Land-Use Spatio-Temporal Change and Its Driving Factors in an Artificial Forest Area in Southwest China

Understanding the driving factors of land-use spatio-temporal change is important for the guidance of rational land-use management. Based on land-use data, household surveys and social economic data in 2000, 2005, 2010, and 2015, this study adopted the Binary Logistic Regression Model (BLRM) to analyze the driving factors of land-use spatio-temporal change in a large artificial forest area in the Ximeng County, Yunnan province, in Southwest China. Seventeen factors were used to reflect the socio-economic and natural environment conditions in the study area. The results show a land use pattern composed of forestland, dry cropland, and rubber plantation in Ximeng County. Over the past fifteen years, the area of artificial forests increased rapidly due to the “Grain for Green” policy, which has led to increases in rubber plantations, tea gardens, eucalyptus forests, etc. In contrast, the area of natural forest and dry cropland decreased due to reclamations for farming and constructions. The BLRM approach helped to identify the main driving factors of land-use spatio-temporal change, which includes land-use policies (protection of basic farmlands and natural reserves), topography (elevation and slope), accessibility (distance to the human settlements), and potential productivity (fertility and irrigation). The study revealed the relationship between land-use spatio-temporal change and its driving factors in mountainous Southwest China, providing a decision-making basis for rational land-use management and optimal allocation of land resources.

Download Full-text

Spatio-temporal change of ecosystem service value in Bosten Lake Watershed based on land use

Acta Ecologica Sinica ◽

10.5846/stxb202008262212 ◽

2021 ◽

Vol 41 (13) ◽

Author(s):

张发，玉素甫江·如素力，艾尔肯·图尔逊 ZHANG Fa

Keyword(s):

Land Use ◽

Ecosystem Service ◽

Temporal Change ◽

Ecosystem Service Value ◽

Bosten Lake ◽

Service Value ◽

Spatio Temporal

Download Full-text

Spatio-temporal dynamics of fractional vegetation coverage based on MODIS-EVI and its driving factors in Southwest China

Acta Ecologica Sinica ◽

10.5846/stxb201907101451 ◽

2021 ◽

Vol 41 (3) ◽

Author(s):

李美丽，尹礼昌，张园，苏旭坤，刘国华，王晓峰，奥勇，伍星 LI Meili

Keyword(s):

Southwest China ◽

Temporal Dynamics ◽

Driving Factors ◽

Vegetation Coverage ◽

Modis Evi ◽

Spatio Temporal

Download Full-text

A Spatio-Temporal Bayesian Model for Estimating the Effects of Land Use Change on Urban Heat Island

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi8120522 ◽

2019 ◽

Vol 8 (12) ◽

pp. 522 ◽

Cited By ~ 1

Author(s):

Xin Liu ◽

Zuolin Xiao ◽

Rui Liu

Keyword(s):

Land Use ◽

Urban Heat Island ◽

Southwest China ◽

Regional Scale ◽

Heat Island ◽

Bayesian Hierarchical ◽

Temporal Autocorrelation ◽

Urban Heat ◽

Spatio Temporal ◽

The Difference

The urban heat island (UHI) phenomenon has been identified and studied for over two centuries. As one of the most important factors, land use, in terms of both composition and configuration, strongly influences the UHI. As a result of the availability of detailed data, the modeling of the residual spatio-temporal autocorrelation of UHI, which remains after the land use effects have been removed, becomes possible. In this study, this key statistical problem is tackled by a spatio-temporal Bayesian hierarchical model (BHM). As one of the hottest areas in China, southwest China is chosen as our study area. Results from this study show that the difference of UHI levels between different cities in southwest China becomes large from 2000 to 2015. The variation of the UHI level is dominantly driven by temporal autocorrelation, rather than spatial autocorrelation. Compared with the composition of land use, the configuration has relatively minor influence upon UHI, due to the terrain in the study area. Furthermore, among all land use types, the water body is the most important UHI mitigation factor at the regional scale.

Download Full-text

Recent global changes have decoupled species richness from specialization patterns in North American birds

10.1101/577841 ◽

2019 ◽

Author(s):

Anne Mimet ◽

Robert Buitenwerf ◽

Brody Sandel ◽

Jens-Christian Svenning ◽

Signe Normand

Keyword(s):

Land Use ◽

Species Richness ◽

North American ◽

Temporal Change ◽

Temporal Changes ◽

Global Changes ◽

Spatio Temporal ◽

The Relationship ◽

Unimodal Pattern ◽

Over Time

AbstractAimTheory suggests that increasing productivity and climate stability toward the tropics can explain the latitudinal richness gradient by favouring specialization. A positive relationship between species richness and specialization should thus emerge as a fundamental biogeographic pattern. However, land use and climate change disproportionally increase the local extirpation risk for specialists, potentially impacting this pattern. Here, we empirically quantify the richness-specialization prediction and test how 50 years of climate and land use change has affected the richness-specialization relationship.LocationUSATime period1966-2015Major taxa studiedBirdsMethodsWe used the North American breeding bird survey to quantify bird community richness and specialization to habitat and climate. We assess i) temporal change in the slope of the richness-specialization relationship, using a Generalized Mixed Model; ii) temporal change in spatial covariation of richness and specialization as driven by local environmental conditions, using Generalized Additive Models; and iii) land use, climate and topographic drivers of the spatio-temporal changes in the relationship, using a multivariate method.ResultsWe found evidence for a positive richness-specialization relationship in bird communities. However, the slope of the relationship declined strongly over time. Richness spatially covaried with specialization following a unimodal pattern. The peak of the unimodal pattern shifted toward less specialized communities over time. These temporal changes were associated with precipitation change, decreasing temperature stability and land use.Main conclusionsRecent climate and land use changes induced two antagonist types of community responses. In human-dominated areas, the decoupling of richness and specialization drove a general biotic homogenization trend. In human-preserved areas under increasing climate harshness, specialization increased while richness decreased in a “specialization” trend. Our results offer new support for specialization as a key driver of macroecological diversity patterns, and show that global changes are erasing this fundamental macroecological pattern.BiosketchAnne Mimet is a postdoctoral researcher interested in the understanding of human impacts on biodiversity through land use and climate changes, at various spatio-temporal scales. She is interested in embracing the complexity of socio-ecological systems, and in the understanding of biodiversity trends in a human-dominated world in the context of the general theories of ecology.

Download Full-text