Spatial and temporal patterns of land loss in the Lower Mississippi River Delta from 1983 to 2016
Spatial and temporal patterns of land loss in the Lower Mississippi River Delta from 1983 to 2016
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1983年至2016年密西西比河下游三角洲土地流失的时空格局
DOI：
10.1016/j.rse.2020.112046
复制
发表时间：
2020
影响因子：
13.5
通讯作者：
Edmonds, Douglas A.
中科院分区：
文献类型：
--
作者：
Roy, Samapriya;Robeson, Scott M.;Ortiz, Alejandra C.;Edmonds, Douglas A.
路易斯安那州沿海的密西西比三角洲是世界上土地流失率最高的地区之一。这场土地流失危机可能会成为一个全球性问题，因为预计大多数主要三角洲在 21 世纪剩余时间及以后都将容易遭受土地流失的影响。尽管面临这种困境，我们仍然不了解三角洲环境中的土地流失在时间和空间上是如何进行的。在这里，我们使用空间统计和景观指标评估密西西比河下游三角洲（LMRD）地区土地流失的空间和时间趋势。我们使用近 4800 张 Landsat 图像构建了从 1983 年到 2016 年的一系列三年无云合成图像。根据这些数据，我们创建了稳定性指数 (SI)，它是陆地像素在被视为丢失之前进行的陆地到水转换次数的无量纲度量。我们的结果表明，在 LMRD 上，75% 的土地损失是从陆地到水域的一次过渡，而大约 25% 的土地像素在被视为损失之前有两次或多次过渡。使用空间关联的局部指标，我们发现具有相似 SI 的像素倾向于聚集在一起。单过渡簇（低 SI）形成细长的形状，它们密集排列，并且主要（但并非总是）出现在沼泽边缘。另一方面，多跃迁簇（高 SI）形成方形形状，它们更加分散，通常出现在沼泽内部。我们的分析进一步表明，高稳定性和低稳定性空间斑块内的土地流失面积与土地斑块的密度及其形状密切相关（R2分别为0.717和0.545）。我们的分析表明，与沼泽内部的土地损失像素相比，沼泽边缘的土地损失像素经历了不同的土地损失时间模式。我们假设出现这种情况是因为波浪边缘侵蚀导致了沼泽边缘的土地流失，而与沉降相关的洪水则导致了沼泽内部的土地流失。稳定性指数提供了一种有用的方法来描述导致土地流失的过程。
The Mississippi Delta in coastal Louisiana has some of the highest rates of land loss in the world. This land-loss crisis might become a global problem because most major deltas are expected to be vulnerable to land loss during the remainder of the 21st century and beyond. Despite this predicament, we do not understand how land loss in a deltaic environment proceeds in time and space. Here, we evaluate the spatial and temporal trends of land loss in the Lower Mississippi River Delta (LMRD) region using spatial statistics and landscape metrics. We used nearly 4800 Landsat images to construct a series of three-year cloud-free composites from 1983 to 2016. From these data, we created a stability index (SI), which is a dimensionless measure of the number of land-to-water transitions that a land pixel makes before being considered lost. Our results indicate that on the LMRD, 75% of land loss is a single transition from land to water, while about 25% of land pixels have two or more transitions before being considered lost. Using a local indicator of spatial association, we show that pixels with similar SI tend to cluster together. Single transition clusters (low SI) form elongated shapes, they are densely packed, and they are predominantly, but not always, found on marsh edges. On the other hand, multi-transition clusters (high SI) form square-like shapes, they are more fragmented, and they are usually found in marsh interiors. Our analysis further shows that the land-loss area within the spatial patches with both high and low stability is strongly related to the density of land patches and their shape (R2of 0.717 and 0.545 respectively). Our analysis suggests that land-loss pixels on the marsh edges undergo different temporal patterns of land loss compared to those in the marsh interior. We hypothesize that this arises because wave edge-erosion drives land loss on marsh edges, whereas subsidence-related flooding drives land loss in marsh interiors. The stability index provides a useful way to characterize the processes causing land loss.
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影响因子：
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作者：
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干扰过程和生态系统管理
DOI：
--
发表时间：
1994
期刊：
--
影响因子：
--
作者：
R. Averill;L. Larson;J. Saveland;P. Wargo;Jerry Williams;M. Bellinger
通讯作者：
M. Bellinger
影响因子：
13.5
作者：
Gorelick, Noel;Hancher, Matt;Moore, Rebecca
通讯作者：
Moore, Rebecca