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6 results on '"Khabba, Saïd"'

1. Investigation of the diurnal cycles of interferometric coherence and backscattering coefficient on irrigated wheat in the South Mediterranean

Author

Ouaadi, Nadia, Villard, Ludovic, Khabba, Saïd, Frison, Pierre Louis, Chakir, Adnane, Ezzahar, Jamal, Fanise, Pascal, Kasbani, Mohamed, Le Dantec, Valérie, Jarlan, Lionel, Centre d'études spatiales de la biosphère (CESBIO), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Cadi Ayyad [Marrakech] (UCA), and Université Gustave Eiffel

Subjects
[PHYS]Physics [physics], [SDE]Environmental Sciences, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2022

2. Cereal Yield Forecasting with Satellite Drought-Based Indices, Weather Data and Regional Climate Indices Using Machine Learning in Morocco

Author

Bouras, El houssaine, Jarlan, Lionel, Er-Raki, Salah, Balaghi, Riad, Amazirh, Abdelhakim, Richard, Bastien, Khabba, Saïd, Université Cadi Ayyad [Marrakech] (UCA), Centre d'études spatiales de la biosphère (CESBIO), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut national de la recherche agronomique [Maroc] (INRA Maroc), Université Mohammed VI Polytechnique [Ben Guerir] (UM6P), Gestion de l'Eau, Acteurs, Usages (UMR G-EAU), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-AgroParisTech-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), ARTS program from IRD, France, H2020 PRIMA ALTOS project, MISTRALS/SICMED2, PHC Toubkal - 39064WG/2018, PRIMA-IDEWA project, CHAAMS project - ERANETMED03-62, ACCWA project - 823965, SAGESSE - PPR/2015/48, Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Mohammed VI Polytechnic University [Marocco] (UM6P), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-AgroParisTech-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)

Subjects
machine learning, Remote sensing drought indices, Science, [SDE]Environmental Sciences, Crop yield forecasting, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [INFO]Computer Science [cs], Climate indices, Semiarid region, weather data
Abstract

International audience; Accurate seasonal forecasting of cereal yields is an important decision support tool for countries, such as Morocco, that are not self-sufficient in order to predict, as early as possible, importation needs. This study aims to develop an early forecasting model of cereal yields (soft wheat, barley and durum wheat) at the scale of the agricultural province considering the 15 most productive over 2000–2017 (i.e., 15 × 18 = 270 yields values). To this objective, we built on previous works that showed a tight linkage between cereal yields and various datasets including weather data (rainfall and air temperature), regional climate indices (North Atlantic Oscillation in particular), and drought indices derived from satellite observations in different wavelengths. The combination of the latter three data sets is assessed to predict cereal yields using linear (Multiple Linear Regression, MLR) and non-linear (Support Vector Machine, SVM; Random Forest, RF, and eXtreme Gradient Boost, XGBoost) machine learning algorithms. The calibration of the algorithmic parameters of the different approaches are carried out using a 5-fold cross validation technique and a leave-one-out method is implemented for model validation. The statistical metrics of the models are first analyzed as a function of the input datasets that are used, and as a function of the lead times, from 4 months to 2 months before harvest. The results show that combining data from multiple sources outperformed models based on one dataset only. In addition, the satellite drought indices are a major source of information for cereal prediction when the forecasting is carried out close to harvest (2 months before), while weather data and, to a lesser extent, climate indices, are key variables for earlier predictions. The best models can accurately predict yield in January (4 months before harvest) with an R2 = 0.88 and RMSE around 0.22 t. ha−1. The XGBoost method exhibited the best metrics. Finally, training a specific model separately for each group of provinces, instead of one global model, improved the prediction performance by reducing the RMSE by 10% to 35% depending on the provinces. In conclusion, the results of this study pointed out that combining remote sensing drought indices with climate and weather variables using a machine learning technique is a promising approach for cereal yield forecasting.

Published
2021
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3. Irrigation Amounts and Timing Retrieval through Data Assimilation of Surface Soil Moisture into the FAO-56 Approach in the South Mediterranean Region

Author

Ouaadi, Nadia, Jarlan, Lionel, Khabba, Saïd, Ezzahar, Jamal, Le Page, Michel, Merlin, Olivier, Université Cadi Ayyad [Marrakech] (UCA), Centre d'études spatiales de la biosphère (CESBIO), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), and Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)

Subjects
FAO-56, Science, particle filters, irrigation timing and amounts, Sentinel-1, Irrigation Amounts and Timing Retrieval through Data Assimilation of Surface Soil Moisture irrigation timing and amounts, semi-arid Mediterranean region, [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, surface soil moisture, data assimilation, winter wheat
Abstract

International audience; Agricultural water use represents more than 70% of the world’s freshwater through irrigation water inputs that are poorly known at the field scale. Irrigation monitoring is thus an important issue for optimizing water use in particular with regards to the water scarcity that the semi-arid regions are already facing. In this context, the aim of this study is to develop and evaluate a new approach to predict seasonal to daily irrigation timing and amounts at the field scale. The method is based on surface soil moisture (SSM) data assimilated into a simple land surface (FAO-56) model through a particle filter technique based on an ensemble of irrigation scenarios. The approach is implemented in three steps. First, synthetic experiments are designed to assess the impact of the frequency of observation, the errors on SSM and the a priori constraints on the irrigation scenarios for different irrigation techniques (flooding and drip). In a second step, the method is evaluated using in situ SSM measurements with different revisit times (3, 6 and 12 days) to mimic the available SSM product derived from remote sensing observation. Finally, SSM estimates from Sentinel-1 are used. Data are collected on different wheat fields grown in Morocco, for both flood and drip irrigation techniques in addition to rainfed fields used for an indirect evaluation of the method performance. Using in situ data, accurate results are obtained. With an observation every 6 days to mimic the Sentinel-1 revisit time, the seasonal amounts are retrieved with R > 0.98, RMSE < 32 mm and bias < 2.5 mm. Likewise, a good agreement is observed at the daily scale for flood irrigation as more than 70% of the detected irrigation events have a time difference from actual irrigation events shorter than 4 days. Over the drip irrigated fields, the statistical metrics are R = 0.74, RMSE = 24.8 mm and bias = 2.3 mm for irrigation amounts cumulated over 15 days. When using SSM products derived from Sentinel-1 data, the statistical metrics on 15-day cumulated amounts slightly dropped to R = 0.64, RMSE = 28.7 mm and bias = 1.9 mm. The metrics on the seasonal amount retrievals are close to assimilating in situ observations with R = 0.99, RMSE = 33.5 mm and bias = −18.8 mm. Finally, among four rainfed seasons, only one false event was detected. This study opens perspectives for the regional retrieval of irrigation amounts and timing at the field scale and for mapping irrigated/non irrigated areas

Published
2021
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4. L'eau en milieu agricole

Author

Alcazar, Charlotte, Allain, Sandrine, Augeard, Bénédicte, Baillieux, Antoine, Ballot, Rémy, Barataud, Fabienne, Barone, Sylvain, Barreteau, Olivier, Bergez, Jacques-Éric, Bertuzzi, Patrick, Biarnès, Anne, Bonifazi, Mathilde, Bourrié, Guilhem, Bousquet, François, Chanzy, André, Chery, Jean-Pierre, Cognard-Plank, Anne-Laure, Coudercy, Laurent, Courault, Dominique, Cousin, Isabelle, Debril, Thomas, Destandau, François, Durand, Patrick, Echeverria, Javier, Étienne, Michel, Ferrand, Nils, Ferrané, Claudine, Garcia, Serge, Garin, Patrice, Gaudin, Alexandre, Gillon, Marina, Guichard, Laurence, Hassenforder, Émeline, Huard, Frédéric, Jarlan, Lionel, Jeuffroy, Marie-Hélène, Khabba, Saïd, Leenhardt, Delphine, Le Page, Christophe, Le Page, Michel, Magand, Claire, Meynard, Jean-Marc, Mignolet, Catherine, Millair, Laurent, Molénat, Jérôme, Murgue, Clément, Olioso, Albert, Petit, Olivier, Prost, Lorène, Reau, Raymond, Richer-de-Forges, Anne C., Rivière-Honegger, Anne, Ruy, Stéphane, Souchère, Véronique, Therond, Olivier, Thomas, Alban, Thoyer, Sophie, Trolard, Fabienne, Voltz, Marc, Leenhardt, Delphine, Voltz, Marc, and Barreteau, Olivier

Subjects
eau douce, Economics, Environmental Studies, pisciculture, santé, écosystème
Abstract

L’eau est un enjeu majeur dans de nombreuses régions du monde du fait de besoins en forte croissance, mais aussi de la rareté et de la dégradation des ressources disponibles. L’agriculture étant le premier usager de la ressource en eau, la durabilité de la gestion de l’eau en milieu rural est cruciale. Elle nécessite de dépasser les approches sectorielles, encore largement en cours malgré divers courants appelant à une gestion intégrée, territoriale ou adaptative de la ressource. Prenant acte que la mise en œuvre des concepts proposés par ces différents courants est rarement effective et qu’il est plus pragmatique de rechercher la meilleure coordination possible entre les parties prenantes de la gestion de l’eau, cet ouvrage collectif analyse les enjeux, outils et démarches permettant de faciliter et d’accompagner cette coordination. En effet, une coordination effective et acceptée nécessite des méthodes et outils pour informer sur l’état de la ressource et des usages, rendre visible l’importance des enjeux, évaluer les effets et les expliquer, structurer les échanges, et élaborer et discuter des actions de gestion. L’ouvrage aborde la gestion de l’eau en milieu rural en termes d’objectifs et de démarche, puis fait un panorama large des outils, des méthodes et des données actuellement disponibles. Enfin, il décrit des exemples de mises en œuvre dans différents cas d’étude. Cet ouvrage de synthèse s’adresse à un public large allant des chercheurs, étudiants et enseignants en gestion de l’eau aux professionnels concernés par sa mise en œuvre.

Published
2021

5. Sub-chapter 2.3.2. Water resources in South Mediterranean catchments

Author

Jarlan, Lionel, Khabba, Saïd, Szczypta, Camille, Lili-Chabaane, Zohra, Driouech, Fatima, Page, Michel Le, Hanich, Lahoucine, Fakir, Younes, Boone, Aaron, and Boulet, Gilles

Abstract

Climate change Positive trends in mean temperatures and a decrease in the number and amplitude of cold outbreaks have already affected all North African countries (Driouech et al., 2013). A global data set of near-surface meteorological variables was used to assess the long-term changes in temperature and precipitation in North Africa in the 20th century (Szczypta et al. in prep). The analysis revealed a significant increase (0.9 °C) in mean temperature between 1900 and 2010 (Figure 1). The i...

Published
2018

6. The Mediterranean region under climate change

Author

A. Osman, Mona, Aboul-Naga, Adel, Adallal, Rachid, Aderghal, Mohamed, Afif, Charbel, Alary, Véronique, Alifriqui, Mohamed, Alkama, Rezak, Alleaume, Samuel, Alpert, Pinhas, Ancona, Carla, Annabi, Mohamed, Annesi-Maesano, Isabella, Anquetin, Sandrine, Ardilouze, Constantin, Auclair, Laurent, Aumeeruddy-Thomas, Yildiz, Azuara, Julien, B. Nicolas, José, Badri, Wadi, Bailly, Alicia, Baldy, Virginie, Bard, Edouard, Barouki, Robert, Barre, Philippe, Bassetti, Maria-Angela, Batté, Lauriane, Baudoin, Ezekiel, Beekmann, Matthias, Belhimer, Ammar, Benaïssa, Fatima, Benedetti, Fabio, Benjelloun, Badr, Benkaddour, Abdel, Ben Rais Lasram, Frida, Bergametti, Gilles, Berger, Jean-François, Bernoux, Martial, Beveren, Elisabeth Van, Bissonnais, Yves Le, Blanchet, Juliette, Blanfuné, Aurélie, Boissard, Christophe, Bonnet, Pascal, Boone, Aaron, Borbon, Agnès, Borga, Marco, Boudevillain, Brice, Bouet, Christel, Boulet, Gilles, Bounouara, Zohra, Bou Dagher, Magda, Brahim, Nadhem, Bras, Jean-Philippe, Braud, Isabelle, Briche, Elodie, Brousseau, Pierre, Cardinael, Rémi, Carozza, Jean-Michel, Carozza, Laurent, Cavicchia, Leone, Chapron, Emmanuel, Charef, Mohamed, Charki, Abderafi, Chenu, Claire, Chevallier, Tiphaine, Chiraz, Belhadj Kheder, Chotte, Jean-Luc, Colette, Augustin, Coll, Marta, Combourieu-Nebout, Nathalie, Coppola, Erika, Costes, Evelyne, Cournac, Laurent, Courp, Thierry, Cozannet, Gonéri Le, Cramer, Wolfgang, Creutin, Jean-Dominique, Dahech, Salem, Dakhlaoui, Hamouda, Daoud, Ibrahim, Darmaraki, Sofia, Darras, Sabine, Dayan, Uri, Débevec, Cécile, Delon, Claire, Delrieu, Guy, Déqué, Michel, Derridj, Arezki, Desboeufs, Karine, Dezileau, Laurent, Diakakis, Michalis, Di Sarra, Alcide, Dollé, Vincent, Doraï, Kamel, Dounias, Edmond, Douvinet, Johnny, Driouech, Fatima, Drobinski, Philippe, Ducrocq, Véronique, Dulac, François, Duponnois, Robin, Dupret, Baudouin, Durand, Pierre, Dusanter, Sébastien, D’Anna, Barbara, Elyazami, Driss, El Mehdi Saidi, Mohamed, Fady, Bruno, Fakir, Younes, Farah, Wehbeh, Fehri, Noômène, Fernandez, Catherine, Fischer, Claude, Flaounas, Emmanouil, Forastiere, Francesco, Formenti, Paola, Forslund, Agneta, Fourrié, Nadia, François Boudouresque, Charles, Galiana, Antoine, Gallali, Tahar, Garcia, Marta, Gaume, Eric, Gauquelin, Thierry, Geniez, Philippe, Genin, Didier, Genty, Dominique, Ghilardi, Matthieu, Gourley, Jonathan, Gros, Valérie, Gualdi, Silvio, Guégan, Jean-François, Guilhaumon, François, Guiot, Joël, Hachicha, Mohamed, Haddouch, Hassan, Hafidi, Mohamed, Haité, Hakima El, Halouani, Ghassen, Hamdi, Salwa, Hamdi-Aissa, Baelhadj, Hamonou, Eric, Hanich, Lahoucine, Harzallah, Ali, Hattab, Tarek, Hebert, Bertil, Himbert, Marc, Hmimsa, Younes, Hochman, Assaf, Hugot, Laetitia, Jalali, Bassem, Jambert, Corinne, Jarlan, Lionel, Javelle, Pierre, Joffre, Richard, Jorda, Gabriel, Jouve, Guillaume, Kallel, Nejib, Kallida, Rajae, Kathra, Nabil Ben, Khabba, Saïd, Khadari, Bouchaib, Khatteli, Houcine, Kotroni, Vassilki, Kuzucuoglu, Catherine, Labiadh, Mohamed, Lacroix, Denis, Lang, Michel, Lasram, Frida Ben Rais, Lasseur, Jacques, Lathière, Juliette, Laurent, Benoît, Leduc, Christian, Legave, Jean-Michel, Leriche, Maud, Lespez, Laurent, Le Loc’H, François, Li, Laurent, Lili-Chabaane, Zohra, Limousin, Jean-Marc, Lionello, Piero, Liousse, Catherine, Llasat, Maria Carmen, Locoge, Nadine, Loc’H, François Le, Loireau, Maud, Longepierre, Damien, Lutoff, Céline, Mailler, Sylvain, Malinowski, Dariusz, Mallet, Marc, Manceron, Stéphane, Maouche, Said, Marchi, Lorenzo, Marcos, Marta, Martin, Eric, Martin, Luc, Martin, Nicolas, Marty, Pascal, Marty, Pauline, Massuel, Sylvain, Médail, Frédéric, Mekki, Insaf, Mellas, Samira, Menad, Wahiba, Menut, Laurent, Michon, Geneviève, Michoud, Vincent, Mihalopoulos, Nikolaos, Moatti, Jean-Paul, Mohamed Zaghloul, Alaa, Molénat, Jérôme, Molinié, Gilles, Monier, Marie, Montagna, Paulo, Montoroi, Jean-Pierre, Morillon, Raphaël, Mouaqit, Mohamed, Mouël, Chantal Le, Mouillot, Florent, Moukhli, Abdelmajid, Moullec, Fabien, Mrad Nakhlé, Myriam, Munoz, François, Nabat, Pierre, Nasrallah, Wafa, Neppel, Luc, Norton, Mark, Ouahmane, Lahcen, Ouelhazi, Bahri, Öztürk, Fatma, Page, Michel Le, Payrastre, Olivier, Planton, Serge, Podwojewski, Pascal, Pradel, Roger, Prévot, Laurent, Prin, Yves, Pulido Bosch, Antonio, Quintana-Seguí, Pere, Raclot, Damien, Raimbault, Patrick, Rajot, Jean-Louis, Ramadan Ali, Rafat, Rambal, Serge, Regnard, Jean-Luc, Remini, Boualem, Renard, Jean-Baptiste, Rhaz, Khalid EL, Rhoujjati, Ali, Ricaud, Philippe, Richard, Franck, Ruelland, Denis, Ruin, Isabelle, Sabir, Mohamed, Saint-Martin, Clotilde, Salah, Ehab, Salameh, Thérèse, Sánchez, Enrique, Sanguin, Hervé, Saraux, Claire, Sartelet, Karine, Satta, Alessio, Sauvage, Stéphane, Schatz, Bertrand, Schmitt, Bertrand, Sciare, Jean, Scolobig, Anna, Sellegri, Karine, Shin, Yunne-Jai, Sicard, Michaël, Sicre, Marie-Alexandrine, Silva, Anne Da, Simenel, Romain, Simmoneau, Anaëlle, Slimani, Said, Snoussi, Maria, Solmon, Fabien, Somot, Samuel, Sonzogni, Corinne, Soussana, Jean-François, Stafoggia, Massimo, Sylvestre, Florence, Szczypta, Camille, Tachikawa, Kazuyo, Taschen, Elisa, Thibaut, Thierry, Thibon, Maxime, Thiébault, Stéphanie, Torquebiau, Emmanuel, Tramblay, Yves, Valentin, Christian, Vallet-Coulomb, Christine, Vanniere, Boris, Vennetier, Michel, Verlaque, Marc, Vicente-Serrano, Sergio, Vidal, Jean-Philippe, Vidal, Laurence, Vinet, Freddy, Viry, Elisabeth, Vogt-Schilb, Hélène, Volaire, Florence, Voltz, Marc, Waked, Antoine, Wattrelot, Eric, Yazami, Driss El, Zaher, Hayat, Zappa, Massimiliano, Zbinden, Régina, Zitouna-Chebbi, Rim, Zribi, Mehrez, Moatti, Jean-Paul, and Thiébault, Stéphane

Subjects
Méditerranée, Allenvi, changement climatique, climatic change, RNK, Environmental Studies, COP22, Mediterranean, NAT011000
Abstract

This book has been published by Allenvi (French National Alliance for Environmental Research) to coincide with the 22nd Conference of Parties to the United Nations Framework Convention on Climate Change (COP22) in Marrakesh. It is the outcome of work by academic researchers on both sides of the Mediterranean and provides a remarkable scientific review of the mechanisms of climate change and its impacts on the environment, the economy, health and Mediterranean societies. It will also be valuable in developing responses that draw on “scientific evidence” to address the issues of adaptation, resource conservation, solutions and risk prevention. Reflecting the full complexity of the Mediterranean environment, the book is a major scientific contribution to the climate issue, where various scientific considerations converge to break down the boundaries between disciplines.

Published
2018

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