Effect of land-use change and optimization on the ecosystem service values of Jiangsu province, China

Monitoring the spatio-temporal variation of the land-use/land cover change (LULC) and ecosystem service value (ESV) changes will help achieve regional sustainable development and management. Derong County is a part of the Hengduan Mountains area, the most crucial ecological functional area in China, and LULC has changed tremendously in the past 30 years. However, the effects of LULC changes on ecosystem services is not well understood. Based on 1992, 1995, 2005, 2013, and 2018 remote sensing images, we used visual interpretation to obtain LULC data and used global value coefficients and modified local value coefficients to assess the spatial-temporal changes of ESV and LULC from 1992 to 2018. The results showed that: (1) From 1992 to 2018, shrubland and grassland decreased, while built-up land, snow, forestland, water body, and cropland area increased. (2) The ESV with an overall decrease of 0.25 × 108 yuan, ecological projects have played a positive role in improving ESV. In contrast, the main decrease factor of ESV was the increase in agricultural economic development and urban expansion from 1992 to 2018. (3) The ESV spatial distribution indicated the value density of ESV was on the decline, and with the greatest deterioration in Dianyagong. The highest density of ESV area is distributed in Waka, and the lowest density of ESV area is distributed in Bari. This research points out the important role of Derong County in the regional life support system and provides a scientific reference for the sustainable management of dry-hot valley regions’ land resources and ecosystem services.

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“…LULC changes directly affect ESV [52]. Optimizing land-use structure and protecting natural ecosystems will help increase the ESV.…”

Section: Effects Of Lulc Changes On Esvmentioning

confidence: 99%

Spatio-Temporal Changes of Land-Use/Land Cover Change and the Effects on Ecosystem Service Values in Derong County, China, from 1992–2018

2021

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“…Map algebra is a general set of capabilities and techniques that have been widely adopted for use with geographic information systems (GISs) (W. Chen et al, 2020; Tomlin, 1994; C. Wu et al, 2020). The dynamic information of changes in different types (including land‐use types and habitat types) can be acquired by map algebra in ArcGIS 10.6 (W. Chen et al, 2020).…”

Section: Methodsmentioning

confidence: 99%

Section: Map Algebramentioning

confidence: 99%

“…This study aims to explore the magnitude of impacts of cropland expansion on both the quantity and quality of natural habitat in China between 2000 and 2015 by comparing them with the impacts of urban expansion. Map algebra in ArcGIS 10.6 (W. Chen et al, 2020; C. WuChen, Huang, & Wei, 2020) was used to calculate the changes in the quantity of natural habitat due to cropland expansion, which was compared with the changes due to urban expansion. Furthermore, the Integrated Valuation of Ecosystem Services and Trade‐offs (InVEST) Habitat Quality model (Sharp et al, 2016) was applied to assess the changes in the quality of natural habitat caused by cropland expansion, which was also compared with the changes caused by urban expansion.…”

Section: Introductionmentioning

confidence: 99%

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Which impacts more seriously on natural habitat loss and degradation? Cropland expansion or urban expansion?

Tang

Chen

et al. 2020

Land Degrad Dev

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Natural habitat plays an important role in maintaining biodiversity. Both cropland expansion and urban expansion have an influence on natural habitat. However, it is not clear which one impacts more seriously on both the quantity and quality of natural habitat. This study compared the impacts of cropland expansion on the quantity and quality of natural habitat in China between 2000 and 2015 with the impacts of urban expansion. Map algebra in ArcGIS 10.6 was used to calculate the changes in the quantity of natural habitat, while the Integrated Valuation of Ecosystem Services and Trade‐offs (InVEST) Habitat Quality model was used to assess the changes in its quality. The results indicated that cropland expansion led to a loss of 35,811 km2 of natural habitat, which was twelve‐times as much as that from urban expansion. Furthermore, the area of the heaviest habitat degradation due to cropland expansion was 9,530 km2, which was eight‐times as much as that due to urban expansion. Noticeably, the greatest impacts of cropland expansion on natural habitat mostly occurred in areas where the ecological environment is already vulnerable (namely, the resistance and resilience of ecosystems in response to external interference are weak), whereas the impacts of urban expansion were much less in these areas. This study highlights that the impacts of cropland expansion on both the natural habitat loss and degradation far exceeded the impacts of urban expansion. It is necessary to improve cropland protection policies to guarantee food security while ensuring little or no harm to natural habitat.

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“…The terrain is covered by vast plain and water areas with patches of mountains and hilly lands. Due to rapid urbanization and industrialization, losses in croplands have continued, decreasing from 700.10 (10^4hm2) in 2000 to 633.06 (10^4hm2) in 2015 [36]. The per capita cultivated land is 0.85 mu, equivalent to two-thirds of the national average.…”

Section: Study Areamentioning

confidence: 99%

Spatio-temporal Evolution and Improvement Potential of Agricultural Eco-efficiency in Jiangsu Province

Li¹,

Hu²,

Jin³

2021

Preprint

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Achieving eco-efficiency in agriculture production at low environmental costs is key to sustainable agriculture. Using the DEA-SBM model, this study evaluated the agricultural eco-efficiency of the 77 counties and districts in China’s Jiangsu province from 1999 to 2018 and analyzed its spatio-temporal evolution pattern and influencing factors. The mains conclusions were as follows: (1) The overall agricultural eco-efficiency and its decomposition terms, pure technology efficiency and scale efficiency, exhibited a fluctuating downward trend. The regional inequality in agricultural eco-efficiency had been widening and exhibited a strong positive spatial association. (2) The agricultural eco-efficiency in Jiangsu province presented a “high south and low north” spatial pattern. High-level agricultural eco-efficiency areas were in the Taihu Plain in Sunan, while low-level agricultural eco-efficiency zones are distributed across Subei City. The High-High-type spatial association pattern is concentrated in the Suzhou-Wuxi-Changzhou region, while the Low-Low areas are mainly in the coastal regions of Subei and Suzhong. (3) The spatial pattern of PTE and SE generally exhibited a “high south and low north” distribution. Areas with positive growth in agricultural eco-efficiency, PTE, and SE, were situated in Xuzhou, Nanjing city, and the bordering regions between Yangzhou and Huai’an, and Changzhou and Wuxi. (4) The excessive redundant use and application of pesticides, chemical fertilizer, agricultural diesel, labor, land, and agricultural carbon emission have been the primary factor affecting Jiangsu's agricultural eco-efficiency. Irrigation had also signficantly impacted agricultural eco-efficiency, while mechanical power and agricultural film had minimal effect. The majority of counties and districts in Subei, Suzhong, and Ningzhen Yang Hilly region have issues regarding their excessive usage of chemical fertilizer, pesticide, chemical fertilizer, agricultural diesel, labor, and land. The findings of this study can contribute towards a better understanding of agricultural eco-efficiency and spatial association effect and can help policymakers increase agricultural eco-efficiency.

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Effect of land-use change and optimization on the ecosystem service values of Jiangsu province, China

Cited by 135 publications

References 80 publications

Spatio-Temporal Changes of Land-Use/Land Cover Change and the Effects on Ecosystem Service Values in Derong County, China, from 1992–2018

Spatio-Temporal Changes of Land-Use/Land Cover Change and the Effects on Ecosystem Service Values in Derong County, China, from 1992–2018

Which impacts more seriously on natural habitat loss and degradation? Cropland expansion or urban expansion?

Spatio-temporal Evolution and Improvement Potential of Agricultural Eco-efficiency in Jiangsu Province

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