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Resumenes 122 azedarach) in El Palmar National Park Using ETM Landsat images El Palmar National Park (EPNP) is a 8400 Ha relict of temperate savannas of Butia yatay palms with serious conservation threats due to exotic woody expansion, mainly produced by chinaberry (Melia azedarach). In this presentation we assess the ability of several supervised machine learning approaches to detect the stage of invasion from Landsat ETM spectral data. Data were compiled from non-differencial GPS located vegetation samples, which were classified as not-invaded, incipient and established, according to the presence and relative age of Melia trees. Spectral data for these locations were extracted from two Landsat ETM radiometric and geometrically calibrated images, corresponding to winter 2000 and summer 2001. A 3x3 pixel window was used to reduce the effect of positional errors. Five different learning approaches were used: Naive Bayes, k-nearest neighbors (k-nn), C4.5 decision trees, Jrip rules, and a backpropagation thrilayered perceptron neural net. Performance was evaluated using ROC curves, confusion matrices, total positive rate and total false positive rate. The following variables resulted selected as indicators of invasion stage: summer-winter differences in the near infrared spectral reflectance, NDVI, SAVI and NDWI; summer reflectance in the blue region, and winter reflectance in the middle infrared. Not-invaded and established stages could be identified by all methods with greater than 70% confidence. The incipient stage instead, which is the most critical in terms of park management decisions, was detected with acceptable performance only by 1-nn and neural nets with very long training periods. The use of k-nn as classification algorithm in satellite image processing looks promising because it is both easy to implement for semestral monitoring, and to interpret conceptually by park managers.
Resumenes 123 Refúgios Espaciais e Movimento Orientado em um Modelo Parasitóide-Hospedeiro Diomar Cristina Mistro 1 , Maria Cristina Varriale 2 e Veraci Lúcia Grings 2 1 Departamento de Matemática, UFSM Santa Maria, RS, Brasil dcmistro@smail.ufsm.br 2 Instituto de Matemática, UFRGS Porto Alegre, RS, Brasil cris@mat.ufrgs.br Uma questão fundamental em Ecologia é a coexistência de espécies. Sabe-se que em meios homogêneos, as populações de parasitóides e hospedeiros com gerações discretas, descritas pelo modelo de Nicholson- Bailey, não apresentam persistência, freqüentemente observada na natureza. Um sistema parasitóide-hospedeiro, descrito por este modelo, apresentará oscilações divergentes que conduzem à extinção global. Em meios heterogêneos, entretanto, a dispersão difusiva tem um efeito estabilizante e conduz à coexistência das espécies para tempos suficientemente grandes (Hassell et al.,1991). Refúgios espaciais que representam locais físicos nos quais uma fração da população dos hospedeiros pode recolher-se para proteger-se dos parasitóides. Os refúgios servem como sítios de preservação de espécies vulneráveis que, de outra maneira, poderiam tornar-se extintas. Tais sítios também beneficiam indiretamente as espécies parasitóides, uma vez que uma reposição maior de hospedeiros nas áreas desprotegidas, garante uma fonte constante de alimento. Além da questão dos refúgios espaciais, outro ponto importante é o da taxia dos parasitóides. Grande parte dos modelos, na literatura da área, consideram que os parasitóides procuram por seus hospedeiros aleatoriamente. Sabe-se, entretanto, que parasitas tendem a se agregar nas regiões de maior concentração de hospedeiros, o que invalida, portanto, a hipótese de procura aleatória de presas. Neste trabalho, consideramos um modelo de reticulado de mapas acoplados, no qual os indivíduos de ambas as populações se movimentam em um domínio bidimensional. Através destes modelos analisamos os efeitos de refúgios espaciais para os hospedeiros e da movimentação direcionada dos parasitóides, sobre a dinâmica parasitóide-hospedeiro de Nicholson-Bailey. The Role of Spatial Refuge and Oriented Movement on the Host-Parasitoid Model A very important question in Ecology is the coexistence of species. In homogeneous habitats, the nontrivial equilibrium of discrete Nicholson- Bailey model is never stable. However, when individuals are allowed to disperse to neighboring patches, the host and parasitoid populations can persist together (Hassell et al., 1991). Spatial refuges are sites where a fraction of hosts may hide and be protected against the parasitoid. Spatial refuges operate as preservation sites for vulnerable species, that otherwise could go to extinction. Another
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ORGANIZADO POR LA SOCIEDAD LATINOAM
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(en orden alfabético) COMITÉ CIEN
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CURSILLOS Cursillo Nº1: Dinámica
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CONFERENCIAS INVITADAS
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Conferencias 10 Estabilidad y persi
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Conferencias 12 (K, the ‘carrying
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Conferencias 14 Víctimas Inmigrant
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Conferencias 16 Influencia de la di
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Resumenes 19 Bifurcaciones de Hopf
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Resumenes 21 where y = y(t) represe
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Resumenes 23 Dinámica del modelo d
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Resumenes 25 In this work, we propo
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Resumenes 27 Simulação computacio
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Resumenes 29 of the minisymposium:
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Resumenes 31 Honeybee, Apis mellife
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Resumenes 33 The minimum ratio is t
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Resumenes 35 [1] On the role of end
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Resumenes 37 Modelo matemático de
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Resumenes 39 Figure 1: Plano de fas
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Resumenes 41 Dinámica de poblacion
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Resumenes 43 El método de las solu
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Resumenes 45 Dinámica de un tumor
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Resumenes 47 Several cancer models
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Resumenes 49 process is physically
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Resumenes 51 For the analysis of fr
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Resumenes 53 Sustainability in floo
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Resumenes 55 Sincronismo em redes d
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Resumenes 57 Um modelo de autômato
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Resumenes 59 Um modelo matemático
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Resumenes 61 Redes de mapas acoplad
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Resumenes 63 Sobre la dinámica de
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Resumenes 65 Un modelo de depredaci
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Resumenes 67 There exists wide evid
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Resumenes 69 Modelado del control n
Page 73 and 74: Resumenes 71 Modelo de red neuronal
Page 75 and 76: Resumenes 73 Efectos de la radiaci
Page 77 and 78: Resumenes 75 Un modelo matemático
Page 79 and 80: Resumenes 77 Estudio comparativo de
Page 81 and 82: Resumenes 79 Introduction The proje
Page 83 and 84: Resumenes 81 formulation to obtain
Page 85 and 86: Resumenes 83 tiene un único punto
Page 87 and 88: Resumenes 85 [4] Courchamp, F., Clu
Page 89 and 90: Resumenes 87 An important part of a
Page 91 and 92: Resumenes 89 A(H3N2). Starting in V
Page 93 and 94: Resumenes 91 i) Panmixia, donde se
Page 95 and 96: Resumenes 93 punto de equilibrio y
Page 97 and 98: Resumenes 95 Un modelo epidemiológ
Page 99 and 100: Resumenes 97 Aproximación saddlepo
Page 101 and 102: Resumenes 99 [3] Daniels, H. E. 196
Page 103 and 104: Resumenes 101 bloqueados. El nudo q
Page 105 and 106: Resumenes 103 Referencias • Stauf
Page 107 and 108: Resumenes 105 Un modelo dinámico d
Page 109 and 110: Resumenes 107 Un modelo en ecuacion
Page 111 and 112: Resumenes 109 The mite show a prefe
Page 113 and 114: Resumenes 111 Ondas viajantes en un
Page 115 and 116: Resumenes 113 [5] Pregnolatto S. de
Page 117 and 118: Resumenes 115 All this will enable
Page 119 and 120: Resumenes 117 Extensión de un mode
Page 121 and 122: Resumenes 119 ∂C ∂C C = 0. = 0.
Page 123: Resumenes 121 Comparación de Enfoq
Page 127 and 128: Resumenes 125 La dinámica del sest
Page 129 and 130: Resumenes 127 Dinámica poblacional
Page 131 and 132: Resumenes 129 Aproximación y simul
Page 133 and 134: Resumenes 131 An age-structured fin
Page 135 and 136: Resumenes 133 Respuestas demográfi
Page 137 and 138: Resumenes 135 Modelando el efecto A
Page 139 and 140: Resumenes 137 the Allee effect are
Page 141 and 142: Resumenes 139 Tratamientos de endom
Page 143 and 144: Resumenes 141 Implicaciones del efe
Page 145 and 146: Resumenes 143 phenomenon has been e
Page 147 and 148: Resumenes 145 Dinámica individual
Page 149 and 150: Resumenes 147 • f mixing ⇔ f mi
Page 151 and 152: Resumenes 149 Introduction The inve
Page 153 and 154: Resumenes 151 DNA microarrays are t
Page 155 and 156: Resumenes 153 V. Cholerae: Primeros
Page 157 and 158: Resumenes 155 Análisis cuantitativ
Page 159 and 160: Resumenes 157 Dinámica de un model
Page 161 and 162: Resumenes 159 Obtención de paráme
Page 163 and 164: Resumenes 161 [4] Nagy K. A (1987)
Page 165 and 166: Resumenes 163 diferencial automáti
Page 167 and 168: Resumenes 165 The localized peaks S
Page 169 and 170: Resumenes 167 obteniéndose que sie
Page 171 and 172: Resumenes 169 [CLARK 90] Clark, C.
Page 173 and 174: Resumenes 171 Numerical algorithms
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Resumenes 173 The second method of
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Resumenes 175 los parámetros son t
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Resumenes 177 Bifurcación hacia at
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Resumenes 179 Malaria is the tropic
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