Appendix A. Individual Conceptual Networks Representing Agricultural Management and Ecosystem
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1Appendix A. Individual conceptual networks representing agricultural
2management and ecosystem services provision.
3
4 The relationships between agricultural management and eight ecosystem
5services (ES) provided by Pampean agroecosystems were represented in individual
6conceptual networks (Figs. 1 to 8). The eight conceptual networks developed in this
7work contained five types of nodes, and four types of logical links between nodes (see
8Section 2.3.). These logical links present capital letters in order to easily explain each
9conceptual network.
10
111. Supporting Service: Elements cycling - C Balance
12
13Fig. 1 Conceptual network representing functional relationships between agricultural management and
14provision of the Supporting service: Elements cycling - C balance. Capital letters represent the logical
15links between nodes. Legend: circles meaning input variables; rounded-squares meaning decision
16variables; squares meaning state variables; triangles meaning ecosystem processes and diamond meaning
17ecosystem service provision indicators. Tº: temperature, and Pp: rainfall
18
1 1 19 It is generally known that C inputs in soils consist of crop residues and roots,
20and sometimes additions of soil organic amendments; while C loss is caused by humus
21and residue mineralization, in conditions where soil erosion and C leaching are minimal
22(C leaching is not an important cause of soil organic carbon (SOC) losses in Pampean
23agroecosystems (Roberto Álvarez, personal communication)) (Oorts and others 2006).
24The interaction between temperature and rainfall regulates SOC through the influence
25of soil organic matter (SOM) mineralization (Fig. 1, Relations A and B) (Roberto
26Álvarez and Raúl Lavado, personal communication). High temperature reduces SOC
27because of intense SOM mineralization, while there is no linear answer for rainfall (Fig.
281, Relations A, B and F) (Álvarez and Lavado 1998). However, it is widely accepted
29that, in general, rainfall has the same effect as temperature (Fig. 1, Relations B and F)
30(Roberto Álvarez and Raúl Lavado, personal communication). Additionally, crop
31species, their growth rate and yield determine the amount and type (i.e., quality) of crop
32residue (including crop roots) (Fig. 1, Relations D and I) (Ernst and others 2002) which
33change SOC in surface soil layers, specially in no-tillage systems (Álvarez and Lavado
341998). Surface soil layers have greater C amounts because of the input of crop residue
35from harvested plants (Álvarez and Lavado 1998). Generally, legume species (e.g.,
36soybean) have higher mineralization rates than gramineous species (e.g., wheat, maize)
37due to lower C/N relations (Fig. 1, Relation E) (Ernst and others 2002).
38 Another conditioning factor of SOC reduction is erosion vulnerability which is
39higher in continuous cropping systems, principally by 1) removing C from one site and
40depositing it elsewhere, and 2) promoting soil degradation and then reducing
41productivity (Fig. 1, Relation G) (Martínez-Mena and others 2008). However, it can be
42assumed that SOC movement is dependent on the topographic position (Haydée
43Steinbach and Roberto Álvarez, personal communication). Soils under no-tillage reduce
2 2 44both eolic erosion in semiarid sites, and hydric erosion in sites with great slopes
45(Monzon and others 2006).
46
472. Supporting Service: Elements cycling - N Balance
48
49Fig. 2 Conceptual network representing functional relationships between agricultural management and
50provision of the Supporting service: Elements cycling - N balance. Capital letters represent the logical
51links between nodes. Legend: circles meaning input variables; rounded-squares meaning decision
52variables; squares meaning state variables; triangles meaning ecosystem processes and diamond meaning
53ecosystem service provision indicator. Tº: temperature, and Pp: rainfall
54 55 Soil nitrogen (N) availability is modulated by four main factors: SOM
56mineralization, crop residue, fertilization regime and N losses (Cassman and others
572002). N mineralization through SOM is a very important supply source due to its usage
58availability (Fig. 2, Relation G), increasing or decreasing crop yield (Fig. 2, Relation J)
59(Bono and Álvarez 2007). The increase in soil moisture content increases mineralized N
60(Fig. 2, Relations B and F) (Helena Rimski-Korsakov, personal communication). This
61increase is a direct consequence of higher microbial activity, until the concentration of
3 3 62oxygen in the soil becomes a limitation for the microorganisms (Navarro and others
631991). Moreover, SOM is not only affected by mineralization but also by crop residue
64disposal on soil surface layers (Fig. 2, Relation E) (Ernst and others 2002), as it occurs
65for SOC in no- and reduced tillage systems. N fertilization can increase the amount of
66soil N pools which will be available for crops (Fig. 2, Relation K) (Abril and others
672007). However, N excedent can also be immobilized by microorganisms, resulting in a
68non linear effect (i.e., increase or reduce) of the application (Fig. 2, Relation K)
69(Cassman and others 2002; Portela and others 2006). Furthermore, N losses by
70denitrification, volatilization or leaching are the main causes for the low efficiency in
71the use of N, and therefore they affect available N in soil (Fig. 2, Relation L) (Abril and
72others 2007). Because of the low degree of these losses during the whole crop growth
73cycle (Álvarez and Grigera 2005), they can be grouped all together under the name of N
74losses (Roberto Álvarez, personal communication).
75
763. Supporting Service: Water cycling - Soil water balance
77
78Fig. 3 Conceptual network representing functional relationships between agricultural management and
79provision of the Supporting service: Water cycling - Soil water balance. Capital letters represent the
80logical links between nodes. Legend: circles meaning input variables; rounded-squares meaning decision
81variables; squares meaning state variables; triangles meaning ecosystem processes and diamonds meaning
82ecosystem service provision indicators. Tº: temperature, and Pp: rainfall
4 4 83 84 In Pampean agroecosystems, water supply for crops is determined by nine
85variables: 1) evaporation, 2) runoff, 3) soil structural stability, 4) soil texture, 5) aquifer
86depth, 6) soil depth, 7) presence of weeds/fallow/cover crops, 8) irrigation, and 9)
87rainfall (Fig. 3, Relations M, N, O, P, Q, R, S, T and C). These variables, in general,
88increase or affect water supply for crops. For instance, no-tillage systems leave crop
89residue on the soil surface and, therefore, soil evaporation is clearly decreased (Fig. 3,
90Relations E and F) (Monzon and others 2006). Relative soil evaporation rates directly
91influence the amount of soil water retained which will be used by the crop (Fig. 3,
92Relation M) (O´Leary and Connor 1997). Stubble mulch protects the surface soil from
93erosion and runoff, and increases water storage by minimising surface sealing and
94enhancing infiltration, as well as by directly reducing evaporation (Fig. 3, Relations G,
95J, N and O) (O´Leary and Connor 1997). Moreover, irrigation not only increases water
96supply for crops (Fig. 3, Relation T) but also affects runoff, depending on the amount of
97water irrigated and crop residue on soil surface (Fig. 3, Relation L) (Olga Heredia,
98personal communication). Systems under no-tillage can increase soil water
99accumulation during fallows (Fig. 3, Relation S), and thereby offer the potential for
100affecting crop yield in Pampean agroecosystems (Olga Heredia and Francisco Bedmar,
101personal communication) (Fig. 3, Relation U).
102 Soil depth is related with the ability of roots to explore soil profile and to absorb
103water stored there (Fig. 3, Relation R); on the other hand, aquifer depth can be defined
104by characterizing the average depth fluctuation of water table in different regions (Fig.
1053, Relation Q) (Esteban Jobbágy, personal communication). This is specially important
106in sandy soils (Claudia Sainato, personal communication). Finally, weeds can be burned
107to avoid evaporation as well as the establishment of cover crops (Fig. 3, Relation S)
108(Olga Heredia and Silvina Portela, personal communication).
5 5 109
1104. Supporting service: Soil conservation – Soil structural maintenance
111
112Fig. 4 Conceptual network representing functional relationships between agricultural management and
113provision of the Supporting service: Soil conservation – Soil structural maintenance. Capital letters
114represent the logical links between nodes. Legend: circles meaning input variables; rounded-squares
115meaning decision variables; squares meaning state variables; triangles meaning ecosystem processes and
116diamonds meaning ecosystem service provision indicators. Tº: temperature, and Pp: rainfall
117 118 Structural stability is defined as soil capacity to preserve the system of solids and
119pore space, when subjected to different external disturbances (e.g., tillage) (Taboada
120and Micucci 2002). Its loss is the critical factor which determines structural
121deterioration. This deterioration is evidenced by the formation of surface crusts, higher
122rates of runoff and soil loss due to erosion, as well as reduced water storage (Taboada
123and Micucci 2002). Soil structural stability is clearly affected by land use, which is in
124turn positively associated with crop residue, total organic C concentration and the forms
125of organic C (Fig. 4, Relations I and J) (Caravaca and others 2004). The close
126association found between structural stability, labile carbon and microbial biomass
6 6 127confirms both their importance in the mineralization process and their ability as
128aggregate cementitious (Fig. 4, Relations G and H) (Urricarriet and Lavado 1999).
129According to the first statement, SOM decomposition may be limited by pore size
130distribution due to the localization of SOM in pores inaccesible to microorganisms, a
131limited nutrient supply to microorganisms and restricted predation of those
132microorganisms (Miguel Taboada and Roberto Casas, personal communication).
133Furthermore, soil structural stability is one of the most important characteristics
134affecting crop yield (Fig. 4, Relation K) because it affects root penetration, water
135storage capacity, and air and water movement in soil (Fig. 4, Relation O) (Aparicio and
136Costa 2007).
137
1385. Regulating Service: Climate regulation – N2O emission control
139
140Fig. 5 Conceptual network representing functional relationships between agricultural management and
141provision of the Regulating service: Climate regulation – N2O emission control. Capital letters represent
142the logical links between nodes. Legend: circles meaning input variables; rounded-squares meaning
143decision variables; squares meaning state variables; triangles meaning ecosystem processes and diamonds
144meaning ecosystem service provision indicators. Tº: temperature, and Pp: rainfall
145
7 7 146 Although denitrification is only part of direct N2O emissions from soils, it is the
147most studied process in contrast with nitrification occurring in unsaturated soils, among
148other conditions (Fig. 5, Relation P) (Laura Yahdjian, personal communication). Thus,
149the main factors controlling denitrification are: soil pH, soil texture, nitrate
150concentration, C availability, aeration and moisture content (Guo and Zhou 2007).
151However, the major factors to consider, in terms of N2O production in Pampean
152agroecosystems, are available N in soil and moisture content (in this case, rainfall) (Fig.
1535, Relations N and O) (Palma and others 1997; Ciampitti and others 2005). For instance,
154it is known that the presence of actively growing plants limits the denitrification process
155in comparison with those treatments without plants, due to reduced water availability
156and to lower levels of nitrates in soil, to a lesser extent (Sainz Rozas and others 2004).
157Once the crop is harvested and crop residue remains on the surface, soluble C
158concentration is associated with denitrification (Fig. 5, Relation E); this is because
159bacteria biomass capable of denitrification is probably controlled primarily by C
160availability under aerobic conditions (Fig. 5, Relation M) (Miguel Taboada, personal
161communication), while emissions occur mainly during anaerobic conditions (Fig. 5,
162Relation O).
163
1646. Regulating Service: Water purification - Groundwater contamination control
165
8 8 166Fig. 6 Conceptual network representing functional relationships between agricultural management and
167provision of the Regulating service: Water purification - Groundwater contamination control. Capital
168letters represent the logical links between nodes. Legend: circles meaning input variables; rounded-
169squares meaning decision variables; squares meaning state variables; triangles meaning ecosystem
170processes and diamonds meaning ecosystem service provision indicators. Tº: temperature, and Pp: rainfall
171
172 Nitrate (NO3) leaching is one of the main causes for groundwater contamination
173(Fig. 6, Relations N and O) (Abril and others 2007; Claudia Sainato and Olga Heredia,
174personal communication). However, Mugni and others (2005) measured NO3
175concentration in four Pampasic streams and concluded that it was relatively modest
176compared to intensively cultivated basins in Europe and North America. Consequently,
177there is a slow N enrichment of water resources in Pampean agroecosystems (Portela
178and others 2006). Water quality is reduced not only by N fertilization (Fig. 6, Relation
179J) (Rimski-Korsakov and others 2004; Abril and others 2007), but also SOM
180mineralization through several years removes great amounts of NO3 towards aquifers
181(Portela and others 2006; Helena Rimski-Korsakov and Raúl Lavado, personal
182communication) (Fig. 6, Relation G). N fertilization could also be indirectly inducing
183soil NO3 leaching, by altering the ability of plants root system to acquire N from soil
184and net mineralization rate from organic N pools (Cassman and others 2002).
185Furthermore, fertilization in excess of crop requirements or water excedent, such as
186rainfall events (Fig. 6, Relation M) or irrigation (Fig. 6, Relation K), increase the
187probability of soil NO3 leaching (Costa and others 2002; Rimski-Korsakov and others
1882004; Vergé and others 2007). It is important to clarify that the Pampa region has low N
189inputs through rainfall (Portela and others 2006). Other factors affecting soil NO3
190leaching are particle size distribution, soil porosity and the ocurrence of preferential
191flow paths. These causes can be grouped under soil texture, which is another important
9 9 192factor because of its ability for retaining water (Fig. 6, Relation L) (Taboada and
193Micucci 2002).
194
1957. Regulating Service: Regulation of biotic adversities
196
197Fig. 7 Conceptual network representing functional relationships between agricultural management and
198provision of the Regulating service: Regulation of biotic adversities. Capital letters represent the logical
199links between nodes. Legend: circles meaning input variables; rounded-squares meaning decision
200variables; squares meaning state variables; triangles meaning ecosystem processes and diamonds meaning
201ecosystem service provision indicators
202
203 In Pampean agroecosystems, crop environment is determined by: 1) tillage
204system, 2) crop protection, 3) sowing density, 4) sowing date, 5) fertilization, 6)
205genotype selection, and 7) irrigation (Fig. 7, Relations B, A, C, D, E, F and G). These
206variables affect not only crop yield but also species composition and abundance of plant
207and animal community, and beneficial species (Fig. 7, Relations H, J and L) (Emilio
208Satorre and Elba De la Fuente, personal communication). Beneficial species as well as
209crop environment and crop changes affect species composition and
210abundance/incidence of pests, diseases and weeds (Fig. 7, Relations K, L and N). The
211latter reduces crop yield and affects natural pest mitigation of ecosystems (Fig. 7,
10 10 212Relations I and O). The presence of weeds influences the presence of diseases and
213diversity and abundance of two insect types: pests, with negative consequences for
214cropping systems, and their natural enemies (Altieri 1999). Generally, a high density of
215weeds is counter-productive because they reduce crop yield and its quality (Albrecht
2162003).
217
2188. Biodiversity maintenance
219
220Fig. 8 Conceptual network representing functional relationships between agricultural management and
221Biodiversity maintenance. Capital letters represent the logical links between nodes. Legend: circles
222meaning input variables; rounded-squares meaning decision variables; squares meaning state variables;
223triangles meaning ecosystem processes and diamond meaning ecosystem service provision indicator
224
225 Biological diversity or biodiversity is defined as the wide variety of plants,
226animals, microorganisms and their genetic variations (Altieri 1999). In agroecosystems,
227the variety of crops are also considered as biodiversity components (María Elena
228Zaccagnini, personal communication). However, the type and abundance of biodiversity
229may differ across agroecosystems in relation to their crop protection (i.e.,
11 11 230phytotherapics application) and tillage system (Fig. 8, Relations A, B and C) (María
231Elena Zaccagnini, personal communication).
232 Other management strategies for increasing biodiversity involve the 1)
233manipulation of undisturbed areas within agroecosystems, 2) preservation of weeds, or
2343) introduction of mixtures containing grasses, legumes, flowering and/or aromatic
235plants. These strategies offer alternative food sources (i.e., pollen, nectar) to different
236organisms, and places for hibernation and reproduction (Fig. 8, Relation D) (Carmona
237and Landis 1999; Carmona and others 1999; Landis and others 2000). Furthermore,
238areas functioning as shelters act as biological corridors in the mobility of natural
239enemies (decreasing, in some cases, phytotherapic application) and their non-
240fragmentation is fundamental to the establishment of these organisms and the rapid
241recolonization of agroecosystems after a disturbance (Fig. 8, Relation D) (Carmona and
242Landis 1999; Landis and others 2000; Jonsson and others 2008; Gardiner and others
2432009; Rufus and others 2009).
244 Sequences, rotations and landscape structure provide two types of
245agroecosystems heterogeneity (Fig. 8, Relations E and F). On the one hand,
246sequences/rotations are recognized as temporal heterogeneity even though they are
247planned biodiversity (e.g., crops, pastures); on the other hand, landscape structure can
248be identified as spatial heterogeneity (Elba De la Fuente, personal communication).
249Landscape structure plays a crucial role in the survival of species by offering different
250kinds of habitat (Claudio Ghersa, personal communication).
251
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