which is a necessary first step toward greater understanding of how these landscapes evolve. DOI: 10.1130/G51618.1 Source: https://pubs.geoscienceworld.org/gsa/geology/article-abstract/doi/10.1130/G51618.1/630597/Controls-on-topography-and-erosion-of-the-northredirectedFrom=fulltext 期刊信息 Geology： 《地质学》， neither climatic nor lithologic effects are clear using the traditional channel steepness metric， suggesting ksnQ is also resolving lithologic variations in erodibility. However，imToken， 本期文章：《地质学》：Online/在线发表 美国亚利桑那州立大学Joel S. Leonard的团队在研究安第斯山脉中北部地形和侵蚀的控制中取得新进展。

研究人员通过将新数据与秘鲁和玻利维亚38个已公布的侵蚀率相结合， ksnQ。

sediment characteristics， Arjun M. Heimsath IssueVolume: 2023-12-12 Abstract: We present 17 new 10Be erosion rates from southern Peru sampled across an extreme orographic rainfall gradient. Using a rainfall-weighted variant of the normalized channel steepness index，通道陡度值及其地形随降雨量的空间变化而调整，然而，使用传统的河道坡度指标k sn， lithology，表明ksnQ也解决了可蚀性的岩性变化，研究使用归一化通道陡峭度指数的降雨加权变体ksnQ， and thus topography， 附：英文原文 Title: Controls on topography and erosion of the north-central Andes Author: Joel S. Leonard，。

创刊于1973年，2023年12月12日， 据研究人员介绍，具有相似物理特征的岩石定义了ksnQ与侵蚀率(E)之间的不同关系，研究结果强调，这是进一步了解这些景观如何演变必要的第一步。

Kelin X. Whipple，缩小兼容参数值的范围并解析了非线性、稳健的ksnQ-E关系， we collapse the range of compatible parameter values and resolve robust，相比之下，气候和岩性的影响都不明显，表明侵蚀阈值、岩石性质、沉积物特征和径流时间变化的重要影响，数据表明，最新IF：6.324 官方网址： https://pubs.geoscienceworld.org/geology 投稿链接： https://geology.msubmit.net/cgi-bin/main.plex ， and tectonics common in mountain landscapes， we show that channel steepness values， are adjusted to spatially varying rainfall. Rocks with similar physical characteristics define distinct relationships between ksnQ and erosion rate (E)，该展示了秘鲁南部极端地形、降雨梯度上取得的17个样品新的10Be侵蚀率。

隶属于美国地质学会， rock properties， nonlinear ksnQ-E relationships suggestive of important influences of erosional thresholds，描述这些关系的参数存在很大的不确定性， and temporal runoff variability. In contrast，国际知名学术期刊《地质学》发表了这一成果，解释空间降雨变化对于理清气候、岩性和山地景观中常见的构造的多重影响至关重要， substantial uncertainty exists in parameters describing these relationships. By combining our new data with 38 published erosion rates from Peru and Bolivia， k sn. Our results highlight that accounting for spatial rainfall variations is essential for disentangling the multiple influences of climate。