Our understanding of natural fire regimes in human-dominated landscapes is limited. Fire regimes operating in the pyrogenic ecosystems of Florida have been altered by fire suppression and fuel fragmentation. This is especially true of North Merritt Island, Florida, where human impacts have led to an incomplete knowledge of current fire regimes. We know that growing season fires frequently occurred within general return intervals and that many native terrestrial species require fire to remain viable. A 20-year plus period of fire suppression caused structural and compositional changes to vegetation/fuels that led to catastrophic fires and the decline of native species populations such as the Florida Scrub-Jay. Fire has been reintroduced as a means to reduce fuels and maintain habitat requirements for native species. Scientific studies have documented the effects and benefits of prescribed burning on KSC/MINWR habitat/fuels structure. The necessity for fire to maintain vegetation/fuels structure and composition on the landscape is clear so fire is being applied to the landscape despite our imperfect knowledge of the native fire regime. It is imperative for the survival of many native species that fire managers be able to mimic the results of the native fire regime. Fire regime research is difficult in shrublands, and using dendrochronologic techniques are often not possible in flatwoods communities. I therefore used a process of remote sensing, GIS mapping, and spatial modeling to quantify lightning fire ignition properties, the current managed fire regime, and the natural fire regime. Chapter one develops a new remote sensing technique to accurately map burned areas in Florida scrub and pine flatwoods dominated communities on Kennedy Space Center, Merritt Island National Wildlife Refuge, Canaveral National Seashore, and Cape Canaveral Air Force Station, Florida. At the center of this technique is a newly developed separation index (SI) that was used to evaluate each individual satellite image band for its power to discriminate unburned and burned areas. Burned areas were classified and found to be highly accurate in relation to empirical fire records. This chapter addressed a number of issues relevant to the classification of burned areas including: the effect of geographic extent of remote sensing data on classification, determining the best bands for classification, and cleaning classification results by using GIS masking. It also serves as the first published effort to map fire scars in the Florida scrub and flatwoods vegetative communities of the southeastern U.S. using image processing techniques. Chapter two quantified a managed fire regime on John F. Kennedy Space Center, Florida and surrounding federal properties by mapping all fires between 1983 to 2005 using the image processing technique developed in chapter one, time series satellite imagery, and GIS techniques. The goals were to: (1) determine if an image processing technique designed for individual fire scar mapping could be applied to an image time series for mapping a managed fire regime in a rapid re-growth pyrogenic system; (2) develop a method for labeling mapped fire scar confidence knowing that a formal accuracy analysis was not possible; and (3) compare results of the managed fire regime with regional information on natural fire regimes to look for similarities/differences that might help optimize management for persistence of native fire-dependent species. The area burned by managed fire peaked when the drought index was low and was reduced when the drought index was high. This contrasts with the expectations regarding the natural fire regime of this region. Chapter three quantified the natural lightning ignition regime on Kennedy Space Center, Merritt Island National Wildlife Refuge, Canaveral National Seashore, and Cape Canaveral Air Force Station, Florida. Lightning is the natural ignition source in Florida, substantiating the need for understanding lightning fire incidence. Sixteen years of lightning data (1986-2003, excluding 1987 and 2002 due to missing data) from the NASA Cloud to Ground Lightning Surveillance System and fire ignition records were used to quantify the relationship between lightning incidence and fire ignition. Precipitation influenced the efficiency of lightning ignitions, particularly July precipitation. Negative polarity strikes caused the majority of ignitions. Pine flatwoods was ignited more frequently than expected given equal chance of ignition among landcover types. About half (51%) of detected fires were instantaneous ignitions and the other 49% were delayed an average of two days. Summer lightning ignitions were dominant, especially during July, with only one winter lightning ignition. Chapter four used an existing fire regime model (HFire) to simulate the natural fire regime (prior to European settlement) on Kennedy Space Center, Merritt Island National Wildlife Refuge, Canaveral National Seashore, and Cape Canaveral Air Force Station, Florida. A sensitivity analysis was performed to establish which parameters were most important and the range of variation surrounding empirically derived model information from the same model. A mosaic pattern of small fires dominated this fire regime with extremely large fires occurring during dry La Nina periods. Dead fuel moisture and wind speed had the largest influence on model outcome. The majority of variability was found to be in the largest fires. The research presenter here provides a comprehensive perspective on current and historic fire regimes that may be useful for optimizing land management on Kennedy Space Center, Merritt Island National Wildlife Refuge, Canaveral National Seashore, and Cape Canaveral Air Force Station, Florida and throughout the southeastern United States. Native fire dependent species are suffering from many changes imposed from human alteration. The success of conservation efforts protecting native fire dependent species hinge on my factors. Two of the largest factors are first protecting native habitat and then secondly managing that protected habitat to mimic natural maintenance processes for suitable structure and composition which may favor their demography. This study focuses on developing techniques necessary for producing information that can aid the optimization of fire management on these properties and within the southeastern United States, but may be useful in other fire maintained ecosystems globally.

We reconstructed historical fire regimes of montane forest-grassland ecotones in the ~40,000 ha Valles Caldera National Preserve, New Mexico. We used a targeted approach to sample ancient fire-scarred trees along the ecotone, and compared variations in historical fire occurrence within and among valles in the grassland-forest. The resulting tree-ring record extends from 1240-2008 C.E., comprised of 2,443 fire scars from 330 trees representing 238 fire years during the period of analysis, 1601-1902 C.E. Our results confirm pre-1900 historical occurrence of high-frequency, low-severity surface fires over multiple centuries in the ecotone. Mean fire intervals for all fires were 5.5-22.5 years (~6-123 ha) at individual sites, 2.7-10 years (~67-4955 ha) in individual valles, and 1.6 years (~10 386 ha) across the landscape. Synchronous fires burned extensively and occurred at ~10 year intervals during years with significantly low PDSI. Results will be useful in planning forest/grassland restoration actions and reinstituting fire regimes.

Afin de mieux appréhender l’ouverture actuelle de la forêt boréale au nord du Québec et d’identifier les facteurs qui en sont responsables, cette thèse a étudié la dynamique, la stabilité et la résilience des deux types d’écosystèmes forestiers en jeu dans la zone de transition, au cours du temps. Ces écosystèmes, les pessières à mousses, denses, et les pessières à lichens, beaucoup moins denses (dites « ouvertes »), partagent la même espèce ligneuse dominante (Picea mariana). La thèse s’est concentrée sur le développement d’outils géochimiques innovants en paléoécologie permettant de retracer la structure et la composition présentes et passées des écosystèmes terrestres, puis sur la reconstruction du régime des feux par analyses de charbons. Elle démontre dans un premier temps que les deux écosystèmes ont des sols aux propriétés physico-chimiques distinctes, et sont entretenus par les interactions sol-végétation-climat. Le deuxième volet montre que les enregistrements chimiques sont également différents dans les sédiments récents de lacs d’étude, selon s’ils sont entourés de pessières à mousses ou à lichens. Grâce aux proxys géochimiques calibrés, le troisième chapitre reconstruit l’histoire de la végétation et des feux au cours de l’Holocène. Il met en évidence une rupture majeure dans la structure des écosystèmes, observée vers 4500-4000 ans calibrés avant présent, et permet de conclure à une ouverture de la forêt boréale à cette période en raison d’une augmentation de la fréquence de feux. La stabilité précaire des états actuels est mise en perspective avec le contexte présent d’augmentation des feux dans la région et les mesures d’aménagement à adapter en conséquence. / In order to better figure out the ongoing transition of the boreal forest in northern Quebec and to identify the responsible factors, this thesis studied the dynamics, stability and resilience of the two forest ecosystems at stake, over time. These ecosystems, the closed-canopy dense moss forest and the open lichen woodland, share the same dominant tree species (black spruce, Picea mariana). The thesis focused on the development of innovative geochemical tools in palaeoecological studies that could track present and past terrestrial ecosystem structure and composition, and then focused on the reconstruction of past fire regimes through lacustrine charcoal analyses. A first step demonstrated that the soils of both ecosystems displayed distinct physical and chemical properties and are maintained by the feedback interactions in the soil-vegetation-climate system. The second step showed that modern sediments of study lakes recorded variations in their chemical composition depending on whether they were surrounded by moss forest or lichen woodland. Using the so calibrated geochemical proxies, the third chapter reconstructed the vegetation and fire histories during the Holocene. A major disruption in ecosystem structure was evidenced 4500-4000 years calibrated before present and led to the conclusion of a boreal forest opening at that time due to an increase in fire frequency. The precariousness of the present states stability is discussed in light with the current context of fire increase in the study region and suggests that forest management should be adapted consequently.

Dans les milieux soumis au feu, les plantes ont développé une diversité de stratégies d'histoire de vie qui sont supposément adaptées à différentes conditions environnementales, comme différents régimes de feu. Au cours de ma thèse, j'ai cherché à expliquer la diversité de stratégies adoptées par les plantes pérennes en cherchant à déterminer comment des facteurs intrinsèques et extrinsèques ont influencé l'évolution de ces traits d'histoire de vie. Mais également si cette connaissance peut nous permettre d'améliorer notre compréhension de l'impact à venir de changements environnementaux ou renseigner des politiques de conservation. Les régimes de feux ont été proposés comme étant une force sélective majeure influençant les traits d'histoire de vie dans les milieux soumis au feu. J'ai donc particulièrement étudié l'impact de la distribution des intervalles de feux. Un modèle d'optimisation d'allocation des ressources a été construit afin d'étudier les stratégies d'histoire de vie optimales sous différents régimes de feu. Ce modèle prédit qu'il est optimal de diminuer l'allocation des ressources au maintien des cônes lorsque la variance des intervalles de feu augmente et lorsque la disponibilité en ressources diminue. De même, les prédictions montrent que l'allocation des ressources à la sérotinie diminue lorsque la disponibilité des ressources diminue au profit de l'allocation à la croissance et à la production de graines. De façon, à tester ces prédictions, nous utilisons des analyses comparatives appliquées le long d'une nouvelle phylogénie du genre Leucadendron. Un protocole de recherche de marqueurs permettant de maximiser le polymorphisme et la probabilité d'orthologie de ceux-ci a été construit de façon à définir de nouveaux marqueurs spécifiques du genre Leucadendron. L'estimation des valeurs de traits d'histoire de vie le long de cette nouvelle phylogénie montre une évolution complexe de tous les traits d'histoire de vie considérés ainsi qu'une évolution conjointe entre certains traits d'histoire de vie. Des analyses comparatives prenant en compte l'incertitude phylogénétique et la variabilité environnementale intra-spécifique, montrent notamment que les espèces sérotineuses ont évolué des niches environnementales impliquant des événements climatiques extrêmes (i.e. sécheresse et gel) moins importants que les espèces avec banques de graines dans le sol. De même, les espèces non-réitératives semblent avoir été moins tolérantes que les espèces réitératives à des événements climatiques extrêmes. / In fire-prone environments, plants have developed a huge diversity of life history strategies that aresupposed to be adapted to different environmental conditions such as several fire regimes. My PhDproject aimed at explaining the large diversity of life history strategies of perennial plants, focusingon how intrinsic and extrinsic factors have shaped the evolution of those traits. I particularly ask, ifsuch knowledge can be used to understand the impact of future environmental changes onbiological diversity ? And finally, how does this apply to conservation policies and the maintenanceof such diversity? Because contrasted fire regimes have been suggested as a major selective factorinfluencing plant traits in fire-prone environments, I especially investigated the effect of the fireregime in terms of distribution probabilities of fire intervals. A model of optimization of resourceallocation for a serotinous non-resprouting plant predict that whenever maximal plant survivalprobability is low, the optimal strategy consists in reducing resource allocation to seed maintenancein the canopy, while increasing resource allocation to annual seed production. The model alsopredict that a low level of serotiny should evolve when the predictability of fire arrival is low, that iswhen there is a large variance in fire intervals. In order to test those predictions, I used comparativeanalyses along the newly reconstructed phylogeny of the Leucadendron genus. A bioinformaticspipeline allowed designing new nuclear markers, maximizing both polymorphism and probability oforthology that can be further used to construct the Leucadendron phylogeny. This approachgenerated seven new markers of which three contained a polymorphic 3'-UTR region. Life historytrait are further estimated along branches of this new phylogeny to assess whether life history traitswere labile across the evolutionary history of the genus. This analysis show that all five studiedtraits emerged independently several times and in correlation with one another. The joint evolutionof fire-related traits and ecological niches are finally studied to test hypotheses partly inspired byour theoretical work. Comparative analyses that account for phylogenetic uncertainty, traitreconstruction uncertainty and environmental intra-specific variability show that serotinous speciesevolved ecological niches characterised by less extreme climatic events than species havingunderground seed banks. Similarly, non-resprouting species evolved niches including less extremeclimatic events than resprouting species.

Understanding historic fire regimes to develop benchmarks for emulating historic natural disturbance processes in the interest of conserving biodiversity has been actively pursued for approximately 30 years. Mixed-severity fire regimes are increasingly becoming a recognized component of historic fire regimes. Mixed-severity fire regimes are inherently difficult to classify and characterize given the complexity of the process and the multiple scales at which this complexity is expressed. I utilized a systematic study design to gather fire scar and stand dynamic information in order to describe and classify the historic fire regime. I established the presence of mixed disturbance regime dominated by a mixed-severity fire regime. The historic fire regime was mixed-severity over time dominated by individual high severity fire events occurring at a frequency of 60-130 years with some areas that experienced lower severity fire events occurring at a frequency of 20 - 40 years. Twenty-one per cent of the current landscape was dominated by high-severity fire, 42% by mixed-severity and 37% had an unknown fire history. I developed a fire regime classification scheme that provides a useful tool for considering fire severity in mixed-severity system with forest species that generate strong establishment cohorts. I was able to combine time-since-fire methods with a systematic study design and this combination provided an excellent tool to explore mixed-severity fire characteristics in a complicated mixed-disturbance forest. I found limited relationships between topographic controls and fire severity. I found a number of significant relationships that fit the broadly held perceptions of how fire severity would affect species relative densities and stand structure attributes. The existing stand origin map and the Vegetation Resource Inventory stand age were largely accurate for high-severity 20th century fires but had decreasing accuracy in older forests and for mixed and unknown fire severity. The accuracy of the Vegetation Resource Inventory leading species accuracy was quantified at only 60%. My results have implications for fire and forest management in south-eastern British Columbia and in other forest systems that had historic mixed-severity fire regimes with tree species that have strong establishment cohorts. / Graduate / 0478 / 0329 / rick.kubian@pc.gc.ca

Several reports of widespread establishment of mesophytic vegetation within oak-hickory upland forests have been documented throughout the Central Hardwoods Region. Previous studies suggest deviations from historic disturbance regimes may be a primary driver of vegetation change, necessitating the use of Fire Regime Condition Class (FRCC) guidelines to measure changes in forest structure. Current parameters of forest structure and fuel loading were assessed within mature oak-hickory uplands throughout the ecological subsections of the Shawnee National Forest, including the Greater Shawnee Hills, Lesser Shawnee Hills, Cretaceous Hills, and the Illinois Ozarks. Present species importance values and forest structure were compared with reference conditions developed from General Land Office records(Fralish et al. 2002). Current uplands contained an average 214.72 ± 16.52 SE trees/ac and 103.37 ± 2.16 SE ft2 BA/ac, while reference stands harbored less than 90 trees/ac with a range of 16 and 120 ft2 BA/ac. Due to the high levels of fragmentation and a lack of large contiguous upland stands within the Shawnee National Forest, stand level criteria for FRCC values were developed as opposed to landscape level FRCC values which are commonly used. FRCC values determined during initial surveys were compared with plot level ratios of forest structure parameters regarding oaks:mesophytes and xerophytes:mesophytes, yielding clear relationships between species composition and FRCC values. Fuel loading (tons/ac) was assessed as a determinant of FRCC values, however a significant relationship between FRCC values and fuel loading was not discovered. Since widespread deviations from the historic fire regime have taken place since the early 20th century, Fire Regime Condition Class values were found to fall into the FRCC 2 and 3 categories without any stands representing FRCC 1. This determination requires future management practices to follow Fire Regime Condition Class guidelines. The study proved that mesophytic species have become established within all canopy strata, with a strong probability of gaining future dominance without active forest management. Although it is clear that forest structure has deviated from reference conditions, a strong oak-hickory overstory component found throughout the study area provides a potential resource to sustain future oak-hickory upland ecosystems.

Fire exclusion has defined 20th century forestry practices in North America and produced many unintended consequences. In the Canadian Rocky Mountains, the removal of fire from the landscape caused significant landscape changes over the past century. Mountain forests are now more uniform in stand composition and structure, and understorey diversity is reduced. These changes mean that forests are now more susceptible to high-intensity, difficult-to-control wildfires. Re-introducing Indigenous led historical burning patterns modeled on traditional burning techniques can be a restoration technique for these highly altered ecosystems. Indigenous fire regimes that emphasized regular, low-intensity burning created forests that had less fuel build up and were not as susceptible to dangerous wildfires. In order to effectively re-introduce historical fire regimes onto the Canadian mountain landscapes, it is essential to understand the history of human management of landscapes with fire. This project uses new methods of oblique image analysis that build on recent developments in oblique image analysis to examine the historical management of a portion of the traditional territory of the Stoney Nakoda Nation that overlaps present day Kananaskis Country in Alberta, Canada. While it is difficult to capture low-intensity Indigenous burns using traditional fire reconstruction methods, in-depth analysis of historical photos taken before the introduction of fire suppression laws may reveal new insights into historical fire regimes. Images were classified using machine learning software and compared to images classified by a human to verify the accuracy of the machine learning software. A case study of georeferencing images was also conducted, with the landcover estimates generated by georeferenced images compared to oblique estimates. Spatial signatures of Indigenous burning were identified and applied to repeat image sets to look for visual evidence of Indigenous burning on the landscape. The results from this study provide a useful starting point for further research into repeat photography and Indigenous burning. / Graduate

The occurrence of wildfire is influenced by a suite of factors ranging from "top-down" influences (e. g., climate) to "bottom-up" localized influences (e. g., ignitions, fuels, and land use). We carried out the first broad-scale assessment of wildland fire patterns in northern Mexico to assess the relative influence of top-down and bottom-up drivers of fire in a region where frequent fire regimes continued well into the 20th century. Using a network of 67 sites, we assessed (1) fire synchrony and the scales at which synchrony is evident, (2) climate drivers of fire, and (3) asynchrony in fire regime changes. We found high fire synchrony across northern Mexico between 1750 and 2008, with synchrony highest at distances < 400 km. Climate oscillations, especially El Nino-Southern Oscillation, were important drivers of fire synchrony. However, bottom-up factors modified fire occurrence at smaller spatial scales, with variable local influence on the timing of abrupt, unusually long fire-free periods starting between 1887 and 1979 CE. Thirty sites lacked these fire-free periods. In contrast to the neighboring southwestern United States, many ecosystems in northern Mexico maintain frequent fire regimes and intact fire-climate relationships that are useful in understanding climate influences on disturbance across scales of space and time.

Trockengebiete, die etwa 40% der globalen Landoberfläche abdecken, Lebensgrundlage für 2 Millionen Menschen bilden, einzigarte Biodiversität enthalten und wichtige Ökosystemdienstleistungen bereitstellen, sind beträchtlichem Druck durch Landnutzungs- und Klimawandel ausgesetzt. Die räumlichen Muster dieser Landnutzungsänderungen sowie deren Ursachen sind jedoch nur in Ansätzen verstanden. Fernerkundung kann Veränderungen großräumig beobachten, aber Methoden fehlen, um diese Veränderungen, die graduell und abrupt (z.B. Feuer) auftreten können, abzuleiten. Die Ziele dieser Dissertation waren die Entwicklung fernerkundlicher Methoden, um verschiedene Landnutzungsänderungen in mediterranen Ökosystemen zu quantifizieren und um den Einfluss verschiedener Landnutzungsprozesse auf das Feuerregime besser zu verstehen. Die griechische Insel Kreta wurde als Untersuchungsgebiet gewählt. Zuerst wurden basierend auf Trendanalysen von Landsatzeitreihen verschiedene Vegetationsmaße verglichen. Demnach führen einfache Vegetationsmaße zu ähnlich guten Ergebnissen und ermöglichen eine effiziente Beobachtung großer Gebiete. Anschließend wurden Veränderungstrajektorien abgeleitet, um graduelle und abrupte Prozesse zu unterscheiden und um zu analysieren, wie Landnutzungssysteme und Feuerregime sich auf Kreta ausgewirkt haben. Mittels einer statistischen Modellierung wurde der relative Einfluss von Landnutzungsprozessen auf das Feuerregime quantifiziert. Die Ergebnisse zeigten ein komplexes Muster von graduellen Vegetationsveränderungen und Feuern und deuten darauf hin, dass Feuer hauptsächlich vom Beweidungssystem abhängt. Feuer traten häufig am Fuße der Berge auf, wohingegen in den Berggebieten Vegetationszunahme vorherrscht. Die statistische Modellierung bestätigte, dass Extensivierung und Klima die Hauptursachen des kretischen Feuerregimes sind. So ist zu vermuten, dass sich das ehemals durch Brennmaterial limitierte Feuerregime zu einem trockenheitsgetriebenen entwickeln wird. / Drylands cover about 41% of the earth’s surface, sustain the livelihoods of 2 billion people, harbor unique biodiversity and provide important ecosystem services, but land use and climate change exert considerable pressure on these ecosystems. However, pattern and drivers of land use change are weakly understood. Remote sensing can monitor these changes for large areas but methods to detect both gradual and abrupt events like fires are missing. The main objectives of this thesis were to develop remote sensing based methods to better quantify the impact of land use change on fire-prone Mediterranean ecosystems, and to apply these methods to better understand the influence of different land use processes on fire regimes. The island of Crete (Greece) served as study region where diverging land use transformation are extensive, fires are frequent and environmental gradients are large. First, the trade-off between different vegetation estimates when using Landsat-based trend analyses was quantified. The results suggested that simple vegetation estimates perform equally well and thus, allow for effective mapping of large areas. Second, a trajectory change detection approach was applied to separate gradual changes from abrupt events and to answer the question how land use systems and fire regimes have affected Crete’s rangelands. Statistical modeling was then used to quantify the relative importance of land use processes in driving the fire regime. The results show that vegetation changes resulted in complex pattern of gradual changes and fires likewise. The fire regime appeared to be mainly driven by changing grazing systems. Fires were frequent in foothills whereas mountains showed increasing vegetation as a result of land abandonment. The statistical modeling confirmed that land extensification and climate are the primary drivers of fire regimes on Crete. The results suggest that the former fuel-limited fire regime will likely shift towards a drought-driven fire regime.

Bien que le feu soit reconnu comme un facteur d’influence dans la dynamique de végétation des savanes, son rôle n’est pas clairement défini. Cette thèse aborde le problème de l’étude de la relation entre l’usage des feux et la dynamique de végétation. L’approche choisie repose sur l’analyse de séries temporelles d’images de télédétection à moyenne résolution spatiale. Les savanes étudiées sont situées sur le bassin versant de Marovoay au nord-ouest de Madagascar. Dans la mesure où il n’existe pas de consensus quant aux méthodes à utiliser, les savanes de Madagascar offrent un contexte particulier, en raison de la dégradation très prononcée du couvert végétal et des changements recherchés, pour tester les méthodes existantes et en proposer des nouvelles. Le premier objectif de ce travail est d’identifier le régime des feux à travers le suivi des variations spatio-temporelles des surfaces brûlées en milieu de savane. Pour cela, une méthode de cartographie des surfaces brûlées a été développée : elle est basée sur le calcul d’un indicateur annuel indiquant le passage d’un feu pendant la saison sèche et d’un indicateur saisonnier traduisant la période de passage du feu. Cette méthode, appliquée au site d’étude, a permis de produire une série temporelle de données utilisées pour caractériser le régime des feux à partir de deux paramètres, la période d’occurrence et la fréquence de passage du feu. En parallèle, le deuxième objectif consiste à caractériser la dynamique de végétation par l’analyse des variations spatio-temporelles de l’activité végétale. Deux approches de détection des changements, basées sur le traitement de série temporelle de NDVI, ont été testées. La première repose sur l’analyse des variations inter annuelles d’un indicateur phénologique traduisant l’activité végétale pendant la phase de croissance des savanes. La deuxième utilise une technique de décomposition temporelle pour extraire la tendance d’une série de NDVI. Dans les deux cas, les résultats ont permis de caractériser la dynamique de végétation à travers trois classes d’évolution de l’activité végétale (séries progressive, régressive ou stable). Ces résultats ont été évalués par comparaison avec ceux issus de techniques de détection des changements basées sur l’analyse diachronique d’images à haute résolution spatiale. Enfin, dans la dernière étape du travail, nous avons étudié les relations entre les informations relatives aux régimes des feux et à la dynamique de végétation en utilisant des modèles de régression multivariée. L’objectif est d’estimer l’importance et le rôle du feu dans la dynamique de végétation. Les résultats ont amené à trois conclusions : a) Le feu est un facteur de maintien des savanes ; b) Dans les situations où la pression liée aux activités anthropiques est faible, le feu, en particulier par la fréquence de son usage, est un facteur déterminant de la dynamique de végétation ; c) Dans les autres situations, l’interprétation des résultats est complexe et difficile, très certainement en raison de l’interaction de multiples facteurs anthropiques. / Fire is recognized to be an essential factor that explains savanna vegetation dynamics. But its role is not clearly defined. This work investigates the problem of studying the relation between fire usage and vegetation dynamic. This is addressed through the analysis of time series of medium spatial resolution remotely sensed images. We studied the savanna localized on the Marovoay watershed, on the northwest part of Madagascar. As no consensus exists on the adapted methods, the savanna of Madagascar offers a particular context to test existing methods or develop new ones, because of the advanced vegetation cover degradation and the nature of change to be detected. The first objective of this work is to identify fire regime by analyzing the spatio-temporal variations of burned areas in savanna areas. To this end, a burned area mapping method was developed. It is based on the definition of an annual indicator, which indicates the occurrence of a fire during the dry season, and a seasonal indicator, which gives the information on the date of the fire event. Applied to the study site, this method has lead to the production of a time series of data used for the characterization of the fire regime through two parameters, the period of occurrence and the frequency of fire. In parallel, the second objective consists on characterizing vegetation dynamic by monitoring spatiotemporal variations of vegetation activity. Two change detection approaches based on NDVI time series, were tested. The first consists on analyzing the inter annual variations of a phenological indicator related to vegetation activity during the active growth season. The second uses a temporal decomposition technique to extract the trend from an NDVI time series. In both cases, the vegetation dynamic is characterized through three classes linked to the evolution of the vegetation activity (progressive, regressive or stable series). Results were evaluated by a comparison with the results obtained from a diachronic change detection technique based of high spatial resolution images. Finally, in the last part of this work, we investigated the relation between fire regimes and vegetation activity change classes using multivariate regression models. The objective is to analyze to determine the importance and the role of fire into the vegetation dynamic. Results leaded to three conclusions: a) Fire is a factor that maintains savanna; b) In areas where pressure due to anthropogenic activities is low, fire frequency represents a determinant factor to explain vegetation dynamic; c) In others areas, the interpretation of results appears to be complex and difficult, probably because of the high level of interactions between multiple environmental factors.