Fig 1.
Study area showing the 32 sub-regions used in the Dinamica simulations.
These sub-regions include 27 Core Base Statistical Areas (CBSA) as defined by the U.S. Census and 5 non-CBSA regions. Non-CBSA regions are denoted with an asterisk. Additionally, the three sub-regions chosen as case studies are Boston-Cambridge-Newton (7), Claremont-Lebanon (9), and Portland-South Portland (17).
Table 1.
Variables used to predict spatial location of forest loss within Dinamica EGO land cover simulations.
Fig 2.
Rates of forest conversion to development for the three reference periods used in this study: 1990–2000, 2000–2010, and 1990–2010.
Value below each reference period title signifies total forest area lost per year.
Fig 3.
Edge density by sub-region (a, b, c, d) and total edge density (text above each map) for 1990 (a), and 2060 using three reference periods (b, c, d). Change in edge density by sub-region using three reference periods and fifty years of simulation (e, f, g).
Fig 4.
Forest to low density development weights.
Mean positive W+ by sub-region for simulated transitions from forest to low density development during the first time-step of simulation. Size of pie charts is proportional to the mean sum of W+. Proportions within pie charts show relative contribution of W+ within sub-regions.
Fig 5.
Forest to high density development weights.
Mean positive W+ by sub-region for simulated transitions from forest to high density development during the first time step of simulation. Size of pie charts is proportional to the mean sum of W+. Proportions within pie charts show relative contribution of W+ within sub-regions.
Fig 6.
Variation in W+ for distance to development (A), population density (B), and distance to roads (C) for three example sub-regions. See Fig 1 for numbered sub-region locations. Weights (W+) above zero increase the probability of development; weights below zero decrease probability of development.