Matches in SemOpenAlex for { <https://semopenalex.org/work/W1991570452> ?p ?o ?g. }
- W1991570452 endingPage "29" @default.
- W1991570452 startingPage "17" @default.
- W1991570452 abstract "Pollen-climate transfer methods are reviewed from a Bayesian perspective and with a special focus on the formulation of uncertainties. This approach is motivated by recent developments of spatial multi-proxy Bayesian hierarchical models (BHM), which allow synthesizing local reconstructions from different proxies for a spatially complete picture of past climate. In order to enhance the pollen realism in these models we try to bridge the gap between spatial statistics and paleoclimatology and show how far classical pollen-climate transfer concepts such as regression methods, mutual climatic range, modern analogues, plant functional types, and biomes can be understood in novel ways by refining the data models used in BHMs. As a case study, we discuss modeling of uncertainty by introducing a new probabilistic pollen ratio model, which is a simplified variation of the modern analogue technique (MAT) including the concept of response surfaces and designed for later inclusion in a spatial multiproxy BHM. Applications to fossil pollen data from varved sediments in three nearby lakes in west-central Wisconsin, USA and for a Holocene fossil pollen record from southern California, USA provide local climate reconstructions of summer temperature for the past millennium and the Holocene respectively. The performance of the probabilistic model is generally similar in comparison to MAT-derived reconstructions using the same data. Furthermore, the combination of co-location and precise dating for the three fossil sites in Wisconsin allows us to study the issue of site-specific uncertainty and to test the assumption of ergodicity in a real-world example. A multivariate ensemble kernel dressing approach derived from the post-processing of climate simulations reveals that the overall interpretation based on the individual reconstructions remains essentially unchanged, but the single-site reconstructions underestimate the overall uncertainty." @default.
- W1991570452 created "2016-06-24" @default.
- W1991570452 creator A5079764039 @default.
- W1991570452 creator A5085601547 @default.
- W1991570452 date "2012-01-01" @default.
- W1991570452 modified "2023-09-27" @default.
- W1991570452 title "Review of probabilistic pollen-climate transfer methods" @default.
- W1991570452 cites W1497544065 @default.
- W1991570452 cites W1660201747 @default.
- W1991570452 cites W1974839057 @default.
- W1991570452 cites W1977595786 @default.
- W1991570452 cites W1985201273 @default.
- W1991570452 cites W1989836954 @default.
- W1991570452 cites W1991727646 @default.
- W1991570452 cites W1992238964 @default.
- W1991570452 cites W1993825612 @default.
- W1991570452 cites W1994229986 @default.
- W1991570452 cites W1996311534 @default.
- W1991570452 cites W1997780726 @default.
- W1991570452 cites W1999712743 @default.
- W1991570452 cites W2003326514 @default.
- W1991570452 cites W2003501861 @default.
- W1991570452 cites W2004022682 @default.
- W1991570452 cites W2005739986 @default.
- W1991570452 cites W2006307570 @default.
- W1991570452 cites W2010010545 @default.
- W1991570452 cites W2010530988 @default.
- W1991570452 cites W2011832962 @default.
- W1991570452 cites W2018971111 @default.
- W1991570452 cites W2024921707 @default.
- W1991570452 cites W2026603628 @default.
- W1991570452 cites W2029821466 @default.
- W1991570452 cites W2034144235 @default.
- W1991570452 cites W2034504626 @default.
- W1991570452 cites W2038044053 @default.
- W1991570452 cites W2038856649 @default.
- W1991570452 cites W2040709045 @default.
- W1991570452 cites W2055642381 @default.
- W1991570452 cites W2058293915 @default.
- W1991570452 cites W2058364716 @default.
- W1991570452 cites W2070257026 @default.
- W1991570452 cites W2076595496 @default.
- W1991570452 cites W2076889395 @default.
- W1991570452 cites W2080418441 @default.
- W1991570452 cites W2082666350 @default.
- W1991570452 cites W2086075858 @default.
- W1991570452 cites W2093186833 @default.
- W1991570452 cites W2095422895 @default.
- W1991570452 cites W2095845042 @default.
- W1991570452 cites W2096654418 @default.
- W1991570452 cites W2098084624 @default.
- W1991570452 cites W2099358694 @default.
- W1991570452 cites W2099992946 @default.
- W1991570452 cites W2100055302 @default.
- W1991570452 cites W2103983252 @default.
- W1991570452 cites W2105942117 @default.
- W1991570452 cites W2108531121 @default.
- W1991570452 cites W2122046874 @default.
- W1991570452 cites W2131532072 @default.
- W1991570452 cites W2132604204 @default.
- W1991570452 cites W2136503477 @default.
- W1991570452 cites W2140918461 @default.
- W1991570452 cites W2142967805 @default.
- W1991570452 cites W2144673831 @default.
- W1991570452 cites W2146174528 @default.
- W1991570452 cites W2150352749 @default.
- W1991570452 cites W2151746416 @default.
- W1991570452 cites W2154200145 @default.
- W1991570452 cites W2154230014 @default.
- W1991570452 cites W2167959389 @default.
- W1991570452 cites W2168517632 @default.
- W1991570452 cites W2168646979 @default.
- W1991570452 cites W2182526330 @default.
- W1991570452 cites W2293957909 @default.
- W1991570452 cites W2811158433 @default.
- W1991570452 cites W4241575977 @default.
- W1991570452 cites W4243450122 @default.
- W1991570452 cites W4249900816 @default.
- W1991570452 cites W66803916 @default.
- W1991570452 doi "https://doi.org/10.1016/j.quascirev.2011.11.002" @default.
- W1991570452 hasPublicationYear "2012" @default.
- W1991570452 type Work @default.
- W1991570452 sameAs 1991570452 @default.
- W1991570452 citedByCount "40" @default.
- W1991570452 countsByYear W19915704522012 @default.
- W1991570452 countsByYear W19915704522013 @default.
- W1991570452 countsByYear W19915704522014 @default.
- W1991570452 countsByYear W19915704522015 @default.
- W1991570452 countsByYear W19915704522016 @default.
- W1991570452 countsByYear W19915704522017 @default.
- W1991570452 countsByYear W19915704522018 @default.
- W1991570452 countsByYear W19915704522019 @default.
- W1991570452 countsByYear W19915704522020 @default.
- W1991570452 countsByYear W19915704522021 @default.
- W1991570452 countsByYear W19915704522022 @default.
- W1991570452 countsByYear W19915704522023 @default.
- W1991570452 crossrefType "journal-article" @default.
- W1991570452 hasAuthorship W1991570452A5079764039 @default.