Brook trout distributional response to unconventional oil and gas development: Landscape context matters

•We assessed the role of landscape context in modulating brook trout response to UOG.•UOG impacted 11% of streams and resulted in a loss of predicted occupancy in 126.•Streams with a predicted loss of occupancy had intermediate non-UOG stress.•Model results were supported by pre- and post-UOG distur...

Full description

Saved in:
Bibliographic Details
Published inThe Science of the total environment Vol. 628-629; pp. 338 - 349
Main Authors Merriam, Eric R., Petty, J. Todd, Maloney, Kelly O., Young, John A., Faulkner, Stephen P., Slonecker, E. Terrence, Milheim, Lesley E., Hailegiorgis, Atesmachew, Niles, Jonathan
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier B.V 01.07.2018
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:•We assessed the role of landscape context in modulating brook trout response to UOG.•UOG impacted 11% of streams and resulted in a loss of predicted occupancy in 126.•Streams with a predicted loss of occupancy had intermediate non-UOG stress.•Model results were supported by pre- and post-UOG disturbance samples.•Effects of UOG are most relevant in streams with pre-existing habitat degradation. [Display omitted] We conducted a large-scale assessment of unconventional oil and gas (UOG) development effects on brook trout (Salvelinus fontinalis) distribution. We compiled 2231 brook trout collection records from the Upper Susquehanna River Watershed, USA. We used boosted regression tree (BRT) analysis to predict occurrence probability at the 1:24,000 stream-segment scale as a function of natural and anthropogenic landscape and climatic attributes. We then evaluated the importance of landscape context (i.e., pre-existing natural habitat quality and anthropogenic degradation) in modulating the effects of UOG on brook trout distribution under UOG development scenarios. BRT made use of 5 anthropogenic (28% relative influence) and 7 natural (72% relative influence) variables to model occurrence with a high degree of accuracy [Area Under the Receiver Operating Curve (AUC)=0.85 and cross-validated AUC=0.81]. UOG development impacted 11% (n=2784) of streams and resulted in a loss of predicted occurrence in 126 (4%). Most streams impacted by UOG had unsuitable underlying natural habitat quality (n=1220; 44%). Brook trout were predicted to be absent from an additional 26% (n=733) of streams due to pre-existing non-UOG land uses (i.e., agriculture, residential and commercial development, or historic mining). Streams with a predicted and observed (via existing pre- and post-disturbance fish sampling records) loss of occurrence due to UOG tended to have intermediate natural habitat quality and/or intermediate levels of non-UOG stress. Simulated development of permitted but undeveloped UOG wells (n=943) resulted in a loss of predicted occurrence in 27 additional streams. Loss of occurrence was strongly dependent upon landscape context, suggesting effects of current and future UOG development are likely most relevant in streams near the probability threshold due to pre-existing habitat degradation.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0048-9697
1879-1026
DOI:10.1016/j.scitotenv.2018.02.062