干旱区生态环境知识资源中心(Arid): Known unknowns: Filling the gaps in scientific knowledge production in the Caatinga

Arid

DOI	10.1371/journal.pone.0219359
	Known unknowns: Filling the gaps in scientific knowledge production in the Caatinga
	Lessaid, Thaina 1; dos Santos, Janisson W.1; Correia, Ricardo A.1,2,3; Ladle, Richard J.1; Malhado, Ana C. M.1
通讯作者	Lessaid, Thaina
来源期刊	PLOS ONE
ISSN	1932-6203
出版年	2019
卷号	14 期号:7
英文摘要	The Caatinga is an ecologically unique semi-arid region of northeast Brazil characterized by high levels of endemism and severe anthropogenic threats from agricultural development and climate change. It is also one of the least known biomes in Brazil due to a combination of inadequate investment, low regional research capacity and difficult working conditions. However, while the lack of scientific knowledge of the Caatinga is well known, the spatial and temporal distribution of knowledge production has not been investigated. This is important because such biases undermine the development of effective conservation policy and practice and increase the uncertainty associated with conservation actions. Here, we map the geography of conservation knowledge production in the Caatinga and use an innovative hurdle model to identify the presumptive factors driving these patterns. Our analysis revealed strong geographic patterns, with research sites concentrated in the east of the region and in areas close to roads and research centres. There was also a positive association between conservation knowledge production and risk of desertification, indicating that conservation scientists are responding to conservation challenges faced by Caatinga's fauna and flora arising from climate change. Our results also highlight the pivotal role of pioneer scientists (those who develop research sites in previously unstudied/understudied areas) in determining the future geographic patterns of knowledge production. We conclude our article with a brief discussion of potential policies for increasing the spatial representativeness of conservation research in this remarkable ecosystem.
类型	Article
语种	英语
国家	Brazil ; Portugal
开放获取类型	Green Published, gold, Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000484927300061
WOS关键词	MULTIMODEL INFERENCE ; SAMPLING EFFORT ; BIODIVERSITY ; BIAS ; SHORTFALLS ; AMAZON ; PLANTS ; NEEDS
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218118
作者单位	1.Univ Fed Alagoas, Inst Biol Sci & Hlth, Campus AC Simoes,Ave Lourival Melo Mota S-N, Maceio, AL, Brazil; 2.Univ Aveiro, DBIO, Aveiro, Portugal; 3.Univ Aveiro, CESAM Ctr Environm & Marine Studies, Aveiro, Portugal
推荐引用方式 GB/T 7714	Lessaid, Thaina,dos Santos, Janisson W.,Correia, Ricardo A.,et al. Known unknowns: Filling the gaps in scientific knowledge production in the Caatinga[J],2019,14(7).
APA	Lessaid, Thaina,dos Santos, Janisson W.,Correia, Ricardo A.,Ladle, Richard J.,&Malhado, Ana C. M..(2019).Known unknowns: Filling the gaps in scientific knowledge production in the Caatinga.PLOS ONE,14(7).
MLA	Lessaid, Thaina,et al."Known unknowns: Filling the gaps in scientific knowledge production in the Caatinga".PLOS ONE 14.7(2019).