SciELO - Scientific Electronic Library Online

 
vol.32Factores que influyen en la disposición para recomendar pueblos mágicos del noroeste mexicano índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

  • No hay artículos similaresSimilares en SciELO

Compartir


Acta universitaria

versión On-line ISSN 2007-9621versión impresa ISSN 0188-6266

Acta univ vol.32  México  2022  Epub 28-Ago-2023

https://doi.org/10.15174/au.2022.3647 

Articles

Assessment of unintended effects of ditches on ecosystem services provided by Iztaccíhuatl-Popocatépetl National Park, Mexico

Evaluación de los efectos no deseados de las zanjas en los servicios ecosistémicos que brinda el Parque Nacional Iztaccíhuatl-Popocatépetl, México

Helena Cotler1 

José Alberto Lara2 

Silke Cram3 

Alejandro Guevara2 

Eunice L. Galván4 

Andrea Ramírez5 

Juan Manuel Núñez2  * 

1 Centro de Investigación en Ciencias de Información Geoespacial, México

2 Centro Transdisciplinar Universitario para la Sustentabilidad, Universidad Iberoamericana, México. C.P. 01219. Tel. (55) 91774527.

3 Instituto de Geografía, Universidad Nacional Autónoma de México, México

4 Colegio de Posgraduados-Montecillo, México

5 Instituto Nacional de Estadística y Geografía, México


Abstract

The Iztaccíhuatl-Popocatépetl National Park is a remnant of high-mountain conifer forests and grasslands that provides ecosystem services to Mexico City. This research assesses the impact of constructing ditches, through modeling infiltration, soil erosion, and carbon sequestration with the hydrological model SWAT, based on soil information (bulk density, soil organic carbon, and soil depth) obtained from the ditches. The resulting estimates revealed that the construction of ditches negatively impacted the provision of the following ecosystem services: (i) alterations of natural conditions that allow water infiltration in more than 25% of 1 ha in grasslands, and up to 20% of 1 ha in forests; (ii) increase in potential soil erosion by 60%; and (iii) up to 30 217 t and 4522 t of soil organic carbon becoming exposed and prone to mineralization in grasslands and forests, respectively.

Keywords: Soil conservation; hydrological model SWAT; public policy

Resumen

El Parque Nacional Iztaccíhuatl-Popocatépetl constituye un remanente de bosques de coníferas y pastizales de alta montaña que brinda servicios ecosistémicos a la Ciudad de México. En este trabajo se evalúa el impacto de la construcción de zanjas, a través de la modelación de infiltración, erosión y secuestro de carbono con el modelo hidrológico SWAT, a partir de información edafológica (densidad aparente, carbono orgánico, profundidad de suelos) de las zanjas obtenida en campo. Las estimaciones resultantes revelaron que la construcción de zanjas impactó negativamente la provisión de los siguientes servicios: (i) alteraciones de las condiciones naturales que permiten la infiltración de agua en más del 25% de 1 ha en pastizales, y hasta un 20% de 1 ha en bosques; (ii) aumento de la erosión potencial del suelo en un 60%; y (iii) hasta 30 217 t y 4522 t de carbono orgánico del suelo expuestas y propensas a la mineralización en pastizales y bosques, respectivamente.

Palabras clave: Conservación de suelos; modelo hidrológico SWAT; política pública

Introduction

Protected areas are a cornerstone of current conservation efforts and will continue to play an important role under climate change and biodiversity loss (Bicknell et al., 2017). In these areas, the high biodiversity “provide multiple services to humans, including climate regulation, nutrient cycling, and stable supplies of fresh water” (Collins & Mitchard, 2017). As such, managing them well is vital for human well-being and the continued functioning of the global ecosystem and economy. The ecosystem services (ES) that protected areas provide to humans are dependent on the integrity and quality of the natural environment (Rannow et al., 2014). Putting in place appropriate management practices in these areas is thus a high priority. In protected areas, soil functions support the delivery of ES, such as soil carbon sequestration, climate regulation, water regulation (Amundson et al., 2015), food production and security (White et al., 2012), and biodiversity preservation (Ibáñez et al., 2012). Soil ES depend on soil properties and interactions and are greatly influenced by soil use and management. Soil erosion and decreased soil carbon and water retention lead to soil degradation, which is a serious global challenge to ecosystem sustainability (Adhikari & Hartemink, 2016). They also play a key role in at least seven of the nine planetary boundaries (Bouma, 2014). Despite their importance, soils are often an overlooked component in studies on ES and policy decisions (Adhikari & Hartemink, 2016).

To design management strategies that ensure ecosystems to deliver multiple ES, it is necessary to understand the interactions between their abiotic and biotic components. Smith et al. (2015) mention that “this knowledge is critical to inform the sustainable long-term management of natural resources, to manage trade-offs and synergies between different services, and to design ecosystem management strategies”. The ES approach offers opportunities to develop broader constituencies for conservation, expand the possibilities of influencing decision-making (Reyers et al., 2013), and promote the sustainable management of ecosystems outside protected areas (Smith et al., 2015).

Climate change will make the management of protected areas even more challenging. Thus, it is important to adopt a transparent and scientifically rigorous monitor, as well as to reassess and respond to change and alter management (Tanner et al., 2017). This approach will give decision-makers in policy, practice, and business enough evidence to enable them to assess the impact of different management decisions (Smith et al., 2015). Assessing the impacts of policies and decisions on the sustainable use of natural capital and the provision of ES is essential for testing assumptions and enabling ongoing learning and adaptive management (Guerry et al., 2015). It is a fundamental information to understand how the biotic and abiotic attributes of natural capital influence the capacity of ecosystems to supply different services (Smith et al., 2015). However, almost all forest restoration initiatives have lacked systematic monitoring, thereby eliminating the possibility of assessing the effectiveness of forest restoration efforts and learning from experience (De Luca et al., 2010; Stanturf et al., 2019).

The Iztaccíhuatl-Popocatépetl National Park (NP) is the most important remnant of high-mountain conifer forests and grasslands in central Mexico. It provides ES related to water, carbon sequestration, and erosion regulation, which are vital to the survival of Mexico City, one of the world’s largest metropolises. Sometimes, external drivers such as management practices push the ecosystem into a state where one ES is favored over another (Bennett et al., 2009). Such is the case of the Iztaccíhuatl-Popocatépetl NP’s management program, where it was decided to give priority to a “Rainwater Harvesting” project aiming to increase aquifer recharge. In this project, government, companies, and civil society promoted the construction of ditches without defining criteria for the conservation or recovery of water bodies (Comisión Nacional de Áreas Naturales Protegidas [Conanp], 2015).

Ditches have been constructed for thousands of years to collect rainwater in arid and semi-arid areas (Critchley & Siegert, 1991). This practice is used to reduce the length of water course (Dollinger et al., 2015), collect runoff water and reduce erosion processes (Pizarro et al., 2004), improve the efficiency of rainwater use (Bulcock & Jewitt, 2013), conserve water and support biomass production and the afforestation of degraded lands (Singh et al., 2013), and control runoff water in urban areas (Chahar et al., 2012). Although no study to date has shown the benefits of this practice to soil quality, various studies have found that it has negative environmental impacts, such as reduced soil moisture retention, possible mineralization of organic carbon, and erosion of sediments on the ridges (Cotler et al., 2013, 2015; Galván-Díaz, 2016; Ramírez-Santiago, 2016). In response to these studies, Mexico’s National Forestry Commission (Comisión Nacional Forestal, [Conafor]) advised against constructing ditches in the Trans-Mexican Volcanic Belt, and in 2015, it modified its operating rules accordingly (Conafor, 2018a). However, ditches are still being constructed in other protected natural areas and in other forest areas in the country (Cotler et al., 2020).

The construction of ditches results in many negative impacts. Among them, the excavation of the first 40 cm of soil for the construction of the ditches removes large amounts of material that is exposed to the erosive effect of the rain and can mobilize between 60 ton/ha-123 ton/ha (Cotler et al., 2015). At this depth, 50% of the soil organic carbon is stored (Balbontin et al., 2009). The exposure of removed soil exposure can cause its mineralization (Geissen et al., 2013; Robert, 2001), so the removal can cause the exposition of 0.4 ton/ha-6.3 ton/ha of soil organic carbon, which is susceptible to mineralization (Cotler et al., 2015). The mineralization process releases CO2 into the atmosphere, turning the soil into a net emitter of this gas instead of a sink (Bedard-Haughn et al., 2006; Robert, 2001).

In terms of hydrologic regulation, ditches are classified under different categories: a hydrological-forestry practice (Pizarro et al., 2004), a mechanical practice (Loredo et al., 2005), or a water harvesting technique (Jha et al., 2014; Oweis et al., 1998; Singh et al., 2013). Some authors even consider it a solution for the recharge of aquifers (Cota et al., 2011), but there is very little field evidence of its effectiveness due to the difficulty of measuring the recharge (Dagès et al., 2009); and due to the negative impacts identified at the basin level, it is considered an issue that has to be carefully addressed because the ditches will change the water balance within a watershed (Glendenning et al., 2012). In addition, ditches do not improve the soil moisture retention capacity, and given the complexity of the soil-plant interactions, the best way to conserve soil moisture is by minimizing its disturbance (Delgado et al., 2013; Hartfield et al., 2001). Monitoring and scientific assessment are an essential pathway to building an adaptive management framework that promotes collaborative learning and enables transformations (Salafsky et al., 2002; Wernes et al., 2021).

In this context, this study assesses the impact of constructing ditches on the hydrological regulation (infiltration), erosion regulation, and carbon sequestration ecosystem services provided by the Iztaccíhuatl-Popocatépetl NP at the regional scale, using both secondary data analyzed in geographic information systems and primary data collected in the field by Galván-Díaz (2016) and Ramírez-Santiago (2016).

Materials and methods

Study area and description of ditches in the Iztaccíhuatl-Popocatépetl NP

The Iztaccíhuatl-Popocatépetl NP is located in the center of the Trans-Mexican Volcanic Belt at an elevation between 3000 m. a. s. l. and 5480 m. a. s. l., covering an area of 39 819.1 ha. In this mountain range, the Nearctic and Neotropical realms meet, which results in high ecosystem diversity and biological richness, thereby promoting endemism and the presence of populations typical of temperate zones (Conanp, 2013). The dominant soil types are andosols (51.6%) and luvisols (23.8%) (Instituto Nacional de Estadística y Geografía [INEGI], 2009).

This protected area is the most important remnant of high-mountain conifer forests and grasslands in central Mexico. In this area, infiltration and runoff processes allow the formation of rivers and recharge of the aquifers that supply water to the populations of Mexico City and the city of Puebla. Despite this, water scarcity has become a very serious issue, with the flow of water from springs, wells, and runoff decreasing from day to day because of both overdemand and unfavorable conditions for aquifer recharge. There is limited information available on this issue (Conanp, 2013). This area’s strategic value in providing ES, particularly water provisioning to millions of people and main agricultural valleys, led to the implementation of the “Water Factory” project (Conanp, 2013), which consisted in constructing water-infiltration basins (ditches) on mountain slopes. This project was a joint initiative of the social, public, and private sectors (Figure 1).

Source: Autor’s own elaboration.

Figure 1 Study area and location of ditches in the Iztaccíhuatl-Popocatépetl National Park, Mexico. Figure based on data from Conanp (2015). 

These basins (ditches) were constructed for the purpose of recharging the aquifers, but with no scientific information or basis to support this decision, and without considering that working the soil may alter the ES it provides, namely carbon sequestration, water infiltration, and erosion regulation.

The constructed ditches are excavations (0.4 m wide × 0.4 m deep × 2 m long) along contour lines and perpendicular to the slope, separated from each other by 2 m and alternating so that each ditch is opposite to the space between ditches in the rows above and below (Conafor, 2018b).

The extracted material was thrown up into a ridge along the lower edge of the ditch, where reforestation activities were carried out (Figure 2).

Source: Autor’s own elaboration.

Figure 2 Ditch (left), ditches on a slope (right), and ditch construction design (below) in the Iztaccíhuatl-Popocatépetl National Park, Mexico. 

A total of 3786.77 ha of drainage ditches were constructed in this protected area, covering 9.5% of the NP’s total area. These ditches are located at the following sites: Zoquiapan, Altzomoni, El Paraje, and Paso de Cortés (Table A, annexes). Their construction was funded by a non-profit organization (Pronatura México), government entities (Conanp and Conafor) and private corporations (Grupo Bimbo, The Coca-Cola Company, Volkswagen, and Grupo Televisa) (Ramírez-Santiago, 2016).

Ecosystem Services framework

The ES framework is a powerful policy tool since it makes the invisible benefits of nature become visible to society (Lara-Pulido et al., 2018). The importance of ES in policy making is recognized at the highest level of the Mexican government, where they are considered a pillar of sustainable development (Diario Oficial de la Federación [DOF], 2020). The ES framework aims to provide the tools to enable multiple stakeholders to apply the concept of ecosystem services in their planning and management practices (Maynard et al., 2010). This framework builds an interdisciplinary research bridge between natural science and social science, which can help decision-makers better integrate the concept of ES into decision-making (Potschin-Young et al., 2018; Zhang et al., 2022). The ES framework produces maps of spatial data that identify and illustrate the linkages between ecosystems, ecosystem functions, ecosystem services, and people’s well-being (Johnson et al., 2019; Maynard et al., 2010).

We showed assesses of the impact of ditches on three ES: a) hydrological regulation (infiltration), b) erosion regulation, and c) carbon sequestration. The study analyzes the sites with ditches located in Zoquiapan, Las Quintas, Altzomoni, and El Paraje. Results of small-scale in situ studies, indeed, can provide databases for a regional-scale study on soil ES using the right indicators and suitable models (Heuvelink, 1998). The methodological approach to obtain information on the three ES evaluated is presented in Figure 3 and developed in the next sections.

Source: Autor’s own elaboration.

Figure 3 Indicators and models used to obtain information on three ecosystem services (water regulation (infiltration)), erosion regulation, and climate regulation (carbon sequestration) for a cross-scale study. 

Water regulation (infiltration) modeling

Many hydrological models are currently used to assess the impact of climate and soil properties on hydrological processes and water resources (Devia et al., 2015). These models can be defined as sets of equations that allow hydrological variables to be estimated based on various parameters describing a particular basin’s characteristics. The two main entries required by all these models are precipitation data and drainage area, but parameters such as soil properties, land-use/land-cover (LULC), the river basin’s topography, soil moisture content, and characteristics of the underground aquifer, among others, are considered as well.

One of these models, the Soil & Water Assessment Tool (SWAT), simulates hydrologic processes that require a large number of spatial and temporal data of different types and sources, integrated in a geographic information system (GIS) environment. This model, currently used worldwide to study the most diverse river basins, comprises a considerable number of parameters and submodels designed to analyze and predict the flow of water, sediments, and agrochemicals (Arnold et al., 2011; Douglas-Mankin et al., 2010). In the SWAT model, water infiltration is defined as the difference between precipitation and runoff and is estimated by the rate at which water enters the first soil horizons until saturation is reached. It was thus necessary, as a first step, to undertake climate modeling (Gabriels et al., 2021).

The SWAT model uses data on elevation, soil type, and LULC, as well as on climate data such as precipitation, solar radiation, relative humidity, wind speed, and temperature. It divides the basin into subbasins, which in turn are divided into hydrologic response units (HRUs); from these, the model estimates a very wide range of variables related to the water cycle, such as runoff, evapotranspiration, infiltration, lateral flow, percolation, sedimentation, and potential erosion, among others. The results of this model are expressed in monthly terms, so the water cycle can be simulated monthly. Implementing the model in a GIS environment allowed water infiltration rate and potential erosion to be estimated in a spatially explicit setting (Table 1).

Table 1 Summarized inputs, processes, and sources used for modeling water (infiltration) and erosion regulation in the Iztaccíhuatl-Popocatépetl National Park, Mexico. 

Information Input Source
Digital elevation model (DEM) Official Mexican Digital Elevation Model from INEGI. Mexican Elevation Continuum 3.0 with a 30-m resolution Mexico’s National Institute of Statistics and Geography (Instituto Nacional de Estadística y Geografía, INEGI)
Land-use/land cover Supervised classification of a Landsat 7-ETM+ image with a 30-m resolution, dated December 3rd 2013 USGS Global Visualization Viewer (GloVis) https://glovis.usgs.gov/
Soil data Secondary data Field data Interpretation of vector soil data set, scale 1:250 000 Soil profile data set, Series II, scale 1:250 000 Organic carbon, saturated hydraulic conductivity, and soil structure INEGI (2009);
INEGI (2013) Ramírez-Santiago (2016) and
Galván-Díaz (2016)
Climate data Precipitation information obtained from the CLICOM database Climate Computing Project (CLICOM) http://clicom-mex.cicese.mx/

Source: Autor’s own elaboration.

Climate data were obtained from 12 stations distributed around the study area (five in Estado de Mexico, four in Puebla, two in Morelos, and one in Hidalgo), hence ensuring adequate spatial coverage and altitudinal range. The daily mean precipitation values and daily extreme temperatures obtained covered between the years 1982-2014. To work with series that were as complete as possible in both space and time, all the precipitation and temperature series available were processed to consistently fill the gaps and extend them starting the Climate Computing Project (Clicom), a climate data management software system developed by the United Nations (Clicom, 2018).

Based on a digital elevation model (DEM) (Table 1), the study area was divided into various subbasins using a threshold value of 68 ha. Each subbasin was in turn divided into HRU, each representing a unique combination of soil type, land cover, and slope. Each subbasin thus contained at least one HRU. Each output variable was predicted separately for each HRU and routed based on the DEM to obtain the subbasin’s total value, allowing greater precision in the spatial description of the water balance.

To determine LULC mapping data, a Landsat 7 ETM+ image (Table 1) was banding-corrected and then atmospherically corrected using FLAASH®. To conduct a maximum-likelihood supervised classification on the Landsat image, regions of interest (ROI) were defined using RapidEye images with a 5-m resolution, dated December 2013. The ROI were located so that samples could be obtained for calibrating and then validating 11 different types of land cover: 1) irrigated agriculture; 2) rain-fed agriculture; 3) urban area; 4) planted forest; 5) temperate forest; 6) area without apparent vegetation, or bare soil; 7) natural grassland; 8) temperate forest with secondary arboreal vegetation; 9) temperate forest with secondary shrub vegetation; 10) high-mountain grassland; and 11) snow.

As mentioned above, the SWAT model also requires data on LULC classes. Because of the very large number of characteristics defining each of these types, calibrating them at the scale of the study area was not feasible. The LULC classes identified in the study area were thus assigned to the model’s default categories.

Erosion regulation modeling

Erosion caused by rainfall and runoff was computed by the modified universal soil loss equation (MUSLE). The USLE predicts average annual gross erosion as a function of rainfall energy; in the MUSLE, rainfall energy is replaced with a runoff factor which improves the sediment yield prediction (Neitsch et al., 2011). For this model, field data on soil organic carbon (SOC), soil structure, and saturated hydraulic conductivity were used (Table 2).

Table 2 Soil and ecological characteristics of the study sites in the Iztaccíhuatl-Popocatépetl National Park, Mexico. * Classes: FAO (2015).  

Site Soil Conditions Slope (%) Vegetation Elevation (m. a.s.l.)
Texture Organic carbon (%) Bulk density (g/cm3) Infiltration rate (mm/min)*
Altzomoni Loam sandy 3.3 0.95 17.45 (fast) 15-20 Grassland; Forest (Pinus hartweggi) 3774-3800
Zoquiapan Sandy loam 7.7 0.83 19.4 (very fast) 27 Forest (Pinus hartweggi) with shrub species 3445
El Paraje Sandy loam 2 0.92 11.47 (medium) 25 Grassland 3500
Las Quintas Loam sandy 3.8 0.8 12.7 mm/min (fast) 30-35 Forest (Pinus hartweggi) with shrub species 3793

Note: Based on data from Galván-Díaz (2016) and Ramírez-Santiago (2016).

Source: Autor’s own elaboration.

Soil types were reinterpreted by relating soil profile data generated by Mexico’s National Institute of Statistics and Geography (Instituto Nacional de Estadística y Geografía [INEGI], 2013a) to the dominant soils. Then, soil profile characteristics were calibrated based on field studies carried out by Ramírez-Santiago (2016) and Galván-Díaz (2016).

Carbon sequestration modelling

The ES of carbon sequestration was quantified exclusively from field data on the impact of ditches on the carbon content that can potentially mineralize. In the study area, the first soil horizons have a higher soil organic carbon (SOC) content (Galván-Díaz, 2016; Ramírez-Santiago, 2016), which becomes exposed to the weather once the soil is extracted and thrown up into a ridge.

For each ditch, the amount of soil removed (t/ha) and the amount of SOC exposed to the weather (t) were calculated following these steps (Cotler et al., 2015):

Volume of soil horizon (cm3) = (Ditch width: 40 cm) * (thickness of soil horizon [cm]) * (Ditch length: 200 cm)

Volumen of soil cm3 =(Ditch width= 40 cm)(Thickness of soil horizon cm)(Ditch length:200 cm)

Weight of removed soil (kg) = (Volume of soil horizon [step 1]) * (BD [g/cm3] / 1000)

Weight of removed soil (kg) = (Volume of soil horizon [step 1]) * (BD [g/cm3] / 1000

where BD = the bulk density of each soil horizon.

3. The average weight of soil removed (t) was calculated both per ditch and per site based on the number of ditches constructed.

The amount of exposed SOC was estimated following these steps:

1. Exposed SOC (kg) = (Weight of removed soil [step 2]) * (OC [%]) / 100]

where the percentage of SOC is that of each soil horizon. The average exposed SOC (%) was calculated both per ditch and per site.

Total weight of soil removed per hectare (t/ha) = (Number of ditches per hectare at each site) * (Average weight of soil removed per site [t])

Exposed SOC per hectare (%) = (Number of ditches per hectare at each site) * (Average exposed SOC per site [%])

Results

In the study area, between 1982 and 2014, precipitation ranged from 0 mm to 122.5 mm per day and averaged 914.18 mm per year, while temperature ranged from -11.5 °C to 40.5 °C and averaged 14.9 °C. It is worth noting that this precipitation level is consistent with that reported by the Climiforad (2014). Figure 4 compares the simulated precipitation with real precipitation data observed at the 12 climate stations from 1982 to 2014. The SWAT model estimated an average precipitation of 884 mm per year, with a coefficient of determination reaching 99.8%, which indicates that the model correctly replicates the observed data and can be regarded as a good model for predicting the water cycle in the study area.

Source: Autor’s own elaboration.

Figure 4 Monthly rainfall in the Iztaccíhuatl-Popocatépetl National Park, Mexico, between 1982 and 2014. Figure based on data from the Servicio Meteorológico Nacional’s (SMN) Climate Computing (Clicom) database. 

Table B (annexes) shows the correspondence between the classes of LULC identified in the study area and the SWAT model’s default categories. It can be observed that temperate forests, forests with secondary shrub vegetation, natural grasslands, and forests with secondary arboreal vegetation dominate in the study area.

In the Iztaccíhuatl-Popocatépetl NP, vegetation types are distributed according to slope exposure and elevation. High-mountain grassland is the main vegetation type between 4000 m. a. s. l. and 4500 m. a. s. l.; conifer forests dominated by Pinus hartweggi are distributed on moister slopes, between 3500 m. a. s. l. and 4000 m. a. s. l.; and conifer forests exhibit a higher diversity of pine species as well as shrub species, between 2300 m. a. s. l. and 3500 m. a. s. l. (Escaramilla, 2007; Franco, 2005).

Reinterpreting INEGI’s soil map with detailed soil profile data (Galván-Díaz, 2016; Ramírez-Santiago, 2016) allowed the study area’s main soil types to be determined, with andosols and luvisols covering more than 75% of the area (Table C, annexes). As mentioned above, the study sites, where ditches were constructed, are located on andosols. These soils are characterized by a high organic content and a very high soil moisture storage capacity (Food and Agricultural Organization of the United Nations [FAO], 2015).

The sites analyzed were located on soils type andosol with grassland and conifer forest vegetation (Table 2).

Water regulation (infiltration) modeling

Average infiltration rate was 319 mm/year in the study area, with large variations between subbasins. Figure 5 and Table 3 show that ditches were constructed in subbasins with highly variable natural infiltration rates, ranging from very low (55 mm/year-183 mm/year in Altzonomi) to very high (439 mm/year-935 mm/year in Las Quintas) (Table 4). Thus, the infiltration capacity of soils was not a criterion for choosing suitable sites for constructing ditches. On the other hand, field data revealed that all study sites had a very high average infiltration rate, from 15.9 mm/min to 18.7 mm/min, indicating suitable natural infiltration conditions (Galván-Díaz, 2016; Ramírez-Santiago, 2016).

Source: Autor’s own elaboration.

Figure 5 Water infiltration in the Iztaccíhuatl-Popocatépetl National Park, Mexico. 

Table 3 Infiltration modeling results for each studied subbasin in the Iztaccíhuatl-Popocatépetl National Park, Mexico. 

Vegetation Type Infiltration Rate in the Subbasin (mm/year)
Altzomoni Alpine grassland 55-183
Las Quintas Temperate forest 439-935
El Paraje Alpine grasslands with shrub species 336-439
Zoquiapan Temperate forest with shrub species 336-439

Source: Autor’s own elaboration.

Table 4 Modeled potential soil erosion and potential soil erosion caused by the construction of ditches in the Iztaccíhuatl-Popocatépetl National Park, Mexico.  

Site Simulated Potential
Erosion (tons/ha)
Potential Erosion
Caused by the
Construction of
Ditches (tons/ha)
Vegetation Type
Altzomoni-A 0.02-7.08 421.8 Grassland
Altzomoni-E 14-33.93 381.9 Grassland
Las Quintas-E 0.02-7.08 133.4 Forest
El Paraje-A 33.93-63.08 197.2 Grassland
Zoquiapan-A 63.08-613.36 85.6 Forest

Note: Table based on Soil & Water Assessment Tool (SWAT) modeling and field data from Ramírez-Santiago (2016) and Galván-Díaz (2016).

Source: Autor’s own elaboration.

These values are consistent with those reported by García-Hernández et al. (2008) for similar ecosystems (35 mm/min in forests and 22.7 mm/min in grasslands). The construction of ditches can alter infiltration processes in two different ways. On the one hand, once ditches are constructed, deep soil horizons remain on the surface of the ridges which, according to Galván-Díaz (2016), Ramírez-Santiago (2016), and Cotler et al. (2013, 2015), have a higher bulk density, especially in grassland areas. This reduces water infiltration, which has been shown to be negatively correlated with bulk density (Bodhinayake & Cheng, 2004; Chyba et al., 2014; Li et al., 2015). On the other hand, the ditches covered an area of 3548 m2/ha in grasslands and 806 m2/ha in forests, and the construction of ridges led to an additional 1436 m2/ha-2815 m2/ha of grassland and 599 m2/ha-1210 m2/ha of forest being covered by soil. Thus, in total, the construction of ditches caused natural soil conditions to be altered in an area of 4984 m2/ha-6363 m2/ha in grasslands and 1405 m2/ha-2016 m2/ha in forests (Galván-Díaz, 2016; Ramírez-Santiago, 2016).

Erosion regulation modeling

The results of the erosion model (Figure 3) reveal that the average potential erosion was 42.5 t/ha in the Iztaccíhuatl-Popocatépetl NP. However, because of the area’s topographical, soil, climatic, and land-use diversity, potential erosion levels varied widely from one subbasin to another, from 0.02 t/ha to 613 t/ha. It thus appears that the ditches were constructed indiscriminately in subbasins with minimum or maximum potential erosion.

There was a larger number of ditches constructed in grassland areas (528) than in forest areas (217) (Galván-Díaz, 2016; Ramírez-Santiago, 2016). The soil characteristics and number of ditches at each site explain why the removed, extracted, and mobilized soil amounts to 197 t/ha-421 t/ha in grasslands and 85 t/ha-133 t/ha in forests. The amount of soil extracted and disaggregated by the ditches is thus larger in grasslands than in forests.

The excavation of ditches leads to the destruction of soil aggregates which, by becoming exposed on the ridges, are more vulnerable to erosion. Except for Zoquiapan, the construction of ditches always resulted in a higher potential erosion than the modeled one, reaching values up to 60 times higher (Table 4).

Areas of bare soil, typical of ridges, tend to export water and sediment (Cerdà, 1997; Pueyo et al., 2008). Also, areas with patchy vegetation are at increased risk of developing gullies and other erosion structures, resulting in irreversible soil degradation (Cammeraat & Imeson, 1999). Such forms of erosion caused by the construction of ditches are already visible in the Iztaccíhuatl-Popocatépetl NP (Figure 7).

Source: Autor’s own elaboration.

Figure 6 Potential soil erosion in the Iztaccíhuatl-Popocatépetl National Park, Mexico. 

Source: Autor’s own elaboration.

Figure 7 Ridge of a ditch with no vegetation (left) and gully formed by water running down the slope of a ditch (right) in the Iztaccíhuatl-Popocatépetl National Park, Mexico. 

Soil organic carbon sequestration

Excavating the top 40 cm of soil to construct ditches removes large quantities of soil, which become exposed to the erosive effect of rainfall. Increased soil disturbance by farming -or in this case excavations- is the main factor for the mineralization of organic matter (Bedard-Haughn et al., 2006; Robert, 2001).

In the Iztaccíhuatl-Popocatépetl NP, the excavation of ditches was found to have exposed 3.7 t-12.5 t and 1.92 t-3.3 t of organic carbon/ha in grasslands and forests, respectively (Galván-Díaz, 2016; Ramírez-Santiago, 2016). Considering the area of grasslands and forests affected by ditch construction, the amount of exposed organic carbon was estimated at 8944.3 t-30 217.1 t and 2631 t-4522.3 t in grasslands and forests, respectively, for a total of 11 575.3 t to 34 739.4 t.

This loss of soil organic carbon is more severe in that it is the main factor in maintaining basic soil functions (Janzen, 2006), especially since sources of organic carbon are by definition very limited on degraded (e.g., grazed, deforested) lands, with little vegetation left (Balbontín et al., 2009). The loss of several tons of organic carbon per hectare will thus undoubtedly hamper the recovery of these soils’ functions. For this to happen, all soil conservation practices should seek to recover, maintain and/or increase the amount of organic matter in the soil (Chabbi & Rumpel, 2009; Delgado et al., 2013; Jandl et al., 2007), which is not possible with ditches.

In summary, we can state that the construction of ditches leads to negative effects on ecosystem services related to water regulation, carbon sequestration, and regulation of soil erosion, as shown in Table 5.

Table 5 Negative impacts of constructed ditches on ecosystem services provided by the Iztaccíhuatl-Popocatépetl National Park, Mexico (estimated for the total area with ditches). 

Vegetation
Type
Loss of Natural
Infiltration (m2/ha)
Potential Soil
Erosion (t/ha)
Exposed Organic
Carbon (t)
Grassland 4984-6363 197-421 8944.3-30 217
Forest 1405-2016 85-133 2631-4522

Source: Autor’s own elaboration.

Discussion

For 11 years, government entities, companies, and non-governmental organizations (NGO) implemented the Rainwater Harvesting project to increase aquifer recharge in the Iztaccíhuatl-Popocatépetl NP. At the end of this period, about 10% of the Park’s area was modified by the construction of ditches. This program was carried out neither with a prior assessment nor with a final evaluation at the end of the program.

After assessing the impacts of such a project, our analysis concluded that far from increasing water infiltration, the program induced the opposite result. Moreover, not only water infiltration was lost but also soil erosion and carbon liberation occurred. This is a fine example of what the policy literature refers to as a public policy bearing “perverse effects'' (Vedung, 1994). Thus, there are two clear policy lessons to be learned: a) It is not “conventional wisdom” but rather sound scientific advice that should be at the design stage of any conservation project, and b) effective conservation is enhanced by implementing adaptative management measures, since this approach enables the timely correction of possible deviations from original goals, increasing the possibility to avoid unintended results and thus achieving greater effectiveness.

In this study, two of the most common methods for modeling ES were used in an integrated manner: one based on well-known causal relationships established between environmental variables from secondary data sources, mainly geographical databases, and one based on the extrapolation of primary data collected in the field (Martínez-Harms & Balvanera, 2012). The availability of both secondary and primary data relating to the Iztaccíhuatl-Popocatépetl NP allowed the spatial heterogeneity of constructed ditches to be better captured. While GIS can be a powerful tool for mapping and assessing ES, it may be most effective when implemented as part of a methodological framework that integrates technical information at multi-scales with variables and field measurements for estimating ES values with value-driven decisions and accounts for uncertainty (Nemec & Raudsepp-Hearne, 2013; Martínez-Harms et al., 2016; Uriarte et al., 2011).

Modeling ES linked to water regulation (infiltration) and potential erosion made the environmental heterogeneity of the Iztaccíhuatl Popocatépetl NP visible at the regional level. In this region, ditches were constructed on soils types andosol and luvisol, whose infiltration and potential erosion rates vary from low to very high. This means that the ditches were not constructed keeping in mind particular soil conditions, the need to control erosion, or the improvement of water infiltration. As has already been suggested, a poor initial design and lack of clarity regarding goals are two of the three main problems hindering monitoring effectiveness.

According to Lindenmayer & Likens (2009), the solution lies in what they term “adaptive monitoring”, that is, a monitoring linked to the protection of ES. Here, constructing ditches was shown to have negative impacts on the three ES studied.

With respect to soil erosion, defined as the total amount of soil material dislocated and removed some distance (Trimble, 1975), potential erosion following the construction of ditches was almost always found to be higher -up to 60 times- than modeled potential erosion. These results coincide with those found by Muñoz-Salinas & Castillo (2018), who through methods of fallout 137Cs and optically stimulated luminescence (OSL) strongly suggest that ditches, trenches, and afforestation dramatically modify the natural mechanisms of sediment transfer and favor soil erosion. They conclude that these are not effective conservation practices because they are promoting soil erosion instead of reducing it.

Furthermore, soil erosion leads to the breakdown of structural aggregates, increasing mineralization and the emission of CO2, whereas the prevalence of anaerobic conditions during sedimentation results in increased methanogenesis and denitrification, leading to the emission of CH4 and NO2, both of which are gasses having greater global warming potential than CO2 (García-Ruiz et al., 2017). Large quantities of carbon can be liberated to the atmosphere when soil is detached and transported, although “there is no scientific consensus on the global net balance effect of erosion on the carbon cycle” (Naidoo et al., 2008).

Regarding the ecosystems studied, the impact of ditches differed between grasslands and forests, being the loss of ES always greater in grasslands than in forests. The management of protected areas is “likely to become more complex because of the range of new factors to be considered” (Hagerman et al., 2010) and the urgent need for action despite the lack of information available. Thus, effective conservation requires adaptative management, i.e., “to constantly monitor, reassess, respond to change and alter management [...], and be explicit, transparent and scientifically rigorous in treating risk and uncertainty if we are to begin to deal with climate change impacts” (Tanner-McAllister et al., 2017).

In the context of adaptative management, it is necessary to strengthen the relationship between practitioners and researchers, with the challenge of developing “conservation practitioners with adaptative-management knowledge and skills” (Salafsky et al., 2002). The creation of a network of practitioners and researchers was precisely the objective of the Forum on Adaptative Management in Protected Natural Areas of the Central and Trans-Mexican Volcanic Belt Regions, which took place in 2016. This forum provided the opportunity to discuss the impacts of ditches, soil conservation objectives and the best way to meet them. Such initiatives should be further strengthened and extended to other protected areas, with a view to monitor and assess management practices to propose better ones aiming to co-design a transdisciplinary management plan to promote the interaction between community, researchers, and governance.

Conclusions

The construction of ditches has many negative environmental impacts. We assess the impact of constructing ditches on three ecosystem services provided by the Iztaccíhuatl-Popocatépetl NP at the regional scale, using both secondary data analyzed in the geographic information systems environment and primary data collected in the field. Our results confirm that ditch construction has many spatially differentiated negative impacts on the landscape, such as alteration of the natural conditions that allow infiltration, increased potential erosion, and mineralization of organic carbon on the ridges. These results confirm the need to evaluate and monitor the impacts of government programs aiming to propose best practices with the general objective of implementing co-constructed management plans in order to guarantee a better future for protected areas and the ecosystem services they provide.

Clonflicts of interest

None of the authors has any conflict of interests.

Acknowledgments

The authors wish to thank the Universidad Iberoamericana for financing the publication. Also, we are grateful to Gabriela Quiroz Cázares, CentroGeo academic, for preparing the cartographic design.

Referencias

Adhikari, K., & Hartemink, A. E. (2016). Linking soils to ecosystem services-A global review. Geoderma, 262, 101-111. doi: https://doi.org/10.1016/j.geoderma.2015.08.009 [ Links ]

Amundson, R., Asefaw, A. A., Hopmans, J. W., Olson, C., Sztein, A. E., & Sparks, D. L. (2015). Soil and human security in the 21st century. Science, 348(6235), 647- 653. doi: https://doi.org/10.1126/science.1261071 [ Links ]

Arnold, J. G., Kiniry, J. R., Srinivasan, R., Williams, J. R., Haney, E. B., & Neitsch, S. L. (2011). Soil and water assessment tool input/output file documentation version 2009. Texas Water Resources Institute. https://swat.tamu.edu/docs/Links ]

Balbontín, C., Omar, C., Paz, F., & Etchevers, J. D. (2009). Soil carbon sequestration in different ecoregions of Mexico. In R. Lal & R. Follett (eds.), Soil carbon sequestration and the greenhouse effect (pp. 71-96). Publisher: SSSA Special Publication. doi: https://doi.org/10.2136/sssaspecpub57.2ed.c5 [ Links ]

Bedard-Haughn, A., Jongbloed, F., Akkerman, J., Uijl, A., De Jong, E., Yates, T., & Pennock, D. (2006). The effects of erosional and management history on soil organic carbon stores in ephemeral wetlands of hummocky agricultural landscapes. Geoderma, 135, 296-306. doi: https://doi.org/10.1016/j.geoderma.2006.01.004 [ Links ]

Bennett, E. M., Peterson, G. D., & Gordon, L. J. (2009). Understanding relationships among multiple ecosystem services. Ecology Letters, 12(12), 1394-1404. doi: https://doi.org/10.1111/j.1461-0248.2009.01387.x [ Links ]

Bicknell, J. E., Collins, M. B., Pickles, R. S. A., McCann, N. P., Bernard, C. R., Fernandes, D. J., Miller, M. G. R., James, S. M., Williams, A. U., Struebig, M. J., Davies, Z. G., & Smith, R. J. (2017). Designing protected area networks that translate international conservation commitments into national action. Biological Conservation, 214, 168-175. doi: https://doi.org/10.1016/j.biocon.2017.08.024 [ Links ]

Bodhinayake, W., & Cheng Si, B. (2004). Near‐saturated surface soil hydraulic properties under different land uses in the St Denis National Wildlife Area, Saskatchewan, Canada. Hydrological processes, 18(15), 2835-2850. doi: https://doi.org/10.1002/hyp.1497 [ Links ]

Bouma, J. (2014). Soil science contributions towards sustainable development goals and their implementation: linking soil functions with ecosystem services. Journal of Plant Nutrition and Soil Science, 177(2), 111-120. doi: https://doi.org/10.1002/jpln.201300646 [ Links ]

Bulcock, L. M., & Jewitt, G. P. W. (2013). Key physical characteristics used to assess water harvesting suitability. Physics and Chemistry of the Earth, Parts A/B/C, 66, 89-100. doi: https://doi.org/10.1016/j.pce.2013.09.005 [ Links ]

Cammeraat, L. H., & Imeson, A. C. (1999). The evolution and significance of soil-vegetation patterns following land abandonment and fire in Spain. Catena, 37(1-2), 107-127. doi: https://doi.org/10.1016/S0341-8162(98)00072-1 [ Links ]

Cerdà, A. (1997). Soil erosion after land abandonment in a semiarid environment of Southeastern Spain. Arid Soil Research and Rehabilitation, 11(2), 163-176. doi: https://doi.org/10.1080/15324989709381469 [ Links ]

Chabbi, A., & Rumpel, C. (2009). Organic matter dynamics in agro-ecosystems, the knowledge gaps. European Journal of Soil Science, 60(2), 153-157. doi: https://doi.org/10.1111/j.1365-2389.2008.01116.x [ Links ]

Chahar, B. R., Graillot, D., & Gaur, S. (2012). Storm-water management through infiltration trenches. Journal of Irrigation and Drainage Engineering, 138(3), 274-281. doi: https://doi.org/10.1061/(ASCE)IR.1943-4774.0000408 [ Links ]

Chyba, J., Kroulík, M., Krištof, K., Misiewicz, P. A., & Chaney, K. (2014). Influence of soil compaction by farm machinery and livestock on water infiltration rate on grassland. Agronomy Research, 12(1), 59-64. [ Links ]

Clicom. (2018). [Base de datos climatológica nacional (Sistema Clicom)]. Clicom-mex. http://clicom-mex.cicese.mxLinks ]

Climiforad. (2014). Izta-Popo. Climate Change, Latin America Mountain Forests and Adaptation. http://www.climiforad.org/territorios/itza-popo/Links ]

Collins, M. B., & Mitchard, E. T. A. (2017). A small subset of protected areas are a highly significant source of carbon emissions. Scientific Reports, 7(41902), 1-11. doi: https://doi.org/10.1038/srep41902 [ Links ]

Comisión Nacional de Áreas Naturales Protegidas (Conanp). (2013). Programa de Manejo. Parque Nacional Iztaccíhuatl Popocatépetl. Gobierno de México. https://simec.conanp.gob.mx/ficha.php?anp=87&=11Links ]

Comisión Nacional de Áreas Naturales Protegidas (Conanp). (2015). [Información espacial de las áreas naturales protegidas]. Conanp. http://sig.conanp.gob.mx/website/pagsig/Links ]

Comisión Nacional Forestal (Conafor). (2018a) Reglas de Operación del Programa Apoyos para el Desarrollo Forestal Sustentable. Gobierno de México. https://www.gob.mx/conafor/documentos/reglas-de-operacion-2018Links ]

Comisión Nacional Forestal (Conafor). (2018b). Protección, restauración y conservación de suelos forestales. Manual de obras y prácticas (4th ed.). Conafor. http://www.conafor.gob.mx:8080/documentos/docs/20/1310Manual%20de%20Conservacion%20de%20Suelos%20.pdfLinks ]

Cota, E., Marín, L., & Balcazar, M. (2011). Recargas de acuíferos mediante la construcción de tinas ciegas. ProNatura, 3(17), 12-14. [ Links ]

Cotler, H., Cram, S., Martinez-Trinidad, S, & Quintanar, E. (2013). Forest soil conservation in central Mexico: an interdisciplinary assessment. Catena, 104, 280-287. doi: http://dx.doi.org/10.1016/j.catena.2012.12.005 [ Links ]

Cotler, H., Cram, S., Martínez-Trinidad, S., & Bunge, V. (2015). Evaluación de prácticas de conservación de suelos forestales en México: caso de las zanjas trinchera. Investigaciones Geográficas, (88), 6-18. doi: https://doi.org/10.14350/rig.47378 [ Links ]

Cotler, H., Merino, L., & Martinez-Trinidad, S. (2020). Forest soil management: a Mexican experience. Open Journal of Soil Science, 10(9), 374-390. doi: https://doi.org/10.4236/ojss.2020.109020 [ Links ]

Critchley, W., & Siegert, K. (1991). A manual for the design and construction of water harvesting schemes for plant production. Food and Agriculture Organization of the United Nations (FAO), Roma, AGL/MISC/17/91. https://www.fao.org/3/U3160E/U3160E00.htmLinks ]

Dagès, C., Voltz, M., Bsaibes, A., Prevot, L., Huttel, O., Louchart, X., Garnier, F., & Negro, S. (2009). Estimating the role of a ditch network in groundwater recharge in a Mediterranean catchment using a water balance approach. Journal of Hydrology, 375(3-4), 498-512. doi: https://doi.org/10.1016/j.jhydrol.2009.07.002 [ Links ]

Delgado, J. A., Nearing, M. A., & Rice, C. W. (2013). Conservation practices for climate change adaptation. Advances in Agronomy, 121, 47-115. doi: https://doi.org/10.1016/B978-0-12-407685-3.00002-5 [ Links ]

De Luca, T. H., Aplet, G. H., Wilmer, B., & Burchfield, J. (2010). The unknown trajectory of forest restoration: a call for ecosystem monitoring. Journal of Forestry, 108(6), 288-295. doi: https://doi.org/10.1093/jof/108.6.288 [ Links ]

Devia, G. K., Ganasri, B. P., & Dwarakish, G. S. (2015). A review on hydrological models. Aquatic Procedia, 4, 1001-1007. doi: https://doi.org/10.1016/j.aqpro.2015.02.126 [ Links ]

Diario Oficial de la Federación (DOF). (07 de julio de 2020). Programa Sectorial de la Secretaría de Medio Ambiente y Recursos Naturales 2020-2024. Semarnat. https://www.dof.gob.mx/nota_detalle.php?codigo=5596232&fecha=07/07/2020#gsc.tab=0Links ]

Dollinger, J., Dagès, C., Bailly, J., Lagacherie, P., & Voltz, M. (2015). Managing ditches for agroecological engineering of landscape. A review. Agronomy for Sustainable Development, 35, 999-1020. doi: https://doi.org/10.1007/s13593-015-0301-6 [ Links ]

Douglas-Mankin, K. R., Srinivasan, R., & Arnold, J. G. (2010). Soil and water assessment tool (SWAT) model: current developments and applications. Transactions of the ASABE, 53(5), 1423-1431. doi: https://doi.org/10.13031/2013.34915 [ Links ]

Escaramilla, M. E. (2007). La vegetación de alta montaña del volcán Iztaccihuatl, México: un enfoque fitosociológico (Master Thesis). Instituto de Biología, Universidad Nacional Autónoma de México. https://ru.dgb.unam.mx/handle/DGB_UNAM/TES01000619089Links ]

Food and Agricultural Organization of the United Nations (FAO). (2015). Status of the world’s soil resources: main report. FAO. https://www.fao.org/documents/card/es/c/c6814873-efc3-41db-b7d3-2081a10ede50/Links ]

Franco, O. (2005). Geomorfología del volcán Popocatépetl (Master Thesis). Instituto de Geografía, Universidad Nacional Autónoma de México. https://ru.dgb.unam.mx/handle/DGB_UNAM/TES01000349084 [ Links ]

Gabriels, K., Willems, P., & Van Orshoven, J. (2021). Performance evaluation of spatiallydistributed, CN-based rainfall-runoff model configurations for implementation in spatial land use optimization analyses. Journal of Hydrology, 602, 126872. doi: https://doi.org/10.1016/j.jhydrol.2021.126872 [ Links ]

Galván-Díaz, E. L. (2016). Impacto de las zanjas trinchera sobre la calidad del suelo en las laderas medias del Parque Nacional Iztaccíhuatl-Popocatépetl (Bachelor Thesis). Facultad de Ciencias, Universidad Nacional Autónoma de México. https://ru.dgb.unam.mx/handle/DGB_UNAM/TES01000751134Links ]

García-Hernández, A. M., García-Hernández, M. A., Castellanos, I., Cano-Santana, Z., & Peláez-Rocha, M. C. (2015). Variation of the mean infiltration rate in six unperturbed ecosystems. Terra Latinoamericana, 26(1), 21-27. https://www.scielo.org.mx/scielo.php?pid=S0187-57792008000100003&script=sci_abstract&tlng=enLinks ]

García‐Ruiz, J. M., Beguería, S., Lana‐Renault, N., Nadal‐Romero, E., & Cerdà, A. (2017). Ongoing and emerging questions in water erosion studies. Land Degradation & Development, 28(1), 5-21. doi: https://doi.org/10.1002/ldr.2641 [ Links ]

Geissen, V., Wang, S., Oostindie, K., Huerta, E., Zwart, K. B., Smit, A., Ritsema, C. J., & Moore, D. (2013). Effects of topsoil removal as a nature management technique on soil functions. Catena, 101, 50-55. doi: https://doi.org/10.1016/j.catena.2012.10.002 [ Links ]

Glendenning, C. J., Van Ogtrop, F. F., Mishra, A. K., & Vervoort, R. W. (2012). Balancing watershed and local scale impacts of rain water harvesting in India-A review. Agricultural Water Management, 107, 1-13. doi: https://doi.org/10.1016/j.agwat.2012.01.011 [ Links ]

Guerry, A. D., Polasky, S., Lubchenco, J., Chaplin-Kramer, R., Daily, G. C., Griffin, R., Ruckelshaus, M., Bateman, I. J., Duraiappah, A., Elmqvist, T., Feldman, M. W., Folke, C., Hoekstra, J., Kareiva, P. M., Keeler, B. L., Li, S., McKenzie, E., Ouyang, Z., Reyers, B., Ricketts, T. H., Rockström, J., Tallis, H., & Vira, B. (2015). Natural capital and ecosystem services informing decisions: from promise to practice. Proceedings of the National academy of Sciences, 112(24), 7348-7355. doi: https://doi.org/10.1073/pnas.1503751112 [ Links ]

Hagerman, S., Dowlatabadi, H., Chan, K. M. A., & Satterfield, T., (2010). Integrative propositions for adapting conservation policy to the impacts of climate change. Global Environmental Change, 20(2), 351-362. doi: https://doi.org/10.1016/j.gloenvcha.2009.11.002 [ Links ]

Hartfield, J. L., Sauer, T. J., & Prueger, J. H. (2001). Managing soils to achieve greater water use efficiency: a review. Journal of Agronomy, 93, 271-280. doi: https://doi.org/10.2134/agronj2001.932271x [ Links ]

Heuvelink, G. B. M. (1998). Uncertainty analysis in environmental modelling under a change of spatial scale. In P. A. Finke, J. Bouma & M. R. Hoosbeek (eds.), Soil and water quality at different scales (pp. 255-264). Springer. doi: https://doi.org/10.1007/978-94-017-3021-1_24 [ Links ]

Ibáñez, J. J., Krasilnikov, P. V., & Saldaña, A. (2012). Archive and refugia of soil organisms: applying a pedodiversity framework for the conservation of biological and non‐biological heritages. Journal of Applied Ecology, 49(6), 1267-1277. doi: https://doi.org/10.1111/j.1365-2664.2012.02213.x [ Links ]

Instituto Nacional de Estadística y Geografía (INEGI). (2009). Conjunto de datos vectorial Edafológico escala 1: 250 000 Serie II. https://www.inegi.org.mx/app/biblioteca/ficha.html?upc=702825235673Links ]

Instituto Nacional de Estadística y Geografía (INEGI). (2013a). Conjunto de datos de perfiles de suelos. Escala 1:250 000. Serie II. https://www.inegi.org.mx/app/biblioteca/ficha.html?upc=702825266707Links ]

Instituto Nacional de Estadística y Geografía (INEGI). (2013b). Continuo de elevaciones mexicano 3.0 (CEM 3.0) - descarga. https://www.inegi.org.mx/app/geo2/elevacionesmex/Links ]

Jandl, R., Lindner, M., Vesterdal, L., Bauwens, B., Baritz, R., Hagedorn, F., Johnson, D. W., Minkkinen, K., & Byrne, K. A. (2007). How strongly can forest management influence soil carbon sequestration?Geoderma , 137(3-4), 253-268. doi: https://doi.org/10.1016/j.geoderma.2006.09.003 [ Links ]

Janzen, H. H. (2006). The soil carbon dilemma: shall we hoard it or use it? Soil Biology & Biochemistry, 38(3), 419-424. doi: https://doi.org/10.1016/j.soilbio.2005.10.008 [ Links ]

Jha, M. K., Chowdary, V. M., Kulkarni, Y., & Mal, B. C. (2014). Rainwater harvesting planning using geospatial techniques and multicriteria decision analysis. Resources, Conservation and Recycling, 83, 96-111. doi: https://doi.org/10.1016/j.resconrec.2013.12.003 [ Links ]

Johnson, J. A., Jones, S. K., Wood, S. L. R., Chaplin‐Kramer, R., Hawthorne, P. L., Mulligan, M., Pennington, D., & DeClerck, F. A. (2019). Mapping Ecosystem Services to Human Well‐being: a toolkit to support integrated landscape management for the SDGs. Ecological Applications, 29(8), e01985. doi: https://doi.org/10.1002/eap.1985 [ Links ]

Lara-Pulido, J. A., Guevara-Sanginés, A., & Arias, C. (2018). A meta-analysis of economic valuation of ecosystem services in Mexico. Ecosystem Services, 31, 126-141. doi: https://doi.org/10.1016/j.ecoser.2018.02.018 [ Links ]

Li, Y., Fan, J., Hu, Z., Shao, Q., Zhang, L., & Yu, H. (2015). Influence of land use patterns on evapotranspiration and its components in a temperate grassland ecosystem. Advances in Meteorology, 2015, 1-12. doi: https://doi.org/10.1155/2015/452603 [ Links ]

Lindenmayer, D. B., & Likens, G. E. (2009). Adaptive monitoring: a new paradigm for long-term research and monitoring. Trends in Ecology & Evolution, 24(9), 482-486. doi: https://doi.org/10.1016/j.tree.2009.03.005 [ Links ]

Loredo, C., Beltrán, S., Sarreón, J. L., & Domínguez, M. C. (2005), Prácticas mecánicas para el control de la erosión hídrica. In C. Loredo (ed.), Prácticas para la conservación de suelo y agua en zonas áridas y semiáridas (pp. 75-110). INIFAP-CIRNE-Campo Experimental San Luis. https://www.researchgate.net/publication/265220117Links ]

Martínez-Harms, M. J., & Balvanera, P. (2012). Methods for mapping ecosystem service supply: a review. International Journal of Biodiversity Science, Ecosystem Services & Management, 8(1-2), 17-25. doi: https://doi.org/10.1080/21513732.2012.663792 [ Links ]

Martínez-Harms, M. J., Quijas, S., Merenlender, A. M., & Balvanera, P. (2016). Enhancing ecosystem services maps combining field and environmental data. Ecosystem Services, 22, 32-40. doi: https://doi.org/10.1016/j.ecoser.2016.09.007 [ Links ]

Maynard, S., James, D., & Davidson, A. (2010). The development of an ecosystem services framework for South East Queensland. Environmental Management, 45(5), 881-895.doi: https://doi.org/10.1007/s00267-010-9428-z [ Links ]

Muñoz-Salinas, E., & Castillo, M. (2018). Assessing conservation practices in Amalacaxco Gorge (Izta-Popo National Park, Central Mexico) using fallout 137Cs and optically stimulated luminescence (OSL). Journal of Mountain Science, 15(3). doi: https://doi.org/10.1007/S11629-017-4635-1 [ Links ]

Naidoo, R., Balmford, A., Costanza, R., Fisher, B., Green, R. E., Lehner, B., Malcolm, T. R., & Ricketts, T. H. (2008). Global mapping of ecosystem services and conservation priorities. Proceedings of the National Academy of Sciences, 105(28), 9495-9500. doi: https://doi.org/10.1073/pnas.0707823105 [ Links ]

Neitsch, S. L., Arnold, J. G., Kiniry, J. R., & Williams, J. R. (2011). Soil and water assessment tool theoretical documentation version 2009. Texas Water Resources Institute. https://hdl.handle.net/1969.1/128050Links ]

Nemec, K. T., & Raudsepp-Hearne, C. (2013). The use of geographic information systems to map and assess ecosystem services. Biodiversity and Conservation, 22(1), 1-15. doi: https://doi.org/10.1007/s10531-012-0406-z [ Links ]

Oweis, T., Oberle, A., & Prinz, D. (1998). Determination of potential sites and methods for water harvesting in central Syria. Advances in GeoEcology, 31, 83-88. https://www.researchgate.net/publication/266326704Links ]

Pizarro, M. R., Flores, J. P., Martínez, E., & Sangüesa, C. B. (2004). Monografías: zanjas de infiltración. Universidad de Talca. https://bibliotecadigital.infor.cl/handle/20.500.12220/7806Links ]

Potschin-Young, M., Haines-Young, R., Görg, C., Heink, U., Jax, K., & Schleyer, C. (2018). Understanding the role of conceptual frameworks: reading the ecosystem service cascade. Ecosystem Services , 29, 428-440. doi: https://doi.org/10.1016/j.ecoser.2017.05.015 [ Links ]

Pueyo, Y., Kéfi, S., Alados, C. L., & Rietkerk, M. (2008). Dispersal strategies and spatial organization of vegetation in arid ecosystems. Oikos, 117(10), 1522-1532. doi: https://doi.org/10.1111/j.0030-1299.2008.16735.x [ Links ]

Ramírez-Santiago, A. (2016). Impacto ambiental de zanjas de infiltración en el Parque Nacional Izta-Popo (Estado de México) (Bachelor Thesis), Facultad de Filosofía y Letras, Universidad Nacional Autónoma de México. https://ru.dgb.unam.mx/handle/DGB_UNAM/TES01000745451Links ]

Rannow, S., Macgregor, N. A., Albrecht, J., Crick, H. Q. P., Förster, M., Heiland, S., Janauer, G., Morecroft, M. D., Neubert, M., Sarbu, A., & Sienkiewicz, J. (2014). Managing protected areas under climate change: challenges and priorities. Environmental Management , 54, 732-743. doi: https://doi.org/10.1007/s00267-014-0271-5 [ Links ]

Reyers, B., Biggs, R., Cumming, G. S., Elmqvist, T., Hejnowicz, A. P., & Polasky, S. (2013). Getting the measure of ecosystem services: a social-ecological approach. Frontiers in Ecology and the Environment, 11(5), 268-273. doi: https://doi.org/10.1890/120144 [ Links ]

Robert, M. (2001). Soil carbon sequestration for improved land management. World Soil Reports 96. FAO. https://www.fao.org/agl/agll/docs/wsrr96e.pdfLinks ]

Salafsky, N., Margoluis, R., Redford, K. H., & Robinson, J. G. (2002). Improving the practice of conservation: a conceptual framework and research agenda for conservation science. Conservation Biology, 16(6), 1469-1479. doi: https://doi.org/10.1046/j.1523-1739.2002.01232.x [ Links ]

Singh, G., Mishra, D., Singh, K., & Parmar, R. (2013). Effects of rainwater harvesting on plant growth, soil water dynamics and herbaceous biomass during rehabilitation of degraded hills in Rajasthan, India. Forest Ecology and Management, 310, 612-622. doi: https://doi.org/10.1016/j.foreco.2013.09.002 [ Links ]

Smith, P., Cotrufo, M. F., Rumpel, C., Paustian, K., Kuikman, P. J., Elliott, J. A., McDowell, R., Griffiths, R. I., Asakawa, S., Bustamante, M., House, J. I., Sobocká, J., Harper, R., Pan, G., West, P. C., Gerber, J. S., Clark, J. M., Adhya, T., Scholes, R. J., & Scholes, M. C. (2015). Biogeochemical cycles and biodiversity as key drivers of ecosystem services provided by soils. Soil, 1(2), 665-685. doi: https://doi.org/10.5194/soil-1-665-2015 [ Links ]

Stanturf, J. A., Kleine, M., Mansourian, S., Parrotta, J., Madsen, P., Kant, P., Burns, J., & Bolte, A. (2019). Implementing forest landscape restoration under the Bonn Challenge: a systematic approach. Annals of Forest Science, 76(2), 1-21. doi: https://doi.org/10.1007/s13595-019-0833-z [ Links ]

Tanner-McAllister, S. L., Rhodes, J., & Hockings, M. (2017). Managing for climate change on protected areas: an adaptive management decision making framework. Journal of Environmental Management , 204, 510-518. doi: https://doi.org/10.1016/j.jenvman.2017.09.038 [ Links ]

Trimble, S. W. (1975). A volumetric estimate of man-induced soil erosion on the southern. In Present and Prospective Technology for Predicting Sediment Yield and Sources: Proceedings of the Sediment-Yield Workshop, USDA Sedimentation Laboratory. Agricultural Research Service, US Department of Agriculture. [ Links ]

Uriarte, M., Yackulic, C. B., Lim, Y., & Arce-Nazario, J. A. (2011). Influence of land use on water quality in a tropical landscape: a multi-scale analysis. Landscape Ecology, 26(8), 1151-1164. doi: https://doi.org/10.1007/s10980-011-9642-y [ Links ]

Vedung, E., (1994). Perverse effects, null effects, and side effects of public policies. Peace Forum, 11(20), 9-15. https://www.researchgate.net/profile/Evert-Vedung/publication/343152804_Perverse_Effects_Null_Effects_and_Side_Effects_of_Public_Policies/links/5f1967b6299bf1720d5ca819/Perverse-Effects-Null-Effects-and-Side-Effects-of-Public-Policies.pdfLinks ]

Werners, S. E., Wise, R. M., Butler, J. R. A., Totin, E., & Vincent, K. (2021). Adaptation pathways: a review of approaches and a learning framework. Environmental Science & Policy, 116, 266-275. doi: https://doi.org/10.1016/j.envsci.2020.11.003 [ Links ]

White, P. J., Crawford, J. W., Díaz-Álvarez, M. C., & García-Moreno, R. (2012). Soil management for sustainable agriculture.Applied and Environmental Soil Science , 2012, 1-3. doi: https://doi.org/10.1155/2012/850739 [ Links ]

Zhang, C., Li, J., & Zhou, Z. (2022). Ecosystem service cascade: concept, review, application and prospect. Ecological Indicators, 137, 1-8. doi: https://doi.org/10.1016/j.ecolind.2022.108766 [ Links ]

Cómo citar: Cotler, H., Lara, J. A., Cram, S., Guevara, A., Galván, E. L., Ramírez, A., & Núñez, J. M. (2022). Assessment of unintended effects of ditches on ecosystem services provided by Iztaccíhuatl-Popocatépetl National Park, Mexico. Acta Universitaria 32, e3647. doi: http://doi.org/10.15174.au.2022.3647

Annexes

Table A Descriptive data on the ditches constructed in the Iztaccíhuatl-Popocatépetl National Park, Mexico, as part of Conanp’s “Water Factory” project (2000-2013). 

Site Funding Organization Period Total Area (ha) Slope Vegetation Type
Altzomoni and Las Quintas CONAFOR1
Grupo Televisa
Volkswagen (VW)
VW-Grupo Televisa
2002-2003
2005
2008-2013
191.60 25%-30% Grassland and planted woodland
Zoquiapan Pronatura México-The Coca Cola Company 2005-2008 1370.40 25%-30% Forest
El Paraje-Paso de Cortés Pronatura México
Grupo Bimbo-CONAFOR
Grupo Bimbo
2000-2004
2003
2003-2005
2225.77 20%-25% Grassland and forest
Bienes Comunales de Amecameca Pronatura México
The Coca-Cola Company
CONANP2-CONAFOR
2009 250 20%-25% Grassland

Note: (1) Comisión Nacional Forestal; (2) Comisión Nacional de Áreas Naturales Protegidas.

Source: Autor’s own elaboration.

Table B Types of land use and vegetation in the Iztaccíhuatl-Popocatépetl National Park, Mexico.  

Type of Land Use and Vegetation Area (ha) Percentage (%) SWAT Category
Urban area 216.8 0.3 Residential-Med/Low Density
Irrigated agriculture 195.6 0.2 Agricultural Land-Close-grown
Rain-fed agriculture 152.4 0.2 Agricultural Land-Generic
Planted forest 1 198.1 1.4 Forest-deciduous
Without vegetation 419.1 0.5 Barren
Temperate forest 24 614.8 28.4 Forest-evergreen
High-mountain grassland 17 841.7 20.6 Grassland
Temperate forest with secondary arboreal vegetation 14 948.1 17.3 Forest-mixed
Temperate forest with secondary shrub vegetation 24 394.5 28.2 Range-brush
Snow 2 560.9 3.0 Winter pasture

Note: Based on data from Arnold et al. (2011).

Source: Autor’s own elaboration.

Table C Soil types in the Iztaccíhuatl-Popocatépetl National Park, Mexico. 

Soil Type Area (ha) Percentage (%)
Andosol 44 682.8 51.6
Luvisol 20 631.3 23.8
Regosol 6 139.1 7.1
Leptosol 6 451.6 7.4
Cambisol 5 429.7 6.3
Arenosol 2 656.3 3.1
Phaeozem 626.6 0.7

Note: Based on data from INEGI (2009, 2013).

Source: Autor’s own elaboration.

Received: July 08, 2022; Accepted: October 03, 2022; Published: December 14, 2022

*Corresponding author juan.nunez@ibero.mx.

Creative Commons License This is an open-access article distributed under the terms of the Creative Commons Attribution License