Do the ecosystems of Gansu Province in Western China's crucial ecological security barrier remain vulnerable? Evidence from remote sensing based on geospatial analysis

Guo, Zhang; Xie, Yaowen; Guo, Hui; Zhang, Xueyuan; Wang, Haoran; Bie, Qiang; Xi, Guilin; Ma, Changhui

doi:10.1016/j.jclepro.2023.136740

Cited by 17 publications

(3 citation statements)

References 76 publications

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“…Based on the geo-information Tupu theory [49], this study quantified the overall conversion process of the ESI from 2000 to 2020 and analyzed the temporal evolution and spatial distribution of the ESI. By categorizing the types of change patterns, this approach assessed whether the ESI remained stable, increased, or decreased between 2000 and 2020.…”

Section: Construction Of Change Monitoring Model For Esimentioning

confidence: 99%

Identifying Ecological Security Patterns Considering the Stability of Ecological Sources in Ecologically Fragile Areas

Ma,

Li,

Jiao

et al. 2024

Land

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Ecological security patterns (ESPs) provide an effective spatial approach for identifying critical conservation areas and ensuring regional ecological security. However, prior research has not paid much attention to the importance of the stability of ecological sources in time-series changes, which is especially critical for maintaining ecological functions in ecologically fragile areas. Focusing on the Ningxia Hui Autonomous Region (NHAR) of China, this study evaluated the spatiotemporal change patterns in ecosystem services importance (ESI) from 2000 to 2020, integrating the spatial principal component analysis (SPCA) and circuit theory to propose a novel ESP construction framework that aims to address the issue of insufficient consideration of source stability. A total of 93 stable ecological sources were identified, with the capacity to ensure the continuous provision of high-level ecosystem services and resistance to external disturbances. The extraction of 234 ecological corridors and 430 ecological nodes effectively enhanced the stable flow of ecological processes and connectivity. The stable ESP, constituted by the above ecological elements, can serve as core ecological space and basic skeleton to maintain the regional sustainable landscape. This study provides scientific references for identifying key priority conservation areas and formulating targeted ecological conservation and restoration strategies in ecologically fragile areas.

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Section: Construction Of Change Monitoring Model For Esimentioning

confidence: 99%

Identifying Ecological Security Patterns Considering the Stability of Ecological Sources in Ecologically Fragile Areas

Ma,

Li,

Jiao

et al. 2024

Land

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“…Anxi County, situated in the northwestern expanse of the Hexi Corridor in Gansu Province, contains the only national‐level nature reserve encompassing an extremely arid desert in China (Liu et al., 2002). Grazing lands within arid and semiarid regions are known for their severe environmental conditions, including extreme temperatures, elevated aridity, limited forage, and water scarcity (Guo et al., 2023). Anxi cattle are among the few native Chinese cattle breeds that have adapted to extremely dry climatic conditions; they are tolerant to food and water shortages and resistant to diseases and have the ability to produce and reproduce under such conditions; therefore, their genome should contain the footprint of multitrait selection.…”

Section: Introductionmentioning

confidence: 99%

Genomic characterization of dryland adaptation in endangered Anxi cattle in China

Lyu,

Yao,

Chen

et al. 2024

Animal Genetics

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Local species exhibit distinctive indigenous characteristics while showing unique productive and phenotypic traits. However, the advent of commercialization has posed a substantial threat to the survival of indigenous species. Anxi cattle, an endangered native breed in China, have evolved unique growth and reproductive characteristics in extreme desert and semidesert ecosystems. In this study, we conducted a genomic comparison of 10 Anxi cattle genomes with those of five other global populations/breeds to assess genetic diversity and identify candidate genomic regions in Anxi cattle. Population structure and genetic diversity analyses revealed that Anxi cattle are part of the East Asian cattle clade, exhibiting higher genetic diversity than commercial breeds. Through selective sweep analysis, we identified specific genetic variations linked to the environmental adaptability of Anxi cattle. Notably, we identified several candidate genes, including CERS3 involved in regulating skin permeability and antimicrobial functions, RBFOX2 associated with cardiac development, SLC16A7 participated in the regulation of pancreatic endocrine function, and SPATA3 related to reproduction. Our findings revealed the distinctive genomic features of Anxi cattle in dryland environments, provided invaluable insights for further research and breed preservation, and had important significance for enriching the domestic cattle breeding gene bank.

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“…Precipitation and air temperature are currently the primary parameters used by many researchers, which are relatively varied concerning vegetation in space due to the effect of climate change on vegetation change [13]. The two areas where human activity has the greatest impact on vegetation change are: (1) implementing ecological initiatives, such as converting farms to forests and shutting down mountains to grow grass [14]; (2) human production and living activities, together with the urbanization process, have the potential to upset the ecosystem's delicate balance, preventing plants from growing normally [15]. We can gain a deeper understanding by thoroughly analyzing the effects of climate change and human activities on vegetation change.…”

Section: Introductionmentioning

confidence: 99%

Regional NDVI Attribution Analysis and Trend Prediction Based on the Informer Model: A Case Study of the Maowusu Sandland

Hou,

Li,

Zheng

et al. 2023

Agronomy

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Terrestrial ecosystems depend heavily on their vegetation; it is possible to forecast future growth trends of regional vegetation by keeping an eye on changes in vegetation dynamics. To circumvent the potential reduction in prediction accuracy caused by the non-stationarity of meteorological changes, we analyzed the characteristics of NDVI (Normalized Difference Vegetation Index) spatial and temporal changes and the influencing factors over the past 20 years in the Maowusu Sandland of China via attribution analysis. We also constructed a comprehensive analysis system for vegetation pre-restoration. Moreover, we combined meteorological data from 2000 to 2018 and presented a deep-learning NDVI-Informer prediction model with a self-attentive mechanism. We also used distillation operation and fusion convolutional neural network for NDVI prediction. Incorporating a probsparse self-attention method successfully overcomes Transformer weaknesses by lowering the memory use and complexity of large time series. It significantly accelerates the inference speed of long time series prediction and works well with non-smooth data. The primary findings were: (1) the Maowusu Sandland’s 20-year average showed a consistent increasing trend in the NDVI at 0.0034 a−1, which was mostly caused by climate change, with a relative contribution rate of 55.47%; (2) The Informer-based model accurately forecasted the NDVI in the research region based on meteorological elements and conducted a thorough analysis of the MAPE (mean absolute percentage error) (2.24%). This suggests that it can effectively lower the data’s volatility and increase prediction accuracy. The anticipated outcomes indicate that the trend will stabilize during the following ten years. To attain more sustainable and efficient agricultural production, the results of this study may be used to accurately estimate future crop yields and NDVI using previous data.

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Do the ecosystems of Gansu Province in Western China's crucial ecological security barrier remain vulnerable? Evidence from remote sensing based on geospatial analysis

Cited by 17 publications

References 76 publications

Identifying Ecological Security Patterns Considering the Stability of Ecological Sources in Ecologically Fragile Areas

Identifying Ecological Security Patterns Considering the Stability of Ecological Sources in Ecologically Fragile Areas

Genomic characterization of dryland adaptation in endangered Anxi cattle in China

Regional NDVI Attribution Analysis and Trend Prediction Based on the Informer Model: A Case Study of the Maowusu Sandland

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