SPATIOTEMPORAL CHANGES IN VEGETATION COVER AND CARBON STORAGE PREDICTION BASED ON THE PLUSINVEST MODEL: A CASE STUDY OF HENAN PROVINCE, CHINA.

Bibliographic Details
Title: SPATIOTEMPORAL CHANGES IN VEGETATION COVER AND CARBON STORAGE PREDICTION BASED ON THE PLUSINVEST MODEL: A CASE STUDY OF HENAN PROVINCE, CHINA.
Authors: ZUO, Z., FAN, W., YANG, H. Q., TIAN, L., ZHAO, H., FAN, L. L., DONG, X. M., WANG, Q. R., LING, X. M., YANG, C. H.
Source: Applied Ecology & Environmental Research; 2024, Vol. 22 Issue 5, p4593-4615, 23p
Subject Terms: ECOSYSTEM management, CARBON offsetting, RESTORATION ecology, VEGETATION dynamics, VEGETATION patterns
Geographic Terms: HENAN Sheng (China)
Abstract: In this study, the spatiotemporal variation in carbon stocks under different vegetation coverages during the period 2001-2020 in Henan Province, China, was evaluated using the InVEST, PLUS, and geodetector models. The vegetation coverage patterns and corresponding carbon stocks were predicted under the three scenarios of natural trend, ecological degradation, and ecological restoration, the results show that: (1) Henan Province's vegetation area has been trending downward over the last 20 years, with losses in grassland, savanna, and farming vegetation. (2) The carbon stocks exhibited a low distribution pattern in the central and eastern parts of the country and a high distribution pattern in the northwest and southeast. The growth of total carbon stocks slowed. (3) The overall carbon stores exhibited a declining pattern throughout the three ecological scenarios. The carbon stocks experienced the least decline under the ecological restoration scenario. (4) Evapotranspiration, altitude, slope, distance from farmland and temperature were the main factors affecting the spatial differentiation of regional carbon stocks. Our results can aid in the sustainable management of ecosystems in Henan Province and provides a scientific basis and research concepts for the effective increase in carbon stocks. [ABSTRACT FROM AUTHOR]
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Database: Complementary Index
More Details
ISSN:15891623
DOI:10.15666/aeer/2205_45934615
Published in:Applied Ecology & Environmental Research
Language:English