Shrimp are one of the fastest growing commodities in aquaculture and have a considerable land footprint. Here, we explored the impact of utilizing different production methods (extensive vs intensive) for expanding shrimp production on the cumulative land footprint of shrimp aquaculture. A meta-analytic approach was utilized to simultaneously estimate model coefficients to explore three relationships: production intensity and total land burden, production intensity and the proportion of land at the farm, and production intensity and the farmland burden. A literature review was conducted and a total of 7 datasets, 22 subsets, and 973 individual farms were included in this study. The global models were as follows: model 1 → ln (total land burden) = 0.1165–0.3863 * ln (production intensity), model 2 → proportion of direct (farm) land use:total land use = 0.7592–0.1737 * ln (production intensity), model 3 → ln (direct land use) = 0.1991–0.9674 * ln (production intensity). Production expansion was modeled under different scenarios. The most land intensive projections involved using only extensive systems to increase production when compared to a business-as-usual scenario. The least land intensive scenario involved utilizing intensive systems. A scenario where farmland was not expanded used 17% less land and 28% less land to produce 7.5 and 10 million tons of shrimp, respectively, when compared to business-as-usual scenarios. These estimates are limited by uncertainty in shrimp feed composition but demonstrate the effect of production intensity on the overall land footprint of shrimp production.

虾是水产养殖中增长最快的商品之一，并且具有相当大的土地足迹。在这里，我们探讨了利用不同的生产方法（粗放与集约）扩大对虾养殖对虾类水产养殖累积土地足迹的影响。采用元分析方法同时估计模型系数，探索生产强度与土地总负担、生产强度与农场土地比例、生产强度与耕地负担三个关系。进行了文献综述，本研究共包括 7 个数据集、22 个子集和 973 个个体农场。全球模型如下：模型 1 → ln（土地总负担）=  0.1165 – 0.38 63* ln（生产强度），模型2→直接（农场）土地利用比例：土地总利用=0.7592-0.1737*ln（生产强度），模型3→ln（直接土地利用）=0.1991-0.9674*ln（生产）强度）。生产扩张是在不同情景下建模的。与一切照旧的情景相比，土地最密集的预测涉及仅使用广泛的系统来增加产量。土地密集程度最低的方案涉及使用密集系统。与一切照旧的情景相比，未扩大农田的情景分别减少了 17% 的土地和 28% 的土地，用于生产 7.5 和 1000 万吨虾。这些估计受到虾饲料成分的不确定性的限制，但证明了生产强度对虾生产的总体土地足迹的影响。