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Demographic composition, not demographic diversity, predicts biomass and turnover across temperate and tropical forests
Needham, Jessica F.; Johnson, Daniel J.; Anderson-Teixeira, Kristina J.; Bourg, Norman4; Bunyavejchewin, Sarayudh5; Butt, Nathalie6; Cao, Min7; Cardenas, Dairon8; Chang-Yang, Chia-Hao; Chen, Yu-Yun; Chuyong, George11; Dattaraja, Handanakere S.; Davies, Stuart J.; Duque, Alvaro14; Ewango, Corneille E. N.; Fernando, Edwino S.; Fisher, Rosie18; Fletcher, Christine D.; Foster, Robin20; Hao, Zhanqing21; Hart, Terese22; Hsieh, Chang-Fu; Hubbell, Stephen P.; Itoh, Akira26; Kenfack, David13; Koven, Charles D.; Larson, Andrew J.; Lutz, James A.; McShea, William4; Makana, Jean-Remy; Malhi, Yadvinder; Marthews, Toby32; Mohamad, Mohizah Bt33; Morecroft, Michael D.; Norden, Natalia34; Parker, Geoffrey; Shringi, Ankur; Sukumar, Raman; Suresh, Hebbalalu S.; Sun, I-Fang; Tan, Sylvester33; Thomas, Duncan W.; Thompson, Jill37; Uriarte, Maria38; Valencia, Renato39; Yao, Tze Leong20; Yap, Sandra L.; Yuan, Zuoqiang41; Yuehua, Hu7; Zimmerman, Jess K.; Zuleta, Daniel13; McMahon, Sean M.
2022
Source PublicationGLOBAL CHANGE BIOLOGY
ISSN1354-1013
Volume28Issue:9Pages:2895-2909
Abstract

The growth and survival of individual trees determine the physical structure of a forest with important consequences for forest function. However, given the diversity of tree species and forest biomes, quantifying the multitude of demographic strategies within and across forests and the way that they translate into forest structure and function remains a significant challenge. Here, we quantify the demographic rates of 1961 tree species from temperate and tropical forests and evaluate how demographic diversity (DD) and demographic composition (DC) differ across forests, and how these differences in demography relate to species richness, aboveground biomass (AGB), and carbon residence time. We find wide variation in DD and DC across forest plots, patterns that are not explained by species richness or climate variables alone. There is no evidence that DD has an effect on either AGB or carbon residence time. Rather, the DC of forests, specifically the relative abundance of large statured species, predicted both biomass and carbon residence time. Our results demonstrate the distinct DCs of globally distributed forests, reflecting biogeography, recent history, and current plot conditions. Linking the DC of forests to resilience or vulnerability to climate change, will improve the precision and accuracy of predictions of future forest composition, structure, and function.

Keywordaboveground biomass carbon residence time forest dynamics ForestGEO size-dependent survival species richness tree demography
Subject AreaBiodiversity & Conservation ; Environmental Sciences & Ecology
DOI10.1111/gcb.16100
Indexed BySCI
Language英语
WOS IDWOS:000757976800001
Citation statistics
Document Type期刊论文
Identifierhttps://ir.xtbg.ac.cn/handle/353005/12983
Collection其他
Affiliation1.[Needham, Jessica F.; Anderson-Teixeira, Kristina J.; Davies, Stuart J.; Kenfack, David; Zuleta, Daniel; McMahon, Sean M.] Smithsonian Trop Res Inst, Forest Global Earth Observ, Panama City, Panama
2.Needham, Jessica F.; Parker, Geoffrey; McMahon, Sean M.] Smithsonian Environm Res Ctr, POB 28, Edgewater, MD 21037 USA
3.Needham, Jessica F.; Koven, Charles D.] Lawrence Berkeley Natl Lab, Berkeley, CA 94720 USA
4.Johnson, Daniel J.] Univ Florida, Sch Forest Fisheries & Geomat Sci, Gainesville, FL USA
5.Smithsonian Conservat Biol Inst, Front Royal, VA USA
6.Forest Res Off, Dept Natl Pk Wildlife & Plant Conservat, Bangkok, Thailand
7.Univ Queensland, Sch Earth & Environm Sci, St Lucia, Qld, Australia
8.Chinese Acad Sci, CAS Key Lab Trop Forest Ecol, Xishuangbanna Trop Bot Garden, Kunming, Yunnan, Peoples R China
9.Inst Amazon Invest Cient Sinchi, Herbario Amazon Colombiana, Bogota, Colombia
10.Natl Sun Yat Sen Univ, Dept Biol Sci, Kaohsiung, Taiwan
11.Natl Dong Hwa Univ, Dept Nat Resources & Environm Studies, Hualien, Taiwan
12.Univ Buea, Dept Plant Sci, Buea, Cameroon
13.Dattaraja, Handanakere S.; Shringi, Ankur; Sukumar, Raman; Suresh, Hebbalalu S.] Indian Inst Sci, Ctr Ecol Sci, Bangalore, Karnataka, India
14.Smithsonian Trop Res Inst, Washington, DC USA
15.Univ Nacl Colombia Sede Medellin, Dept Ciencias Forestales, Medellin, Colombia
16.Ewango, Corneille E. N.] Univ Kisangani, Fac Management Renewable Nat Resources, Kisangani, DEM REP CONGO
17.Fernando, Edwino S.] Univ Philippines, Dept Forest Biol Sci, Los Banos, Philippines
18.Fernando, Edwino S.] Univ Philippines Diliman, Inst Biol, Quezon City, Philippines
19.CICERO Ctr Int Climate Res, Oslo, Norway
20.Fletcher, Christine D.] Forest Res Inst Malaysia, Kepong, Selangor, Malaysia
21.Field Museum, Dept Bot, Chicago, IL USA
22.Northwestern Polytech Univ, Sch Ecol & Environm, Xian, Shaanxi, Peoples R China
23.Lukuru Wildlife Res Fdn, Tshuapa Lomami Lualaba Project TL2, Kinshasa, DEM REP CONGO
24.Natl Taiwan Univ, Inst Ecol & Evolutionary Biol, Taipei, Taiwan
25.Hubbell, Stephen P.] Univ Calif Los Angeles, Dept Ecol & Evolutionary Biol, Los Angeles, CA USA
26.Hubbell, Stephen P.] Smithsonian Trop Res Inst, Panama City, Panama
27.Osaka City Univ, Grad Sch Sci, Osaka, Japan
28.Larson, Andrew J.] Univ Montana, WA Franke Coll Forestry & Conservat, Dept Forest Management, Missoula, MT 59812 USA
29.Larson, Andrew J.] Univ Montana, WA Franke Coll Forestry & Conservat, Wilderness Inst, Missoula, MT 59812 USA
30.Lutz, James A.] Utah State Univ, Wildland Resources Dept, Logan, UT 84322 USA
31.Univ Kisangani, Fac Sci, Dept Plant Ecol & Nat Resources Management, Kisangani, DEM REP CONGO
32.Malhi, Yadvinder; Morecroft, Michael D.] Univ Oxford, Sch Geog & Environm, Oxford, England
33.UK Ctr Ecol & Hydrol, Wallingford, Oxon, England
34.Sarawak Forestry Dept, Sarawak, Malaysia
35.Inst Invest Recursos Biol Alexander von Humboldt, Programa Ciencias Basicas Biodiversidad, Bogota, Colombia
36.Sukumar, Raman; Suresh, Hebbalalu S.] Indian Inst Sci, Divecha Ctr Climate Change, Bangalore, Karnataka, India
37.Thomas, Duncan W.] Washington State Univ, Sch Biol Sci, Vancouver, WA USA
38.UK Ctr Ecol & Hydrol, Bush Estate, Penicuik, Midlothian, England
39.Columbia Univ, Dept Ecol Evolut & Environm Biol, New York, NY USA
40.Pontificia Univ Catolica Ecuador, Escuela Ciencias Biol, Quito, Ecuador
41.Yap, Sandra L.] Far Eastern Univ, Manila, Philippines
42.Chinese Acad Sci, Inst Appl Ecol, Key Lab Forest Ecol & Management, Shenyang, Peoples R China
43.Zimmerman, Jess K.] Univ Puerto Rico, Dept Environm Sci, Rio Piedras, PR USA
Recommended Citation
GB/T 7714
Needham, Jessica F.,Johnson, Daniel J.,Anderson-Teixeira, Kristina J.,et al. Demographic composition, not demographic diversity, predicts biomass and turnover across temperate and tropical forests[J]. GLOBAL CHANGE BIOLOGY,2022,28(9):2895-2909.
APA Needham, Jessica F..,Johnson, Daniel J..,Anderson-Teixeira, Kristina J..,Bourg, Norman.,Bunyavejchewin, Sarayudh.,...&McMahon, Sean M..(2022).Demographic composition, not demographic diversity, predicts biomass and turnover across temperate and tropical forests.GLOBAL CHANGE BIOLOGY,28(9),2895-2909.
MLA Needham, Jessica F.,et al."Demographic composition, not demographic diversity, predicts biomass and turnover across temperate and tropical forests".GLOBAL CHANGE BIOLOGY 28.9(2022):2895-2909.
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