Éditeur(s) : HAL CCSD Presses Universitaires du Septentrion
Résumé : aménagement durable des territoires; biodiversité; réseau écologique; corridor écologique; gouvernance adaptative; socio-écosystème; trame verte et bleue
La Trame verte et bleue (TVB), nouveau dispositif d'action publique visant à enrayer la perte de biodiversité traduit un renouvellement des référentiels de justification des politiques de conservation et de leur stratégie territoriale. Il s'agit d'intégrer la planification écologique dans l'aménagement de l'ensemble du territoire. Le processus de territorialisation de la TVB met en rapport de multiples niveaux de décision et d'action imbriqués. Il crée de ce fait des configurations inédites de complexité et d'incertitude et implique des innovations en termes de gouvernance que le cadre analytique de la gouvernance adaptative permet d'appréhender. En nous appuyant sur l'exemple du Parc Naturel Régional des Volcans d'Auvergne, nous analysons le rôle que ces institutions sont susceptibles de jouer dans ces dynamiques de changement et d'apprentissage socio-technique et politique qui conditionnent une mise en œuvre effective de la TVB.
Développement durable et territoire, Nouvelle édition originale

ISBN : 978-2-7574-0157-6
hal-00979599
https://hal-agroparistech.archives-ouvertes.fr/hal-00979599

Éditeur(s) : HAL CCSD EDP Sciences
Résumé : S'inscrivant dans une perspective institutionnaliste, notre article porte sur l'analyse des modes de coordination entre acteurs locaux en vue d'une gestion durable des ressources naturelles. En mobilisant les apports de l'économie de la proximité, nous mettons en lumière la manière dont les dynamiques de relations sociales peuvent être activées pour favoriser des pratiques de gestion durable des ressources naturelles. Plus largement, à partir d'une réflexion générale sur les institutions de gestion commune des ressources naturelles et le rôle que jouent sur elles les catégories de la proximité, nous proposons les éléments d'une formalisation de la robustesse des systèmes sociaux écologiques. Nous analysons sous quelles conditions un degré élevé de proximité peut favoriser ou, au contraire, nuire à la pérennité d'un système écologique et social. Notre propos est illustré par un cas d'étude concret : le site Natura 2000 du Mont-Bar (petit territoire forestier auvergnat).
ISSN: 1240-1307

hal-00982722
https://hal-agroparistech.archives-ouvertes.fr/hal-00982722
https://hal-agroparistech.archives-ouvertes.fr/hal-00982722/document
https://hal-agroparistech.archives-ouvertes.fr/hal-00982722/file/2009_NSS_AngeonCaron.pdf
DOI : 10.1051/nss/2009065

Éditeur(s) : HAL CCSD Wiley
Résumé : Hydraulic habitat models based on the preferences of species for the hydraulic characteristics of their microhabitats are frequently used to evaluate the impact on the habitat of a change in river flow regime. Their application in a tropical insular environment is still limited as little is known about the hydraulic preferences of species. Hydraulic preference models have been developed for 15 taxa (diadromous shrimps and fishes) sampled in 52 rivers in the Caribbean (the French West Indies) and the Indian Ocean (the Reunion island). Five datasets were used and group 8353 samples collected by electrofishing during 320 surveys (reach date) performed between 1999 and 2011. Generalized additive models were used to link variations of taxa density within surveys to the hydraulic characteristics of the microhabitat (velocity, depth and substrate). Hydraulic preferences within each region (Caribbean and Indian Ocean) are significant for most of the taxa and vary little between rivers and surveys. The hydraulic variables explain up to 18.1% (univariate models) and 30.0% (multivariate models) of the deviance of densities within survey. Of the taxa selected, Atya scabra, Macrobrachium heterochirus, Xiphocaris elongata and the Sicydiinae are the most demanding.
ISSN: 1535-1459

hal-01072479
https://hal.archives-ouvertes.fr/hal-01072479
https://hal.archives-ouvertes.fr/hal-01072479/document
https://hal.archives-ouvertes.fr/hal-01072479/file/ly2014-pub00038946.pdf
DOI : 10.1002/rra.2675

Éditeur(s) : HAL CCSD
Résumé : CIRAD, Montpellier, Perspective
In the Brazilian Amazon, degraded forests dominate the landscapes on the agricultural frontiers. This region is now facing a major challenge: halting degradation and sustainably managing these forests. Today, degraded forests represent a class of forest in their own right. They can nevertheless play a key role in combating climate change, and can also help to improve the ecological functioning of the different territories. Implementing public policies with the twin objectives of reducing degradation and promoting these forests implies strong support from research. In this Perspective, we focus on four research priorities: developing methods to characterise and monitor degraded forests; drafting specific forest management plans; understanding the role played by all social actors; and supporting policies at the territorial level.
En Amazonie brésilienne, les forêts dégradées dominent les paysages des fronts pionniers. Un grand défi attend désormais cette région : stopper la dégradation et gérer durablement ces forêts. Les forêts dégradées représentent aujourd’hui une catégorie de forêt à part entière. Elles peuvent néanmoins jouer un rôle majeur pour lutter contre le changement climatique. Elles peuvent aussi contribuer à un meilleur fonctionnement écologique des territoires. Développer des politiques publiques visant le double objectif de réduire la dégradation et de valoriser ces forêts implique un appui fort de la recherche. Dans ce Perspective, nous mettons l’accent sur quatre priorités de recherche : développer des méthodes de caractérisation et de suivi des forêts dégradées, élaborer des plans d’aménagement spécifiques, comprendre le rôle joué par tous les acteurs sociaux et accompagner les politiques à l’échelle territoriale.
Na Amazônia brasileira, as florestas degradadas dominam as paisagens das frentes pioneiras. Atualmente, esta região enfrenta um grande desafio: parar a degradação e fazer a gestão sustentável dessas florestas. As florestas degradadas são atualmente parte integrante de uma categoria de florestas. No entanto, elas podem desempenhar um papel importante na luta contra as mudanças climáticas e podem contribuir para um melhor funcionamento ecológico dos territórios. Desenvolver políticas públicas com o duplo objetivo de reduzir a degradação e melhorar a condição dessas florestas implica um forte apoio da pesquisa. Neste Perspective, nós focalizamos em quatro prioridades de pesquisa: desenvolver os métodos de caracterização e monitoramento das florestas degradadas, elaborar planos específicos de ordenamento do território, compreender o papel desempenhado por todos os atores sociais e acompanhar as politicas em escala territorial.
https://hal.archives-ouvertes.fr/hal-01537653

Droits : http://creativecommons.org/licenses/by-nc-sa/
hal-01537653
https://hal.archives-ouvertes.fr/hal-01537653
https://hal.archives-ouvertes.fr/hal-01537653/document
https://hal.archives-ouvertes.fr/hal-01537653/file/Persp40_LBLanc%20FR.pdf
https://hal.archives-ouvertes.fr/hal-01537653/file/Persp40_LBLanc%20PORT.pdf

Éditeur(s) : HAL CCSD
Global change adaptation: impacts of governance schemes on biodiversity and landscape
Clermont-Ferrand, France

hal-01531315
https://hal-agroparistech.archives-ouvertes.fr/hal-01531315

Éditeur(s) : HAL CCSD
Résumé : 16 p.
National audience
The objective of this paper is to present an approach for experimenting territorial prospective analysis based on spatial modelling. This approach is carried out in the framework of the DESCARTES project which aims at developing a spatial simulation tool to support the design and analysis of different scenarios for land-use allocation in Reunion Island in terms of environmental services. The spatial modelling tool is composed of two complementary applications: (i) the Ocelet modelling language and its land dynamics simulation environment, and (ii) the Margouill@ platform. The first demonstrator, a model of farm land consumption by urbanization, was developed and presented during workshops in order to test the role of the spatial simulation tool in support of a collaborative innovation process among stakeholders, and to foster new research on social learning, spatial simulation of environmental services, and scale change issues.
L'objectif de cet article est de présenter une démarche de construction d'un exercice de prospective territoriale basé sur un outil de modélisation spatiale. Cette démarche est mise en œuvre dans le cadre du projet ANR DESCARTES dont l'objectif est de construire un outil de simulation cartographique pour analyser différents scénarios d'affectation de l'usage des sols à l'Ile de La Réunion, en termes de services environnementaux. La plateforme de simulation cartographique est composée de deux applications complémentaires (i) le langage de modélisation Ocelet et son environnement de simulation de paysages dynamiques, et (ii) la plateforme Margouill@. Le développement puis la présentation, en atelier, d'un premier démonstrateur sur la consommation des terres agricoles par l'urbanisation a permis de tester l'outil cartographique comme support d'un processus d'innovation collective entre les parties prenantes, et d'ouvrir de nouveaux champs de recherche sur l'analyse de la démarche par les apprentissages, la spatialisation et la simulation prospective des services écosystémiques, et la prise en compte du changement d'échelle.
Acte de la Conférence Internationale de Géomatique et d'Analyse Spatiale
Brest, France

cirad-00850243
http://hal.cirad.fr/cirad-00850243
http://hal.cirad.fr/cirad-00850243/document
http://hal.cirad.fr/cirad-00850243/file/SAGEO-Brest2013-version_finale.pdf

Éditeur(s) : HAL CCSD
Résumé : International audience
F.T. Kützing introduced Cocconeis molesta with only an uninformative description and a poor illustration: C. molesta has small, oblong valves and is an epiphyte. Another species, Cocconeis diaphana, described by William Smith, is said to have larger valves than C. molesta, with frustules that are relatively oblong. Smith described two forms: one with a distinct fascia on its raphe valve (var. β), the other without this feature. A third species, Cocconeis dirupta was described by Gregory, who expressed doubts that it differed from C. diaphana. Finally, Cocconeis molesta var. crucifera Grunow was first introduced in Van Heurck's Atlas but was subsequently treated by Van Heurck as a synonym of C. molesta. No previous account has examined the type material of these species. In this paper, we undertake that task and examine type slides and raw material in order to discriminate these different taxa. We conclude by recognizing three species: Cocconeis molesta Kütz., C. diaphana W.Sm. and C. dirupta W.Greg. Cocconeis diaphana var. β is considered to be a synonym of C. dirupta and C. molesta var. crucifera is considered to be a synonym of C. molesta. Lectotypes are designated for C. diaphana and C. dirupta.
ISSN: 2118-9773

Droits : http://creativecommons.org/licenses/by/
hal-01340453
https://hal-univ-perp.archives-ouvertes.fr/hal-01340453
https://hal-univ-perp.archives-ouvertes.fr/hal-01340453/document
https://hal-univ-perp.archives-ouvertes.fr/hal-01340453/file/329-1709-1-PB.pdf
DOI : 10.5852/ejt.2016.204

Éditeur(s) : HAL CCSD Météo et Climat
Résumé : International audience
Les risques hydrométéorologiques sont au coeur du programme de recherche HyMeX sur le cycle de l'eau en Méditerranée. HyMeX a pour ambition d'améliorer leur prévision, de mieux connaître leur variabilité à l'échelle pluriannuelle et de renseigner sur leur évolution, dans le contexte du changement climatique. À cette fin, deux campagnes de mesures dédiées à ces événements extrêmes (SOP1 : pluies intenses et crues rapides ; SOP2 : vents forts et formation d'eaux denses) sont organisées en Méditerranée nord-occidentale, entre septembre 2012 et mars 2013.
ISSN: 0026-1181

hal-00829760
https://hal.archives-ouvertes.fr/hal-00829760
DOI : 10.4267/2042/48793

Éditeur(s) : HAL CCSD MDPI
Résumé : International audience
LiDAR (Light Detection And Ranging) remote sensing has been shown to be a good technique for the estimation of forest parameters such as canopy heights and above ground biomass. Whilst airborne LiDAR data are in general very dense but only available over small areas due to the cost of their acquisition, spaceborne LiDAR data acquired from the Geoscience Laser Altimeter System (GLAS) have a coarser acquisition density associated with a global cover. It is therefore valuable to analyze the integration relevance of canopy heights estimated from LiDAR sensors with ancillary data such as geological, meteorological, and phenological variables in order to propose a forest canopy height map with good precision and high spatial resolution.In this study, canopy heights extracted from both airborne and spaceborne LiDAR, were first extrapolated from available environmental data (e.g. geology, slope, vegetation indices, etc.). The estimated canopy height maps using random forest (RF) regression from the airborne or GLAS calibration datasets showed similar precisions (RMSE better than 6.5 m). In order to improve the precision of the canopy height estimates regression-kriging (kriging of random forest regression residuals) was used. Results indicated an improvement in the RMSE (decrease from 6.5 to 4.2 m) for the regression-kriging maps from the GLAS dataset, and from 5.8 to 1.8 m for the regression-kriging map from the airborne LiDAR dataset. Finally, in order to investigate the impact of the spatial sampling of future LiDAR missions on the precision of canopy height estimates, six subsets were derived from the initial airborne LiDAR dataset with flight line spacing of 5, 10, 20, 30, 40 and 50 km (corresponding to 0.29, 0.11, 0.08, 0.05, 0.04, and 0.03 points/km² respectively). Results indicated that using the regression-kriging approach achieved a precision of 1.8 m on the canopy height map with flight line spacing of 5 km and achieved an average RMSE of 4.8m for the configuration for the 50 km flight line spacing.
ISSN: 2072-4292

hal-01361343
https://hal.archives-ouvertes.fr/hal-01361343
https://hal.archives-ouvertes.fr/hal-01361343/document
https://hal.archives-ouvertes.fr/hal-01361343/file/mt2016-pub00048036.pdf
DOI : 10.3390/rs8030240

Éditeur(s) : HAL CCSD Pôle de Recherche pour l'Organisation et la diffusion de l'Information Géographique
Résumé : International audience
The Amazon has recently experienced a dramatic decline in deforestation coupled with economic development. However, this process is uneven. While large and medium-sized producers are intensifying and diversifying their production systems in the already cleared areas, thus apparently abandoning expansion strategies at the moment, family farming remains aloof from this decoupling between production and deforestation. In this article, the commitments of public authorities and sectors, their effects on deforestation and inequalities of adaptation are analyzed at the scale of the Legal Amazon and in a municipality considered as a model because involved in a Município Verde initiative: Paragominas, in the Eastern Amazon.
L’Amazonie a amorcé depuis quelques années une baisse de la déforestation couplée à un développement économique. Le processus est cependant inégal. Si les grands et moyens producteurs font évoluer leurs systèmes de production vers l’intensification et la diversification dans les espaces déjà ouverts, délaissant en apparence les stratégies d’expansion, l’agriculture familiale reste à l’écart du découplage entre production et déforestation. Dans cet article, les engagements des pouvoirs publics et des filières, leurs effets en matière de déforestation et les inégalités d’adaptation sont analysés à l’échelle de l’Amazonie Légale et à celle d’une municipalité considérée comme un modèle car à l’initiative d’une démarche de Município Verde : Paragominas, en Amazonie orientale.
ISSN: 1963-1197

halshs-01609039
https://halshs.archives-ouvertes.fr/halshs-01609039
DOI : 10.4000/echogeo.15035

Éditeur(s) : HAL CCSD BMJ Publishing Group
Résumé : International audience
OBJECTIVE:To identify local meteorological drivers of dengue fever in French Guiana, we applied an original data mining method to the available epidemiological and climatic data. Through this work, we also assessed the contribution of the data mining method to the understanding of factors associated with the dissemination of infectious diseases and their spatiotemporal spread.METHODS:We applied contextual sequential pattern extraction techniques to epidemiological and meteorological data to identify the most significant climatic factors for dengue fever, and we investigated the relevance of the extracted patterns for the early warning of dengue outbreaks in French Guiana.RESULTS:The maximum temperature, minimum relative humidity, global brilliance, and cumulative rainfall were identified as determinants of dengue outbreaks, and the precise intervals of their values and variations were quantified according to the epidemiologic context. The strongest significant correlations were observed between dengue incidence and meteorological drivers after a 4-6-week lag.DISCUSSION:We demonstrated the use of contextual sequential patterns to better understand the determinants of the spatiotemporal spread of dengue fever in French Guiana. Future work should integrate additional variables and explore the notion of neighborhood for extracting sequential patterns.CONCLUSIONS:Dengue fever remains a major public health issue in French Guiana. The development of new methods to identify such specific characteristics becomes crucial in order to better understand and control spatiotemporal transmission.Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
ISSN: 1067-5027

lirmm-01379072
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01379072
DOI : 10.1136/amiajnl-2013-002348
PUBMED : 24549761

Éditeur(s) : HAL CCSD
Résumé : absent
50. colloque de l'ASRDLF
Mons, Belgium

hal-01019548
https://hal.archives-ouvertes.fr/hal-01019548

Éditeur(s) : HAL CCSD Springer International Publishing
Résumé : Industrial agriculture has clearly reached its limits. Industrial agriculture is not able anymore to satisfy the basic needs of the growing worldwide population while ensuring the conditions of reproduction of natural assets. New production models have to be designed to protect and reclame polluted and degraded agricultural areas. Agroecology is considered as a promising way to achieve ecologically-intensive agrosystems, since the seminal contribution of Altieri in 1995. Nevertheless agroecology has not fully emerged as a scientific discipline yet. Agroecology is more that a traditional scientific discipline because agroecology breaks the frontiers between biophysical sciences and social sciences. This chapter reviews the roots and evolution of agroecology in the first section. Here we propose a mathematical theory of viability to handle uncertainty and complexity within agrosystems. This theory allows to define a kern of viability in which the agrosystem stay viable in the long term (section “Scientific stakes: New frontiers”). However, agroecological innovations create new uncertainties and controversies that must be solved. Some solutions can be found individually while other solutions must by co-constructed using innovative collective actions and hydrid forums (Callon et al. 2001, section “Scientific controversy and uncertainty”). Such collective knowledge makes agroecology as the starting point of a representative democracy by setting up adaptive governance on territories (section “How to manage agrosystems in the context of global changes?”).
Sustainable Agriculture Reviews 14

ISBN : 978-3-319-06015-6
hal-01195372
https://hal.archives-ouvertes.fr/hal-01195372
DOI : 10.1007/978-3-319-06016-3_1
PRODINRA : 270790

Éditeur(s) : HAL CCSD
Résumé : IGARSS 2015, Milan, ITA, 26-/07/2015 - 31/07/2015
International audience
LiDAR remote sensing has been shown to be a good technique for the estimation of forest parameters such as canopy heights and aboveground biomass. Whilst airborne LiDAR data are in general very dense but only available over small areas due to the cost of their acquisition, spaceborne LiDAR data acquired from the Geoscience Laser Altimeter System (GLAS) have a coarser acquisition density associated with a global cover. It is therefore valuable to analyze the integration relevance of canopy heights estimated from LiDAR sensors with ancillary data such as geological, meteorological, and phenological variables in order to propose a forest canopy height map with good precision and high spatial resolution.In this study, canopy heights extracted from both airborne and spaceborne LiDAR, were first extrapolated from available environmental data. The estimated canopy height maps using random forest (RF) regression from the airborne or GLAS calibration datasets showed similar precisions (RMSE better than 6.5 m). In order to improve the precision of the canopy height estimates regression-kriging (kriging of RF regression residuals) was used. Results indicated an improvement in the RMSE (decrease from 6.5 to 4.2 m) for the regression-kriging maps from the GLAS dataset, and from 5.8 to 1.8 m for the regression-kriging map from the airborne LiDAR dataset.
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
Milan, Italy

hal-01244677
https://hal.archives-ouvertes.fr/hal-01244677
https://hal.archives-ouvertes.fr/hal-01244677/document
https://hal.archives-ouvertes.fr/hal-01244677/file/mt2015-pub00044297.pdf
DOI : 10.1109/IGARSS.2015.7326729

Éditeur(s) : HAL CCSD L'Harmattan
https://hal-agroparistech.archives-ouvertes.fr/hal-01543079

hal-01543079
https://hal-agroparistech.archives-ouvertes.fr/hal-01543079

Éditeur(s) : HAL CCSD
Résumé : International audience
Recent studies have shown that accounting for intraspecific trait variation (ITV) may better address major questions in community ecology. However, a general picture of the relative extent of ITV compared to interspecific trait variation in plant communities is still missing. Here, weconducted a meta-analysis of the relative extent of ITV within and among plant communities worldwide, using a data set encompassing 629 communities (plots) and 36 functional traits. Overall, ITV accounted for 25% of the total trait variation within communities and 32% of the totaltrait variation among communities on average. The relative extent of ITV tended to be greater for whole-plant (e.g. plant height) vs. organ-level traits and for leaf chemical (e.g. leaf N and P concentration) vs. leaf morphological (e.g. leaf area and thickness) traits. The relative amount of ITV decreased with increasing species richness and spatial extent, but did not vary with plant growth form or climate. These results highlight global patterns in the relative importance of ITV in plant communities, providing practical guidelines for when researchers should include ITV in trait-based community and ecosystem studies.
Ecology Letters

hal-01237101
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01237101
DOI : 10.1111/ele.12508
PUBMED : 26415616

Éditeur(s) : HAL CCSD L'Harmattan
https://hal-agroparistech.archives-ouvertes.fr/hal-01543077

hal-01543077
https://hal-agroparistech.archives-ouvertes.fr/hal-01543077

Éditeur(s) : HAL CCSD SciTePress
Résumé : International audience
Data integration and knowledge capitalization combine data and information coming from different data sources designed by different experts having different purposes. In this paper, we propose to assist the underlying model merging activity. For close models made by experts of various specialities, we partially automate the identification of a Greatest Common Model (GCM) which is composed of the common concepts (core concepts) of the different models. Our methodology is based on Formal Concept Analysis which is a method of data analysis based on lattice theory. A decision tree allows to semi-automatically classify concepts from the concept lattices and assist the GCM extraction. We apply our approach on the EIS-Pesticide project, an environmental information system which aims at centralizing knowledge and information produced by different specialized teams.
ICEIS 2012: 14th International Conference on Enterprise Information Systems
Wroclaw, Poland

lirmm-00727009
https://hal-lirmm.ccsd.cnrs.fr/lirmm-00727009

Éditeur(s) : HAL CCSD Elsevier
Résumé : International audience
Mapping forest aboveground biomass (AGB) has become an important task, particularly for the reporting of carbon stocks and changes. AGB can be mapped using synthetic aperture radar data (SAR) or passive optical data. However, these data are insensitive to high AGB levels (>150 Mg/ha, and >300 Mg/ha for P-band), which are commonly found in tropical forests. Studies have mapped the rough variations in AGB by combining optical and environmental data at regional and global scales. Nevertheless, these maps cannot represent local variations in AGB in tropical forests. In this paper, we hypothesize that the problem of misrepresenting local variations in AGB and AGB estimation with good precision occurs because of both methodological limits (signal saturation or dilution bias) and a lack of adequate calibration data in this range of AGB values. We test this hypothesis by developing a calibrated regression model to predict variations in high AGB values (mean >300 Mg/ha) in French Guiana by a methodological approach for spatial extrapolation with data from the optical geoscience laser altimeter system (GLAS), forest inventories, radar, optics, and environmental variables for spatial inter-and extrapolation. Given their higher point count, GLAS data allow a wider coverage of AGB values. We find that the metrics from GLAS footprints are correlated with field AGB estimations (R 2 =0.54, RMSE=48.3 Mg/ha) with no bias for high values. First, predictive models, including remote-sensing, environmental variables and spatial correlation functions, allow us to obtain "wall-to-wall" AGB maps over French Guiana with an RMSE for the in situ AGB estimates of ~51 Mg/ha and R²=0.48 at a 1-km grid size. We conclude that a calibrated regression model based on GLAS with dependent environmental data can produce good AGB predictions even for high AGB values if the calibration data fit the AGB range. We also demonstrate that small temporal and spatial mismatches between field data and GLAS footprints are not a problem for regional and global calibrated regression models because field data aim to predict large and deep tendencies in AGB variations from environmental gradients and do not aim to represent high but stochastic and temporally limited variations from forest dynamics. Thus, we advocate including a greater variety of data, even if less precise and shifted, to better represent high AGB values in global models and to improve the fitting of these models for high values.
ISSN: 0303-2434

Droits : http://creativecommons.org/licenses/by/
hal-01381116
https://hal.archives-ouvertes.fr/hal-01381116
https://hal.archives-ouvertes.fr/hal-01381116/document
https://hal.archives-ouvertes.fr/hal-01381116/file/Fayad2016a.pdf
DOI : 10.1016/j.jag.2016.07.015

Éditeur(s) : HAL CCSD L'Harmattan
Formation et apprentissage collectif territorial

hal-01542776
https://hal-agroparistech.archives-ouvertes.fr/hal-01542776