干旱区生态环境知识资源中心(Arid): Accessibility maps as a tool to predict sampling bias in historical biodiversity occurrence records

Arid

DOI	10.1111/ecog.03944
	Accessibility maps as a tool to predict sampling bias in historical biodiversity occurrence records
	Monsarrat, Sophie; Boshoff, Andre F.; Kerley, Graham I. H.
通讯作者	Monsarrat, Sophie
来源期刊	ECOGRAPHY
ISSN	0906-7590
EISSN	1600-0587
出版年	2019
卷号	42 期号:1 页码:125-136
英文摘要	Historical biodiversity occurrence records are often discarded in spatial modeling analyses because of a lack of a method to quantify their sampling bias. Here we propose a new approach for predicting sampling bias in historical written records of occurrence, using a South African example as proof of concept. We modelled and mapped accessibility of the study area as the mean of proximity to freshwater and European settlements. We tested the model's ability to predict the location of historical biodiversity records from a dataset of 2612 large mammal occurrence records collected from historical written sources in South Africa in the period 1497-1920. We investigated temporal, spatial and environmental biases in these historical records and examined if the model prediction and occurrence dataset share similar environmental bias. We find a good agreement between the accessibility map and the distribution of sampling effort in the early historical period in South Africa. Environmental biases in the empirical data are identified, showing a preference for lower maximum temperature of the warmest month, higher mean monthly precipitation, higher net primary productivity and less arid biomes than expected by a uniform use of the study area. We find that the model prediction shares similar environmental bias as the empirical data. Accessibility maps, built with very simple statistical rules and in the absence of empirical data, can thus predict the spatial and environmental biases observed in historical biodiversity occurrence records. We recommend that this approach be used as a tool to estimate sampling bias in small datasets of occurrence and to improve the use of these data in spatial analyses in ecological and conservation studies.
英文关键词	citizen-science environmental bias historical ecology mammals occurrence records South Africa
类型	Article
语种	英语
国家	South Africa
收录类别	SCI-E
WOS记录号	WOS:000454810100012
WOS关键词	SPECIES RICHNESS ; CITIZEN SCIENCE ; SOUTHERN AFRICA ; LARGE MAMMALS ; CONSERVATION ; CLIMATE ; PERFORMANCE ; SELECTION ; MODELS ; DISTRIBUTIONS
WOS类目	Biodiversity Conservation ; Ecology
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/215120
作者单位	Nelson Mandela Univ, Ctr African Conservat Ecol, Port Elizabeth, South Africa
推荐引用方式 GB/T 7714	Monsarrat, Sophie,Boshoff, Andre F.,Kerley, Graham I. H.. Accessibility maps as a tool to predict sampling bias in historical biodiversity occurrence records[J],2019,42(1):125-136.
APA	Monsarrat, Sophie,Boshoff, Andre F.,&Kerley, Graham I. H..(2019).Accessibility maps as a tool to predict sampling bias in historical biodiversity occurrence records.ECOGRAPHY,42(1),125-136.
MLA	Monsarrat, Sophie,et al."Accessibility maps as a tool to predict sampling bias in historical biodiversity occurrence records".ECOGRAPHY 42.1(2019):125-136.