Modeling predictive assessment of carbon storage using InVEST model in Uva province, Sri Lanka

Piyathilake, I. D. U. H.; Udayakumara, E. P. N.; Ranaweera, L. V.; Gunatilake, S. K.

doi:10.1007/s40808-021-01207-3

Cited by 59 publications

(20 citation statements)

References 42 publications

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“…The Carbon module of the InVEST model divides the carbon storage of ecosystems into four basic carbon pools [35,61]: above-ground biomass carbon (AGC: carbon in all surviving plants above the soil), below-ground biomass carbon (BGC: carbon present in living root system of plants), soil organic carbon (SOC: organic carbon distributed in organic and mineral soils), and dead organic matter carbon (DOC: carbon in dead plants and fallen matter) [62]. The carbon storage of the cell (i, j) can be calculated by its corresponding land-use carbon density [22].…”

Section: Invest Modelmentioning

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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Section: Invest Modelmentioning

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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“…water purification, habitat quality, carbon storage, and other ecosystem attributes [44][45][46]. It is a comprehensive assessment model that can quantify various ecosystem services.…”

Section: Plos Onementioning

confidence: 99%

Assessment and spatial partitioning of ecosystem services importance in Giant Panda National Park: To provide targeted ecological protection

Zhu

2022

PLoS ONE

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Giant Panda National Park is crucial for China’s ecological security strategic pattern known as "two screens and three belts." The importance assessment and classification of ecosystem services in giant panda national parks has an important guiding role in the protection of giant panda national park ecosystems. In this study, we examined four indicators of habitat quality: carbon storage, water conservation, and soil and water conservation. Combined with data analysis were used to evaluate and classify the importance of ecosystem services in the study area. The results showed that: (1) the overall habitat quality index in the study area was relatively high, and the index was generally greater than 0.5. The total carbon storage was 60.5 × 106 t, and the highest carbon storage in the region was 16.9533 t. The area with the highest water conservation reached 715.275 mm. The total soil conservation was 2555.7 × 107 t. (2) From the perspective of spatial characteristics, the habitat quality in the study area presented a spatial distribution pattern of high–low from west to east. The carbon storage presented a spatial distribution pattern of high–low from east to west. The soil conservation presented a spatial pattern of decreasing from west to east, and the water conservation increased from west to east. (3) We divided the research into four levels of importance: The area of general importance in the study site accounted for 1017.58 km2 and was distributed in the northwest of the study site. The moderately important areas were distributed in the east of the study site, with an area of 1142.40 km2. The highly important areas were distributed in the west of the study site, totaling 2647.84 km2. Extremely important areas were distributed in the middle, with an area of 1451.32 km2. (4) The grid cell scale of the study area was used as the dataset to determine the weighting. This makes the weighting more objective and ensures that the spatial distribution of areas with different degrees of importance will be more accurate.

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“…In addition, important wildlife areas within the district include Gal Oya National Park, Yala National Park, Udawalawa National Park, and Maduru Oya National Park. The considerable land area of the province covers mainly forest areas (31.4%), scrublands (22.12%), home gardens (14.78%), rice (20.9%), and Chena cultivation for short-term crops (10.72%) (Piyathilake et al, 2021).…”

Section: Ecological Environmentmentioning

confidence: 99%

Geochemistry of Groundwater in the Uva Province, Sri Lanka—Implications for Chronic Kidney Disease of Uncertain Origin

et al. 2021

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The prevalence of chronic kidney disease of uncertain etiology (CKDu) in the Uva Province (UP) of Sri Lanka has received much attention over the past two decades. Many scientists assumed that prolonged consumption of drinking water with high levels of contaminants may be the causative factor. Thus, the prime objective of this study is to develop a binary logistic regression model based on water quality parameters and the prevalence of CKDu to find out the geochemical risk factors that affect the CKDu. For this, 260 groundwater samples were collected following a stratified random sampling method and analyzed for its major cations, anions, and selected trace element contents. In the model, the dichotomous dependent variable defines the availability of CKDu patients, and explanatory variables define groundwater quality parameters. According to the best-fit model, F− and PO43- levels of the groundwater were found to be the geochemical risk factors that were significantly associated with the progression of CKDu in the study area. Furthermore, it was shown that geochemical processes such as dissolution of bedrocks are the causative phenomenon of the enhancement of F− levels in the groundwater sources. It has also been observed that the PO43- concentrations of the groundwater possibly increase because of the intensive application of agrochemicals in addition to geogenic sources. The results of this study can be used by the government authorities in groundwater management and the management of the prevalence of CKDu disease in the study area. Furthermore, the findings of this study will contribute to the policy-makers in Sri Lanka for providing safe drinking water to meet the sustainable development goals (SDGs).

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Modeling predictive assessment of carbon storage using InVEST model in Uva province, Sri Lanka

Cited by 59 publications

References 42 publications

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

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

Assessment and spatial partitioning of ecosystem services importance in Giant Panda National Park: To provide targeted ecological protection

Geochemistry of Groundwater in the Uva Province, Sri Lanka—Implications for Chronic Kidney Disease of Uncertain Origin

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