Grant Evan H Campbell, Brand Adrianne B, De Wekker Stephan F J, Lee Temple R, Wofford John E B
SO Conte Anadromous Fish Laboratory USGS Patuxent Wildlife Research Center Turners Falls Massachusetts.
Department of Environmental Sciences University of Virginia Charlottesville Virginia.
Ecol Evol. 2018 Jul 6;8(15):7553-7562. doi: 10.1002/ece3.4198. eCollection 2018 Aug.
A frequent assumption in ecology is that biotic interactions are more important than abiotic factors in determining lower elevational range limits (i.e., the "warm edge" of a species distribution). However, for species with narrow environmental tolerances, theory suggests the presence of a strong environmental gradient can lead to persistence, even in the presence of competition. The relative importance of biotic and abiotic factors is rarely considered together, although understanding when one exerts a dominant influence on controlling range limits may be crucial to predicting extinction risk under future climate conditions. We sampled multiple transects spanning the elevational range limit of and site and climate covariates were recorded. A two-species conditional occupancy model, accommodating heterogeneity in detection probability, was used to relate variation in occupancy with environmental and habitat conditions. Regional climate data were combined with datalogger observations to estimate the cloud base heights and to project future climate change impacts on cloud elevations across the survey area. By simultaneously accounting for species' interactions and habitat variables, we find that elevation, not competition, is strongly correlated with the lower elevation range boundary, which had been presumed to be restricted mainly as a result of competitive interactions with a congener. Because the lower elevational range limit is sensitive to climate variables, projected climate change across its high-elevation habitats will directly affect the species' distribution. Testing assumptions of factors that set species range limits should use models which accommodate detection biases.
生态学中一个常见的假设是,在决定较低海拔范围界限(即物种分布的“温暖边缘”)时,生物相互作用比非生物因素更重要。然而,对于环境耐受性狭窄的物种,理论表明即使存在竞争,强烈的环境梯度也可能导致其持续存在。生物和非生物因素的相对重要性很少被同时考虑,尽管了解何时一方对控制范围界限施加主导影响对于预测未来气候条件下的灭绝风险可能至关重要。我们对跨越[物种名称]海拔范围界限的多个样带进行了采样,并记录了地点和气候协变量。使用一个考虑了检测概率异质性的两物种条件占用模型,将占用变化与环境和栖息地条件联系起来。将区域气候数据与数据记录器观测结果相结合,以估计云底高度,并预测未来气候变化对整个调查区域云高度的影响。通过同时考虑物种间相互作用和栖息地变量,我们发现海拔而非竞争与较低海拔范围边界密切相关,而较低海拔范围边界此前被认为主要是由于与同属物种的竞争相互作用而受到限制。由于较低海拔范围界限对气候变量敏感,其高海拔栖息地预计的气候变化将直接影响该物种的分布。检验设定物种范围界限的因素假设时应使用考虑检测偏差的模型。