Spatial analysis Sample Clauses

Spatial analysis. Knowing that the biomass valued on the assessment is from semi-natural grasslands of Matsalu National Park (floodplain xxxxxxx) we attributed the value to the ecosystem type class Northern Boreal alluvial xxxxxxx (Natura 2000 habitat code: 6450) in the region with an area of 5162.93 ha. It gave us the value 9.83 €/ha for the service provisioning area. According to GVA method the contribution of the ecosystem per hectare in the service provisioning area was estimated as 8.93 €/ha. Visualization of the service provisioning areas and value of bioenergy ecosystem service of Estonian grasslands can be seen in Figure 4.
AutoNDA by SimpleDocs
Spatial analysis. It is problematic to distinguish which ecosystem type provides the service as different game species roam in a wide area and often prefer mosaic landscape where different ecosystem types are present. Therefore, in the current assessment the service value for different ecosystem types was calculated using top-down approach. First we calculated the value for the whole country by hunting districts. Then by merging the ecosystem unit map and hunting district map, we obtained the share (in area units) of each ecosystem type in the hunting district. Including all natural and vegetated ecosystems (excluding waterbodies, rocky slopes and artificial landscapes), we divided the service value per hunting district between ecosystem types according to the area of ecosystem type (service value per hunting district*area of the ecosystem type/area of all ecosystem types present in the hunting district). From the obtained dataset of ecosystem service values for ecosystem types it was possible to derive the values of the ecosystem service of providing game for grasslands which are shown in Table 19. The contribution of the grassland ecosystems to the ecosystem service is 1.2 million €/year of which 557 thousand €/year is provided by semi-natural grasslands.
Spatial analysis. The calculated monetary value of the ecosystem service of providing medicinal herbs was distributed among grassland types depending on the habitat requirements of the plant species. If several grassland types were suitable habitat for the species then the contribution of the ecosystem type was calculated by weighting the area of the grassland type to all contributing grasslands. The average unit value of providing medicinal herbs for grasslands was calculated to be 0.08 €/ha. The values of the ecosystem service of providing medicinal herbs by grassland ecosystem types is shown in Table 21. Table 21. The value of ecosystem service of providing medicinal herbs by grassland types, 2018, € Grassland type Average value (€/ha) Total value (€) Boreal baltic coastal xxxxxxx 0.140 16716 Fixed coastal dunes with herbaceous vegetation (“grey dunes”) 0.110 87 Inland dunes with open Corynephorus and Agrostis 0.167 18 Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco-Brometalia) (* important orchid sites) 0.099 9010 Fennoscandian lowland species-rich dry to mesic grasslands 0.056 3085 Nordic alvar and precambrian calcareous flatrocks 0.085 11117 Molinia xxxxxxx on calcareous, peaty or clayey-silt-laden soils (Molinion caeruleae) 0.035 392 Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels 0.035 386 Northern boreal alluvial xxxxxxx 0.035 2737 Lowland hay xxxxxxx (Alopecurus pratensis, Sanguisorba officinalis) 0.198 3169 Fennoscandian wooded xxxxxxx 0.099 6002 Fennoscandian wooded pastures 0.138 2053 Environmental sensitive permanent grassland 0.029 144 Environmental non-sensitive permanent grassland 0.029 66348 Other natural grassland 0.040 69769 Grand Total 0.080 191034 Visualization of the service provisioning areas and values of provisioning medicinal herbs as ecosystem service of Estonian grasslands can be seen in Figure 6.
Spatial analysis. The monetary values of grassland carbon storage by different type of grasslands are given in Table 23. These values were obtained by first overlaying the map of grassland types with the map layer of soil types in Estonia. The carbon storage value of grassland type depends on whether it is on organic or mineral soil. The greatest value of carbon storage, over € 17 million, was found in cultivated grasslands which are on organic soils. For semi-natural grasslands, the most valuable is unclassified “grassland” class on organic soils (6 million €). For the semi-natural grasslands which are situated on Natura sites, the highest carbon storage value,
Spatial analysis. The distribution of the ecosystem service value of recreational hunting was approached similarly to the provisioning of game/hunting. We used top-down approach for calculating the ecosystem service value for different ecosystem types as it was difficult to distinguish which ecosystem type provides the service as different game species roam in a wide area and often prefer mosaic landscape where different ecosystem types are present as a habitat. First we calculated the value of the hunting service for the whole country by hunting districts. Then by overlaying the ecosystem unit map and hunting district map (does not cover 100% of the area of Estonia, excluding settlements for example) we obtained the share (in area units) of each ecosystem type in the hunting district. Including all natural and vegetated ecosystems (excluding waterbodies, rocky slopes and artificial landscapes), we divided the service value per hunting district between ecosystem types according to the area of ecosystem type (service value per hunting district*area of the ecosystem type/area of all ecosystem types present in the hunting district). From the spatial analyses (overlaying) obtained dataset of ecosystem service values for ecosystem types it was possible to derive the values of the ecosystem service of recreational hunting for different grassland types which are shown in Table 35. The contribution of the grassland ecosystems to the hunting ecosystem service is 2.2 million €/year of which 1.1 million €/year is provided by semi-natural grasslands. Visualization of the service provisioning areas and values of hunting ecosystem service of Estonian grasslands can be seen in Figure 10. Table 35. Values of the ecosystem service of recreational hunting by grassland types, 2018, € Grassland type Value (€/year) Boreal baltic coastal xxxxxxx 110 982 Fixed coastal dunes with herbaceous vegetation (“grey dunes”) 1 460 Dry sand heaths with Calluna and Empetrum nigrum 220 Inland dunes with open Corynephorus and Agrostis 122 European dry heaths 2 095 Juniperus communis formations on heaths or calcareous grasslands 24 256 Xeric sand calcareous grasslands 166 Calaminarian grasslands of the Violetaliacalaminariae 2 Semi-natural dry grasslands and scrubland facies on calcareous substrates (Festuco-Brometalia) (* important orchid sites) 28 434 Fennoscandian lowland species-rich dry to mesic grasslands 24 326 Nordic alvar and precambrian calcareous flatrocks 97 956 Molinia xxxxxxx on calcareous, peaty ...

Related to Spatial analysis

  • Data Analysis In the meeting, the analysis that has led the College President to conclude that a reduction- in-force in the FSA at that College may be necessary will be shared. The analysis will include but is not limited to the following: ● Relationship of the FSA to the mission, vision, values, and strategic plan of the College and district ● External requirement for the services provided by the FSA such as accreditation or intergovernmental agreements ● Annual instructional load (as applicable) ● Percentage of annual instructional load taught by Residential Faculty (as applicable) ● Fall Full-Time Student Equivalent (FFTE) inclusive of dual enrollment ● Number of Residential Faculty teaching/working in the FSA ● Number of Residential Faculty whose primary FSA is the FSA being analyzed ● Revenue trends over five years for the FSA including but not limited to tuition and fees ● Expenditure trends over five years for the FSA including but not limited to personnel and capital ● Account balances for any fees accounts within the FSA ● Cost/benefit analysis of reducing all non-Residential Faculty plus one Residential Faculty within the FSA ● An explanation of the problem that reducing the number of faculty in the FSA would solve ● The list of potential Residential Faculty that are at risk of layoff as determined by the Vice Chancellor of Human Resources ● Other relevant information, as requested

  • Statistical Analysis 31 F-tests and t-tests will be used to analyze OV and Quality Acceptance data. The F-test is a 32 comparison of variances to determine if the OV and Quality Acceptance population variances 33 are equal. The t-test is a comparison of means to determine if the OV and Quality Acceptance 34 population means are equal. In addition to these two types of analyses, independent verification 35 and observation verification will also be used to validate the Quality Acceptance test results.

  • Technology Research Analyst Job# 1810 General Characteristics Maintains a strong understanding of the enterprise’s IT systems and architectures. Assists in the analysis of the requirements for the enterprise and applying emerging technologies to support long-term business objectives. Responsible for researching, collecting, and disseminating information on emerging technologies and key learnings throughout the enterprise. Researches and recommends changes to foundation architecture. Supports research projects to identify and evaluate emerging technologies. Interfaces with users and staff to evaluate possible implementation of the new technology in the enterprise, consistent with the goal of improving existing systems and technologies and in meeting the needs of the business. Analyzes and researches process of deployment and assists in this process.

  • Industrial Operations Analyst (IOA ‌ The IOA is a GSA Government official who audits Contractor records and conducts Contractor Assistance Visits (CAVs) to the Contractor’s place of business to assist the Contractor with task order reporting, Contract Access Fee (CAF) management, and other general contract administration functions deemed necessary by the Government.

  • SAMPLE (i) Unless agreed otherwise, wheeled or track lay- ing equipment shall not be operated in areas identified as needing special measures except on roads, landings, tractor roads, or skid trails approved under B5.1 or B6.422. Purchaser may be required to backblade skid trails and other ground disturbed by Purchaser’s Opera- tions within such areas in lieu of cross ditching required under B6.6. Additional special protection measures needed to protect such known areas are identified in C6.24.

  • COMPENSATION ANALYSIS After the expiration of the second (2nd) Renewal Term of this Agreement, if any, a Compensation Analysis may be performed. At such time, based on the reported Total Gross Revenue, performance of the Concession, and/or Department’s existing rates for similarly- performing operations, Department may choose to increase the Concession Payment for the following Renewal Term(s), if any.

  • Geological and Archeological Specimens If, during the execution of the Work, the Contractor, any Subcontractor, or any servant, employee, or agent of either should uncover any valuable material or materials, such as, but not limited to, treasure trove, geological specimens, archival material, archeological specimens, or ore, the Contractor acknowledges that title to the foregoing is vested in the Owner. The Contractor shall notify the Owner upon the discovery of any of the foregoing, shall take reasonable steps to safeguard it, and seek further instruction from the Design Professional. Any additional cost incurred by the Contractor shall be addressed under the provision for changed conditions. The Contractor agrees that the Geological and Water Resources Division and the Historic Preservation Division of the Georgia Department of Natural Resources may inspect the Work at reasonable times.

  • Reverse Engineering The Customer must not reverse assemble or reverse compile or directly or indirectly allow or cause a third party to reverse assemble or reverse compile the whole or any part of the software or any products supplied as a part of the Licensed System.

  • Laboratory Testing All laboratories selected by UPS Freight for analyzing Controlled Substances Testing will be HHS certified.

  • SERVICE MONITORING, ANALYSES AND ORACLE SOFTWARE 11.1 We continuously monitor the Services to facilitate Oracle’s operation of the Services; to help resolve Your service requests; to detect and address threats to the functionality, security, integrity, and availability of the Services as well as any content, data, or applications in the Services; and to detect and address illegal acts or violations of the Acceptable Use Policy. Oracle monitoring tools do not collect or store any of Your Content residing in the Services, except as needed for such purposes. Oracle does not monitor, and does not address issues with, non-Oracle software provided by You or any of Your Users that is stored in, or run on or through, the Services. Information collected by Oracle monitoring tools (excluding Your Content) may also be used to assist in managing Oracle’s product and service portfolio, to help Oracle address deficiencies in its product and service offerings, and for license management purposes.

Time is Money Join Law Insider Premium to draft better contracts faster.