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Mapping landscape beta diversity of plants across KwaZulu-Natal, South Africa, for aiding conservation planning

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Abstract

Collective properties of biodiversity, such as beta diversity, are suggested as complementary measures of species richness to guide the prioritisation and selection of important biodiversity areas in regional conservation planning. We assessed variation in the rate of plant species turnover along and between environmental gradients in KwaZulu-Natal, South Africa using generalised dissimilarity modelling, in order to map landscape levels of floristic beta diversity. Our dataset consisted of 434 plots (1000 m2) containing 997 grassland and savanna matrix species. Our model explained 79 % of the null deviance observed in floristic dissimilarities. Variable rates of turnover existed along the major environmental gradients of mean annual temperature, median rainfall in February, and soil cation exchange capacity, as well as along gradients of geographical distance. Beta diversity was highest in relatively warm, drier summer regions and on dystrophic soils. Areas of high beta diversity identify areas that should be included in conservation plans to maximise representation of diversity and highlight areas best suited to protected area expansion. Biome transition areas in high beta diversity areas may be susceptible to climate variability. Including beta diversity turnover rates in regional conservation plans will help to preserve evolutionary and ecological processes that create and maintain diversity.

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References

  • Anderson MJ, Crist TO, Chase JM, Vellend M, Inouye BD, Freestone AL, Sanders NJ, Cornell HV, Comita LS, Davies KF, Harrison SP, Kraft NJB, Stegen JC, Swenson NG (2011) Navigating the multiple meanings of β diversity: a roadmap for the practicing ecologist. Ecol Lett 14(1):19–28. doi:10.1111/j.1461-0248.2010.01552.x

    Article  PubMed  Google Scholar 

  • Apgaua DMG, dos Santos RM, Pereira DGS, de Oliveira Menino GC, Pires GG, Fontes MAL, Tng DYP (2014) Beta-diversity in seasonally dry tropical forests (SDTF) in the Caatinga Biogeographic Domain, Brazil, and its implications for conservation. Biodivers Conserv 23:217–232

    Article  Google Scholar 

  • Austin MP (1999) The potential contribution of vegetation ecology to biodiversity research. Ecography 22:465–484

    Article  Google Scholar 

  • Baselga A (2010) Partitioning the turnover and nestedness components of beta diversity. Glob Ecol Biogeogr 19:134–143

    Article  Google Scholar 

  • Beier P, Brost B (2010) The use of land facets to plan for climate change: conserving the arenas, not the actors. Conserv Biol 24:701–710

    Article  PubMed  Google Scholar 

  • Bray JR, Curtis JT (1957) An ordination of the upland forest communities of southern Wisconsin. Ecol Monogr 27:325–334

    Article  Google Scholar 

  • Christensen JH, Hewitson B, Busuioc A, Chen A, Gao X, Held I, Jones R, Kolli RK, Kwon W-T, Laprise R, Magaña Rueda V, Mearns L, Menéndez CG, Räisänen J, Rinke A, Sarr A, Whetton P (2007) Regional climate projections. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds) 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

    Google Scholar 

  • Cowling RM (1990) Diversity components in a species-rich area of the Cape Floristic region. J Veg Sci 1:699–710

    Article  Google Scholar 

  • D’Amen M, Rahbek C, Zimmermann NE, Guisan A (2015) Spatial predictions at the community level: from current approaches to future frameworks. Biol Rev. doi:10.1111/brv.12222

    PubMed  Google Scholar 

  • ESRI (2014) ArcMap version 10.3. Environmental Systems Research Institute, Redlands, USA. http://www.esri.com

  • Ferrier S (2002) Mapping spatial pattern in biodiversity for regional conservation planning: where to from here? Syst Biol 51:331–363

    Article  PubMed  Google Scholar 

  • Ferrier S, Manion G, Elith J, Richardson K (2007) Using generalised dissimilarity modelling to analyse and predict patterns of beta diversity in regional biodiversity assessment. Divers Distrib 13:252–264

    Article  Google Scholar 

  • Fitzpatrick MC, Keller SR (2015) Ecological genomics meets community-level modelling of biodiversity: mapping the genomic landscape of current and future environmental adaptation. Ecol Lett 18:1–16

    Article  PubMed  Google Scholar 

  • Fitzpatrick MC, Sanders NJ, Ferrier S, Longino JT, Weiser MD, Dunn R (2011) Forecasting the future of biodiversity: a test of single- and multi-species models for ants in North America. Ecography 34:836–847

    Article  Google Scholar 

  • Fitzpatrick MC, Sanders NJ, Normand S, Svenning J-C, Ferrier S, Gove AD, Dunn RR (2013) Environmental and historical imprints on beta diversity: insights from variation in rates of species turnover along gradients. Proc R Soc B 280:20131201. doi:10.1098/rspb.2013.1201

    Article  PubMed  PubMed Central  Google Scholar 

  • Goodman PS (1990) Soil, vegetation and large herbivore relations in Mkuzi Game Reserve, Natal. Unpublished PhD thesis, University of the Witwatersrand, Johannesburg

  • Greig-Smith P (1983) Quantitative plant ecology, 3rd edn. Blackwell, Oxford

    Google Scholar 

  • Hannah L, Midgley G, Andelman S, Araújo M, Hughes G, Martinez-Meyer E, Pearson R, Williams P (2007) Protected area needs in a changing climate. Front Ecol Environ 5:131–138

    Article  Google Scholar 

  • Harrison S (1999) Native and alien species diversity at the local and regional scales in a grazed California grassland. Oecologia 121:99–106

    Article  Google Scholar 

  • Houeto G, Glele Kakaï R, Salako V, Fandohan B, Assogbadjo AE, Sinsin B, Palm R (2013) Effect of inventory plot patterns in the floristic analysis of tropical woodland and dense forest. Afr J Ecol 52:257–264

    Google Scholar 

  • International Soil Reference and Information Centre (ISRIC-World soil information) (2013) Soil property maps of Africa at 1 km [dataset]. http://www.isric.org. Accessed 16 Oct 2013

  • Jaccard P (1912) The distribution of the flora in the alpine zone. New Phytol 11:37–50

    Article  Google Scholar 

  • Jewitt D, Erasmus BFN, Goodman PS, O’Connor TG, Hargrove WW, Maddalena DM, Witkowski ETF (2015a) Climate-induced change of environmentally defined floristic domains: a conservation based vulnerability framework. Appl Geogr 63:33–42

    Article  Google Scholar 

  • Jewitt D, Goodman PS, Erasmus BFN, O’Connor TG, Witkowski ETF (2015b) Systematic land-cover change in KwaZulu-Natal, South Africa: implications for biodiversity. S Afr J Sci 111:9–10. http://dx.doi.org/10.17159/sajs.2015/20150019

  • Jewitt D, Goodman PS, O’Connor TG, Witkowski ETF (2015c) Floristic composition in relation to environmental gradients across KwaZulu-Natal, South Africa. Aust Ecol 40:287–299

    Article  Google Scholar 

  • Koleff P, Gaston KJ, Lennon JJ (2003) Measuring beta diversity for presence-absence data. J Anim Ecol 72:367–382

    Article  Google Scholar 

  • Kraft NJB, Comita LS, Chase JM, Sanders NJ, Swenson NG, Crist TO, Stegen JC, Vellend M, Boyle B, Anderson MJ, Cornell HV, Davies KF, Freestone AL, Inouye BD, Harrison SP, Myers JA (2011) Disentangling the drivers of β diversity along latitudinal and elevational gradients. Science 333:1755–1758

    Article  CAS  PubMed  Google Scholar 

  • Laidlaw MJ, Richardson KS, Yeates AG, McDonald WJF, Hunter RJ (2016) Modelling the spatial distribution of beta diversity in Australian subtropical rainforest. Aust Ecol 41:189–196

    Article  Google Scholar 

  • Lawler JJ (2009) Climate change adaptation strategies for resource management and conservation planning. Ann N Y Acad Sci 1162:79–98

    Article  PubMed  Google Scholar 

  • Leach MK, Givnish TJ (1999) Gradients in the composition, structure, and diversity of remnant oak savannas in southern Wisconsin. Ecol Monogr 69:353–374

    Article  Google Scholar 

  • Legendre P, Legendre L (2012) Numerical ecology, 3rd edn. Elsevier, Amsterdam

    Google Scholar 

  • Legendre P, Borcard D, Peres-Neto PR (2005) Analyzing beta diversity: partitioning the spatial variation of community composition data. Ecol Monogr 75:435–450

    Article  Google Scholar 

  • Lennon JJ, Koleff P, Greenwood JJD, Gaston KJ (2001) The geographical structure of British bird distributions: diversity, spatial turnover and scale. J Anim Ecol 70:966–979

    Article  Google Scholar 

  • Manion G, Lisk M, Ferrier S, Nieto-Lugilde D, Fitzpatrick MC (2015) GDM: functions for generalized dissimilarity modeling. R package version 1.1.5. http://CRAN.R-project.org/package=gdm

  • Margules CR, Pressey RL (2000) Systematic conservation planning. Nature 405:243–253

    Article  CAS  PubMed  Google Scholar 

  • McCune B, Grace JB (2002) Analysis of ecological communities. MjM Software Design, Gleneden Beach

    Google Scholar 

  • McCune B, Mefford MJ (2006) PC-ORD: multivariate analysis of ecological data: version 5.12. MjM Software, Gleneden Beach

    Google Scholar 

  • McKnight MW, White PS, McDonald RI, Lamoreux JF, Sechrest W, Ridgely RS, Stuart SN (2007) Putting beta-diversity on the map: broad-scale congruence and coincidence in the extremes. PLoS Biol 5(10):e272. doi:10.1371/journal.pbio.0050272

    Article  PubMed  PubMed Central  Google Scholar 

  • Mucina L, Rutherford MC (2006) The vegetation of South Africa, Lesotho and Swaziland. Strelitzia 19. South African National Biodiversity Institute, Pretoria

    Google Scholar 

  • Paoli GD, Curran LM, Zak DR (2006) Soil nutrients and beta diversity in the Bornean dipterocarpaceae: evidence for niche partitioning by tropical rain forest trees. J Ecol 94:157–170

    Article  CAS  Google Scholar 

  • Partridge TC (1997) Evolution of landscapes. In: Cowling RM, Richardson DM, Pierce SM (eds) Vegetation of Southern Africa. Cambridge University Press, Cambridge, pp 5–20

    Google Scholar 

  • Pausas JG, Austin MP (2001) Patterns of plant species richness in relation to different environments: an appraisal. J Veg Sci 12:153–166

    Article  Google Scholar 

  • Pearson RG, Dawson TP (2005) Long-distance plant dispersal and habitat fragmentation: identifying conservation targets for spatial landscape planning under climate change. Biol Conserv 123:389–401

    Article  Google Scholar 

  • Piqueray J, Bisteau E, Cristofoli S, Palm R, Poschlod P, Mahy G (2011) Plant species extinction debt in a temperate biodiversity hotspot: community, species and functional traits approaches. Biol Conserv 144:1619–1629

    Article  Google Scholar 

  • R Core Team (2015) R: a language and environment for statistical computing, R Foundation for Statistical Computing, Vienna. https://www.R-project.org/

  • Ratter JA, Ribeiro JF, Bridgewater S (1997) The Brazilian Cerrado vegetation and threats to its biodiversity. Ann Bot 80:223–230

    Article  Google Scholar 

  • Ricklefs RE (2004) A comprehensive framework for global patterns in biodiversity. Ecol Lett 7:1–15

    Article  Google Scholar 

  • Ricklefs RE (2006) Evolutionary diversification and the origin of the diversity-environment relationship. Ecology 87:S3–S13

    Article  PubMed  Google Scholar 

  • Schulze RE, Horan MJC (2007) Soils: hydrological attributes. In: Schulze RE (ed) South African atlas of climatology and agrohydrology. Water Research Commission, Pretoria. RSA, WRC Report 1489/1/06, Section 4.2

  • Schulze RE, Lynch SD (2007a) Annual precipitation. In: Schulze RE (ed) South African atlas of climatology and agrohydrology. Water Research Commission, Pretoria. RSA, WRC Report 1489/1/06, Section 6.2

  • Schulze RE, Lynch SD (2007b) Monthly rainfall and its inter-annual variability. In: Schulze RE (ed) South African atlas of climatology and agrohydrology. Water Research Commission, Pretoria. RSA, WRC Report 1489/1/06, Section 6.6

  • Schulze RE, Maharaj M (2007a) Mean annual temperature. In: Schulze RE (ed) South African atlas of climatology and agrohydrology. Water Research Commission, Pretoria. RSA, WRC Report 1489/1/06, Section 7.2

  • Schulze RE, Maharaj M (2007b) Daily maximum temperatures. In: Schulze RE (ed) South African atlas of climatology and agrohydrology. Water Research Commission, Pretoria. RSA, WRC Report 1489/1/06, Section 7.3

  • Schulze RE, Maharaj M (2007c) Daily minimum temperatures. In: Schulze RE (ed) South African atlas of climatology and agrohydrology. Water Research Commission, Pretoria. RSA, WRC Report 1489/1/06, Section 7.5

  • Schulze RE, Maharaj M (2007d) Median first and last dates of heavy frost, their variability, and the duration of the frost period. In: Schulze RE (ed) South African atlas of climatology and agrohydrology. Water Research Commission, Pretoria. RSA, WRC Report 1489/1/06, Section 9.2

  • Schulze RE, Maharaj M (2007e) A-pan equivalent reference potential evaporation. In: Schulze RE (ed) South African atlas of climatology and agrohydrology. Water Research Commission, Pretoria. RSA, WRC Report 1489/1/06, Section 13.2

  • Scott-Shaw CR (1999) Rare and threatened plants of KwaZulu-Natal and neighbouring regions. KwaZulu-Natal Nature Conservation Service, Pietermaritzburg

    Google Scholar 

  • Shackleton CM (2000) Comparison of plant diversity in protected and communal lands in the Bushbuckridge lowveld savanna, South Africa. Biol Conserv 94:273–285

    Article  Google Scholar 

  • Simmons MT, Cowling RM (1996) Why is the Cape Peninsula so rich in plant species? An analysis of the independent diversity components. Biodivers Conserv 5:551–573

    Article  Google Scholar 

  • Socolar JB, Gilroy JJ, Kunin WE, Edwards DP (2016) How should beta-diversity inform biodiversity conservation? Trends Ecol Evol 31:67–80

    Article  PubMed  Google Scholar 

  • Soininen J, Lennon JJ, Hillebrand H (2007) A multivariate analysis of beta diversity across organisms and environments. Ecology 88:2830–2838

    Article  PubMed  Google Scholar 

  • Stevens MHH (2006) Placing local plant species richness in the context of environmental drivers of metacommunity richness. J Ecol 94:58–65

    Article  Google Scholar 

  • Szava-Kovats RC, Pärtel M (2014) Biodiversity patterns along ecological gradients. PLoS One 9(10):e110485. doi:10.1371/journal.pone.0110485

    Article  PubMed  PubMed Central  Google Scholar 

  • Uys RG, Bond WJ, Everson TM (2004) The effect of different fire regimes on plant diversity in Southern African grasslands. Biol Conserv 118:489–499

    Article  Google Scholar 

  • Whittaker RH (1960) Vegetation of the Siskiyou mountains, Oregon and California. Ecol Monogr 30:279–338

    Article  Google Scholar 

  • Whittaker RH (1972) Evolution and measurement of species diversity. Taxon 21:213–251

    Article  Google Scholar 

  • Worboys GL, Ament R, Day JC, Locke H, McClure M, Tabor G, Woodley S (2015) Consultation draft, guidelines for connectivity conservation: part one, definition: connectivity conservation area. IUCN, Gland

    Google Scholar 

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Acknowledgments

Assistance from Matthew Lisk and Matthew Fitzpatrick on the R GDM package and code is gratefully acknowledged. Bursary funding for DJ was gratefully received from SAEON and supported by grant B8749.R01 from the Carnegie Corporation of New York, to the Global Change and Sustainability Research Institute at the University of the Witwatersrand. BFNE is supported by the Exxaro Company of South Africa.

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Correspondence to Debbie Jewitt.

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Communicated by Daniel Sanchez Mata.

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Map of the grassland and savanna vegetation types of KwaZulu-Natal (KZN) (DOCX 854 kb)

10531_2016_1190_MOESM2_ESM.docx

Fig. 1 with the species richness values shown in colour (DOCX 495 kb)

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Jewitt, D., Goodman, P.S., O’Connor, T.G. et al. Mapping landscape beta diversity of plants across KwaZulu-Natal, South Africa, for aiding conservation planning. Biodivers Conserv 25, 2641–2654 (2016). https://doi.org/10.1007/s10531-016-1190-y

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