Ecological forecasting

Ecologists are being asked to respond to unprecedented environmental challenges. How can they provide the best available scientific information about what will happen in the future? Ecological Forecasting is the first book to bring together the concepts and tools needed to make ecology a more predic...

Disgrifiad llawn

Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Prif Awdur: Dietze, Michael C.
Fformat: Livre numérique
Iaith:Anglais
Cyhoeddwyd: Princeton, NJ : Princeton University Press [2017].
Mynediad Ar-lein:Accès Université d'Orléans et IFPM
Accès INSA CVL
Nodyn: Description based on online resource; title from PDF title page (publisher's Web site, viewed May. 17, 2017)
La pagination de l'édition imprimée correspondante est de 284 p.
Cyberlibris (ScholarVox) corpus Sciences de l'ingénieur
Cyberlibris (ScholarVox) corpus Sciences de l'ingénieur
Autres localisations: Voir dans le Sudoc
LEADER 02937nam a22002537a 4500
001 1392099
008 170619q2017 xx|||||| |||| 00| 0 eng d
009 PPN201994046
020 |a 9781400885459 
041 0 |a eng 
100 1 |a Dietze, Michael C. 
245 1 0 |a Ecological forecasting   |c Michael C. Dietze. 
256 |a Données textuelles 
260 |a Princeton, NJ :  |b Princeton University Press,  |c [2017]. 
500 |a Description based on online resource; title from PDF title page (publisher's Web site, viewed May. 17, 2017) 
500 |a La pagination de l'édition imprimée correspondante est de 284 p. 
500 |a Cyberlibris (ScholarVox) corpus Sciences de l'ingénieur 
500 |a Cyberlibris (ScholarVox) corpus Sciences de l'ingénieur 
506 |a L'accès complet à la ressource est réservé aux usagers des établissements qui en ont fait l'acquisition 
520 |a Ecologists are being asked to respond to unprecedented environmental challenges. How can they provide the best available scientific information about what will happen in the future? Ecological Forecasting is the first book to bring together the concepts and tools needed to make ecology a more predictive science.Ecological Forecasting presents a new way of doing ecology. A closer connection between data and models can help us to project our current understanding of ecological processes into new places and times. This accessible and comprehensive book covers a wealth of topics, including Bayesian calibration and the complexities of real-world data; uncertainty quantification, partitioning, propagation, and analysis; feedbacks from models to measurements; state-space models and data fusion; iterative forecasting and the forecast cycle; and decision support.Features case studies that highlight the advances and opportunities in forecasting across a range of ecological subdisciplines, such as epidemiology, fisheries, endangered species, biodiversity, and the carbon cycle Presents a probabilistic approach to prediction and iteratively updating forecasts based on new dataDescribes statistical and informatics tools for bringing models and data together, with emphasis on:Quantifying and partitioning uncertaintiesDealing with the complexities of real-world dataFeedbacks to identifying data needs, improving models, and decision supportNumerous hands-on activities in R available online 
538 |a Nécessite un navigateur et un lecteur de fichier PDF 
856 4 |5 452349901:873459873  |u https://ezproxy.univ-orleans.fr/login?qurl=https://univ.scholarvox.com/book/88849597  |z Accès Université d'Orléans et IFPM 
856 4 |5 180339901:873560213  |u https://ezproxy.insa-cvl.fr/login?qurl=https://univ.scholarvox.com/book/88849597  |z Accès INSA CVL 
997 |0 1392099  |1 Livre numérique  |a Ressource numérique  |b INSA  |b ENSA  |c 0/Bibliothèque numérique/  |c 1/Bibliothèque numérique/ScholarVox (ebooks)/  |c 1/Bibliothèque numérique/ScholarVox (ebooks)/