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Abstract:

Understanding the distribution of the species and its controls over biogeographic scales is still a major challenge in ecology. National Park Networks provide an opportunity to assess the relationship between ecosystem functioning and biodiversity in areas with low human impacts. We tested the productivity-biodiversity hypothesis which states that the number of species increases with the available energy, and the variability-biodiversity hypothesis which states that the number of species increases with the diversity of habitats. The available energy and habitat heterogeneity estimated by the normalized difference vegetation index (NDVI) was shown as a good predictor of bird-species richness for a diverse set of biomes in previously published studies. However, there is not a universal relationship between NDVI and bird-species richness. Here we tested if the NDVI can predict bird species richness in areas with low human impact in Argentina. Using a dataset from the National Park Network of Argentina we found that the best predictor of bird species richness was the minimum value of NDVI per year which explained 75% of total variability. The inclusion of the spatial heterogeneity of NDVI improved the explanation power to 80%. Minimum NDVI was highly correlated with precipitation and winter temperature. Our analysis provides a tool for assessing bird-species richness at scales on which land-use planning practitioners make their decisions for Southern South America. © 2015 The Authors.

Registro:

Documento: Artículo
Título:Can temporal and spatial NDVI predict regional bird-species richness?
Autor:Nieto, S.; Flombaum, P.; Garbulsky, M.F.
Filiación:Departamento de Ciencias de la Atmósfera y los Océanos, Facultad de Ciencias Exactas y Naturales - Universidad de Buenos Aires, Ciudad Universitaria C1428 EHA, 2do. Piso, Pabellón II, Ciudad de Buenos Aires, Argentina
Centro de Investigaciones del Mar y la Atmósfera, Instituto Franco-Argentino sobre Estudios de Clima y sus Impactos, Consejo Nacional de Investigaciones Cientificas y Tecnologicas, Ciudad Universitaria C1428 EHA, 2do. Piso, Pabellón II, Ciudad de Buenos Aires, Argentina
Cátedra de Forrajicultura and Instituto de Investigaciones Fisiológicas, Ecológicas Vinculadas a la Agricultura, Facultad de Agronomia - Universidad de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Tecnológicas, Av. San Martín 4453, Ciudad de Buenos Aires, C1417DSE, Argentina
Palabras clave:Baseline conditions; National park network; Primary productivity; Temporal and spatial variability; Aves
Año:2015
Volumen:3
Página de inicio:729
Página de fin:735
DOI: http://dx.doi.org/10.1016/j.gecco.2015.03.005
Título revista:Global Ecology and Conservation
Título revista abreviado:Glob. Ecol. Conserv.
ISSN:23519894
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_23519894_v3_n_p729_Nieto

Referencias:

  • (2011), http://www.sib.gov.ar, Sistema de Información de Biodiversidad; Apellaniz, M., Bellocq, M.I., Filloy, J., Bird diversity patterns in Neotropical temperate farmlands: the role of environmental factors and trophic groups in the spring and autumn (2012) Austral Ecol., 37, pp. 547-555
  • Bacaro, G., Santi, E., Rocchini, D., Pezzo, F., Puglisi, L., Chiarucci, A., Geostatistical modelling of regional bird species richness: exploring environmental proxies for conservation purpose (2011) Biodivers. Conserv., 20, pp. 1677-1694
  • Bellocq, M.I., Gómez-Insausti, R., Raptorial birds and environmental gradients in the southern Neotropics: a test of species-richness hypotheses (2005) Austral Ecol., 30, pp. 892-898
  • Bergen, K.M., Gilboy, A.M., Brown, D.G., Multi-dimensional vegetation structure in modeling avian habitat (2007) Ecol. Inform., 2, pp. 9-22
  • Bonn, A., Storch, D., Gaston, K.J., Structure of the species-energy relationship (2004) Proc. R. Soc. Lond. B Biol. Sci., 271, pp. 1685-1691
  • Chebez, J.C., Rey, N.R., Barbaskas, M., Giacomo, A.G.D., (1999) Las Aves de los Parques Nacionales de la Argentina, , L.O.L.A., Buenos Aires
  • Coops, N.C., Waring, R.H., Wulder, M.A., Pidgeon, A.M., Radeloff, V.C., Bird diversity: a predictable function of satellite-derived estimates of seasonal variation in canopy light absorbance across the United States (2009) J. Biogeogr., 36, pp. 905-918
  • Coops, N.C., Wulder, M.A., Iwanicka, D., Exploring the relative importance of satellite-derived descriptors of production, topography and land cover for predicting breeding bird species richness over Ontario, Canada (2009) Remote Sens. Environ., 113, pp. 668-679
  • Cueto, V.R., De Casenave, J.L., Determinants of bird species richness: role of climate and vegetation structure at a regional scale (1999) J. Biogeogr., 26, pp. 487-492
  • Culbert, P.D., Radeloff, V.C., St-Louis, V., Flather, C.H., Rittenhouse, C.D., Albright, T.P., Pidgeon, A.M., Modeling broad-scale patterns of avian species richness across the Midwestern United States with measures of satellite image texture (2012) Remote Sens. Environ., 118, pp. 140-150
  • Dunn, A.M., Weston, M.A., A review of terrestrial bird atlases of the world and their application (2008) Emu, 108, pp. 42-67
  • Evans, K.L., Greenwood, J.J.D., Gaston, K.J., Dissecting the species-energy relationship (2005) Proc. R. Soc. B: Biol. Sci., 272, pp. 2155-2163
  • Evans, K.L., Warren, P.H., Gaston, K.J., Species-energy relationships at the macroecological scale: a review of the mechanisms (2005) Biol. Rev., 80, pp. 1-25
  • Filloy, J., Bellocq, M.I., Spatial variation in bird species abundances: environmental constraints across southern Neotropical regions (2013) Basic Appl. Ecol., 14, pp. 263-270
  • Garbulsky, M.F., Paruelo, J.M., Remote sensing of protected areas to derive baseline vegetation functioning characteristics (2004) J. Veg. Sci., 15, pp. 711-720
  • Garbulsky, M.F., Peñuelas, J., Papale, D., Ardö, J., Goulden, M.L., Kiely, G., Richardson, A.D., Filella, I., Patterns and controls of the variability of radiation use efficiency and primary productivity across terrestrial ecosystems (2010) Glob. Ecol. Biogeogr., 19, pp. 253-267
  • Guerschman, J.P., Paruelo, J.M., Burke, I.C., Land use impacts on the normalized difference vegetation index in temperate Argentina (2003) Ecol. Appl., 13, pp. 616-628
  • Hawkins, B.A., Summer vegetation, deglaciation and the anomalous bird diversity gradient in eastern North America (2004) Glob. Ecol. Biogeogr., 13, pp. 321-325
  • Hawkins, B.A., Field, R., Cornell, H.V., Currie, D.J., Guegan, J.F., Kaufman, D.M., Kerr, J.T., Turner, J.R.G., Energy, water, and broad-scale geographic patterns of species richness (2003) Ecology, 84, pp. 3105-3117
  • Hawkins, B.A., Porter, E.E., Diniz, J.A.F., Productivity and history as predictors of the latitudinal diversity gradient of terrestrial birds (2003) Ecology, 84, pp. 1608-1623
  • Jarvis, A., Touval, J.L., Schmitz, M.C., Sotomayor, L., Hyman, G.G., Assessment of threats to ecosystems in South America (2010) J. Nat. Conserv., 18, pp. 180-188
  • Jenkins, C.N., Pimm, S.L., Joppa, L.N., Global patterns of terrestrial vertebrate diversity and conservation (2013) Proc. Natl. Acad. Sci., 110, pp. E2602-E2610
  • Kennedy, J.D., Wang, Z., Weir, J.T., Rahbek, C., Fjeldså, J., Price, T.D., Into and out of the tropics: the generation of the latitudinal gradient among New World passerine birds (2014) J. Biogeogr., 41, pp. 1746-1757
  • Kerr, J.T., Ostrovsky, M., From space to species: ecological applications for remote sensing (2003) Trends Ecol. Evolut., 18, pp. 299-305
  • Kerr, J.T., Packer, L., Habitat heterogeneity as a determinant of mammal species richness in high-energy regions (1997) Nature, 385, pp. 252-254
  • Kerr, J.T., Southwood, T.R.E., Cihlar, J., Remotely sensed habitat diversity predicts butterfly species richness and community similarity in Canada (2001) Proc. Natl. Acad. Sci., 98, pp. 11365-11370
  • Kim, K., Byrne, L., Biodiversity loss and the taxonomic bottleneck: emerging biodiversity science (2006) Ecol. Res., 21, pp. 794-810
  • Kosicki, J.Z., Chylarecki, P., Effect of climate, topography and habitat on species-richness of breeding birds in Poland (2012) Basic Appl. Ecol., 13, pp. 475-483
  • Leyequien, E., Verrelst, J., Slot, M., Schaepman-Strub, G., Heitkönig, I.M.A., Skidmore, A., Capturing the fugitive: applying remote sensing to terrestrial animal distribution and diversity (2007) Int. J. Appl. Earth Obs. Geoinf., 9, pp. 1-20
  • Mittelbach, G.G., Steiner, C.F., Scheiner, S.M., Gross, K.L., Reynolds, H.L., Waide, R.B., Willig, M.R., Gough, L., What is the observed relationship between species richness and productivity? (2001) Ecology, 82, pp. 2381-2396
  • Müller, J., Opgenoorth, L., On the gap between science and conservation implementation-a national park perspective (2014) Basic Appl. Ecol., 15, pp. 373-378
  • Myneni, R.B., Hoffman, S., Knyazikhin, Y., Privette, J.L., Glassy, J., Tian, Y., Wang, Y., Running, S.W., Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data (2002) Remote Sens. Environ., 83, pp. 214-231
  • (2014), http://daac.ornl.gov/MODIS/modis.html, Oak Ridge National Laboratory Distributed Active Archive Center MODIS subsetted land products, Collection 5. Available on-line, from ORNL DAAC, Oak Ridge, Tennessee, U.S.A. Accessed Month feb 2014; Peñuelas, J., Sardans, J., Estiarte, M., Ogaya, R., Carnicer, J., Coll, M., Barbeta, A., Jump, A.S., Evidence of current impact of climate change on life: a walk from genes to the biosphere (2013) Global Change Biol., 19, pp. 2303-2338
  • Phillips, L.B., Hansen, A.J., Flather, C.H., Evaluating the species energy relationship with the newest measures of ecosystem energy: NDVI versus MODIS primary production (2008) Remote Sens. Environ., 112, pp. 4381-4392
  • Phillips, L.B., Hansen, A.J., Flather, C.H., Robison-Cox, J., Applying species-energy theory to conservation: a case study for North American birds (2010) Ecol. Appl., 20, pp. 2007-2023
  • Price, B., McAlpine, C.A., Kutt, A.S., Ward, D., Phinn, S.R., Ludwig, J.A., Disentangling how landscape spatial and temporal heterogeneity affects savanna birds (2013) PLoS One, 8
  • Rabinovich, J.E., Rapoport, E.H., Geographical variation of diversity in Argentine passerine birds (1975) J. Biogeogr., 2, pp. 141-157
  • Rahbek, C., Graves, G.R., Multiscale assessment of patterns of avian species richness (2001) Proc. Natl. Acad. Sci., 98, pp. 4534-4539
  • Roldán, M., Carminati, A., Biganzoli, F., Paruelo, J.M., Las reservas privadas ¿son efectivas para conservar las propiedades de los ecosistemas? (2010) Ecol. Austral, 20, pp. 185-199
  • Rowhani, P., Lepczyk, C.A., Linderman, M.A., Pidgeon, A.M., Radeloff, V.C., Culbert, P.D., Lambin, E.F., Variability in energy influences avian distribution patterns across the USA (2008) Ecosystems, 11, pp. 854-867
  • Sarasola, J.H., Bustamante, J., Negro, J.J., Travaini, A., Where do Swainson's hawks winter? Satellite images used to identify potential habitat (2008) Divers. Distrib., 14, pp. 742-753
  • Seghezzo, L., Volante, J.N., Paruelo, J.M., Somma, D.J., Buliubasich, E.C., Rodríguez, H.E., Gagnon, S., Hufty, M., Native forests and agriculture in Salta (Argentina): conflicting visions of development (2011) J. Environ. Dev., 20, pp. 251-277
  • St-Louis, V., Pidgeon, A.M., Clayton, M.K., Locke, B.A., Bash, D., Radeloff, V.C., Satellite image texture and a vegetation index predict avian biodiversity in the Chihuahuan Desert of New Mexico (2009) Ecography, 32, pp. 468-480
  • Tucker, C.J., Red and photographic infrared linear combinations for monitoring vegetation (1979) Remote Sens. Environ., 8, pp. 127-150
  • Weyland, F., Baudry, J., Ghersa, C., A fuzzy logic method to assess the relationship between landscape patterns and bird richness of the Rolling Pampas (2012) Landsc. Ecol., 27, pp. 869-885
  • Yamaura, Y., Amano, T., Kusumoto, Y., Nagata, H., Okabe, K., Climate and topography drives macroscale biodiversity through land-use change in a human-dominated world (2011) Oikos, 120, pp. 427-451

Citas:

---------- APA ----------
Nieto, S., Flombaum, P. & Garbulsky, M.F. (2015) . Can temporal and spatial NDVI predict regional bird-species richness?. Global Ecology and Conservation, 3, 729-735.
http://dx.doi.org/10.1016/j.gecco.2015.03.005
---------- CHICAGO ----------
Nieto, S., Flombaum, P., Garbulsky, M.F. "Can temporal and spatial NDVI predict regional bird-species richness?" . Global Ecology and Conservation 3 (2015) : 729-735.
http://dx.doi.org/10.1016/j.gecco.2015.03.005
---------- MLA ----------
Nieto, S., Flombaum, P., Garbulsky, M.F. "Can temporal and spatial NDVI predict regional bird-species richness?" . Global Ecology and Conservation, vol. 3, 2015, pp. 729-735.
http://dx.doi.org/10.1016/j.gecco.2015.03.005
---------- VANCOUVER ----------
Nieto, S., Flombaum, P., Garbulsky, M.F. Can temporal and spatial NDVI predict regional bird-species richness?. Glob. Ecol. Conserv. 2015;3:729-735.
http://dx.doi.org/10.1016/j.gecco.2015.03.005