Title
Data from: "Increased landscape disturbance and streamflow variability threaten fish biodiversity in the Red River catchment, USA"

Description
This data is associated with the manuscript "Increased landscape disturbance and streamflow variability threaten fish biodiversity in the Red River catchment, USA" The data consists of one XLSX file and one README file associated with the methodology and documentation to allow for replication and verification of findings.

Abstract
Stream fish distributions are hypothesized to be strongly associated with landscape characteristics at multiple scales. Variation in flow regimes and intensity of landscape disturbance is associated with stream fish distributions; however, relationships are poorly understood in many high-diversity regions. Our objective was to identify occurrence relationships between fish distributions and streamflow and landscape characteristics in the south-central United States. Our study area was the central Red River catchment in Oklahoma, Texas, and Arkansas, USA. We used existing fish surveys to model the occurrence of a diverse, warmwater assemblage among hydraulic response units (HRUs). We used multispecies occupancy modeling to identify variation in occurrence probability among 111 stream fishes in relation to landscape disturbance and flow regime characteristics. We found significant occurrence relationships with landscape disturbance and 11 metrics comprising all flow regime components. The relationships varied within both major species groups and some genera. Frequency and duration were the most common flow regime relationships. More common stream fishes tended to be positively associated with higher levels of landscape disturbance and flow regime metrics representing variability. Conversely, less-tolerant, narrow-ranged fishes tended to be negatively associated. Occurrence relationships with flow metrics representing high-flow events were predominately negative. As expected, many species were strongly associated with and ecoregion with landscape disturbance and flow relationships held constant. Our study informs land-use and water management decisions and stream fish conservation at multiple spatial scales. Collectively, the findings suggest potential homogenization of the Red River fish assemblage with increased landscape disturbance and streamflow variability. A reduction in landscape disturbance and maintenance of natural flow patterns at coarser scales may benefit endemic and narrow-ranged fishes. Our findings also guide finer-scale land-use and water management decisions by identifying stream network areas with a high occurrence probability of less-tolerant fishes. 


Data Description
survey: Unique 8-character alphanumeric indentification code assigned to each survey.
source: Unique 4-character alpabetetical code assigned to groups of surveys to denote the data source, where ADEQ is Arkansas Department of Envioronmental Quality 
	(https://www.adeq.state.ar.us/), AGFC is Arkansas Game and Fish Commission (https://www.agfc.com/en/), DBIO is Integrated Digitized Biocollections (iDigBio; 
	https://www.idigbio.org/), FTEX is Fishes of Texas (http://www.fishesoftexas.org/home/), LAWF is Louisiana Department of Wildlife and Fisheries 
	(http://www.wlf.louisiana.gov/), LDEQ is Louisiana Department of Environmental Quality (https://deq.louisiana.gov/), MARI is Multistate Aquatic Resources 
	Information System (MARIS; https://www.sciencebase.gov/catalog/item/51c45ef1e4b03c77dce65a84), ODWC is Oklahoma Department of Wildlife Conservation 
	(https://www.wildlifedepartment.com/), OKCC is Oklahoma Conservation Commission (https://www.ok.gov/conservation/), OKCO is Oklahoma Cooperative Fish and 
	Wildlife Research Unit (https://www.coopunits.org/Oklahoma/), OWRB is Okahoma Water Resources Board (https://www.owrb.ok.gov/), SNMU is Sam Noble Museum 
	(https://samnoblemuseum.ou.edu/), TXAM is Texas A & M University (https://brtc.tamu.edu/), and VERT is VertNet (http://vertnet.org/). 
source_id: Identification code for survey if provided by data source. NA if otherwise.
record_id: Identification code for occurrence record if provided by data source. NA if otherwise.
date: Date of survey.
latitude: Latitude of survey.
longitude: Longitude of survey.
georeference: Yes indicates that the latitude and longitude of the survey was approximated using descriptions provided by the data source, and No indicates the latitude 
              and longitude of the survey was provided by the data source.
state: State where survey was conducted (Arkansas, Louisiana, Oklahoma, or Texas).
county: County where survey was conducted if provided by data source. NA if otherwise.
water_name: Name of water body where survey was conducted if provided by data source. NA if otherwise.
site_description: Description of survey location if provided by the data source. NA if otherwise.
taxonomy: Highest taxomomic level provided by the data source for occurrence record.
count: Number of individuals in occurrence record if provided by the data source. NA if otherwise.
collector: The agency or a person that conducted the surveys. NA if otherwise.
sampling_gear: Sampling gear used for survey if provided by the data source. NA if otherwise.
comments: Additional comments provided for the survey or occurrence record if provided by the data source. NA if otherwise.