Since the reform and opening up, China's economy has developed at a rapid pace, and the impact of industrial development and social change on the natural environment has become more diverse and profound. In evaluating the economic value of nature reserves, we often have to consider their current economic value, and past values appear to be meaningless, which makes it necessary to ensure both a reliable basis for the calculation criteria when calculating the value of reserves, and the use of time-recent This makes it necessary to ensure that the criteria for calculating the value of protected areas are reliable and that the most recent data are used. Therefore, this paper uses Nature Reserve C as an example to construct an assessment system for natural environment protection based on energy efficiency. The paper begins with a brief introduction of the evaluation principles and the carbon balance evaluation model, followed by the design of the nature reserve evaluation system and the general architecture of the system, and finally the analysis of the natural resource value and the economic value of the nature reserve.

Karmah Salman. Assessment System of Natural Environment Protection Based on Energy Efficiency. Nature Environmental Protection (2023), Vol. 4, Issue 1: 12-19. https://doi.org/10.38007/NEP.2023.040102.

[1] Joni S, Soon G J, Ahmed M S K, Joao M. S, Bernard J. Using Artificially Generated Pictures in Customer-Facing Systems: an Evaluation Study with Data-Driven Personas. Behav. Inf. Technol. (2022) 41(5): 905-921. https://doi.org/10.1080/0144929X.2020.1838610

[2] Laura S, David S, Olga V, Cody D, Michelle A. B. Effective Use of Likert Scales in Visualization Evaluations: A Systematic Review. Comput. Graph. Forum (2022) 41(3): 43-55. https://doi.org/10.1111/cgf.14521

[3] Asha S, Vinod P. Evaluation of Adversarial Machine Learning Tools for Securing AI Systems. Clust. Comput. (2022) 25(1): 503-522. https://doi.org/10.1007/s10586-021-03421-1

[4] Khalid A H A, Mrim A. Evaluation of NFC-Guidable System to Manage Polypharmacy in Elderly Patients. Comput. Syst. Sci. Eng. (2022) 41(2): 445-460. https://doi.org/10.32604/csse.2022.020620

[5] Marie P P L, Quentin B, Clement G, Philippe R, Christine C, Damien T. Designing Human-System Cooperation in Industry 4.0 with Cognitive Work Analysis: A First Evaluation. Cogn. Technol. Work. (2022) 24(1): 93-111. https://doi.org/10.1007/s10111-021-00667-y

[6] Kubra K O, Zeki Y. Design and Evaluation of an Electronic Performance Support System for Quantitative Data Analysis. Educ. Inf. Technol. (2022) 27(2): 2407-2434. https://doi.org/10.1007/s10639-021-10712-y

[7] Rui L, Martin M, Sarah T, Laura G. A Systematic Evaluation of Game Elements effects on Students' Motivation. Educ. Inf. Technol. (2022) 27(1): 1081-1103. https://doi.org/10.1007/s10639-021-10651-8

[8] Abdolreza A, Mohammad R M. Sustainable Performance Evaluation: A Practical Approach Based On Fuzzy Best-Worst Method and Fuzzy Inference System. Int. J. Appl. Decis. Sci. (2022) 15(2): 201-220. https://doi.org/10.1504/IJADS.2022.121553

[9] Abdulrahman K. towards an Enhanced User Experience with Critical System Interfaces in Middle-Eastern Countries: A Case Study of Usability Evaluation of Saudi Arabia's Weather Interface System (Arsad). Int. J. Comput. Appl. Technol. (2022) 68(3): 235-241. https://doi.org/10.1504/IJCAT.2022.10049747

[10] Jalal J P, Anne Z A, Bruno V, Gregory Z. Lean Techniques Impact Evaluation Methodology Based on a Co-Simulation Framework for Manufacturing Systems. Int. J. Comput. Integr. Manuf. (2022)35 (1): 91-111. https://doi.org/10.1080/0951192X.2021.1972468

[11] Ouail H, Alain O, Said A. Response Time Evaluation of Industrial-Scale Distributed Control Systems by Discrete Event Systems Formalisms. Int. J. Control (2022) 95(2): 419-431. https://doi.org/10.1080/00207179.2020.1798021

[12] Phudit A, Ermioni Q, Kevin B, Makoto l, Keita M, Leonard B. International Journal of Distributed Systems and Technologies (UJDST): IFACS-Q3S- A New Admission Control System for 5G Wireless Networks Based on Fuzzy Logic and Its Performance Evaluation. Int. J. Distributed Syst. Technol. (2022) 13(1): 1-25. https://doi.org/10.4018/ijdst.300339

[13] Ermioni Q, Kevin B, Phudit A, Makoto l, Keita M, Leonard B. FSAQoS: A Fuzzy-Based System for Assessment of QoS of V2V Communication Links in SDN-VANETs and Its Performance Evaluation. Int. J. Distributed Syst. Technol. (2022) 13(1): 1-13. https://doi.org/10.4018/IJDST.300338

[14] Sarandis M, Vassilis T, Christos D. A Prototype Network Monitoring Information System: Modelling, Design, Implementation and Evaluation. Int. J. Inf. Commun. Technol. (2022) 21(2): 111-136. https://doi.org/10.1504/IJICT.2022.124807

[15] Tahir A, Umberto M, Silvio R, Nicola Z. Extending Access Control in AWS Lot through Event-Driven Functions: an Experimental Evaluation Using A Smart Lock System. Int. J. Inf. Sec. (2022) 21 (2): 379-408. https://doi.org/10.1007/s10207-021-00558-3

[16] Silvan H, Viktor G, Werner B, Cathal G, Bjorn P J, Jakub L, Andreas L, Frantisek M, Ladislav P, Luca R D, Konstantin S, Klaus S, Heiko S, Florian S, Ly D T, Lucia V, Patrik V, Stefanos V, Jiaxin W. Interactive Video Retrieval Evaluation At A Distance: Comparing Sixteen Interactive Video Search Systems In A Remote Setting At The 10th Video Browser Showdown. Int. J. Multim. Inf. Retr. (2022) 11(1): 1-18. https://doi.org/10.1007/s13735-021-00225-2

[17] Maryam B, Annalina C, Rob B. AccTEF: A Transparency and Accountability Evaluation Framework for Ontology-Based Systems. Int. J. Semantic Comput. (2022) 16 (1): 5-27. https://doi.org/10.1142/S1793351X22400013

[18] Muhammad Z, Hafiza N I, Ali R, Hafiz F M, Saqib Z. Development and Evaluation of a Low-Cost Data Acquisition System Using Heterogeneous Sensors. Int. J. Sens. Networks (2022) 40(1): 45-56. https://doi.org/10.1504/IJSNET.2022.125274