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May 17, 2026Environmental Conservation0 citationsOpen Access

Chronic underfunding of protected areas in a megadiverse country: spatial, temporal and socioeconomic patterns from Brazil

HCHelenilza Ferreira Albuquerque CunhaLBLuís Claudio Fernandes BarbosaACAlan Cavalcanti da Cunha

Key Points

  • This study examines funding deficits in Brazilian protected areas (PAs) over a decade to understand socioeconomic predictors.
  • Analyzed funding data from 300 Brazilian federal PAs from 2014 to 2023.
  • Employed spatial Durbin error models to assess funding shortfalls and predictors.
  • Decomposed socioeconomic effects into direct and spillover components.
  • 72% of PAs faced deficits totaling 958 million international dollars in 2023.
  • Larger PAs exhibited greater deficits; older PAs showed smaller deficits.
  • Higher population density correlated with lower deficits, highlighting political visibility.

Abstract

Summary Persistent funding shortfalls undermine protected areas (PAs) worldwide, yet few studies analyse these patterns across space and time. We examined funding deficits in 300 Brazilian federal PAs from 2014 to 2023 using spatial Durbin error models. Deficits were measured as the gap between evidence-based minimum management costs and actual spending. We analysed how PA age, size, management group, ecological region, population density and per capita GDP predict deficits, decomposing socioeconomic effects into direct and spillover components. In 2023, 72% of the PAs faced deficits totalling 958 million international dollars, despite a 30% investment increase over the decade. Larger PAs had greater shortfalls; older PAs had smaller ones. Amazon PAs averaged 79.2% deficits versus 27.6% in the Atlantic Forest. No significant difference emerged between management types. Higher population density predicted lower deficits, probably reflecting greater political visibility near urban centres. No direct local GDP effect was detected, but spillovers from neighbouring high-income regions suggest regional prosperity influences PA funding through spatial networks. Funding deteriorated in 2020–2021 amid fiscal contractions and policy shifts, then recovered in 2022–2023. These findings reveal deep structural inequities, particularly in the Amazon, highlighting the need for transparent national PA financing systems.

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Cite This Study

Cunha et al. (2026) studied this question.

synapsesocial.com/papers/6a095bef7880e6d24efe1ccahttps://doi.org/10.1017/s037689292610040x
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