(A) Landscape at time of forest establishment. The distribution on the left is a schematic illustration of a water level exceedance probability function. Mean sea level (MSL) is labeled (solid blue line). A threshold exceedance probability for regeneration is mapped onto a threshold elevation and horizontal position (solid green lines). Below this elevation, young trees cannot grow. (B) Landscape after sea level rise. The threshold probability remains constant, but the distribution of water levels changes with sea level (SLR; initial MSL labeled with dashed blue line). so that the regeneration boundary must move upslope (from the dashed green line to the solid green line). Figure reproduced from [34].</p
Earth system models must predict forest responses to global change in order to simulate future globa...
The State of Florida (USA) is especially threatened by sea level rise due to extensive low elevation...
ISLAND is a model designed to simulate annual changes in vegetation, geomorphology, water table dept...
The colored trees represent individuals of the target species, and the grey circumferences represent...
Society needs information about how vegetation communities in coastal regions will be impacted by hy...
The sea level rise metric estimates the probability of the focal cell being unable to adapt to predi...
As sea level rises in low-lying coastal islands, salt-tolerant (halophytic) coastal vegetation commu...
Despite the commercial importance, and abundant harvest, of eastern white pine (Pinus strobus L.) in...
Understanding changes in wave attenuation by emergent vegetation as wetlands degrade or accrete over...
The mechanisms through which tropical trees, and thereby tropical forest areas, regenerate themselve...
<p>A conceptual model of the postulated recovery progress of the David aspen forest after warming-in...
Linking regeneration activities to desired future forest conditions is a critical component of susta...
Over the past decade, strategies such as the Building with Nature have made coastal managers aware t...
The impact of sea-level rise on salt marsh sustainability is examined for the lower St. Johns River ...
Ellipses represent model input and rectangles represent models. Unbounded text indicates model outpu...
Earth system models must predict forest responses to global change in order to simulate future globa...
The State of Florida (USA) is especially threatened by sea level rise due to extensive low elevation...
ISLAND is a model designed to simulate annual changes in vegetation, geomorphology, water table dept...
The colored trees represent individuals of the target species, and the grey circumferences represent...
Society needs information about how vegetation communities in coastal regions will be impacted by hy...
The sea level rise metric estimates the probability of the focal cell being unable to adapt to predi...
As sea level rises in low-lying coastal islands, salt-tolerant (halophytic) coastal vegetation commu...
Despite the commercial importance, and abundant harvest, of eastern white pine (Pinus strobus L.) in...
Understanding changes in wave attenuation by emergent vegetation as wetlands degrade or accrete over...
The mechanisms through which tropical trees, and thereby tropical forest areas, regenerate themselve...
<p>A conceptual model of the postulated recovery progress of the David aspen forest after warming-in...
Linking regeneration activities to desired future forest conditions is a critical component of susta...
Over the past decade, strategies such as the Building with Nature have made coastal managers aware t...
The impact of sea-level rise on salt marsh sustainability is examined for the lower St. Johns River ...
Ellipses represent model input and rectangles represent models. Unbounded text indicates model outpu...
Earth system models must predict forest responses to global change in order to simulate future globa...
The State of Florida (USA) is especially threatened by sea level rise due to extensive low elevation...
ISLAND is a model designed to simulate annual changes in vegetation, geomorphology, water table dept...