publication . Preprint . Other literature type . 2017

Different definitions of species presence to refine estimates of local species richness

Alejandro Ruete; Tomas Pärt; Åke Berg; Jonas Knape; Debora Arlt;
Open Access English
  • Published: 07 Jul 2017
  • Publisher: PeerJ
Abstract
Abstract Aim To improve predictions of spatial and temporal patterns of species richness it is important to consider how species presence at a site is defined. This is because this definition affects our estimate of species richness, which should be aligned with the aims of the study, e.g. estimating richness of the breeding community. Here we explore the sensitivity of species richness estimates to criteria for defining presence of species (e.g. in relation to number of days present during the breeding season) at 107 wetlands. Innovation We use opportunistic citizen science data of high density (a total of 151,817 observations of 77 wetland bird species; i.e....
Subjects
free text keywords: Geography, Species richness, Biodiversity informatics, Ecology
Download fromView all 4 versions
Open Access
PeerJ Preprints
Preprint . 2017
Open Access
PeerJ Preprints
Preprint . 2017
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https://peerj.com/preprints/30...
Other literature type . 2017
Provider: Crossref
28 references, page 1 of 2

Amano, T., Lamming, J.D.L. & Sutherland, W.J. (2016) Spatial gaps in global biodiversity information and the role of citizen science. BioScience, biw022.

Berntsson, K.M. & Jonsson, P.R. (2003) Temporal and spatial patterns in recruitment and succession of a temperate marine fouling assemblage: A comparison of static panels and boat hulls during the boating season. Biofouling, 19, 187-195.

Bibby, C.J. (2000) Bird Census Techniques, Elsevier.

Bond, W.J., Volk, J. & Viviers, M. (1984) Variation in seedling recruitment of cape Proteaceae after fire. Journal of Ecology, 72, 209-221.

Calabrese, J.M., Certain, G., Kraan, C. & Dormann, C.F. (2014) Stacking species distribution models and adjusting bias by linking them to macroecological models. Global Ecology and Biogeography, 23, 99-112.

Chapin, F.S., Zavaleta, E.S., Eviner, V.T., Naylor, R.L., Vitousek, P.M., Reynolds, H.L., Hooper, D.U., Lavorel, S., Sala, O.E., Hobbie, S.E., Mack, M.C. & Diaz, S. (2000) Consequences of changing biodiversity. Nature (London), 405, 234-242.

Distler, T., Schuetz, J.G., Velásquez-Tibatá, J. & Langham, G.M. (2015) Stacked species distribution models and macroecological models provide congruent projections of avian species richness under climate change. Journal of Biogeography, 42, 976-988.

Dorazio, R.M., Royle, J.A., Söderström, B. & Glimskär, A. (2006) Estimating species richness and accumulation by modeling species occurrence and detectability. Ecology, 87, 842-854.

Dubuis, A., Pottier, J., Rion, V., Pellissier, L., Theurillat, J.-P. & Guisan, A. (2011) Predicting spatial patterns of plant species richness: a comparison of direct macroecological and species stacking modelling approaches. Diversity and Distributions, 17, 1122-1131. [OpenAIRE]

Graham, C.H., Ferrier, S., Huettman, F., Moritz, C. & Peterson, A.T. (2004) New developments in museum-based informatics and applications in biodiversity analysis. Trends in Ecology & Evolution, 19, 497-503.

Guisan, A. & Rahbek, C. (2011) SESAM - a new framework integrating macroecological and species distribution models for predicting spatio-temporal patterns of species assemblages. Journal of Biogeography, 38, 1433-1444.

Hubbell, S.P. (2001) The unified neutral theory of biodiversity and biogeography, Princeton University Press, Princeton, New Jersey.

Iknayan, K.J., Tingley, M.W., Furnas, B.J. & Beissinger, S.R. (2014) Detecting diversity: emerging methods to estimate species diversity. Trends in Ecology & Evolution, 29, 97-106.

Isaac, N.J.B., van Strien, A.J., August, T.A., de Zeeuw, M.P. & Roy, D.B. (2014) Statistics for citizen science: extracting signals of change from noisy ecological data. Methods in Ecology and Evolution, 5, 1052-1060.

Isbell, F., Gonzalez, A., Loreau, M., Cowles, J., Díaz, S., Hector, A., Mace, G.M., Wardle, D.A., O'Connor, M.I., Duffy, J.E., Turnbull, L.A., Thompson, P.L. & Larigauderie, A. (2017) Linking the influence and dependence of people on biodiversity across scales. Nature, 546, 65-72.

28 references, page 1 of 2
Abstract
Abstract Aim To improve predictions of spatial and temporal patterns of species richness it is important to consider how species presence at a site is defined. This is because this definition affects our estimate of species richness, which should be aligned with the aims of the study, e.g. estimating richness of the breeding community. Here we explore the sensitivity of species richness estimates to criteria for defining presence of species (e.g. in relation to number of days present during the breeding season) at 107 wetlands. Innovation We use opportunistic citizen science data of high density (a total of 151,817 observations of 77 wetland bird species; i.e....
Subjects
free text keywords: Geography, Species richness, Biodiversity informatics, Ecology
Download fromView all 4 versions
Open Access
PeerJ Preprints
Preprint . 2017
Open Access
PeerJ Preprints
Preprint . 2017
Restricted
https://peerj.com/preprints/30...
Other literature type . 2017
Provider: Crossref
28 references, page 1 of 2

Amano, T., Lamming, J.D.L. & Sutherland, W.J. (2016) Spatial gaps in global biodiversity information and the role of citizen science. BioScience, biw022.

Berntsson, K.M. & Jonsson, P.R. (2003) Temporal and spatial patterns in recruitment and succession of a temperate marine fouling assemblage: A comparison of static panels and boat hulls during the boating season. Biofouling, 19, 187-195.

Bibby, C.J. (2000) Bird Census Techniques, Elsevier.

Bond, W.J., Volk, J. & Viviers, M. (1984) Variation in seedling recruitment of cape Proteaceae after fire. Journal of Ecology, 72, 209-221.

Calabrese, J.M., Certain, G., Kraan, C. & Dormann, C.F. (2014) Stacking species distribution models and adjusting bias by linking them to macroecological models. Global Ecology and Biogeography, 23, 99-112.

Chapin, F.S., Zavaleta, E.S., Eviner, V.T., Naylor, R.L., Vitousek, P.M., Reynolds, H.L., Hooper, D.U., Lavorel, S., Sala, O.E., Hobbie, S.E., Mack, M.C. & Diaz, S. (2000) Consequences of changing biodiversity. Nature (London), 405, 234-242.

Distler, T., Schuetz, J.G., Velásquez-Tibatá, J. & Langham, G.M. (2015) Stacked species distribution models and macroecological models provide congruent projections of avian species richness under climate change. Journal of Biogeography, 42, 976-988.

Dorazio, R.M., Royle, J.A., Söderström, B. & Glimskär, A. (2006) Estimating species richness and accumulation by modeling species occurrence and detectability. Ecology, 87, 842-854.

Dubuis, A., Pottier, J., Rion, V., Pellissier, L., Theurillat, J.-P. & Guisan, A. (2011) Predicting spatial patterns of plant species richness: a comparison of direct macroecological and species stacking modelling approaches. Diversity and Distributions, 17, 1122-1131. [OpenAIRE]

Graham, C.H., Ferrier, S., Huettman, F., Moritz, C. & Peterson, A.T. (2004) New developments in museum-based informatics and applications in biodiversity analysis. Trends in Ecology & Evolution, 19, 497-503.

Guisan, A. & Rahbek, C. (2011) SESAM - a new framework integrating macroecological and species distribution models for predicting spatio-temporal patterns of species assemblages. Journal of Biogeography, 38, 1433-1444.

Hubbell, S.P. (2001) The unified neutral theory of biodiversity and biogeography, Princeton University Press, Princeton, New Jersey.

Iknayan, K.J., Tingley, M.W., Furnas, B.J. & Beissinger, S.R. (2014) Detecting diversity: emerging methods to estimate species diversity. Trends in Ecology & Evolution, 29, 97-106.

Isaac, N.J.B., van Strien, A.J., August, T.A., de Zeeuw, M.P. & Roy, D.B. (2014) Statistics for citizen science: extracting signals of change from noisy ecological data. Methods in Ecology and Evolution, 5, 1052-1060.

Isbell, F., Gonzalez, A., Loreau, M., Cowles, J., Díaz, S., Hector, A., Mace, G.M., Wardle, D.A., O'Connor, M.I., Duffy, J.E., Turnbull, L.A., Thompson, P.L. & Larigauderie, A. (2017) Linking the influence and dependence of people on biodiversity across scales. Nature, 546, 65-72.

28 references, page 1 of 2
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