SoCal Shelf Region
-
+
-
-
+
+
A figure showing the relative abundance of myctophids (Myctophidae) collected during the spring around the Northern Channel Islands and the Southern California Shelf from 1978 to 2018.The bar at the bottom of the figure can be used to zoom in to specific dates, using the small slider buttons on either edge of the bar. The blue horizontal line indicates the mean value for the time series. The horizontal gray bar shows one standard deviation above and below the mean. Data source: CalCOFI; Figure credit: A. Thompson/NOAA; Ben Best/EcoQuants.
-
Click for Details
Relative abundance of key forage fish groups collected in net samples during spring CalCOFI cruises at sites in the Channel Islands National Marine Sanctuary (CINMS) and Southern California Shelf regions from 1978 to 2015. High energy taxa (e.g. those with a high lipid content) are Pacific sardines, northern anchovies, and Myctophids. Medium-energy taxa are Pacific hake, shortbelly rockfish, and sanddabs. Although sardine were completely absent in net samples from 2011 to 2014 in the CINMS region, comparison with samples collected in the larger Southern California Shelf region reveal that sardine were at very low abundance but not completely absent from the region. For more information, consult Figure App.F.12.19.myctophids in the CINMS 2016 Condition Report. ++Click for Details +
+Relative abundance of key forage fish groups collected in net samples during spring CalCOFI cruises at sites in the Channel Islands National Marine Sanctuary (CINMS) and Southern California Shelf regions from 1978 to 2015. High energy taxa (e.g. those with a high lipid content) are Pacific sardines, northern anchovies, and Myctophids. Medium-energy taxa are Pacific hake, shortbelly rockfish, and sanddabs. Although sardine were completely absent in net samples from 2011 to 2014 in the CINMS region, comparison with samples collected in the larger Southern California Shelf region reveal that sardine were at very low abundance but not completely absent from the region. For more information, consult Figure App.F.12.19.myctophids in the CINMS 2016 Condition Report.SoCal Shelf Region
Rockfish
CINMS Region
-SoCal Shelf Region
-
+
-
-
+
+
A figure showing the relative abundance of shortbelly rockfish (Sebastes jordani) collected during the spring around the Northern Channel Islands and the Southern California Shelf from 1978 to 2018. The bar at the bottom of the figure can be used to zoom in to specific dates, using the small slider buttons on either edge of the bar. The blue horizontal line indicates the mean value for the time series. The horizontal gray bar shows one standard deviation above and below the mean. Data source: CalCOFI; Figure credit: A. Thompson/NOAA; Ben Best/EcoQuants.
-
Click for Details
Relative abundance of key forage fish groups collected in net samples during spring CalCOFI cruises at sites in the Channel Islands National Marine Sanctuary (CINMS) and Southern California Shelf regions from 1978 to 2015. High energy taxa (e.g. those with a high lipid content) taxa are Pacific sardines, northern anchovies, and Myctophids. Medium-energy taxa are Pacific hake, shortbelly rockfish, and sanddabs. Although sardine were completely absent in net samples from 2011 to 2014 in the CINMS region, comparison with samples collected in the larger Southern California Shelf region reveal that sardine were at very low abundance but not completely absent from the region. For more information, consult Figure App.F.12.19.rockfish in the CINMS 2016 Condition Report. ++Click for Details +
+Relative abundance of key forage fish groups collected in net samples during spring CalCOFI cruises at sites in the Channel Islands National Marine Sanctuary (CINMS) and Southern California Shelf regions from 1978 to 2015. High energy taxa (e.g. those with a high lipid content) taxa are Pacific sardines, northern anchovies, and Myctophids. Medium-energy taxa are Pacific hake, shortbelly rockfish, and sanddabs. Although sardine were completely absent in net samples from 2011 to 2014 in the CINMS region, comparison with samples collected in the larger Southern California Shelf region reveal that sardine were at very low abundance but not completely absent from the region. For more information, consult Figure App.F.12.19.rockfish in the CINMS 2016 Condition Report.SoCal Shelf Region
Sanddab
CINMS Region
- - + + +SoCal Shelf Region
-
+
-
-
+
+
A figure showing the relative abundance of Pacific sanddab (Citharichthys sordidus) collected during the spring around the Northern Channel Islands and the Southern California Shelf from 1978 - 2018. The bar at the bottom of the figure can be used to zoom in to specific dates, using the small slider buttons on either edge of the bar. The blue horizontal line indicates the mean value for the time series. The horizontal gray bar shows one standard deviation above and below the mean. Data source: CalCOFI; Figure credit: A. Thompson/NOAA; Ben Best/EcoQuants.
-
Click for Details
Relative abundance of key forage fish groups collected in net samples during spring CalCOFI cruises at sites in the Channel Islands National Marine Sanctuary (CINMS) and Southern California Shelf regions from 1978 to 2015. High energy taxa (e.g. those with a high lipid content) are Pacific sardines, northern anchovies, and Myctophids. Medium-energy taxa are Pacific hake, shortbelly rockfish, and sanddabs. Although sardine were completely absent in net samples from 2011 to 2014 in the CINMS region, comparison with samples collected in the larger Southern California Shelf region reveal that sardine were at very low abundance but not completely absent from the region. For more information, consult Figure App.F.12.19.sanddab in the CINMS 2016 Condition Report. ++Click for Details +
+Relative abundance of key forage fish groups collected in net samples during spring CalCOFI cruises at sites in the Channel Islands National Marine Sanctuary (CINMS) and Southern California Shelf regions from 1978 to 2015. High energy taxa (e.g. those with a high lipid content) are Pacific sardines, northern anchovies, and Myctophids. Medium-energy taxa are Pacific hake, shortbelly rockfish, and sanddabs. Although sardine were completely absent in net samples from 2011 to 2014 in the CINMS region, comparison with samples collected in the larger Southern California Shelf region reveal that sardine were at very low abundance but not completely absent from the region. For more information, consult Figure App.F.12.19.sanddab in the CINMS 2016 Condition Report.SoCal Shelf Region
Sardines
CINMS Region
- - + + +SoCal Shelf Region
-
+
-
-
+
+
forage-inverts.utf8
+
+
-
+
-
+
-
+
-
+
+
+
+
+
+
+ .display.math{display: block; text-align: center; margin: 0.5rem auto;}
+
-
+
+
A figure showing the relative abundance of Pacific sardine (Sardinops sagax) collected during the spring around the Northern Channel Islands and the Southern California Shelf from 1978 to 2018. The bar at the bottom of the figure can be used to zoom in to specific dates, using the small slider buttons on either edge of the bar. The blue horizontal line indicates the mean value for the time series. The horizontal gray bar shows one standard deviation above and below the mean. Data source: CalCOFI; Figure credit: A. Thompson/NOAA; Ben Best/EcoQuants.
-
-
-
-
+
diff --git a/modals/forage-inverts.html b/modals/forage-inverts.html
index 872d0c41..0162b63d 100644
--- a/modals/forage-inverts.html
+++ b/modals/forage-inverts.html
@@ -13,27 +13,48 @@
Click for Details
Relative abundance of key forage fish groups collected in net samples during spring CalCOFI cruises at sites in the Channel Islands National Marine Sanctuary (CINMS) and Southern California Shelf regions from 1978 to 2015. High energy taxa (e.g. those with a high lipid content) are Pacific sardines, northern anchovies, and Myctophids. Medium-energy taxa are Pacific hake, shortbelly rockfish, and sanddabs. Although sardine were completely absent in net samples from 2011 to 2014 in the CINMS region, comparison with samples collected in the larger Southern California Shelf region reveal that sardine were at very low abundance but not completely absent from the region. For more information, consult Figure App.F.12.19.sardine in the CINMS 2016 Condition Report. ++Click for Details +
+Relative abundance of key forage fish groups collected in net samples during spring CalCOFI cruises at sites in the Channel Islands National Marine Sanctuary (CINMS) and Southern California Shelf regions from 1978 to 2015. High energy taxa (e.g. those with a high lipid content) are Pacific sardines, northern anchovies, and Myctophids. Medium-energy taxa are Pacific hake, shortbelly rockfish, and sanddabs. Although sardine were completely absent in net samples from 2011 to 2014 in the CINMS region, comparison with samples collected in the larger Southern California Shelf region reveal that sardine were at very low abundance but not completely absent from the region. For more information, consult Figure App.F.12.19.sardine in the CINMS 2016 Condition Report.A map showing the locations of spring season net samples by CalCOFI for use in analyses of abundance and trends in pelagic resources. Channel Islands National Marine Sanctuary region (red) includes CalCOFI stations inside and adjacent to CINMS; and Southern California Shelf (yellow) includes all CalCOFI stations over the shelf. Figure credit: A. Thompson/NOAA, Ben Best/EcoQuants.
-
Market Squid
+Market Squid
@@ -244,7 +234,10 @@Market Squid
Figures showing the average abundance of market squid (Doryteuthis opalescens) collected in CalCOFI net samples taken only at sites in the Channel Islands National Marine Sanctuary region (top) and all sites over the Southern California Shelf (bottom) from 1997 to 2015. Click the map tab to compare the two sampling regions. Figure credit: A. Thompson/NOAA
-
Click for Details
Horizontal lines show the mean (dashed line) ± 1.0 standard deviation (solid lines) over the full time series. Symbol at upper right indicates whether data over the last five years (green shaded areas) had a positive trend (up arrow), a negative trend (down arrow), or no trend (↔︎). Symbol at lower right indicates whether the mean over the past five years was greater than (+), less than (–), or within 1 standard deviation (●) of the mean of the full time series. Data source: CalCOFI; Figure: A. Thompson/NOAA For more information, consult Figure App.F.12.20.squid in the CINMS 2016 Condition Report. ++Click for Details +
+Horizontal lines show the mean (dashed line) ± 1.0 standard deviation (solid lines) over the full time series. Symbol at upper right indicates whether data over the last five years (green shaded areas) had a positive trend (up arrow), a negative trend (down arrow), or no trend (↔). Symbol at lower right indicates whether the mean over the past five years was greater than (+), less than (–), or within 1 standard deviation (â—) of the mean of the full time series. Data source: CalCOFI; Figure: A. Thompson/NOAA For more information, consult Figure App.F.12.20.squid in the CINMS 2016 Condition Report.
@@ -293,7 +286,7 @@ halibut.utf8
+
+
+
+
+
+
+
+ .display.math{display: block; text-align: center; margin: 0.5rem auto;}
+
-
@@ -253,7 +246,7 @@ infauna.utf8
+
+
+
+
+
+
+
+ .display.math{display: block; text-align: center; margin: 0.5rem auto;}
+
-
@@ -300,7 +299,7 @@ infaunal-inverts.utf8
+
+
+
+
+
+
+
+ .display.math{display: block; text-align: center; margin: 0.5rem auto;}
+
-
diff --git a/modals/invasives_kelp-forest.html b/modals/invasives_kelp-forest.html
index d7693506..d72aefdb 100644
--- a/modals/invasives_kelp-forest.html
+++ b/modals/invasives_kelp-forest.html
@@ -13,17 +13,38 @@
invasives_kelp-forest.utf8
+
+
+
+
+
+
+
+ .display.math{display: block; text-align: center; margin: 0.5rem auto;}
+
-
@@ -314,7 +316,7 @@ invasives_rocky-shore.utf8
+
+
+
+
+
+
+
+ .display.math{display: block; text-align: center; margin: 0.5rem auto;}
+
-
@@ -257,7 +250,7 @@
$(document).ready(function () {
$('.tabset-dropdown > .nav-tabs > li').click(function () {
- $(this).parent().toggleClass('nav-tabs-open')
+ $(this).parent().toggleClass('nav-tabs-open');
});
});
diff --git a/modals/inverts.html b/modals/inverts.html
index e85bd79b..940c5544 100644
--- a/modals/inverts.html
+++ b/modals/inverts.html
@@ -13,15 +13,36 @@
inverts.utf8
+
+
+
+
+
+
+
+ .display.math{display: block; text-align: center; margin: 0.5rem auto;}
+
-
diff --git a/modals/kelp-canopy.html b/modals/kelp-canopy.html
index 306fad65..73fa409a 100644
--- a/modals/kelp-canopy.html
+++ b/modals/kelp-canopy.html
@@ -13,17 +13,38 @@
kelp-canopy.utf8
+
+
+
+
+
+
+
+ .display.math{display: block; text-align: center; margin: 0.5rem auto;}
+
-
@@ -276,7 +272,7 @@ kelp-forest-biogenic-invertebrates.utf8
+
+
+
+
+
+
+
+ .display.math{display: block; text-align: center; margin: 0.5rem auto;}
+
-
diff --git a/modals/kelp-forest-fish.html b/modals/kelp-forest-fish.html
index b08e00bd..292ef149 100644
--- a/modals/kelp-forest-fish.html
+++ b/modals/kelp-forest-fish.html
@@ -13,17 +13,38 @@
kelp-forest-fish.utf8
+
+
+
+
+
+
+
+ .display.math{display: block; text-align: center; margin: 0.5rem auto;}
+
-
@@ -313,7 +315,7 @@ kelp-forest_human-activities.utf8
+
+
+
+
+
+
+
+ .display.math{display: block; text-align: center; margin: 0.5rem auto;}
+
-
@@ -383,7 +391,7 @@ kelp-forest_key-climate-ocean.utf8
+
+
-
+
-
+
-
+
@@ -38,6 +48,17 @@
+
+
+
+
+
+ .display.math{display: block; text-align: center; margin: 0.5rem auto;}
+
-
+
+
SoCal Shelf Region
$(document).ready(function () { $('.tabset-dropdown > .nav-tabs > li').click(function () { - $(this).parent().toggleClass('nav-tabs-open') + $(this).parent().toggleClass('nav-tabs-open'); }); }); diff --git a/modals/halibut.html b/modals/halibut.html index cbc2b40f..705ef764 100644 --- a/modals/halibut.html +++ b/modals/halibut.html @@ -13,17 +13,38 @@Landings
$(document).ready(function () { $('.tabset-dropdown > .nav-tabs > li').click(function () { - $(this).parent().toggleClass('nav-tabs-open') + $(this).parent().toggleClass('nav-tabs-open'); }); }); diff --git a/modals/infauna.html b/modals/infauna.html index 95745f68..6275381a 100644 --- a/modals/infauna.html +++ b/modals/infauna.html @@ -13,17 +13,38 @@Benthic Response Index - Condition by site
$(document).ready(function () { $('.tabset-dropdown > .nav-tabs > li').click(function () { - $(this).parent().toggleClass('nav-tabs-open') + $(this).parent().toggleClass('nav-tabs-open'); }); }); diff --git a/modals/infaunal-inverts.html b/modals/infaunal-inverts.html index 5d3dbebc..0214ba58 100644 --- a/modals/infaunal-inverts.html +++ b/modals/infaunal-inverts.html @@ -13,15 +13,36 @@Map: Watersipora - Southern California Bight
$(document).ready(function () { $('.tabset-dropdown > .nav-tabs > li').click(function () { - $(this).parent().toggleClass('nav-tabs-open') + $(this).parent().toggleClass('nav-tabs-open'); }); }); diff --git a/modals/invasives_rocky-shore.html b/modals/invasives_rocky-shore.html index 3c1d329e..b1f49330 100644 --- a/modals/invasives_rocky-shore.html +++ b/modals/invasives_rocky-shore.html @@ -13,17 +13,38 @@Kelp density by island (CINP data)
$(document).ready(function () { $('.tabset-dropdown > .nav-tabs > li').click(function () { - $(this).parent().toggleClass('nav-tabs-open') + $(this).parent().toggleClass('nav-tabs-open'); }); }); diff --git a/modals/kelp-forest-biogenic-invertebrates.html b/modals/kelp-forest-biogenic-invertebrates.html index 90a079e8..5dc9cadc 100644 --- a/modals/kelp-forest-biogenic-invertebrates.html +++ b/modals/kelp-forest-biogenic-invertebrates.html @@ -13,15 +13,36 @@Giant sea bass (Stereolepis gigas) (PISCO data)
$(document).ready(function () { $('.tabset-dropdown > .nav-tabs > li').click(function () { - $(this).parent().toggleClass('nav-tabs-open') + $(this).parent().toggleClass('nav-tabs-open'); }); }); diff --git a/modals/kelp-forest_human-activities.html b/modals/kelp-forest_human-activities.html index 7ae37071..64ba3b9e 100644 --- a/modals/kelp-forest_human-activities.html +++ b/modals/kelp-forest_human-activities.html @@ -13,15 +13,36 @@Trends: Sound Levels
$(document).ready(function () { $('.tabset-dropdown > .nav-tabs > li').click(function () { - $(this).parent().toggleClass('nav-tabs-open') + $(this).parent().toggleClass('nav-tabs-open'); }); }); diff --git a/modals/kelp-forest_key-climate-ocean.html b/modals/kelp-forest_key-climate-ocean.html index ad59708e..1fb80c67 100644 --- a/modals/kelp-forest_key-climate-ocean.html +++ b/modals/kelp-forest_key-climate-ocean.html @@ -13,23 +13,33 @@Map of the most recent sea-surface temperature around the Sanctuary.
-
Click for Details
The sea-surface temperature dataset collected via satellite is the Multi-scale Ultra-high Resolution (MUR) SST Analysis fv04.1, Global, 0.01°, 2002-present, Monthly curated by NOAA’s Environmental Research Division (ERD) and served to this website live as a web map service (WMS) from the CoastWatch ERDDAP server. ++Click for Details +
+The sea-surface temperature dataset collected via satellite is the Multi-scale Ultra-high Resolution (MUR) SST Analysis fv04.1, Global, 0.01°, 2002-present, Monthly curated by NOAA’s Environmental Research Division (ERD) and served to this website live as a web map service (WMS) from the CoastWatch ERDDAP server.Trend: Satellite-based SST
- - + +The average sea-surface temperature over time across the Sanctuary. The bar at the bottom of the figure can be used to zoom in to specific dates, using the small slider buttons on either edge of the bar. In the figure, the dark red line is the average temperature, while the lighter pink area indicates the range of that temperature across the Sanctuary (with the area showing everything but the lowest 5% and the highest 5% of the data).
-
Click for Details
The sea-surface temperature dataset collected via satellite is the Multi-scale Ultra-high Resolution (MUR) SST Analysis fv04.1, Global, 0.01°, 2002-present, Monthly curated by NOAA’s Environmental Research Division (ERD) and served to this website live as a web map service (WMS) from the CoastWatch ERDDAP server. ++Click for Details +
+The sea-surface temperature dataset collected via satellite is the Multi-scale Ultra-high Resolution (MUR) SST Analysis fv04.1, Global, 0.01°, 2002-present, Monthly curated by NOAA’s Environmental Research Division (ERD) and served to this website live as a web map service (WMS) from the CoastWatch ERDDAP server.Download timeseries data for sanctuary: statistics_sst_cinms.csv
Trend: SST anomaly
- - + +The anomaly in sea-surface temperature over time across the Sanctuary. Values in red are above the average sea-surface temperature and values in blue are below the average sea-surface temperature. The bar at the bottom of the figure can be used to zoom in to specific dates, using the small slider buttons on either edge of the bar.
-
Click for Details
Sea-surface temperature (SST) anomalies were calculated based upon the method in Reed et al. 2016. Nature Communications 7, 13757. Using the 15-year period of 2003-2017, an average SST was calculated for every month for the Sanctuary. Then, the average SST value for the appropriate month was subtracted from every value in the SST dataset. The resulting numbers are the SST anomalies. The sea-surface temperature dataset collected via satellite is the Multi-scale Ultra-high Resolution (MUR) SST Analysis fv04.1, Global, 0.01°, 2002-present, Monthly curated by NOAA’s Environmental Research Division (ERD) and served to this website live as a web map service (WMS) from the CoastWatch ERDDAP server. ++Click for Details +
+Sea-surface temperature (SST) anomalies were calculated based upon the method in Reed et al. 2016. Nature Communications 7, 13757. Using the 15-year period of 2003-2017, an average SST was calculated for every month for the Sanctuary. Then, the average SST value for the appropriate month was subtracted from every value in the SST dataset. The resulting numbers are the SST anomalies. The sea-surface temperature dataset collected via satellite is the Multi-scale Ultra-high Resolution (MUR) SST Analysis fv04.1, Global, 0.01°, 2002-present, Monthly curated by NOAA’s Environmental Research Division (ERD) and served to this website live as a web map service (WMS) from the CoastWatch ERDDAP server.Download timeseries data for sanctuary: sst_anomaly_cinms.csv
-
@@ -270,10 +275,10 @@ Nutrients
+Nutrients
Trend: Nitrate profile (PnB)
@@ -251,7 +250,10 @@
Trend: Nitrate profile (PnB)
A figure showing nitrate concentrations (a form of organic nitrogen) at a Plumes and Blooms sampling station from 1997 - 2015 (top) and 2009 - 2015 (bottom). Figure: Siegel et al. submitted. [Plumes and Blooms] (http://www.oceancolor.ucsb.edu/plumes_and_blooms)
-
Click for Details
Nitrate concentrations (NO3 μmol/L) at Plumes and Blooms sampling station #4 (34°15.01’N, 119°54.38’W, see Figure D6.2) for (a) 1997-2015; and (b) 2009-2015, a subset of Figure D6.6a of the years since the last condition report. While station #4 is outside the sanctuary boundary and there are other sampling sites within the sanctuary, it is the only sampling site that collects measurements throughout the water column, versus from just surface waters. This time-depth contour plot was generated via ordinary krigging with a generalized exponential-Bessel fitting model (GLOBEC Kriging Software Package v3.0), with interpolation length scales of 30 days (time axis) and ten meters (depth axis). The time and location of each actual sample are shown as black dots, allowing the observation of periods where data gaps exist. For more information, consult Figure App.D.6.5 in the CINMS 2016 Condition Report. ++Click for Details +
+Nitrate concentrations (NO3 μmol/L) at Plumes and Blooms sampling station #4 (34°15.01’N, 119°54.38’W, see Figure D6.2) for (a) 1997-2015; and (b) 2009-2015, a subset of Figure D6.6a of the years since the last condition report. While station #4 is outside the sanctuary boundary and there are other sampling sites within the sanctuary, it is the only sampling site that collects measurements throughout the water column, versus from just surface waters. This time-depth contour plot was generated via ordinary krigging with a generalized exponential-Bessel fitting model (GLOBEC Kriging Software Package v3.0), with interpolation length scales of 30 days (time axis) and ten meters (depth axis). The time and location of each actual sample are shown as black dots, allowing the observation of periods where data gaps exist. For more information, consult Figure App.D.6.5 in the CINMS 2016 Condition Report.
@@ -261,7 +263,10 @@
Trend: Phosphate profile (PnB)
A figure showing phosphate concentrations (a form of organic phosophorous) at a Plumes and Blooms sampling station from 1997 - 2015 (top) and 2009 - 2015 (bottom). Figure: Siegel et al. submitted. [Plumes and Blooms] (http://www.oceancolor.ucsb.edu/plumes_and_blooms)
-
Click for Details
Phosphate concentration (PO4 μg/L) at Plumes and Blooms sampling station #4 (34°15.01’N, 119°54.38’W, see Figure D6.2) for (a) 1997-2015; and (b) 2009-2015 a subset of Figure D6.7a of the years since the last condition report. While station #4 is outside the sanctuary boundary and there are other sampling sites within the sanctuary, it is the only sampling site that collects measurements throughout the water column, versus from just surface waters. This time-depth contour plot was generated via ordinary krigging with a generalized exponential-Bessel fitting model (GLOBEC Kriging Software Package v3.0), with interpolation length scales of 30 days (time axis) and ten meters (depth axis). The time and location of each actual sample are shown as black dots, allowing the observation of periods where data gaps exist. Figure: Siegel et al. submitted. Plumes and Blooms: http://www.oceancolor.ucsb.edu/plumes_and_blooms For more information, consult Figure App.D.6.6 in the CINMS 2016 Condition Report. ++Click for Details +
+Phosphate concentration (PO4 μg/L) at Plumes and Blooms sampling station #4 (34°15.01’N, 119°54.38’W, see Figure D6.2) for (a) 1997-2015; and (b) 2009-2015 a subset of Figure D6.7a of the years since the last condition report. While station #4 is outside the sanctuary boundary and there are other sampling sites within the sanctuary, it is the only sampling site that collects measurements throughout the water column, versus from just surface waters. This time-depth contour plot was generated via ordinary krigging with a generalized exponential-Bessel fitting model (GLOBEC Kriging Software Package v3.0), with interpolation length scales of 30 days (time axis) and ten meters (depth axis). The time and location of each actual sample are shown as black dots, allowing the observation of periods where data gaps exist. Figure: Siegel et al. submitted. Plumes and Blooms: http://www.oceancolor.ucsb.edu/plumes_and_blooms For more information, consult Figure App.D.6.6 in the CINMS 2016 Condition Report.Note: This is variant of a similar figure shown during the expert workshop.
Trend: Nitrate anomaly
Trend: Nitrate anomaly
A figure showing unexpected monthly temperature differences (top) and corresponding nitrate concentrations (bottom) from 2001 - 2015. Data were collected at 7-10 meters depth. Figure: Reed et al. 2016
-
@@ -318,7 +326,7 @@ Click for Details
Monthly anomalies in (top panel) observed bottom temperature (°C) at 7-10 meters depth and (bottom panel) modeled bottom nitrate concentrations (μmol/L) at 7-10 meters depth along the Santa Barbara Channel mainland nearshore (nine sampling sites roughly spanning from Gaviota east to Ventura). The anomalously warm years of 2014-2015 are shown in red. Similar trends were seen at the islands. For more information, consult Figure App.D.6.7 in the CINMS 2016 Condition Report. ++Click for Details +
+Monthly anomalies in (top panel) observed bottom temperature (°C) at 7-10 meters depth and (bottom panel) modeled bottom nitrate concentrations (μmol/L) at 7-10 meters depth along the Santa Barbara Channel mainland nearshore (nine sampling sites roughly spanning from Gaviota east to Ventura). The anomalously warm years of 2014-2015 are shown in red. Similar trends were seen at the islands. For more information, consult Figure App.D.6.7 in the CINMS 2016 Condition Report.Trend: Nitrate anomaly
$(document).ready(function () { $('.tabset-dropdown > .nav-tabs > li').click(function () { - $(this).parent().toggleClass('nav-tabs-open') + $(this).parent().toggleClass('nav-tabs-open'); }); }); diff --git a/modals/kelp-forest_seastars.html b/modals/kelp-forest_seastars.html index e6d2c4ba..fb669626 100644 --- a/modals/kelp-forest_seastars.html +++ b/modals/kelp-forest_seastars.html @@ -13,17 +13,38 @@CHIS: Sunflower star
$(document).ready(function () { $('.tabset-dropdown > .nav-tabs > li').click(function () { - $(this).parent().toggleClass('nav-tabs-open') + $(this).parent().toggleClass('nav-tabs-open'); }); }); diff --git a/modals/key-climate-ocean.html b/modals/key-climate-ocean.html index 57e24cdf..c6553c75 100644 --- a/modals/key-climate-ocean.html +++ b/modals/key-climate-ocean.html @@ -13,23 +13,33 @@Map of the most recent sea-surface temperature around the Sanctuary.
-
Click for Details
The sea-surface temperature dataset collected via satellite is the Multi-scale Ultra-high Resolution (MUR) SST Analysis fv04.1, Global, 0.01°, 2002-present, Monthly curated by NOAA’s Environmental Research Division (ERD) and served to this website live as a web map service (WMS) from the CoastWatch ERDDAP server. ++Click for Details +
+The sea-surface temperature dataset collected via satellite is the Multi-scale Ultra-high Resolution (MUR) SST Analysis fv04.1, Global, 0.01°, 2002-present, Monthly curated by NOAA’s Environmental Research Division (ERD) and served to this website live as a web map service (WMS) from the CoastWatch ERDDAP server.Trend: Satellite-based SST
- - + +The average sea-surface temperature over time across the Sanctuary. The bar at the bottom of the figure can be used to zoom in to specific dates, using the small slider buttons on either edge of the bar. In the figure, the dark red line is the average temperature, while the lighter pink area indicates the range of that temperature across the Sanctuary (with the area showing everything but the lowest 5% and the highest 5% of the data).
-
Click for Details
The sea-surface temperature dataset collected via satellite is the Multi-scale Ultra-high Resolution (MUR) SST Analysis fv04.1, Global, 0.01°, 2002-present, Monthly curated by NOAA’s Environmental Research Division (ERD) and served to this website live as a web map service (WMS) from the CoastWatch ERDDAP server. ++Click for Details +
+The sea-surface temperature dataset collected via satellite is the Multi-scale Ultra-high Resolution (MUR) SST Analysis fv04.1, Global, 0.01°, 2002-present, Monthly curated by NOAA’s Environmental Research Division (ERD) and served to this website live as a web map service (WMS) from the CoastWatch ERDDAP server.Download timeseries data for sanctuary: statistics_sst_cinms.csv
Trend: SST anomaly
- - + +The anomaly in sea-surface temperature over time across the Sanctuary. Values in red are above the average sea-surface temperature and values in blue are below the average sea-surface temperature. The bar at the bottom of the figure can be used to zoom in to specific dates, using the small slider buttons on either edge of the bar.
-
Click for Details
Sea-surface temperature (SST) anomalies were calculated based upon the method in Reed et al. 2016. Nature Communications 7, 13757. Using the 15-year period of 2003-2017, an average SST was calculated for every month for the Sanctuary. Then, the average SST value for the appropriate month was subtracted from every value in the SST dataset. The resulting numbers are the SST anomalies. The sea-surface temperature dataset collected via satellite is the Multi-scale Ultra-high Resolution (MUR) SST Analysis fv04.1, Global, 0.01°, 2002-present, Monthly curated by NOAA’s Environmental Research Division (ERD) and served to this website live as a web map service (WMS) from the CoastWatch ERDDAP server. ++Click for Details +
+Sea-surface temperature (SST) anomalies were calculated based upon the method in Reed et al. 2016. Nature Communications 7, 13757. Using the 15-year period of 2003-2017, an average SST was calculated for every month for the Sanctuary. Then, the average SST value for the appropriate month was subtracted from every value in the SST dataset. The resulting numbers are the SST anomalies. The sea-surface temperature dataset collected via satellite is the Multi-scale Ultra-high Resolution (MUR) SST Analysis fv04.1, Global, 0.01°, 2002-present, Monthly curated by NOAA’s Environmental Research Division (ERD) and served to this website live as a web map service (WMS) from the CoastWatch ERDDAP server.Download timeseries data for sanctuary: sst_anomaly_cinms.csv
Trend: SST anomaly
Trend: Temperature profile (PnB)
-A figure showing a time-series of temperature profiles (ºC) sampled in the Channel Islands for 1997-2015 (top) and 2009 - 2015 (bottom). Figure: Siegel et al. submitted. Plumes and Blooms
+A figure showing a time-series of temperature profiles (ºC) sampled in the Channel Islands for 1997-2015 (top) and 2009 - 2015 (bottom). Figure: Siegel et al. submitted. Plumes and Blooms
-
Click for Details
Time-series of temperature (°C) profiles at Plumes and Blooms sampling station #4 (34°15.01’N, 119°54.38’W, see Figure D6.2) for (a) 1997-2015 and (b) 2009-2015. While station #4 is outside the sanctuary boundary and there are other sampling sites within the sanctuary, it is the only sampling site that collects measurements throughout the water column, versus from just surface waters. This time-depth contour plot was generated via ordinary krigging with a generalized exponential-Bessel fitting model (GLOBEC Kriging Software Package v3.0), with interpolation length scales of 30 days (time axis) and ten meters (depth axis). The time and location of each actual sample are shown as black dots, allowing the observation of periods where data gaps exist. Note: This is variant of a similar figure shown during the expert workshop. For more information, consult Figure App.D.8.4 in the CINMS 2016 Condition Report. ++Click for Details +
+Time-series of temperature (°C) profiles at Plumes and Blooms sampling station #4 (34°15.01’N, 119°54.38’W, see Figure D6.2) for (a) 1997-2015 and (b) 2009-2015. While station #4 is outside the sanctuary boundary and there are other sampling sites within the sanctuary, it is the only sampling site that collects measurements throughout the water column, versus from just surface waters. This time-depth contour plot was generated via ordinary krigging with a generalized exponential-Bessel fitting model (GLOBEC Kriging Software Package v3.0), with interpolation length scales of 30 days (time axis) and ten meters (depth axis). The time and location of each actual sample are shown as black dots, allowing the observation of periods where data gaps exist. Note: This is variant of a similar figure shown during the expert workshop. For more information, consult Figure App.D.8.4 in the CINMS 2016 Condition Report.
-
Acidification
+Acidification
Aragonite saturation
@@ -275,18 +277,21 @@Aragonite saturation
A figure showing the concentration of the mineral aragonite at different depths at Anacapa Island from 2007 to 2014. Figure credit: Etnoyer et al. 2015.
-
Click for Details
Aragonite saturations are shown at 75 meters (m) (green), 150 m (blue) and 300 m (red) at Anacapa Island. As pH of seawater decreases (e.g., from the deposition of atmospheric CO2), the saturation state of aragonite (Ωarg) decreases. Aragonite undersaturation (Ωarg < 1) favors dissolution over calcification, making it harder for organisms to make and maintain their shells or skeletons in the case of corals. In coastal upwelling zones, such as the California Current, the aragonite saturation state and depth are variable and shallow, respectively. With ocean acidification, aragonite saturation depths have shoaled over the past three decades and are now typically around 200 m in the California Current (Turi et al. 2016). At the local scale at Anacapa Island, the aragonite saturation depth has hovered around 130 m over the past eight years. As strong of a shoaling trend as at the California Current scale has not been seen. Instead, the usual seasonal variation but relatively stable aragonite saturation states over time (no trend), particularly in deep water, have been seen. For more information, consult Figure App.E.10.29 in the CINMS 2016 Condition Report. ++Click for Details +
+Aragonite saturations are shown at 75 meters (m) (green), 150 m (blue) and 300 m (red) at Anacapa Island. As pH of seawater decreases (e.g., from the deposition of atmospheric CO2), the saturation state of aragonite (Ωarg) decreases. Aragonite undersaturation (Ωarg < 1) favors dissolution over calcification, making it harder for organisms to make and maintain their shells or skeletons in the case of corals. In coastal upwelling zones, such as the California Current, the aragonite saturation state and depth are variable and shallow, respectively. With ocean acidification, aragonite saturation depths have shoaled over the past three decades and are now typically around 200 m in the California Current (Turi et al. 2016). At the local scale at Anacapa Island, the aragonite saturation depth has hovered around 130 m over the past eight years. As strong of a shoaling trend as at the California Current scale has not been seen. Instead, the usual seasonal variation but relatively stable aragonite saturation states over time (no trend), particularly in deep water, have been seen. For more information, consult Figure App.E.10.29 in the CINMS 2016 Condition Report.
-
Harmful Algal Blooms
+Harmful Algal Blooms
Trends: Domoic Acid Levels (2012-13)
@@ -295,7 +300,10 @@Trends: Domoic Acid Levels (2012-13)
A figure showing domoic acid levels in commercially-important crustaceans (triangles) and bivalves (circles) collected from the Santa Barbara Channel (2012 - 2013). Red coloration indiciates that the domic acid levels measured above the California Department of Public Health and U.S. Food and Drug Administration action limits. Figure credit: C. Culver/CA Sea Grant, unpublished data.
-
Click for Details
Domoic acid levels in parts per million (ppm) in commercially-important crustaceans (triangles) and bivalves (circles) collected from the Santa Barbara Channel between 2012 and 2013 are shown on the y-axis for (A) animals collected near the shore of the mainland coast, and (B) animals collected offshore the mainland coast or near the northern Channel Islands. In the cases that are colored red, domoic acid levels measured above the California Department of Public Health and U.S. Food and Drug Administration action limits: 20 ppm for meat and 30 ppm for viscera. For more information, consult Figure App.D.7.1 in the CINMS 2016 Condition Report. ++Click for Details +
+Domoic acid levels in parts per million (ppm) in commercially-important crustaceans (triangles) and bivalves (circles) collected from the Santa Barbara Channel between 2012 and 2013 are shown on the y-axis for (A) animals collected near the shore of the mainland coast, and (B) animals collected offshore the mainland coast or near the northern Channel Islands. In the cases that are colored red, domoic acid levels measured above the California Department of Public Health and U.S. Food and Drug Administration action limits: 20 ppm for meat and 30 ppm for viscera. For more information, consult Figure App.D.7.1 in the CINMS 2016 Condition Report.
@@ -303,7 +311,7 @@
Map: Harmful Algal Bloom (2015)
@@ -312,34 +320,43 @@Map: Harmful Algal Bloom (2015)
A map showing an unprecedented West Coast-wide harmful algal bloom (HAB) that extended from the Gulf of Alaska to southern California. March 2015 (left, before the HAB) as compared to May (right, during the HAB). Data source: Satellite data were obtained from the National Aeronautics and Space Administration Ocean Biology Processing Group (OBPG) using a combination of the MODerate resolution Imaging Spectroradiometer (MODIS) on Aqua and Visible Infrared Imaging Radiometer Suite (VIIRS) chlorophyll products. Data were processed using standard OBPG processing with 4 kilometer imagery. Figure credit: McCabe et al. 2016.
-
Click for Details
In May 2015, an unprecedented West Coast-wide harmful algal bloom (HAB) extended from the Gulf of Alaska to southern California. The bloom was composed of Pseudo-nitzschia, a toxigenic diatom that has the ability to produce domoic acid, a potent neurotoxin that can cause amnesic shellfish poisoning (ASP) and threaten human health if affected shellfish are consumed. These satellite images show chlorophyll-a estimates averaged over the periods of March 27-31, 2015 (left panel), and May, 6-8, 2015 (right panel). For more information, consult Figure App.D.7.3 in the CINMS 2016 Condition Report. ++Click for Details +
+In May 2015, an unprecedented West Coast-wide harmful algal bloom (HAB) extended from the Gulf of Alaska to southern California. The bloom was composed of Pseudo-nitzschia, a toxigenic diatom that has the ability to produce domoic acid, a potent neurotoxin that can cause amnesic shellfish poisoning (ASP) and threaten human health if affected shellfish are consumed. These satellite images show chlorophyll-a estimates averaged over the periods of March 27-31, 2015 (left panel), and May, 6-8, 2015 (right panel). For more information, consult Figure App.D.7.3 in the CINMS 2016 Condition Report.
-
Chlorophyll
+Chlorophyll
Map: Satellite-based (CoastWatch)
- - + +Map of the most recent Chlorophyll-a that indicates productivity by phytoplankton, the plant base of the food chain in the ocean.
-
Click for Details
The Chlorophyll-a dataset collected via satellite is the Chlorophyll, NOAA VIIRS, Science Quality, Global, Level 3, 2012-present, Monthly curated by NOAA’s Environmental Research Division (ERD) and served to this website live as a web map service (WMS) from the CoastWatch ERDDAP server. These data were provided by NOAA’s Center for Satellite Applications & Research (STAR) and the CoastWatch program and distributed by NOAA/NMFS/SWFSC/ERD. ++Click for Details +
+The Chlorophyll-a dataset collected via satellite is the Chlorophyll, NOAA VIIRS, Science Quality, Global, Level 3, 2012-present, Monthly curated by NOAA’s Environmental Research Division (ERD) and served to this website live as a web map service (WMS) from the CoastWatch ERDDAP server. These data were provided by NOAA’s Center for Satellite Applications & Research (STAR) and the CoastWatch program and distributed by NOAA/NMFS/SWFSC/ERD.Trend: Satellite-based (CoastWatch)
- - + +The average chlorophyll concentration over time across the Sanctuary. Chlorophyll concentration is a measure of productivity by phytoplankton, the plant base of the food chain in the ocean. The bar at the bottom of the figure can be used to zoom in to specific dates, using the small slider buttons on either edge of the bar. In the figure, the dark green line is the average chlorophyll concentration. The lighter green area indicates the range of that chlorophyll concentration across the Sanctuary (with the area showing everything but the lowest 5% and the highest 5% of the data).
-
Click for Details
The Chlorophyll-a dataset collected via satellite is the Chlorophyll, NOAA VIIRS, Science Quality, Global, Level 3, 2012-present, Monthly curated by NOAA’s Environmental Research Division (ERD) and served to this website live as a web map service (WMS) from the CoastWatch ERDDAP server. These data were provided by NOAA’s Center for Satellite Applications & Research (STAR) and the CoastWatch program and distributed by NOAA/NMFS/SWFSC/ERD. ++Click for Details +
+The Chlorophyll-a dataset collected via satellite is the Chlorophyll, NOAA VIIRS, Science Quality, Global, Level 3, 2012-present, Monthly curated by NOAA’s Environmental Research Division (ERD) and served to this website live as a web map service (WMS) from the CoastWatch ERDDAP server. These data were provided by NOAA’s Center for Satellite Applications & Research (STAR) and the CoastWatch program and distributed by NOAA/NMFS/SWFSC/ERD.Download timeseries data for sanctuary: statistics_chl_cinms.csv
-
@@ -366,10 +389,10 @@ Nutrients
+Nutrients
Trend: Nitrate profile (PnB)
@@ -347,7 +364,10 @@
Trend: Nitrate profile (PnB)
A figure showing nitrate concentrations (a form of organic nitrogen) at a Plumes and Blooms sampling station from 1997 - 2015 (top) and 2009 - 2015 (bottom). Figure: Siegel et al. submitted. [Plumes and Blooms] (http://www.oceancolor.ucsb.edu/plumes_and_blooms)
-
Click for Details
Nitrate concentrations (NO3 μmol/L) at Plumes and Blooms sampling station #4 (34°15.01’N, 119°54.38’W, see Figure D6.2) for (a) 1997-2015; and (b) 2009-2015, a subset of Figure D6.6a of the years since the last condition report. While station #4 is outside the sanctuary boundary and there are other sampling sites within the sanctuary, it is the only sampling site that collects measurements throughout the water column, versus from just surface waters. This time-depth contour plot was generated via ordinary krigging with a generalized exponential-Bessel fitting model (GLOBEC Kriging Software Package v3.0), with interpolation length scales of 30 days (time axis) and ten meters (depth axis). The time and location of each actual sample are shown as black dots, allowing the observation of periods where data gaps exist. For more information, consult Figure App.D.6.5 in the CINMS 2016 Condition Report. ++Click for Details +
+Nitrate concentrations (NO3 μmol/L) at Plumes and Blooms sampling station #4 (34°15.01’N, 119°54.38’W, see Figure D6.2) for (a) 1997-2015; and (b) 2009-2015, a subset of Figure D6.6a of the years since the last condition report. While station #4 is outside the sanctuary boundary and there are other sampling sites within the sanctuary, it is the only sampling site that collects measurements throughout the water column, versus from just surface waters. This time-depth contour plot was generated via ordinary krigging with a generalized exponential-Bessel fitting model (GLOBEC Kriging Software Package v3.0), with interpolation length scales of 30 days (time axis) and ten meters (depth axis). The time and location of each actual sample are shown as black dots, allowing the observation of periods where data gaps exist. For more information, consult Figure App.D.6.5 in the CINMS 2016 Condition Report.
@@ -357,7 +377,10 @@
Trend: Phosphate profile (PnB)
A figure showing phosphate concentrations (a form of organic phosophorous) at a Plumes and Blooms sampling station from 1997 - 2015 (top) and 2009 - 2015 (bottom). Figure: Siegel et al. submitted. [Plumes and Blooms] (http://www.oceancolor.ucsb.edu/plumes_and_blooms)
-
Click for Details
Phosphate concentration (PO4 μg/L) at Plumes and Blooms sampling station #4 (34°15.01’N, 119°54.38’W, see Figure D6.2) for (a) 1997-2015; and (b) 2009-2015 a subset of Figure D6.7a of the years since the last condition report. While station #4 is outside the sanctuary boundary and there are other sampling sites within the sanctuary, it is the only sampling site that collects measurements throughout the water column, versus from just surface waters. This time-depth contour plot was generated via ordinary krigging with a generalized exponential-Bessel fitting model (GLOBEC Kriging Software Package v3.0), with interpolation length scales of 30 days (time axis) and ten meters (depth axis). The time and location of each actual sample are shown as black dots, allowing the observation of periods where data gaps exist. Figure: Siegel et al. submitted. Plumes and Blooms: http://www.oceancolor.ucsb.edu/plumes_and_blooms For more information, consult Figure App.D.6.6 in the CINMS 2016 Condition Report. ++Click for Details +
+Phosphate concentration (PO4 μg/L) at Plumes and Blooms sampling station #4 (34°15.01’N, 119°54.38’W, see Figure D6.2) for (a) 1997-2015; and (b) 2009-2015 a subset of Figure D6.7a of the years since the last condition report. While station #4 is outside the sanctuary boundary and there are other sampling sites within the sanctuary, it is the only sampling site that collects measurements throughout the water column, versus from just surface waters. This time-depth contour plot was generated via ordinary krigging with a generalized exponential-Bessel fitting model (GLOBEC Kriging Software Package v3.0), with interpolation length scales of 30 days (time axis) and ten meters (depth axis). The time and location of each actual sample are shown as black dots, allowing the observation of periods where data gaps exist. Figure: Siegel et al. submitted. Plumes and Blooms: http://www.oceancolor.ucsb.edu/plumes_and_blooms For more information, consult Figure App.D.6.6 in the CINMS 2016 Condition Report.Note: This is variant of a similar figure shown during the expert workshop.
Trend: Nitrate anomaly
Trend: Nitrate anomaly
A figure showing unexpected monthly temperature differences (top) and corresponding nitrate concentrations (bottom) from 2001 - 2015. Data were collected at 7-10 meters depth. Figure: Reed et al. 2016
-