Identifying effects of land use cover changes and climate change on terrestrial ecosystems and carbon stocks in Mexico

Mendoza‐Ponce, Alma; Corona-Núñez, Rogelio O.; Kraxner, Florian; Leduc, Sylvain; Patrizio, Piera

doi:10.1016/j.gloenvcha.2018.08.004

Cited by 128 publications

(81 citation statements)

References 98 publications

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“…The methods used mainly include process-based terrestrial ecosystem models such as IBIS (Integrated BIosphere Simulator) [10], remote sensing [12], mathematical methods [13], index systems [14], and machine learning approaches [15], etc. The research scale mainly involves the global scale [1], national scale [16], regional scale [17], and city scale [18].…”

Section: Introductionmentioning

confidence: 99%

“…As for the influencing factors of the terrestrial ecosystem pattern, they are mainly analyzed from the aspects of climate change [19], urban expansion [20], CO 2 concentration [21], biodiversity [22], land use change [23] and land cover change [16], transfer of animals and plants [24], vegetation vulnerability [12], and so on. Based on these studies, several conclusions have been drawn.…”

Section: Introductionmentioning

confidence: 99%

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Impacts of Precipitation and Temperature on Changes in the Terrestrial Ecosystem Pattern in the Yangtze River Economic Belt, China

Xiang

Zhang

Song

et al. 2019

IJERPH

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The terrestrial ecosystem plays an important role in maintaining an ecological balance, protecting the ecological environment, and promoting the sustainable development of human beings. The impacts of precipitation, temperature, and other natural factors on terrestrial ecosystem pattern change (TEPC) are the basis for promoting the healthy development of the terrestrial ecosystem. This paper took the Yangtze River Economic Belt (YREB) as the study area, analyzed the temporal and spatial characteristics of TEPC from 1995 to 2015, and used spatial transfer matrix and terrestrial ecosystem pattern dynamic degree models to analyze the area transformation between different terrestrial ecosystem types. A bivariate spatial autocorrelation model and a panel data regression model were used to study the impacts of precipitation and temperature on TEPC. The results show that: (1) The basic pattern of the terrestrial ecosystem developed in a relatively stable manner from 1995 to 2005 in the YREB, and transformations between the farmland ecosystem, forest ecosystem, and grassland ecosystem were more frequent. The temporal and spatial evolution of precipitation and temperature in the YREB showed significant regional differences. (2) There was a significant negative bivariate global spatial autocorrelation effect of precipitation and temperature on the area change of the forest ecosystem, and a positive effect on the area change of the settlement ecosystem. The local spatial correlation between precipitation or temperature and the terrestrial ecosystem showed significant scattered distribution characteristics. (3) The impacts of precipitation and temperature on TEPC showed significant regional characteristics on the provincial scale. The impact utility in the tail region is basically negative, while both positive and negative effects exist in the central and head regions of the YREB. Moreover, the impact showed significant spatial heterogeneity on the city scale. (4) The Chinese government has promulgated policies and measures for strategic planning, ecological environment protection, and economic support, which could effectively promote ecological and sustainable development of the YREB and promote the coordinated development of the ecology, economy, and society in China.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impacts of Precipitation and Temperature on Changes in the Terrestrial Ecosystem Pattern in the Yangtze River Economic Belt, China

Xiang

Zhang

Song

et al. 2019

IJERPH

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“…Mexico, with a land area of 1.96 million km 2 , covers climatic gradients, from humid to dry climate zones, and has experienced diverse and intensive land-use change for animal production, mainly in the tropical regions of the country [23], which are responsible for 50% of national livestock production [24]. Today, beef production in the tropics of Mexico is undergoing major changes with the introduction of management practices for long-term sustainable intensification (intensive silvopastoral systems) through more efficient use of water, materials, and energy [25,26].…”

Section: Introductionmentioning

confidence: 99%

Effects of Land Use Change from Natural Forest to Livestock on Soil C, N and P Dynamics along a Rainfall Gradient in Mexico

et al. 2020

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The effects of converting native forests to livestock systems on soil C, N and P contents across various climatic zones are not well understood for the tropical region. The goal of this study was to test how soil C, N and P dynamics are affected by the land-use change from natural forests to livestock production systems (extensive pasture and intensive silvopastoral systems) across a rainfall gradient of 1611–711 mm per year in the Mexican tropics. A total of 15 soil-based biogeochemical metrics were measured in samples collected during the dry and rainy seasons in livestock systems and mature forests for land-use and intersite comparisons of the nutrient status. Our results show that land-use change from natural forests to livestock production systems had a negative effect on soil C, N and P contents. In general, soil basal respiration and C-acquiring enzyme activities increased under livestock production systems. Additionally, reduction in mean annual rainfall affected moisture-sensitive biogeochemical processes affecting the C, N and P dynamics. Our findings imply that land-use changes alter soil C, N and P dynamics and contents, with potential negative consequences for the sustainability of livestock production systems in the tropical regions of Mexico investigated.

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“…In combination with dynamic and easily updated remotely-sensed VIs, terrain variables have also been used in many studies predicting AGB as supplemental information aimed at increasing predictive power and statistical discrimination [38]. Since topography controls the main landscape processes related to structural characteristics of vegetation, such as water distribution and potential solar radiation [39], the digital elevation model (DEM) and the derivation of DEM-based predictor variables partially explain spatial patterns in AGB [40].…”

Section: Introductionmentioning

confidence: 99%

Improving Aboveground Forest Biomass Maps: From High-Resolution to National Scale

Durante

Martín-Alcón²,

Gil‐Tena³

et al. 2019

Remote Sensing

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Forest aboveground biomass (AGB) estimation over large extents and high temporal resolution is crucial in managing Mediterranean forest ecosystems, which have been predicted to be very sensitive to climate change effects. Although many modeling procedures have been tested to assess forest AGB, most of them cover small areas and attain high accuracy in evaluations that are difficult to update and extrapolate without large uncertainties. In this study, focusing on the Region of Murcia in Spain (11,313 km2), we integrated forest AGB estimations, obtained from high-precision airborne laser scanning (ALS) data calibrated with plot-level ground-based measures and bio-geophysical spectral variables (eight different indices derived from MODIS computed at different temporal resolutions), as well as topographic factors as predictors. We used a quantile regression forest (QRF) to spatially predict biomass and the associated uncertainty. The fitted model produced a satisfactory performance (R2 0.71 and RMSE 9.99 t·ha−1) with the normalized difference vegetation index (NDVI) as the main vegetation index, in combination with topographic variables as environmental drivers. An independent validation carried out over the final predicted biomass map showed a satisfactory statistically-robust model (R2 0.70 and RMSE 10.25 t·ha−1), confirming its applicability at coarser resolutions.

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Identifying effects of land use cover changes and climate change on terrestrial ecosystems and carbon stocks in Mexico

Cited by 128 publications

References 98 publications

Impacts of Precipitation and Temperature on Changes in the Terrestrial Ecosystem Pattern in the Yangtze River Economic Belt, China

Impacts of Precipitation and Temperature on Changes in the Terrestrial Ecosystem Pattern in the Yangtze River Economic Belt, China

Effects of Land Use Change from Natural Forest to Livestock on Soil C, N and P Dynamics along a Rainfall Gradient in Mexico

Improving Aboveground Forest Biomass Maps: From High-Resolution to National Scale

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