4.7 Article

Spatial sampling design optimization of monitoring network for terrestrial ecosystem in China

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 847, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.scitotenv.2022.157397

关键词

Forest; Grassland and desert; Spatial representativeness; Spatial sampling method; Data-driven approach

资金

  1. National Natural Science Foundation of China [42030509]
  2. Ministry of Ecology and Environment Budget Project of Supervision and Management of Ecological Conservation Redline

向作者/读者索取更多资源

The rapid socioeconomic development has led to the deterioration of the ecological environment. This study proposes a monitoring network design to enhance ecosystem assessment in China. The network consists of core stations and localized points, and focuses on ecosystem services such as NPP, water conservation, soil retention, and sandstorm prevention. The selection of core stations is based on spatial representativeness in different ecoregions, while localized points are chosen for observing specific services. Expert knowledge is used to make final decisions, resulting in 60 core stations and 176 localized points for the monitoring network.
The rapid socioeconomic development leads to the deterioration of ecological environment. Ecosystem assessment has been conducted worldwide, e.g. the Millennium Ecosystem Assessment to assess consequences of ecosystem change for human well-being. To enhance ecosystem assessment in China, this study proposes the design of a monitoring network for the terrestrial ecosystem consisting of core stations and localized points. With focus on ecosystem services of NPP, water conservation, soil retention and sandstorm prevention, core stations of the monitoring network for observ-ing all four services are first selected by assessing and improving spatial representativeness in ecoregions of forest, grassland and desert ecosystems. Then a spatial sampling method is applied to choose localized points for observing each specific service. Eventually expert's knowledge is used to make final decisions of added stations and points by utilizing existing networks and considering factors such as topography, spatial coverage. Combining both aforementioned approaches and experts knowledge, 60 core stations and 176 localized points are finally determined for the monitoring network. For the forest ecosystem, 39 core stations are decided with 31 selected from existing networks and eight newly added core stations improve spatial representativeness by 51.58 %, 68.11 % and 75.55 % in Temper-ate grasslands, Temperate desert and Alpine vegetation in Tibet Plateau respectively. For the grassland and desert eco-system, 21 core stations are chosen with 18 from existing networks and three newly added core stations improve the representativeness by 21.60 % and 44.88 % in Tibet alpine grassland and Grassland in southern mountain areas respectively. Priorities in the implementation phase should be given to instruments installation for monitoring all four services in core stations from existing networks and setting up new stations in regions where representativeness are significantly improved.

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