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Modelling vegetation succession in post-industrial ecosystems using vegetation classification in aerial photographs, Buffalo, New York
Landscape and Urban Planning ( IF 9.1 ) Pub Date : 2020-06-01 , DOI: 10.1016/j.landurbplan.2020.103792
David J. Spiering , Chris P.S. Larsen , Daniel L. Potts

Abstract Post-industrial ecosystems (PIEs) occur where organisms unintentionally establish communities, and are common in regions that contain former industrial areas. There is less published research on PIEs than other ecosystems such as old-fields (i.e. abandoned agriculture lands). Old-fields have been well studied and provided a body of research with which to compare succession in PIEs. We examined the patterns and rates of succession in PIEs using a novel combination of aerial photo interpretations of 3 to 12 year time series of photos within a 45 year chronosequence from 20 PIE sites in and around Buffalo, New York. From these data, we constructed an age-dependent state-transition model of PIE succession. The general successional pattern of vegetation structure in the projected state matrices from this model was a decrease in bare ground associated with a rapid increase in herbaceous vegetation cover followed by a steady increase in woody plant cover. Within this general pattern, there was variability in percent cover of vegetation structural classes between PIE sites of similar age. There was also an overall slowing in the rate of successional change in PIEs. The pattern of succession in vegetation structure from bare ground to herbaceous cover to woody cover, the rapid establishment of vegetation following abandonment and a slowing in the rate vegetation change over time all agree with results reported in the old-field literature. These results provide a better understanding of these little-studied ecosystems and this new methodology can be applied for management of PIEs.

中文翻译:

使用航空照片中的植被分类模拟后工业生态系统中的植被演替,布法罗,纽约

摘要 后工业生态系统 (PIE) 发生在生物无意中建立群落的地方,并且在包含前工业区的地区很常见。与旧田(即废弃农田)等其他生态系统相比,关于 PIE 的已发表研究较少。旧油田得到了很好的研究,并提供了大量研究来比较 PIE 中的演替。我们使用来自纽约布法罗及其周围 20 个 PIE 站点的 45 年时间序列内 3 到 12 年时间序列照片的航空照片解释的新颖组合,检查了 PIE 中的演替模式和速率。根据这些数据,我们构建了 PIE 演替的年龄相关状态转换模型。该模型的预测状态矩阵中植被结构的一般演替模式是裸地减少与草本植被覆盖率快速增加相关,随后木本植物覆盖率稳步增加。在这种一般模式中,相似年龄的 PIE 站点之间植被结构类别的覆盖百分比存在差异。PIE 的连续变化速度也整体放缓。植被结构从裸地到草本覆盖到木本覆盖的演替模式,植被在废弃后的快速建立以及植被随时间变化的速度放缓都与旧田文献中报道的结果一致。
更新日期:2020-06-01
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