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| Source: | Find a Tender Service (FTS) |
| Buyer: | Forestry and Land Scotland |
| Main Category: | Services |
| Procurement Method: | Restricted procedure |
| Tender Status: | Active |
| Estimated Value (ex. VAT): | Not specified |
| Release Date: | 3 November 2025 |
| Application Deadline: |
| 11 October 2030 |
| Procurement ID (OCID): | ocds-h6vhtk-05d8b1 |
| Notice Reference: | 070352-2025 |
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Forestry and Land Scotland has established a Dynamic Purchasing System (DPS) for the provision of Planting Services across Scotland’s national forests and land, which commenced 13th October 2025. A Dynamic Purchasing System (DPS) is an electronic system established by a contracting authority to purchase commonly used goods, works or services in accordance with the Public Contracts (Scotland) Regulations 2015. Admittance to a DPS gives participants the opportunity to subsequently bid for relevant future opportunities which are procured through the DPS. The purpose of the DPS is to provide a compliant route to market for FLS to replace Planting Services and Maintenance contracts upon their expiration or termination. This is expected to consist of a range of long-term contracts for programmed requirements but will be used for short-term contracts when required. This DPS will not be used as a route to market for any other reason but may be used to procure innovative services related to the subject matter. The scope of the DPS is primarily for establishment operations including but not limited to: - Planting. - Beat up. - Weeding. - Top Up Spraying. - Herbicide application. - Fertilising. - Cleaning & Singling. - Respacing. - Brush cutter work. - Chainsaw work. - General Estate Labouring. Parties who request to be admitted to the DPS will have their submissions evaluated by FLS within 10 working days of submission (this deadline could be extended to a maximum of 15 working days in individual cases), and if successful, will be admitted to the DPS thereafter.
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Published contracts in the last 12 months
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Not addedContract imported automatically · AI writes the response
Application Deadline
11 October 2030
1639 days left
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