Evidence map›Paper›PMID 31079171›Full record

ArticleEnvironmental management2019

On Assessing Risks to Fish Habitats and Populations Associated with a Transportation Corridor for Proposed Mine Operations in a Salmon-rich Watershed.

Michael Kravitz, Greg Blair

Abstract read
In one paragraph

Article in Environmental management, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Michael KravitzU.S. EPA Office of Research and Development/National Center for Environmental Assessment (MS A-110), 26W Martin Luther King Dr., Cincinnati, OH, 45268, USA. kravitz.michael@epa.gov.ORCID http://orcid.org/0000-0002-3049-6356
Greg BlairICF International, 1200 6th Ave., Suite 1800, Seattle, WA, 98101, USA.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Natural resource extraction in large undeveloped areas-such as the Bristol Bay watershed in Southwest Alaska-often necessitates construction of roads that contribute substantial environmental risks. Herein, we attempt to address risks from a proposed mine transportation corridor in a virtually roadless watershed that crosses important salmon streams and rivers. The Bristol Bay watershed supports the largest sockeye salmon fishery in the world. A proposed 138 km permanent access road would connect a porphyry copper/gold deposit to a deep-water port. Of 64 potential stream crossings, salmonid spawning migrations may be impeded by culverts at 36 crossings, 32 of which contain restricted upstream habitat. After cessation of mine operations, assuming typical maintenance practices, 10 or more of the 32 streams with restricted upstream habitat would likely be entirely or partly blocked at any time. Consequently, salmon passage-and ultimately production-would be reduced in these streams, and they would likely not be able to support long-term populations of resident species. Additional long-term risks associated with operation of the road include filling or alteration of National Wetland Inventory aquatic habitats; spills of highly toxic xanthate or cyanide due to truck accidents; and reduced habitat quality due to dust production from traffic. We discuss our methodology, and information needs, in the context of Environmental Impact Statements that set the stage for decisions regarding future mining projects.

Indexed as

EcosystemSalmonAlaskaAnimalsFishesRiversAccess roadFish habitatsMiningRisksSalmonidsStream crossings

Identifiers

PMID31079171
PMCPMC6783258

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.