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Erratum
Ecological Applications ( IF 5 ) Pub Date : 2021-01-18 , DOI: 10.1002/eap.2232


Errata for Latif, Q. S., R. L. Truex, R. A. Sparks, and D. C. Pavlacky, Jr. 2020. Dry conifer forest restoration benefits Colorado Front Range avian communities. Ecological Applications 30:e02142.

The authors wish to report three errors. The first error concerns the way they calculated species richness with community occupancy models. This error does not affect the results but does require updating equations and figures for species richness as described herein. The second error is in the display of equations 4 and 5 and the third error is within Table 2.

Corrections to the first error regarding species richness are as follows. First, in the Methods, Data analysis, Species richness section, two equations in the first paragraph for derived out‐of‐sample predicted richness require the omega symbol to represent the probability of a species belonging to the super community, which governs the distribution of wi shown in the text between Eq. 3 and 4 of the publication. The corrected sentence appears below.

We also derived out‐of‐sample predicted richness: N ^ ψ , pred , k t = i = 1 M ψ ikt × Ω and N ^ θ , pred , j k = i = 1 M ψ 0 , i × θ ijk × Ω along covariate gradients, where ψ 0 , i  = predicted grid occupancy at mean covariate values.

Second, in the Results, Species richness section, second paragraph, the following sentence requires clarification: “Median predicted richness increased from grid cells in landscapes with no openings or gaps to grid cells associated with maximum gap extent (27%) or maximum open forest extent (77%) by six species (Fig. 4).” This sentence should specify the median predicted richness increased by five species for grid cells associated with maximum gap extent.

Finally, Figs. 4, 5, 4, 5 are adjusted for species richness and included here.

image
Fig. 4
Open in figure viewerPowerPoint
Species richness in relation to treatment metrics. Estimates are posterior median with 95% Bayesian credible intervals. Points and error bars are finite‐sample estimates ( N ^ Ψ , obs , N ^ θ , obs ) and lines with error bands ( N ^ Ψ , pred , N ^ θ , pred ) are predicted values.
image
Fig. 5
Open in figure viewerPowerPoint
Species richness in relation to habitat metrics. Estimates are posterior median with 95% Bayesian credible intervals. Points and error bars are finite‐sample estimates ( N ^ Ψ , obs , N ^ θ , obs ) and lines with error bands ( N ^ Ψ , pred , N ^ θ , pred ) are predicted values.
The corrections for the second error regarding display equations are as follows. Eqs. 4, 5 currently read:
logit p ijkt = α 0 , i + α i × X j k t (4)
and
logit θ ijkt = β 0 , i + b i × X j k t . (5)
The parameters in the second term in each equation should be bold because they represent vectors, and the parameter representing covariate relationships should be represented as β instead of b. Thus, the two equations should appear as follows:
logit p ijkt = α 0 , i + α i × X j k t (4)
and
logit θ ijkt = β 0 , i + β i × X j k t . (5)

The third error concerns the definition of Perimeter:area ratio of open forest (PAROpn) in Table 2. The current definition reads “Mean perimeter‐area ratio for patches of <10% LANDFIRE canopy cover”. The definition should read “Mean perimeter‐area ratio for patches of 10–40% LANDFIRE canopy cover”.



中文翻译:

勘误表

适用于Latif,QS,RL Truex,RA Sparks和DC Pavlacky,2020年的勘误。干燥的针叶林恢复有益于科罗拉多州前线鸟类社区。生态应用30:e02142。

作者希望报告三个错误。第一个错误涉及他们使用社区占用模型计算物种丰富度的方式。此错误不会影响结果,但需要更新此处描述的物种丰富度的方程式和数字。第二个错误出现在方程式4和5的显示中,第三个错误出现在表2中。

关于物种丰富度的第一个错误的更正如下。首先,在“方法,数据分析,物种丰富度”部分中,第一段中的两个方程式用于推导样本外预测的丰富度,要求使用欧米加符号来表示物种属于超群落的概率,该概率决定着超生物群落的分布。瓦特等式之间的文本显示。该出版物的第3和第4页。更正的句子出现在下面。

我们还得出了样本外预测的丰富度: ñ ^ ψ 掠夺 ķ Ť = 一世 = 1个 中号 ψ t × Ω ñ ^ θ 掠夺 Ĵ ķ = 一世 = 1个 中号 ψ 0 一世 × θ 约克 × Ω 沿协变量梯度,其中 ψ 0 一世  =在平均协变量值下的预测网格占用率。

其次,在“结果,物种丰富度”部分第二段中,以下句子需要澄清:“预测的丰富度中值从无空缺或没有空隙的景观中的网格单元增加到与最大差距程度(27%)或最大开阔森林有关的网格单元六个物种的分布范围(77%)(图4)。” 该句子应指定与最大间隙范围相关的网格单元的预测丰富度的中位数增加五种。

最后,无花果。针对物种丰富程度调整了4、5、4、5,并在此处包括。

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图4
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与治疗指标有关的物种丰富度。估计值是后中位数,贝叶斯可信区间为95%。点和误差线是有限样本估计值( ñ ^ Ψ 肥胖 ñ ^ θ 肥胖 )和带误差带的线( ñ ^ Ψ 掠夺 ñ ^ θ 掠夺 )是预测值。
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图5
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与栖息地指标有关的物种丰富度。估计值是后中位数,贝叶斯可信区间为95%。点和误差线是有限样本估计值( ñ ^ Ψ 肥胖 ñ ^ θ 肥胖 )和带误差带的线( ñ ^ Ψ 掠夺 ñ ^ θ 掠夺 )是预测值。
关于显示方程的第二误差的校正如下。等式 4、5当前阅读:
Logit p 伊克特 = α 0 一世 + α 一世 × X Ĵ ķ Ť (4)
Logit θ 伊克特 = β 0 一世 + b 一世 × X Ĵ ķ Ť (5)
每个方程式中第二项的参数应为粗体,因为它们表示矢量,并且表示协变量关系的参数应表示为β而不是b。因此,两个等式应如下所示:
Logit p 伊克特 = α 0 一世 + α 一世 × X Ĵ ķ Ť (4)
Logit θ 伊克特 = β 0 一世 + β 一世 × X Ĵ ķ Ť (5)

第三个错误涉及表2中开放林的周长:面积比(PAROpn)的定义。当前定义为“ LANDFIRE冠层覆盖率小于10%的斑块的周长-面积比”。该定义应显示为“ 10-40%LANDFIRE冠层覆盖的补丁的平均周长比”。

更新日期:2021-03-01
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