics across geographical ranges: time-series analyses of three small game species. Ecology 84: 2654–2667.CrossRefGoogle Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×