| 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.
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| 2022 | |
| Source Publication | GLOBAL CHANGE BIOLOGY
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| ISSN | 1354-1013 |
| Volume | 28Issue: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. |
| Keyword | aboveground biomass carbon residence time forest dynamics ForestGEO size-dependent survival species richness tree demography |
| Subject Area | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| DOI | 10.1111/gcb.16100 |
| Indexed By | SCI |
| Language | 英语 |
| WOS ID | WOS:000757976800001 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | https://ir.xtbg.ac.cn/handle/353005/12983 |
| Collection | 其他 |
| Affiliation | 1.[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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| Demographic composit(2170KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Download | |
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