Question

一段专业翻译

Univariate models indicated that our specialization index showed:
(1) the strongest response to landscape gradients at small
extents (200 m); (2) a negative, threshold response to
urbanization was superior to a linear fit; and (3) no evidence
of time-lagged effects of landscape change.
Interestingly, the form of our model (i.e. linear versus
threshold) influenced the extent at which strongest
effects were detected. Multivariate models relating the
specialization index as well as obligate and facultative
species richness to landscape gradients showed evidence
of annual variability (i.e. composition, parameter
estimates, and variability explained) that did not
depend upon an organism’s degree of specialization.
Our results provide evidence that violations of common
assumptions (e.g. selection of appropriate extent,
lack of time-lagged effects, etc.) can impact the
outcome of DLMs, which could lead to inter-study
inconsistencies.

Answer 1

单变量的模型表明我们的专业化指数表明:
(1)最强烈的反应在小型景观梯度
宽度(200米);(2)一个消极的反应,阈值
城市化,明显优于线性;(3)没有任何证据
时滞效应的景观变化。
有趣的是,我们的模型(即线性对战
阈值的影响程度)在巅峰状态
效果进行检测。多变量模型联系
专业化指数以及预留、授权
物种丰富度指数显示,景观梯度
一年一度的变化(即组成、工艺参数
估计,解释),没有变化
取决于有机体的专业化程度。
我们的研究结果显示,违反了常见的
假设(例如选择适当的程度,
缺乏时滞效应等),可以影响
结果,这将导致DLMs inter-study
矛盾。