Combining MaxEnt model and landscape pattern theory for analyzing interdecadal variation of sugarcane climate suitability in Guangxi, China

被引:42
作者
Guga, Suri [1 ,2 ,3 ]
Xu, Jie [1 ,2 ,3 ]
Riao, Dao [1 ,2 ,3 ]
Li, Kaiwei [1 ,2 ,3 ]
Han, Aru [1 ,2 ,3 ]
Zhang, Jiquan [1 ,2 ,3 ]
机构
[1] Northeast Normal Univ, Sch Environm, Changchun 130024, Peoples R China
[2] Minist Educ, Key Lab Vegetat Ecol, Changchun 130024, Peoples R China
[3] State Environm Protect Key Lab Wetland Ecol & Veg, Changchun 130024, Peoples R China
基金
中国国家自然科学基金;
关键词
Climate change; MaxEnt model; Climate suitability; Landscape pattern; Sugarcane; SPECIES DISTRIBUTIONS; IMPACTS; REQUIREMENTS; PRODUCTIVITY; PREDICTION; EXPANSION; YIELDS; MAIZE; ART;
D O I
10.1016/j.ecolind.2021.108152
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Guangxi is the primary producer of sugarcane in China and provides a highly suitable habitat for sugarcane growth. However, its distribution range has changed significantly in recent years due to climate change as well as human factors. Without extensive knowledge of the changing trends in suitable sugarcane planting areas, efforts to improve its productivity in Guangxi may be insufficient. In this study, the interdecadal change in sugarcane distribution in Guangxi in response to climate change from 1960 to 2019 was estimated using the MaxEnt model and the landscape pattern of land use in the suitable sugarcane area was analyzed. In addition, we discuss the effects of global warming on sugarcane production in the sustainable development of the sugar industry in Guangxi. Our results indicate: (1) from 1960 to 2019, approximately 65% of Guangxi Province could grow sugarcane. Chongzuo City, Nanning City and Parts of Baise City, are highly suitable areas, and unsuitable areas are mainly concentrated in the north. In general, sugarcane climate suitability extended further in low-altitude areas, and then extended to high-altitude areas. However, from the 2000s to the 2010s, climate suitability showed a decreasing trend, decreasing from 16.036 x 10(6) ha to 15.4985 x 10(6) ha (2) The order of land use area in the suitable sugarcane climate range was as follows: woodland > cropland > grassland > construction land > water. With the increase in climate suitability, the distribution of cultivated land expanded. From 1980 to 2005, cropland in suitable areas showed a fragmentation trend. By 2010, the cropland patches disappeared after fragmentation. (3) Due to landscape constraints, infertile soil, and labor costs, the sugar industry faces various challenges. The evaluation of climate suitability could provide a theoretical reference for a planting layout of sugarcane, and landscape pattern analysis of suitable sugarcane climate areas is conducive to the integration of small pieces of land into large ones, making mechanization possible. Overall, strict layout and management measures are required in sugarcane planting areas.
引用
收藏
页数:13
相关论文
共 70 条
[1]   The potential for expansion of irrigated rice under alternate wetting and drying in Burkina Faso [J].
Akpoti, Komlavi ;
Dossou-Yovo, Elliott R. ;
Zwart, Sander J. ;
Kiepe, Paul .
AGRICULTURAL WATER MANAGEMENT, 2021, 247
[2]   Mapping suitability for rice production in inland valley landscapes in Benin and Togo using environmental niche modeling [J].
Akpoti, Komlavi ;
Kabo-bah, Amos T. ;
Dossou-Yovo, Elliott R. ;
Groen, Thomas A. ;
Zwart, Sander J. .
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 709
[3]   Agricultural land suitability analysis: State-of-the-art and outlooks for integration of climate change analysis [J].
Akpoti, Komlavi ;
Kabo-bah, Amos T. ;
Zwart, Sander J. .
AGRICULTURAL SYSTEMS, 2019, 173 :172-208
[4]  
[Anonymous], 2018, OECD FAO AGR OUTL 20
[5]   Evaluation of statistical models used for predicting plant species distributions: Role of artificial data and theory [J].
Austin, M. P. ;
Belbin, L. ;
Meyers, J. A. ;
Doherty, M. D. ;
Luoto, M. .
ECOLOGICAL MODELLING, 2006, 199 (02) :197-216
[6]   GROSS ENERGY YIELDS AND SUPPORT ENERGY-REQUIREMENTS FOR PRODUCTION OF SUGAR FROM BEET AND CANE - STUDY OF 4 PRODUCTION AREAS [J].
AUSTIN, RB ;
KINGSTON, G ;
LONGDEN, PC ;
DONOVAN, PA .
JOURNAL OF AGRICULTURAL SCIENCE, 1978, 91 (DEC) :667-675
[7]  
Birthal P. S., 2014, Agricultural Economics Research Review, V27, P145, DOI 10.5958/0974-0279.2014.00019.6
[8]   kuenm: an R package for detailed development of ecological niche models using Maxent [J].
Cobos, Marlon E. ;
Peterson, A. Townsend ;
Barve, Narayani ;
Osorio-Olvera, Luis .
PEERJ, 2019, 7
[9]   Uncertainties in historical changes and future projections of drought. Part I: estimates of historical drought changes [J].
Dai, Aiguo ;
Zhao, Tianbao .
CLIMATIC CHANGE, 2017, 144 (03) :519-533
[10]   Dynamics of decadal changes in the distribution of double-cropping rice cultivation in China [J].
Duan JuQi ;
Zhou GuangSheng .
CHINESE SCIENCE BULLETIN, 2013, 58 (16) :1955-1963