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Journal of Arid Land
Journal of Arid Land  2024, Vol. 16 Issue (2): 266-281    DOI: 10.1007/s40333-024-0005-3     CSTR: 32276.14.s40333-024-0005-3
Research article     
Effects of landscape fragmentation of plantation forests on carbon storage in the Loess Plateau, China
LEI Hangyu, DUAN Dantong, CHEN Yi, GUO Huifeng, LI Jiangtao, LI Xiang*()
College of Landscape Architecture and Art, Northwest A&F University, Yangling 712100, China
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Abstract  

Tree plantation and forest restoration are the major strategies for enhancing terrestrial carbon sequestration and mitigating climate change. The Grain for Green Project in China has positively impacted global carbon sequestration and the trend towards fragmentation of plantation forests. Limited studies have been conducted on changes in plantation biomass and stand structure caused by fragmentation, and the effect of fragmentation on the carbon storage of plantation forests remains unclear. This study evaluated the differences between carbon storage and stand structure in black locust forests in fragmented and continuous landscape in the Ansai District, China and discussed the effects of ecological significance of four landscape indices on carbon storage and tree density. We used structural equation modelling to explore the direct and indirect effects of fragmentation, edge, abiotic factors, and stand structure on above-ground carbon storage. Diameter at breast height (DBH) in fragmented forests was 53.3% thicker, tree density was 40.9% lower, and carbon storage was 49.8% higher than those in continuous forests; for all given DBH>10 cm, the trees in fragmented forests were shorter than those in continuous forests. The patch area had a negative impact on carbon storage, i.e., the higher the degree of fragmentation, the lower the density of the tree; and fragmentation and distance to edge (DTE) directly increased canopy coverage. However, canopy coverage directly decreased carbon storage, and fragmentation directly increased carbon storage and tree density. In non-commercial forests, fragmentation reduces the carbon storage potential of plantation, and the influence of patch area, edge, and patchy connection on plantation should be considered when follow-up trees are planted and for the plantation management. Thus, expanding the area of plantation patches, repairing the edges of complex-shaped patches, enhancing the connectivity of similar patches, and applying nutrients to plantation forests at regular intervals are recommended in fragmented areas of the Loess Plateau.

Key words： landscape fragmentation      plantation      carbon storage      tree allometry      tree density      structural equation modelling     
Received: 16 October 2023      Published: 29 February 2024
Corresponding Authors: *LI Xiang (E-mail: lx@nwafu.edu.cn)
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LEI Hangyu, DUAN Dantong, CHEN Yi, GUO Huifeng, LI Jiangtao, LI Xiang. Effects of landscape fragmentation of plantation forests on carbon storage in the Loess Plateau, China. Journal of Arid Land, 2024, 16(2): 266-281.

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http://jal.xjegi.com/10.1007/s40333-024-0005-3     OR     http://jal.xjegi.com/Y2024/V16/I2/266

Fig. 1 Sampling locations in fragmented and continuous forests of the study area
Component Allometric equation R2
Leaf ln(y)= -3.65+1.38ln(x) 0.70
Branch ln(y)= -3.38+2.38ln(x) 0.91
Bark ln(y)= -3.95+2.23ln(x) 0.96
Stem without bark ln(y)= -2.58+2.30ln(x) 0.96
Table 1 Allometric equations for estimating each component biomass of black locusts in the Loess Plateau
Fig. 2 Conceptual diagram illustrating axes of fragmentation and variables associated with fragmentation included in analyses. Green squares represent forest pixels, and adjacent pixels represent a patch. The red outline indicates a focal patch for isolation measures.
Fig. 3 Conceptual model describing how fragmentation and environmental attributes relate to forest structure and how all of these attributes relate to carbon storage. To test the conceptual model, we used patch area, edge, and proximity index with patch density as proxies for forest fragmentation, topographic moisture index (abiotic factor), distance to edge, canopy coverage, and tree density (structure), and above-ground carbon storage (carbon).
Fig. 4 Forest structure under fragmented and continuous forests. (a), DBH (diameter at breast height); (b), stand height; (c), above-ground carbon; (d), tree density; (e), canopy coverage. Bars are standard errors, and vertical line represents 95% confidence interval. ***, P<0.001 level.
t-test DBH (cm) Stand height (m) Carbon storage
(t/hm2)		 Tree density
(trees/0.01 hm2)		 Canopy
coverage (%)
df 42 42 42 42 42
P value <0.010*** 0.140 <0.010*** <0.010*** <0.010***
Fragmented forests 19.89 10.02 52.60 7.68 0.55
Continuous forests 12.97 10.59 35.10 13.00 0.77
Difference 6.93 -0.58 174.90 -5.32 -0.23
SE 0.57 0.39 33.98 0.37 0.02
Table 2 t-tests for DBH, stand height, above-ground carbon storage, tree density, and canopy coverage for two types of forests
Fig. 5 Relationship between stand height and DBH (diameter at breast height) under fragmented and continuous forests. Shaded area represents the 95% confidence interval of the regression.
Fig. 6 Relationships between four types of fragmentation indices and carbon storage. (a), AREA (patch area); (b), SHAPE (edge); (c), PROX (isolation); (d), PD (patch density). Shaded area represents the 95% confidence interval of the regression.
Fig. 7 Relationships between four types of fragmentation indices and tree density. (a), AREA (patch area); (b), SHAPE (edge); (c), PROX (isolation); (d), PD (patch density). Shaded area represents the 95% confidence interval of the regression.
Fig. 8 Structural equation model for combined effects of fragmentation, edge effect, abiotic factor, and stand structure on above-ground carbon in plantation forests on the Loess Plateau. Solid lines indicate positive impacts, dashed lines indicate negative impacts, and grey lines indicate coefficients that were not significant at P>0.050 level. DTE, distance to edge; TWI, topographic wetness index.
Standardised Coefficient SE z
value		 P
value		 95% confidence interval R2
value
Structural
TD 0.430
Fragmented 0.48 0.16 2.93 0.000 0.16-0.80
DTE 0.17 0.17 1.00 0.320 -0.17-0.51
TWI 0.19 0.11 1.74 0.080 -0.02-0.41
_cons 2.99 0.48 6.19 0.000 2.04-3.94
TCC 0.520
Fragmented 0.42 0.15 2.77 0.010 0.12-0.72
DTE 0.32 0.16 2.07 0.040 0.02-0.63
TWI 0.16 0.10 1.55 0.120 -0.04-0.36
_cons 4.45 0.57 7.82 0.000 3.33-5.56
C 0.360
TD -0.25 0.23 -1.09 0.270 -0.69-0.20
TCC -0.66 0.21 -3.07 0.000 -1.08- -0.24
Fragmented 0.48 0.20 2.45 0.010 0.10-0.87
DTE -0.15 0.19 -0.77 0.440 -0.53-0.23
TWI 0.17 0.12 1.39 0.160 -0.07-0.42
_cons 7.51 0.75 10.02 0.000 6.04-8.97
var(e.TD) 0.57 0.10 0.41-0.81
var(e.TCC) 0.48 0.09 0.33-0.69
var(e.C) 0.64 0.11 0.45-0.91
LR test of model vs. saturated: chi2(1)=27.36, prob>chi2=0.000
Table S1 Parameter statistics for structural equation modelling
[1]   Andivia E, Rolo V, Jonard M, et al. 2016. Tree species identity mediates mechanisms of top soil carbon sequestration in a Norway spruce and European beech mixed forest. Annals of Forest Science, 73(2): 437-447.
doi: 10.1007/s13595-015-0536-z
[2]   Benítez-Malvido J, Dáttilo W, Martínez-Falcón A P, et al. 2017. The multiple impacts of tropical forest fragmentation on arthropod biodiversity and on their patterns of interactions with host plants. PLoS ONE, 11(1): e146461, doi: 10.1371/journal.pone.0146461.
[3]   Bianchi J S, Kersten R D A. 2014. Edge effect on vascular epiphytes in a subtropical Atlantic forest. Acta Botânica Brasílica, 28(1): 120-126.
doi: 10.1590/S0102-33062014000100012
[4]   Bonner M T L, Schmidt S, Shoo L P. 2013. A meta-analytical global comparison of aboveground biomass accumulation between tropical secondary forests and monoculture plantations. Forest Ecology and Management, 291: 73-86.
doi: 10.1016/j.foreco.2012.11.024
[5]   Briant G, Gond V, Laurance S G W. 2010. Habitat fragmentation and the desiccation of forest canopies: A case study from eastern Amazonia. Biological Conservation, 143(11): 2763-2769.
doi: 10.1016/j.biocon.2010.07.024
[6]   Cabrera-Ariza A, Valdes S, Gilabert H, et al. 2021. Allometric models for estimating aboveground biomass in short rotation crops of Acacia species in two different sites in Chile. Forests, 12(12): 1767, doi: 10.3390/f12121767.
[7]   Camille M, Sanne G, Thomas V, et al. 2020. Drivers of carbon stocks in forest edges across Europe. Science of the Total Environment, 759: 143497, doi: 10.1016/j.scitotenv.2020.143497.
[8]   Capellesso E S, Cequinel A, Marques R, et al. 2020. Temporal and environmental correlates of carbon stocks in a regenerating tropical forest. Applied Vegetation Science, 23(3): 353-362.
doi: 10.1111/avsc.v23.3
[9]   Cardinale B J, Emmett D J, Andrew G, et al. 2012. Biodiversity loss and its impact on humanity. Nature, 486(7401): 59-67.
doi: 10.1038/nature11148
[10]   Chaplin-Kramer R, Ramler I, Sharp R, et al. 2015. Degradation in carbon stocks near tropical forest edges. Nature Communications, 6(1): 10158, doi: 10.1038/ncomms10158.
[11]   Chen J, Franklin J F, Spies T A. 1992. Vegetation responses to edge environments in old-growth Douglas-fir forests. Ecological Applications: A Publication of the Ecological Society of America, 2(4): 387-396.
[12]   Chen J, Brosofske K D, Noormets A, et al. 2004. A working framework for quantifying carbon sequestration in disturbed land mosaics. Environmental Management, 33(1): S210-S221.
[13]   Davies-Colley R J, Payne G W, Elswijk M V. 2000. Microclimate gradients across a forest edge. New Zealand Journal of Ecology, 24(2): 111-121.
[14]   del-Val E, Armesto J J, Barbosa O, et al. 2007. Effects of herbivory and patch size on tree seedling survivorship in a fog-dependent coastal rainforest in semiarid Chile. Oecologia, 153(3): 625-632.
pmid: 17566779
[15]   Deng L, Sweeney S, Shangguan Z. 2014. Long-term effects of natural enclosure: Carbon stocks, sequestration rates and potential for grassland ecosystems in the Loess Plateau. Clean-Soil Air Water, 42(5): 617-625.
doi: 10.1002/clen.v42.5
[16]   Eldpausch T R, Banin L, Phillips O L, et al. 2011. Height-diameter allometry of tropical forest trees. Biogeosciences, 8(56): 1081-1106.
doi: 10.5194/bg-8-1081-2011
[17]   Erdős L, Ambarlı D, Anenkhonov O A, et al. 2018. The edge of two worlds: A new review and synthesis on Eurasian forest-steppes. Applied Vegetation Science, 21(3): 345-362.
doi: 10.1111/avsc.2018.21.issue-3
[18]   Fahrig L. 2003. Effects of habitat fragmentation on biodiversity. Annual Review of Ecology, Evolution, and Systematics, 34(1): 487-515.
doi: 10.1146/ecolsys.2003.34.issue-1
[19]   Fletcher R J. 2005. Multiple edge effects and their implications in fragmented landscapes. Journal of Animal Ecology, 74(2): 342-352.
doi: 10.1111/jae.2005.74.issue-2
[20]   Fuller M M, Enquist B J. 2012. Accounting for spatial autocorrelation in null models of tree species association. Ecography, 35(6): 510-518.
doi: 10.1111/ecog.2012.35.issue-6
[21]   Gao Y, Wang Y. 2018. Medium and long-term influences of typical plantations on surface soil nutrients in the temperate zone of Mount Meng, China. Applied Ecology and Environmental Research, 16(5): 6385-6393.
doi: 10.15666/aeer
[22]   Haddad N M, Brudvig L A, Clobert J, et al. 2015. Habitat fragmentation and its lasting impact on Earth's ecosystems. Science Advances, 1(2): e1500052, doi: 10.1126/sciadv.1500052.
[23]   Harper K A, Macdonald S E, Mayerhofer M S, et al. 2015. Edge influence on vegetation at natural and anthropogenic edges of boreal forests in Canada and Fennoscandia. Journal of Ecology, 103(3): 550-562.
doi: 10.1111/jec.2015.103.issue-3
[24]   Hedwall P O, Holmström E, Lindbladh M, et al. 2019. Concealed by darkness: How stand density can override the biodiversity benefits of mixed forests. Ecosphere, 10(8): e02835, doi: 10.1002/ecs2.2835.
[25]   Hirose T. 2005. Development of the Monsi-Saeki theory on canopy structure and function. Annals of Botany, 95(3): 483-494.
pmid: 15585544
[26]   Hirtreiter J N, Potts D L. 2012. Canopy structure, photosynthetic capacity and nitrogen distribution in adjacent mixed and monospecific stands of Phragmites australis and Typha latifolia. Plant Ecology, 213(5): 821-829.
doi: 10.1007/s11258-012-0044-2
[27]   Holbrook N M, Putz F E. 1989. Influence of neighbors on tree form: Effects of lateral shade and prevention of sway on the allometry of Liquidambar styraciflua (Sweet Gum). American Journal of Botany, 76(12): 1740-1749.
doi: 10.1002/ajb2.1989.76.issue-12
[28]   Islam M, Deb G P, Rahman M. 2017. Forest fragmentation reduced carbon storage in a moist tropical forest in Bangladesh: Implications for policy development. Land Use Policy, 65: 15-25.
doi: 10.1016/j.landusepol.2017.03.025
[29]   Jacodziński A M, Oleksyn J. 2009. Ecological consequences of silviculture at variable stand densities. III. Stand stability, phytoclimate and biodiversity. Sylwan, 153(4): 219-230.
[30]   Jagodzinski A M, Dyderski M K, Gesikiewicz K, et al. 2019. Effects of stand features on aboveground biomass and biomass conversion and expansion factors based on a Pinus sylvestris L. chronosequence in western Poland. European Journal of Forest Research, 138(4): 673-683.
doi: 10.1007/s10342-019-01197-z
[31]   Jin C, Jiang B, Ding Y, et al. 2021. Functional traits change but species diversity is not influenced by edge effects in an urban forest of Eastern China. Urban Forestry & Urban Greening, 64: 127245, doi: 10.1016/j.ufug.2021.127245.
[32]   Khan M N I, Islam M R, Rahman A, et al. 2020. Allometric relationships of stand level carbon stocks to basal area, tree height and wood density of nine tree species in Bangladesh. Global Ecology and Conservation, 22: e01025, doi: 10.1016/j.gecco.2020.e01025.
[33]   Kohyama T. 2006. The effect of patch demography on the community structure of forest trees. Ecological Research, 21(3): 346-355.
doi: 10.1007/s11284-006-0168-8
[34]   Krishnadas M, Bagchi R, Sridhara S, et al. 2018. Weaker plant-enemy interactions decrease tree seedling diversity with edge-effects in a fragmented tropical forest. Nature Communications, 9(1): 4523, doi: 10.1038/s41467-018-06997-2.
pmid: 30375390
[35]   Laurance W F, Laurance S G, Ferreira L V, et al. 1997. Biomass collapse in Amazonian forest fragments. Science, 278(5340): 1117-1118.
doi: 10.1126/science.278.5340.1117
[36]   Laurance W F, Lovejoy T E, Vasconcelos H L, et al. 2002. Ecosystem decay of Amazonian forest fragments: A 22-year investigation. Conservation Biology, 16(3): 605-618.
doi: 10.1046/j.1523-1739.2002.01025.x
[37]   Laurance W F, Nascimento H E M, Laurance S G, et al. 2007. Habitat fragmentation, variable edge effects, and the landscape-divergence hypothesis. PLoS ONE, 2(10): e1017, doi: 10.1371/journal.pone.0001017.
pmid: 17925865
[38]   Lewis S L, Wheeler C E, Mitchard E T A, et al. 2019. Restoring natural forests is the best way to remove atmospheric carbon. Nature, 568(7750): 25-28.
doi: 10.1038/d41586-019-01026-8
[39]   Li H, Li C, Zha T, et al. 2014. Patterns of biomass allocation in an age-sequence of secondary Pinus bungean forests in China. Forestry Chronicle, 90(2): 169-176.
doi: 10.5558/tfc2014-034
[40]   Li J, Wang X C, Shao M G, et al. 2008. Simulation of water productivity and soil desiccation effects of different planting density black locust forestlands on the Loess Plateau. Journal of Ecology, 28(7): 3125-3142. (in Chinese)
[41]   Li T, Liu G. 2014. Age-related changes of carbon accumulation and allocation in plants and soil of black locust forest on Loess Plateau in Ansai County, Shaanxi Province of China. Chinese Geographical Science, 24(4): 414-422.
doi: 10.1007/s11769-014-0704-3
[42]   Li X, Tian Y, Zheng X, et al. 2020. Characterizing 40 years of natural Pinus sylvestris var. mongolica carbon stocks in Northeast China using stand age from remote sensing time series. International Journal of Remote Sensing, 41(6): 2391-2409.
doi: 10.1080/01431161.2019.1688420
[43]   Liu J G, Li S X, Ouyang Z Y, et al. 2008. Ecological and socioeconomic effects of China's policies for ecosystem services. Proceedings of the National Academy of Sciences of the United States of America, 105(28): 9477-9482.
[44]   Long H X, Shi W P, Liu J L. 2018. Research review and outlook of forest fragmentation and its solutions in China. World Forestry Research, 31(1): 69-74. (in Chinese)
[45]   Lü Y H, Fu B J, Feng X M, et al. 2017. A policy-driven large scale ecological restoration: Quantifying ecosystem services changes in the Loess Plateau of China. PLoS ONE, 7(2): e31782, doi: 10.1371/journal.pone.0031782.
[46]   Mehmood S, Zhang D. 2001. Forest parcelization in the United States: A study of contributing factors. Journal of Forestry, 99(4): 30-34.
[47]   Miranda B C, Sansevero J B B, Amorim T A, et al. 2022. Are liana communities in linear canopy openings subject to edge effects? Plant Ecology, 223(8): 1023-1034.
doi: 10.1007/s11258-022-01253-6
[48]   Mucina L, Geldenhuys C. 2006. Afrotemperate, subtropical and azonal forests. In: Mucinal L, Rutherford M C, Powrie L W, et al. The Vegetation of South Africa, Lesotho and Swaziland. Pretoria: South African National Biodiversity Institute, 584-615.
[49]   Nadkarni N M. 1994. Diversity of species and interactions in the upper tree canopy of forest ecosystems. American Zoologist, 34(1): 70-78.
doi: 10.1093/icb/34.1.70
[50]   Ohara R G, Ushimaru A. 2015. Plant beta-diversity is enhanced around grassland-forest edges within a traditional agricultural landscape. Applied Vegetation Science, 18(3): 493-502.
doi: 10.1111/avsc.2015.18.issue-3
[51]   Oliveira M A, Santos A M M, Tabarelli M. 2008. Profound impoverishment of the large-tree stand in a hyper-fragmented landscape of the Atlantic forest. Forest Ecology and Management, 256(11): 1910-1917.
doi: 10.1016/j.foreco.2008.07.014
[52]   Osuri A M, Kumar V S, Sankaran M. 2014. Altered stand structure and tree allometry reduce carbon storage in evergreen forest fragments in India's Western Ghats. Forest Ecology and Management, 329: 375-383.
doi: 10.1016/j.foreco.2014.01.039
[53]   Paulson A K, Peña H, Alexander H D, et al. 2021. Understory plant diversity and composition across a postfire tree density gradient in a Siberian Arctic boreal forest. Canadian Journal of Forest Research, 51(5): 720-731.
doi: 10.1139/cjfr-2020-0483
[54]   Petroselli A, Vessella F, Cavagnuolo L, et al. 2013. Ecological behavior of Quercus suber and Quercus ilex inferred by topographic wetness index (TWI). Trees-Structure and Function, 27(5): 1201-1215.
doi: 10.1007/s00468-013-0869-x
[55]   Pöpperl F, Seidl R. 2021. Effects of stand edges on the structure, functioning, and diversity of a temperate mountain forest landscape. Ecosphere, 12(8): e03692, doi: 10.1002/ecs2.3692.
[56]   Püttker T, Crouzeilles R, Almeida-Gomes M, et al. 2020. Indirect effects of habitat loss via habitat fragmentation: A cross-taxa analysis of forest-dependent species. Biological Conservation, 241: 108368, doi: 10.1016/j.biocon.2019.108368.
[57]   Rambo T R, North M P. 2009. Canopy microclimate response to pattern and density of thinning in a Sierra Nevada forest. Forest Ecology and Management, 257(2): 435-442.
doi: 10.1016/j.foreco.2008.09.029
[58]   Reinmann A B, Hutyra L R. 2017. Edge effects enhance carbon uptake and its vulnerability to climate change in temperate broadleaf forests. Proceedings of the National Academy of Sciences of the United States of America, 114(1): 107-112.
[59]   Ries L, Murphy S M, Wimp G M, et al. 2017. Closing persistent gaps in knowledge about edge ecology. Current Landscape Ecology Reports, 2(1): 30-41.
doi: 10.1007/s40823-017-0022-4
[60]   Rolo V, Olivier P I, Pfeifer M, et al. 2018. Functional diversity mediates contrasting direct and indirect effects of fragmentation on below- and above-ground carbon stocks of coastal dune forests. Forest Ecology and Management, 407: 174-183.
doi: 10.1016/j.foreco.2017.10.059
[61]   Sanchez A C, Lindsell J A. 2017. The role of remnant trees in carbon sequestration, vegetation structure and tree diversity of early succession regrowing fallows in eastern Sierra Leone. African Journal of Ecology, 55(2): 188-197.
doi: 10.1111/aje.2017.55.issue-2
[62]   Sandoval López D M, Arturi M F, Goya J F, et al. 2018. Eucalyptus grandis plantations: Effects of management on soil carbon, nutrient contents and yields. Journal of Forestry Research, 31(2): 601-611.
doi: 10.1007/s11676-018-0850-z
[63]   Schmidt M, Jochheim H, Kersebaum K C, et al. 2017. Gradients of microclimate, carbon and nitrogen in transition zones of fragmented landscapes-a review. Agricultural and Forest Meteorology, 232: 659-671.
doi: 10.1016/j.agrformet.2016.10.022
[64]   Schwartz N B, María U, Ruth D, et al. 2017. Fragmentation increases wind disturbance impacts on forest structure and carbon stocks in a western Amazonian landscape. Ecological Applications: A Publication of the Ecological Society of America, 27(6): 1901-1915.
[65]   Sfair J C, Arroyo-Rodriguez V, Santos B A, et al. 2016. Taxonomic and functional divergence of tree assemblages in a fragmented tropical forest. Ecological Applications, 26(6): 1816-1826.
doi: 10.1890/15-1673.1 pmid: 27755700
[66]   Shahid M, Joshi S P. 2018. Carbon stock variation in different forest types of western Himalaya, Uttarakhand. Journal of Forest and Environmental Science, 34(2): 145-152.
[67]   Socolar J B, Gilroy J J, Kunin W E, et al. 2016. How should beta-diversity inform biodiversity conservation? Trends in Ecology & Evolution, 31(1): 67-80.
doi: 10.1016/j.tree.2015.11.005
[68]   Stine A R, Huybers P. 2017. Implications of Liebig's law of the minimum for tree-ring reconstructions of climate. Environmental Research Letters, 12(11): 114018, doi: 10.1088/1748-9326/aa8cd6.
[69]   Surendra A, Osuri A M, Ratnam J. 2021. Varying impacts of logging frequency on tree communities and carbon storage across evergreen and deciduous tropical forests in the Andaman Islands, India. Forest Ecology and Management, 481: 118791, doi: 10.1016/j.foreco.2020.118791.
[70]   Tarvainen L, Raentfors M, Wallin G. 2015. Seasonal and within-canopy variation in shoot-scale resource-use efficiency trade-offs in a Norway spruce stand. Plant, Cell and Environment, 38(11): 2487-2496.
doi: 10.1111/pce.v38.11
[71]   Willmer J N G, Püttker T, Prevedello J A. 2022. Global impacts of edge effects on species richness. Biological Conservation, 272: 109654, doi: 10.1016/j.biocon.2022.109654.
[72]   Yang B, Xue W, Yu S, et al. 2019a. Effects of stand age on biomass allocation and allometry of Quercus acutissima in the central Loess Plateau of China. Forests, 10(1): 41, doi: 10.3390/f10010041.
[73]   Yang H, Guo Z L, Chu X L, et al. 2019b. Comment on ''Impacts of species richness on productivity in a large-scale subtropical forest experiment''. Science, 363(6423): eaav9863, doi: 10.1126/science.aav9863.
[74]   Yang Z, Dong J W, Xu X L, et al. 2018. Spatiotemporal pattern of forest fragmentation in the Loess Plateau. Resource Science, 40(6): 1246-1255. (in Chinese)
[75]   Yang Z, Liu Q J, Qin L H, et al. 2022. Ecological benefit assessment of the Grain for Green Project in Yan'an. Journal of Northwest Forestry University, 37(1): 259-266. (in Chinese)
[76]   Zaninovich S C, Gatti M G. 2020. Carbon stock densities of semi-deciduous Atlantic forest and pine plantations in Argentina. Science of the Total Environment, 747: 141085, doi: 10.1016/j.scitotenv.2020.141085.
[77]   Zhang Y, Liu T, Guo J, et al. 2021. Changes in the understory diversity of secondary Pinus tabulaeformis forests are the result of stand density and soil properties. Global Ecology and Conservation, 28: e01628, doi: 10.1016/j.gecco.2021.e01628.
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[9] Wen SHANG, Yuqiang LI, Xueyong ZHAO, Tonghui ZHANG, Quanlin MA, Jinnian TANG, Jing FENG, Na SU. Effects of Caragana microphylla plantations on organic carbon sequestration in total and labile soil organic carbon fractions in the Horqin Sandy Land, northern China[J]. Journal of Arid Land, 2017, 9(5): 688-700.
[10] Xing WANG, Zhiyong GAO, Youke WANG, Zhi Wang, Shanshan JIN. Dew measurement and estimation of rain-fed jujube (Zizyphus jujube Mill) in a semi-arid loess hilly region of China[J]. Journal of Arid Land, 2017, 9(4): 547-557.
[11] Qingxue LI, Zhiqing JIA, Tao LIU, Lili FENG, Lingxianzi HE. Effects of different plantation types on soil properties after vegetation restoration in an alpine sandy land on the Tibetan Plateau, China[J]. Journal of Arid Land, 2017, 9(2): 200-209.
[12] TIAN Zheng, WU Xiuqin, DAI Erfu, ZHAO Dongsheng. SOC storage and potential of grasslands from 2000 to 2012 in central and eastern Inner Mongolia, China[J]. Journal of Arid Land, 2016, 8(3): 364-374.
[13] WANG Kaibo, DENG Lei, REN Zongping, SHI Weiyu, CHEN Yiping, SHANG-GUAN Zhouping. Dynamics of ecosystem carbon stocks during vegetation restoration on the Loess Plateau of China[J]. Journal of Arid Land, 2016, 8(2): 207-220.
[14] Hormoz SOHRABI, Siavash BAKHTIARVAND-BAKHTIARI, Kourosh AHMADI. Above- and below-ground biomass and carbon stocks of different tree plantations in central Iran[J]. Journal of Arid Land, 2016, 8(1): 138-145.
[15] YuQiang LI, XueYong ZHAO, FengXia ZHANG, Tala AWADA3, ShaoKun WANG, HaLin ZHAO, TongHui ZHANG, YuLin LI. Accumulation of soil organic carbon during natural restoration of desertified grassland in China's Horqin Sandy Land[J]. Journal of Arid Land, 2015, 7(3): 328-340.