Éditeur(s) : INRA : Institut National de la Recherche Agronomique Université des Antilles. Service commun de la documentation INRA : Institut National de la Recherche Agronomique Université des Antilles. Service commun de la documentation
Extrait de : 52e congrès annuel de la Société caribéenne des plantes alimentaires / 52nd annual meeting of the Caribbean food crops society (CFCS), du 10 au 16 juillet 2016. INRA, CFCS
Description : The importance of longevity as an economically trait gives a picture of the flock efficiency and adaptation in a particular environment. A study was conducted in the experimental herd of Creole goats at INRA in Guadeloupe in order to test environmental (year and season at first kidding, age at first kidding and weight at first mating as well as genetic (index of resistance, sire) factors that affect longevity of does. Lifetime data set of 387 Creole does, reared at pasture all year long, was recorded over a period of 11 years (2001-2012). Does were bred for reproduction at 11months of age. Three mating periods were organized per year, corresponding to 3 climatic seasons, using buck effect. Data were analyzed using survival models (Survival Kit 6.1). The average age for culling was 5.03 years. The culling rate was higher for goats between 2 and 3 years (17 and 24%) and then gradually decreased. Year and season at first kidding did not have a long term influence on does? longevity; neither does age at first kidding. In contrast, weight at first mating had a significant effect and it can be recommended to farmers to mate primiparous goats heavier than 17 kg. Heritability was estimated to 0.16 allowing some genetic progress. No significant correlation was shown with the genetic breeding value of resistance to gastrointestinal parasitism. This study gave indications to breeders to improve their female flock management and increase does? longevity. L'importance de la longévité comme trait économique donne une image de l'efficacité et de l'adaptation de troupeau dans un environnement particulier. Une étude a été entreprise dans le troupeau expérimental de chèvres créoles à l'AICN en Guadeloupe afin d'examiner ambiant (l'année et la saison d'abord badiner, âge d'abord badiner et poids d'abord joindre aussi bien que (index de résistance, de père) les facteurs génétiques affectez dont la longévité fait. L'ensemble de données de vie du Créole 387 fait, élevé au pâturage tout au long de l'année, a été enregistré pendant 11 ans (2001-2012). Fait ont été multipliés pour la reproduction à 11months d'âge. Trois périodes d?accouplement ont été organisées par an, correspondant à 3 saisons climatiques, utilisant l'effet de mâle. Des données ont été analysées utilisant des modèles de survie (trousse de survie 6,1). L'âge moyen pour cueillir était de 5,03 ans. Le taux de cueillage était plus haut pour des chèvres entre 2 et 3 ans (17 et 24%) et alors graduellement diminué. L'année et la saison à premier badiner n'ont pas eu une influence à long terme sur la longévité des does ; ni l'un ni l'autre ne vieillit d'abord badiner. En revanche, le poids au premier accouplement a eu un effet significatif et il peut recommander aux agriculteurs de joindre les chèvres primipares des que 17 kilogrammes plus lourds. L'héritabilité a été estimée à 0,16 permettant du progrès génétique. Aucune corrélation significative n'a été montrée avec la valeur d'élevage génétique de la résistance au parasitisme gastro-intestinal. Cette étude a donné des indications aux éleveurs afin d'améliorer la gestion féminine de troupeau et d'augmenter la longévité de ces dernières.
Siècle(s) traité(s) : 21
Droits : CC-BY-NC-ND - Attribution - Pas d'utilisation commerciale - Pas de modification
Permalien : http://www.manioc.org/fichiers/V16262
V16262
V16262

Éditeur(s) : CIMMYT CIMMYT ( Mexico )
Résumé : (Bibliography) Includes bibliographical references (p. 16-17).
(Statement of Responsibility) A. Dewi Hartkamp ... et al..
Mexico
Jalisco
Mexico
Jalisco

45569667
1405-7484 ;

Éditeur(s) : Université des Antilles Études caribéennes
Résumé : Le changement climatique et le développement durable du tourisme représentent des enjeux majeurs pour l’avenir du tourisme dans plusieurs régions du monde, notamment aux Antilles françaises. Aussi, la présente étude se propose d’analyser et d’évaluer les effets économiques de la variation climatique sur le secteur touristique à la Guadeloupe et à la Martinique, pour quatre raisons essentielles : (a) le secteur du tourisme et les petites économies insulaires qui en dépendent, comme celles de la Guadeloupe et de la Martinique, sont fortement sensibles à la variabilité et au changement du climat. (b) la vulnérabilité intrinsèque de ces petites destinations et de leurs infrastructures à l’élévation du niveau de la mer et aux évènements climatiques extrêmes (cyclones, inondations, sécheresse), (c) la haute dépendance de l’industrie touristique régionale à l’utilisation des énergies fossiles, (d) enfin, en raison du fait qu’aucune évaluation économique chiffrée n’a été produite à ce jour sur les effets économiques de la la variation climatique sur le secteur touristique à la Guadeloupe et à la Martinique. Par conséquent, il importe de cerner dans ces deux régions les conséquences possibles de ce changement au plan touristique et d’envisager le cas échéant des stratégies d’adaptation et d’atténuation. Ce faisant, cette étude se fixe quatre objectifs principaux : (a) examiner les facteurs qui influencent la demande et l’offre de tourisme aux Antilles Françaises ; (b) effectuer à l’aide d’un modèle de demande touristique, l’impact économique de ces facteurs sur le nombre d’arrivées ainsi que sur la dépense touristique dans ces régions ; (c) évaluer et projeter en termes de coût, les effets du changement climatique sur l’activité touristique ; et (d) proposer aux autorités locales, des stratégies d’adaptation et d’atténuation face au défi du changement climatique.L’évaluation de ces différents effets est abordée ici à l’aide d’un modèle structurel de base (MSB) et d’un modèle structurel général (MSG), inspirés tous deux des travaux de Harvey (1990) pour capter à l’aide d’un indice climato-touristique, les éléments du climat qui impactent l’activité touristique. Cet indice synthétique est calculé en se basant sur les données climatiques du passé selon deux scénarios climatiques proposés par le groupe d’experts intergouvernemental sur l’évolution du climat (GIEC) – un scénario pessimiste A2, et un scénario optimiste B2-. Les résultats issus de l’application de ces modèles montrent que les caractéristiques climato-touristiques de la Guadeloupe et de la Martinique subiront vraisemblablement un déclin à long terme, et devraient au plan économique impacter négativement le secteur touristique de ces destinations, se traduisant par des pertes à la fois d’attractivité et de chiffre d’affaires du secteur. Les pertes subies par le tourisme en raison du changement climatique s’élèveraient à l’horizon 2100, et selon le scénario A2, à 45 millions d’euros à la Guadeloupe soit 0,7% de son PIB 2004, et à 60 millions d’euros à la Martinique soit 0,8% de son PIB 2004.
Climate change and the tourism sustainable development are important challenges for tourism future trends of many countries, including the French West Indies. Therefore, this study provides an evaluation of the likely economic effects of climate change on tourism sector in Guadeloupe and Martinique, and identifies four reasons why these countries should be concerned about the potential effects of climate change on tourism: (a) Guadeloupe and Martinique are island destinations very sensitive to climate change; (b) their intrinsic vulnerability and their infrastructure to sea level rise and extreme climatic events (e.g. hurricanes and floods); (c) the high dependence of their tourist industry on carbon-based fuels; and (d) up to date, no economic evaluation of climate change on tourism sector in Guadeloupe and Martinique is provided. Therefore, this study attempted to quantify the likely effects of the changes in the climatic factors on the economy of the French West Indies. There are four main objectives in this study. The first is to examine the factors that influence the demand and supply tourism in Guadeloupe and Martinique. The second is to forecast the impact of climate change to tourism arrivals until 2050 under two scenarios from the intergovernmental panel on climate change (IPCC) – A2: pessimistic scenario and B2: optimistic scenario-. Third is to evaluate and forecast the cost of climate change to the tourism sector until 2100. The fourth is to recommend to authorities the adaptation and mitigation strategies that can be undertaken by the tourism sector to French West Indies to address climate change.Following Harvey (1990), a Basic Structural Model (BSM) and a General structural Model (GSM), are employed to model tourist arrivals to Martinique. A tourism climatic index (TCI) conceptualized by Mieczkowski (1985) is used in this model to capture the elements of climate that impact on a destination’s experience. The results suggest that under both scenarios, the island’s key tourism climatic features will probably decline, and therefore, negatively impact on the destination experience of visitors. Tourism losses due to climate change are projected in 2100 to 45 millions euros in Guadeloupe, or 0.7% of its GDP, and to 60 millions euros in Martinique, or 0,8% of its GDP.
Guadeloupe
Martinique

Droits : info:eu-repo/semantics/openAccess
urn:doi:10.4000/etudescaribeennes.6750
http://journals.openedition.org/etudescaribeennes/6750

Éditeur(s) : Elsevier Sci Ltd
Résumé : This study analyses the impact on the oceanic mean state of the evolution of the oceanic component (NEMO) of the climate model developed at Institut Pierre Simon Laplace (IPSL-CM), from the version IPSL-CM4, used for third phase of the Coupled Model Intercomparison Project (CMIP3), to IPSL-CM5A, used for CMIP5. Several modifications have been implemented between these two versions, in particular an interactive coupling with a biogeochemical module, a 3-band model for the penetration of the solar radiation, partial steps at the bottom of the ocean and a set of physical parameterisations to improve the representation of the impact of turbulent and tidal mixing. A set of forced and coupled experiments is used to single out the effect of each of these modifications and more generally the evolution of the oceanic component on the IPSL coupled models family. Major improvements are located in the Southern Ocean, where physical parameterisations such as partial steps and tidal mixing reinforce the barotropic transport of water mass, in particular in the Antarctic Circumpolar Current) and ensure a better representation of Antarctic bottom water masses. However, our analysis highlights that modifications, which substantially improve ocean dynamics in forced configuration, can yield or amplify biases in coupled configuration. In particular, the activation of radiative biophysical coupling between biogeochemical cycle and ocean dynamics results in a cooling of the ocean mean state. This illustrates the difficulty to improve and tune coupled climate models, given the large number of degrees of freedom and the potential compensating effects masking some biases.
Ocean Modelling (1463-5003) (Elsevier Sci Ltd), 2013-12 , Vol. 72 , P. 167-184

Droits : 2013 The Authors. Published by Elsevier Ltd. All rights reserved.
http://archimer.ifremer.fr/doc/00170/28102/26612.pdf
DOI:10.1016/j.ocemod.2013.09.001
http://archimer.ifremer.fr/doc/00170/28102/

Éditeur(s) : Springer
Résumé : We present the global general circulation model IPSL-CM5 developed to study the long-term response of the climate system to natural and anthropogenic forcings as part of the 5th Phase of the Coupled Model Intercomparison Project (CMIP5). This model includes an interactive carbon cycle, a representation of tropospheric and stratospheric chemistry, and a comprehensive representation of aerosols. As it represents the principal dynamical, physical, and bio-geochemical processes relevant to the climate system, it may be referred to as an Earth System Model. However, the IPSL-CM5 model may be used in a multitude of configurations associated with different boundary conditions and with a range of complexities in terms of processes and interactions. This paper presents an overview of the different model components and explains how they were coupled and used to simulate historical climate changes over the past 150 years and different scenarios of future climate change. A single version of the IPSL-CM5 model (IPSL-CM5A-LR) was used to provide climate projections associated with different socio-economic scenarios, including the different Representative Concentration Pathways considered by CMIP5 and several scenarios from the Special Report on Emission Scenarios considered by CMIP3. Results suggest that the magnitude of global warming projections primarily depends on the socio-economic scenario considered, that there is potential for an aggressive mitigation policy to limit global warming to about two degrees, and that the behavior of some components of the climate system such as the Arctic sea ice and the Atlantic Meridional Overturning Circulation may change drastically by the end of the twenty-first century in the case of a no climate policy scenario. Although the magnitude of regional temperature and precipitation changes depends fairly linearly on the magnitude of the projected global warming (and thus on the scenario considered), the geographical pattern of these changes is strikingly similar for the different scenarios. The representation of atmospheric physical processes in the model is shown to strongly influence the simulated climate variability and both the magnitude and pattern of the projected climate changes.
Climate Dynamics (0930-7575) (Springer), 2013-05 , Vol. 40 , N. 9-10 , P. 2123-2165

Droits : The Author(s) 2013. This article is published with open access at Springerlink.com
http://archimer.ifremer.fr/doc/00138/24966/23079.pdf
DOI:10.1007/s00382-012-1636-1
http://archimer.ifremer.fr/doc/00138/24966/

Éditeur(s) : HAL CCSD Public Library of Science
Résumé : International audience
Understanding the factors underlying the spatio-temporal distribution of infectious diseases provides useful information regarding their prevention and control. Dengue fever spatio-temporal patterns result from complex interactions between the virus, the host, and the vector. These interactions can be influenced by environmental conditions. Our objectives were to analyse dengue fever spatial distribution over New Caledonia during epidemic years, to identify some of the main underlying factors, and to predict the spatial evolution of dengue fever under changing climatic conditions, at the 2100 horizon. We used principal component analysis and support vector machines to analyse and model the influence of climate and socio-economic variables on the mean spatial distribution of 24,272 dengue cases reported from 1995 to 2012 in thirty-three communes of New Caledonia. We then modelled and estimated the future evolution of dengue incidence rates using a regional downscaling of future climate projections. The spatial distribution of dengue fever cases is highly heterogeneous. The variables most associated with this observed heterogeneity are the mean temperature, the mean number of people per premise, and the mean percentage of unemployed people, a variable highly correlated with people's way of life. Rainfall does not seem to play an important role in the spatial distribution of dengue cases during epidemics. By the end of the 21st century, if temperature increases by approximately 3°C, mean incidence rates during epidemics could double. In New Caledonia, a subtropical insular environment, both temperature and socio-economic conditions are influencing the spatial spread of dengue fever. Extension of this study to other countries worldwide should improve the knowledge about climate influence on dengue burden and about the complex interplay between different factors. This study presents a methodology that can be used as a step by step guide to model dengue spatial heterogeneity in other countries.
ISSN: 1935-2727

Droits : http://creativecommons.org/licenses/by/
pasteur-01247037
https://hal-riip.archives-ouvertes.fr/pasteur-01247037
https://hal-riip.archives-ouvertes.fr/pasteur-01247037/document
https://hal-riip.archives-ouvertes.fr/pasteur-01247037/file/journal.pntd.0004211.pdf
DOI : 10.1371/journal.pntd.0004211

Résumé : The management of marine fish stocks has stayed non-spatial, considering spatial distributions and their consequences on demography as implicit. But the impacts of climate change and the anthropisation of habitats now require to consider spatial procedures explicitly. The work presented here starts with the question of evaluating population abundance, which requires the modelling of spatial distributions (section 1). Then an ecological understanding of the multi-scale nature of distributions is investigated (section 2). Last, we study how demographic population dynamics depends on the spatial organisation of life cycles (section 3). In this work, the approach has been to combine data acquisition at sea with statistical characterisation and modelling. The application of geostatistics to fisheries survey data provided a solution to abundance evaluation and mapping for many different survey designs. A variety of models were implemented (stationary, non-stationary, non-linear, multivariate, spatio-temporal), depending on the statistical characteristics of the data and the problem posed. Sampling bias were identified by combining different survey methods. New procedures for assessing stocks based on indicators including spatial ones were developed, which prepared for ecosystem assessments. (...)
La gestion des stocks de poissons marins est longtemps restée a-spatiale, considérant implicites les mécanismes d’organisation spatiale qui soutiennent la distribution géographique des ressources et leur dynamique démographique. Mais l’impact du changement climatique et l’anthropisation des habitats nécessitent d’en tenir compte explicitement. Partant de questions d’évaluation qui ont nécessité la modélisation des distributions spatiales (section 1), le déterminisme écologique de ces distributions a ensuite été abordé à différentes échelles (section 2) puis ont été envisagées les conséquences de l’organisation spatiale sur la dynamique démographique des populations (section 3). L’approche scientifique suivie intègre l’acquisition de données à la mer, la caractérisation statistique et la modélisation. L’application de la géostatistique aux données des campagnes halieutiques permet de proposer une solution à l’estimation d’abondance et la cartographie pour une variété de plans d’échantillonnage. Différents modèles sont mis en oeuvre (stationnaires, non-stationnaires, non-linéaires, multivariés, spatio-temporels) en fonction du comportement des données et du problème posé. Des biais d’échantillonnage sont identifiés en combinant différentes méthodes d’échantillonnage. Des procédures nouvelles d’évaluation de stocks à partir d’indicateurs dont des indicateurs spatiaux sont développées, qui préparent à l’évaluation des écosystèmes. (...)

Droits : Ifremer, UPMC
http://archimer.ifremer.fr/doc/00013/12410/9197.pdf
http://archimer.ifremer.fr/doc/00013/12410/

Éditeur(s) : Copernicus Gesellschaft Mbh
Résumé : From 10 to 8 ka BP (thousand years before present), paleoclimate records show an atmospheric and oceanic cooling in the high latitudes of the Southern Hemisphere. During this interval, temperatures estimated from proxy data decrease by 0.8 degrees C over Antarctica and 1.2 degrees C over the Southern Ocean. In order to study the causes of this cooling, simulations covering the early Holocene have been performed with the climate model of intermediate complexity LOVECLIM constrained to follow the signal recorded in climate proxies using a data assimilation method based on a particle filtering approach. The selected proxies represent oceanic and atmospheric surface temperature in the Southern Hemisphere derived from terrestrial, marine and glaciological records. Two mechanisms previously suggested to explain the 10-8 ka BP cooling pattern are investigated using the data assimilation approach in our model. The first hypothesis is a change in atmospheric circulation, and the second one is a cooling of the sea surface temperature in the Southern Ocean, driven in our experimental setup by the impact of an increased West Antarctic melting rate on ocean circulation. For the atmosphere hypothesis, the climate state obtained by data assimilation produces a modification of the meridional atmospheric circulation leading to a 0.5 degrees C Antarctic cooling from 10 to 8 ka BP compared to the simulation without data assimilation, without congruent cooling of the atmospheric and sea surface temperature in the Southern Ocean. For the ocean hypothesis, the increased West Antarctic freshwater flux constrainted by data assimilation (+100 mSv from 10 to 8 ka BP) leads to an oceanic cooling of 0.7 degrees C and a strengthening of Southern Hemisphere westerlies (+6 %). Thus, according to our experiments, the observed cooling in Antarctic and the Southern Ocean proxy records can only be reconciled with the reconstructions by the combination of a modified atmospheric circulation and an enhanced freshwater flux.
Climate Of The Past (1814-9324) (Copernicus Gesellschaft Mbh), 2013 , Vol. 9 , N. 2 , P. 887-901

Droits : Author(s) 2013. CC Attribution 3.0 License.
http://archimer.ifremer.fr/doc/00181/29203/27584.pdf
DOI:10.5194/cp-9-887-2013
http://archimer.ifremer.fr/doc/00181/29203/

Éditeur(s) : HAL CCSD European Geosciences Union
Résumé : International audience
The seasonal climate drivers of the carbon cycle in tropical forests remain poorly known, although these forests account for more carbon assimilation and storage than any other terrestrial ecosystem. Based on a unique combination of seasonal pan-tropical data sets from 89 experimental sites (68 include aboveground wood productivity measurements and 35 litter productivity measurements), their associated canopy photosynthetic capacity (enhanced vegetation index, EVI) and climate, we ask how carbon assimilation and aboveground allocation are related to climate seasonality in tropical forests and how they interact in the seasonal carbon cycle. We found that canopy photosynthetic capacity seasonality responds positively to precipitation when rainfall is < 2000 mm yr(-1) (water-limited forests) and to radiation otherwise (light-limited forests). On the other hand, independent of climate limitations, wood productivity and litterfall are driven by seasonal variation in precipitation and evapotranspiration, respectively. Consequently, light-limited forests present an asynchronism between canopy photosynthetic capacity and wood productivity. First-order control by precipitation likely indicates a decrease in tropical forest productivity in a drier climate in water-limited forest, and in current light-limited forest with future rainfall < 2000 mm yr(-1).
ISSN: 1726-4170

hal-01557759
https://hal.univ-lorraine.fr/hal-01557759
https://hal.univ-lorraine.fr/hal-01557759/document
https://hal.univ-lorraine.fr/hal-01557759/file/bg-13-2537-2016.pdf
DOI : 10.5194/bg-13-2537-2016

Éditeur(s) : HAL CCSD
Résumé : International audience
In this work, we have led an analysis of the error of different global solar radiation prediction models according to the global solar radiation variability. Different predictions models where performed such as machine learning techniques (Neural Networks, Gaussian processes and support vector machines) in order to forecast the Global Horizontal solar Irradiance (GHI). We also include in this study a simple linear autoregressive (AR) model as well as two naive models based on persistence of the GHI and persistence of the clear sky index (denoted herein scaled persistence model). The models are calibrated and tested with data from three 3 French islands: Corsica (42.15°N ; 9.08°E), Guadeloupe (16.25°N ; 61.58°W) and Reunion (21.15°S ; 55.5°E). Guadeloupe and Reunion are located in a subtropical climatic zone whereas Corsica is in a tempered climatic zone. Hence the global solar radiation variation differs significantly. The output error of the different models was quantified by the nRSME. In order to quantify the influence of the global solar radiation variability on the forecasting models error we performed a classification of typical days according to different typical days. Each class of typical day is defined by a variation of global solar radiation rate. For each class and for each location, the selected forecasting models where performed and the error was quantified. With this analysis a global solar radiation forecasting models can be selected according to the location, the global solar radiation fluctuations and hence the meteorological conditions. INTRODUCTION Large and frequent variations of solar radiation can be observed in tropical climates with amplitudes reaching 800 W/m² and occurring within a short time interval, from few seconds to few minutes, according to the geographical location. Such fluctuations can be due for example to the dynamic of clouds which can be very complex and depend on cloud type, size, speed and spatial distribution and, more generally, due to some specific local meteorological conditions. Thus, the solar energy forecasting, a process used to predict the amount of solar energy available in the current and near terms, might be a difficult task. Some of the best predictors found in literature are Autoregressive and moving average (ARMA) [5,7,8], Bayesian inferences [9,10], Markov chains [11], k-Nearest-Neighbors predictors [12] or artificial intelligence techniques as the Artificial Neural Network (ANN) [9-11]. Although these methodologies are potentially good in many areas, we observed in our previous studies on global radiation prediction [9,13,14] that the simple model based on the persistence of the clear sky index gives often very good results with acceptable errors [15] for short term forecasting time horizon (<= 1 hour). The goal of this paper is to determinate the influence of solar radiation variability regarding different classes of days on the expected error provided by different forecasting methods that the modeller can possibly implement. The paper is organized as follow: Section 2 describes the data we have used. Section 3 exposes the classification methodology and the results obtained for the three studied locations. In the two following sections, the forecasting methods are exposed and then 3 the errors on the forecasting results for each location and for each class are exposed.
The Third Southern African Solar Energy Conference (SASEC2015)
Kruger National Park, South Africa

Droits : info:eu-repo/semantics/OpenAccess
hal-01099487
https://hal.archives-ouvertes.fr/hal-01099487
https://hal.archives-ouvertes.fr/hal-01099487/document
https://hal.archives-ouvertes.fr/hal-01099487/file/article%20SASEC.pdf

Éditeur(s) : HAL CCSD Elsevier
Résumé : International audience
Plio-Pleistocene diatomitic sequences in the Shamb paleo-lake (South Armenia, Lesser Caucasus) offer a rare opportunity to give new insights on the paleo-climate of Western Asia. We present an integrated palynological, 40Ar/39Ar geochronologic and magnetostratigraphic study for the most complete section in the sedimentary deposits of the Shamb paleo-lake. 40Ar/39Ar dating of two volcaniclastic layers provided ages of 1.24 ± 0.03 and 1.16 ± 0.02 Ma (2. Magnetostratigraphic data show that the entire Shamb section is of reversed polarity which, combined with 40Ar/39Ar dating, suggests that the entire section correlates with part of the Matuyama period (1.785-1.070 Ma). Pollen assemblages and macroremains diversity clearly show an alternation of glacial and interglacial phases. Age calibrations and accumulation rate extrapolation allow a direct correlation of climate changes with the global isotopic curve, and show that the Shamb section probably ranges from approximately 1.300 to 1.080 Ma (marine isotopic stages 40 to 31). The vegetation of the Lesser Caucasus developed in a mosaic pattern in a Pleistocene continental, mostly arid climate, comparable to the present-day climate. The observed vegetation changes record a dominant climate response to the obliquity orbital parameter, but the influence of precession could not be established from the Shamb data. Pollen and macroflora both indicate that glacial periods were cold and dry and that interglacials were warm with local humidity. The early Pleistocene climatic model for Western Asia is thus similar to the climatic model for the Mediterranean area.
ISSN: 0012-821X

hal-00470353
https://hal.archives-ouvertes.fr/hal-00470353
DOI : 10.1016/j.epsl.2010.01.007

Éditeur(s) : HAL CCSD Elsevier Masson
Résumé :  
Modeling soil water availability for tropical trees is a prerequisite to predicting the future impact of climate change on tropical forests. In this paper we develop a discrete-time deterministic water balance model adapted to tropical rainforest climates, and we validate it on a large dataset that includes micrometeorological and soil parameters along a topographic gradient in a lowland forest of French Guiana. The model computes daily water fluxes (rainfall interception, drainage, tree transpiration and soil plus understorey evapotranspiration) and soil water content using three input variables: daily precipitation, potential evapotranspiration and solar radiation. A novel statistical approach is employed that uses Time Domain Reflectometer (TDR) soil moisture data to estimate water content at permanent wilting point and at field capacity, and root distribution. Inaccuracy of the TDR probes and other sources of uncertainty are taken into account by model calibration through a Bayesian framework. Model daily output includes relative extractable water, REW, i.e. the daily available water standardized by potential available water. The model succeeds in capturing temporal variations in REW regardless of topographic context. The low Root Mean Square Error of Predictions suggests that the model captures the most important drivers of soil water dynamics, i.e. water refilling and root water extraction. Our model thus provides a useful tool to explore the response of tropical forests to climate scenarios of changing rainfall regime and intensity.
ISSN: 0168-1923

hal-01032181
https://hal.archives-ouvertes.fr/hal-01032181
DOI : 10.1016/j.agrformet.2011.04.012

Éditeur(s) : HAL CCSD Public Library of Science
Résumé : Climate models for the coming century predict rainfall reduction in the Amazonian region, including change in water availability for tropical rainforests. Here, we test the extent to which climate variables related to water regime, temperature and irradiance shape the growth trajectories of neotropical trees. . We developed a diameter growth model explicitly designed to work with asynchronous climate and growth data. Growth trajectories of 205 individual trees from 54 neotropical species censused every 2 months over a 4-year period were used to rank 9 climate variables and find the best predictive model. . About 9% of the individual variation in tree growth was imputable to the seasonal variation of climate. Relative extractable water was the main predictor and alone explained more than 60% of the climate effect on tree growth, i.e. 5.4% of the individual variation in tree growth. Furthermore, the global annual tree growth was more dependent on the diameter increment at the onset of the rain season than on the duration of dry season. . The best predictive model included 3 climate variables: relative extractable water, minimum temperature and irradiance. The root mean squared error of prediction (0.035 mm.d(-1)) was slightly above the mean value of the growth (0.026 mm.d(-1)). . Amongst climate variables, we highlight the predominant role of water availability in determining seasonal variation in tree growth of neotropical forest trees and the need to include these relationships in forest simulators to test, in silico, the impact of different climate scenarios on the future dynamics of the rainforest.
ISSN: 1932-6203

hal-01268350
https://hal.archives-ouvertes.fr/hal-01268350
DOI : 10.1371/journal.pone.0034074
PRODINRA : 215438
PUBMED : 22506012

Éditeur(s) : HAL CCSD Wiley
Résumé : International audience
Coral bleaching events threaten coral reef habitats globally and cause severe declines of local biodiversity and productivity.Related to high sea surface temperatures (SST), bleaching events are expected to increase as a consequenceof future global warming. However, response to climate change is still uncertain as future low-latitude climatic conditionshave no present-day analogue. Sea surface temperatures during the Eocene epoch were warmer than forecastedchanges for the coming century, and distributions of corals during the Eocene may help to inform models forecastingthe future of coral reefs. We coupled contemporary and Eocene coral occurrences with information on their respectiveclimatic conditions to model the thermal niche of coral reefs and its potential response to projected climate change.We found that under the RCP8.5 climate change scenario, the global suitability for coral reefs may increase up to 16%by 2100, mostly due to improved suitability of higher latitudes. In contrast, in its current range, coral reef suitabilitymay decrease up to 46% by 2100. Reduction in thermal suitability will be most severe in biodiversity hotspots, especiallyin the Indo-Australian Archipelago. Our results suggest that many contemporary hotspots for coral reefs,including those that have been refugia in the past, spatially mismatch with future suitable areas for coral reefs posingchallenges to conservation actions under climate change.
ISSN: 1354-1013

hal-01145464
https://hal.archives-ouvertes.fr/hal-01145464
DOI : 10.1111/gcb.12868

Éditeur(s) : HAL CCSD MDPI
Résumé : International audience
The future of tropical managed forests is threatened by climate change. In anticipation of the increase in the frequency of drought episodes predicted by climatic models for intertropical regions, it is essential to study commercial trees' resilience and vulnerability to water stress by identifying potential interaction effects between selective logging and stress due to a lack of water. Focusing on 14 species representing a potential or acknowledged commercial interest for wood production in the Guiana Shield, a joint model coupling growth and mortality for each species was parametrized, including a climatic variable related to water stress and the quantity of aboveground biomass lost after logging. For the vast majority of the species, water stress had a negative impact on growth rate, while the impact of logging was positive. The opposite results were observed for the mortality. Combining results from growth and mortality models, we generate vulnerability profiles and ranking from species apparently quite resistant to water stress (Chrysophyllum spp., Goupia glabra Aubl., Qualea rosea Aubl.), even under logging pressure, to highly vulnerable species (Sterculia spp.). In light of our results, forest managers in the Guiana Shield may want to conduct (i) a conservation strategy of the most vulnerable species and (ii) a diversification of the logged species. Conservation of the already-adapted species may also be considered as the most certain way to protect the tropical forests under future climates.
ISSN: 1999-4907

hal-01315432
https://hal-sde.archives-ouvertes.fr/hal-01315432
DOI : 10.3390/f7050105

Éditeur(s) : Oxford university press
Résumé : The eastern Baltic cod stock collapsed as a consequence of climate-driven adverse hydrographic conditions and over fishing and has remained at historically low levels. Spatio-temporal fishing closures [Marine Protected Areas (MPAs)] have been implemented since 1995, to protect and restore the spawning stock. However, no signs of recovery have been observed yet, either suggesting that MPAs are an inappropriate management measure or pointing towards suboptimal closure design. We used the spatially explicit fishery simulation model ISIS-Fish to evaluate proposed and implemented fishery closures, combining an age-structured population module with a multifleet exploitation module and a management module in a single model environment. The model is parameterized based on (i) the large amount of biological knowledge available for cod and (ii) an analysis of existing spatially disaggregated fishery data. As the population dynamics of eastern Baltic cod depend strongly on the climate-driven hydrographic regime, we considered two production regimes of the stock. MPAs were only effective for stock recovery when they reduced overall fishing effort. The performance of MPAs needs to be evaluated relative to environmental regimes, especially for stocks facing strong environmental variability.
ICES Journal of Marine Science (1054-3139) (Oxford university press), 2009 , Vol. 66 , N. 1 , P. 109-121

Droits : 2008 ICES/CIEM
http://archimer.ifremer.fr/doc/2009/publication-6094.pdf
DOI:10.1093/icesjms/fsn166
http://archimer.ifremer.fr/doc/00000/6094/

Éditeur(s) : Université des Antilles Études caribéennes
Résumé : This study explores weather perceptions, evaluations and behavior of holiday-tourists to the French Caribbean island of La Martinique. Herein, the importance of selected weather parameters for a ‘typical’ summer holiday, for the choice that was made in coming to Martinique and for planned activities is examined. 32 snapshot interviews were held in two brief time periods within a month. Results illustrated slight differences in climate preferences for respondents depending whether they come from a cold or from a warm climate country, that activity patterns seemed overall little influenced by changing weather conditions and that the experienced weather, which was marked by heavy rains in the first data collection period and by changeable weather in the second, appeared to take only a limited impact on return intentions. Albeit the limited possibility of a pilot study to produce valid and reliable findings, variables and factors which are critical to consider when examining weather perceptions and behaviors have been pointed out and presented in a conceptual model for further research.
Cette étude explore les perceptions et les évaluations des conditions météorologiques et les comportements des vacanciers sur l'île de la Martinique. A ce sujet, l´étude examine l'influence de certains paramètres météorologiques sélectionnés sur des vacances d'été «typiques», sur le choix de la destination Martinique et sur les activités envisagées sur lieu. 32 interviews instantanées ont eu lieu en deux courtes périodes de temps pendant un mois. Les résultats illustraient qu´il y avait de légères différences concernant les préférences climatiques selon que les répondants venaient d'un pays au climat froid ou chaud, que les schémas d'activité semblaient généralement peu influencés par les changements météorologiques et que le temps - marquées par de fortes pluies dans la première période de la collecte de données et par un temps variable dans la seconde période - semblait n´avoir qu´un impact limité sur les intentions à revenir à la Martinique. Bien que l´étude pilote n´ait que des possibilités limitées de fournir des résultats valides et fiables, elle identifie les variables et les facteurs qui sont essentiels à considérer lors d´un projet de recherche qui examine la perception des conditions météorologiques par les touristes et les comportements qui en résultent. Ces facteurs sont présentés dans un modèle conceptuel.
Martinique

Droits : info:eu-repo/semantics/openAccess
urn:doi:10.4000/etudescaribeennes.5323
http://journals.openedition.org/etudescaribeennes/5323

Résumé : En 2013, Le Groupe d'experts Intergouvernemental sur l'Evolution du Climat (GIEC) publie son cinquième rapport concernant les changements climatiques. Il y est souligné que le réchauffement climatique est sans équivoque, et que de nouvelles émissions de gaz à effet de serre impliqueront une poursuite du réchauffement et des changements affectant toutes les composantes du système climatique. En région tropicale, une hausse de la température, ainsi qu'une intensification des événements de sécheresse et de pluviométrie extrêmes sont à prévoir. C'est dans ce contexte que s'inscrit ce travail, dont le but est d'étudier la réponse de la forêt tropicale à ces changements climatiques prédits en Guyane Française. Pour ce faire, j'ai utilisé les données du dispositif de suivi forestier de Paracou pour construire un modèle de dynamique individuel basé sur les traits fonctionnels des arbres. Un modèle de mortalité a d'abord été réalisé puis couplé à un modèle de croissance.Le modèle couplé ainsi construit permet de modéliser la croissance et la mortalité des arbres sur un pas de temps de 2 ans tout en tenant compte de leur ontogénie et de leurs traits fonctionnels. Ce modèle a d'abord été appliqué aux essences commerciales de Guyane Française en forêt naturelle et exploitée en y ajoutant un indice de stress hydrique. Ceci permet de montrer que le stress hydrique fait baisser la croissance et augmenter la mortalité, tandis que l'exploitation a l'effet inverse. Malgré le signal commun, différentes réponses sont observées selon les espèces. Le modèle a ensuite été appliqué à la communauté en forêt naturelle pour identifier les drivers climatiques et les processus impactés. Il ressort que la croissance est impactée par le stress hydrique et la température, et que la mortalité est impactée par le stress hydrique et la pluviométrie totale.Ces résultats ont enfin permis de construire un modèle complet de dynamique forestière climat dépendant, et de simuler l'évolution d'une communauté pendant un siècle selon différents scénarios correspondant aux prédictions du GIEC. Les simulations mettent en évidence une très forte diminution de la croissance, ainsi qu'une plus faible diminution de la mortalité. Ceci entraine une diminution notable de la surface terrière, du diamètre quadratique et de la biomasse fraiche. Une analyse de sensibilité montre que ces changements sont principalement dus à l'augmentation sévère des températures prédites pour le siècle à venir. Des pistes de réflexion sur les enjeux de modélisation et les échelles considérées sont proposées en discussion de ce travail.
In 2013 the intergovernmental panel on climate change (ipcc) publishes its fifth report. This report underlines that an increase of temperature and a strengthening of drought and extreme rainfall are expected in tropical regions. This work was made in this context of climate changes, and aimed to study the response of the rainforest to predicted climate changes. To do this, i used the data from the study site of Paracou French Guiana to build an individual based dynamics model based on the functional traits of trees. This model was first applied to species with a commercial interest in French Guiana, in natural and logged forest and adding a water stress index as predictor. Water stress decreases growth and increases mortality, while logging had the opposite effect. The model was then applied to the community in natural forest for identifying potential climate drivers and impacted processes. Growth is impacted by the water stress and temperature and mortality is imp acted by the water stress and the total rainfall. These results allowed us to build a climate dependent model of forest dynamics and to run simulations of the evolution of a community under different scenarios for the next century. Simulations showed a decrease of growth and a small decrease of mortality. This resulted in a substantial decrease of basal area, squared diameter and fresh biomass.

http://www.theses.fr/2014AGUY0802/document

Éditeur(s) : HAL CCSD
Résumé : International audience
Many countries are legally obliged to embrace ecosystem-based approaches to fisheries management. Reductions in bycatch and physical habitat damage are now commonplace, but mitigating more sophisticated impacts associated with the ecological functions of target fisheries species are in their infancy. Here we model the impacts of a parrotfish fishery on the future state and resilience of Caribbean coral reefs, enabling us to view the tradeoff between harvest and ecosystem health. We find that the implementation of a simple and enforceable size restriction of >30 cm provides a win:win outcome in the short term, delivering both ecological and fisheries benefits and leading to increased yield and greater coral recovery rate for a given harvest rate. However, maintaining resilient coral reefs even until 2030 requires the addition of harvest limitations (<10% of virgin fishable biomass) to cope with a changing climate and induced coral disturbances, even in reefs that are relatively healthy today. Managing parrotfish is not a panacea for protecting coral reefs but can play a role in sustaining the health of reefs and high-quality habitat for reef fisheries.
http://hal.univ-reunion.fr/hal-01369752

hal-01369752
http://hal.univ-reunion.fr/hal-01369752
DOI : 10.1073/pnas.1601529113

Éditeur(s) : HAL CCSD Public Library of Science
Résumé : Climate models predict a range of changes in tropical forest regions, including increased average temperatures, decreased total precipitation, reduced soil moisture and alterations in seasonal climate variations. These changes are directly related to the increase in anthropogenic greenhouse gas concentrations, primarily CO2. Assessing seasonal forest growth responses to climate is of utmost importance because woody tissues, produced by photosynthesis from atmospheric CO2, water and light, constitute the main component of carbon sequestration in the forest ecosystem. In this paper, we combine intra-annual tree growth measurements from published tree growth data and the corresponding monthly climate data for 25 pan-tropical forest sites. This meta-analysis is designed to find the shared climate drivers of tree growth and their relative importance across pan-tropical forests in order to improve carbon uptake models in a global change context. Tree growth reveals significant intra-annual seasonality at seasonally dry sites or in wet tropical forests. Of the overall variation in tree growth, 28.7% was explained by the site effect, i.e. the tree growth average per site. The best predictive model included four climate variables: precipitation, solar radiation (estimated with extrasolar radiation reaching the atmosphere), temperature amplitude and relative soil water content. This model explained more than 50% of the tree growth variations across tropical forests. Precipitation and solar radiation are the main seasonal drivers of tree growth, causing 19.8% and 16.3% of the tree growth variations. Both have a significant positive association with tree growth. These findings suggest that forest productivity due to tropical tree growth will be reduced in the future if climate extremes, such as droughts, become more frequent.
ISSN: 1932-6203

hal-01268529
https://hal.archives-ouvertes.fr/hal-01268529
https://hal.archives-ouvertes.fr/hal-01268529/document
https://hal.archives-ouvertes.fr/hal-01268529/file/journal.pone.0092337.PDF
DOI : 10.1371/journal.pone.0092337