{"product_id":"9781400885459","title":"Ecological Forecasting","description":"\u003cp\u003e\u003cb\u003eAn authoritative and accessible introduction to the concepts and tools needed to make ecology a more predictive science\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eEcologists 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? \u003ci\u003eEcological Forecasting\u003c\/i\u003e is the first book to bring together the concepts and tools needed to make ecology a more predictive science.\u003c\/p\u003e\u003cp\u003e\u003ci\u003eEcological Forecasting\u003c\/i\u003e 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.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eFeatures 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 \u003c\/li\u003e\n\u003cli\u003ePresents a probabilistic approach to prediction and iteratively updating forecasts based on new data\u003c\/li\u003e\n\u003cli\u003eDescribes statistical and informatics tools for bringing models and data together, with emphasis on: \u003cul\u003e\n\u003cli\u003eQuantifying and partitioning uncertainties\u003c\/li\u003e \u003cli\u003eDealing with the complexities of real-world data\u003c\/li\u003e  \u003cli\u003eFeedbacks to identifying data needs, improving models, and decision support\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003eNumerous hands-on activities in R available online\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Princeton University Press","offers":[{"title":"Default Title","offer_id":47137865564400,"sku":"9781400885459","price":65.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781400885459_p0.jpg?v=1763713238","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781400885459","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}