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Imperfect detection is the rule rather than the exception in plant distribution studies

文献类型：期刊论文

作者Chen, Guoke; Kery, Marc2; Plattner, Matthias3; Ma, Keping; Gardner, Beth1
刊名JOURNAL OF ECOLOGY
出版日期2013
卷号101期号:1页码:183-191
关键词Bayesian analysis biodiversity monitoring detection probability hierarchical model occupancy plant population and community dynamics plant traits Switzerland
ISSN号0022-0477
DOI10.1111/1365-2745.12021
文献子类Article
英文摘要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.
学科主题Plant Sciences ; Ecology
出版地HOBOKEN
电子版国际标准刊号1365-2745
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)
语种英语
WOS记录号WOS:000317922200020
出版者WILEY
源URL[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.Hintermann & Weber AG, CH-4153 Reinach, Switzerland
2.Chinese Acad Sci, State Key Lab Vegetat & Environm Change, Inst Bot, Beijing 100093, Peoples R China
3.Swiss Ornithol Inst, CH-6204 Sempach, Switzerland
4.N Carolina State Univ, Dept Forestry & Environm Resources, Raleigh, NC 27695 USA
推荐引用方式
GB/T 7714		 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.

入库方式： OAI收割

来源：植物研究所

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