The 11 year solar-cycle component of climate variability is assessed in historical simulations of models taken from the Coupled Model Intercomparison Project, phase 5 (CMIP-5). Multiple linear regression is applied to estimate the zonal temperature, wind and annular mode responses to a typical solar cycle, with a focus on both the stratosphere and the stratospheric influence on the surface over the period ∼1850–2005. The analysis is performed on all CMIP-5 models but focuses on the 13 CMIP-5 models that resolve the stratosphere (high-top models) and compares the simulated solar cycle signature with reanalysis data. The 11 year solar cycle component of climate variability is found to be weaker in terms of magnitude and latitudinal gradient around the stratopause in the models than in the reanalysis. The peak in temperature in the lower equatorial stratosphere (∼70 hPa) reported in some studies is found in the models to depend on the length of the analysis period, with the last 30 years yielding the strongest response. A modification of the Polar Jet Oscillation (PJO) in response to the 11 year solar cycle is not robust across all models, but is more apparent in models with high spectral resolution in the short-wave region. The PJO evolution is slower in these models, leading to a stronger response during February, whereas observations indicate it to be weaker. In early winter, the magnitude of the modelled response is more consistent with observations when only data from 1979–2005 are considered. The observed North Pacific high-pressure surface response during the solar maximum is only simulated in some models, for which there are no distinguishing model characteristics. The lagged North Atlantic surface response is reproduced in both high- and low-top models, but is more prevalent in the former. In both cases, the magnitude of the response is generally lower than in observations.

Global mean surface temperatures (GMST) warmed in the early 20th century, experienced a mid-century lull, and warmed again steadily until 1997. Observations at the turn of the 21st century have revealed another period of quiescent warming of GMSTs from 1998 to 2012, thus prompting the notion of a global warming “hiatus”. The warming hiatus occurred concurrently with steadily increasing atmospheric greenhouse gas concentrations, sea level rise, and retreating arctic sea ice. The occurrence of the warming hiatus suggests that natural variability continues to be a sizable contributor to modern climate change and implies that energy is rearranged or changed within the climate system. Much of the scientific research conducted over the last decade has attempted to identify which modes of natural variability may be contributing to the GMST signal in the presence of anthropogenic warming. Many of these studies concluded that natural variability, operating in the global oceans were the largest contributors to GMST. What remains unclear is how oceanic variability and its contribution to GMST may change on a warmer globe as greenhouse gas concentrations continue to rise. Our research includes diagnostic analyses of the available observational surface temperature estimates and novel state-of-the-art climate model experiments from the fifth phase of the Coupled Model Intercomparison Project (CMIP5). Our analyses seek to understand how the natural modes of variability within the ocean will change under different warming scenarios. Utilizing simulations forced with observed pre-industrial and historical greenhouse gas emissions in combination with several future warming simulations, we quantify the probability of similar “hiatus-like” periods occurring on a warmer globe. To that end employ various metrics and detrending techniques including EOF decomposition, running climatologies, along with linear and nonlinear trends to elucidate how natural variability changes over time. We also examine the changing influence of natural modes of variability with respect to the anthropogenic radiative forcing over different regions on the globe.Results suggest that natural variability for much of the global oceans decreases as the radiative forcing increases in the future warming scenarios.

In the present work, we investigate the capacity of machine learning to reconstruct simulated large scale surface temperature anomalies given a sparse observation field. Several methods are combined: self-organizing maps and recurrent neural networks of the temporal trajectory. To evaluate our global scale reconstruction, we base our validation on global climate indices time series and EOF analysis. In our experiments, the obtained reconstructions of the global surface temperature anomalies provide a good correlation (over 90%) with the target values when considering scarce available observations sampling about 0.5% of the globe. We reconstruct the surface temperature anomaly fields from 0.05% of total number of data points. We obtain an RMSE of 0.39°C. We further validate the quality of the results calculating a correlation of 0.92, 0.97 and 0.98 between the reconstructed and target indices of AMO, ENSO and IPO. / Klimatsystemet består av olika komponenter inklusive atmosfären, havet och jorden. Som ett öppet system utbyter det hela tiden energi med resten av universum. Det är också ett dynamiskt system vars utveckling kan förutsägas av kända fysiska lagar. Interaktionen mellan dess olika komponenter leder till en så kallad naturlig variation. Denna variabilitet återspeglas i form av svängningslägen, inklusive AMO, ENSO och IPO. För att studera dessa variationer har vi klimatmodeller som representerar de olika krafterna och deras effekt på klimatförändringar på lång sikt. I detta sammanhang är variationerna i det förflutna klimatet särskilt intressanta och tillåter oss en bättre förståelse av klimatförändringar och bättre förutsäga den framtida utvecklingen. Men för att studera det förflutna klimatet eller paleoklimat är den enda tillgängliga informationen endast fullständig under de senaste 150 åren. Innan dess är de enda tillgängliga indikatorerna naturliga, kallad klimatproxy, som trädringar eller iskärnor. Vi kan härleda tidsserier med klimatdata, till exempel temperatur. Denna information är emellertid knappast tillfälligt såväl som över hela världen. Återskapa det globala klimatet från sådana data hanteras fortfarande dåligt. Länken mellan lokal information och global klimat studeras här med hjälp av statistiska metoder, inklusive neurala nätverk. Det långsiktiga målet med denna studie är att bygga en metod för att rekonstruera paleoklimatet från data om klimatproxy, vi fokuserar inledningsvis på rekonstruktionen av ett så kallat perfekt klimat, det vill säga en modell som endast tar hänsyn till naturlig variation, från rumsligt sällsynta tidsserier. De studerade uppgifterna är de från globala yttemperaturutgångar från den havsatmosfärkopplade IPSL-modellen. Uppgifterna förbehandlas för att ta bort säsongens genomsnittliga cykel och omvandlas till temperaturavvikelser. Dessutom väljs rutnätpunkter som representerar information om proxyer pseudo-slumpmässigt, med respekt för den verkliga dispositionen av dessa, övervägande i norr på kontinenterna. Uppgifterna delas upp i träningsdata (150 år), validering (30 år) och testdata (120 år). De metoder som används kombinerar (1) självorganiserande kartor och hierarkisk stigande klassificering, användbara för att producera en reducerad storlek av inmatningsdata, här baserat på tidskorrelationen mellan temperaturutvecklingen under 150 år, (2) ItCompSOM använder korrelationen mellan klasser erhållna genom självorganiserande kartor för att rekonstruera obevakad data, (3) återkommande nervnätverk för att förklara den temporära komponenten i data och förbättra den tidigare rekonstruktionen. Slutligen är definitionen av nya mätvärden nödvändig för att validera de föreslagna modellerna. Utvärderingen av produkterna görs således genom temporär rekonstruktion av AMO, ENSO, IPO klimatlägen samt genom projicering av huvudkomponenterna i analysen av huvudkomponenterna i inputdata. Således konstrueras en reducerad modell av globala temperaturdata baserad på 150 års fullständiga data först, vilket reducerar den rumsliga informationen från 9216 rutnätpunkter till 191 regioner associerade med 1 medelvärde vardera. För att ansluta denna modell till tidssekvenser av sällsynta temperaturer i världen antas det att varje klass som innefattar minst en observerad proxy-data är känd. Rekonstruktionen av globala yttemperaturutvecklingar med ItCompSOM ger en korrelation till indexen på mer än 90% för endast 0,5% av de initiala observationerna. Detta resultat förbättras kraftigt tack vare återkommande nervnätverk, vilket leder till en korrelation av 0,92, 0,97 respektive 0,98 för AMO, ENSO och IPO med endast 0,05% av observationerna. Dessa poäng förklaras med den använda metoden, regionaliseringen hjälper till att koncentrera informationen. Medan 0,5% av rutpunkterna är lika med 43 poäng, om de är korrekt fördelade, representerar de 22% av informationen om regionerna (43 av 191). Dessa mycket uppmuntrande resultat återstår att tillämpas på verkliga klimatproblem, det vill säga med hänsyn till å ena sidan den externa och antropologiska kraften, osäkerheterna relaterade till de verkliga uppgifterna om ombud å andrasidan.

This thesis is in two parts. The first part considers a theoretical relationship between the natural variability of a stochastic model and its response to a small change in forcing. Over a large enough scale, both the real climate and a climate model are characterised as stochastic dynamical systems. The dynamics of the systems are encoded in the probabilities that the systems move from one state into another. When the systems’ states are discretised and listed, then transition matrices of all these transition probabilities may be formed. The responses of the systems to a small change in forcing are expanded in terms of the eigenfunctions and eigenvalues of the Fokker-Planck equations governing the systems’ transition densities, which may be estimated from the eigenvalues and eigenvectors of the transition matrices. Smoothing the data with a Gaussian kernel improves the estimate of the eigenfunctions, but not the eigenvalues. The significance of differences in two systems’ eigenvalues and eigenfunctions is considered. Three time series from HadCM3 are compared with corresponding series from ERA-40 and the eigenvalues derived from the three pairs of series differ significantly. The second part analyses a model of the coupled climate-economic system, which suggests that the pace of economic growth needs to be reduced and the resilience to climate change needs to be increased in order to avoid a collapse of the human economy. The model condenses the climate-economic system into just three variables: a measure of human wealth, the associated accumulation of greenhouse gases, and the consequent level of global warming. Global warming is assumed to dictate the pace of economic growth. Depending on the sensitivity of economic growth to global warming, the model climate-economy system either reaches an equilibrium or oscillates in century-scale booms and busts.

Burning and grazing are key processes in the natural disturbance regime of the Fescue Prairie. Burning, grazing and their interacting effects on plant species diversity (H¡¯), species richness, and heterogeneity in species composition were studied at two spatial scales for two years in a remnant Fescue Prairie near Saskatoon, Saskatchewan. Cattle distribution in relation to plant communities was also studied. At the plot scale (100 m2), burning increased H¡¯ (P<0.01) (x=1.75) compared to unburned treatments (x=1.54) (S.E.¡À0.058). Burning, grazing, and burning + grazing had no significant effect (P>0.10) on species richness; richness varied between years (P=0.04), averaging 14.2 species m-2 in year one versus 15.8 species m-2 in year two (S.E.¡À 0.65). Spatial heterogeneity (P>0.25; x=46%; S.E.¡À3.0) and temporal heterogeneity in species composition (P>0.21; x=42%; S.E.¡À3.8) were not affected by burning, grazing, or their interaction. Burning + grazing increased tiller densities in <i>Elymus lanceolatus</i> (68%) and those of <i>Festuca hallii</i> (11%) (P<0.001) compared to the control. Burning decreased total aboveground net primary production (ANPP) (P<0.001) (x=305 g m-2) compared to unburned treatments (x=500 g m-2; S.E.¡À30.8). Grazing and burning + grazing had no effect on total ANPP or graminoid ANPP (P¡Ý0.36). At the scale of Kernen Prairie (130 ha), H¡¯ increased between 1996 (P<0.05) (x=1.10) and 2005 (x=1.40; S.E.¡À0.094). Species richness increased from 5.2 species 0.25 m-2 in 1996, to 6.8 species 0.25 m-2 in 2005 (S.E.¡À0.505). Heterogeneity in plant species composition tended to increase after prescribed burning was started in 1986 and after grazing began in 2006. Cattle preferred <i>Bromus inermis-</i> and <i>Poa pratensis-</i>dominated plant communities, areas with intermediate amounts of total aboveground standing crop of plants, and areas in which shrub densities exceeded 16 stems 0.25 m-2. In the short term, burning and environmental conditions had greater effects on species diversity, richness, and heterogeneity in species composition than grazing or the interaction of burning and grazing. Different responses may be expected with different combinations of timing, frequency, and intensity of burning and grazing at different sites under ever changing environmental conditions.

Burning and grazing are key processes in the natural disturbance regime of the Fescue Prairie. Burning, grazing and their interacting effects on plant species diversity (H¡¯), species richness, and heterogeneity in species composition were studied at two spatial scales for two years in a remnant Fescue Prairie near Saskatoon, Saskatchewan. Cattle distribution in relation to plant communities was also studied. At the plot scale (100 m2), burning increased H¡¯ (P<0.01) (x=1.75) compared to unburned treatments (x=1.54) (S.E.¡À0.058). Burning, grazing, and burning + grazing had no significant effect (P>0.10) on species richness; richness varied between years (P=0.04), averaging 14.2 species m-2 in year one versus 15.8 species m-2 in year two (S.E.¡À 0.65). Spatial heterogeneity (P>0.25; x=46%; S.E.¡À3.0) and temporal heterogeneity in species composition (P>0.21; x=42%; S.E.¡À3.8) were not affected by burning, grazing, or their interaction. Burning + grazing increased tiller densities in <i>Elymus lanceolatus</i> (68%) and those of <i>Festuca hallii</i> (11%) (P<0.001) compared to the control. Burning decreased total aboveground net primary production (ANPP) (P<0.001) (x=305 g m-2) compared to unburned treatments (x=500 g m-2; S.E.¡À30.8). Grazing and burning + grazing had no effect on total ANPP or graminoid ANPP (P¡Ý0.36). At the scale of Kernen Prairie (130 ha), H¡¯ increased between 1996 (P<0.05) (x=1.10) and 2005 (x=1.40; S.E.¡À0.094). Species richness increased from 5.2 species 0.25 m-2 in 1996, to 6.8 species 0.25 m-2 in 2005 (S.E.¡À0.505). Heterogeneity in plant species composition tended to increase after prescribed burning was started in 1986 and after grazing began in 2006. Cattle preferred <i>Bromus inermis-</i> and <i>Poa pratensis-</i>dominated plant communities, areas with intermediate amounts of total aboveground standing crop of plants, and areas in which shrub densities exceeded 16 stems 0.25 m-2. In the short term, burning and environmental conditions had greater effects on species diversity, richness, and heterogeneity in species composition than grazing or the interaction of burning and grazing. Different responses may be expected with different combinations of timing, frequency, and intensity of burning and grazing at different sites under ever changing environmental conditions.

Pacific salmon (Oncorhynchus spp.) production strongly influences the ecosystems, cultures and economies of the Northeast Pacific. Historical variability in population sizes is complex, reflecting natural and human drivers. The nature and extent of such ‘exogenous’ controls on salmon and their nursery ecosystems are poorly understood, a significant impediment to sustainable fisheries management. Novel applications of paleolimnology demonstrate that past sockeye salmon abundances and nursery system ecology can be reconstructed from lake sediments. This thesis focuses on employing these techniques to establish the forcing mechanisms underlying salmon population and ecosystem dynamics, and determine the effects and interactions of fisheries management. I provided the first reconstruction for a southern North American stock, which demonstrated the influences of both conspicuous (e.g. commercial fishery, main-stem damming) and uncertain human impacts (e.g. local damming) on endangered salmon declines. By reconstructing ecological variability at multiple trophic levels, I established that rehabilitative management (e.g. fish stocking) may have permanently altered nursery lake rearing capacity, a change potentially reinforced by recent atmospheric changes. This work highlights significant impediments to ongoing recovery efforts. I extended my analysis of salmon management by exploring the interactive impacts of exotic salmon stocking on a remote northern lake. I demonstrated the utility of long-term data in pre-emptively understanding the complex impacts of stocking by documenting the long-term trajectories in limnological conditions. Integrating modeling, limnological and paleolimnological analyses, I determined that climate change and salmon introductions compound to alter chemical, physical and biological lake variables, ultimately altering ecosystem structure and functioning. Finally I reconstructed salmon abundances over the past six millennia, the longest record and the first Canadian example to date, demonstrating salmon production is cyclical and far more variable than observed in the monitoring record. My analyses established that North Pacific salmon production is forced by ocean-atmospheric teleconnections ultimately linked to climatic variability in the tropical Pacific. Further analyses provided the first evidence for a possible solar forcing of Holocene salmon production on both orbital and higher frequency time scales. Cumulatively this research improves our understanding of the processes underlying variability in Pacific salmon and their natal ecosystems, important to ecologically-informed future management. / Thesis (Ph.D, Biology) -- Queen's University, 2008-09-27 02:41:54.576

Conserving structural and compositional diversity in Fescue Prairie requires reintroducing natural disturbances according to their historic regime. Fire is an important natural process that may be a source of spatial heterogeneity in Fescue Prairies. The effects of burning in all months of the year except January and February were evaluated in a Fescue Prairie in central Saskatchewan for 6 years following burning on 2 sites that had not been previously burned and 2 sites that had been burned 5 years earlier. Except for burning in March, burning reduced cover of litter (P<0.01) and <i>Festuca hallii </i> (Vasey) Piper (P=0.01) while increasing bare soil (P<0.01) for 1 to 5 years. Cover of <i>Elymus lanceolatus </i>(Scribn. & J.G. Sm.) Gould (P<0.01), graminoids (P=0.02), and species evenness (P=0.01) increased with burning frequency. Burning in late-summer reduced cover of graminoids (P=0.03), plants other than the dominant grasses (P=0.03), and total plant cover (P=0.02). Burning increased the spatial variance (s2) in litter cover (P<0.01) and bare soil (P<0.01) for 1 to 3 years. Aside from burning in early spring, burning reduced s2 in total standing crop (P=0.02) and <i>F. hallii</i> (P=0.01). Variability in the cover of <i>E. lanceolatus </i>(P<0.01) and graminoids (P=0.04) increased with burning frequency. Canonical correspondence analysis (CCA) indicated that pre-burn history had a dominant effect on plant community composition, explaining 13% of the variation (P<0.01). The cumulative effects of repeated burning, annual variability in weather, and exposure to temperature extremes may have caused a shift in the composition of the plant community. The first 4 ordination axes explained 22% of the variation in plant community composition after burning, indicating that many other environmental or site variables controlled community composition. A range of burning dates and frequencies should be reintroduced or maintained in Fescue Prairie to create a mosaic of plant communities in various stages of recovery after burning. A mosaic will increase the structural and compositional diversity in remnant Fescue Prairies.

Conserving structural and compositional diversity in Fescue Prairie requires reintroducing natural disturbances according to their historic regime. Fire is an important natural process that may be a source of spatial heterogeneity in Fescue Prairies. The effects of burning in all months of the year except January and February were evaluated in a Fescue Prairie in central Saskatchewan for 6 years following burning on 2 sites that had not been previously burned and 2 sites that had been burned 5 years earlier. Except for burning in March, burning reduced cover of litter (P<0.01) and <i>Festuca hallii </i> (Vasey) Piper (P=0.01) while increasing bare soil (P<0.01) for 1 to 5 years. Cover of <i>Elymus lanceolatus </i>(Scribn. & J.G. Sm.) Gould (P<0.01), graminoids (P=0.02), and species evenness (P=0.01) increased with burning frequency. Burning in late-summer reduced cover of graminoids (P=0.03), plants other than the dominant grasses (P=0.03), and total plant cover (P=0.02). Burning increased the spatial variance (s2) in litter cover (P<0.01) and bare soil (P<0.01) for 1 to 3 years. Aside from burning in early spring, burning reduced s2 in total standing crop (P=0.02) and <i>F. hallii</i> (P=0.01). Variability in the cover of <i>E. lanceolatus </i>(P<0.01) and graminoids (P=0.04) increased with burning frequency. Canonical correspondence analysis (CCA) indicated that pre-burn history had a dominant effect on plant community composition, explaining 13% of the variation (P<0.01). The cumulative effects of repeated burning, annual variability in weather, and exposure to temperature extremes may have caused a shift in the composition of the plant community. The first 4 ordination axes explained 22% of the variation in plant community composition after burning, indicating that many other environmental or site variables controlled community composition. A range of burning dates and frequencies should be reintroduced or maintained in Fescue Prairie to create a mosaic of plant communities in various stages of recovery after burning. A mosaic will increase the structural and compositional diversity in remnant Fescue Prairies.

La fitness et a fortiori la survie d'une population dépendent de la stratégie et des performances de reproduction façonnées par son environnement. Par conséquent, les biomarqueurs traduisant une altération de la fonction de reproduction présentent un intérêt particulier. L'atteinte de la fertilité mâle au sein de la faune sauvage a notamment été adressée comme une problématique majeure susceptible de représenter une menace pour le maintien des populations. Toutefois, peu de méthodologies sont aujourd'hui disponibles chez des espèces pertinentes pour aborder cette problématique dans le cadre de programmes de biosurveillance environnementale, notamment chez les crustacés en dépit de leur représentativité au sein du règne animal et de leurs indispensables fonctions au sein des écosystèmes. Dans ce contexte, les présents travaux avaient pour objectif de proposer une ou plusieurs méthodologies basées sur la mesure de marqueurs de fonctionnalité et d'intégrité spermatique chez des crevettes Palaemonidae. Les investigations se sont portées sur deux espèces, une estuarienne, Palaemon longirostris, et une côtière, Palaemon serratus, pour leur complémentarité vis-à-vis du continuum estuaire - littoral. Compte tenu des nombreuses spécificités structurelles et fonctionnelles des spermatozoïdes de crustacés, I nombre de marqueurs transposables vers ces espèces s'est finalement avéré limité. Aussi, après une brève prospection, l'effort de recherche a rapidement été recentré sur la mesure de l'intégrité de l'ADN. Dès lors, la démarche scientifique a été construite de sorte à évaluer, point par point, la pertinence de la méthodologie développée dans une perspective d'application de l'outil dans le cadre de la surveillance environnementale. Une étape préliminaire d'optimisation et de validation méthodologique du test Cornet a démontré que, contrairement à une grande majorité de type spermatique, l'adaptation de ce test sur les spermatozoïdes de Palaemonidae ne nécessite aucune modification particulière du protocole. La dynamique de la réponse biologique en termes d'apparitions, de rémanence et d'effets possibles sur la fitness a été évaluée en conditions contrôlées au laboratoire. Ainsi, des expositions ex vivo et in vivo ont été conduites en utilisant une variété de génotoxiques modèles présentant différents modes d'actions. Les résultats ont attesté de la sensibilité, de la reproductibilité et du caractère intégrateur de la réponse. En revanche, aucun lien entre un ADN spermatique endommagé et une altération du succès de reproduction pré-éclosion n'a pu être établi. Parallèlement, une approche in situ a été conduite en vue de caractériser la valeur basale de la réponse mesurée. Différentes stratégies ont dû être adoptées en fonction des contraintes propres au milieu de vie de chacune des deux espèces. Un référentiel et une valeur seuil, communs aux deux espèces, ont pu être définis, soulignant le potentiel de transférabilité inter-espèces de l'outil. La méthodologie ainsi finalisée, a été éprouvée dans le cadre de plusieurs campagnes de suivi de différentes populations indigènes de l'estuaire et de la baie de Seine en 2015 et 2016. Les résultats se sont révélés très cohérents au regard de la pression de contamination et de la dynamique hydro-sédimentaire de la baie de Seine. En définitive, l'intégrité de l'ADN spermatique chez les Palaemonidae est opérationnelle en l'état pour un déploiement in situ en tant que biomarqueur d'exposition à un stress génotoxique. De futurs études devront néanmoins être conduites (1) pour mieux discerner les implications de ces dommages spermatiques en termes d'impact sur le recrutement des nouvelles cohortes et (2) éprouver la transférabilité de la méthodologie à d'autres espèces de crevettes et sur une plus large échelle géographique. / The environment shapes the reproduction's strategy and performance of a population, influencing its fitness and a fortiori its survival. Therefore, biomarkers that alter reproductive functions represent a great interest in ecotoxicology. The reduction of male fertility in wildlife can represent a threat to the population's survival. Moreover, fcw methodologies are available for species that are relevant to address this issue on envimnmental biomonitoring programs, especially for crustaceans, despite their representativeness in the wildlife and their essential functions within ecosysterns. The present work aimed to propose methodologies based on the measurement of functionality and integrity spermatic biomarkers on Palaemonidae shrimps. We studied two species, an estuarine, Palaemon longirostris, and a coastal species. Palaemon serratus. due to their complementaiity on the continuum estuary-littoral ecosystem. Howevcr, crustaceans' sperm has many structuraI and functional characteristics, the number of transposable markers is limited. Thereafter, the research effort was refocused on the measurement of the DNA integrity and this inethod was evaluated for its adequacy for a biomonitoring study. We optitrtized and validate the Cornet assay for the Palaemonidae species, and the dynamic of the biological response in ternis of appearances, persistence, and possible effects on fitness was evaluated under controlled conditions in the laboratoiy. Furthermore, ex-vivo and in-vivo exposures were conducted using genotoxic models with different modes of action. On the one hand, results attested to the sensibility, the reproducibility and the integrating character of the response, on the other hand, no correlation between damaged sperm DNA and an altération of the pre-hatch stage of development was established. In paralIel, an in-situ approach was conducted to characterize the baseline level of the measured response, taking into consideration the specific constraints of each species' habitat. We were able to define a common baseline level and a threshold value for both species, highlighting the potential of the tool for inter-species transferability. This method was tested with native populations from the estuary and from the Seine Bay in 2015 and 20] 6. And, the results proved to be consistent with the contamination pressure and the hydro-sedimentary dynamics of the Seine Bay. Ultimately, the DNA integrity of sperm in Palaemonidae seems to be functional for in-situ deploytnents as a biomarker of exposure to genotoxic stress. Nevertheless, future studies should be conducted (1) to botter discern the implications of this spermatic damage on the recruitment of new cohorts and, (2) to test the transferability of the methodology to other shrimp species and on a wider geographical scale.