Abstract

Environmental scientists are prolific data generators. Rates of data capture and reporting are increasing almost exponentially. The publication of primary research papers in environmental journals rises every year at a rate that challenges even the most avid reader. And yes, of course, the number of journals is increasing. The accumulation of environmental data represents the output of considerable investment by many scientists, funders and stakeholders, including taxpayers. Much of this investment seeks to address the rising tide of environmental problems the human race itself has caused. Increasing political concern over the state of the environment is evident from a number of national and global initiatives to assess, predict and mitigate the effects of environmental change. Globally, the Intergovernmental Panel on Climate Change and the Convention on Biological Diversity are likely to be followed by the Intergovernmental Platform on Biodiversity and Ecosystem Services. All have a remit to assess environmental change and predict future trends. The Millennium Ecosystem Assessment has already catalysed a cycle of follow-up national and regional assessments. These bodies are (or will be in the future) urging action to reduce the impact of human activities on our environment and maintain the ability of ecosystems to provide the goods and services on which we depend. To achieve effective action requires the use of the data we have generated in a framework that informs decision making in policy and practice. The close linkages between human wellbeing and environmental quality are increasingly evident in the literature and are now clearly embedded in the policies of institutions concerned with international development and poverty alleviation. If our planet is to remain suitable for civilised human habitation, even when there are 10 billion of us, then we need to manage its health. At a range of scales, environmental management interventions are required to maintain ecosystem function whilst providing sufficient food, water, fuel, raw material and meeting our needs for clean air, green space and wild nature. Both the necessity and the challenge of achieving effective environmental management are very clear. But how well organised are we to succeed in this task? We certainly need more data to address a multitude of questions concerning the nature of environmental problems and the effectiveness of potential solutions. But we need to do more than just accumulate data, fragment it among a multitude of publications with varied levels of access, and frankly, let much of it disappear into obscurity. It is the purpose of science to push the boundaries of knowledge and challenge accepted wisdom but if science is also to inform decisions that wider society takes then we need synthesis; a kind of stocktaking of data that establishes the current evidence base with a view to predicting outcomes of alternative actions.

Highlights

  • How well organised are we to succeed in this task? We certainly need more data to address a multitude of questions concerning the nature of environmental problems and the effectiveness of potential solutions

  • Of all the interventions that are employed, which ones work? Which ones are worth the money spent on them? Which ones do more harm than good and should cease? At present there is very little synthesis of information to help us with these vital questions

  • If we think of the purpose of applied science as being the construction of an evidence base to inform decisions we are currently manufacturing millions of bricks [2], but they just form an untidy pile unless there is a plan for using the bricks to construct an evidence base

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Summary

Introduction

It is the purpose of science to push the boundaries of knowledge and challenge accepted wisdom but if science is to inform decisions that wider society takes we need synthesis; a kind of stocktaking of data that establishes the current evidence base with a view to predicting outcomes of alternative actions. The health sector has been using the more rigorous methodology of systematic review (SR) to inform decision making on interventions for more than 20 years and has a well established global community conducting secondary, synthetic research.

Results
Conclusion

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