基本信息
浏览量:14
![](https://originalfileserver.aminer.cn/sys/aminer/icon/show-trajectory.png)
个人简介
My work seeks to develop more spatially explicit analyses and novel applications of FIA data that will enhance our understanding of forest dynamics such as mortality, disturbance, and land use/land cover change. Current research projects include:
Linking forest dynamics with water resources - This work combines ground-based FIA measurements with remote sensing and hydrologic data to study the effects of forest disturbance on ecohydrologic processes. Our goal is to evaluate the effects of observed and projected future forest dynamics on water availablity, both for downstream users and for forests.
Whitebark and limber pine monitoring across the western US - This ongoing study capitalizes on the spatial and temporal representativeness of the FIA dataset to assess high-elevation 5-needle pines throughout their US ranges. Previous results indicate that the distribution of whitebark pines is far more widespread among mixed-composition stands – particularly the lodgepole pine forest type – than in pure whitebark pine stands, and that mortality has outpaced growth for both whitebark and limber pine in recent years.
International outreach and tech transfer - In addition to my ongoing work with FIA data, I periodically serve temporary assignments with USFS International Programs and represent the US Forest Service and SilvaCarbon to the Global Forest Observations Initiative. I provide technical assistance to other countries in the areas of data quality assurance (quality assessment and quality control, or QA/QC), definition of forest monitoring objectives, field data collection, and analysis/reporting.
Riparian forests - This collaboration involves multiple stakeholders who are developing recommendations for restoration of riparian forests in Utah. The results of the collaboration will be published as a guide for land owners and managers who want to implement riparian forest restoration projects.
Linking forest dynamics with water resources - This work combines ground-based FIA measurements with remote sensing and hydrologic data to study the effects of forest disturbance on ecohydrologic processes. Our goal is to evaluate the effects of observed and projected future forest dynamics on water availablity, both for downstream users and for forests.
Whitebark and limber pine monitoring across the western US - This ongoing study capitalizes on the spatial and temporal representativeness of the FIA dataset to assess high-elevation 5-needle pines throughout their US ranges. Previous results indicate that the distribution of whitebark pines is far more widespread among mixed-composition stands – particularly the lodgepole pine forest type – than in pure whitebark pine stands, and that mortality has outpaced growth for both whitebark and limber pine in recent years.
International outreach and tech transfer - In addition to my ongoing work with FIA data, I periodically serve temporary assignments with USFS International Programs and represent the US Forest Service and SilvaCarbon to the Global Forest Observations Initiative. I provide technical assistance to other countries in the areas of data quality assurance (quality assessment and quality control, or QA/QC), definition of forest monitoring objectives, field data collection, and analysis/reporting.
Riparian forests - This collaboration involves multiple stakeholders who are developing recommendations for restoration of riparian forests in Utah. The results of the collaboration will be published as a guide for land owners and managers who want to implement riparian forest restoration projects.
研究兴趣
论文共 72 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Forest Ecology and Management (2023): 121232-121232
WATER RESOURCES RESEARCHno. 6 (2022)
Homa Salehabadi,David G. Tarboton, Eric Kuhn, B. Udall,Kevin Wheeler,David M. Rosenberg,Sara A. Goeking,John C. Schmidt
user-61447a76e55422cecdaf7d19(2022)
引用0浏览0引用
0
0
user-61447a76e55422cecdaf7d19(2022)
引用0浏览0引用
0
0
user-61447a76e55422cecdaf7d19(2022)
引用13浏览0引用
13
0
user-61447a76e55422cecdaf7d19(2022)
引用0浏览0引用
0
0
crossref(2022)
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn