Eastern Division Conservation of The Nature Conservancy, The Nature Conservancy
20151221
LakesPonds
vector digital data
TNC attributes transferred from original 1:100,000-scale source to 1:24,000-scale NHD features by NH Fish and Game Department, 17 March 2016.
We developed a mapped classification of lakes and ponds based on variables that structure lacustrine natural communities and that could be mapped consistently across Northeastern US. The classification was built upon four key attributes: water temperature, trophic state, alkalinity, and depth. Water temperature was mapped into three classes (very cold, cold, and warm-cool) to reflect the requirements and limits of aquatic organisms. Trophic states, representing the productivity of a lake, were mapped into two classes (oligomesotrophic -mesotrophic and eutrophic- hypereutrophic). Alkalinity was grouped into three classes (high, medium, low) to reflect how well the lake system was buffered from acidification. Depth was divided into two classes (lake, pond) based on a light penetration zone, using maximum depth and trophic state as a proxy for this zone. A steering committee of state and regional experts contributed sampled data with measured values of these and other variables for waterbodies in their states. To create the mapped classification, we compiled the location of every waterbody in the region (n = 36, 675) , and for each waterbody we generatedover 300 descriptive attributes including: morphology, dams, climate, soils, geology, conservation lands, landforms, and land cover in the buffer zone or watershed. We used Random Forest software to develop a predictive model for each classification variable class based on the sampled data points and the descriptive attribute variables, and we then extrapolated the model to the unsampled waterbodies to estimate their class. After estimating each variable class, all waterbodies were assigned to one of 18 classification types based on the combination of 3 variables, temperature + trophic + alkalinity class. These types can be further subdivided into lake or pond categories to yield mapped occurrences, for example: cold, oligo-mesotrophic, low alkalinity, lake. The 18 primary lake and pond types are described in the addition to the “Northeast Terrestrial and Aquatic Habitat Guide”, December 2015.
The objective of this project was to develop a mapped ecological classification of lakes and ponds. This classification was envisioned to represent the lakes and ponds using key variables that structure lacustrine natural communities that could be mapped consistently across all lakes and ponds in the region. These variables would be vetted and developed based on recommendations from a lake classification steering committee of experts from the northeast.
20151221
20200416
DATASET REVISED AS OF 4-16-2020
As needed
-72.641508
-69.928778
45.412704
42.445106
None
Lakes; lacustrine; habitat classification; lake classification
None
The Nature Conservancy compiled this data set from publicly available data sources and this data is freely distributable without permission from Eastern Division Conservation Science. This data set must be cited on all electronic and hard copy products using the language of the Data Set Credit. The Nature Conservancy shall not be held liable for improper or incorrect use of the data described and/or contained herein. Any sale, distribution, loan, or offering for use of these digital data, in whole or in part, is prohibited without the approval of The Nature Conservancy. The use of these data to produce other GIS products and services with the intent to sell for a profit is prohibited without the written consent of The Nature Conservancy. All parties receiving these data must be informed of these restrictions. The Nature Conservancy shall be acknowledged as data contributors to any reports or other products derived from these data.
The Nature Conservancy reserves all rights in data provided. All data are provided as is. This is not a survey quality dataset. The Nature Conservancy makes no warranty as to the currency, completeness, accuracy or utility of any specific data. This disclaimer applies both to individual use of the data and aggregate use with other data. It is strongly recommended that careful attention be paid to the contents of the metadata file associated with these data.
Microsoft Windows 10 Version 1903; Esri ArcGIS Desktop 10.7.1.11595; Esri ArcGIS Pro 2.5.0
Vector
GT-polygon composed of chains
15627
NAD_1983_StatePlane_New_Hampshire_FIPS_2800_Feet
LakesPonds
OBJECTID
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Feature geometry.
Esri
Coordinates defining the features.
Permanent_
NHD High Resolution Permanent ID
NHD
FDate
Feature date
NHD
Resolution
Feature resolution
NHD
GNIS_ID
GNIS identifier
GNIS
GNIS_Name
Name of the water body
GNIS
Elevation
Elevation
DEM
ReachCode
Reach code
NHD
NHFGID
unique numeric ID for each water body
NH Fish and Game Department
Acres
surface area in acres
calculated
Hectares
surface area in hectares
calculated
MAXDEPTH_M
maximum depth in meters
NH Dept. of Environmental Services
NHFISHERY
Temperature class of fishery
NH Fish and Game Department
NHFISHNOTE
Supplemental info of fishery
NH Fish and Game Department
TOP25
Top-Ranked Lake or Pond if value is greater than zero
NH Fish and Game Department
TNC_NUMID
TNC unique numeric ID for each waterbody
TNC
MAXFT
Maximum depth in feet
TNC
DEPTHSRC
Source for depth value
TNC
TYPENUM
TNC
TYPE
Descriptive name for the 18 types, based on unique combinations of 3 temperature classes + 2 trophic classes + 3 alkalnity classes; same as abbreviation codes in field T3_TR2_A3
TNC
T3_TR2_A3
Abbreviation for the 18 types based on unique combinations of 3 temperature classes + 2 trophic classes + 3 alkalnity classes: 1st value is temperature class (VC = Very Cold, C = Cold, CCW = Cool-Warm), 2nd value is trophic class (OM = oligotrophic to mesotrophic, EH = eutrophic to hypereutrophic), 3rd value is alkalinity class (H= high, M = medium, L = low)
TNC
T3TR2A3D2
Abbreviation for unique combinations of 3 temperature classes + 2 trophic classes + 3 alkalnity classes + 2 depth classes: 1st value is temperature class (VC = Very Cold, C = Cold, CCW = Cool-Warm), 2nd value is trophic class (OM = oligotrophic to mesotrophic, EH = eutrophic to hypereutrophic), 3rd value is alkalinity class (H= high, M = medium, L = low), the 4th value is depth class (pond, lake)
TNC
T4_TR2_A3
Abbreviation for unique combinations based on 4 temperature classes + 2 trophic classes + 3 alkalnity classes: 1st value is temperature class (VC = Very Cold, C = Cold, CC = Cold-Cool, W =Warm), 2nd value is trophic class (OM = oligotrophic to mesotrophic, EH = eutrophic to hypereutrophic), 3rd value is alkalinity class (H= high, M = medium, L = low)
TNC
T4TR2A3D2
Abbreviation for unique combinations based on 4 temperature classes + 2 trophic classes + 3 alkalnity classes + 2 depth classes: 1st value is temperature class (VC = Very Cold, C = Cold, CC = Cold-Cool, W =Warm), 2nd value is trophic class (OM = oligotrophic to mesotrophic, EH = eutrophic to hypereutrophic), 3rd value is alkalinity class (H= high, M = medium, L = low), 4th value is depth class (pond, lake)
TNC
OUT_TEMP3
output 3 temperature class code: VC = Very Cold, C = Cold, CCW =Cool to Warm
TNC
OUT_TEMP4
output 4 temperature class code: VC = Very Cold, C = Cold, CC = Cool, W =Warm
TNC
CONF_TEMP3
Confidence in the output temperature 3 class code: Known: Variable class based on sample data; others based on difference in maximum probability and second highest probability of class membership output from the model as 1. High Confidence: Difference in greater than >= 25%, 2. Medium Confidence: Difference >= 10 and <25%, 3. Low Confidence: Difference between >=5 and < 10%, 4. Very Low Confidence: Difference less than 5%
TNC
CONF_CC_W
Confidence in the output temperature Cool (CC) vs. Warm (W) class code: Known: Variable class based on sample data, then based on difference in maximum probability and second highest probability of class membership output from the model as 1. High Confidence: Difference in greater than >= 25%, 2. Medium Confidence: Difference >= 10 and <25%, 3. Low Confidence: Difference between >=5 and < 10%, 4. Very Low Confidence: Difference less than 5%
TNC
OUT_TROPCL
Output trophic class, OM = oligotrophic to mesotrophic, EH = eutrophic to hypereutrophic
TNC
CONF_TROP
Confidence in the output trophic class code: Known: Variable class based on sample data; others based on difference in maximum probability and second highest probability of class membership output from the model as 1. High Confidence: Difference in greater than >= 25%, 2. Medium Confidence: Difference >= 10 and <25%, 3. Low Confidence: Difference between >=5 and < 10%, 4. Very Low Confidence: Difference less than 5%
TNC
OUT_ALKCL
output alkalinity class H= high, M = medium, L = low
TNC
CONF_ALKCL
Confidence in the output trophic class code: Known: Variable class based on sample data; others based on difference in maximum probability and second highest probability of class membership output from the model as 1. High Confidence: Difference in greater than >= 25%, 2. Medium Confidence: Difference >= 10 and <25%, 3. Low Confidence: Difference between >=5 and < 10%, 4. Very Low Confidence: Difference less than 5%
TNC
DEPTH_CL
output depth class, pond or lake; based on rules regarding depth of light penetration for waterbodies of a given trophic class: Oligo-Mesotrophic ponds = 0-20ft, lakes >20ft; Eutrophic-hypereutrophic ponds 0-10ft, lakes >10ft.
TNC
OVERRIDE
Text describing why this waterbody was changed from its modeled class into another class. Ususally reasons were due to state expert comments received during the review period Oct-Nov 2015
TNC
Hab_guide
hyperlink to habitat guide
TNC
SPPCONCERN
P = Fish and Mussel Species of Conservation Concern present in water body
NH Fish and Game Department
HerringStock
Y = River herring stock location
NH Fish and Game Department
WAPSPECIES
List of Fish and Mussel Species of Conservation Concern present in water body
NH Fish and Game Department
BridleShiner
P = Bridle Shiner present in water body
NH Fish and Game Department
EBT
P = wild brook trout present in water body
NH Fish and Game Department
Shape_Length
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20190412
NH Fish and Game Department
GIS Coordinator
mailing and physical
11 Hazen Dr
Concord
NH
03301
603-271-3014
catherine.callahan@doit.nh.gov
FGDC Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
local time