Please wait a minute...
Journal of Arid Land  2020, Vol. 12 Issue (4): 640-652    DOI: 10.1007/s40333-020-0013-x     CSTR: 32276.14.s40333-020-0013-x
Research article     
Prioritizing woody species for the rehabilitation of arid lands in western Iran based on soil properties and carbon sequestration
BAZGIR Masoud1,*(), OMIDIPOUR Reza2, HEYDARI Mehdi3, ZAINALI Nasim3, HAMIDI Masoud1, C DEY Daniel4
1 Department of Water and Soil Engineering, Faculty of Agriculture, Ilam University, Ilam 6939177111, Iran
2 Department of Range and Watershed Management, Faculty of Natural Resource and Earth Science, Shahrekord University, Shahrekord 8818634141, Iran
3 Department of Forestry, Faculty of Agriculture, Ilam University, Ilam 6939177111, Iran
4 US Forest Service, Northern Research Station, Columbia, OM 65211, USA
Download: HTML     PDF(640KB)
Export: BibTeX | EndNote (RIS)      

Abstract  

Plants are an important component in many natural ecosystems. They influence soil properties, especially in arid ecosystems. The selection of plant species based on their adaptations to site conditions is essential for rehabilitation of degraded sites and other construction sites such as check-dams. Other factors to be considered in species selection include their effects on soil properties and their abilities to meet other management objectives. The purpose of this study was to assess the effects of native (Populus euphratica Oliv. and Tamarix ramosissima Ledeb.) and introduced (Eucalyptus camaldulensis Dehnh. and Prosopis juliflora (Swartz) DC.) woody species on soil properties and carbon sequestration (CS) in an arid region of Iran. Soil sampling was collected at three soil depths (0-10, 10-20 and 20-30 cm) at the sites located under each woody species canopy and in an open area in 2017. Soil physical-chemical property was analyzed in the laboratory. The presence of a woody species changed soil characteristics and soil CS, compared with the open area. For example, the presence of a woody species caused a decrease in soil bulk density, of which the lowest value was observed under E. camaldulensis (1.38 g/cm3) compared with the open area (1.59 g/cm3). Also, all woody species significantly increased the contents of soil organic matter and total nitrogen, and introduced species had more significant effect than native species. The results showed that CS significantly increased under the canopy of all woody species in a decreasing order of P. euphratica (9.08 t/hm2)>E. camaldulensis (8.37 t/hm2)>P. juliflora (5.20 t/hm2)>T. ramosissima (2.93 t/hm2)>open area (1.33 t/hm2), thus demonstrating the positive effect of a woody species on CS. Although the plantation of non-native species had some positive effects on soil properties, we recommend increasing species diversity in plantations of native and introduced woody species to provide more diversity for the increased ecosystem services, resilience, health and long-term productivity.



Key wordsarid ecosystem      carbon sequestration      degraded soil      restoration      reforestation      soil management     
Received: 02 September 2019      Published: 10 July 2020
Corresponding Authors:
About author: *Corresponding author: Masoud BAZGIR (E-mail: m.bazgir@ilam.ac.ir)
Cite this article:

Masoud BAZGIR, Reza OMIDIPOUR, Mehdi HEYDARI, Nasim ZAINALI, Masoud HAMIDI, Daniel C DEY. Prioritizing woody species for the rehabilitation of arid lands in western Iran based on soil properties and carbon sequestration. Journal of Arid Land, 2020, 12(4): 640-652.

URL:

http://jal.xjegi.com/10.1007/s40333-020-0013-x     OR     http://jal.xjegi.com/Y2020/V12/I4/640

Fig. 1 Location of the study area in Ilam Province, Iran
Fig. 2 Mean monthly precipitation and monthly mean temperature in the study area
DBH (cm) Canopy cover (m2) Height (m) Age (a) Woody species Forest type
15.4±0.8 12.6±1.3 4.0±0.4 25-27 P. juliflora Introduced species
13.5±0.5 5.1±1.4 9.7±0.7 25-27 E. camaldulensis
3.2±0.3 3.5±0.2 2.7±0.2 - T. ramosissima Native species
10.5±0.2 7.8±1.7 3.2±0.4 - P. euphratica
Table 1 Stand characteristics of woody species in the study area
Soil property Variable Species Depth Species×Depth
X2 P-value X2 P-value X2 P-value
Physical BD 16.70 0.0020 54.470 <0.0001 6.12 0.1910
n 16.42 0.0020 54.530 <0.0001 6.07 0.1930
SP 294.42 <0.0001 3.380 0.0657 1.41 0.8420
FC 126.08 <0.0001 6.240 0.0120 4.33 0.3620
PWP 74.15 <0.0001 2.770 0.0950 1.96 0.7460
Chemical pH 515.88 <0.0001 6.190 0.0120 20.50 <0.0001
EC 200.20 <0.0001 17.020 <0.0001 12.65 0.0130
OM 510.44 <0.0001 14.560 <0.0001 4.33 0.3620
TN 217.21 <0.0001 127.570 <0.0001 42.44 <0.0001
AP 6.48 0.1660 1.290 0.2560 6.90 0.1410
Ca 1365.01 <0.0001 1069.000 0.0010 9.80 0.0430
Mg 1232.08 <0.0001 6.270 0.0120 23.79 <0.0001
CEC 519.64 <0.0001 0.003 0.9520 8.50 0.0740
TDS 361.12 <0.0001 30.070 <0.0001 11.69 0.0190
CS 612.13 <0.0001 0.770 0.3800 2.64 0.6190
Table 2 Results from generalized linear mixed-effects (Chi-square values and P-values) model with a Poisson family distribution for the effects of species, depth and their interaction on soil properties
Fig. 3 Soil physical properties (a-e) under native (Tamarix ramosissima and Populus euphratica) and introduced (Eucalyptus camaldulensis and Prosopis juliflora) woody species and in the open area (control). Different lowercase letters indicate significant difference among different soil depths at P<0.05 level, and different uppercase letters indicate significant difference between woody species and the open area at P<0.05 level.
Fig. 4 Soil chemical properties (a-h) and carbon sequestration (CS, i) under native (Tamarix ramosissima and Populus euphratica) and introduced (Eucalyptus camaldulensis and Prosopis juliflora) woody species and in the open area (control). Different lowercase letters indicate significant difference among different soil depths at P<0.05 level, and different capital letters indicate significant differences between woody species and the open area at P<0.05 level. EC, electrical conductivity; OM, organic matter; TN, total nitrogen; Ca, exchangeable calcium; Mg, exchangeable magnesium; CEC, cation exchangeable capacity; TDS, total dissolved salts.
Treatment Independent variable Final model r R2 P-value
Control* - - - - -
E. camaldulensis FC -0.419(FC)+13.111 0.604 0.365 0.037
P. juliflora Mg, n -0.092(n)+9.4369 0.733 0.537 0.007
T. ramosissima* - - - - -
P. euphratica FC, SP 0.736(FC)-1.826 0.731 0.535 0.007
Overall data TN, Mg, TDS, CEC, PWP 69.149(TN)+2.282(TDS)-0.075(Mg)+0.506 0.918 0.842 0.000
Table 3 Results of multiple regressions between soil carbon sequestration and different physical and chemical soil properties in each treatment separately and for the combined data
Fig. 5 First two dimensions nonmetric multidimensional scaling (NMDS) ordinations based on the Bray-Curtis dissimilarity matrices of soil physical and chemical properties. BD, bulk density; n, porosity; SP, saturation percentage; FC, filed capacity; EC, electrical conductivity; PWP, permanent wilting point; OM, organic matter; TN, total nitrogen; AP, available phosphorus; Ca, exchangeable calcium; Mg, exchangeable magnesium; CEC, cation exchangeable capacity; TDS, total dissolved salts; CS, carbon sequestration; Ta, T. ramosissima; Po, P. euphratica; Eu, E. camaldulensis; Pr, P. juliflora.
[1]   Arndt S K, Arampatsis C, Foetzki A, et al. 2004. Contrasting patterns of leaf solute accumulation and salt adaptation in four phreatophytic desert plants in a hyperarid desert with saline groundwater. Journal of Arid Environments, 59(2): 259-270.
doi: 10.1016/j.jaridenv.2004.01.017
[2]   Arriaga L, Maya Y. 2007. Spatial variability in decomposition rates in a desert scrub of northwestern Mexico. Plant Ecology, 189(2): 213-225.
doi: 10.1007/s11258-006-9178-4
[3]   Bardgett R. 2005. The Biology of Soil: A Community and Ecosystem Approach. Oxford: Oxford University Press, 119-138.
[4]   Bates D, Mächler M, Bolker B, et al. 2015. Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67: 1-48.
[5]   Binkley D, Fisher R F. 2012. Ecology and Management of Forest Soils. New York: John Wiley & Sons, 75-137.
[6]   Black G R, Hartge K H. 1986. Bulk density. In: Klute A. Method of Soil Analysis. Part I. Physical and Mineralogical Method of Soil Analysis. Part I. (2nd ed.) Agronomy Monograph No. 9 (Part 1). Madison: American Society of Agronomy Inc., 363-376.
[7]   Bremner J M, Mulvaney C S. 1982. Nitrogen—total. In: Page A L. Methods of Soil Analysis, Madison: American Society of Agronomy Inc., 595-624.
[8]   Brennan K E, Christie F J, York A. 2009. Global climate change and litter decomposition: more frequent fire slows decomposition and increases the functional importance of invertebrates. Global Change Biology, 15(12): 2958-2971.
doi: 10.1111/gcb.2009.15.issue-12
[9]   Bruckner M Z. 2012. Water and Soil Characterization, pH and Electrical Conductivity. Montana: Montana State University Bozeman, 15-36.
[10]   Carnol M, Bazgir M. 2013. Nutrient return to the forest floor through litter and throughfall under 7 forest species after conversion from Norway spruce. Forest Ecology and Management, 309: 66-75.
doi: 10.1016/j.foreco.2013.04.008
[11]   Chang C, Sommerfeldt T G, Carefoot J M, et al. 1983. Relationships of electrical conductivity with total dissolved salts and cation concentration of sulfate-dominant soil extracts. Canadian Journal of Soil Science, 63(1): 79-86.
doi: 10.4141/cjss83-008
[12]   Chen L F, He Z B, Zhu X, et al. 2016. Impacts of afforestation on plant diversity, soil properties, and soil organic carbon storage in a semi-arid grassland of northwestern China. Catena, 147: 300-307.
doi: 10.1016/j.catena.2016.07.009
[13]   Cornelissen J H, Grootemaat S, Verheijen LM, et al. 2017. Are litter decomposition and fire linked through plant species traits? New Phytologist, 216(3): 653-669.
doi: 10.1111/nph.14766 pmid: 28892160
[14]   de Deyn G B, Cornelissen J H, Bardgett R D. 2008. Plant functional traits and soil carbon sequestration in contrasting biomes. Ecology Letters, 11(5): 516-531.
doi: 10.1111/j.1461-0248.2008.01164.x pmid: 18279352
[15]   Farley K A, Kelly E F, Hofstede R G. 2004. Soil organic carbon and water retention after conversion of grasslands to pine plantations in the Ecuadorian Andes. Ecosystems, 7(7): 729-739.
doi: 10.1007/s10021-004-0047-5
[16]   Frouz J, Livečková M, Albrechtová J, et al. 2013. Is the effect of trees on soil properties mediated by soil fauna? A case study from post-mining sites. Forest Ecology and Management, 309: 87-95.
doi: 10.1016/j.foreco.2013.02.013
[17]   Gaur M K, Squires V R. 2018. Geographic extent and characteristics of the world's arid zones and their peoples. In: Mahesh K G, Victor R S. Climate Variability Impacts on Land Use and Livelihoods in Drylands. Switzerland: Springer, 3-20.
[18]   Grünzweig J M, Lin T, Rotenberg E, et al. 2003. Carbon sequestration in arid-land forest. Global Change Biology, 9(5): 791-799.
doi: 10.1046/j.1365-2486.2003.00612.x
[19]   Habashi H, Moslehi M, Shabani E, et al. 2019. Chemical content and seasonal variation of throughfall and litterflow under individual trees in the Hyrcanian forests of Iran. Journal of Sustainable Forestry, 38(2): 183-197.
doi: 10.1080/10549811.2018.1554496
[20]   Hagen-Thorn A, Callesen I, Armolaitis K, et al. 2004. The impact of six European tree species on the chemistry of mineral topsoil in forest plantations on former agricultural land. Forest Ecology and Management, 195: 373-384.
doi: 10.1016/j.foreco.2004.02.036
[21]   Havlin J L, Tisdale S L, Nelson W L, et al. 2016. Soil Fertility and Fertilizers. Delhi: Pearson India Education, 215-245.
[22]   Hendershot, W H, Duquette M. 1986. Exchangeable cation and effective CEC by the BaCl2 method. In: Carter M R. Soil Sampling and Methods of Analysis. Canadian Society of Soil Science, Boca Raton, FL: CRC Press LLC, 168-170.
[23]   Heydari M, Prévosto B, Abdi T, et al. 2017. Establishment of oak seedlings in historically disturbed sites: Regeneration success as a function of stand structure and soil characteristics. Ecological Engineering, 107: 172-182.
doi: 10.1016/j.ecoleng.2017.07.016
[24]   Isichei A O, Muoghalu J I. 1992. The effects of tree canopy cover on soil fertility in a Nigerian savanna. Journal of Tropical Ecology, 8(3): 329-338.
doi: 10.1017/S0266467400006623
[25]   Kalinda C, Mburu D, Ngamau K, et al. 2015. Short term leguminous trees-tillage interactions and their effect on soil-water content in a semi-arid agroforestry parkland. Open Journal of Forestry, 5(7): 668-677.
doi: 10.4236/ojf.2015.57059
[26]   Klute A. 1986. Water retension laboratory methods. In: Page A L, Miller R H, Keeney D R. Method of Soil Analysis Part 1. Physical and Mineralogical Methods. Madison: American Society of Agronomy Inc., 635-662.
[27]   Kooch Y, Rostayee F, Hosseini S M. 2016. Effects of tree species on topsoil properties and nitrogen cycling in natural forest and tree plantations of northern Iran. Catena, 144: 65-73.
doi: 10.1016/j.catena.2016.05.002
[28]   Lal R. 2001. Potential of desertification control to sequester carbon and mitigate the greenhouse effect. Climatic Change, 51(1): 35-72.
doi: 10.1023/A:1017529816140
[29]   Lal R. 2004. Soil carbon sequestration impacts on global climate change and food security. Science, 304(5677): 1623-1627.
doi: 10.1126/science.1097396 pmid: 15192216
[30]   Lee K H, Jose S. 2005. Nitrate leaching in cottonwood and loblolly pine biomass plantations along a nitrogen fertilization gradient. Agriculture, Ecosystems & Environment, 105(4): 615-623.
[31]   Li P X, Wang N, He W M, et al. 2008. Fertile islands under Artemisia ordosica in inland dunes of northern China: effects of habitats and plant developmental stages. Journal of Arid Environments, 72(6): 953-963.
doi: 10.1016/j.jaridenv.2007.11.004
[32]   Ma Q, Fehmi J S, Zhang D, et al. 2017. Changes in wind erosion over a 25-year restoration chronosequence on the south edge of the Tengger Desert, China: implications for preventing desertification. Environmental Monitoring and Assessment, 189(9): 463.
doi: 10.1007/s10661-017-6183-0 pmid: 28836079
[33]   McCulloch C E, Neuhaus J M. 2005. Generalized linear mixed models. In: Peter A, Theodore C. Encyclopedia of Biostatistics. New York: John Wiley & Sons, 4.
[34]   Meiresonne L, Schrijver A D, Vos B D. 2006. Nutrient cycling in a poplar plantation (Populus trichocarpa×Populus deltoids 'Beaupré') on former agricultural land in northern Belgium. Canadian Journal of Forest Research, 37(1): 141-155.
doi: 10.1139/x06-205
[35]   Modarres R, da Silva V D P R. 2007. Rainfall trends in arid and semi-arid regions of Iran. Journal of Arid Environments, 70(2): 344-355.
doi: 10.1016/j.jaridenv.2006.12.024
[36]   Montero L L, Delitti W. 2017. Effects of Eucalyptus and Pinus forest management on soil organic carbon in Brazilian wooded savanna. In: Gopal S, Sumit C. Forest Biomass and Carbon. London: IntechOpen Limited, doi: 10.5772/intechopen.72684.
[37]   Nelson D W, Sommers L E. 1982. Total carbon, organic carbon and organic matter. In: Page A L. Methods of Soil Analysis: Part 3—Chemical Methods. Madison: Soil Science Society of America, 961-1010.
[38]   Nyssen J, Haile M, Naudts J, et al. 2009. Desertification? Northern Ethiopia re-photographed after 140 years. Science of the Total Environment, 407(8): 2749-2755.
doi: 10.1016/j.scitotenv.2008.12.016 pmid: 19155052
[39]   Obalum S E, Chibuike G U, Peth S, et al. 2017. Soil organic matter as sole indicator of soil degradation. Environmental Monitoring and Assessment, 189(4): 176.
doi: 10.1007/s10661-017-5881-y pmid: 28324279
[40]   Oksanen J, Blanchet F G, Kindt R, et al. 2018. Vegan: Community Ecology Package. [2019-01-17]. https://CRAN.R-project.org/package=vegan.
[41]   Olsen S R, Sommers L E. 1982. Phosphorus. In: Page A L. Methods of Soil Analysis. Part 2 (2nd ed.). Madison: American Society of Agronomy Inc., 403-431.
[42]   Pei Z, Eichenberg D, Bruelheide H, et al. 2016. Soil and tree species traits both shape soil microbial communities during early growth of Chinese subtropical forests. Soil Biology and Biochemistry, 96: 180-190.
[43]   Pérez-Bejarano A, Mataix-Solera J, Zornoza R, et al. 2010. Influence of plant species on physical, chemical and biological soil properties in a Mediterranean forest soil. European Journal of Forest Research, 129(1): 15-24.
[44]   Prescott C E. 2002. The influence of the forest canopy on nutrient cycling. Tree Physiology, 22(15-16): 1193-1200.
doi: 10.1093/treephys/22.15-16.1193 pmid: 12414379
[45]   Qin Z, Dunn J B, Kwon H, et al. 2016. Soil carbon sequestration and land use change associated with biofuel production: empirical evidence. GCB Bioenergy, 8(1): 66-80.
[46]   Quideau S A, Chadwick O A, Benesi A, et al. 2001. A direct link between forest vegetation type and soil organic matter composition. Geoderma, 104(1-2): 41-60.
[47]   R Core Team, 2018. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. [2019-05-21]. http://www.R-project.org/.
[48]   Reubens B, Moeremans C, Poesen J, et al. 2011. Tree species selection for land rehabilitation in Ethiopia: from fragmented knowledge to an integrated multi-criteria decision approach. Agroforestry Systems, 82(3): 303-330.
[49]   Romm J. 2011. Desertification: The next dust bowl. Nature, 478(7370): 450-451.
doi: 10.1038/478450a pmid: 22031419
[50]   Schenk H J, Jackson R B. 2002. Rooting depths, lateral root spreads and below‐ground/above‐ground allometries of plants in water‐limited ecosystems. Journal of Ecology, 90(3): 480-494.
[51]   Singh K, Chauhan H S, Rajput D K. 1989. Report of a 60 month study on litter production, changes in soil chemical properties and productivity under poplar (P. deltoides) and eucalyptus (E. hybrid) interplanted with aromatic grasses. Agroforestry Systems, 9(1): 37-45.
[52]   Song X P, Hansen M C, Stehman S V, et al. 2018. Global land change from 1982 to 2016. Nature, 560(7720): 639-643.
doi: 10.1038/s41586-018-0411-9 pmid: 30089903
[53]   Stromberg J C, Chew M K, Nagler P L, et al. 2009. Changing perceptions of change: the role of scientists in Tamarix and river management. Restoration Ecology, 17(2): 177-186.
[54]   Summer M E, Miller W P. 1996. Cation exchange capacity and exchange coefficient. In: Sparks D L. Methods of Soil Analysis. Part 3. Madison: American Society of Agronomy Ltc., 1201-1230.
[55]   Verón S R, Blanco L J, Texeira M A. 2018. Desertification and ecosystem services supply: The case of the arid Chaco of South America. Journal of Arid Environments, 159: 66-74.
[56]   Wartenberg A C, Blaser W J, Gattinger A, et al. 2017. Does shade tree diversity increase soil fertility in cocoa plantations?. Agriculture, Ecosystems and Environment, 248: 190-199.
[57]   Weil R R, Brady N C. 2015. The Nature and Properties of Soils (15th ed.). New Jersey: Pearson Prentice Hall, 1104.
[58]   Williams M C, Wardle G M. 2007. Pine and eucalypt litterfall in a pine-invaded eucalypt woodland: the role of fire and canopy cover. Forest Ecology and Management, 253(1-3): 1-10.
[59]   Xuluc-Tolosa F J, Vester H F, Ramırez-Marcial N, et al. 2003. Leaf litter decomposition of tree species in three successional phases of tropical dry secondary Forest in Campeche, Mexico. Forest Ecology and Management, l74(1-3): 401-412.
[60]   Yang C, Liu N, Zhang Y J. 2019. Soil aggregates regulate the impact of soil bacterial and fungal communities on soil respiration. Geoderma, 337: 444-452.
[61]   Zagatto M R, de Araujo Pereira A P, de Souza A J, et al. 2019. Interactions between mesofauna, microbiological and chemical soil attributes in pure and intercropped Eucalyptus grandis and Acacia mangium plantations. Forest Ecology and Management, 433: 240-247.
[62]   Zamani T, Karimi H, Tavakoli M, et al. 2018. Factors affecting the groundwater drawdown in Mehran Plain, Ilam Province. Hydrogeology, 2(2): 17-28.
[63]   Zhao H L, Guo Y R, Zhou R L, et al. 2011. The effects of plantation development on biological soil crust and topsoil properties in a desert in northern China. Geoderma, 160(3-4): 367-372.
[64]   Zhao H L, Zhou R L, Zhang T H, et al. 2006. Effects of desertification on soil and crop growth properties in Horqin sandy cropland of Inner Mongolia, north China. Soil and Tillage Research, 87(2): 175-185.
[1] SHEN Jianxiang, WANG Xin, WANG Lei, WANG Jiahui, QU Wenjie, ZHANG Xue, CHANG Xuanxuan, YANG Xinguo, CHEN Lin, QIN Weichun, ZHANG Bo, NIU Jinshuai. Spatiotemporal characteristics of seed rain and soil seed bank of artificial Caragana korshinskii Kom. forest in the Tengger Desert, China[J]. Journal of Arid Land, 2024, 16(4): 550-566.
[2] BAO Anming, YU Tao, XU Wenqiang, LEI Jiaqiang, JIAPAER Guli, CHEN Xi, Tojibaev KOMILJON, Shomurodov KHABIBULLO, Xabibullaev B SAGIDULLAEVICH, Idirisov KAMALATDIN. Ecological problems and ecological restoration zoning of the Aral Sea[J]. Journal of Arid Land, 2024, 16(3): 315-330.
[3] MAO Zhengjun, WANG Munan, CHU Jiwei, SUN Jiewen, LIANG Wei, YU Haiyong. Feature extraction and analysis of reclaimed vegetation in ecological restoration area of abandoned mines based on hyperspectral remote sensing images[J]. Journal of Arid Land, 2024, 16(10): 1409-1425.
[4] NAN Weige, DONG Zhibao, ZHOU Zhengchao, LI Qiang, CHEN Guoxiang. Ecological effect of the plantation of Sabina vulgaris in the Mu Us Sandy Land, China[J]. Journal of Arid Land, 2024, 16(1): 14-28.
[5] LI Wenye, ZHANG Jianfeng, SONG Shuangshuang, LIANG Yao, SUN Baoping, WU Yi, MAO Xiao, LIN Yachao. Combination of artificial zeolite and microbial fertilizer to improve mining soils in an arid area of Inner Mongolia, China[J]. Journal of Arid Land, 2023, 15(9): 1067-1083.
[6] Mohsen SHARAFATMANDRAD, Azam KHOSRAVI MASHIZI. Evaluation of restoration success in arid rangelands of Iran based on the variation of ecosystem services[J]. Journal of Arid Land, 2023, 15(11): 1290-1314.
[7] WANG Yaobin, SHANGGUAN Zhouping. Formation mechanisms and remediation techniques for low-efficiency artificial shelter forests on the Chinese Loess Plateau[J]. Journal of Arid Land, 2022, 14(8): 837-848.
[8] Keiichi KIMURA, Akito KONO, Susumu YAMADA, Tomoyo F KOYANAGI, Toshiya OKURO. Grazing and heat stress protection of native grass by a sand-fixing shrub in the arid lands of northern China[J]. Journal of Arid Land, 2022, 14(8): 867-876.
[9] WANG Kun, WANG Xiaoxia, FEI Hongyan, WAN Chuanyu, HAN Fengpeng. Changes in diversity, composition and assembly processes of soil microbial communities during Robinia pseudoacacia L. restoration on the Loess Plateau, China[J]. Journal of Arid Land, 2022, 14(5): 561-575.
[10] HAI Xuying, LI Jiwei, LIU Yulin, WU Jianzhao, LI Jianping, SHANGGUAN Zhouping, DENG Lei. Manipulated precipitation regulated carbon and phosphorus limitations of microbial metabolisms in a temperate grassland on the Loess Plateau, China[J]. Journal of Arid Land, 2022, 14(10): 1109-1123.
[11] HUANG Laiming, ZHAO Wen, SHAO Ming'an. Response of plant physiological parameters to soil water availability during prolonged drought is affected by soil texture[J]. Journal of Arid Land, 2021, 13(7): 688-698.
[12] ZHOU Siyuan, DUAN Yufeng, ZHANG Yuxiu, GUO Jinjin. Vegetation dynamics of coal mining city in an arid desert region of Northwest China from 2000 to 2019[J]. Journal of Arid Land, 2021, 13(5): 534-547.
[13] KE Zengming, LIU Xiaoli, MA Lihui, TU Wen, FENG Zhe, JIAO Feng, WANG Zhanli. Effects of restoration modes on the spatial distribution of soil physical properties after land consolidation: a multifractal analysis[J]. Journal of Arid Land, 2021, 13(12): 1201-1214.
[14] Zahra JAFARI, SayedHamid MATINKHAH, Mohammad R MOSADDEGHI, Mostafa TARKESH. Evaluation of the efficiency of irrigation methods on the growth and survival of tree seedlings in an arid climate[J]. Journal of Arid Land, 2020, 12(3): 495-507.
[15] LIU Weichao, FU Shuyue, YAN Shengji, REN Chengjie, WU Shaojun, DENG Jian, LI Boyong, HAN Xinhui, YANG Gaihe. Responses of plant community to the linkages in plant-soil C:N:P stoichiometry during secondary succession of abandoned farmlands, China[J]. Journal of Arid Land, 2020, 12(2): 215-226.