Coarse woody debris features of a warm temperate deciduous broad-leaved forest, northern China

Fang Ma , Liwen Zhuang , Shunzhong Wang , Weiguo Sang

Journal of Forestry Research ›› 2020, Vol. 32 ›› Issue (3) : 1105 -1114.

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Journal of Forestry Research ›› 2020, Vol. 32 ›› Issue (3) : 1105 -1114. DOI: 10.1007/s11676-020-01192-w
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Coarse woody debris features of a warm temperate deciduous broad-leaved forest, northern China

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Abstract

Stocking and structural composition of a deciduous broad-leaved forest were determined to predict coarse woody debris quantity by quantifying the empirical relationships between these two attributes. The most ecologically significant families by stem density were Salicaceae, Betulaceae, Fagaceae, and Aceraceae. Populus davidiana was the most dominant species followed by Betula dahurica, Quercus mongolica, and Acer mono. The four species accounted for 69.5% of total stems. Numerous small-diameter species characterized the coarse woody debris showing a reversed J-shaped distribution. The coarse debris of P. davidiana, B. dahurica, and Q. mongolica mainly comprised the 10–20 cm size class, whereas A. mono debris was mainly in the 5–10 cm size class. The spatial patterns of different size classes of coarse woody debris were analyzed using the g-function to determine the size of the tree at its death. The results indicate that the spatial patterns at the 0–50 m scale shifted gradually from an aggregated to a random pattern. For some species, the larger coarse debris might change from an aggregated to a random distribution more easily. Given the importance of coarse woody debris in forest ecosystems, its composition and patterns can improve understanding of community structure and dynamics. The aggregation pattern might be due to density dependence and self-thinning effects, as well as by succession and mortality. The four dominant species across the different size classes showed distinct aggregated distribution features at different spatial scales. This suggests a correlation between the dominant species population, size class, and aggregated distribution of coarse woody debris.

Keywords

Tree mortality / Diversity / Size class / Forest dynamic plot

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Fang Ma, Liwen Zhuang, Shunzhong Wang, Weiguo Sang. Coarse woody debris features of a warm temperate deciduous broad-leaved forest, northern China. Journal of Forestry Research, 2020, 32(3): 1105-1114 DOI:10.1007/s11676-020-01192-w

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References

[1]

Baddeley A, Rubak E, Turner R. 2015. Spatial point patterns: methodology and applications with R. London: Chapman and Hall/CRC Press. https://www.crcpress.com/Spatial-Point-Patterns-Methodology-and-Applications-with-R/Baddeley-Rubak-Turner/9781482210200/. Accessed 15 Sept 2018

[2]

Bin Y, Lian J, Wang Z, Ye W, Cao H. Tree mortality and recruitment in a subtropical broadleaved monsoon forest in south china. J Trop For Sci, 2011, 23: 57-66.

[3]

Bivand RS, Pebesma E, Gómez-Rubio V. Spatial point pattern analysis. applied spatial data analysis with R, 2013, New York: Springer 173 211

[4]

Bond Lamberty B, Rocha AV, Calvin K, Holmes B, Wang C, Goulden ML. Disturbance legacies and climate jointly drive tree growth and mortality in an intensively studied boreal forest. Glob Change Biol, 2014, 20: 216-227.

[5]

Brassard BW, Chen HY. Effects of forest type and disturbance on diversity of coarse woody debris in boreal forest. Ecosystems, 2008, 11: 1078-1090.

[6]

Bunnell FL, Houde I. Down wood and biodiversity-implications to forest practices. Environ Rev, 2010, 18: 397-421.

[7]

Collins MD, Simberloff D. Rarefaction and nonrandom spatial dispersion patterns. Environ Ecol Stat, 2009, 16: 89-103.

[8]

Coomes D, Allen R. Mortality and tree-size distributions in natural mixed-age forests. J Ecol, 2010, 95: 27-40.

[9]

Dai W, Fu W, Jiang P, Zhao K, Li Y, Tao J. Spatial pattern of carbon stocks in forest ecosystems of a typical subtropical region of southeastern China. For Ecol Manage, 2018, 409: 288-297.

[10]

Diggle PJ. Statistical analysis of spatial point patterns. Biometrics, 1983, 32: 659-667.

[11]

Dittrich S, Jacob M, Bade C, Leuschner C, Hauck M. The significance of deadwood for total bryophyte, lichen, and vascular plant diversity in an old-growth spruce forest. Plant Ecol, 2014, 215: 1123-1137.

[12]

Franklin JF. Composition, function, and structure of old-growth Douglas-fir forests. Wildlife and vegetation of unmanaged Douglas-fir forests, 1991, Washington, D.C.: USDA Forest Service 71 80

[13]

Fraver S, Jonsson BG, Jönsson M, Esseen PA. Demographics and disturbance history of a boreal old-growth Picea abies forest. J Veg Sci, 2008, 19: 789-798.

[14]

Frelich LE, Calcote RR, Davis MB, Pastor J. Patch formation and maintenance in an old-growth hemlock-hardwood forest. Ecology, 1993, 74: 513-527.

[15]

Gong H, Ye W, Hu X, Yang X. Tree species diversity and related mechanism in an evergreen broad-leaved forest in Ailao Mountains, Yunnan, China. J Agric Res, 2013, 8: 134-144.

[16]

Harmon ME, Franklin JF, Swanson FJ, Sollins P, Gregory SV, Lattin JD, Anderson NH, Cline SP, Aumen NG, Sedell JR. Ecology of coarse woody debris in temperate ecosystems. Adv Ecol Res, 1986, 15: 133-302.

[17]

Idol TW, Figler RA, Pope PE, Ponder Jr F. Characterization of coarse woody debris across a 100-year chronosequence of upland oak-hickory forests. For Ecol Manage, 2001, 149: 153-161.

[18]

Iida Y, Kohyama TS, Kubo T, Kassim AR, Poorter L, Sterck F, Potts MD. Tree architecture and life-history strategies across 200 co-occurring tropical tree species. Funct Ecol, 2011, 25: 1260-1268.

[19]

Janisch JE, Harmon ME. Successional changes in live and dead wood carbon stores: implications for net ecosystem productivity. Tree Physiol, 2002, 22: 77-89.

[20]

Kazempour LM, Taheri AK, Hassan P, David P, Beitollah A. Spatial patterns of trees from different development stages in mixed temperate forest in the Hyrcanian region of Iran. J For Sci, 2018, 64: 260-270.

[21]

Kneeshaw D, Bergeron Y, Kuuluvainen T. Forest ecosystem structure and disturbance dynamics across the circumboreal forest The sage handbook of biogeography, 2011, Los Angeles: Sage 263 280

[22]

Köster K, Metslaid M, Engelhart J, Köster E. Dead wood basic density and the concentration of carbon and nitrogen for main tree species in managed hemiboreal forests. For Ecol Manage, 2015, 354: 35-42.

[23]

Laiho R, Prescott CE. Decay and nutrient dynamics of coarse woody debris in northern conifer. Can J for Res, 2004, 34: 763-777.

[24]

Liu HF, Li L, Sang WG. Species composition and community structure of the Donglingshan forest dynamic plot in a warm temperate deciduous broad-leaved secondary forest, China. Biodivers Sci, 2011, 19: 232-242.

[25]

Loosmore NB, Ford ED. Statistical inference using the g or K point pattern spatial statistics. Ecology, 2006, 87: 1925-1931.

[26]

Lu ZJ, Liu FL, Wu H, Jiang MX. Species composition, size class, and spatial patterns of snags in the Badagongshan (BDGS) mixed evergreen and deciduous broad-leaved forest in central China. Biodivers Sci, 2015, 23: 167-173.

[27]

Ma KP. Large scale permanent plots: important platform for long term research on biodiversity in forest ecosystem. J Plant Ecol, 2008, 32: 237-237.

[28]

Mataji A, Sagheb-Talebi K, Eshaghi-Rad J. Deadwood assessment in different developmental stages of beech (Fagus orientalis Lipsky) stands in Caspian forest ecosystems. Int J Environ Sci Technol, 2014, 11: 1215-1222.

[29]

Montes F, Cañellas I. Modelling coarse woody debris dynamics in even-aged Scots pine forests. For Ecol Manage, 2006, 221: 220-232.

[30]

Salas C, Lemay V, Núñez P, Pacheco P, Espinosa A. Spatial patterns in an old-growth Nothofagus obliqua forest in south-central Chile. For Ecol Manage, 2006, 231: 38-46.

[31]

Sefidi K, Marvi MM, Zobeyri M, Etemad V. Investigation on dead trees effects on natural regeneration of oriental beech and hornbeam in a mixed beech forest. Iran J F Poplar Res, 2008, 4: 365-373.

[32]

Spies TA, Franklin JF, Thomas TB. Coarse woody Debris in Douglas-Fir forests of western oregon and Washington. Ecology, 1988, 69: 1689-1702.

[33]

Stevenson SK, Jull MJ, Rogers BJ. Abundance and attributes of wildlife trees and coarse woody debris at three silvicultural systems study areas in the Interior Cedar-Hemlock Zone, British Columbia. For Ecol Manage, 2006, 233: 176-191.

[34]

Stokland JN, Siitonen J, Jonsson BG. Biodiversity in dead wood. For Chron, 2012, 88: 660-660.

[35]

Szymañski C, Fontana G, Sanguinetti J. Natural and anthropogenic influences on coarse woody debris stocks in Nothofagus—Araucaria forests of northern Patagonia. Argent Aust Ecol, 2016, 42: 48-60.

[36]

Wang LW, Li BH, Ye J, Bai XJ, Yuan ZQ, Xing DL, Ling F, Shi S, Wang XG, Hao ZQ. Dynamics of short-term tree mortality in broad-leaved Korean pine (Pinus koraiensis) mixed forest in the Changbai Mountains. Biodivers Sci, 2011, 19: 260-270.

[37]

Wang B, Xiang WS, Ding T, Huang FZ, Wen SJ, Li DX, Guo YL, Li XK. Spatial distribution of standing dead trees abundance and its impact factors in the karst seasonal rain forest, Nonggang, southern China. Chin Sci Bull, 2014, 59: 3479-3490.

[38]

Wiegand T, Moloney KA. Rings, circles, and null-models for point pattern analysis in ecology [Review]. Oikos, 2010, 104: 209-229.

[39]

Woodall CW, Liknes GC. Climatic regions as an indicator of forest coarse and fine woody debris carbon stocks in the United States. Carbon Balance Manage, 2008, 3: 5.

[40]

Woodall CW, Nagel LM. Coarse woody type: a new method for analyzing coarse woody debris and forest change. For Ecol Manage, 2006, 227: 115-121.

[41]

Zhang J, Hao Z, Sun IF, Song B, Ye J, Li B, Wang X. Density dependence on tree survival in an old-growth temperate forest in northeastern China. Ann For, 2009, 66: 204.

[42]

Zhang QY, Zhang YC, Peng SL, Yirdaw E, Ning W. Spatial structure of alpine trees in Mountain Baima Xueshan on the southeast Tibetan Plateau. Silva fennica, 2009, 43: 197-208.

[43]

Zhang ZH, Hu G, Zhu JD, Ni J. Stand structure, woody species richness and composition of subtropical karst forests in Maolan, south-west China. J Trop For Sci, 2012, 24: 498-506.

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