Reconstructing prehistoric land use change from archeological data: Validation and application of a new model in Yiluo valley, northern China
Reconstructing prehistoric land use change from archeological data: Validation and application of a new model in Yiluo valley, northern China
复制标题
从考古数据重建史前土地利用变化：中国北方伊洛河谷新模型的验证和应用
DOI：
10.1016/j.agee.2012.05.013
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发表时间：
2012-08
期刊：
影响因子：
--
通讯作者：
Finke, Peter A.
中科院分区：
文献类型：
--
作者：
Yu, Yanyan;Guo, Zhengtang;Wu, Haibin;Finke, Peter A.
估算全新世的土地利用是了解前工业化时期人类活动对气候变化影响的关键。由于数据的缺乏，重建史前土地利用的数量和空间分布仍然是一个关键问题。大多数重建只是简单地推断人口，人均清理土地数量和土地适合农业。在考古遗址半定量预测模型的基础上，建立了一个新的史前土地利用定量模型（PLUM）。PLUM由考古遗址的环境和社会参数驱动，这些参数是史前人类活动的客观证据，并产生现实的土地利用模式。在利用现代观测数据成功验证模型后，应用PLUM重建了中国北方最重要的农业起源地之一伊洛河谷8 ~ 4 ka BP的土地利用。结果表明，8 ~ 4ka B. P.，流域内约有2-9%的土地被人类活动利用，从沿着缓坡扩展到河谷中、下游的洼地。中全新世农业用地的增加对土地覆盖产生了影响。
Estimation of land use during the Holocene is crucial to understand impacts of human activity on climate change in preindustrial period. Until now it is still a key issue to reconstruct amount and spatial distribution of prehistoric land use due to lack of data. Most reconstructions are simply extrapolations of population, cleared land amount per person and land suitability for agriculture. In this study, a new quantitative prehistoric land use model (PLUM) is developed based on semi-quantitative predictive models of archeological sites. The PLUM is driven by environmental and social parameters of archeological sites, which are objective evidences of prehistoric human activity, and produces realistic patterns of land use. After successful validation of the model with modern observed data, the PLUM was applied to reconstruct land use from 8 to 4ka B.P. in Yiluo valley, one of the most important agriculture origin centers in northern China. Results reveal that about 2–9% of land area in the valley was used by human activity from 8 to 4ka B.P., expanding from gentle slopes along the river to hinterlands in middle and lower parts of the valley. The land cover was affected by increasing agricultural land use during the middle Holocene.
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影响因子：
25.2
作者：
W. Ruddiman
通讯作者：
W. Ruddiman
影响因子：
3.7
作者：
W. Broecker;J. Lynch‐Stieglitz;E. Clark;I. Hajdas;G. Bonani
通讯作者：
W. Broecker;J. Lynch‐Stieglitz;E. Clark;I. Hajdas;G. Bonani
影响因子：
64.8
作者：
Luethi, Dieter;Le Floch, Martine;Stocker, Thomas F.
通讯作者：
Stocker, Thomas F.
影响因子：
2.5
作者：
J. Olofsson;T. Hickler
通讯作者：
J. Olofsson;T. Hickler
DOI：
--
发表时间：
1985
期刊：
--
影响因子：
--
作者：
F. Street-Perrott
通讯作者：
F. Street-Perrott