Space-for-time substitution in geomorphologyA critical review and conceptual framework

被引:0
|
作者
Xiaoli Huang
Guoan Tang
Tongxin Zhu
Hu Ding
Jiaming Na
机构
[1] Ministry of Education,Key Laboratory of Virtual Geographic Environment
[2] Nanjing Normal University,Department of Geography and Philosophy
[3] State Key Laboratory Cultivation Base of Geographic Environment Evolution (Jiangsu Province),undefined
[4] Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,undefined
[5] University of Minnesota–Duluth,undefined
来源
Journal of Geographical Sciences | 2019年 / 29卷
关键词
geomorphology; geomorphic evolution; space-for-time substitution;
D O I
暂无
中图分类号
学科分类号
摘要
Geomorphic evolution often presents a spatial pattern of a “young to old” distribution under certain natural environmental conditions, whereby sampling the geomorphic types and characteristics in spatial sequence can provide evidence for the individual landform evolution and change. This so-called space-for-time substitution has been a methodology in geomorphologic research. This paper firstly introduced the basic concepts and background of the space-for-time substitution, then a full review has been conducted of recent research progress in geomorphic evolution based on the space-for-time substitution, such as fluvial landform, structural landform, estuarine landform and coastal landform. Finally, the basic principle of space-for-time substitution in geomorphology is developed. This review is intended to introduce the achievements of geomorphic evolution research using space-for-time substitution method and to point out the critical research needs to better understand and predict the geomorphic evolution in the future.
引用
收藏
页码:1670 / 1680
页数:10
相关论文
共 14 条
  • [1] Space-for-time substitution in geomorphology A critical review and conceptual framework
    Huang Xiaoli
    Tang Guoan
    Zhu Tongxin
    Ding Hu
    Na Jiaming
    JOURNAL OF GEOGRAPHICAL SCIENCES, 2019, 29 (10) : 1670 - 1680
  • [2] Space-for-time substitution leads to carbon emission overestimation in eutrophic lakes
    Zhou, Muchun
    Zhou, Chuanqiao
    Peng, Yu
    Jia, Ruoyu
    Zhao, Wenpeng
    Liang, Shuoyuan
    Xu, Xiaoguang
    Terada, Akihiko
    Wang, Guoxiang
    ENVIRONMENTAL RESEARCH, 2023, 219
  • [3] Space-for-time substitution and the evolution of a submarine canyon-channel system in a passive progradational margin
    Micallef, Aaron
    Ribo, Marta
    Canals, Miguel
    Puig, Pere
    Lastras, Galderic
    Tubau, Xavier
    GEOMORPHOLOGY, 2014, 221 : 34 - 50
  • [4] The principle of space-for-time substitution in predicting Picea spp. biomass change under climate shifts
    Usoltsev, Vladimir A.
    Merganicova, Katarina
    Konopka, Bohdan
    Tsepordey, Ivan S.
    CENTRAL EUROPEAN FORESTRY JOURNAL, 2022, 68 (03) : 174 - 189
  • [5] Space-for-time is not necessarily a substitution when monitoring the distribution of pelagic fishes in the San Francisco Bay-Delta
    Duarte, Adam
    Peterson, James T.
    ECOLOGY AND EVOLUTION, 2021, 11 (23): : 16727 - 16744
  • [6] Evapotranspiration sensitivity to air temperature across a snow-influenced watershed: Space-for-time substitution versus integrated watershed modeling
    Jepsen, S. M.
    Harmon, T. C.
    Ficklin, D. L.
    Molotch, N. P.
    Guan, B.
    JOURNAL OF HYDROLOGY, 2018, 556 : 645 - 659
  • [7] Testing space-for-time transferability of climate effects on occupancy and abundance
    Lovell, Rebecca S. L.
    Powney, Gary D.
    Botham, Marc S.
    Phillimore, Albert B.
    FUNCTIONAL ECOLOGY, 2025, : 1046 - 1060
  • [9] Space-for-time substitutions exaggerate urban bird-habitat ecological relationships
    Eyster, Harold N.
    Chan, Kai M. A.
    Fletcher, Morgan E.
    Beckage, Brian
    JOURNAL OF ANIMAL ECOLOGY, 2024, 93 (12) : 1854 - 1867
  • [10] Applying space-for-time substitution to infer the growth response to climate may lead to overestimation of tree maladaptation: Evidence from the North American White Spruce Network
    Wu, Fang
    Jiang, Yuan
    Zhao, Shoudong
    Wen, Yan
    Li, Wenqing
    Kang, Muyi
    GLOBAL CHANGE BIOLOGY, 2022, 28 (17) : 5172 - 5184