Novel community data in ecology-properties and prospects

F Hartig, N Abrego, A Bush, JM Chase… - Trends in Ecology & …, 2024 - cell.com
New technologies for monitoring biodiversity such as environmental (e) DNA, passive
acoustic monitoring, and optical sensors promise to generate automated spatiotemporal …

Data-driven causal analysis of observational biological time series

AE Yuan, W Shou - Elife, 2022 - elifesciences.org
Complex systems are challenging to understand, especially when they defy manipulative
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

M Pichler, F Hartig - Methods in Ecology and Evolution, 2021 - Wiley Online Library
Joint species distribution models (JSDMs) explain spatial variation in community
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 …

Radiation, air temperature, and soil water availability drive tree water deficit across temporal scales in Canada's western boreal forest

N Perron, JL Baltzer, M Detto… - Geophysical …, 2024 - Wiley Online Library
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 …

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 …

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 …

Nonlinear riparian interactions drive changes in headwater streamflow

SK Newcomb, SE Godsey - Water Resources Research, 2023 - Wiley Online Library
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 …

The insight of why: Causal inference in Earth system science

J Su, D Chen, D Zheng, Y Su, X Li - Science China Earth Sciences, 2023 - Springer
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 …

A roadmap for biomonitoring in the 21st century: merging methods into metrics via ecological networks

JP Cuff, MD Suresh, MEG Dopson… - Advances in ecological …, 2023 - Elsevier
The urgent need for highly resolved and broad biomonitoring has never been greater as
challenges such as climate change, agricultural intensification and biodiversity loss …