Jiahao Ma
Harbin Institute of Technology
10 Papers
Jiahao Ma is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Ecosystem & Ecosystem services. The author has co-authored 1 publications.
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Papers
Exploring the spatial heterogeneity of ecosystem services and influencing factors on the Qinghai Tibet Plateau
TL;DR: The spatial heterogeneity characteristics of ecosystem services (ESs) and their influencing mechanisms is crucial for regional ecological management and sustainable development in the Qinghai Tibet Plateau (QTP) as discussed by the authors .
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Ecological risk assessment and identification of risk control priority areas based on degradation of ecosystem services: A case study in the Tibetan Plateau
TL;DR: In this article , a two-dimensional matrix is constructed based on the probability of risk occurrence and the possible loss caused by the risk for ecological risk assessment, with topographic sensitivity, ecological resilience, landscape vulnerability, and ecological sensitivity as probability representations, and the degradation of key ecosystem services as loss representations to improve the traditional ERA model.
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Identification of priority protected areas in Yellow River Basin and detection of key factors for its optimal management based on multi-scenario trade-off of ecosystem services
TL;DR: In this article , the spatial and temporal fluctuations in carbon sequestration, water yield, sandstorm fixation, and soil conservation in the Yellow River Basin (YRB) were quantified based on CASA, InVEST, RWEQ, and RUSLE.
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Ecological barriers: An approach to ecological conservation and restoration in China.
Xiaoxue Wang,Xiaofeng Wang,Xinrong Zhang,Jitao Zhou,Zixu Jia,Jiahao Ma,Wenjie Yao,You Tu,Zechong Sun,Yuhan Wei +9 more
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Evaluation and Comparison of Reanalysis Data for Runoff Simulation in the Data-Scarce Watersheds of Alpine Regions
Xiaofeng Wang,Jitao Zhou,Jiahao Ma,Pingping Luo,Xinxin Fu,Xiaoming Feng,Xinrong Zhang,Zixu Jia,Xiaoxue Wang,Xiao Huang +9 more
TL;DR: Evaluation and comparison of reanalysis data for runoff simulation in data-scarce watersheds of Alpine regions focuses on the accuracy of precipitation and temperature reanalysis data and its impact on runoff simulations. The results suggest that the CMFD reanalysis dataset is the most representative for precipitation characteristics, while the CMADS dataset performs well for temperature simulations. The accuracy of runoff simulations is contingent upon the precision of daily precipitation within the reanalysis dataset.
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