Accurately predicting rare and poorly detectable species habitat for spatial protection

Journal of Applied Ecology, Год журнала: 2024, Номер 61(7), С. 1673 - 1690

Опубликована: Май 28, 2024

Abstract With the loss of biodiversity worldwide, understanding species distribution is essential for management, but modelling rare and poorly detectable can be challenging because data gaps observer biases. Over‐ or under‐predictions are frequent, leading to uncertainty in spatial management measures, particularly highly mobile data‐poor species. Here we developed a ‘Combined Model Accurate Prediction’ accurately predict This framework aims improve accuracy both predicted ‘core’ ‘unsuitable’ habitats, help support managers with protection measures. We tested combined approach on 11 diadromous fish during their at‐sea life history phase used model analyse adequacy existing marine protected areas (MPAs) these fish. The modelled habitats high accuracy. Of seven modelled, most MPAs designated protect outside core habitats. Furthermore, when habitat was within an MPA, only 50% this area them. These results highlight inadequate networks threatened Synthesis applications . Being able critical reliable transparent conservation assessments. By accurate models that minimise omission commission rates respectively, measures could targeted specific maximise detected method therefore helps impacts stakeholders, while providing increased confidence predictions.

Язык: Английский

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TreeGOER: a database with globally observed environmental ranges for 48,129 tree species

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Май 15, 2023

Abstract The BIOCLIM algorithm provides a straightforward method to estimate the effects of climate change on distribution species. Estimating core ranges species from 5% and 95% quantiles bioclimatic variables, remains widely used even when more sophisticated methods modelling have become popular. Where sufficient representative observations are available, I expect that correctly identifies locations would not be suitable in future climate. To accommodate investigations based for 48,129 tree (a substantial subset known species), developed TreeGOER (Tree Globally Observed Environmental Ranges) database, providing information environmental 38 bioclimatic, 8 soil 3 topographic variables. database can accessed from: https://doi.org/10.5281/zenodo.7922928 . Statistics include were estimated cleaned taxonomically standardized occurrence data set with different outlier detection, estimates roughly 45% being 20 or observation records. Inferred along global temperature moisture index gradients across continents follow diversity such as its highest levels moist tropical forests ‘odd man out’ pattern lower Africa. demonstrate how analyses large numbers easily done R , here present two case studies. first study investigated latitudinal trends vulnerability compared these previous results obtained urban trees. second focused areas, longitudinal zones patterns index. is expected benefit researchers conducting biogeographical research wide range at variety spatial temporal scales.

Язык: Английский

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Where the toad crosses the road: multi-method and cross-taxa Texas herpetofauna roadkill modeling for conservation planning

Biodiversity and Conservation, Год журнала: 2024, Номер 33(6-7), С. 1909 - 1939

Опубликована: Апрель 22, 2024

Язык: Английский

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eLife assessment: Boosting biodiversity monitoring using smartphone-driven, rapidly accumulating community-sourced data

Опубликована: Март 26, 2024

Ecosystem services, which derive in part from biological diversity, are a fundamental support for human society. However, activities causing harm to biodiversity, ultimately endangering these critical ecosystem services. Halting nature loss and mitigating impacts necessitates comprehensive biodiversity distribution data, requirement implementing the Kunming-Montreal Global Biodiversity Framework. To efficiently collect species observations public, we launched 'Biome' mobile application Japan. By employing identification algorithms gamification elements, app has gathered >6M since its launch 2019. community-sourced data often exhibit spatial taxonomic biases. Species models (SDMs) enable infer while accommodating such bias. We investigated Biome data's quality how incorporating influences performance of SDMs. accuracy exceeds 95% birds, reptiles, mammals, amphibians, but seed plants, molluscs, fishes scored below 90%. The distributions 132 terrestrial plants animals across Japan were modeled, their was improved by our into traditional survey data. For endangered species, required >2,000 records build accurate (Boyce index ≥ 0.9), though only ca.300 when two sources blended. unique may explain this improvement: covers urban-natural gradients uniformly, is biased towards natural areas. Combining multiple offers insights Japan, aiding protected area designation service assessment. Providing platform accumulate improving processing protocol will contribute not conserving ecosystems also detecting changes testing ecological theories.

Язык: Английский

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Boosting biodiversity monitoring using smartphone-driven, rapidly accumulating community-sourced data

Опубликована: Март 26, 2024

Ecosystem services, which derive in part from biological diversity, are a fundamental support for human society. However, activities causing harm to biodiversity, ultimately endangering these critical ecosystem services. Halting nature loss and mitigating impacts necessitates comprehensive biodiversity distribution data, requirement implementing the Kunming-Montreal Global Biodiversity Framework. To efficiently collect species observations public, we launched ‘ Biome ’ mobile application Japan. By employing identification algorithms gamification elements, app has gathered >6M since its launch 2019. community-sourced data often exhibit spatial taxonomic biases. Species models (SDMs) enable infer while accommodating such bias. We investigated data’s quality how incorporating influences performance of SDMs. accuracy exceeds 95% birds, reptiles, mammals, amphibians, but seed plants, molluscs, fishes scored below 90%. The distributions 132 terrestrial plants animals across Japan were modeled, their was improved by our into traditional survey data. For endangered species, required >2,000 records build accurate (Boyce index ≥ 0.9), though only ca.300 when two sources blended. unique may explain this improvement: covers urban-natural gradients uniformly, is biased towards natural areas. Combining multiple offers insights Japan, aiding protected area designation service assessment. Providing platform accumulate improving processing protocol will contribute not conserving ecosystems also detecting changes testing ecological theories.

Язык: Английский

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