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...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Princeton, NJ
Princeton University Press
[2017]
© 2017 |
| Schlagworte: | |
| Online-Zugang: | DE-1043 DE-1046 DE-858 DE-859 DE-860 DE-91 DE-M49 DE-703 DE-739 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 Online-Ressource (x, 270 Seiten) |
| ISBN: | 9781400885459 |
| DOI: | 10.1515/9781400885459 |
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| discipline | Biologie Umwelt |
| doi_str_mv | 10.1515/9781400885459 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2025-02-19T17:25:56Z |
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| isbn | 9781400885459 |
| language | English |
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| spelling | Dietze, Michael C. 1976- Verfasser (DE-588)1135919372 aut Ecological forecasting Michael C. Dietze Princeton, NJ Princeton University Press [2017] © 2017 1 Online-Ressource (x, 270 Seiten) txt rdacontent c rdamedia cr rdacarrier 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 Ecology Forecasting Ecosystem health Forecasting Ökosystem (DE-588)4043216-6 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Änderung (DE-588)4128256-5 gnd rswk-swf Prognose (DE-588)4047390-9 gnd rswk-swf Ökosystem (DE-588)4043216-6 s Änderung (DE-588)4128256-5 s Prognose (DE-588)4047390-9 s Datenanalyse (DE-588)4123037-1 s 1\p DE-604 Erscheint auch als Druck-Ausgabe 978-0-691-16057-3 https://doi.org/10.1515/9781400885459 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Dietze, Michael C. 1976- Ecological forecasting Ecology Forecasting Ecosystem health Forecasting Ökosystem (DE-588)4043216-6 gnd Datenanalyse (DE-588)4123037-1 gnd Änderung (DE-588)4128256-5 gnd Prognose (DE-588)4047390-9 gnd |
| subject_GND | (DE-588)4043216-6 (DE-588)4123037-1 (DE-588)4128256-5 (DE-588)4047390-9 |
| title | Ecological forecasting |
| title_auth | Ecological forecasting |
| title_exact_search | Ecological forecasting |
| title_full | Ecological forecasting Michael C. Dietze |
| title_fullStr | Ecological forecasting Michael C. Dietze |
| title_full_unstemmed | Ecological forecasting Michael C. Dietze |
| title_short | Ecological forecasting |
| title_sort | ecological forecasting |
| topic | Ecology Forecasting Ecosystem health Forecasting Ökosystem (DE-588)4043216-6 gnd Datenanalyse (DE-588)4123037-1 gnd Änderung (DE-588)4128256-5 gnd Prognose (DE-588)4047390-9 gnd |
| topic_facet | Ecology Forecasting Ecosystem health Forecasting Ökosystem Datenanalyse Änderung Prognose |
| url | https://doi.org/10.1515/9781400885459 |
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