GBIF information is not enough: national database improves the inventory completeness of Amazonian epiphytes

Biodiversity and Conservation, Journal Year: 2022, Volume and Issue: 31(11), P. 2797 - 2815

Published: July 29, 2022

Language: Английский

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Monitoring soil fauna with ecoacoustics

Proceedings of the Royal Society B Biological Sciences, Journal Year: 2024, Volume and Issue: 291(2030)

Published: Sept. 1, 2024

Ecoacoustics—or acoustic ecology—aids in monitoring elusive and protected species several ecological contexts. For example, passive (PAM), which involves autonomous sensors, is widely used to detect various taxonomic groups terrestrial aquatic ecosystems, from birds bats fish cetaceans. Here, we illustrate the potential of ecoacoustics monitor soil biodiversity (specifically fauna)—a crucial endeavour given that 59% live yet 75% soils are affected by degradation. We describe sources sound (e.g. biological, geological anthropogenic) ability technology differentiate between these sounds, highlighting opportunities current gaps knowledge. also propose a roadmap for future development optimized hardware, analytical pipelines experimental approaches. Soil an emerging field with considerable improve ‘soil health’ diagnostics. Indeed, early studies suggest can be successfully applied ecosystems grasslands, temperate, tropical arid forests) land uses agriculture, viticulture, natural restored ecosystems). Given low cost, minimal intrusiveness, effectiveness supporting assessments biosecurity risks, advocate advancement management applications.

Language: Английский

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Geographic range estimates and environmental requirements for the harpy eagle derived from spatial models of current and past distribution

Ecology and Evolution, Journal Year: 2020, Volume and Issue: 11(1), P. 481 - 497

Published: Dec. 15, 2020

Abstract Understanding species–environment relationships is key to defining the spatial structure of species distributions and develop effective conservation plans. However, for many species, this baseline information does not exist. With reliable presence data, models that predict geographic ranges identify environmental processes regulating distribution are a cost‐effective rapid method achieve this. Yet these lacking rare threatened particularly in tropical regions. The harpy eagle ( Harpia harpyja ) Neotropical forest raptor concern with continental across lowland forests Central South America. Currently, faces threats from habitat loss persecution categorized as Near‐Threatened by International Union Conservation Nature (IUCN). Within point process modeling (PPM) framework, we use presence‐only occurrences climatic topographical predictors estimate current past define requirements using Ecological Niche Factor Analysis. PPM prediction had high calibration accuracy (Continuous Boyce Index = 0.838) was robust null expectations (pROC ratio 1.407). Three contributed 96% prediction, Climatic Moisture most important (72.1%), followed minimum temperature warmest month (15.6%) Terrain Roughness (8.3%). Assessing space confirmed same explaining distribution, along precipitation wettest month. Our reclassified binary model estimated range size 11% smaller than IUCN polygon. Paleoclimatic projections combined predicted stable refugia central Amazon, Guyana, eastern Colombia, Panama. We propose data‐driven complement despite its highly specialized specific requirements.

Language: Английский

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Deriving indicators of biodiversity change from unstructured community‐contributed data

Oikos, Journal Year: 2021, Volume and Issue: 130(8), P. 1225 - 1239

Published: June 4, 2021

Opportunistic and unstructured observations of biodiversity crowdsourced from volunteers, community, citizen scientists make up an increasingly large proportion our global knowledge. This incredible wealth information exists in real time at both high resolutions extents space, time, taxonomy, thus holding huge potential to fill gaps monitoring coverage a cost‐effective way. Yet, the full these data provide essential indicators change for research management remains mostly unrealized, part due prevailing perception that lack standardization presents unsurmountable barrier. In this paper, we overview main challenges working with community‐contributed synthesize four fundamental approaches overcome extract useful inferences change, namely: 1) reverse‐engineering survey structure; 2) borrowing strength across taxa; 3) modeling observation process, and; 4) integrating standardized sources. To illustrate each approaches, examples comparing via iNaturalist long‐term surveys subset rocky intertidal organisms on California coast 2010 2019. We conclude by highlighting ways forward successful integration within ecosystem tools. Our ultimate goal is update among researchers practitioners are too noisy use, help establish stream as key tool management.

Language: Английский

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Bird strikes at commercial airports explained by citizen science and weather radar data

Journal of Applied Ecology, Journal Year: 2021, Volume and Issue: 58(10), P. 2029 - 2039

Published: Aug. 18, 2021

Abstract Aircraft collisions with birds span the entire history of human aviation, including fatal during some first powered flights. Much effort has been expended to reduce such collisions, but increased knowledge about bird movements and species occurrence could dramatically improve decision support proactive measures them. Migratory pose a unique, often overlooked, threat aviation that is particularly difficult for individual airports monitor predict vary extensively in space time at local scales airport responses. We use two publicly available datasets, radar data from US NEXRAD network characterizing migration eBird collected by citizen scientists map composition low expenditures high temporal spatial resolution relative other large‐scale survey methods. As test case, we compare results weather distributions detailed strike records three major New York airports. show radar‐based estimates intensity can accurately probability strikes, 80% variation strikes across year explained average amount migratory captured on radar. also eBird‐based can, using species’ body mass flocking propensity, when most damaging occur. Synthesis applications . By better understanding where different occur, world seasonal periods collision risks greater resolution; predictions include potential severe may Our highlight power federating datasets movement distribution developing more taxonomically ecologically tuned models likelihood occurring severity strikes.

Language: Английский

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