دورية أكاديمية
أعرض في EDS

Heuristics for the sustainable harvest of wildlife in stochastic social-ecological systems.

التفاصيل البيبلوغرافية
العنوان: Heuristics for the sustainable harvest of wildlife in stochastic social-ecological systems.
المؤلفون: Law EA; Norwegian Institute of Nature Research (NINA), Trondheim, Norway., Linnell JDC; Norwegian Institute of Nature Research (NINA), Trondheim, Norway.; Department of Forestry and Wildlife Management, Inland Norway University of Applied Sciences, Evenstad, Norway., van Moorter B; Norwegian Institute of Nature Research (NINA), Trondheim, Norway., Nilsen EB; Norwegian Institute of Nature Research (NINA), Trondheim, Norway.; Faculty of Biosciences and Aquaculture, Nord University, Steinkjer, Norway.
المصدر: PloS one [PLoS One] 2021 Nov 19; Vol. 16 (11), pp. e0260159. Date of Electronic Publication: 2021 Nov 19 (Print Publication: 2021).
نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
أسماء مطبوعة: Original Publication: San Francisco, CA : Public Library of Science
مواضيع طبية MeSH: Animals, Wild/*growth & development , Heuristics/*physiology, Animals ; Animals, Wild/physiology ; Benchmarking/methods ; Computer Simulation ; Ecosystem ; Models, Biological ; Population Dynamics ; Uncertainty
مستخلص: Sustainable wildlife harvest is challenging due to the complexity of uncertain social-ecological systems, and diverse stakeholder perspectives of sustainability. In these systems, semi-complex stochastic simulation models can provide heuristics that bridge the gap between highly simplified theoretical models and highly context-specific case-studies. Such heuristics allow for more nuanced recommendations in low-knowledge contexts, and an improved understanding of model sensitivity and transferability to novel contexts. We develop semi-complex Management Strategy Evaluation (MSE) models capturing dynamics and variability in ecological processes, monitoring, decision-making, and harvest implementation, under a diverse range of contexts. Results reveal the fundamental challenges of achieving sustainability in wildlife harvest. Environmental contexts were important in determining optimal harvest parameters, but overall, evaluation contexts more strongly influenced perceived outcomes, optimal harvest parameters and optimal harvest strategies. Importantly, simple composite metrics popular in the theoretical literature (e.g. focusing on maximizing yield and population persistence only) often diverged from more holistic composite metrics that include a wider range of population and harvest objectives, and better reflect the trade-offs in real world applied contexts. While adaptive harvest strategies were most frequently preferred, particularly for more complex environmental contexts (e.g. high uncertainty or variability), our simulations map out cases where these heuristics may not hold. Despite not always being the optimal solution, overall adaptive harvest strategies resulted in the least value forgone, and are likely to give the best outcomes under future climatic variability and uncertainty. This demonstrates the potential value of heuristics for guiding applied management.
Competing Interests: The authors have declared that no competing interests exist.
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تواريخ الأحداث: Date Created: 20211119 Date Completed: 20220104 Latest Revision: 20220104
رمز التحديث: 20221213
مُعرف محوري في PubMed: PMC8604319
DOI: 10.1371/journal.pone.0260159
PMID: 34797852
قاعدة البيانات: MEDLINE
الوصف
تدمد:1932-6203
DOI:10.1371/journal.pone.0260159