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Roggy, J.-C. ;Schimann, H.;Sabatier, D.;Molino, J.-F.;Freycon, V.;Domenach, A.-M. |
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Complementary N Uptake Strategies between Tree Species in Tropical Rainforest |
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2014 |
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International Scholarly Research Notices |
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2014 |
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Article ID 427194 |
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1-6 |
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Within tree communities, the differential use of soil N mineral resources, a key factor in ecosystem functioning, may reflect functional complementarity, a major mechanism that could explain species coexistence in tropical rainforests. Eperua falcata and Dicorynia guianensis, two abundant species cooccurring in rainforests of French Guiana, were chosen as representative of two functional groups with complementary N uptake strategies (contrasting leaf d15N signatures related to the d15N of their soil N source, NO3- or NH4+). The objectives were to investigate if these strategies occurred under contrasted soil N resources in sites with distinct geological substrates representative of the coastal rainforests. Results showed that species displayed contrasting leaf d15N signatures on both substrates, confirming their complementary N uptake strategy. Consequently, their leaf 15N can be used to trace the presence of inorganic N-forms in soils (NH4+ and NO3-) and thus to indicate the capacity of soils to provide each of these two N sources to the plant community. |
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EcoFoG @ webmaster @ |
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576 |
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Hudson, L.N.; Newbold, T.; Contu, S.; Hill, S.L.L.; Lysenko, I.; De Palma, A.; Phillips, H.R.P.; Senior, R.A.; Bennett, D.J.; Booth, H.; Choimes, A.; Correia, D.L.P.; Day, J.; Echeverría-Londoño, S.; Garon, M.; Harrison, M.L.K.; Ingram, D.J.; Jung, M.; Kemp, V.; Kirkpatrick, L.; Martin, C.D.; Pan, Y.; White, H.J.; Aben, J.; Abrahamczyk, S.; Adum, G.B.; Aguilar-Barquero, V.; Aizen, M.A.; Ancrenaz, M.; Arbeláez-Cortés, E.; Armbrecht, I.; Azhar, B.; Azpiroz, A.B.; Baeten, L.; Báldi, A.; Banks, J.E.; Barlow, J.; Batáry, P.; Bates, A.J.; Bayne, E.M.; Beja, P.; Berg, A.; Berry, N.J.; Bicknell, J.E.; Bihn, J.H.; Böhning-Gaese, K.; Boekhout, T.; Boutin, C.; Bouyer, J.; Brearley, F.Q.; Brito, I.; Brunet, J.; Buczkowski, G.; Buscardo, E.; Cabra-García, J.; Calviño-Cancela, M.; Cameron, S.A.; Cancello, E.M.; Carrijo, T.F.; Carvalho, A.L.; Castro, H.; Castro-Luna, A.A.; Cerda, R.; Cerezo, A.; Chauvat, M.; Clarke, F.M.; Cleary, D.F.R.; Connop, S.P.; D'Aniello, B.; da Silva, P.G.; Darvill, B.; Dauber, J.; Dejean, A.; Diekötter, T.; Dominguez-Haydar, Y.; Dormann, C.F.; Dumont, B.; Dures, S.G.; Dynesius, M.; Edenius, L.; Elek, Z.; Entling, M.H.; Farwig, N.; Fayle, T.M.; Felicioli, A.; Felton, A.M.; Ficetola, G.F.; Filgueiras, B.K.C.; Fonte, S.J.; Fraser, L.H.; Fukuda, D.; Furlani, D.; Ganzhorn, J.U.; Garden, J.G.; Gheler-Costa, C.; Giordani, P.; Giordano, S.; Gottschalk, M.S.; Goulson, D.; Gove, A.D.; Grogan, J.; Hanley, M.E.; Hanson, T.; Hashim, N.R.; Hawes, J.E.; Hébert, C.; Helden, A.J.; Henden, J.-A.; Hernández, L.; Herzog, F.; Higuera-Diaz, D.; Hilje, B.; Horgan, F.G.; Horváth, R.; Hylander, K.; Isaacs-Cubides, P.; Ishitani, M.; Jacobs, C.T.; Jaramillo, V.J.; Jauker, B.; Jonsell, M.; Jung, T.S.; Kapoor, V.; Kati, V.; Katovai, E.; Kessler, M.; Knop, E.; Kolb, A.; Korösi, Á.; Lachat, T.; Lantschner, V.; Le Féon, V.; Lebuhn, G.; Légaré, J.-P.; Letcher, S.G.; Littlewood, N.A.; López-Quintero, C.A.; Louhaichi, M.; Lövei, G.L.; Lucas-Borja, M.E.; Luja, V.H.; Maeto, K.; Magura, T.; Mallari, N.A.; Marin-Spiotta, E.; Marshall, E.J.P.; Martínez, E.; Mayfield, M.M.; Mikusinski, G.; Milder, J.C.; Miller, J.R.; Morales, C.L.; Muchane, M.N.; Muchane, M.; Naidoo, R.; Nakamura, A.; Naoe, S.; Nates-Parra, G.; Navarrete Gutierrez, D.A.; Neuschulz, E.L.; Noreika, N.; Norfolk, O.; Noriega, J.A.; Nöske, N.M.; O'Dea, N.; Oduro, W.; Ofori-Boateng, C.; Oke, C.O.; Osgathorpe, L.M.; Paritsis, J.; Parra-H, A.; Pelegrin, N.; Peres, C.A.; Persson, A.S.; Petanidou, T.; Phalan, B.; Philips, T.K.; Poveda, K.; Power, E.F.; Presley, S.J.; Proença, V.; Quaranta, M.; Quintero, C.; Redpath-Downing, N.A.; Reid, J.L.; Reis, Y.T.; Ribeiro, D.B.; Richardson, B.A.; Richardson, M.J.; Robles, C.A.; Römbke, J.; Romero-Duque, L.P.; Rosselli, L.; Rossiter, S.J.; Roulston, T.H.; Rousseau, L.; Sadler, J.P.; Sáfián, S.; Saldaña-Vázquez, R.A.; Samnegård, U.; Schüepp, C.; Schweiger, O.; Sedlock, J.L.; Shahabuddin, G.; Sheil, D.; Silva, F.A.B.; Slade, E.M.; Smith-Pardo, A.H.; Sodhi, N.S.; Somarriba, E.J.; Sosa, R.A.; Stout, J.C.; Struebig, M.J.; Sung, Y.-H.; Threlfall, C.G.; Tonietto, R.; Tóthmérész, B.; Tscharntke, T.; Turner, E.C.; Tylianakis, J.M.; Vanbergen, A.J.; Vassilev, K.; Verboven, H.A.F.; Vergara, C.H.; Vergara, P.M.; Verhulst, J.; Walker, T.R.; Wang, Y.; Watling, J.I.; Wells, K.; Williams, C.D.; Willig, M.R.; Woinarski, J.C.Z.; Wolf, J.H.D.; Woodcock, B.A.; Yu, D.W.; Zaitsev, A.S.; Collen, B.; Ewers, R.M.; Mace, G.M.; Purves, D.W.; Scharlemann, J.P.W.; Purvis, A. |
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The PREDICTS database: A global database of how local terrestrial biodiversity responds to human impacts |
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2014 |
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Ecology and Evolution |
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Ecology and Evolution |
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4 |
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24 |
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4701-4735 |
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Data sharing; Global change; Habitat destruction; Land use |
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Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species' threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project – and avert – future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1% of the total number of all species described, and more than 1% of the described species within many taxonomic groups – including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems – www.predicts.org.uk). We make site-level summary data available alongside this article. The full database will be publicly available in 2015. The collation of biodiversity datasets with broad taxonomic and biogeographic extents is necessary to understand historical declines and to project – and hopefully avert – future declines. We describe a newly collated database of more than 1.6 million biodiversity measurements from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. |
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Centre for Biodiversity and Environment Research, Department of Genetics, Evolution and Environment, University College London, Gower StreetLondon, United Kingdom |
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Export Date: 6 January 2015 |
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EcoFoG @ webmaster @ |
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577 |
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Lalague, H.; Csilléry, K.; Oddou-Muratorio, S.; Safrana, J.; de Quattro, C.; Fady, B.; González-Martínez, S.C.; Vendramin, G.G. |
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Nucleotide diversity and linkage disequilibrium at 58 stress response and phenology candidate genes in a European beech (Fagus sylvatica L.) population from southeastern France |
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2014 |
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Tree Genetics and Genomes |
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Tree Genetics and Genomes |
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10 |
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1 |
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15-26 |
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Climate adaptation; Effective population size; Forest tree; Genomic diversity; Minor allele frequency (MAF); Recombination rate; Single nucleotide polymorphism (SNP) |
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European beech (Fagus sylvatica L.) is one of the most economically and ecologically important deciduous trees in Europe, yet little is known about its genomic diversity and its adaptive potential. Here, we detail the discovery and analysis of 573 single nucleotide polymorphisms (SNPs) from 58 candidate gene fragments that are potentially involved in abiotic stress response and budburst phenology using a panel of 96 individuals from southeastern France. The mean nucleotide diversity was low (θ π = 2.2 × 10-3) but extremely variable among gene fragments (range from 0.02 to 10), with genes carrying insertion/deletion mutations exhibiting significantly higher diversity. The decay of linkage disequilibrium (LD) measured at gene fragments >800 base pairs was moderate (the half distance of r 2 was 154 bp), consistent with the low average population-scaled recombination rate (ρ = 5.4 × 10-3). Overall, the population-scaled recombination rate estimated in F. sylvatica was lower than for other angiosperm tree genera (such as Quercus or Populus) and similar to conifers. As a methodological perspective, we explored the effect of minimum allele frequency (MAF) on LD and showed that higher MAF resulted in slower decay of LD. It is thus essential that the same MAF is used when comparing the decay of LD among different studies and species. Our results suggest that genome-wide association mapping can be a potentially efficient approach in F. sylvatica, which has a relatively small genome size. © 2013 Springer-Verlag Berlin Heidelberg. |
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Department of Forest Ecology and Genetics, National Institute for Agriculture and Food Research and Technology (INIA), Forest Research Centre (CIFOR), 28040 Madrid, Spain |
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Cited By :1; Export Date: 13 January 2015 |
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EcoFoG @ webmaster @ |
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578 |
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Csilléry, K.; Lalague, H.; Vendramin, G.G.; González-Martínez, S.C.; Fady, B.; Oddou-Muratorio, S. |
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Detecting short spatial scale local adaptation and epistatic selection in climate-related candidate genes in European beech (Fagus sylvatica) populations |
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2014 |
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Molecular Ecology |
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Molecular Ecology |
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23 |
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19 |
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4696-4708 |
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abiotic stress; budburst phenology; FST outlier; gene network; haplotype; Ohta's test; variance components of linkage disequilibrium |
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Detecting signatures of selection in tree populations threatened by climate change is currently a major research priority. Here, we investigated the signature of local adaptation over a short spatial scale using 96 European beech (Fagus sylvatica L.) individuals originating from two pairs of populations on the northern and southern slopes of Mont Ventoux (south-eastern France). We performed both single and multilocus analysis of selection based on 53 climate-related candidate genes containing 546 SNPs. FST outlier methods at the SNP level revealed a weak signal of selection, with three marginally significant outliers in the northern populations. At the gene level, considering haplotypes as alleles, two additional marginally significant outliers were detected, one on each slope. To account for the uncertainty of haplotype inference, we averaged the Bayes factors over many possible phase reconstructions. Epistatic selection offers a realistic multilocus model of selection in natural populations. Here, we used a test suggested by Ohta based on the decomposition of the variance of linkage disequilibrium. Overall populations, 0.23% of the SNP pairs (haplotypes) showed evidence of epistatic selection, with nearly 80% of them being within genes. One of the between gene epistatic selection signals arose between an FST outlier and a nonsynonymous mutation in a drought response gene. Additionally, we identified haplotypes containing selectively advantageous allele combinations which were unique to high or low elevations and northern or southern populations. Several haplotypes contained nonsynonymous mutations situated in genes with known functional importance for adaptation to climatic factors. |
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CIFOR-INIA, Forest Research Centre, Carretera de La Coruña km 7.5Madrid 28040, Spain |
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Export Date: 13 January 2015 |
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EcoFoG @ webmaster @ |
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579 |
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Réjou-Méchain, M.; Muller-Landau, H.C.; Detto, M.; Thomas, S.C.; Le Toan, T.; Saatchi, S.S.; Barreto-Silva, J.S.; Bourg, N.A.; Bunyavejchewin, S.; Butt, N.; Brockelman, W.Y.; Cao, M.; Cárdenas, D.; Chiang, J.-M.; Chuyong, G.B.; Clay, K.; Condit, R.; Dattaraja, H.S.; Davies, S.J.; Duque, A.; Esufali, S.; Ewango, C.; Fernando, R.H.S.; Fletcher, C.D.; N. Gunatilleke, I.A.U.; Hao, Z.; Harms, K.E.; Hart, T.B.; Herault, B.; Howe, R.W.; Hubbell, S.P.; Johnson, D.J.; Kenfack, D.; Larson, A.J.; Lin, L.; Lin, Y.; Lutz, J.A.; Makana, J.-R.; Malhi, Y.; Marthews, T.R.; Mcewan, R.W.; Mcmahon, S.M.; Mcshea, W.J.; Muscarella, R.; Nathalang, A.; Noor, N.S.M.; Nytch, C.J.; Oliveira, A.A.; Phillips, R.P.; Pongpattananurak, N.; Punchi-Manage, R.; Salim, R.; Schurman, J.; Sukumar, R.; Suresh, H.S.; Suwanvecho, U.; Thomas, D.W.; Thompson, J.; Uríarte, M.; Valencia, R.; Vicentini, A.; Wolf, A.T.; Yap, S.; Yuan, Z.; Zartman, C.E.; Zimmerman, J.K.; Chave, J. |
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Local spatial structure of forest biomass and its consequences for remote sensing of carbon stocks |
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Journal Article |
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2014 |
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Biogeosciences |
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Biogeosciences |
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11 |
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23 |
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6827-6840 |
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Advances in forest carbon mapping have the potential to greatly reduce uncertainties in the global carbon budget and to facilitate effective emissions mitigation strategies such as REDD+ (Reducing Emissions from Deforestation and Forest Degradation). Though broad-scale mapping is based primarily on remote sensing data, the accuracy of resulting forest carbon stock estimates depends critically on the quality of field measurements and calibration procedures. The mismatch in spatial scales between field inventory plots and larger pixels of current and planned remote sensing products for forest biomass mapping is of particular concern, as it has the potential to introduce errors, especially if forest biomass shows strong local spatial variation. Here, we used 30 large (8-50 ha) globally distributed permanent forest plots to quantify the spatial variability in aboveground biomass density (AGBD in Mg ha-1) at spatial scales ranging from 5 to 250 m (0.025-6.25 ha), and to evaluate the implications of this variability for calibrating remote sensing products using simulated remote sensing footprints. We found that local spatial variability in AGBD is large for standard plot sizes, averaging 46.3% for replicate 0.1 ha subplots within a single large plot, and 16.6% for 1 ha subplots. AGBD showed weak spatial autocorrelation at distances of 20-400 m, with autocorrelation higher in sites with higher topographic variability and statistically significant in half of the sites. We further show that when field calibration plots are smaller than the remote sensing pixels, the high local spatial variability in AGBD leads to a substantial “dilution” bias in calibration parameters, a bias that cannot be removed with standard statistical methods. Our results suggest that topography should be explicitly accounted for in future sampling strategies and that much care must be taken in designing calibration schemes if remote sensing of forest carbon is to achieve its promise. |
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Institute of Biology University of the Philippines DilimanQuezon City, Philippines |
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Cited By :1; Export Date: 30 January 2015 |
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EcoFoG @ webmaster @ |
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582 |
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Baraloto, C.; Alverga, P.; Quispe, S.B.; Barnes, G.; Chura, N.B.; Da Silva, I.B.; Castro, W.; Da Souza, H.; De Souza Moll, I.; Del Alcazar Chilo, J.; Linares, H.D.; Quispe, J.G.; Kenji, D.; Medeiros, H.; Murphy, S.; Rockwell, C.A.; Shenkin, A.; Silveira, M.; Southworth, J.; Vasquez, G.; Perz, S. |
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Trade-offs among forest value components in community forests of southwestern Amazonia |
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Journal Article |
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2014 |
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Ecology and Society |
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Ecology and Society |
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19 |
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4 |
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56 |
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Açai; Biodiversity conservation; Brazil nut; Carbon stocks; Livelihood; Ntfp; Redd; Rubber; Timber; Tropical rainforest |
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Contemporary conservation interventions must balance potential trade-offs between multiple ecosystem services. In tropical forests, much attention has focused on the extent to which carbon-based conservation provided by REDD+ policies can also mitigate biodiversity conservation. In the nearly one-third of tropical forests that are community owned or managed, conservation strategies must also balance the multiple uses of forest products that support local livelihoods. Although much discussion has focused on policy options, little empirical evidence exists to evaluate the potential for trade-offs among different tropical forest value components. We assessed multiple components of forest value, including tree diversity, carbon stocks, and both timber and nontimber forest product resources, in forest communities across the trinational frontier of Brazil, Peru, and Bolivia. We installed 69 0.5-ha vegetation plots in local communities, and we characterized 15 components of forest value for each plot. Principal components analyses revealed two major axes of forest value, the first of which defined a trade-off between diversity of woody plant communities (taxonomic and functional) versus aboveground biomass and standing timber volume. The second axis described abundance of commercial species, with strong positive loadings for density of timber and nontimber forest products, including Brazil nut (Bertholletia excelsa) and copaiba oil (Copaifera spp.). The observed trade-off between different components of forest value suggests a potential for management conflicts prioritizing biodiversity conservation versus carbon stocks in the region. We discuss the potential for integrative indices of forest value for tropical forest conservation. |
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Department of Sociology and Criminology and Law, University of Florida, United States |
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Export Date: 23 March 2015 |
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EcoFoG @ webmaster @ |
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589 |
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Barantal, S.; Schimann, H.; Fromin, N.; Hättenschwiler, S. |
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C, N and P fertilization in an Amazonian rainforest supports stoichiometric dissimilarity as a driver of litter diversity effects on decomposition |
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2014 |
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Proceedings. Biological sciences / The Royal Society |
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Proceedings. Biological sciences / The Royal Society |
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281 |
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1796 |
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20141682 |
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litter diversity; neotropical forest; nutrient addition; soil fauna; stoichiometry; trait dissimilarity |
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Plant leaf litter generally decomposes faster as a group of different species than when individual species decompose alone, but underlying mechanisms of these diversity effects remain poorly understood. Because resource C : N : P stoichiometry (i.e. the ratios of these key elements) exhibits strong control on consumers, we supposed that stoichiometric dissimilarity of litter mixtures (i.e. the divergence in C : N : P ratios among species) improves resource complementarity to decomposers leading to faster mixture decomposition. We tested this hypothesis with: (i) a wide range of leaf litter mixtures of neotropical tree species varying in C : N : P dissimilarity, and (ii) a nutrient addition experiment (C, N and P) to create stoichiometric similarity. Litter mixtures decomposed in the field using two different types of litterbags allowing or preventing access to soil fauna. Litter mixture mass loss was higher than expected from species decomposing singly, especially in presence of soil fauna. With fauna, synergistic litter mixture effects increased with increasing stoichiometric dissimilarity of litter mixtures and this positive relationship disappeared with fertilizer addition. Our results indicate that litter stoichiometric dissimilarity drives mixture effects via the nutritional requirements of soil fauna. Incorporating ecological stoichiometry in biodiversity research allows refinement of the underlying mechanisms of how changing biodiversity affects ecosystem functioning. © 2014 The Author(s) Published by the Royal Society. All rights reserved. |
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Centre d'Ecologie Fonctionnelle et Evolutive (CEFE UMR 5175, CNRS-Université de Montpellier-Université Paul-Valéry Montpellier-EPHE), 1919 Route de MENDE, 34293 Montpellier Cedex 5, France |
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Export Date: 24 July 2015 |
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613 |
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Moore, A.L.; McCarthy, M.A.; Parris, K.M.; Moore, J.L. |
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The optimal number of surveys when detectability varies |
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Journal Article |
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2014 |
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PLoS ONE |
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PLoS ONE |
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9 |
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12 |
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e115345 |
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The survey of plant and animal populations is central to undertaking field ecology. However, detection is imperfect, so the absence of a species cannot be determined with certainty. Methods developed to account for imperfect detectability during surveys do not yet account for stochastic variation in detectability over time or space. When each survey entails a fixed cost that is not spent searching (e.g., time required to travel to the site), stochastic detection rates result in a trade-off between the number of surveys and the length of each survey when surveying a single site. We present a model that addresses this trade-off and use it to determine the number of surveys that: 1) maximizes the expected probability of detection over the entire survey period; and 2) is most likely to achieve a minimally-acceptable probability of detection. We illustrate the applicability of our approach using three practical examples (minimum survey effort protocols, number of frog surveys per season, and number of quadrats per site to detect a plant species) and test our model's predictions using data from experimental plant surveys. We find that when maximizing the expected probability of detection, the optimal survey design is most sensitive to the coefficient of variation in the rate of detection and the ratio of the search budget to the travel cost. When maximizing the likelihood of achieving a particular probability of detection, the optimal survey design is most sensitive to the required probability of detection, the expected number of detections if the budget were spent only on searching, and the expected number of detections that are missed due to travel costs. We find that accounting for stochasticity in detection rates is likely to be particularly important for designing surveys when detection rates are low. Our model provides a framework to do this. © 2014 Moore et al. |
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School of Biological Sciences, Monash University, Melbourne, VIC, Australia |
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Export Date: 8 September 2015 |
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EcoFoG @ webmaster @ |
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618 |
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Bompy, F.; Lequeue, G.; Imbert, D.; Dulormne, M. |
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Increasing fluctuations of soil salinity affect seedling growth performances and physiology in three Neotropical mangrove species |
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2014 |
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Plant and Soil |
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Plant and Soil |
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380 |
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1 |
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399-413 |
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Acclimation; Avicennia germinans; Hypersalinity; Laguncularia racemosa; Leaf gas exchange; Rhizophora mangle; Salt stress |
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Background: Micro-tidal wetlands are subject to strong seasonal variations of soil salinity that are likely to increase in amplitude according to climate model predictions for the Caribbean. Whereas the effects of constant salinity levels on the physiology of mangrove species have been widely tested, little is known about acclimation to fluctuations in salinity. Aims and methods: The aim of this experiment was to characterize the consequences of the rate of increase in salinity (slow versus fast) and salinity fluctuations over time versus constant salt level. Seedling mortality, growth, and leaf gas exchange of three mangrove species, Avicennia germinans, Laguncularia racemosa, and Rhizophora mangle were investigated in semicontrolled conditions at different salt levels (0, 685, 1025, and 1370 mM NaCl). Results: Slow salinity increase up to 685 mM induced acclimation, improving the salt tolerance of A. germinans and L. racemosa, but had no effect on R. mangle. During fluctuations between 0 and 685 mM, A. germinans and R. mangle were not affected by a salinity drop to zero, whereas L. racemosa took advantage of the brief freshwater episode as shown by the durable improvement of photosynthesis and biomass production. Conclusions: This study provides new insights into physiological resistance and acclimation to salt stress. We show that seasonal variations of salinity may affect mangrove seedlings' morphology and physiology as much as annual mean salinity. Moreover, more severe dry seasons due to climate change may impact tree stature and species composition in mangroves through higher mortality rates and physiological disturbance at the seedling stage. © 2014 Springer International Publishing Switzerland. |
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EA 926 DYNECAR, UFR des Sciences Exactes et Naturelles, Université des Antilles et de la Guyane, BP 592, 97 159 Pointe-à-Pitre cedex, Guadeloupe (F.W.I.), France |
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Cited By :7; Export Date: 7 February 2017 |
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EcoFoG @ webmaster @ |
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726 |
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Hmimina, G.; Dufrêne, E.; Pontailler, J.-Y.; Delpierre, N.; Aubinet, M.; Caquet, B.; de Grandcourt, A.; Burban, B.; Flechard, C.; Granier, A.; Gross, P.; Heinesch, B.; Longdoz, B.; Moureaux, C.; Ourcival, J.-M.; Rambal, S.; Saint André, L.; Soudani, K. |
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Evaluation of the potential of MODIS satellite data to predict vegetation phenology in different biomes: An investigation using ground-based NDVI measurements |
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2013 |
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Remote Sensing of Environment |
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132 |
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145-158 |
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Crops; Deciduous forests; Evergreen forests; Ground-based NDVI; Modis; Phenology |
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Vegetation phenology is the study of the timing of seasonal events that are considered to be the result of adaptive responses to climate variations on short and long time scales. In the field of remote sensing of vegetation phenology, phenological metrics are derived from time series of optical data. For that purpose, considerable effort has been specifically focused on developing noise reduction and cloud-contaminated data removal techniques to improve the quality of remotely-sensed time series. Comparative studies between time series composed of satellite data acquired under clear and cloudy conditions and from radiometric data obtained with high accuracy from ground-based measurements constitute a direct and effective way to assess the operational use and limitations of remote sensing for predicting the main plant phenological events. In the present paper, we sought to explicitly evaluate the potential use of MODerate resolution Imaging Spectroradiometer (MODIS) remote sensing data for monitoring the seasonal dynamics of different types of vegetation cover that are representative of the major terrestrial biomes, including temperate deciduous forests, evergreen forests, African savannah, and crops. After cloud screening and filtering, we compared the temporal patterns and phenological metrics derived from in situ NDVI time series and from MODIS daily and 16-composite products. We also evaluated the effects of residual noise and the influence of data gaps in MODIS NDVI time series on the identification of the most relevant metrics for vegetation phenology monitoring. The results show that the inflexion points of a model fitted to a MODIS NDVI time series allow accurate estimates of the onset of greenness in the spring and the onset of yellowing in the autumn in deciduous forests (RMSE ≤ one week). Phenological metrics identical to those provided with the MODIS Global Vegetation Phenology product (MDC12Q2) are less robust to data gaps, and they can be subject to large biases of approximately two weeks or more during the autumn phenological transitions. In the evergreen forests, in situ NDVI time series describe the phenology with high fidelity despite small temporal changes in the canopy foliage. However, MODIS is unable to provide consistent phenological patterns. In crops and savannah, MODIS NDVI time series reproduce the general temporal patterns of phenology, but significant discrepancies appear between MODIS and ground-based NDVI time series during very localized periods of time depending on the weather conditions and spatial heterogeneity within the MODIS pixel. In the rainforest, the temporal pattern exhibited by a MODIS 16-day composite NDVI time series is more likely due to a pattern of noise in the NDVI data structure according to both rainy and dry seasons rather than to phenological changes. More investigations are needed, but in all cases, this result leads us to conclude that MODIS time series in tropical rainforests should be interpreted with great caution. © 2013 Elsevier Inc. |
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INRA, Unité Biogéochimie des Ecosystèmes Forestiers, Champenoux, France |
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Export Date: 21 February 2013; Source: Scopus |
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EcoFoG @ webmaster @ |
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467 |
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