Academic Journal
Sampling strategy matters to accurately estimate response curves' parameters in species distribution models
| العنوان: | Sampling strategy matters to accurately estimate response curves' parameters in species distribution models |
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| المؤلفون: | Bazzichetto, Manuele, Lenoir, Jonathan, Re, Daniele Da, Tordoni, Enrico, Rocchini, Duccio, Malavasi, Marco, Barták, Vojtěch, Sperandii, Marta G. |
| المساهمون: | European Commission, Estonian Research Council |
| بيانات النشر: | John Wiley & Sons |
| سنة النشر: | 2023 |
| المجموعة: | Digital.CSIC (Consejo Superior de Investigaciones Científicas / Spanish National Research Council) |
| مصطلحات موضوعية: | Bias, Ecological niche breadth, Environmental space, Realised niche, Root mean squared error, Sampling bias, Simulation, Virtual species |
| الوصف: | [Aim]: Assessing how different sampling strategies affect the accuracy and precision of species response curves estimated by parametric species distribution models. ; [Major Taxa Studied]: Virtual plant species. ; [Location]: Abruzzo (Italy). ; [Time Period]: Timeless (simulated data). ; [Methods]: We simulated the occurrence of two virtual species with different ecology (generalist vs specialist) and distribution extent. We sampled their occurrence following different sampling strategies: random, stratified, systematic, topographic, uniform within the environmental space (hereafter, uniform) and close to roads. For each sampling design and species, we ran 500 simulations at increasing sampling efforts (total: 42,000 replicates). For each replicate, we fitted a binomial generalised linear model, extracted model coefficients for precipitation and temperature, and compared them with true coefficients from the known species' equation. We evaluated the quality of the estimated response curves by computing bias, variance and root mean squared error (RMSE). Additionally, we (i) assessed the impact of missing covariates on the performance of the sampling approaches and (ii) evaluated the effect of incompletely sampling the environmental space on the uniform approach. ; [Results]: For the generalist species, we found the lowest RMSE when uniformly sampling the environmental space, while sampling occurrence data close to roads provided the worst performance. For the specialist species, all sampling designs showed comparable outcomes. Excluding important predictors similarly affected all sampling strategies. Sampling limited portions of the environmental space reduced the performance of the uniform approach, regardless of the portion surveyed. ; [Main Conclusions]: Our results suggest that a proper estimate of the species response curve can be obtained when the choice of the sampling strategy is guided by the species' ecology. Overall, uniformly sampling the environmental space seems more efficient for species with wide ... |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 1466-822X 1466-8238 |
| Relation: | #PLACEHOLDER_PARENT_METADATA_VALUE#; info:eu-repo/grantAgreement/EC/HE/101066324; info:eu-repo/grantAgreement/EC/HE/101090344; Publisher's version; The underlying dataset has been published as supplementary material of the article in the publisher platform at 10.1111/geb.13725; https://doi.org/10.1111/geb.13725; Sí; Global Ecology and Biogeography 32(10): 1717-1729 (2023); http://hdl.handle.net/10261/350851 |
| DOI: | 10.1111/geb.13725 |
| الاتاحة: | http://hdl.handle.net/10261/350851 https://doi.org/10.1111/geb.13725 |
| Rights: | open |
| رقم الانضمام: | edsbas.996FD46B |
| قاعدة البيانات: | BASE |
| تدمد: | 1466822X 14668238 |
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| DOI: | 10.1111/geb.13725 |