Pollination service delivery for European cropsChallenges and opportunities

  1. Sandra Nogué
  2. Peter R. Long
  3. Amy E. Eycott
  4. Lea de Nascimento
  5. Gillian Petrokofsky
  6. Vigdis Vandvik
  7. Kathy J. Willis
  8. José María Fernández-Palacios Martínez
Journal:
Ecological Economics

ISSN: 1873-6106

Year of publication: 2016

Issue: 128

Pages: 1-7

Type: Article

Export: RIS
DOI: 10.1016/j.ecolecon.2016.03.023 GOOGLE SCHOLAR

Metrics

Journal Citation Reports

  • Year 2016
  • Journal Impact Factor: 2.965
  • Best Quartile: Q1
  • Area: ENVIRONMENTAL STUDIES Quartile: Q1 Rank in area: 17/105 (Ranking edition: SSCI)
  • Area: ECONOMICS Quartile: Q1 Rank in area: 28/347 (Ranking edition: SSCI)
  • Area: ECOLOGY Quartile: Q2 Rank in area: 44/153 (Ranking edition: SCIE)
  • Area: ENVIRONMENTAL SCIENCES Quartile: Q2 Rank in area: 68/229 (Ranking edition: SCIE)

SCImago Journal Rank

  • Year 2016
  • SJR Journal Impact: 1.786
  • Best Quartile: Q1
  • Area: Economics and Econometrics Quartile: Q1 Rank in area: 90/647
  • Area: Environmental Science (miscellaneous) Quartile: Q1 Rank in area: 16/335

CIRC

  • Social Sciences: A+

CiteScore

  • Year 2016
  • CiteScore of the Journal : 6.2
  • Area: Economics and Econometrics Percentile: 95
  • Area: Environmental Science (all) Percentile: 90

Abstract

Abstract Crop pollination by bees has long been recognized as an ecosystem service of huge economic value; a large number of food crops depend upon pollination. Features across landscapes that are important for pollination delivery include: nesting habitats, floral resource availability at foraging distance, and climate. The conditions for presence/absence of pollinators are therefore complex and rely upon a combination of biotic and abiotic factors. To date there has been no easily available method for landowners to determine the potential of pollination delivery across the land effectively and rapidly. In this paper we develop a method that uses freely available datasets to remotely estimate the relative provision of pollination service delivery provided by bees across Europe at a 300 m-pixel resolution. We then identify the potential pollination delivery and efficiency across Europe at country and regional level. This study illustrates an approach that obtains a first approximation for land managers to identify potential areas across landscapes to protect in order to enhance pollination service delivery.