Land-use changes lead to a decrease in carbon storage in arid region, China

Zhu, Guofeng; Qiu, Dongdong; Zhang, Zhuanxia; Sang, Liyuan; Liu, Yuwei; Lei, W.; Zhao, Kan; Ma, Hao; Xu, Yan; Wan, Qiaozhuo

doi:10.1016/j.ecolind.2021.107770

Cited by 117 publications

(69 citation statements)

References 13 publications

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“…Some studies have shown that combining CS simulation model with land use prediction model can effectively simulate potential changes in CS caused by future urban expansion ( Liang, Hashimoto & Liu, 2021 ; Zhu et al, 2021 ). Here, we analyzed the spatial changes in CS during 2000–2015 and explored the intrinsic driving principles responsible for these variations.…”

Section: Discussionmentioning

confidence: 99%

“…Over the past decades, rapid urbanization has altered the natural cover on land surfaces by converting extensive areas of natural and seminatural lands into urban lands ( Jiang, Deng & Seto, 2013 ; Song, Pijanowski & Tayyebi, 2015 ; Su, Guo & Hong, 2019 ). Such conversion eventually causes a significant reduction in CS ( Dai et al, 2021 ; Grimm et al, 2008 ; Li et al, 2020a ; Wang et al, 2018b ; Zhang et al, 2012 ; Zhu et al, 2021 ) and leads to severe environmental consequences and ecosystem degradation at multiple scales ( Cao et al, 2015 ; De Carvalho & Szlafsztein, 2019 ; Tang et al, 2021 ). Moreover, the urbanization rate in China is predicted to reach 65.73% by 2030, which will place huge pressure on the urban ecosystem.…”

Section: Introductionmentioning

confidence: 99%

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Exploring the spatiotemporal changes in carbon storage under different development scenarios in Jiangsu Province, China

Zhang

Wang

ChunLei

et al. 2022

PeerJ

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Carbon storage (CS) is closely linked to the global challenge of climate change. Land use/cover (LULC) change is the main factor driving changes in CS, and evaluating the impact of LULC changes on CS is important for carbon balance. Taking Jiangsu Province as an example, we used the Integrated Valuation of Ecosystem Services and Trade-offs model to analyze the spatiotemporal changes in CS during 2000–2015. Then we coupled it with the patch-generating land use simulation model to simulate and predict LULC and CS in 2050 under four different development plans. The results showed that LULC change in Jiangsu Province was manifested mainly as transformation of cropland to construction land (3,485 km2) and cropland to water body (470 km2). The high value area for CS was concentrated mainly in forest land, water body and grassland, whereas the low value area was concentrated mainly in construction land. During 2000–2015, CS decreased by 0.23 Tg, and during 2015–2050, CS was predicted to decrease by 0.16, 1.69, 0.02, and 0.10 Tg under the baseline, fast, slow and harmonious development scenarios. The conversion of a large amount of cropland to construction land was the main cause of CS loss. In all scenarios, the carbon loss was the largest in southern Jiangsu and lowest in central Jiangsu. It is necessary to balance the conflict between economic development and ecological protection during the process of urbanization. This study can provide an important reference for decision makers during the formulation of regional development models and ecological management strategies.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exploring the spatiotemporal changes in carbon storage under different development scenarios in Jiangsu Province, China

Zhang

Wang

ChunLei

et al. 2022

PeerJ

View full text Add to dashboard Cite

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“…The CS module in the InVEST model requires LULC data and carbon pool data (aboveground biological carbon density, belowground biological carbon density, dead organic matter carbon density, and soil carbon density). The carbon density table for Bogda was obtained by referring to the existing literature [ 33 , 34 , 35 ]. The LULC data of Bogda for 1990, 2000, 2010, and 2018 and the carbon density tables were input into the carbon storage module in the InVEST model to obtain the CS map of Bogda.…”

Section: Methodsmentioning

confidence: 99%

Identification of Priority Conservation Areas for Natural Heritage Sites Integrating Landscape Ecological Risks and Ecosystem Services: A Case Study in the Bogda, China

Chen

Zheng

et al. 2022

IJERPH

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The conservation of World Natural Heritage Sites has become a global concern. The identification of priority conservation areas can preserve the value of heritage sites while promoting sustainable development, which is important for balancing the conservation and development of heritage sites. This paper proposes an integrated framework for the identification of priority conservation areas for natural heritage sites based on landscape ecological risks (LERs) and ecosystem services (ESs), taking the Bogda heritage site in Xinjiang, China as a case study. The innovative approach combined the natural and cultural elements of natural heritage sites and included the following steps: (1) the LER index, Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model and questionnaire method were adopted to assess the LERs and ESs of Bogda heritage sites during 1990–2018; (2) ordered weighted averaging (OWA) was used to identify conservation priorities by weighing LERs and ESs; and (3) the optimal priority conservation area was determined by comparing the conservation efficiencies under different scenarios. The results revealed that the LER, carbon storage (CS), habitat quality (HQ), aesthetic value (AV), and recreational value (RV) showed significant spatiotemporal variation. The most suitable priority conservation area was located at the central forestlands and high-coverage grasslands, with conservation efficiencies of 1.16, 2.91, 1.96, 1.03, and 1.21 for LER, CS, HQ, AV, and RV, respectively. Our study demonstrated that integrating LERs and ESs is a comprehensive and effective approach to identifying conservation priorities for heritage sites. The results can provide decision support for the conservation of the Bogda heritage site and a methodological reference for identifying conservation priorities for natural heritage sites. Furthermore, this study is also an effective application of LERs and ESs in identifying priority conservation areas.

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“…The land use/cover change (LUCC) is an essential feature reflecting environmental changes [17] and a prime influencing factor of terrestrial ecosystem carbon storage [18,19]. Therefore, it is of great significance to quantify the effects of land-use change on ecosystem CS under climate change over the past and in the future [20]. Leh et al [21] used the InVEST (Integrated Valuation of Ecosystem Services and Trade-offs) model to quantify the land-use change effects on CS in west Africa.…”

Section: Introductionmentioning

confidence: 99%

Impacts of Land-Use Change on the Spatio-Temporal Patterns of Terrestrial Ecosystem Carbon Storage in the Gansu Province, Northwest China

et al. 2022

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Land-use change is supposed to exert significant effects on the spatio-temporal patterns of ecosystem carbon storage in arid regions, while the relative size of land-use change effect under future environmental change conditions is still less quantified. In this study, we combined a land-use change dataset with a satellite-based high-resolution biomass and soil organic carbon dataset to determine the role of land-use change in affecting ecosystem carbon storage from 1980 to 2050 in the Gansu province of China, using the MCE-CA-Markov and InVEST models. In addition, to quantify the relative size of the land-use change effect in comparison with other environmental drivers, we also considered the effects of climate change, CO2 enrichment, and cropland and forest managements in the models. The results show that the ecosystem carbon storage in the Gansu province increased by 208.9 ± 99.85 Tg C from 1980 to 2020, 12.87% of which was caused by land-use change, and the rest was caused by climate change, CO2 enrichment, and ecosystem managements. The land-use change-induced carbon sequestration was mainly associated with the land-use category conversion from farmland to grassland as well as from saline land and desert to farmland, driven by the grain-for-green projects in the Loess Plateau and oasis cultivation in the Hexi Corridor. Furthermore, it was projected that ecosystem carbon storage in the Gansu province from 2020 to 2050 will change from −14.69 ± 12.28 Tg C to 57.83 ± 53.42 Tg C (from 105.62 ± 51.83 Tg C to 177.03 ± 94.1 Tg C) for the natural development (ecological protection) scenario. By contrast, the land-use change was supposed to individually increase the carbon storage by 56.46 ± 9.82 (165.84 ± 40.06 Tg C) under the natural development (ecological protection) scenario, respectively. Our results highlight the importance of ecological protection and restoration in enhancing ecosystem carbon storage for arid regions, especially under future climate change conditions.

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Land-use changes lead to a decrease in carbon storage in arid region, China

Cited by 117 publications

References 13 publications

Exploring the spatiotemporal changes in carbon storage under different development scenarios in Jiangsu Province, China

Exploring the spatiotemporal changes in carbon storage under different development scenarios in Jiangsu Province, China

Identification of Priority Conservation Areas for Natural Heritage Sites Integrating Landscape Ecological Risks and Ecosystem Services: A Case Study in the Bogda, China

Impacts of Land-Use Change on the Spatio-Temporal Patterns of Terrestrial Ecosystem Carbon Storage in the Gansu Province, Northwest China

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