期刊名称：Proceedings of the National Academy of Sciences
印刷版ISSN：0027-8424
电子版ISSN：1091-6490
出版年度：2015
卷号：112
期号：24
页码：7402-7407
DOI：10.1073/pnas.1406485112
语种：English
出版社：The National Academy of Sciences of the United States of America
摘要：SignificanceDeforestation is a major threat to biodiversity and many ecosystem services and is closely linked to agricultural expansion. Sustainability assessment of different agricultural products and policies requires an understanding of the impacts of land conversion resulting from shifts in demand or incentives for production. The prevailing approaches to estimating such impacts do not account for the spatial context of the transformation. This study shows how different patterns of agricultural expansion into forested landscapes can vastly reduce or exacerbate the total impact, suggesting that methods to measure sustainability should consider not only the total area but also where and how the landscape is converted. The agricultural expansion and intensification required to meet growing food and agri-based product demand present important challenges to future levels and management of biodiversity and ecosystem services. Influential actors such as corporations, governments, and multilateral organizations have made commitments to meeting future agricultural demand sustainably and preserving critical ecosystems. Current approaches to predicting the impacts of agricultural expansion involve calculation of total land conversion and assessment of the impacts on biodiversity or ecosystem services on a per-area basis, generally assuming a linear relationship between impact and land area. However, the impacts of continuing land development are often not linear and can vary considerably with spatial configuration. We demonstrate what could be gained by spatially explicit analysis of agricultural expansion at a large scale compared with the simple measure of total area converted, with a focus on the impacts on biodiversity and carbon storage. Using simple modeling approaches for two regions of Brazil, we find that for the same amount of land conversion, the declines in biodiversity and carbon storage can vary two- to fourfold depending on the spatial pattern of conversion. Impacts increase most rapidly in the earliest stages of agricultural expansion and are more pronounced in scenarios where conversion occurs in forest interiors compared with expansion into forests from their edges. This study reveals the importance of spatially explicit information in the assessment of land-use change impacts and for future land management and conservation.
