Page 98 - JCAU-6-3
P. 98

Journal of Chinese
            Architecture and Urbanism                                      Influence of land-use change on carbon storage



            et al., 2022), especially the increasing expansion of urban   distribution pattern of carbon storage and exploring the
            boundaries, which has had a prominent impact on the   impacts of urban spatial development strategy, urban-rural
            regional ecological environment, such as the heat island   integration planning, and ecological green-belt construction
            effect and air pollution (Nolon  et al., 2013; Powers &   on carbon storage in the urban ecosystem. This study is
            Jetz, 2019). Land use and cover change (LUCC) affect the   expected to provide case references for socioeconomic
            processes of material circulation and energy exchange in   development, ecological civilization construction, territorial
            the hydrosphere, pedosphere, atmosphere, and biosphere   spatial planning, and land use and management of megacities,
            (Houet et al., 2010), and they determine the carbon storage   aiming to achieve carbon emissions peaking and carbon
            of terrestrial ecosystems (Foley et al., 2005; Liu et al., 2011;   neutrality (Wang & Shao, 2023).
            Samat et al., 2011; Zaehle et al., 2007).
              The influence mechanism of land use on carbon storage   2. Methods
            has been widely studied (Rajput et al., 2017). Most studies   2.1. Study area
            have been carried out on a large scale, such as provincial,   A substantial proportion of Chengdu is located in the
            river  basin,  and  mountainous  areas  and  have  shown   Chengdu Plain in the western part of the Sichuan Basin.
            spatial heterogeneity and complexity (Feng  et al., 2020;   The terrain slopes from northeast to southwest (Figure 1),
            Wu et al., 2016). However, there is little research focused   forming a unique geomorphological feature where plains,
            on economically developed municipal units (Yang et al.,   hills, and mountains each account for one-third of the area
            2024). As a matter of fact, studying the changes in carbon   (Peng et al., 2011). In May 2016, the county-level city of
            sinks in urban units and understanding the potential and   Jianyang was placed under  the jurisdiction of Chengdu,
            limitations of carbon sinks in different urban units can   expanding the administrative area of Chengdu from
            guide urban planners and managers to lay out urban land   12121.28 ha to 143397.749 ha. In 2017, Chengdu launched
            structures more scientifically. This is of great significance in   a new urban planning initiative, with Longquan Mountain
            finding effective ways to reduce greenhouse gas emissions   as the central axis, forming a spatial layout model of “One
            and mitigate climate warming.
                                                               Mountain with Two Wings.”
              In recent years, under the guidance of the strategy of
            ecological civilization and the goal of building a beautiful   2.2. Data source
            China, the country has actively pursued the policy objectives   In this study, land-use data for Chengdu in 2010, 2015, and
            of carbon peak and carbon neutrality. As a national central   2020 were selected as the basic data. The statistical data for
            city in the southwest region of China, Chengdu, along with   these 3 years were aligned with the three consecutive 5-year
            Chongqing, has jointly formed “The Fourth Peak,” leading   plans for national economic and social development,
            China’s economic growth. Concurrently, Chengdu has put   allowing us to illustrate the effects of these plans on land
            forward the strategy of building a “Park City,” constantly   use and urban development initiatives. Digital elevation
            coordinating ecological and economic development.   model data and LUCC remote sensing images with a
            Investigating changes in land use and regional carbon storage   resolution of 30 m, and administrative boundary data of
            is necessary to evaluate the efficacy and intended contribution   Chengdu were obtained from the Chinese Academy of
            of carbon neutrality (Qing  et al., 2022). However, studies   Sciences (CAS) (http://www.resdc.cn). According to the
            on  carbon  storage  changes  in  Chengdu  have  primarily   remote sensing supervision and classification standard
            focused on soil carbon density, vegetation, and carbon   of CAS, the overall terrain classification accuracy is over
            storage in single terrestrial ecosystems such as forests and   80%. Using the ArcGIS reclassification tool, 18 types of
            wetlands (Cunha et al., 2015; Liu et al., 2018; Ngo et al., 2015;   land use in Chengdu were reclassified into six primary
            Takahashi et al., 2015). Few studies have considered changes   land classes, including cultivated land, forest, grassland,
            in carbon sinks caused by land use. Many researchers have   wetland, construction land, and unused land (Ben & Yu,
            successfully applied the Integrated Valuation of Ecosystem   2022; Wang et al., 2019). Through multiple simulations and
            Services and Trade-offs (InVEST) model to analyze carbon   debugging after the unification of projection, coordinate
            storage in various environments, including mountainous   system, and resolution, the resolution was finally unified to
            areas (Shen et al., 2018; Xia et al., 2020), plateaus (Liu et al.,   30 m × 30 m using the resampling function.
            2021), and river basins (Yang et al., 2021), with finding that
            the implementation of ecological protection and ecological   2.3. Calculations and assessments
            engineering can effectively control the reduction of carbon
            storage (Deng et al., 2020; Wei et al., 2017; Zhang et al., 2022).   2.3.1. Calculation of carbon storage
            In this study, we analyze the land-use change in Chengdu   The InVEST model (Sharp et al., 2020; Wu et al., 2023) was
            from 2010 to 2020, revealing the spatial and temporal   introduced to calculate carbon storage. The carbon storage


            Volume 6 Issue 3 (2024)                         2                        https://doi.org/10.36922/jcau.3069
   93   94   95   96   97   98   99   100   101   102   103