Grassland degradation and restoration monitoring and driving forces analysis based on long time-series remote sensing data in Xilin Gol League

Sun, Bin; Li, Zengyuan; Gao, Zhong‐Hua; Guo, Zhaoyang; Wang, Bengyu; Hu, Xiaolong; Bai, Lei

doi:10.1016/j.chnaes.2017.02.009

Cited by 44 publications

(33 citation statements)

References 31 publications

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“…A large majority of the studies investigated grassland productivity, usually a mass unit per area per time, based on satellite data using a light use efficiency (LUE) model [93][94][95][96]. The variant, which was mostly used among the reviewed studies, is the CASA (Carnegie-Ames-Stanford Approach) model, e.g., [97,98]. Within the CASA model and generally within LUE models, the productivity is calculated as a function of absorbed photosynthetically active radiation (APAR) and the LUE.…”

Section: Mapping Grassland Production Using a Vegetation Index And Grmentioning

confidence: 99%

Remote Sensing of Grassland Production and Management—A Review

2020

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Grasslands cover one third of the earth’s terrestrial surface and are mainly used for livestock production. The usage type, use intensity and condition of grasslands are often unclear. Remote sensing enables the analysis of grassland production and management on large spatial scales and with high temporal resolution. Despite growing numbers of studies in the field, remote sensing applications in grassland biomes are underrepresented in literature and less streamlined compared to other vegetation types. By reviewing articles within research on satellite-based remote sensing of grassland production traits and management, we describe and evaluate methods and results and reveal spatial and temporal patterns of existing work. In addition, we highlight research gaps and suggest research opportunities. The focus is on managed grasslands and pastures and special emphasize is given to the assessment of studies on grazing intensity and mowing detection based on earth observation data. Grazing and mowing highly influence the production and ecology of grassland and are major grassland management types. In total, 253 research articles were reviewed. The majority of these studies focused on grassland production traits and only 80 articles were about grassland management and use intensity. While the remote sensing-based analysis of grassland production heavily relied on empirical relationships between ground-truth and satellite data or radiation transfer models, the used methods to detect and investigate grassland management differed. In addition, this review identified that studies on grassland production traits with satellite data often lacked including spatial management information into the analyses. Studies focusing on grassland management and use intensity mostly investigated rather small study areas with homogeneous intensity levels among the grassland parcels. Combining grassland production estimations with management information, while accounting for the variability among grasslands, is recommended to facilitate the development of large-scale continuous monitoring and remote sensing grassland products, which have been rare thus far.

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Section: Mapping Grassland Production Using a Vegetation Index And Grmentioning

confidence: 99%

Remote Sensing of Grassland Production and Management—A Review

2020

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“…Corresponding to the vegetation types, IM includes chernozem (meadow steppe), chestnut (typical steppe), and calcic brown (desert steppe and steppe desert) soils. The dominant sandy lands (27.2% of total area in 2015) include Maowusu and Kubuqin in the west, Hunshandak in the center, and Horqin and Hulunbuir in the east [43]. The land-use types from northeast to west are dominated by forest, grassland, and desert.…”

Section: Study Areamentioning

confidence: 99%

“…The main goals of this study are (1) to analyze LUCC processes and patterns over space and time in Inner Mongolia between 1990 and 2015, (2) to evaluate grassland degradation that is based on an analysis of land-use changes, and (3) to discuss the possible relationship between land-use processes and ecological policies. 2 , is the third largest province in China (Figure 1), with average elevation of 1000 m. The topography is characterized by vast plains, the elevation decreasing gradually from south to north and from west to east (ranging between 1400 and 700 m above sea level) [43]. IM includes six plateaus: Hulunbeir, Xilingol, Wulandchabu, Bayannaoer, Alashan, and Eerduosi [43].…”

Section: Introductionmentioning

confidence: 99%

“…2 , is the third largest province in China (Figure 1), with average elevation of 1000 m. The topography is characterized by vast plains, the elevation decreasing gradually from south to north and from west to east (ranging between 1400 and 700 m above sea level) [43]. IM includes six plateaus: Hulunbeir, Xilingol, Wulandchabu, Bayannaoer, Alashan, and Eerduosi [43]. The climate varies from arid and semiarid to humid from west to east [44,45].…”

Section: Introductionmentioning

confidence: 99%

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An Analysis of Land-Use Change and Grassland Degradation from a Policy Perspective in Inner Mongolia, China, 1990–2015

Nacun

2018

Sustainability

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Land-use and land-cover changes have important effects on ecology, human systems, the environment, and policy at both global and regional scales. Thus, they are closely related to human activities. The extraction of more details about land-use change and grassland degradation is necessary to achieve future sustainable development in Inner Mongolia. The current study presents the patterns and processes of land-use changes over space and time, while also analyzing grassland degradation that is based on an analysis of land-use changes using a transition matrix, the Markov chain model and Moran’s I index, and a combination of long-time-scale remote sensing data as the data source. The major results indicate the following. (1) In 1990–2015, 13% (123,445 km2) of the total study area, including eight land-use types, changed. Woodland increased the most and moderate grassland decreased the most. (2) Grassland degradation, which occupied 2.8% of the total area of Inner Mongolia, was the major land-use conversion process before 2000, while, after 2000, 8.7% of the total area was restored; however, grassland degradation may still be the major ecological issue in Inner Mongolia. (3) Environmental protection policies show a close relationship with land-use conversion.

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“…Several multi-disciplinary approaches integrated with multiple data sources and methodologies to study the implications of land degradation are need of the hour. Monitoring and assessment of regional land degradation or restoration of land is very important so as to understand the dynamic trend of land degradation or restoration, providing better scientific prevention and environmental control (Sun et al 2017). To address the gaining issue and a systematic understanding of the changes magnitude in land degradation at the temporal and regional scales, remote sensing and geographical information system (GIS) have been selected as the best utilities.…”

Section: Introductionmentioning

confidence: 99%

Assessment of land degradation and implications on agricultural land in Qalyubia Governorate, Egypt

Kawy

Darwish

2019

Bull Natl Res Cent

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Background: Land degradation considers as a phenomena or more that decrease the current and/or the potential soil capability to produce goods. It signifies a regression from a higher to lower state, owing to descend in land capability, productivity, and decline of biodiversity. This study is an attempt to address the complexity of land degradation issue, particularly in the targeted farming irrigated fields, Qalyubia Governorate, Egypt. It aims to assess and observe degradation hazard through satellite image analyze, model trends of degradation, and generate a change detection hazard map for the investigated area. Results: The maximum likelihood supervised classification tool and post classification change detection technique were implemented for monitoring changes in land qualities. Land degradation indicator data layers were summarized into the metrological data, ground truth, vegetation cover, and the applied land management practices. The Modified Global Assessment of Soil Degradation GLASOD model was adapted to model land degradation, specify its action in term of degradation degree, relative extent, severity level, and causative factors. Land degradation processes were evaluated in the delineated mapping units. The result indicated that the studied areas are considered as quite unstable in term of ecosystem due to active degradation resulting from aridity phenomena, soil properties, and improper farm management. Conclusion: The most active land degradation processes are assessment of salinization, waterlogging, alkalization, and soil compaction.

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Grassland degradation and restoration monitoring and driving forces analysis based on long time-series remote sensing data in Xilin Gol League

Cited by 44 publications

References 31 publications

Remote Sensing of Grassland Production and Management—A Review

Remote Sensing of Grassland Production and Management—A Review

An Analysis of Land-Use Change and Grassland Degradation from a Policy Perspective in Inner Mongolia, China, 1990–2015

Assessment of land degradation and implications on agricultural land in Qalyubia Governorate, Egypt

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