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The spatial influences of organic farming and environmental heterogeneity on biodiversity in South Australian landscapes

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

The potential link between certified organic farming and biodiversity and conservation remains unexplored in Australia, despite the country having the world's largest amount of certified organic farmland and unprecedented biodiversity loss. This study modelled the spatial effects of organic farming (intensity of local farming systems), environmental heterogeneity, and urbanisation on two widely studied environmental taxa — vascular plant and bird species richness (surrogate measures of biodiversity) — in South Australia, using a unique certified organic farming postcode level dataset from 2001 to 2016 (N = 5440). The spatial Durbin error model results confirmed the positive spatial congruence of organic farming with greater vascular plant species richness, whereas only weak to no significant evidence was found for bird species richness. Landscape features (habitat heterogeneity) and green vegetation (a proxy indicator of resource availability) – rather than organic farming – appeared to be most associated with bird species richness. Both plant and bird species richness were positively associated with habitat heterogeneity (land cover diversity and elevation range), plant productivity and proportion of conservation land and water bodies. Whereas, increased anthropogenic land use for cropping and horticultural farming, soil type diversity and proximity to the coast significantly reduced species richness of both taxa. The results suggest that a multi-scale spatially refined biodiversity conservation strategy, with spatial targeting that promotes low intensive farming systems and increases landscape heterogeneity to provide quality habitat (a whole of landscape approach by incorporating private agricultural landholders), could be beneficial for biodiversity conservation.

Original languageEnglish
Article number116414
Number of pages16
JournalJournal of Environmental Management
Volume324
DOIs
Publication statusPublished - 15 Dec 2022
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  2. SDG 14 - Life Below Water
    SDG 14 Life Below Water
  3. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • Environmental heterogeneity
  • Organic farming
  • South Australia
  • Spatial durbin error model
  • Vascular plant and bird richness

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