Adaptation of plantations to drought events in arid and semi-arid regions: Evidence from tree resilience

被引:0
|
作者
Zhang, Xu [1 ]
Chen, Meng [1 ,2 ]
Shao, Taoying [3 ]
Zhang, Guangqi [4 ]
Duan, Qiuxiao [1 ]
Wang, Xiaochun [5 ]
Cao, Yang [1 ,6 ]
机构
[1] Northwest A&F Univ, Coll Forestry, Yangling 712100, Peoples R China
[2] Ctr Ecol Res & Forestry Applicat, Barcelona 08193, Spain
[3] Northwest A&F Univ, Coll Soil & Water Conservat Sci & Engn, Yangling 712100, Peoples R China
[4] Univ Lorraine, Ctr Rech Grand Est Nancy, SILVA, INRAE,AgroParisTech, F-54280 Champenoux, France
[5] Northeast Forestry Univ, Sch Ecol, Harbin 150040, Peoples R China
[6] Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling 712100, Peoples R China
关键词
Dendroecology; Drought; Forest plantations; Resistance; Recovery; LOESS PLATEAU; CARBON BALANCE; DOUGLAS-FIR; MORTALITY; SOIL; TEMPERATURE; MECHANISMS; FORESTS; DECLINE;
D O I
10.1016/j.foreco.2024.122437
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Increasing drought frequency and severity pose a significant risk to global forest plantations, particularly in arid and semi-arid regions. Developing drought-adaptive plantations is particularly important for vegetation restoration in the context of climate warming. Despite the importance of drought response and adaptation, systematic research on these aspects for major tree species remains limited. Here, we collected 467 tree ring cores from eight paired sites of Robinia pseudoacacia L. (a broad-leaved species) and Pinus tabulaeformis C. (a coniferous species) plantations across a typical semi-arid region of the Loess Plateau (LP) to discern the climate-growth patterns of both species using linear mixed models. We employed hypothesis testing to analyze the differences in tree resilience metrics, including drought resistance and recovery ability, and linear mixed models combined with partial least squares path analysis to clarify the driving factors of tree resilience between R. pseudoacacia and P. tabulaeformis. Our findings demonstrated that Palmer Drought Severity Indices is the key limiting climate factor, without spatial variation, on the growth of R. pseudoacacia and P. tabulaeformis, explaining 47.7 % and 69.8 % of the variables effect percentage, respectively. Compared to P. tabulaeformis, R. pseudoacacia is more limited by atmospheric drought stress and soil moisture, with 11.0 % and 17.9 % of the explained effect percentage, respectively. R. pseudoacacia exhibited lower drought resistance ability, evidenced by a lower resistance (the average value is 0.62) and a higher average growth reduction (0.20) than P. tabulaeformis (0.85 and 0.17, respectively). In contrast, R. pseudoacacia had higher drought recovery ability, evidenced by a higher recovery (the average value is 1.19), a shorter recovery period (1.0), and a faster average recovery rate (0.14), than P. tabulaeformis (1.07, 2.0, and 0.08, respectively). Importantly, all tree resilience metrics for both species exhibited spatial consistency across the LP. Tree characteristics had a stronger effect on drought resistance and recovery ability in R. pseudoacacia than in P. tabulaeformis. Soil properties improved R. pseudoacacia drought resistance ability and reduced its drought recovery ability, but had weaker effects on P. tabulaeformis. Additionally, tree size and age strongly influence tree resilience in R. pseudoacacia through preceding year tree growth of drought events and climate sensitivity. These findings underscore the complementary drought resilience of broad-leaved and coniferous species, emphasizing the necessity for adaptive plantations and diversified tree species plantations as a strategic response to the anticipated increase in drought frequency and severity in arid and semi-arid regions.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] Flood frequency estimation and uncertainty in arid/semi-arid regions
    Metzger, Asher
    Marra, Francesco
    Smith, James A.
    Morin, Efrat
    JOURNAL OF HYDROLOGY, 2020, 590 (590)
  • [42] Mapping of Cornfield Soil Salinity in Arid and Semi-Arid Regions
    Smanov, Zhassulan Maratuly
    Laiskhanov, Shakhislam Uzakbaevich
    Poshanov, Maksat Nurbaiuly
    Abikbayev, Yerzhan Rakhimkeldievich
    Duisekov, Saken Nurzhanuly
    Tulegenov, Yerdaulet Askarbekovich
    JOURNAL OF ECOLOGICAL ENGINEERING, 2023, 24 (01): : 146 - 158
  • [43] Adaptive assessment of small ruminants in arid and semi-arid regions
    Gurgel Morais Leite, Jacinara Hody
    Evangelista Facanha, Debora Andrea
    Delgado Bermejo, Juan Vicente
    Guilhermino, Magda Maria
    Bermejo, Luis Alberto
    SMALL RUMINANT RESEARCH, 2021, 203
  • [44] An investigation of drought magnitude trend during 1975-2005 in arid and semi-arid regions of Iran
    Dashtpagerdi, Mostafa Moradi
    Kousari, Mohammad Reza
    Vagharfard, Hassan
    Ghonchepour, Diba
    Hosseini, Mitra Esmaeilzadeh
    Ahani, Hossein
    ENVIRONMENTAL EARTH SCIENCES, 2015, 73 (03) : 1231 - 1244
  • [45] Parametric and Non-Parametric Trend of Drought in Arid and Semi-Arid Regions Using RDI Index
    Zarei, Abdol Rassoul
    Moghimi, Mohammad Mehdi
    Mahmoudi, Mohammad Reza
    WATER RESOURCES MANAGEMENT, 2016, 30 (14) : 5479 - 5500
  • [46] Variations in precipitation extremes in the arid and semi-arid regions of China
    Xu, Lu
    Zheng, Chaolei
    Ma, Yi
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2021, 41 (03) : 1542 - 1554
  • [47] The characteristics of ultraviolet radiation in arid and semi-arid regions of China
    Bo Hu
    Yue Si Wang
    Guang Ren Liu
    Journal of Atmospheric Chemistry, 2010, 67 : 141 - 155
  • [48] Evaluating Rainwater Harvesting Systems in Arid and Semi-Arid Regions
    Ammar, Ali Adham
    ProQuest Dissertations and Theses Global, 2017,
  • [49] IMPROVEMENT OF PLANT MATERIAL FOR REVEGETATION OF ARID AND SEMI-ARID REGIONS
    SCHECHTER, J
    GEOGRAPHICAL JOURNAL, 1978, 144 (NOV): : 406 - 406
  • [50] Sustainable Strategy to Boost Legumes Growth under Salinity and Drought Stress in Semi-Arid and Arid Regions
    Ben Gaied, Roukaya
    Brigido, Clarisse
    Sbissi, Imed
    Tarhouni, Mohamed
    SOIL SYSTEMS, 2024, 8 (03)