(A) The model validation curve comparing the similarity of the model result for 2000 to the JRC classified map. (B) The spatial distribution of which patches validate well.

<p>Overall, the larger patches validate better than the smaller ones.</p

The value of land as determined by using an average value per species.

<p>The value of land as determined by using an average value per species.</p

(A) The annual profit from the no-biodiversity model and the optimization scenario with biodiversity as part of the variable costs; (B) The amount of land bought per year in the original and biodiversity models.

<p>(A) The annual profit from the no-biodiversity model and the optimization scenario with biodiversity as part of the variable costs; (B) The amount of land bought per year in the original and biodiversity models.</p

Study site is the State of Minas Gerais, an interior state in Brazil.

<p>County land prices are taken from the northern region of this state. Left: Reprinted from Google Maps under a CC BY license with permission from Google,2013; Right Image compiled using the Dinamica EGO software using political borders available from the IBGE, 2015.</p

Model description and simulation data inputs, parameters, and workflow.

<p>Model description and simulation data inputs, parameters, and workflow.</p

The remaining Cerrado land and the cumulative value of the Cerrado deforested between 2010 and 2023.

<p>The remaining Cerrado land and the cumulative value of the Cerrado deforested between 2010 and 2023.</p

Results from Dinamica EGO model simulation showing the landscape composition for the year 2015.

<p>The scenarios run were business as usual (A), increased deforestation from the Forest Code revisions (B), and decreased deforestation rates from meeting the Aichi Biodiversity Target (C). A biome map (D) is included for a point of reference of where the main changes occur by biome (Map freely available from the IBGE geographic datasets). Image reprinted under a CC License with permission from Kayla Stan, 2015.</p

Physiognomic types of the Cerrado <i>sensulato</i> ecosystem in the study area of Serra do Cipò, NP.

<p>The entire visible landscape together is Cerrado <i>sensulato</i>. The vegetation subtypes are texturally distinguishable and outlined. Campo rupestre is on the rocky hill in the foreground. The canopy trees beyond that are Cerradão, followed by the shorter sparse canopy of Cerrado <i>sensu stricto</i> and a quick transition into the grassland Campos beyond that.</p

Relationships between and modified NDVI at 705nm (mND705) and Specific Leaf Area (SLA), Carotenoids and Total Chlorophyll concentration for Lianas, Trees and Shrubs.

<p>Relationships between and modified NDVI at 705nm (mND705) and Specific Leaf Area (SLA), Carotenoids and Total Chlorophyll concentration for Lianas, Trees and Shrubs.</p

Summary statistics for woody plant species of the Cerrado.

<p>CHL = Total Chlorophylls A + B (mol), Car = Carotenoids (mol), EPhen = Polyphenol content,%H2O = Percentage. Leaf Water Content, SLA = Specific Leaf Area (m2 kg-1), LeafThick = Leaf thickness (mm), DryWgt = Dry weight (grams)</p><p>Summary statistics for woody plant species of the Cerrado.</p