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Novel community data in ecology-properties and prospects
New technologies for monitoring biodiversity such as environmental (e) DNA, passive
acoustic monitoring, and optical sensors promise to generate automated spatiotemporal …
acoustic monitoring, and optical sensors promise to generate automated spatiotemporal …
Data-driven causal analysis of observational biological time series
Complex systems are challenging to understand, especially when they defy manipulative
experiments for practical or ethical reasons. Several fields have developed parallel …
experiments for practical or ethical reasons. Several fields have developed parallel …
A new joint species distribution model for faster and more accurate inference of species associations from big community data
Joint species distribution models (JSDMs) explain spatial variation in community
composition by contributions of the environment, biotic associations and possibly spatially …
composition by contributions of the environment, biotic associations and possibly spatially …
Causality-based drought propagation analyses among meteorological drought, hydrologic drought, and water shortage
JT Shiau - Science of The Total Environment, 2023 - Elsevier
Droughts propagate through the hydrologic cycle, leading to water deficiencies in various
hydro-climate variables, such as rainfall, streamflow, soil moisture, and/or groundwater …
hydro-climate variables, such as rainfall, streamflow, soil moisture, and/or groundwater …
Radiation, air temperature, and soil water availability drive tree water deficit across temporal scales in Canada's western boreal forest
Abstract Changes are projected for the boreal biome with complex and variable effects on
forest vegetation including drought‐induced tree mortality and forest loss. With soil and …
forest vegetation including drought‐induced tree mortality and forest loss. With soil and …
Population impact of fine particulate matter on tuberculosis risk in China: a causal inference
JJ Mao, HL Chen, CH Li, JW Lu, YY Gu, J Feng… - BMC Public Health, 2023 - Springer
Background Previous studies have suggested the potential association between air
pollution and tuberculosis incidence, but this association remains inconclusive and …
pollution and tuberculosis incidence, but this association remains inconclusive and …
Metabarcoding advances agricultural invertebrate biomonitoring by enhancing resolution, increasing throughput and facilitating network inference
BSJ Hawthorne, JP Cuff, LE Collins… - Agricultural and Forest …, 2025 - Wiley Online Library
Biomonitoring of agriculturally important insects is increasingly vital given our need to
understand:(a) the severity of impacts by pests and pathogens on crop yield and health and …
understand:(a) the severity of impacts by pests and pathogens on crop yield and health and …
Nonlinear riparian interactions drive changes in headwater streamflow
As drought and wildfire frequency increase across the western United States, our ability to
predict how water resources will respond to these disturbances depends on our …
predict how water resources will respond to these disturbances depends on our …
The insight of why: Causal inference in Earth system science
The utilization of big Earth data has provided insights into the planet we inhabit in
unprecedented dimensions and scales. Unraveling the concealed causal connections within …
unprecedented dimensions and scales. Unraveling the concealed causal connections within …
A roadmap for biomonitoring in the 21st century: merging methods into metrics via ecological networks
The urgent need for highly resolved and broad biomonitoring has never been greater as
challenges such as climate change, agricultural intensification and biodiversity loss …
challenges such as climate change, agricultural intensification and biodiversity loss …