What question did this study set out to answer?

To establish a species-informed, weighted ecological network resilience framework and evaluate spatial optimization strategies for urban ecological governance.

August 20, 2026GIScience & Remote SensingOpen Access

A novel framework for assessing and enhancing urban ecological network resilience: integration of key species information and deduction of spatial optimization pattern

View Full Paper

Ask AI

Bookmark

Authors

LPLiwei Pang JLJin Lin YWYilun Wu

Discussion

Member takes

Overview

Modeling study reveals that incorporating species dispersal costs exposes greater functional vulnerability in urban ecological networks, highlighting the need for functional spatial optimization.

Key Points

To establish a species-informed, weighted ecological network resilience framework and evaluate spatial optimization strategies for urban ecological governance.
Constructed a weighted ecological network by embedding species-specific dispersal costs into corridor weights within the Urban Agglomeration around Hangzhou Bay.
Developed three functional resilience metrics—the optimal connected subgraph coefficient (S'), ecological efficiency index (E'), and ecological resilience index (ERI)—to evaluate resilience under probabilistic and deterministic attack scenarios.
Benchmarked eight spatial synergistic optimization strategies to determine the most effective approach for boosting network resilience.
Identified 40, 160, 95, 73, and 65 corridors across levels 1 to 5 by internalizing species dispersal costs into network weighting.
Found that the ecological resilience index drops to 0.1 at node removal rates of 0.6 under probabilistic attacks and 0.3 under deterministic attacks, demonstrating that structural stability metrics underestimate functional vulnerability.
Determined that a global quantity-priority strategy (G_no) optimizes spatial network performance, raising the resilience threshold from 0.23 to 0.4 (an increase of approximately 74%).

Cite This Study

Pang et al. (2026) studied this question.

synapsesocial.com/papers/6a86b4cb8a91293e6a1cc4ea https://doi.org/10.1080/15481603.2026.2713316

View Full Paper

Ask AI

Bookmark

August 20, 2026GIScience & Remote SensingOpen Access

A novel framework for assessing and enhancing urban ecological network resilience: integration of key species information and deduction of spatial optimization pattern

View Full Paper

Ask AI

Bookmark

Authors

LPLiwei Pang JLJin Lin YWYilun Wu

Discussion

Member takes

Overview

Modeling study reveals that incorporating species dispersal costs exposes greater functional vulnerability in urban ecological networks, highlighting the need for functional spatial optimization.

Key Points

To establish a species-informed, weighted ecological network resilience framework and evaluate spatial optimization strategies for urban ecological governance.
Constructed a weighted ecological network by embedding species-specific dispersal costs into corridor weights within the Urban Agglomeration around Hangzhou Bay.
Developed three functional resilience metrics—the optimal connected subgraph coefficient (S'), ecological efficiency index (E'), and ecological resilience index (ERI)—to evaluate resilience under probabilistic and deterministic attack scenarios.
Benchmarked eight spatial synergistic optimization strategies to determine the most effective approach for boosting network resilience.
Identified 40, 160, 95, 73, and 65 corridors across levels 1 to 5 by internalizing species dispersal costs into network weighting.
Found that the ecological resilience index drops to 0.1 at node removal rates of 0.6 under probabilistic attacks and 0.3 under deterministic attacks, demonstrating that structural stability metrics underestimate functional vulnerability.
Determined that a global quantity-priority strategy (G_no) optimizes spatial network performance, raising the resilience threshold from 0.23 to 0.4 (an increase of approximately 74%).

Cite This Study

Pang et al. (2026) studied this question.

synapsesocial.com/papers/6a86b4cb8a91293e6a1cc4ea https://doi.org/10.1080/15481603.2026.2713316

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

View Full Paper

Ask AI

Bookmark