Hurlbert Allen H, Haskell John P
Department of Biology, University of New Mexico, Albuquerque, New Mexico 87131, USA.
Am Nat. 2003 Jan;161(1):83-97. doi: 10.1086/345459. Epub 2002 Dec 30.
We analyzed geographic patterns of richness in both the breeding and winter season in relation to a remotely sensed index of seasonal production (normalized difference vegetation index [NDVI]) and to measures of habitat heterogeneity at four different spatial resolutions. The relationship between avian richness and NDVI was consistent between seasons, suggesting that the way in which available energy is converted to bird species is similar at these ecologically distinct times of year. The number and proportion of migrant species in breeding communities also increased predictably with the degree of seasonality. The NDVI was a much better predictor of seasonal richness at finer spatial scales, whereas habitat heterogeneity best predicted richness at coarser spatial resolutions. While we find strong support for a positive relationship between available energy and species richness, seasonal NDVI explained at most 61% of the variation in richness. Seasonal NDVI and habitat heterogeneity together explain up to 69% of the variation in richness.
我们分析了繁殖季和冬季的物种丰富度地理模式，这些模式与季节性生产的遥感指数（归一化植被指数[NDVI]）以及四种不同空间分辨率下的栖息地异质性测量指标相关。鸟类丰富度与NDVI之间的关系在不同季节是一致的，这表明在一年中这些生态特征不同的时期，可用能量转化为鸟类物种的方式是相似的。繁殖群落中候鸟物种的数量和比例也随着季节性程度的增加而可预测地增加。在更精细的空间尺度上，NDVI是季节性丰富度的更好预测指标，而栖息地异质性在更粗的空间分辨率下对丰富度的预测效果最佳。虽然我们发现有充分证据支持可用能量与物种丰富度之间存在正相关关系，但季节性NDVI最多只能解释丰富度变化的61%。季节性NDVI和栖息地异质性共同解释了高达69%的丰富度变化。
