Journal article
Citizen Science Data Show Temperature-Driven Declines in Riverine Sentinel Invertebrates
Environmental science & technology letters, v 7(5), pp 303-307
12 May 2020
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
We used the presence and absence data of sentinel invertebrates (stonefly, order Plecoptera) collected by citizen scientists over 17 years to approximate trends in stream health in urban Detroit, Michigan, USA. Citizen science data are commonly collected based on availability of limited funds. Thus, survey locations lack consistent data collection, and missing values are common. While citizen science data sets can be large, on a regional and local scale, they are often undervalued but present an opportunity for managers to inform their decisions if the missing data can be addressed. To overcome this hurdle, here, missing values were modeled with a combination of spatial (inverse distance weighting and spatial stream network), temporal (Bayesian state space), and machine learning (ensemble random forest) models combining atmospheric, hydrologic, and biologic data. Using the estimated missing values, we determined negative population trends in stoneflies driven by stream temperature via a dynamic occupancy model. Urban streams present a challenge to resource managers because data are collected at disparate locations and frequencies and inconsistently recorded. However, we show how a combination of methods with publicly available and citizen science data from across disciplines can inform managers and support land-use decisions.
Metrics
Details
- Title
- Citizen Science Data Show Temperature-Driven Declines in Riverine Sentinel Invertebrates
- Creators
- Timothy J Maguire - University of WindsorScott O. C Mundle - University of Windsor
- Publication Details
- Environmental science & technology letters, v 7(5), pp 303-307
- Publisher
- American Chemical Society
- Number of pages
- 5
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Environmental Biogeochemistry
- Web of Science ID
- WOS:000535244900005
- Scopus ID
- 2-s2.0-85097614571
- Other Identifier
- 991021903229404721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Environmental
- Environmental Sciences