A review of evidence about use and performance of species distribution modelling ensembles like BIOMOD

Diversity and Distributions, Journal Year: 2019, Volume and Issue: 25(5), P. 839 - 852

Published: Jan. 22, 2019

Abstract Aim The idea of combining predictions from different models into an ensemble has gained considerable popularity in species distribution modelling, partly due to free and comprehensive software such as the R package BIOMOD. However, despite proliferation models, we lack oversight how where they are used for modelling distributions, well perform. Here, present overview. Location Global. Methods Since BIOMOD is freely available widely by modellers, focused on articles that apply BIOMOD, filtering initial 852 papers identified our structured literature search a relevant final subset 224 eligible peer‐reviewed journal articles. Results BIOMOD‐based ensembles across many taxa locations, with terrestrial plants being most represented group ( n = 72) Europe continent 106). These studies often focus forecasting distributions future 109), commonly use presence‐only data 139) climatic environmental predictors 219). An average six ensembles, approximately half weight contributions their cross‐validation performance. discussion about choices made process unambiguous information performance versus individual limited. independent validate model particularly uncommon. Main conclusions We document breadth applications, but could not draw strong quantitative predictive reported. Understanding best when important enabling applications. To enable this objective be achieved, provide recommendations thorough reporting practices workflow.

Language: Английский

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Paintings predict the distribution of species, or the challenge of selecting environmental predictors and evaluation statistics

Global Ecology and Biogeography, Journal Year: 2017, Volume and Issue: 27(2), P. 245 - 256

Published: Nov. 22, 2017

Abstract Aim Species distribution modelling, a family of statistical methods that predicts species distributions from set occurrences and environmental predictors, is now routinely applied in many macroecological studies. However, the reliability evaluation metrics usually employed to validate these models remains questioned. Moreover, emergence online databases variables with global coverage, especially climatic, has favoured use same standard predictors. Unfortunately, selection too rarely based on careful examination species' ecology. In this context, our aim was highlight importance selecting ad hoc models, assess ability classical statistics identify no biological realism. Innovation First, we reviewed current practices field modelling terms variable model evaluation. Then, computed 509 European using pseudo‐predictors derived paintings or real climatic topographic We calculated performance area under receiver operating curve (AUC) true skill (TSS), partitioning into training test data different levels spatial independence. Most were classified as good sometimes even better evaluated than variables. average they discriminated when allowed testing for transferability. Main conclusions These findings confirm crucial inability significance models. recommend researchers carefully select according ecology evaluate only their capacity be transfered distant areas. Nevertheless, evaluations must still interpreted great caution.

Language: Английский

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A comparison between Ensemble and MaxEnt species distribution modelling approaches for conservation: A case study with Egyptian medicinal plants

Ecological Informatics, Journal Year: 2020, Volume and Issue: 60, P. 101150 - 101150

Published: Sept. 3, 2020

Language: Английский

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Identifying long-term stable refugia for relict plant species in East Asia

Nature Communications, Journal Year: 2018, Volume and Issue: 9(1)

Published: Oct. 22, 2018

Today East Asia harbors many "relict" plant species whose ranges were much larger during the Paleogene-Neogene and earlier. The ecological climatic conditions suitable for these relict have not been identified. Here, we map abundance distribution patterns of species, showing high in humid subtropical/warm-temperate forest regions. We further use Ecological Niche Modeling to show that align with maps climate refugia, predict species' chances persistence given future changes expected Asia. By 2070, potentially areas richness will decrease, although as a whole probably expand. identify southwestern China northern Vietnam long-term climatically stable refugia likely preserve ancient lineages, highlighting could be prioritized conservation such species.

Language: Английский

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Using species distribution models at local scale to guide the search of poorly known species: Review, methodological issues and future directions

Ecological Modelling, Journal Year: 2018, Volume and Issue: 385, P. 124 - 132

Published: Aug. 1, 2018

Language: Английский

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Comparison between optimized MaxEnt and random forest modeling in predicting potential distribution: A case study with Quasipaa boulengeri in China

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 842, P. 156867 - 156867

Published: June 22, 2022

Language: Английский

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flexsdm: An r package for supporting a comprehensive and flexible species distribution modelling workflow

Methods in Ecology and Evolution, Journal Year: 2022, Volume and Issue: 13(8), P. 1661 - 1669

Published: April 20, 2022

Abstract Species distribution models (SDM) are widely used in diverse research areas because of their simple data requirements and application versatility. However, SDM outcomes sensitive to input methodological choices. Such sensitivity applications mean that flexibility is necessary create SDMs with tailored protocols for a given set model use. We introduce the r package flexsdm supporting flexible species modelling workflows. functions arguments serve as building blocks construct specific protocol user's needs. The main features flexibility, integration other tools, simplicity objects returned function speed. As an illustration, we define complete workflow California red fir Abies magnifica . This provides by incorporating comprehensive tools structured three steps: (a) Pre‐modelling prepare input, example, sampling bias correction, pseudo‐absences background points, partitioning, reducing collinearity predictors. (b) Modelling allow fitting evaluating different approaches, including individual algorithms, tuned models, ensembles small ensemble models. (c) Post‐modelling include related models' predictions, interpolation overprediction correction. Because comprises large part process, from outlier detection users can delineate partial or workflows based on combination meet

Language: Английский

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Integrating citizen science and spatial ecology to inform management and conservation of the Italian seahorses

Ecological Informatics, Journal Year: 2023, Volume and Issue: 79, P. 102402 - 102402

Published: Dec. 1, 2023

Citizen science and spatial ecology analyses can inform species distributions, habitat preferences, threats in elusive endangered such as seahorses. Through a dedicated citizen survey submitted to the Italian diving centers, we collected 115 presence records of two seahorses occurring along coasts: Hippocampus hippocampus H. guttulatus. From this dataset, used 85 seahorse valitaded identify ecological features these poorly known quantify effects human activities on their suitability through geographic information systems distribution modelling. Our results indicated continuous suitable area for both coasts, with single major gap central Adriatic Sea (Emilia-Romagna Marche regions). They co-occurred most range, particularly southern Tyrrhenian niches resulted be significantly similar, although not equivalent. The least-cost paths were concentrated Italy (Apulia, Calabria, Sicily), suggesting that more data is needed improve resolution available information, especially northern Italy. Human influenced 35% 41% guttulatus, respectively, while only 25% 30% potential are protected by Italy's existing conservation system, accordance global average In particular, represents critical where occurrence lower anthropic impact higher. Considering all regions, fishing effort main activity impacting species. These findings will support implementation efficient actions. We encourage application interaction facilitate assessment sustainable management organisms.

Language: Английский

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The global distribution of plants used by humans

Science, Journal Year: 2024, Volume and Issue: 383(6680), P. 293 - 297

Published: Jan. 18, 2024

Plants sustain human life. Understanding geographic patterns of the diversity species used by people is thus essential for sustainable management plant resources. Here, we investigate global distribution 35,687 utilized spanning 10 use categories (e.g., food, medicine, material). Our findings indicate general concordance between and total diversity, supporting potential simultaneously conserving its contributions to people. Although Indigenous lands across Mesoamerica, Horn Africa, Southern Asia harbor a disproportionate plants, incidence protected areas negatively correlated with richness. Finding mechanisms preserve containing concentrations plants traditional knowledge must become priority implementation Kunming-Montreal Global Biodiversity Framework.

Language: Английский

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Top ten hazards to avoid when modeling species distributions: a didactic guide of assumptions, problems, and recommendations

Ecography, Journal Year: 2024, Volume and Issue: 2024(4)

Published: Jan. 31, 2024

Species distribution models, also known as ecological niche models or habitat suitability have become commonplace for addressing fundamental and applied biodiversity questions. Although the field has progressed rapidly regarding theory implementation, key assumptions are still frequently violated recommendations inadvertently overlooked. This leads to poor being published used in real‐world applications. In a structured, didactic treatment, we summarize what our view constitute ten most problematic issues, hazards, negatively affecting implementation of correlative approaches species modeling (specifically those that model by comparing environments species' occurrence records with background pseudoabsence sample). For each hazard, state relevant assumptions, detail problems arise when violating them, convey straightforward existing recommendations. We discuss five major outstanding questions active current research. hope this contribution will promote more rigorous these valuable stimulate further advancements.

Language: Английский

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