The increasing urbanization within cities correlates with the loss of green cover, affecting the distribution of bird species. Therefore, to foresee possible effects induced by green cover loss, it is essential to have spatial data of species occurrence. Remote sensors produce spatial data of green cover, such as the Normalized Difference Vegetation Index (NDVI), which can be used to model bird species occurrence within and between cities. The objectives of this study were: 1) to construct and evaluate predictive models between NDVI and bird species distribution in Mar del Plata city, Argentina; and 2) to extrapolate these models to two other cities of the region, Balcarce and Miramar. Most of the 21 species analyzed showed positive associations with NDVI. However, the minimum NDVI values at which species started to be present were dissimilar, showing different habitat requirements. The models of nine species had r-squared values ≥ 0.40, and eight of these species showed an adequate prediction of occurrence in additional areas of Mar del Plata. However, only the occurrence of the Tropical Kingbird (Tyrannus melancholicus) was adequately extrapolated to Miramar and Balcarce. Results showed that NDVI is successful to predict bird species occurrence within a city, but the extrapolation to other cities is not totally adequate. Thus, bird-habitat suitabilities for urban species are considered to be specific for each city.

城市内不断增加的城市化与绿色覆盖的丧失相关，影响了鸟类的分布。因此，为了预见绿化覆盖损失可能引起的影响，拥有物种发生的空间数据是必不可少的。遥感器产生绿化覆盖的空间数据，例如归一化差异植被指数 (NDVI)，可用于模拟城市内部和城市之间的鸟类物种发生情况。本研究的目的是：1）构建和评估阿根廷马德普拉塔市 NDVI 与鸟类物种分布之间的预测模型；2) 将这些模型外推到该地区的另外两个城市巴尔卡塞和米拉马尔。分析的 21 个物种中的大多数与 NDVI 呈正相关。然而，物种开始出现时的最低 NDVI 值不同，表现出不同的栖息地要求。九个物种的模型的 r 平方值 ≥ 0.40，其中八个物种显示出对马德普拉塔其他地区发生的充分预测。然而，只有热带金鸟（Tyrannus melancholicus ) 被充分外推到 Miramar 和 Balcarce。结果表明，NDVI 成功地预测了城市内鸟类的发生情况，但对其他城市的外推并不完全足够。因此，城市物种的鸟类栖息地适宜性被认为是特定于每个城市的。