High-resolution mapping of protected agriculture in Mexico, through remote sensing data cloud geoprocessing

Perilla, Gabriel; Mas, Jean-François

doi:10.1080/22797254.2019.1686430

Cited by 22 publications

(10 citation statements)

References 31 publications

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“…For example, while crop diversity generally enhances pollinator activity [53,59,60], it is unclear how different forms of protected agriculture (e.g., greenhouses) potentially impede pollinator activity. Mexico is a world leader in protected agriculture; much of it is found in the northern irrigated regions with high production diversity identified in this study [61]. More generally, it remains unclear how crop functional diversity is impacted by the combined or interaction effects of agricultural inputs and, ultimately, how these effects impact ecosystems [3,17].…”

Section: Limitations and Future Researchmentioning

confidence: 87%

Spatial and Temporal Changes in Crop Species Production Diversity in Mexico (1980–2020)

LaFevor

2022

Agriculture

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Crop species diversity is a key component of agroecosystem resilience, food system stability, ecosystem services production, and sustainable development. Despite its importance, quantitative understanding of crop species diversity is often lacking. This study assesses changes in crop species production diversity in Mexico from 1980 to 2020 at state, regional, and national levels. Measures of crop species richness and effective diversity (alpha, beta, gamma) were derived from government production data on 304 species, each stratified into rainfed and irrigated components. Time series of these components reveal three main findings: (1) diversity generally increased during the study period, especially among fruits, vegetables, spices and herbs, and ornamental crops; (2) the diversity of irrigated crops was about two times higher than the diversity of rainfed crops, despite comprising a small fraction of the total cultivated area; and (3) the diversity of irrigated crops increased dramatically after implementation of the North American Free Trade Agreement (NAFTA) in 1994—though most increases occurred in dry northern regions where production depended on unsustainable irrigation. In sum, findings show that while crop diversity can contribute to numerous forms of sustainability, not all diversification processes derive from agroecologically-based, sustainable forms of intensification. In Mexico, crop species diversification was associated with a post-1994 boom in produce exports to the United States and the unsustainable use of scarce water resources at home. Such context-specific understanding is crucial for determining whether crop diversification, in all its forms, ultimately leads to sustainable outcomes.

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Section: Limitations and Future Researchmentioning

confidence: 87%

Spatial and Temporal Changes in Crop Species Production Diversity in Mexico (1980–2020)

LaFevor

2022

Agriculture

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“…We will assume that all detected greenhouses represent PA for berry production. Also, government statistics on PA are only available from 2015 onwards and largely underreport PA compared to this study and another Mexican PA study (Perilla and Mas 2019). See the supplementary information for a side-by-side comparison.…”

Section: Study Site: the Heart Of The Berry Boommentioning

confidence: 88%

Mapping the expansion of berry greenhouses onto Michoacán’s ejido lands, México

Hartman

Farfán²,

Hoogesteger

et al. 2022

Environ. Res. Lett.

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Agricultural transformations have significantly contributed to the global market’s year-round supply of capital-intensive greenhouse-grown crops. For instance, berry production in Mexico is increasingly relying on greenhouse systems to meet the growing demand of international markets, particularly in the USA. It is still unclear to what extent these transformations are related to land tenure, as data on greenhouse distribution often do not exist, are incomplete, or lack spatial resolution. This paper presents a support vector machine learning algorithm tool to map greenhouse expansion using satellite images. The tool is applied to the major berry-growing region of Michoacán, Mexico. Here agricultural areas are transforming to satisfy foreign demand for berries, altering local land and water resource use patterns. We use this tool and a unique land tenure dataset to investigate (1) the spatially explicit extent to which high-input commercial agriculture (mainly the production of berries) has expanded in this region since the late 1990s; and (2) the extent to which smallholder (ejidal) land has been incorporated into the highly capitalized agro-export sector. We combine a national dataset on ejidal land (which includes both communal and parcel land) with geospatial agricultural data to quantify the land-use changes in the berry-growing region of Michoacán between 1989 and 2021. We find that the development of the greenhouse berry boom can be quantified and shown with spatially-explicit detail, growing from zero to over 9,500 hectares over the period, using almost one-quarter of all regional agricultural land in 2020. We further find that the capital-intensive market-oriented berry industry has been widely integrated into smallholder ejidal lands, so much so that over half of greenhouses are found there.

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“…• Image 20200519 (the year 2020, month 05, day 19) Sentinel 1C without atmospheric correction. Product start time: 2020-05-19T16:19:11.024Z and product stop time: 2020-05-19T16:19:11.024Z.…”

Section: B Satellite Datamentioning

confidence: 99%

“…Some advantages of Sentinel images are related to its 13 bands and 10 m pixel resolution that allows for making better visible vegetation analysis. Sentinel 2 use is increasing in different areas, some examples: are crops [17], mangroves in Colombia [18], precision agriculture [19], and biomass measure [20].…”

Section: Introductionmentioning

confidence: 99%

Land-use changes by Old Colonies Mennonites in Mexico with Sentinel 2 and Trends Earth

Janer

Jiménez

2022

EJFOOD

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The purpose of this article is to demonstrate land-use changes from forest to agriculture in Ejido Salamanca in the southern state of Quintana Roo in Mexico. This transformation from forest to agriculture was caused by Mennonites -an ethnic group originally from Chortitza today southern Ukraine-, that arrived in Mexico in 1922 from Canada. This land-use demonstration is based on satellite images Sentinel 2 of the Copernicus Program and a plugin called Trends Earth. As a result, we have shown a land-use change from forest to crops could have a stable result and organic carbon soil loss. Even though, these negative changes, have gained great productivity results (ha/ton production) in corn, soy, red bean, and sorghum and contribute to agriculture productivity in Quintana Roo and the zero-hunger goal.

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High-resolution mapping of protected agriculture in Mexico, through remote sensing data cloud geoprocessing

Cited by 22 publications

References 31 publications

Spatial and Temporal Changes in Crop Species Production Diversity in Mexico (1980–2020)

Spatial and Temporal Changes in Crop Species Production Diversity in Mexico (1980–2020)

Mapping the expansion of berry greenhouses onto Michoacán’s ejido lands, México

Land-use changes by Old Colonies Mennonites in Mexico with Sentinel 2 and Trends Earth

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