SGER: Development of a landscape approach for understanding the contribution of landsliding to carbon budgets: Using the Rio Jones of the Sierra de Las Minas, Guatemala as a test w

滑坡是一个空间上和暂时可变的过程，可能会对区域碳预算产生巨大影响。考虑到滑坡对植被和土壤中有机碳从山坡上移走、沿山坡-河流界面沉积以及随后在经历演替的滑坡上再生的贡献，这种变异性可能对估算碳库和碳通量具有重要影响。该项目将根据空间(地图)和非空间(植被、土壤和水中碳的实地测量)数据整合到危地马拉拉斯米纳斯山脉模型流域的地理信息系统建模框架中，开发一种用于量化与滑坡有关的碳预算的景观方法。虽然该模型将产生流域和流域尺度的碳库和碳通量估计，但野外数据将允许比较土壤、滑坡沉积物和水的碳同位素组成，从而更好地了解碳向河流系统的转移。开发一种景观方法来研究与滑坡相关的流域和流域尺度的碳库和碳通量，是了解滑坡人口对碳收支的区域影响，最终对全球气候的影响的第一步。此外，这项提议将揭示热带山脉斜坡不稳定的根本因素，包括恢复过程。最后，该项目将产生基本数据，以帮助指导危地马拉拉斯米纳斯山脉生物圈保护区的保护和管理战略，这是一个极易发生山体滑坡的多样性热点。

Landsliding is a spatially and temporarily variable process with potentially large effects on regional C budgets. This variability may have important consequences for estimating C pools and fluxes given the contribution of landsliding to the removal of organic C contained in vegetation and soil from the hillslopes, its deposition along the hillslope-fluvial interface, and its subsequent regeneration on landslides undergoing succession. This project will develop a landscape approach for quantifying C budgets associated with landsliding based on the integration of spatial (maps) and non-spatial (field measurements of C in vegetation, soil, and water) data into a GIS modeling framework for a model watershed in the Sierra de Las Minas, Guatemala. Whereas the model will generate subwatershed- and watershed-scale estimates of carbon pools and fluxes, the field data will permit a comparison between the C isotopic composition of soils, landslide deposits, and water and therefore provide a better understanding of C transfer to the fluvial system.The development of a landscape approach to examine watershed and subwatershed-scale C pools and fluxes associated with landsliding is a first step towards understanding the regional impact of landslide populations on C budgets, and ultimately its influence on global climate. Furthermore, this proposal will shed light into the factors that underlie slope instability in a tropical mountain range, including recovery processes. Finally, this project will generate basic data that will help guide conservation and management strategies for the Sierra de Las Minas Biosphere Reserve of Guatemela, a hotspot of diversity that is highly vulnerable to landsliding.