Environment- and trait-mediated scaling of tree occupancy in forests worldwide

doi:10.1111/geb.12922

	Environment- and trait-mediated scaling of tree occupancy in forests worldwide
	Ren, Haibao 1; Keil, Petr 2; Mi, Xiangcheng ; Ma, Keping; Hao, Zhanqing 3; Ye, Wanhui 4; Lin, Luxiang 5; Valencia, Renato 6; Fletcher, Christine Dawn 7; Thomas, Duncan W.; Howe, Robert W.; Lutz, James 10; Bourg, Norman A.; Su, Sheng-Hsin ; Sun, I-Fang ; Zhu, Li ; Chang, Li-Wan ; Wang, Xihua 14,15; Du, Xiaojun ; Kenfack, David 16,17; Chuyong, George B.; Jetz, Walter 1
	2019
发表期刊	GLOBAL ECOLOGY AND BIOGEOGRAPHY
ISSN	1466-822X
卷号	28 期号:8 页码:1155-1167
摘要	Aim 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.
关键词	abundance actual evapotranspiration biodiversity conservation Nachman model occupancy-area relationship scaling spatial aggregation topography tree size
学科领域	Ecology ; Geography, Physical
DOI	10.1111/geb.12922
收录类别	SCI
语种	英语
WOS关键词	NEGATIVE DENSITY-DEPENDENCE ; SPECIES DISTRIBUTIONS ; PLANT DIVERSITY ; SEED DISPERSAL ; BETA DIVERSITY ; PATTERNS ; ECOLOGY ; COMMUNITY ; ABUNDANCE ; POPULATION
WOS研究方向	Environmental Sciences & Ecology ; Physical Geography
WOS记录号	WOS:000475489600010
出版者	WILEY
文献子类	Article
出版地	HOBOKEN
EISSN	1466-8238
资助机构	Strategic Priority Research Program of Chinese Academy of SciencesChinese Academy of Sciences [XDB31030000] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41371074]
作者邮箱	renhb@ibcas.ac.cn ; walter.jetz@yale.edu
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ibcas.ac.cn/handle/2S10CLM1/19615
专题	植被与环境变化国家重点实验室
作者单位	1.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.Thomas, Duncan W.] Washington State Univ, Sch Biol Sci, Vancouver, WA USA 10.Howe, Robert W.] Univ Wisconsin, Dept Nat & Appl Sci, Green Bay, WI 54302 USA 11.Utah State Univ, Wildland Resources Dept, Logan, UT 84322 USA 12.Bourg, Norman A.] 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.Chuyong, George B.] Univ Buea, Dept Bot & Plant Physiol, Buea, Cameroon
推荐引用方式 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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