IMR OpenIR
Environment- and trait-mediated scaling of tree occupancy in forests worldwide
Ren, Haibao1,2; Keil, Petr3; Mi, Xiangcheng1; Ma, Keping1; Hao, Zhanqing4; Ye, Wanhui5; Lin, Luxiang6; Valencia, Renato7; Fletcher, Christine Dawn8; Thomas, Duncan W.9; Howe, Robert W.10; Lutz, James11; Bourg, Norman A.12; Su, Sheng-Hsin13; Sun, I-Fang14; Zhu, Li1; Chang, Li-Wan13; Wang, Xihua15,16; Du, Xiaojun1; Kenfack, David17,18; Chuyong, George B.19; Jetz, Walter2
Corresponding AuthorRen, Haibao(renhb@ibcas.ac.cn) ; Jetz, Walter(walter.jetz@yale.edu)
2019-08-01
Source PublicationGLOBAL ECOLOGY AND BIOGEOGRAPHY
ISSN1466-822X
Volume28Issue:8Pages:1155-1167
AbstractAim The relationship between the proportion of sites occupied by a species and the area of a site [occupancy-area relationship (OAR)] offers key information for biodiversity management and has long fascinated ecologists. We quantified the variation in OAR for 3,157 woody species in 17 forest plots worldwide and tested the relative importance of environment and species traits for explaining this variation and evaluated overall model predictive ability. Location Global. Time period Early 21st century. Major taxa studied Woody plants. Methods We used mixed-effect regression to examine the observed shape of the OAR (its "slope") against species-specific and plot-wide predictors: coarse-grain occupancy, tree size, plot species richness, energy availability and topographic complexity. Results We found large variation in OAR slopes, and the variation was strongest among species within plots. The OAR slopes showed a latitudinal trend and were steeper near the equator. As predicted, coarse-grain occupancy and tree size negatively affected OAR slopes, whereas species richness had a positive effect and explained most of the variance between plots. Although hypothesized directionalities were broadly confirmed, traits and environment had relatively limited overall predictive power. Main conclusions These results document the variation of the OAR for 3,157 species at near-global extent. We found a latitudinal gradient in OAR slopes and confirmed key hypothesized predictors. But at this global extent and over the large set of species analysed, the remaining unexplained variation in OAR slopes was substantial. Nevertheless, this large-scale empirical analysis of the OAR offers an initial step towards a more general use of OARs for the fine-scale prediction of species distributions and abundance.
Keywordabundance actual evapotranspiration biodiversity conservation Nachman model occupancy-area relationship scaling spatial aggregation topography tree size
Funding OrganizationStrategic Priority Research Program of Chinese Academy of Sciences ; National Natural Science Foundation of China
DOI10.1111/geb.12922
Indexed BySCI
Language英语
Funding ProjectStrategic Priority Research Program of Chinese Academy of Sciences[XDB31030000] ; National Natural Science Foundation of China[41371074]
WOS Research AreaEnvironmental Sciences & Ecology ; Physical Geography
WOS SubjectEcology ; Geography, Physical
WOS IDWOS:000475489600010
PublisherWILEY
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/134275
Collection中国科学院金属研究所
Corresponding AuthorRen, Haibao; Jetz, Walter
Affiliation1.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
2.Yale Univ, Dept Ecol & Evolutionary Biol, New Haven, CT USA
3.German Ctr Integrat Biodivers Res iDiv, Leipzig, Germany
4.Chinese Acad Sci, Inst Appl Ecol, Key Lab Forest Ecol & Management, Shenyang, Peoples R China
5.Chinese Acad Sci, Key Lab Vegetat Restorat & Management Degraded Ec, South China Bot Garden, Guangzhou, Guangdong, Peoples R China
6.Chinese Acad Sci, Key Lab Trop Forest Ecol, Xishuangbanna Trop Bot Garden, Kunming, Yunnan, Peoples R China
7.Pontificia Univ Catolica Ecuador, Lab Ecol Plantas, Herbario QCA, Escuela Ciencias Biol, Quito, Ecuador
8.Forest Res Inst Malaysia, Kuala Lumpur, Malaysia
9.Washington State Univ, Sch Biol Sci, Vancouver, WA USA
10.Univ Wisconsin, Dept Nat & Appl Sci, Green Bay, WI 54302 USA
11.Utah State Univ, Wildland Resources Dept, Logan, UT 84322 USA
12.Natl Zool Pk, Smithsonian Conservat Biol Inst, Conservat Ecol Ctr, Washington, DC USA
13.Taiwan Forestry Res Inst, Taipei, Taiwan
14.Natl Dong Hwa Univ, Dept Nat Resources & Environm Studies, Hualien, Taiwan
15.Tiantong Natl Forest Ecosyst Observat & Res Stn, Ningbo, Zhejiang, Peoples R China
16.East China Normal Univ, Sch Ecol & Environm Sci, Shanghai, Peoples R China
17.Smithsonian Trop Res Inst, Forest Global Earth Observ, Ctr Trop Forest Sci, Panama City, Panama
18.Natl Museum Nat Hist, Dept Bot, Washington, DC 20560 USA
19.Univ Buea, Dept Bot & Plant Physiol, Buea, Cameroon
Recommended Citation
GB/T 7714
Ren, Haibao,Keil, Petr,Mi, Xiangcheng,et al. Environment- and trait-mediated scaling of tree occupancy in forests worldwide[J]. GLOBAL ECOLOGY AND BIOGEOGRAPHY,2019,28(8):1155-1167.
APA Ren, Haibao.,Keil, Petr.,Mi, Xiangcheng.,Ma, Keping.,Hao, Zhanqing.,...&Jetz, Walter.(2019).Environment- and trait-mediated scaling of tree occupancy in forests worldwide.GLOBAL ECOLOGY AND BIOGEOGRAPHY,28(8),1155-1167.
MLA Ren, Haibao,et al."Environment- and trait-mediated scaling of tree occupancy in forests worldwide".GLOBAL ECOLOGY AND BIOGEOGRAPHY 28.8(2019):1155-1167.
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