Weak dispersal and landscape size inevitably promote local biodiversity in heterogeneous metacommunities of competing species
De Laender F; Gonzalez A; Bleeckx O; Ebert D; Barabás G · 2026 · Preprint
WASTE classifies this as Methods Dead-End · AI classification, approximate
A method or design hit a limitation — check whether the same constraint applies to your setup.
Abstract (excerpt)
We provide a general theoretical explanation for a longstanding result in spatial ecology: weak dispersal among habitat patches promotes local biodiversity. Using analytical approximations of spatial Lotka–Volterra competition models, we…
Excerpt shown for reference under fair use — read the full paper at the publisher.
Hosted by the publisher — may require access.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
Estimation of minimal data sets sizes for machine learning predictions in digital mental health interventions
Methods Dead-EndComparing multiple comparisons: practical guidance for choosing the best multiple comparisons test
Methods Dead-EndMy pay beats his: Attachment anxiety increases yearly salary via intrasexual competition
Methods Dead-EndEstablishing the Minimum Clinically Significant Difference (MCID) and the Patient Acceptable Symptom Score (PASS) for the Hospital Anxiety and Depression Scale (HADS) in Patients with Rotator Cuff Disease and Shoulder Prosthesis
Methods Dead-EndCost-effectiveness of point-of-care viral load monitoring of antiretroviral therapy in resource-limited settings
Methods Dead-EndDigital Mapping of Soil Properties Using Ensemble Machine Learning Approaches in an Agricultural Lowland Area of Lombardy, Italy
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: Europe PMC · DOI 10.64898/2026.02.16.706088