Phytosociology of the remaining xerophytic woodland associated to an environmental gradient at the banks of the São Francisco river - Petrolina, Pernambuco, Brazil1

Floristic and phytosociological surveys were carried out for 12 months in the Embrapa-SPSB, Petrolina, Pernambuco, Brazil. A transect was laid on starting at the river bank extending for 790 m away from the river and divided into 140 10 × 10 m contiguous plots. In each plot, all standing plants, alive or dead, with stem diameter at soil level ? 3 cm and total height ? 1 m were sampled. Along this transect, an elevation range of 9.40 m was registered and five topographical environments were identified: riverside (MR), dike (D), floodable depression (DI), boundary terrace (TL) - all of them belonging to the fluvial terrace with Fluvic Neosol and Haplic Cambisol both silty textured eutrophic soils - and the inlander tableland (TS), with medium sandy-textured Red-Yellow Argisols. Fourty-eight species/morphospecies, distributed into 39 genera and 21 families, were identified. Four phytogeoenvironments (MR, D + TL, DI + TL, and TS) were registered based on environmental variations and floristic similarities among plots using cluster analyses. The MR environment showed the largest total density, total basal area, maximum and medium heights and maximum diameter. Moreover, it had 8.1% of plants with heights above 8 m against 0.6% for D + TL, 0.2% for DI + TL, and 0% for TS. The species with the largest importance value were Inga vera subsp. affinis (DC.) T.D. Pennington in MR, Mimosa bimucronata Kunth in D + TL and DI + TL and M. tenuiflora (Willd.) Poir. in TS.

Régime thermique en période de maturation du raisin dans le géoclimat viticole.

Mots clés :indice de fraîcheur des nuits, amplitude thermique, Système CCM Géoviticole, zonage, qualité. Key words: cool night index, thermal amplitude, MCC System for World Viticulture, zoning, quality. RESUME Le régime thermique en période de maturation du raisin est l?une des variables déterminantes de la coloration du raisin et de la richesse en arômes, anthocyanes et polyphénols des vins. L?objectif du travail est de caractériser le régime thermique, notamment la fraîcheur des nuits et l?amplitude thermique au cours de la maturation, au niveau du climat viticole mondial, sur une base des données de 100 régions viticoles dans 30 pays, obtenue par l?intermédiaire de l?Organisation Mondiale de la Météorologie - OMM. Plusieurs indices climatiques viticoles ont été calculés: l?Indice de Fraîcheur des Nuits ?IF (ºC), l?Indice Héliothermique de Huglin ?IH (ºC) et l?Indice de Sécheresse ?IS (mm) du Système de Classification Climatique Multicritères Géoviticole, et l?amplitude thermique moyenne en août et septembre Aa-s (ºC). Egalement, sur la période véraison-récolte ?v-r(moyenne des 30 jours précédant la date de récolte, estimée sur la base d?un Indice Héliothermique de HUGLIN égal à 1.900 - approximatif pour la maturation du Cabernet-Sauvignon): la fraîcheur des nuits (FNv -r), la température moyenne de l?air (Tv-r), la température maximale de l?air (Txv-r) et l?amplitude thermique (Av-r). Les résultats montrent que IH est corrélé avec Tv-r (r=0,79**) et avec Txv-r (r=0,80**). IH représente donc bien les conditions thermiques générales de la période de maturation en ce qui concerne la température moyenne et maximale de l?air. Mais IH n?est pas corrélé ni avec Aa-s ni avec Av-r. Par contre, IF est corrélé avec Aa-s (r=-0,70**) et FNv-r est corrélé avec Av-r (r=-0,69**). Cette corrélation doit justifier, en partie, l?usage assez courant de l?amplitude thermique comme indicateur de bonnes conditions thermiques de maturation pour les régions qui présentent des valeurs élevées. Mais ce raisonnement peut amener à des caractérisations erronées. Le travail met en évidence, également, ?importance de considérer le bilan hydrique des régions (IS) dans l?analyse du régime thermique sur la qualité du raisin. On peut onclure que pour avoir une bonne caractérisation du régime thermique en période de maturation il faut considérer la fraîcheur des nuits (IF étant un bon indicateur de FNv-r moyen des régions, avec un r=0,80**), caractérisation qui peut être améliorée avec l?information des températures maximales et de sur 11l?amplitude thermique en période de maturation du raisin. Les éléments présentés peuvent servir à améliorer les indices climatiques pour estimer le potentiel qualitatif du raisin des différentes régions viticoles, notamment en complément de IF. ABSTRACT The thermal conditions during the grape ripening period are important variables related to colour of the grapes, anthocyanins, polyphenols and flavour of the wine. The main purpose of this work was to characterise the thermal conditions, especially the night coolness and the thermal amplitude during maturation, in the geoclimate of the world vine culture. A database of 100 grape-growing regions of 30 countries obtained from the World Meteorology Organisation (WMO) was used. Some climatic indexes were calculated: Cool Night Index ?IF (°C), Huglin?s Heliothermal Index ?IH (°C) and Dryness Index ?IS (mm), from the Multicriteria Climatic Classification System for World Viticulture, and the thermal amplitude in August and September Aa-s (°C). Over véraison-harvest period ?v-r(mean of the 30 days before harvesting date, estimated on the basis of HUGLIN Heliothermal Index equal to 1,900 ? approximately value to ripen Cabernet-Sauvignon) similar indexes were obtained: the cool night (FNv-r), the mean air temperature (Tv-r), the maximal air temperature (Txv-r) and the thermal amplitude (Av-r). The results showed that IH is positively correlated with Tv-r (r=0.79**), Txv-r (r=0.80)and IF (r=0.67**). Therefore, IH represents well the general thermal conditions during maturation period, specially concerning the mean and the maximal air temperature. owever, IH was correlated neither with Aa-s nor to Av-r. IF was negatively correlated with Aa-s (r= -0.70**) and FNv-r was negatively correlated with Av-r (r=-0.69**). The correlation to some extent explains the current use of the thermal amplitude to predict good ripening thermal conditions for those regions that show high values. As here we have described, this thinking may give incorrect results. This work has also showed the importance to consider the water balance of the regions (IS) in the effect of the thermal conditions in grape quality. We conclude that the characterisation of the thermal conditions during the ripening period do need the cool night index (in this case, IFis a good index to provide the mean FNv-r of the regions, r=0,80**). Factors other than cool night which influence this characterisation are both maximal air temperature and thermal amplitude data. The elements presented in this work, in addition to IF , may improve the climatic indexes to be used to predict the qualitative potential of grapes from different regions.

Comparison of multitemporal MODIS-EVI smoothing algorithms and its contribution to crop monitoring.

Crop monitoring and more generally land use change detection are of primary importance in order to analyze spatio-temporal dynamics and its impacts on environment. This aspect is especially true in such a region as the State of Mato Grosso (south of the Brazilian Amazon Basin) which hosts an intensive pioneer front. Deforestation in this region as often been explained by soybean expansion in the last three decades. Remote sensing techniques may now represent an efficient and objective manner to quantify how crops expansion really represents a factor of deforestation through crop mapping studies. Due to the special characteristics of the soybean productions' farms in Mato Grosso (area varying between 1000 hectares and 40000 hectares and individual fields often bigger than 100 hectares), the Moderate Resolution Imaging Spectroradiometer (MODIS) data with a near daily temporal resolution and 250 m spatial resolution can be considered as adequate resources to crop mapping. Especially, multitemporal vegetation indices (VI) studies have been currently used to realize this task [1] [2]. In this study, 16-days compositions of EVI (MODQ13 product) data are used. However, although these data are already processed, multitemporal VI profiles still remain noisy due to cloudiness (which is extremely frequent in a tropical region such as south Amazon Basin), sensor problems, errors in atmospheric corrections or BRDF effect. Thus, many works tried to develop algorithms that could smooth the multitemporal VI profiles in order to improve further classification. The goal of this study is to compare and test different smoothing algorithms in order to select the one which satisfies better to the demand which is classifying crop classes. Those classes correspond to 6 different agricultural managements observed in Mato Grosso through an intensive field work which resulted in mapping more than 1000 individual fields. The agricultural managements above mentioned are based on combination of soy, cotton, corn, millet and sorghum crops sowed in single or double crop systems. Due to the difficulty in separating certain classes because of too similar agricultural calendars, the classification will be reduced to 3 classes : Cotton (single crop), Soy and cotton (double crop), soy (single or double crop with corn, millet or sorghum). The classification will use training data obtained in the 2005-2006 harvest and then be tested on the 2006-2007 harvest. In a first step, four smoothing techniques are presented and criticized. Those techniques are Best Index Slope Extraction (BISE) [3], Mean Value Iteration (MVI) [4], Weighted Least Squares (WLS) [5] and Savitzky-Golay Filter (SG) [6] [7]. These techniques are then implemented and visually compared on a few individual pixels so that it allows doing a first selection between the five studied techniques. The WLS and SG techniques are selected according to criteria proposed by [8]. Those criteria are: ability in eliminating frequent noises, conserving the upper values of the VI profiles and keeping the temporality of the profiles. Those selected algorithms are then programmed and applied to the MODIS/TERRA EVI data (16-days composition periods). Tests of separability are realized based on the Jeffries-Matusita distance in order to see if the algorithms managed in improving the potential of differentiation between the classes. Those tests are realized on the overall profile (comprising 23 MODIS images) as well as on each MODIS sub-period of the profile [1]. This last test is a double interest process because it allows comparing the smoothing techniques and also enables to select a set of images which carries more information on the separability between the classes. Those selected dates can then be used to realize a supervised classification. Here three different classifiers are tested to evaluate if the smoothing techniques as a particular effect on the classification depending on the classifiers used. Those classifiers are Maximum Likelihood classifier, Spectral Angle Mapper (SAM) classifier and CHAID Improved Decision tree. It appears through the separability tests on the overall process that the smoothed profiles don't improve efficiently the potential of discrimination between classes when compared with the original data. However, the same tests realized on the MODIS sub-periods show better results obtained with the smoothed algorithms. The results of the classification confirm this first analyze. The Kappa coefficients are always better with the smoothing techniques and the results obtained with the WLS and SG smoothed profiles are nearly equal. However, the results are different depending on the classifier used. The impact of the smoothing algorithms is much better while using the decision tree model. Indeed, it allows a gain of 0.1 in the Kappa coefficient. While using the Maximum Likelihood end SAM models, the gain remains positive but is much lower (Kappa improved of 0.02 only). Thus, this work's aim is to prove the utility in smoothing the VI profiles in order to improve the final results. However, the choice of the smoothing algorithm has to be made considering the original data used and the classifier models used. In that case the Savitzky-Golay filter gave the better results.