Dyn-2, Dynamac Corporation, Kennedy Space Center, Florida 32899, USA.
Ecology. 2009 Nov;90(11):3180-9. doi: 10.1890/08-1123.1.
Quantifying habitat-specific survival and changes in habitat quality within disturbance-prone habitats is critical for understanding population dynamics and variation in fitness, and for managing degraded ecosystems. We used 18 years of color-banding data and multistate capture-recapture models to test whether habitat quality within territories influences survival and detection probability of breeding Florida Scrub-Jays (Aphelocoma coerulescens) and to estimate bird transition probabilities from one territory quality state to another. Our study sites were along central Florida's Atlantic coast and included two of the four largest metapopulations within the species range. We developed Markov models for habitat transitions and compared these to bird transition probabilities. Florida Scrub-Jay detection probabilities ranged from 0.88 in the tall territory state to 0.99 in the optimal state; detection probabilities were intermediate in the short state. Transition probabilities were similar for birds and habitat in grid cells mapped independently of birds. Thus, bird transitions resulted primarily from habitat transitions between states over time and not from bird movement. Survival ranged from 0.71 in the short state to 0.82 in the optimal state, with tall states being intermediate. We conclude that average Florida Scrub-Jay survival will remain at levels that lead to continued population declines because most current habitat quality is only marginally suitable across most of the species range. Improvements in habitat are likely to be slow and difficult because tall states are resistant to change and the optimal state represents an intermediate transitional stage. The multistate modeling approach to quantifying survival and habitat transition probabilities is useful for quantifying habitat transition probabilities and comparing them to bird transition probabilities to test for habitat selection in dynamic environments.
量化易受干扰栖息地内特定栖息地的生存和栖息地质量变化对于了解种群动态和适应度变化以及管理退化生态系统至关重要。我们使用了 18 年的彩色带数据和多状态捕获-再捕获模型,以测试领地内的栖息地质量是否会影响繁殖佛罗里达灌丛松鸦(Aphelocoma coerulescens)的生存和检测概率,并估计鸟类从一个领地质量状态向另一个状态的过渡概率。我们的研究地点位于佛罗里达州中部大西洋沿岸,包括该物种范围内四个最大的集合种群中的两个。我们为栖息地过渡开发了马尔可夫模型,并将这些模型与鸟类过渡概率进行了比较。佛罗里达灌丛松鸦的检测概率范围从高大领地状态的 0.88 到最佳状态的 0.99;在短状态下,检测概率居中。在独立于鸟类绘制的网格单元中,鸟类和栖息地的转移概率相似。因此,鸟类的过渡主要是由于随着时间的推移在状态之间的栖息地过渡,而不是由于鸟类的移动。生存范围从短状态的 0.71 到最佳状态的 0.82,高大状态居中。我们的结论是,由于大多数当前的栖息地质量在物种分布的大部分地区仅略微适宜,因此佛罗里达灌丛松鸦的平均存活率将保持在导致种群持续减少的水平。由于高大状态具有抵抗力且最佳状态代表中间过渡阶段,因此改善栖息地可能会缓慢而困难。用于量化生存和栖息地过渡概率的多状态建模方法对于量化栖息地过渡概率并将其与鸟类过渡概率进行比较以测试动态环境中的栖息地选择非常有用。