1. Ye, X.; Zhang, S. A stabilizer free weak Galerkin finite element method on polytopal mesh: Part II. J. Comput. Appl. Math. 2021, 394, 113525. doi:10.1016/j.cam.2021.113525.
2. Guo, L.; Bi, C. Adaptive finite element method for nonmonotone quasi-linear elliptic problems. Comput. Math. with Appl. 2021, 93, 94–105. doi:10.1016/j.camwa.2021.03.034.
3. Courant, R. Variational methods for the solution of problems of equilibrium and vibrations. Lect. notes pure Appl. Math. 1994, 1.
4. Halpern, D.F.; Benbow, C.P.; Geary, D.C.; et al. The science of sex differences in science and mathematics. Psychol. Sci. public Interes. 2007, 8, 1–51.
5. Mihailović, D.T.; Balaž, I.; Kapor, D. Chapter 19 - Interrelations between mathematics and environmental sciences. In Time and Methods in Environmental Interfaces Modelling; Mihailović, D.T., Balaž, I., Kapor, D., Eds.; Elsevier, 2017; pp. 253–263.
6. Fischbein, H. Intuition in science and mathematics: An educational approach. Springer Science & Business Media, 1987.
7. Possingham, H.; Day, J.; Goldfinch, M.; Salzborn, F. The mathematics of designing a network of protected areas for conservation. In Decision Sciences: Tools for Today. Proceedings of 12th National ASOR Conference; 1993; pp. 536–545.
8. Sánchez Capa, M.; Mestanza-Ramón, C.; Sánchez Capa, I. Perspectiva de conservación del suelo en la Amazonía ecuatoriana. Green World J. 2020, 3, 009. Disponible en: https://www.greenworldjournal.com/doi-022-wgj-2020.
9. Schenke, K.; Lam, A.C.; Conley, A.M.; Karabenick, S.A. Adolescents' help seeking in mathematics classrooms: Relations between achievement and perceived classroom environmental influences over one school year. Contemp. Educ. Psychol. 2015, 41, 133–146. doi:10.1016/j.cedpsych.2015.01.003.
10. Wheatley, G.H. Constructivist perspectives on science and mathematics learning. Sci. Educ. 1991, 75, 9–21.
11. Hambrey, J. The 2030 Agenda and the sustainable development goals: the challenge for aquaculture development and management. FAO Fish. Aquac. Circ. 2017.
12. Lefèvre, C.; Rekik, F.; Alcantara, V.; Wiese, L. Soil organic carbon: the hidden potential. Food and Agriculture Organization of the United Nations (FAO), 2017.
13. Hrabalikova, M.; Finger, D.C.; Kobzova, D.; et al. The Challenge in Increasing Water and Soil Resources Resilience by Landscape Restoration: Examples from Southern Ethiopia and Iceland. Proceedings 2019, 30.
14. Patanita, M.; Campos, M.D.; Félix, M.D.; et al. Effect of Tillage System and Cover Crop on Maize Mycorrhization and Presence of Magnaporthiopsis maydis. Biology 2020, 9.
15. Branca, G.; Hissa, H.; Benez, M.C.; et al. Capturing synergies between rural development and agricultural mitigation in Brazil. Land use policy 2013, 30, 507–518. doi:10.1016/j.landusepol.2012.04.021.
16. Li, D. Mathematical and Computer Modeling in Agriculture. Math. Comput. Model. 2013, 58, 731–732. doi:10.1016/j.mcm.2013.06.002.
17. Li, D. Mathematical and computer modeling in agriculture. Math. Comput. Model. 2010, 51, 1285. doi:10.1016/j.mcm.2009.12.019.
18. Mestanza, C.; Saavedra, H.F.; Gaibor, I.D.; et al. Conflict and Impacts Generated by the Filming of Discovery Channel's Reality Series "Naked and Afraid" in the Amazon: A Special Case in the Cuyabeno Wildlife Reserve, Ecuador. Sustainability 2019, 11, 50.
19. Mestanza-Ramón, C.; Henkanaththegedara, S.M.; Vásconez Duchicela, P.; et al. In-Situ and Ex-Situ Biodiversity Conservation in Ecuador: A Review of Policies, Actions and Challenges. Diversity 2020, 12.
20. Bechar, A.; Vitner, G. A weight coefficient of variation based mathematical model to support the production of 'packages labelled by count' in agriculture. Biosyst. Eng. 2009, 104, 362–368. doi:10.1016/j.biosystemseng.2009.08.003.
21. Akbari, A.; Kouravand, S. Developing a temperature measuring system model for agriculture dryer with consideration of fringing field effect in mathematical modeling. Comput. Electron. Agric. 2018, 146, 59–65. doi:10.1016/j.compag.2018.01.025.
22. Ceglia, F.; Esposito, P.; Marrasso, E.; Sasso, M. From smart energy community to smart energy municipalities: Literature review, agendas and pathways. J. Clean. Prod. 2020, 254, 120118. doi:10.1016/j.jclepro.2020.120118.
23. Miller, A.J.; Novy, A.; Glover, J.; et al. Expanding the role of botanical gardens in the future of food. Nat. Plants 2015, 1, 15078. doi:10.1038/nplants.2015.78.
24. Carvalho, F.P. Mining industry and sustainable development: time for change. Food Energy Secur. 2017, 6, 61–77. doi:10.1002/fes3.109.
25. Carrero, R.; Navas, F.; Malvárez, G.; Cáceres, F. Participative Future Scenarios for Integrated Coastal Zone Management. J. Coast. Res. 2013, 898–903. doi:10.2112/SI65-152.1.
26. Ramón, C.M.; Villacís, M.A.T.; García, A.E.C. Tortugas Charapa: un aporte para el turismo comunitario y conservación de la biodiversidad. Explor. Digit. 2020, 4, 55–65.
27. Al-Kaisi, M.M.; Lal, R. Chapter 4 - Conservation Agriculture Systems to Mitigate Climate Variability Effects on Soil Health. In Soil Health and Intensification of Agroecosystems; Al-Kaisi, M.M., Lowery, B., Eds.; Academic Press, 2017; pp. 79–107.
28. Meng, T. Study on motivation mechanism and countermeasures of integration of agriculture and tourism industry based on value chain. Jiangsu Agric. Sci. 2019, 47, 320–324.
29. Hillel, D.; Rosenzweig, C. The Role of Biodiversity in Agronomy. Adv. Agron. 2005, 88, 1–34.