Influence of Soil Moisture vs. Climatic Factors in Pinus Halepensis Growth Variability in Spain: A Study with Remote Sensing and Modeled Data

被引:9
|
作者
Gonzalez-Zamora, Angel [1 ]
Almendra-Martin, Laura [1 ]
de Luis, Martin [2 ]
Martinez-Fernandez, Jose [1 ]
机构
[1] Univ Salamanca, Inst Hispano Luso Invest Agr CIALE, Villamayor 37185, Spain
[2] Univ Zaragoza, Dept Geog & Spatial Planning IUCA, Zaragoza 50009, Spain
关键词
tree growth; Aleppo pine; soil moisture; climatic factors; INTRAANNUAL DENSITY-FLUCTUATIONS; IBERIAN PENINSULA; ADAPTIVE CAPACITY; WOOD STRUCTURE; RADIAL GROWTH; DROUGHT; PRECIPITATION; VULNERABILITY; DYNAMICS; FORESTS;
D O I
10.3390/rs13040757
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The influence of soil water content on Aleppo pine growth variability is analyzed against climatic variables, using satellite and modeled soil moisture databases. The study was made with a dendrochronological series of 22 forest sites in Spain with different environmental conditions. From the results of the correlation analysis, at both daily and monthly scales, it was observed that soil moisture was the variable that correlated the most with tree growth and the one that better identified the critical periods for this growth. The maximum correlation coefficients obtained with the rest of the variables were less than half of that obtained for soil moisture. Multiple linear regression analysis with all combinations of variables indicated that soil moisture was the most important variable, showing the lowest p-values in all cases. While identifying the role of soil moisture, it was noted that there was appreciable variability between the sites, and that this variability is mainly modulated by water availability, rather than thermal conditions. These results can contribute to new insights into the ecohydrological dynamics of Aleppo pine and a methodological approach to the study of many other species.
引用
收藏
页码:1 / 20
页数:20
相关论文
共 20 条
  • [1] Tracking tree growth through satellite soil moisture monitoring: A case study of Pinus halepensis in Spain
    Martinez-Fernandez, J.
    Almendra-Martin, L.
    de Luis, M.
    Gonzalez-Zamora, A.
    Herrero-Jimenez, C.
    [J]. REMOTE SENSING OF ENVIRONMENT, 2019, 235
  • [2] Modeled vs. SMOS L2 Soil Moisture in the Central Part of the Duero Basin (Spain)
    Gumuzzio, Angela
    Sanchez, Nilda
    Martinez-Fernandez, Jose
    [J]. ENGINEERING GEOLOGY FOR SOCIETY AND TERRITORY, VOL 3: RIVER BASINS, RESERVOIR SEDIMENTATION AND WATER RESOURCES, 2015, : 637 - 640
  • [3] A NOVEL APPROACH TO IMPROVE SPATIAL DETAIL IN MODELED SOIL MOISTURE THROUGH THE INTEGRATION OF REMOTE SENSING DATA
    Greifeneder, F.
    Notarnicola, C.
    Bertoldi, G.
    Brenner, J.
    Wagner, W.
    [J]. 2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, : 1988 - 1991
  • [4] Improving SMAP soil moisture spatial resolution in different climatic conditions using remote sensing data
    Fatemeh Imanpour
    Maryam Dehghani
    Mehran Yazdi
    [J]. Environmental Monitoring and Assessment, 2023, 195
  • [5] Improving SMAP soil moisture spatial resolution in different climatic conditions using remote sensing data
    Imanpour, Fatemeh
    Dehghani, Maryam
    Yazdi, Mehran
    [J]. ENVIRONMENTAL MONITORING AND ASSESSMENT, 2023, 195 (12)
  • [6] Study of Soil Moisture Remote Sensing Retrieval System Based on Interactive Data Language
    Wu Jing
    Li Chunbin
    Shen Zhengdong
    Liu Chunxiao
    Lian Ruie
    [J]. 2016 FIFTH INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS), 2016, : 354 - 358
  • [7] STUDY ON A SINGLE INTERPOLATION FUSION ALGORITHM FOR MULTISOURCE REMOTE SENSING DATA OF SOIL MOISTURE
    Yu, J. S.
    Chen, J. P.
    Li, X. J.
    Liu, Y. M.
    Yao, X. L.
    [J]. APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH, 2019, 17 (05): : 11605 - 11617
  • [8] Investigating the impact of leaf area index temporal variability on soil moisture predictions using remote sensing vegetation data
    Chen, Min
    Willgoose, Garry R.
    Saco, Patricia M.
    [J]. JOURNAL OF HYDROLOGY, 2015, 522 : 274 - 284
  • [9] STUDY ON THE SOIL MOISTURE CONTENT MODELLING AND DATA ASSIMILATION BASED ON REMOTE SENSING AND LAND SURFACE MODEL
    Zhu, He
    Huang, Shifeng
    Yang, Kun
    Ma, Jianwei
    Yang, Yongmin
    Sun, Yayong
    [J]. 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 7069 - 7072
  • [10] Study on Soil Moisture Status of Soybean and Corn across the Whole Growth Period Based on UAV Multimodal Remote Sensing
    Zhang, Yaling
    Yang, Xueyi
    Tian, Fei
    [J]. REMOTE SENSING, 2024, 16 (17)