U.S. Geological Survey, Fort Lauderdale, FL, 33315, USA.
Department of Biology, University of Miami, Coral Gables, FL, 33124, USA.
Bull Math Biol. 2021 Sep 4;83(10):107. doi: 10.1007/s11538-021-00927-y.
As many ecosystems worldwide are in peril, efforts to manage them sustainably require scientific advice. While numerous researchers around the world use a great variety of models to understand ecological dynamics and their responses to disturbances, only a small fraction of these models are ever used to inform ecosystem management. There seems to be a perception that ecological models are not useful for management, even though mathematical models are indispensable in many other fields. We were curious about this mismatch, its roots, and potential ways to overcome it. We searched the literature on recommendations and best practices for how to make ecological models useful to the management of ecosystems and we searched for 'success stories' from the past. We selected and examined several cases where models were instrumental in ecosystem management. We documented their success and asked whether and to what extent they followed recommended best practices. We found that there is not a unique way to conduct a research project that is useful in management decisions. While research is more likely to have impact when conducted with many stakeholders involved and specific to a situation for which data are available, there are great examples of small groups or individuals conducting highly influential research even in the absence of detailed data. We put the question of modelling for ecosystem management into a socio-economic and national context and give our perspectives on how the discipline could move forward.
由于全球许多生态系统都面临危险,因此需要科学建议来可持续地管理它们。虽然世界各地的许多研究人员使用各种模型来了解生态动力学及其对干扰的反应,但只有一小部分模型用于为生态系统管理提供信息。似乎有一种看法认为生态模型对管理没有用处,尽管在许多其他领域,数学模型是不可或缺的。我们对这种不匹配及其根源以及潜在的克服方法感到好奇。我们搜索了有关如何使生态模型对生态系统管理有用的建议和最佳实践的文献,并搜索了过去的“成功案例”。我们选择并研究了几个模型在生态系统管理中发挥作用的案例。我们记录了它们的成功,并询问它们是否以及在何种程度上遵循了推荐的最佳实践。我们发现,没有一种独特的方法可以进行对管理决策有用的研究项目。虽然当研究涉及到许多利益相关者并针对有数据可用的情况进行时,更有可能产生影响,但也有很多小团体或个人在没有详细数据的情况下进行高度有影响力的研究的例子。我们将生态系统管理的建模问题置于社会经济和国家背景下,并就该学科如何向前发展提出了我们的看法。