Scholarlink

<p>Conservation planning must allocate limited resources under substantial uncertainty about species interactions. A central dilemma is whether prioritization should be guided by phylogenetic diversity (PD), which preserves long-term evolutionary potential, or functional diversity (FD), which supports current ecosystem functioning. Because PD and FD are often weakly correlated, fixed prioritization schemes can misallocate effort when ecological information is incomplete. We develop a dynamic allocation framework in which the conservation objective is fixed, but the biodiversity proxy guiding decisions adapts to the level of interaction knowledge. When interaction information is limited, PD-based rankings are more robust to uncertainty; as interaction knowledge accumulates, rankings based on FD become increasingly reliable. We evaluate this framework using a 148-year Northeast Atlantic fish stomach time series and simulations on synthetic food webs. Across both empirical and simulated ecosystems, the adaptive strategy consistently produces higher post- disturbance diversity than fixed-weight PD–FD strategies and no-intervention baselines. This indicates that the PD–FD trade-off should be conditioned on the prevailing level of ecological knowledge, rather than fixed ex ante.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Treating knowledge as a conservation asset to resolve present–future biodiversity trade-offs

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年6月25日

查看全文
  • Muhammad Umer Gurchani,
  • Jose Montoya,
  • Sacha Bourgeois-Gironde

摘要

Conservation planning must allocate limited resources under substantial uncertainty about species interactions. A central dilemma is whether prioritization should be guided by phylogenetic diversity (PD), which preserves long-term evolutionary potential, or functional diversity (FD), which supports current ecosystem functioning. Because PD and FD are often weakly correlated, fixed prioritization schemes can misallocate effort when ecological information is incomplete. We develop a dynamic allocation framework in which the conservation objective is fixed, but the biodiversity proxy guiding decisions adapts to the level of interaction knowledge. When interaction information is limited, PD-based rankings are more robust to uncertainty; as interaction knowledge accumulates, rankings based on FD become increasingly reliable. We evaluate this framework using a 148-year Northeast Atlantic fish stomach time series and simulations on synthetic food webs. Across both empirical and simulated ecosystems, the adaptive strategy consistently produces higher post- disturbance diversity than fixed-weight PD–FD strategies and no-intervention baselines. This indicates that the PD–FD trade-off should be conditioned on the prevailing level of ecological knowledge, rather than fixed ex ante.