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Imperfect detection is the rule rather than the exception in plant distribution studies
Chen, Guoke; Kery, Marc1; Plattner, Matthias2; Ma, Keping; Gardner, Beth3
2013
发表期刊JOURNAL OF ECOLOGY
ISSN0022-0477
卷号101期号:1页码:183-191
摘要1. Imperfect detection can seriously bias conventional estimators of species distributions and species richness. Plant traits, survey-specific conditions and site-specific characteristics may influence plant detection probability. However, the generality of the problems induced by imperfect detection in plants and the magnitude of this challenge for plant distribution studies are currently unknown. 2. We address this question based on data from the Swiss Biodiversity Monitoring, in which vascular plants are surveyed twice in the same year along a 2.5-km transect in 451 1-km(2) quadrats. Overall, 1700 species were recorded. We chose a random sample of 100 species from the 1700 species to determine general detection levels. To examine the relationship of covariates on detection, we chose a stratified random sample of 100 species from 886 species that were detected in at least 18 locations, with 25 each from four life-forms (LF): grass, forb, shrub and tree. Using a Bayesian multispecies site-occupancy model, we estimated occurrence and detection probability of these species and their relation to covariates. 3. Based on the random sample of 100 species, detection probability during the first survey ranged 0.03-0.99 (median 0.74) and during the second survey, 0.03-0.99 (median 0.82). Based on the stratified random sample of 100 species, detection probability during the first survey ranged 0.02-0.99 (median 0.87) and during the second survey, 0.01-1 (median 0.89). Detection probability differed slightly among the four LFs. In 60 species, survey season or elevation had significant effects on detection. We illustrated detection probability maps for Switzerland based on the modelled relationships with environmental covariates. 4. Synthesis. Our findings suggest that even in a standardized monitoring program, imperfect detection of plants may be common. With the absence of a correction for detection errors, maps in plant distribution studies will be confounded with spatial patterns in detection probability. We presume that these problems will be much more widespread in the data sets that are used for conventional plant species distribution modelling. Imperfect detection should be estimated, even in distribution studies of plants and other sessile organisms, to better control detection errors that may compromise the results of species distribution studies.
关键词Bayesian analysis biodiversity monitoring detection probability hierarchical model occupancy plant population and community dynamics plant traits Switzerland
学科领域Plant Sciences ; Ecology
DOI10.1111/1365-2745.12021
收录类别SCI
语种英语
WOS关键词SPECIES RICHNESS ; BIOLOGICAL DIVERSITY ; POPULATION-SIZE ; SCALE ; BIODIVERSITY ; ISLANDS ; HABITAT ; ERROR ; PROBABILITIES ; CONSERVATION
WOS研究方向Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号WOS:000317922200020
出版者WILEY
文献子类Article
出版地HOBOKEN
EISSN1365-2745
引用统计
被引频次:111[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/2S10CLM1/28114
专题植被与环境变化国家重点实验室
作者单位1.Chinese Acad Sci, State Key Lab Vegetat & Environm Change, Inst Bot, Beijing 100093, Peoples R China
2.Swiss Ornithol Inst, CH-6204 Sempach, Switzerland
3.Hintermann & Weber AG, CH-4153 Reinach, Switzerland
4.N Carolina State Univ, Dept Forestry & Environm Resources, Raleigh, NC 27695 USA
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Chen, Guoke,Kery, Marc,Plattner, Matthias,et al. Imperfect detection is the rule rather than the exception in plant distribution studies[J]. JOURNAL OF ECOLOGY,2013,101(1):183-191.
APA Chen, Guoke,Kery, Marc,Plattner, Matthias,Ma, Keping,&Gardner, Beth.(2013).Imperfect detection is the rule rather than the exception in plant distribution studies.JOURNAL OF ECOLOGY,101(1),183-191.
MLA Chen, Guoke,et al."Imperfect detection is the rule rather than the exception in plant distribution studies".JOURNAL OF ECOLOGY 101.1(2013):183-191.
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