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This service definition contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Louisiana. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Louisiana. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative...
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This service definition contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Maine. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Maine. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
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This service definition contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Texas. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Texas. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
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This service definition contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of New Mexico. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of New Mexico. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative...
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This service definition contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of California. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of California. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative...
Human impacts occurring throughout the Northeast and Midwest United States, including urbanization, agriculture, and dams, have multiple effects on the region’s streams which support economically valuable stream fishes. Changes in climate are expected to lead to additional impacts in stream habitats and fish assemblages in multiple ways, including changing stream water temperatures. To manage streams for current impacts and future changes, managers need region-wide information for decision-making and developing proactive management strategies. Our project met that need by integrating results of a current condition assessment of stream habitats based on fish response to human land use, water quality impairment,...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the Great Plains Fish Habitat Partnership. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the boundary of the Great Plains Fish Habitat Partnership. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Illinois. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Illinois. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of North Carolina. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of North Carolina. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative...
Creating cumulative habitat condition scores Greater Alaska All six sub-indices of disturbance scores in each HUC-12 were summed together to yield a cumulative habitat condition index (CHCI) score for each HUC-12. The maximum value for the CHCI was 6, indicating that a HUC-12 was in the worst condition class for each sub-index of disturbance, while the minimum value of the CHCI was 0, indicating that a HUC-12 was in the best condition class for each sub-index of disturbance. We followed methods applied for the conterminous US and created condition classes using Jenk’s natural breaks. With the exception of the HUC-12s that received a CHCI score of <0.001, which were given a priory assignment of “very low” risk of...
Tags: 2015, Alaska, Method
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Map of the risk of current fish habitat degradation of inland streams of the Upper Midwest States.
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Map of the risk of current fish habitat degradation of inland streams of the Pacific Coast States.
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While this assessment has found that much of the stream habitat in this region is at low or very low risk of degradation, some key fish habitat disturbances, including water withdrawals or diversions and intensity of livestock grazing in watersheds, could not be directly included in this assessment because national datasets of these disturbances and their supporting variables are unavailable. These disturbances are known to have major, negative effects on fish habitats in this region. Their absence from this assessment, along with absences of other disturbances, has likely produced an overestimation of habitat condition (quality) for some water bodies. Despite such absences, impairment to fish habitats was determined...
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Creating cumulative habitat condition scores To create the cumulative habitat condition index (CHCI) for streams of the conterminous United States, associations between multiple fish metrics and multiple human landscape factors were synthesized into a single number using the following scoring process. 5a. For each significant association between a fish metric and a human landscape factor, we evaluated the shape of the relationship to identify two key points. The “ threshold point” is the level of a landscape factor associated with a decrease in abundance of a particular fish metric (change in condition class between 5 and 4 in Figure 4), and the “plateau point” is the level of a landscape factor beyond which increasing...
Tags: 2015, CONUS, Method
This interactive figure summarizes the risk of fish habitat degradation. The currently selected tab shows data from the assessment of streams for Alaska. (a) Relative condition of fish habitat in streams. Stream summaries represent percentage of HUC12 area in each condition class. (b) Map showing risk of fish habitat degradation. The default view shows all stream condition classes. User may change map display by selecting a bar in (a), resulting in a display of the selected condition class in (b). Please see How to Read this Report for important information about strengths and limitations of these findings. Click here to download scores from the Alaska assessment of streams.
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A. Pervasive disturbances: The most common disturbances based on total stream length in a given region. Top five overall most pervasive disturbances to all stream reaches, regardless of stream size and across all spatial scales (ranked highest first): Impervious surface cover Population density Low intensity urban land use Road length density Downstream dam density Top three most pervasive disturbances to creeks (watersheds <100 km 2 in area) across all spatial scales: Impervious surface cover Low intensity urban land use Population density Top three most pervasive disturbances to rivers (watersheds >100 km 2 in area) across all spatial scales: Upstream dam density Pasture and hay land use Population...
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A. Pervasive disturbances: The most common disturbances based on total stream length in a given region. Top five overall most pervasive disturbances to all stream reaches, regardless of stream size and across all spatial scales ranked highest first): Crop land use Population density Pasture and hay land use Road crossing density Low intensity land use Top three most pervasive disturbances to creeks (watersheds <100 km 2 in area) across all spatial scales: Crop land use Population density Low intensity urban land use Top three most pervasive disturbances to rivers (watersheds >100 km 2 in area) across all spatial scales : Pasture and hay land use Population density Crop land use Top five most pervasive...
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A. Pervasive disturbances: The most common disturbances based on total stream length in a given region. Top five overall most pervasive disturbances to all stream reaches, regardless of stream size and across all spatial scales (ranked highest first): Impervious surface cover Population density Road length density Low intensity urban land use Downstream dam density Top three most pervasive disturbances to creeks (<100 km 2 watersheds) across all spatial scales : Impervious surface Road length density Low intensity urban land use Top three most pervasive disturbances to rivers (>100 km 2 watersheds) across all spatial scales : Pasture and hay land use Impervious surface Population density Top five...
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Assembling data Data on stream fishes were provided for use in the 2015 assessment from many federal and state agencies and organizations from around the country. For a list of data providers, see Table 2. Due to the cooperation and support of multiple data providers, the 2015 assessment used stream fish assemblage data from 39,405 stream reaches as compared to 26,468 stream reaches in 2010 assessment. Data now reflects abundances of different fish species found in streams throughout the conterminous United States. Besides fish data, many different human (anthropogenic) landscape factors were assembled and used to characterize habitat condition. These factors include: urban and agricultural land use; intensity...
Tags: 2015, CONUS, Method
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This service definition contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of New Jersey. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of New Jersey. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative...
map background search result map search result map Illinois: NFHAP 2010 HCI Scores and Disturbances North Carolina: NFHAP 2010 HCI Scores and Disturbances National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Great Plains Fish Habitat Partnership National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for California: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Louisiana: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Maine: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for New Jersey: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for New Mexico: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Texas: ESRI Service Definition Upper Midwest States - Risk of Current Fish Habitat Degradation Map Most Pervasive and Severe Disturbances for the Upper Midwest States Pacific Coast States - Risk of Current Fish Habitat Degradation Map Most Pervasive and Severe Disturbances for the Southeast Atlantic States Summary of Scientific Findings for Southern Plains States National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for New Jersey: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Maine: ESRI Service Definition National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Louisiana: ESRI Service Definition North Carolina: NFHAP 2010 HCI Scores and Disturbances Illinois: NFHAP 2010 HCI Scores and Disturbances National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for New Mexico: ESRI Service Definition Most Pervasive and Severe Disturbances for the Southeast Atlantic States National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for California: ESRI Service Definition Upper Midwest States - Risk of Current Fish Habitat Degradation Map Most Pervasive and Severe Disturbances for the Upper Midwest States National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Texas: ESRI Service Definition Pacific Coast States - Risk of Current Fish Habitat Degradation Map Summary of Scientific Findings for Southern Plains States National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Great Plains Fish Habitat Partnership