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Partitioning tree diversity patterns to prioritize conservation investments

Published online by Cambridge University Press:  11 March 2021

Patrick F McKenzie Open the ORCID record for Patrick F McKenzie [Opens in a new window] ,
Gwenllian D Iacona ,
Eric R Larson  and
Paul R Armsworth
Patrick F McKenzie*
Affiliation:
Department of Ecology and Evolutionary Biology, University of Tennessee, TN, USA Department of Ecology, Evolution, and Environmental Biology, Columbia University, NY, USA
Gwenllian D Iacona
Affiliation:
Department of Ecology and Evolutionary Biology, University of Tennessee, TN, USA Resources for the Future, Washington, DC, USA
Eric R Larson
Affiliation:
Department of Ecology and Evolutionary Biology, University of Tennessee, TN, USA Department of Natural Resources and Environmental Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA
Paul R Armsworth
Affiliation:
Department of Ecology and Evolutionary Biology, University of Tennessee, TN, USA
*
Author for correspondence: Patrick F McKenzie, Email: [email protected]
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Summary

The available tools and approaches to inform conservation decisions commonly assume detailed distribution data. We examine how well-established ecological concepts about patterns in local richness and community turnover can help overcome data limitations when planning future protected areas. To inform our analyses, we surveyed tree species in protected areas in the southern Appalachian Mountains in the eastern USA. We used the survey data to construct predictive models for alpha and beta diversity based on readily observed biophysical variables and combined them to create a heuristic that could predict among-site richness in trees (gamma diversity). The predictive models suggest that site elevation and latitude in this montane system explain much of the variation in alpha and beta diversity in tree species. We tested how well resulting protected areas would represent species if a conservation planner lacking detailed species inventories for candidate sites were to rely only on our alpha, beta and gamma diversity predictions. Our approach selected sites that, when aggregated, covered a large proportion of the overall species pool. The combined gamma diversity models performed even better when we also accounted for the cost of protecting sites. Our results demonstrate that classic community biogeography concepts remain highly relevant to conservation practice today.

Keywords

conservationdiversity partitioningprotected areas
Type
Research Paper
Information
Environmental Conservation , Volume 48 , Issue 2 , June 2021 , pp. 75 - 83
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Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of Foundation for Environmental Conservation

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References

Albuquerque, F, Beier, P (2015) Using abiotic variables to predict importance of sites for species representation. Conservation Biology 29: 1390–1400.CrossRefGoogle ScholarPubMed
Albuquerque, F, Beier, P (2016) Predicted rarity-weighted richness, a new tool to prioritize sites for species representation. Ecology and Evolution 6: 8107–8114.CrossRefGoogle ScholarPubMed
Anderson, MG, Comer, PJ, Beier, P, Lawler, JJ, Schloss, CA, Buttrick, S et al. (2015) Case studies of conservation plans that incorporate geodiversity. Conservation Biology 29: 680–691.CrossRefGoogle ScholarPubMed
Anderson, MJ, Crist, TO, Chase, JM, Vellend, M, Inouye, BD, Freestone, AL et al. (2011) Navigating the multiple meanings of β diversity: a roadmap for the practicing ecologist. Ecology Letters 14: 19–28.CrossRefGoogle ScholarPubMed
Araujo, MB, Guisan, A (2006) Five (or so) challenges for species distribution modelling. Journal of Biogeography 33: 1677–1688.CrossRefGoogle Scholar
Armsworth, PR, Cantú-Salazar, L, Parnell, M, Davies, ZG, Stoneman, R (2011) Management costs for small protected areas and economies of scale in habitat conservation. Biological Conservation 144: 423–429.CrossRefGoogle Scholar
Armsworth, PR, Jackson, HB, Cho, S-H, Clark, M, Fargione, JE, Iacona, GD et al. (2017) Factoring economic costs into conservation planning may not improve agreement over priorities for protection. Nature Communications 8: 1–10.CrossRefGoogle ScholarPubMed
Arponen, A, Heikkinen, RK, Thomas, CD, Moilanen, A (2005) The value of biodiversity in reserve selection: representation, species weighting, and benefit functions. Conservation Biology 19: 2009–2014.CrossRefGoogle Scholar
Aycrigg, JL, Davidson, A, Svancara, LK, Gergely, KJ, McKerrow, A, Scott, JM (2013) Representation of ecological systems within the protected areas network of the continental United States. PLoS One 8: e54689.CrossRefGoogle ScholarPubMed
Baselga, A (2010) Partitioning the turnover and nestedness components of beta diversity. Global Ecology and Biogeography 19: 134–143.CrossRefGoogle Scholar
Beier, P, Sutcliffe, P, Hjort, J, Faith, DP, Pressey, RL, Albuquerque, F (2015) A review of selection-based tests of abiotic surrogates for species representation. Conservation Biology 29: 668–679.CrossRefGoogle ScholarPubMed
Birchard, B (2005) Nature’s Keepers: The Remarkable Story of How the Nature Conservancy Became the Largest Environmental Group in the World. Hoboken, NJ, USA: John Wiley & Sons.Google Scholar
Carroll, C, Roberts, DR, Michalak, JL, Lawler, JJ, Nielsen, SE, Stralberg, D et al. (2017) Scale-dependent complementarity of climatic velocity and environmental diversity for identifying priority areas for conservation under climate change. Global Change Biology 23: 4508–4520.CrossRefGoogle ScholarPubMed
Carvalho, JC, Cardoso, P, Gomes, P (2012) Determining the relative roles of species replacement and species richness differences in generating beta-diversity patterns. Global Ecology and Biogeography 21: 760–771.CrossRefGoogle Scholar
Chadés, I, Nicol, S, van Leeuwen, S, Walters, B, Firn, J, Reeson, A et al. (2015) Benefits of integrating complementarity into priority threat management. Conservation Biology 29: 525–536.CrossRefGoogle ScholarPubMed
Chao, A, Chazdon, RL, Colwell, RK, Shen, T (2006) Abundance-based similarity indices and their estimation when there are unseen species in samples. Biometrics 62: 361–371.CrossRefGoogle ScholarPubMed
Chape, S, Harrison, J, Spalding, M, Lysenko, I (2005) Measuring the extent and effectiveness of protected areas as an indicator for meeting global biodiversity targets. Philosophical Transactions of the Royal Society B: Biological Sciences 360: 443–455.CrossRefGoogle ScholarPubMed
Chape, S, Spalding, M, Jenkins, M (2008) The World’s Protected Areas: Status, Values and Prospects in the 21st Century. Berkeley, CA, USA: University of California Press.Google Scholar
Chauvenet, ALM, Kuempel, CD, McGowan, J, Beger, M, Possingham, HP (2017) Methods for calculating Protection Equality for conservation planning. PLoS one 12: e0171591.CrossRefGoogle ScholarPubMed
Church, RL, Stoms, DM, Davis, FW (1996) Reserve selection as a maximal covering location problem. Biological Conservation 76: 105–112.CrossRefGoogle Scholar
Currie, DJ, Paquin, V (1987) Large-scale biogeographical patterns of species richness of trees. Nature 329: 326–327.CrossRefGoogle Scholar
de Pous, P, Beukema, W, Weterings, M, Dümmer, I, Geniez, P (2011) Area prioritization and performance evaluation of the conservation area network for the Moroccan herpetofauna: a preliminary assessment. Biodiversity and Conservation 20: 89–118.CrossRefGoogle Scholar
Early, R, Anderson, B, Thomas, CD (2008) Using habitat distribution models to evaluate large-scale landscape priorities for spatially dynamic species. Journal of Applied Ecology 45: 228–238.CrossRefGoogle Scholar
Elias, TS (1980) The Complete Trees of North America. Field Guide and Natural History. New York, NY, USA: Van Nostrand Reinhold Company & Times Mirror Magazines, Inc.Google Scholar
Ellison, AM (2010) Partitioning diversity 1. Ecology 91: 1962–1963.CrossRefGoogle Scholar
Feeley, KJ, Silman, MR (2011) Keep collecting: accurate species distribution modelling requires more collections than previously thought. Diversity and Distributions 17: 1132–1140.CrossRefGoogle Scholar
Franklin, J (2013) Species distribution models in conservation biogeography: developments and challenges. Diversity and Distributions 19: 1217–1223.CrossRefGoogle Scholar
Gaston, KJ, Charman, K, Jackson, SF, Armsworth, PR, Bonn, A, Briers, RA et al. (2006) The ecological effectiveness of protected areas: the United Kingdom. Biological Conservation 132: 76–87.CrossRefGoogle Scholar
Gering, JC, Crist, TO (2002) The alpha–beta–regional relationship: providing new insights into local–regional patterns of species richness and scale dependence of diversity components. Ecology Letters 5: 433–444.CrossRefGoogle Scholar
Gering, JC, Crist, TO, Veech, JA (2003) Additive partitioning of species diversity across multiple spatial scales: implications for regional conservation of biodiversity. Conservation Biology 17: 488–499.CrossRefGoogle Scholar
Groves, C (2003) Drafting a Conservation Blueprint: A Practitioner’s Guide to Planning for Biodiversity. Washington, DC, USA: Island Press.Google Scholar
Groves, C, Game, ET (2016) Conservation Planning: Informed Decisions for a Healthier Planet. New York, NY, USA: W. H. Freeman.Google Scholar
Hernandez, PA, Graham, CH, Master, LL, Albert, DL (2006) The effect of sample size and species characteristics on performance of different species distribution modeling methods. Ecography 29: 773–785.CrossRefGoogle Scholar
Jenkins, CN, Van Houtan, KS, Pimm, SL, Sexton, JO (2015) US protected lands mismatch biodiversity priorities. Proceedings of the National Academy of Sciences of the United States of America 112: 5081–5086.CrossRefGoogle ScholarPubMed
Johnson, CN, Balmford, A, Brook, BW, Buettel, JC, Galetti, M, Guangchun, L, Wilmshurst, JM (2017) Biodiversity losses and conservation responses in the Anthropocene. Science 356: 270–275.CrossRefGoogle ScholarPubMed
Joppa, LN, Pfaff, A (2009) High and far: biases in the location of protected areas. PLoS One 4: e8273.CrossRefGoogle ScholarPubMed
Jost, L (2007) Partitioning diversity into independent alpha and beta components. Ecology 88: 2427–2439.CrossRefGoogle ScholarPubMed
Kirkman, KL, Brown, CL, Leopold, DJ (2007) Native Trees of the Southeast: An Identification Guide. Protland, OR, USA: Timber Press.Google Scholar
Koleff, P, Gaston, KJ (2002) The relationships between local and regional species richness and spatial turnover. Global Ecology and Biogeography 11: 363–375.CrossRefGoogle Scholar
Lande, R (1996) Statistics and partitioning of species diversity, and similarity among multiple communities. Oikos 76: 5–13.CrossRefGoogle Scholar
Lawler, JJ, Ackerly, DD, Albano, CM, Anderson, MG, Dobrowski, SZ, Gill, JL et al. (2015) The theory behind, and the challenges of, conserving nature’s stage in a time of rapid change. Conservation Biology 29: 618–629.CrossRefGoogle Scholar
Lawler, JJ, Ruesch, AS, Olden, JD, McRae, BH (2013) Projected climate-driven faunal movement routes. Ecology Letters 16: 1014–1022.CrossRefGoogle ScholarPubMed
Le Saout, S, Hoffmann, M, Shi, Y, Hughes, A, Bernard, C, Brooks, TM et al. (2013) Protected areas and effective biodiversity conservation. Science 342: 803–805.CrossRefGoogle ScholarPubMed
Legendre, P, De Cáceres, M (2013) Beta diversity as the variance of community data: dissimilarity coefficients and partitioning. Ecology Letters 16: 951–963.CrossRefGoogle ScholarPubMed
Lennox, GD, Fargione, J, Spector, S, Williams, G, Armsworth, PR (2017) The value of flexibility in conservation financing. Conservation Biology 31: 666–674.CrossRefGoogle ScholarPubMed
Lichstein, JW (2007) Multiple regression on distance matrices: a multivariate spatial analysis tool. Plant Ecology 188: 117–131.CrossRefGoogle Scholar
Lobo, JM, Jiménez-Valverde, A, Hortal, J (2010) The uncertain nature of absences and their importance in species distribution modelling. Ecography 33: 103–114.CrossRefGoogle Scholar
Mantel, N (1967) The detection of disease clustering and a generalized regression approach. Cancer Research 27: 209–220.Google Scholar
Maxwell, SL, Fuller, RA, Brooks, TM, Watson, JEM (2016) Biodiversity: the ravages of guns, nets and bulldozers. Nature News 536: 143.CrossRefGoogle ScholarPubMed
McCarthy, DP, Donald, PF, Scharlemann, JPW, Buchanan, GM, Balmford, A, Green, JMH et al. (2012) Financial costs of meeting global biodiversity conservation targets: current spending and unmet needs. Science 338: 946–949.CrossRefGoogle ScholarPubMed
McDonald-Madden, E, Bode, M, Game, ET, Grantham, H, Possingham, HP (2008) The need for speed: informed land acquisitions for conservation in a dynamic property market. Ecology Letters 11: 1169–1177.CrossRefGoogle Scholar
Mena, JL, Vázquez-Domínguez, E (2005) Species turnover on elevational gradients in small rodents. Global Ecology and Biogeography 14: 539–547.CrossRefGoogle Scholar
Moilanen, A, Possingham, H, Wilson, K (2009) Spatial Conservation Prioritization: Quantitative Methods and Computational Tools. Oxford, UK: Oxford University Press.Google Scholar
Nagendra, H (2008) Do parks work? Impact of protected areas on land cover clearing. AMBIO 37: 330–337.CrossRefGoogle ScholarPubMed
Nelson, A, Chomitz, KM (2011) Effectiveness of strict vs. multiple use protected areas in reducing tropical forest fires: a global analysis using matching methods. PLoS One 6: e22722.CrossRefGoogle ScholarPubMed
Podani, J, Schmera, D (2011) A new conceptual and methodological framework for exploring and explaining pattern in presence–absence data. Oikos 120: 1625–1638.CrossRefGoogle Scholar
Pollock, LJ, Tingley, R, Morris, WK, Golding, N, O’Hara, RB, Parris, KM et al. (2014) Understanding co-occurrence by modelling species simultaneously with a joint species distribution model (JSDM). Methods in Ecology and Evolution 5: 397–406.CrossRefGoogle Scholar
Qian, H, Ricklefs, RE (2012) Disentangling the effects of geographic distance and environmental dissimilarity on global patterns of species turnover. Global Ecology and Biogeography 21: 341–351.CrossRefGoogle Scholar
Rodrigues, AS, Orestes Cerdeira, J, Gaston, KJ (2000) Flexibility, efficiency, and accountability: adapting reserve selection algorithms to more complex conservation problems. Ecography 23: 565–574.CrossRefGoogle Scholar
Rodriguez, E, Morris, CS, Belz, JE (2006) A global assessment of the SRTM performance. Photogrammetric Engineering & Remote Sensing 72: 249–260.CrossRefGoogle Scholar
Rougier, T, Lassalle, G, Drouineau, H, Dumoulin, N, Faure, T, Deffuant, G et al. (2015) The combined use of correlative and mechanistic species distribution models benefits low conservation status species. PLoS One 10: e0139194.CrossRefGoogle ScholarPubMed
Socolar, JB, Gilroy, JJ, Kunin, WE, Edwards, DP (2016) How should beta-diversity inform biodiversity conservation? Trends in Ecology & Evolution 31: 67–80.CrossRefGoogle ScholarPubMed
Stein, BA, Kutner, LS, Adams, JS (2000) Precious Heritage: The Status of Biodiversity in the United States. Oxford, UK: Oxford University Press on Demand.CrossRefGoogle Scholar
The Nature Conservancy (1997) A Natural Areas Inventory of Lackawanna County, Pennsylvania. Technical Report. Arlington County, VA, USA: The Nature Conservancy.Google Scholar
The Nature Conservancy (2000) Southern Blue Ridge Ecoregional Conservation Plan: Summary and Implementation Document. Southern Appalachian Forest Coalition and The Nature Conservancy (eds). Arlington County, VA, USA: The Nature Conservancy.Google Scholar
Tuomisto, H (2010a) A diversity of beta diversities: straightening up a concept gone awry. Part 1. Defining beta diversity as a function of alpha and gamma diversity. Ecography 33: 2–22.CrossRefGoogle Scholar
Tuomisto, H (2010b) A diversity of beta diversities: straightening up a concept gone awry. Part 2. Quantifying beta diversity and related phenomena. Ecography 33: 23–45.CrossRefGoogle Scholar
Veach, V, Di Minin, E, Pouzols, FM, Moilanen, A (2017) Species richness as criterion for global conservation area placement leads to large losses in coverage of biodiversity. Diversity and Distributions 23: 715–726.CrossRefGoogle Scholar
Veech, JA, Summerville, KS, Crist, TO, Gering, JC (2002) The additive partitioning of species diversity: recent revival of an old idea. Oikos 99: 3–9.CrossRefGoogle Scholar
Villero, D, Pla, M, Camps, D, Ruiz-Olmo, J, Brotons, L (2017) Integrating species distribution modelling into decision-making to inform conservation actions. Biodiversity and Conservation 26: 251–271.CrossRefGoogle Scholar
Whittaker, RH (1960) Vegetation of the Siskiyou Mountains, Oregon and California. Ecological Monographs 30: 279–338.CrossRefGoogle Scholar
Whittaker, RH (1972) Evolution and measurement of species diversity. Taxon 21: 213–251.CrossRefGoogle Scholar
Wilcove, DS, Rothstein, D, Dubow, J, Phillips, A, Losos, E (1998) Quantifying threats to imperiled species in the United States: assessing the relative importance of habitat destruction, alien species, pollution, overexploitation, and disease. Bioscience 48: 607–615.CrossRefGoogle Scholar
Willis, CK, Lombard, AT, Cowling, RM, Heydenrych, BJ, Burgers, CJ (1996) Reserve systems for limestone endemic flora of the Cape lowland fynbos: iterative versus linear programming. Biological Conservation 77: 53–62.CrossRefGoogle Scholar
Zuur, A, Ieno, EN, Smith, GM (2007) Analyzing Ecological Data. Berlin, Germany: Springer.CrossRefGoogle Scholar
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