MK_Fragmentation | R Documentation |
Calculate patches/nodes and landscape statistics
MK_Fragmentation(
nodes = NULL,
edge_distance = 500,
min_node_area = 100,
landscape_area = NULL,
area_unit = "ha",
perimeter_unit = "km",
plot = FALSE,
write = NULL
)
nodes |
Object of class |
edge_distance |
|
min_node_area |
|
landscape_area |
|
area_unit |
|
perimeter_unit |
|
plot |
|
write |
|
Patch/node and landscape statistics:
1) Patches Area in square kilometers.
2) Number patches.
3) Mean size of patches.
4) Number of patches smaller than the parameter min_node_area
(default = 100 km2).
5) Percentage of patches smaller than the parameter min_node_area
(default = 100 km2).
6) Total patch edge. Total perimeter of the patches (unit = perimeter_unit
).
7) Edge density. Total perimeter per unit of area (unit = area_unit
), default = km2. A value of 0 is present when there is no edge in the landscape.
8) Patch density.
9) Total core area (units = area_unit
) considering the distance set in the parameter edge_distance
(delfault = 500 m).
10) Cority index. It is a measure of fragmentation with respect to a distance from the core area (parameter edge_distance
; delfault = 500 m), where a value of 1 indicates a landscape without fragmentation. Average for landscape level.
11) Shape Index. A simple shape metric that takes values from 1 (perfectly compact) to infinity is derived by dividing the perimeter by the perimeter of a circle of the same area. Average for landscape level.
12) Fractal dimension. The index reflects the complexity of the shape of the fragment. A fractal dimension greater than 1 indicates an increase in the complexity of the shape. When the value is close to 1 the shape is simple, such as squares.Average for landscape level.
13) Effective Mesh Size. Effective Mesh Size (MESH) is a measure of the degree of fragmentation in the landscape ranging from 0 to the total landscape area. MESH is maximum when the landscape unit consists of a single habitat fragment or the habitat is continuous beyond the landscape unit analyzed (Moser, 2007).
14) Core percent (patch level). Percentage of core area in the patch (units = area_unit
) considering the distance set in the parameter edge_distance
(delfault = 500 m).
15) Edge percent (patch level). Percentage of edge in the patch (units = area_unit
) considering the distance set in the parameter edge_distance
(delfault = 500 m).
16) PARA (patch level). Ratio of the patch perimeter to area.
*NOTE.* In the results we use the term patches instead of nodes due to the common use of this term in fragmentation statistics in science.
Haddad et al. (2015). Science Advances 1(2):e1500052. https://www.science.org/doi/10.1126/sciadv.1500052.
McGarigal, K., S. A. Cushman, M. C. Neel, and E. Ene. 2002. FRAGSTATS: Spatial Pattern Analysis Program for Categorical Maps. Computer software program produced by the authors at the University of Massachusetts, Amherst. Available at the following web site:
www.umass.edu/landeco/research/fragstats/fragstats.html.
Moser, B., Jaeger, J.A.G., Tappeiner, U. et al. Modification of the effective mesh size for measuring landscape fragmentation to solve the boundary problem. Landscape Ecol 22, 447–459 (2007). https://doi.org/10.1007/s10980-006-9023-0
data("habitat_nodes", package = "Makurhini")
nrow(habitat_nodes) # Number of nodes
fragmentation <- MK_Fragmentation(nodes = habitat_nodes, edge_distance = 1000, plot = TRUE)
#Table
fragmentation$`Summary landscape metrics (Viewer Panel)`
#Shapefile
fragmentation$`Patch statistics shapefile`
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