The following description provides an overview of the various Forest Value Indices that were used to develop the
composite Rank for each unique property parcel within the study area. In all cases, individual indices were
calculated as a raster with a resolution of 20m. The ranking of each index at a parcel level is provided.
Premises Identification Number which uniquely identifies individual properties within Nova Scotia.
The overall Forest Value Index Rank is based on the 19 Forest Indices described below. All private and
corporately owned properties within the project area were ranked from 1 to 10, with 1 being the highest rank
and 10 being the lowest.
The size of parcel in hectares.
Recent harvest areas derived from aerial Lidar based canopy height models. Individual parcels have been ranked
based on:
RH_rank |
Classification Rule |
1 |
Recent harvest <= 35 % of parcel area |
2 |
66% > Recent harvest <= 35% |
3 |
Recent harvest >= 66 % of parcel area |
Forest stands considered to be mature based on height land capability relationships and ranked as follows:
M_rank |
Classification Rule |
1 |
Mature forest > 1 % of parcel area |
Crown density derived from aerial Lidar based canopy height models. Resultant 20m resolution raster values
have been classified for each parcel based on:
FD_rank |
Classification Rule |
1 |
100 % >(standard deviation/mean)*100 <= 75 % |
2 |
75 % >(standard deviation/mean)*100 <= 35% |
3 |
35 % >(standard deviation/mean)*100 <= 0% |
Forest structure from aerial Lidar based canopy height models using a Terrain Ruggedness Index. The greater
the height variation of the forest canopy, the greater the Terrain Rugged Index value. The resultant 20 m raster
values were evaluated for each parcel based on the following:
FS_rank |
Classification Rule |
1 |
100 % >(standard deviation/mean)*100 <= 35 % |
2 |
35 % >(standard deviation/mean)*100 <= 15% |
3 |
15 % >(standard deviation/mean)*100 <= 0% |
The forest productivity was extracted from the FID base. Each parcel was assessed and the median value was
classified based on the following:
FP_rank |
Classification Rule |
1 |
Softwood Site > 6 or Hardwood Site = 4 |
2 |
Softwood Site => 5 and <= 6 or Hardwood Site = 3 |
3 |
Softwood Site < 5 or Hardwood Site = 2 |
Wetlands were extracted from the FID database and a binary raster layer was generated for the study area.
Individual land parcels were classified using the following criteria:
W_rank |
Classification Rule |
1 |
Wetland > 5 % of parcel area |
Forested areas within the database were extracted from the FID. A binary raster layer was subsequently
generated and the following ranking scheme was applied to each parcel:
F_rank |
Classification Rule |
1 |
Forested >= 80% of parcel area |
2 |
60% > Forested < 80% |
3 |
Forested <= 60% of parcel area |
The Nova Scotia Provincial Silviculture Database was used to determine if active forest management had been
completed in the past. Each of the individual parcels were evaluated and if there was some activity on the parcel
it was ranked as 1 (see below):
PM_rank |
Classification Rule |
1 |
Past management > 1 % of parcel area |
Paved road density was calculated from the Nova Scotia Topographic Database. Paved roads were extracted
from the database and total road length per square km was calculated for a 1 km by 1 km grid for the study area.
Each parcel was evaluated to determine if it was located in a grid cell with a paved road density greater than 0.
The following ranking scheme was then applied to each parcel:
PRD_rank |
Classification Rule |
1 |
Paved road density(gt0) <= 50% of parcel area |
2 |
75% > Paved road density(gt0) < 50% |
3 |
Paved road density(gt0) >= 75% of parcel area |
Unpaved road density was calculated using the same approach as the paved road density as described above
and the following classification was applied to each parcel:
uPRD_rank |
Classification Rule |
1 |
Paved road density(gt0) <= 50% of parcel area |
2 |
75% > Paved road density(gt0) < 50% |
3 |
Paved road density(gt0) >= 75% of parcel area |
A Canada Warbler habitat model was developed using the provincial Lidar based canopy height model (CHM), a
Lidar based shrub density layer developed by the Atlantic Canada Conservation Data Center and the provincial
wet areas mapping database. The following parameters were used to identify areas were all four parameters
intersect:
Model Parameter |
Threshold |
Shrub density |
60 – 90% |
Canopy height |
5 - 10m |
Canopy closure |
30 – 60% |
Soil depth to water |
< 50 cm |
The resultant raster was used to assessed each parcel to determine the amount of modeled habitat that
occurred. A rank was assigned to based on the following criteria:
IS_rank |
Classification Rule |
1 |
Canada Warbler Habitat >= 1.2 ha per parcel |
2 |
0.8 ha per parcel > Canada Warbler Habitat < 1.2 ha per parcel |
3 |
Canada Warbler Habitat <= 0.8 ha per parcel |
Invasive forest pests identified by Canadian Food Inspection Agency through formal infested place orders have
been mapped across the study area. The list of pests include:
As infested place orders are province wide for Brown Spruce Long Horn Beetle and Emerald Ash Borer, the
existing restrictions for Hemlock Woolly Adelgid were the only ones used for the analysis. The classification was
based on the following:
IvS_rank |
Classification Rule |
1 |
Hemlock Woolly Adelgid > 5 % per parcel |
Habitat connectivity was modeled using proximity to water and patches of forest land that are removed from
roads. The provincial topographic database was used to create a 100 m buffer along streams, rivers, and lakes
that contain visible water. All roads from the same database were used to locate patches of forest land that were
further than 500m from roads.
The resulting data were used to assess individual parcels based on the following criteria:
C_rank |
Classification Rule |
1 |
Connectivity habitat > 5 % per parcel |
Protection was modeled as the distance to existing parks, protected areas, conservation lands and properties
with conservation easements.
The mean parcel distance to the closest protected area was used as the criteria to rank this index component as
shown below:
P_rank |
Classification Rule |
1 |
Mean distance to protected area <= 1 km |
2 |
1 km > Mean distance to protected area < 5 km |
3 |
Mean distance to protected area >= 5 km |
An existing SAR database developed by the Nature Conservancy of Canada was updated with the current Critical
Habitat for Species at Risk maintained by Environment and Climate Change Canada. The existence of SAR
habitat or known populations have been classified into the following groups:
Atlantic Coastal Plain Flora
Bird
Reptile
Lichen
Bats
Vascular plants
The presence of each of these groups on a parcel level were used to develop a rank based on the following
schema:
SAR_rank |
Classification Rule |
1 |
A total of 4 or 5 group occurrences |
2 |
A total of 2 or 3 group occurrences |
3 |
A total of 1 group occurrence |
An existing database developed by the Nature Conservancy of Canada was used to identify other values of
conservation concern. The database was updated using the Critical Habitat for Species at Risk database (ECCC).
The following parcel level classifications were included in this Forest Value item:
Shorebirds
Older forested wetland
Older forest
Salt Marsh
Intact Floodplain
Calcareous habitat
Near urban
Critical Holdings
o_rank |
Classification Rule |
1 |
A total of 4 or 5 group occurrences |
2 |
A total of 2 or 3 group occurrences |
3 |
A total of 1 group occurrence |
Intact forest was determined by selecting all the clumps of forest with a canopy height greater than 10 m in
height that had a contiguous area greater than 10 ha in size.
The following ranking scheme was applied to each parcel within the study area:
IF_rank |
Classification Rule |
1 |
Intact forest >25% of parcel area |
Parcel statistics within each of the sub watersheds were calculated. Parcels that exceeded the mean parcel size
plus 1 standard deviation where selected as the largest parcels within the respective sub-watershed.
Terrestrial Resiliency as classified by the Nature Conservancy. Sites classified as least and less resilient were
selected from the original TNC database. Individual parcels were given a rank of 1 if more than 5% of the parcel
area contained these low resiliency sites.