Education, Science, Technology, Innovation and Life
Open Access
Sign In

A multi-objective programming model for wildlife and human rights based on ridge regression

Download as PDF

DOI: 10.23977/erej.2023.070307 | Downloads: 5 | Views: 165


Erwen Xu 1, Xuejing Zhang 2, Yu Xia 1


1 School of Mathematics, Hangzhou Normal University, Hangzhou, 311121, China
2 School of Physics, Hangzhou Normal University, Hangzhou, 311121, China

Corresponding Author

Yu Xia


Wildlife sanctuaries have been established all over the world to protect wild animals and other natural resources, but there have been serious conflicts between people and wildlife in Africa near sanctuaries. We chose Kenya's wildlife reserves as our research object, created the indicator framework needed for wildlife and natural resource protection research, and quantified the relationship between indicators using fitting methods like ridge regression. We built a multi-objective planning model on this foundation, used a grid method for regional planning, and developed an improved policy plan. The findings show that residents of wildlife reserves can be most effectively compensated for the loss of development interests by the government's reasonable social welfare security system. Furthermore, the local area should return farmland to forests, strictly prohibit smuggling, and encourage the development of distinctive low-carbon industries to achieve both ecological and economic benefits.


Multi-objective programming, Ridge regression, Regional rasterization, Polynomial fitting


Erwen Xu, Xuejing Zhang, Yu Xia, A multi-objective programming model for wildlife and human rights based on ridge regression. Environment, Resource and Ecology Journal (2023) Vol. 7: 55-64. DOI:


[1] KWS, (2014) Protected areas and status of wildlife. Unpublished.
[2] Srivathsa A, Vasudev D, Nair T, et al. Prioritizing India’s landscapes for biodiversity, ecosystem services and human well-being [J]. Nature Sustainability, 2023: 1-10.
[3] Okech R N. Wildlife-community conflicts in conservation areas in Kenya [J]. African Journal on conflict resolution, 2010, 10(2).
[4] Snider, Ryan Austin. (2012). “Land Tenure, Ecotourism, and Sustainable Livelihoods: 'Living on the Edge' of the Greater Maasai Mara, Kenya.”
[5] Van der Vaart E, Beaumont M A, Johnston A S A, et al. Calibration and evaluation of individual-based models using Approximate Bayesian Computation [J]. Ecological Modelling, 2015, 312: 182-190.
[6] Shah P, Mukhovi S M. Benefits of Protected Areas to Adjacent Communities: The Case of Maasai Mara National Reserve in Kenya [J]. Africa Journal of Physical Sciences ISSN: 2313-3317, 2019, 3.
[7] Kunegel-Lion M, Neilson E W, Mansuy N, et al. Habitat quality does not predict animal population abundance on frequently disturbed landscapes [J]. Ecological Modelling, 2022, 469: 109943.
[8] Reid R S, Nkedianye D, Said M Y, et al. Evolution of models to support community and policy action with science: Balancing pastoral livelihoods and wildlife conservation in savannas of East Africa [J]. Proceedings of the National Academy of Sciences, 2016, 113(17): 4579-4584.
[9] Newbold T, Hudson L N, Hill S L L, et al. Global effects of land use on local terrestrial biodiversity [J]. Nature, 2015, 520(7545): 45-50.
[10] Dickman A J. Complexities of conflict: the importance of considering social factors for effectively resolving human–wildlife conflict [J]. Animal Conservation, 2010, 13(5): 458-466.
[11] Broekhuis F, Cushman S A, Elliot N B. Identification of human–carnivore conflict hotspots to prioritize mitigation efforts [J]. Ecology and evolution, 2017, 7(24): 10630-10639.
[12] Venter O, Magrach A, Outram N, et al. Bias in protected‐area location and its effects on long‐term aspirations of biodiversity conventions [J]. Conservation Biology, 2018, 32(1): 127-134.
[13] Copeland C, MacKerron G, Foxon T J. Futures for Findhorn: Exploring challenges for achieving net zero in an ecological intentional community [J]. Futures, 2023: 103155.
[14] Mubarok Z. Illegal, unreported and unregulated fishing and transnational organized fisheries crimes: Perspectives of legal and policy measures of Indonesia [J]. 2019. 

Downloads: 2126
Visits: 120835

Sponsors, Associates, and Links

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.