Known unknowns: Filling the gaps in scientific knowledge production in the Caatinga

PLoS One. 2019 Jul 3;14(7):e0219359. doi: 10.1371/journal.pone.0219359. eCollection 2019.

Abstract

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biodiversity
  • Brazil
  • Conservation of Natural Resources
  • Ecosystem*
  • Knowledge*
  • Models, Theoretical
  • Publications

Grants and funding

This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) Finance Code 001 (fellowships to TLPS e JWS) and was also funded by the Brazilian National Council for Scientific and Technological Development CNPq (#448688/2014-0). RAC is currently funded by a post-doctoral grant from FCT – Fundação para a Ciência e Tecnologia (SFRH/BPD/118635/2016). This work also benefited from financial support from CESAM (UID/AMB/50017 –POCI-01-0145-FEDER-007638), FCT/MCTES through national funds (PIDDAC), and co-funding by the FEDER, within the PT2020 Partnership Agreement and Compete 2020. RJL and ACMM are supported by CNPq (#310953/2014-6 and #310349/2015-0). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.