Spatiotemporal change detection of carbon storage and sequestration in an arid ecosystem by integrating Google Earth Engine and InVEST (the Jiroft plain, Iran)

F Adelisardou,P Mederly,R Chow,W Zhao,T Minkina,J S Schou

doi:10.1007/s13762-021-03676-6

Abstract

Our study uses regional-scale maps to quantify carbon storage and sequestration from different land use types to evaluate the effects of future land use scenarios. We developed an integrated modeling approach to assess the spatiotemporal impacts of land use/cover change (LUCC) on the provision and value of the carbon storage and sequestration during the historical period (2000–2019) and predicted scenarios (2019–2046) in the Jiroft plain, Iran. We integrated several analytic tools for our analysis, which was comprised of Google Earth Engine (GEE), Cellular Automata Markov Chain (CA-MC) model, Intensity Analysis (IAA), and the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model. Our results demonstrate that: (1) agriculture and urban expansion led to a considerable decrease in carbon storage, mainly due to rapid deforestation from 2000–2019; (2) if the historical trend continues under the business as usual (BAU) scenario, it will lead to considerable social costs due to the loss of stored carbon in the plain (2,624,113 Mg) with an annual average sequestration loss of −475,547 Mg; (3) the downward carbon sequestration trend could potentially be reversed by employing the environmentally sound planning (ESP) scenario that is estimated to save 3,705,491 Mg in carbon storage, with annual average sequestration gain of + 605,830 Mg. The design scenarios provide a useful guide for policymakers and local governments to help understand the potential outcomes of the various development strategies, which will ultimately lead to more effective ecosystem management.

Highlights

Ecosystem services (ESs) refer to ecological processes' benefits and their effectiveness for human well-being (Yua et al 2019)
Our main object was to consider the spatiotemporal impacts of land use/cover change intensities on carbon storage and sequestration, as well as the associated cost of those changes
Such estimates in developing countries, such as Iran, have typically been associated with poor quality data concerns, weak technical knowledge to implement appropriate assessment methods, and centralization on a single timepoint. We overcame these limitations by integrating Google Earth Engine, Intensity Analysis, Cellular Automata Markov Chain, and the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model, which we applied to the Jiroft plain in southeastern Iran

Summary

Introduction

Ecosystem services (ESs) refer to ecological processes' benefits and their effectiveness for human well-being (Yua et al 2019). Land use/cover change (LUCC) has a significant impact on the supply and value of multiple ESs, especially climate regulating services, due to fundamental changes that occur in the structure and function of forests, agriculture, and other ecosystems over time (Fu et al 2017). Such spatiotemporal LUCCs lead to an increase in some services' provision and value while concurrently decreasing others (Yuan et al 2019), mainly in arid regions (Maestre et al 2016). These ecosystems often are regarded as unproductive, but they provide a variety of essential ESs to sustain well-being,

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Results

Conclusion