Ash v. State
Ash v. State
Opinion of the Court
Ash appeals from his sentences imposed for theft of a truck
Florida Rule of Criminal Procedure 3.701 d.10. provides that' if the recommended guidelines sentence exceeds the statutory maximum “the statutory maximum should be imposed.” See State v. Thomas, 528 So.2d 1274 (Fla. 3d DCA 1988); State v. Martin, 502 So.2d 1371 (Fla. 2d DCA 1987). Thus, the court must impose 5 year sentences for the two crimes for which Ash was convicted. But, in its discretion, it may choose to have them run consecutively.
We reject Ash’s additional argument that he should have been sentenced for these two crimes simultaneously with, and on the basis of, the same scoresheet as two unrelated crimes committed in Marion County. The instant crimes were committed in Citrus County, within the same circuit as Marion County. We have not required simultaneous sentencing for all offenses pending before the same circuit. Rather, we restrict the application of Florida Rule of Criminal Procedure 3.701 d.l.
Accordingly we quash the sentence imposed and remand for resentencing. Also, we reverse the imposition of costs because they were improperly assessed without notice and hearing. See Mays v. State, 519 So.2d 618 (Fla. 1988).
. § 812.014(2)(c)4., Fla.Stat. (1987).
. § 810.02, Fla.Stat. (1987).
.On remand, this judgment should be corrected to show reference to the proper criminal statute, i.e., section 812.012(2)(c)4., rather than section 812.014(2)(b), Florida Statutes (1987).
. § 775.082(3)(d), Fla.Stat. (1987).
. § 921.16, Fla.Stat.1987.
. Florida Rule of Criminal Procedure 3.701 d.l. provides:
One guideline scoresheet shall be utilized for each defendant covering all offenses pending before the court for sentencing. The state attorney’s office will prepare the scoresheets and present them to defense counsel for review as to accuracy in all cases unless the judge directs otherwise. The sentencing judge shall approve all scoresheets.
Case-law data current through December 31, 2025. Source: CourtListener bulk data.