Linking palaeoenvironmental data and models to understand the past and to predict the future.
about
Reconstruction of fire regimes through integrated paleoecological proxy data and ecological modelingPollen-based quantitative reconstructions of Holocene regional vegetation cover (plant-functional types and land-cover types) in Europe suitable for climate modelling.Past and future evolution of Abies alba forests in Europe - comparison of a dynamic vegetation model with palaeo data and observations.Linking sediment-charcoal records and ecological modeling to understand causes of fire-regime change in boreal forests.Navigating the perfect storm: research strategies for socialecological systems in a rapidly evolving world.Geomorphic histories for river and catchment management.Experimental Simulation: Using Generative Modeling and Palaeoecological Data to Understand Human-Environment InteractionsExplaining fire-driven landscape transformation during the Initial Burning Period of New Zealand's prehistoryIndicator pollen taxa of human-induced and natural vegetation in Northern ChinaTwo hundred years of land-use change in the South Swedish Uplands: comparison of historical map-based estimates with a pollen-based reconstruction using the landscape reconstruction algorithmGlobal change revealed by palaeolimnological records from remote lakes: a reviewPaleoecology grand challengeAssessing degradation and recovery pathways in lakes impacted by eutrophication using the sediment recordThe past ecology ofAbies albaprovides new perspectives on future responses of silver fir forests to global warmingComparison of modeled and reconstructed changes in forest cover through the past 8000 yearsIncreasing the understanding and use of natural archives of ecosystem services, resilience and thresholds to improve policy, science and practiceRevisiting pollen accumulation rates from Swedish lake sediments
P2860
Q28651708-58C61466-0F48-4FB9-B036-C1AA5F2438BDQ30849396-7EDD0964-879D-4322-889C-C6334F451964Q30990487-A03EBF10-378C-41EA-B110-8CCF952628FFQ33495267-C6B1935D-0E33-4BE3-9731-8D8D426A0666Q39640721-F16150AD-2A24-4D0F-8F09-16A06DCF1DBBQ51388325-5D4356EB-67D3-4A03-A843-68150441B688Q57020596-55642D46-397B-4932-86D4-CB258396214FQ57270884-9063FE31-341D-407D-8FF7-C258BC3F86D2Q57675614-58A42F04-AE66-402C-8FCE-F81E698DFA2AQ57693505-7C9C8041-B949-44F4-9487-0F3B2AFE63B6Q57695240-BC181AF8-0907-460C-93A7-1E8D0832B679Q57898414-210EC1AA-C5A8-46BD-9184-D9E472DE9541Q57898887-2A3DDC78-9CA9-4341-A9F3-89DD0380518AQ58111261-2B6337F7-E5D5-4CCD-BC92-6B30A4E765C1Q58191221-F023C9FF-02C2-4D07-8C9C-714A34E39C68Q58314925-337E5A50-5E2D-48BF-ABF6-A4EBE4825171Q59297437-E2355742-7955-4D75-AA83-022BC2E352A6
P2860
Linking palaeoenvironmental data and models to understand the past and to predict the future.
description
2006 nî lūn-bûn
@nan
2006 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
name
Linking palaeoenvironmental da ...... ast and to predict the future.
@ast
Linking palaeoenvironmental da ...... ast and to predict the future.
@en
type
label
Linking palaeoenvironmental da ...... ast and to predict the future.
@ast
Linking palaeoenvironmental da ...... ast and to predict the future.
@en
prefLabel
Linking palaeoenvironmental da ...... ast and to predict the future.
@ast
Linking palaeoenvironmental da ...... ast and to predict the future.
@en
P2093
P1476
Linking palaeoenvironmental da ...... ast and to predict the future.
@en
P2093
John A Dearing
Marie-José Gaillard
N John Anderson
P304
P356
10.1016/J.TREE.2006.09.005
P577
2006-09-26T00:00:00Z