Correlative ecological niche models have been widely used to infer the organisms' environmental suitability; nevertheless, the relationship between this estimated suitability and their abundance is less clear. The ecological theory proposes that the internal structure of a species niche determines its abundance. Specifically, abundance should decrease from the niche centroid to its margins (i.e., distance to the niche centroid-abundance hypothesis - DNC-abundance), showing a negative relationship. This study tested this hypothesis using a high-quality dataset of catch per unit of effort as a proxy of the abundance of the red octopus (Octopus maya) collected during its fishing season in the Yucatan Shelf, Mexico in 2012. Species' niche was estimated with half of the abundance data taken as presence-only records and environmental variables that consisted of temperature and salinity. The remaining data were used to analyze the DNC-abundance. The protocol was repeated using the abundance and environmental data corresponding to each month of the fishing season. The effect of estimating the species niche was also examined using two different environmental datasets: one that matched abundance in a more finely temporal resolution (average values of the corresponding month in 2012 at a resolution of 9 km²) versus another one with a coarser temporal resolution (long-term data: salinity [1955–2006] and temperature [2002−2010] at a resolution of 1 km²). A consistent inverse relationship was found between abundance and distance to the centroid for the most evaluated scenarios, suggesting that niche structure could be informative for fishery monitoring even under climate change scenarios. In addition, contrary to our expectations, relationships were stronger when the coarse temporal resolution variables were used, which suggests that longer temporal environmental conditions may determine population abundance, probably due to seasonal aggregation in the western region of the Yucatan Peninsula.

相关生态位模型已被广泛用于推断生物的环境适宜性；然而，这种估计的适宜性与其丰度之间的关系不太清楚。生态理论提出，物种生态位的内部结构决定了它的丰度。具体来说，丰度应该从生态位质心到其边缘减少（即到生态位质心的距离-丰度假设 - DNC-丰度），显示出负相关。这项研究使用每单位努力的捕获量的高质量数据集作为红章鱼（章鱼玛雅）丰度的代理来检验这一假设) 于 2012 年在墨西哥尤卡坦大陆架的捕鱼季节收集。物种的生态位估计有一半的丰度数据作为仅存在的记录和环境变量，包括温度和盐度。剩余的数据用于分析 DNC 丰度。使用对应于每个捕鱼季节的丰度和环境数据重复该协议。还使用两个不同的环境数据集检查了估计物种生态位的效果：一个以更精细的时间分辨率（2012 年相应月份的平均值，分辨率为 9 km ²）与另一个以更粗略的时间分辨率匹配丰度。分辨率（长期数据：盐度 [1955-2006] 和温度 [2002-2010]，分辨率为 1 公里² ）。对于大多数评估的情景，在丰度和到质心的距离之间发现了一致的反比关系，这表明即使在气候变化情景下，生态位结构也可以为渔业监测提供信息。此外，与我们的预期相反，当使用粗略的时间分辨率变量时，相关性更强，这表明较长的时间环境条件可能决定人口丰度，这可能是由于尤卡坦半岛西部地区的季节性聚集所致。