Methods Directory UMM :Data Elmu:jurnal:A:Agriculture, Ecosystems and Environment:Vol79.Issue2-3.July2000:

D.D. Poudel et al. Agriculture, Ecosystems and Environment 79 2000 113–127 115 Soil Erosion-Soil Productivity Research Planning Committee, 1981. While the well-tested empirical Universal Soil Loss Equation USLE can be modi- fied to cope with steepland situations in the tropics Lo, 1994, process-based models are generally pre- ferred Paningbatan, 1994; Hashim et al., 1995. The Erosion-Productivity Impact Calculator EPIC model Williams et al., 1984 is a comprehensive field-scale model that operates on a daily time step King et al., 1996. It is process-based and has been tested exten- sively in a number of local, regional, and national studies in continental USA and Hawaii Steiner et al., 1987; Williams, 1991; Phillips et al., 1993; Richard- son and King, 1995; King et al., 1996; Cavero et al., 1998. EPIC has the capability to simulate complex crop rotations for decades and centuries; it is designed to help the decision makers to evaluate alternative cropping systems, and predict their socio-economic and environmental sustainability Cabelguenne et al., 1990; Jones et al., 1991. Farmer participatory research FPR has been proposed as an approach in developing appropriate agricultural systems that are indisputably acceptable to farmers yet contribute to the improvement and mainte- nance of agricultural sustainability and environmental quality Fujisaka, 1989; NRC, 1991; Edwards et al., 1993; Cox et al., 1996; Rhoades, 1997. Rhoades and Booth 1982 developed the Farmer-Back-to-Farmer model which was a forerunner to the participatory ap- proach. This model begins and ends with farmer, and it involves four activities: 1 farmer-scientist diagnosis 2 interdisciplinary team research 3 on-farm testing and adaptation, and 4 farmer evaluationadaptation. Thus, the farmer is considered as an ‘expert’ member of the interdisciplinary team and is integrally engaged in problem identification, definition, and solution design. In the upper slopes of the Manupali watershed in northern Mindanao in the Philippines, soil erosion on commercial vegetable farms was reportedly largely responsible for a declining crop productivity. As part of a larger project on Sustainable Agriculture and Natural Resources Management SANREM-CRSP NRC, 1991, farmer participatory research on soil erosion management was started in 1994. The ob- jectives of this research were: 1 to measure soil erosion losses on farmers’ fields using Farmer Partic- ipatory Research approach, 2 to assess the effects of cropping sequence on soil erosion in steepland veg- etable systems, and 3 to provide recommendations for choice of cropping sequences to farmers, credit agencies and agricultural technicians for enhanced production system sustainability.

2. Methods

2.1. Description of the study area The study area is located in the Manupali wa- tershed 124 ◦ 47 ′ to 125 ◦ 08 ′ E and 7 ◦ 57 ′ to 8 ◦ 08 ′ N Kanemasu et al., 1997 in northern Mindanao, the Philippines. The soil parent materials were thick de- posits of siliceous volcanic ejecta, either deposited in place volcanic cone or transported from ups- lope as colluvial or alluvial materials. Elevations in the watershed range from 320 m above sea level masl to 2938 masl. This watershed has four broad geomorphic units: the Mountains 1400–1900 masl, the Upper Footslopes 700–1400 masl, the Lower Footslopes 370–700 masl, and the Alluvial Terraces 320–370 masl West et al., 1997. According to FAO classification system, soils in the Mountains were Silic Andosols, Haplic Acrisols, and Dystric Cambisols, while those in the Upper and the Lower Footslopes were Lixic Ferralsols and Haplic Ferralsols as were those in the Alluvial Terraces. Mean annual precipitation 1994–1996 measured at a weather station in the watershed 1500 masl was 2825 mm Table 1. Rainfall is not equally distributed throughout the year, but there is normally no month with 100 mm of rainfall. Mean monthly minimum and maximum air temperatures were 15.5 and 26.4 ◦ C, respectively. Major crops grown are corn, sugarcane Saccharum officinarum L. and rice Oryza sativa L. at the lower elevations, whereas tomato, potato, sweet pea Pisum sativum L., cauliflower Brassica oler- aceavar. botrytis L., cabbage and other leafy vegeta- bles are dominant field crops in the upper elevations. 2.2. Formal survey and farmer-scientist diagnosis As shown in Fig. 1, the research study started with a participatory householdfarm survey conducted in May–June 1994. This survey was done to un- derstand the existing vegetable production systems, 116 D.D. Poudel et al. Agriculture, Ecosystems and Environment 79 2000 113–127 Table 1 Mean monthly rainfall, temperature, and relative humidity for the research site in the Manupali watershed, Mindanao, the Philippines 1994–1996 a JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC Annual Precipitation mm 150 124 97 164 363 327 194 412 242 421 118 213 2825 Number of days with precipitation 21 16 17 16 24 27 22 23 21 27 20 21 256 Maximum air temperature ◦ C 23.2 23.1 23.8 24.5 24.5 24.1 23.6 23.7 23.4 23.4 26.4 25.4 24.1 Minimum air temperature ◦ C 15.5 15.2 15.5 16 16.8 16.7 16.6 16.4 16.7 16.5 17.4 17.5 16.4 Relative humidity 88 87 85 85 86 89 86 87 86 85 88 87 86.5 a Weather data recorded in SANREM-CRSP automatic weather station at Bulogan, Lantapan. inputs-outputs, market infrastructure, profitability, etc., in the Manupali watershed Poudel et al., 1998, 1999a. Seven preliminary transects within vegetable production zones were identified for diagnostic sur- vey. These transects were discussed with and the interviewing schedule was reviewed by, leading veg- etable farmers and political figures of the area. Eight barangays or villages Capitan Juan, Kaatuan, Alanib, Sungco, Cawayan, Victory, Kibangay, and Basac were identified as survey sites representing vegetable growing zones. The total number of vegetable grow- ers in each barangay was obtained from data recorded by the Municipal Agricultural Office MAO, Lanta- pan, and the sample size was determined to represent 15 of that population. A composite random soil sample 0–15 cm was collected from the main parcel of vegetable land and nearby uncultivated i.e. from under hedges or the field perimeters land for each of the respondents surveyed. Each of these soil samples were analysed to determine the soil texture Day, 1965, soil pH in both 1 : 1 H 2 O, and 1 : 2 CaCl 2 so- lution, organic C Nelson and Sommers, 1982, and exchangeable Ca extracted with NH 4 OAc at pH 7 and measured by atomic absorption spectrophotome- try Blakemore et al., 1987. For the same parcel the representative natural slope and slope of the superim- posed rows was measured with a Sunnto clinometer. Results from the above survey were presented to the respondents in a 2-day farmers’ workshop organized in April in the following year Poudel, 1995. Objectives of this workshop were to validate the survey results, to identify indigenous technology systems that would be useful to minimize soil and nutrient losses from vegetable fields, to determine future research activities on soil erosion control, and to identify farmer cooper- ators for on-farm soil conservation research. Based on this highly interactive process, two issues on steep- land vegetable production systems were identified: declining land productivity due to soil erosion, and increasing incidence of diseases and pests. In order to minimize soil and nutrient losses and improve farm productivity and income, a set of alternative technolo- gies to the traditional farmer up-and-down the slope plantings, such as high-value contour hedgerows, contouring, and tree-vegetable intercropping were identified as practices favoured by farmers for exper- imentation. Planting contour hedgerows across the slope was identified as the most acceptable conserva- tion practice. However, most farmer participants did not like the conventional hedgerow species because of the following reasons: 1 reduction in arable land area, 2 shading of vegetable crops due to lateral spread over the field by e.g. Flemingia macrophylla a leguminous tree, 3 requiring regular mainte- nance, 4 not providing immediate economic return, and 5 unavailability of planting material. Napier grass Pennisetum purpureum K. Schum. was not popular because its roots spread laterally. However, one farmer suggested making a ditch around the rows of napier so that roots cannot spread out in the field. Farmers wanted to use high-value crops as hedgerows in their vegetable fields. The following were the crops vegetable growers were interested to test as hedgerows: asparagus, pineapple, pigeon peas, lemon grass, and tea. Results from tree-vegetable intercrops are considered elsewhere Nissen et al., 1999. 2.3. Design and implementation of participatory field experiments Field experiments to evaluate the effectiveness of high-value contour hedgerows and cropping sequences in minimizing soil erosion were laid out at two levels of detail: researcher-managed, and farmer-managed. D.D. Poudel et al. Agriculture, Ecosystems and Environment 79 2000 113–127 117 Fig. 1. Methodological framework for farmer participatory soil conservation research in the Manupali watershed, Mindanao, the Philippines. Data were collected from both for seven cropping seasons. 2.3.1. Researcher-managed field experiment A researcher-managed field experiment was set up in a site selected by the farmers and researchers. The researcher-managed site had 24 erosion-runoff plots 19 m × 8 m each at on average 42 natu- ral slope. Each erosion-runoff plot was demarcated with galvanized iron sheets at 22.5 cm above and 20 cm below the ground surface. Each erosion-runoff plot had a leveled soil-collecting buffer at its base. 118 D.D. Poudel et al. Agriculture, Ecosystems and Environment 79 2000 113–127 These soil-collecting buffers were covered by tents to avoid mixing of eroded soil and direct rainfall falling in the buffer zone, and each erosion-runoff plot had a pair of runoff-collecting barrels at the bottom. The first barrel had 10 equal-sized holes, one linked to the next barrel with a connecting hose to collect one-tenth of run-off water from the first barrel. Eroded soils were collected after every rain event and weighed. This experiment tested 12 treatments four erosion conservation practices i.e. contour hedgerows spaced between up-and-down cultivation of vegetables, contour planting of vegeta- bles, strip cropping of vegetables and beans Phase- olus vulgaris L., and the farmers’ usual practice, up-and-down cultivation of vegetables by three crops i.e. tomato, corn, and cabbage combinations in a replicated randomized block design. There were three annual cropping sequences first crop planted in Jan- uary: tomato-corn-cabbage, cabbage-corn-tomato, and corn-cabbage-tomato. A wide range of data were collected from the researcher-managed site including, rainfall amount, soil and runoff losses, tillage prac- tices, crop yields, crop cover, nutrient losses, and soil scouring. Composite soil samples 0–15 cm were col- lected from original soil surface and at the end of the experiment for all erosion-runoff plots. Results from this experiment are presented elsewhere Poudel et al., 1999b. Table 2 Site characteristics and selected soil chemical properties of the original soil surface 0–15 cm on farmer-managed erosion-runoff plots in the Manupali watershed, Mindanao, the Philippines Plot Location Elevation Natural Total-N Organic C pH-H 2 O P Ca Mg K ID masl a slope g kg − 1 g kg − 1 mg kg − 1 cmol c kg − 1 cmol c kg − 1 cmol c kg − 1 1 Sungco 1180 31 4 46 5.3 2.9 1.8 1.1 0.6 2 Mapawa 1305 23 4 53 5.1 1.8 1.6 1.3 0.5 3 Mapawa 1315 40 4 64 5.0 2.1 2.3 1.8 0.6 4 Mapawa 1345 33 4 78 5.0 2.1 1.2 1.1 0.4 5 Cawayan 1185 20 2 38 6.3 4.6 3.8 1.0 0.5 6 Cawayan 1200 16 2 43 4.8 2.1 2.7 0.9 0.3 7 Cawayan 1205 20 3 57 5.2 3.9 2.7 1.8 0.8 8 Victory 1210 37 5 73 5.9 8.1 7.4 2.0 0.9 9 Victory 1310 36 1 51 4.7 4.2 2.3 1.1 0.3 10 Kibangay 1280 44 3 46 4.7 4.9 0.9 1.1 0.5 11 Kibangay 1470 65 4 50 5.1 1.4 1.8 0.7 0.4 12 Basac 1000 62 4 43 5.0 3.2 1.7 2.1 0.9 a Meters above sea level. 2.3.2. Farmer-managed field experiment There were 12 farmer-managed erosion-runoff plots across the landscape of the Manupali watershed Table 2. As in the researcher-managed erosion-runoff plots, the high-value species contour hedgerows in the farmer-managed erosion-runoff plots included from top to bottom: asparagus, pineapple, pigeon peas, and lemon grass which replaced tea after the first season. Slopes for the farmer-managed research plots ranged between 16 and 65 Table 2. As in the researcher-managed erosion-runoff plots, each erosion-runoff plot was demarcated with galvanized iron sheets set at 22.5 cm above and 20 cm below the ground surface. Each erosion-runoff plot had a leveled soil collecting buffer at its base. The number of contour hedgerows on farmer- managed erosion-runoff plots varied according to their natural slope, as vegetable fields were placed into one of three categories: 25 slope, 25–40 slope, and 40 slope Poudel, 1995. The first category represented relatively gentle sloping areas and were mostly plowed by draft animals. Vegetable fields under the second and the third categories were cultivated without the use of draft animals. The ac- ceptable distances between contour hedgerows for these three slope categories were: 7 m for 25 slope, 5 m for 25–40 slope, and 4 m for 40 slope Poudel, 1995. Plots with 40 slope included all D.D. Poudel et al. Agriculture, Ecosystems and Environment 79 2000 113–127 119 Table 3 Measured and simulated annual soil loss and simulated annual runoff on farmer-managed erosion-runoff plots in the Manupali watershed, Mindanao, the Philippines b Plot ID Cropping sequence Annual soil loss Simulated annual runoff mm Measured Mg ha − 1 Simulated Mg ha − 1 1 Cabbage-fallow-tomato a 16.5 11.0 56 2 Fallow-corn-cabbage 18.2 14.5 37 3 Cabbage-corn-potato 26.6 33.9 77 4 Fallow-cabbage-potato 34.0 45.3 81 5 Fallow-fallow-fallow 23.7 22.9 40 6 Cabbage-fallow-tomato 8.4 6.0 23 7 Sweet pepper-fallow-cabbage 13.4 11.8 33 8 Cabbage-potato-cauliflower 1.4 Na b Na b 9 Fallow-fallow-potato 23.1 18.1 87 10 Potato-cauliflower-sweet pea 52.5 57.7 58 11 Fallow-fallow-potato 17.1 27.3 123 12 Fallow-fallow-potato 19.1 23.6 118 a The first, second and the third crops represent January, May and September plantings, respectively. b Not available. the four hedgerow species planted at 4 m intervals, those with 25–40 slope had asparagus, pineap- ple and pigeon pea planted at 5 m intervals, and those with 25 slope had asparagus and pineapple planted at 7 m intervals. Cropping sequences first crop planted in January–February in farmer-managed erosion-runoff plots included: cabbage-fallow-tomato, fallow-corn-cabbage, cabbage-corn-potato, fallow- cabbage-potato, fallow-fallow-fallow, sweet pepper Capsicum annuum L. var. annuum-fallow-cabbage, cabbage-potato-cauliflower, fallow-fallow-potato, and potato-cauliflower-sweet pea Table 3. Farmer-managed erosion-runoff plots were visited fortnightly by researchers to make sure that eroded soils had been collected, weighed and recorded prop- erly in the data sheets provided to each farmer coopera- tors. Eroded soils were collected after every rain event. Researchers made their visual observation on pest and disease infestation, crop growth, erosion and weeds regularly. To ensure a better interaction between farm- ers and researchers, visits were scheduled on those days when the farmers were available on their farms. Data collection in farmer-managed research con- centrated mainly on soil erosion, tillage practices, crop management, and inputs and output. For the first crop- ping season, eroded soils were collected, air-dried, weighed, and recorded. However, farmers complained of the time and space needed for air-drying. There- fore, they were provided a bucket to collect moist soil and record volumetrically. The wet soils were cali- brated into dry weight based on researcher managed site. Air-dried weight was 40 of the wet weight. This minimized farmers’ time and risk of loosing eroded soils while air drying. Except for plot number 10, 11 and 12 whose natural slope exceeded 40 Table 2, the first cultivation of these erosion-runoff plots was done by a draft-animal drawn plow while all other cul- tivation and tillage practices were done by hand. All cultivation and tillage practices were done by hand for plot number 10, 11 and 12. Composite soil samples 0–15 cm depth were col- lected prior to planting the first crop July, 1995 and the end of the experiment August, 1997. Se- lected chemical properties were determined for soil samples collected from both farmer-managed and researcher-managed erosion-runoff plots. Soil pH was measured in 1 : 2 H 2 O. Organic C was determined by modified Walkley–Black method Nelson and Som- mers, 1982, while total N was determined by the modified Kjeldahl method Black, 1965. Exchange- able K, Ca, and Mg were extracted with NH 4 OAc at pH 7, and the cations in the leachate were measured by atomic absorption spectrophotometry Blake- more et al., 1987. Available P was determined with Bray-2 extraction Murphy and Riley, 1962. Selected soil chemical properties of the original soil surface 120 D.D. Poudel et al. Agriculture, Ecosystems and Environment 79 2000 113–127 0–15 cm on farmer-managed erosion-runoff plots are presented in Table 2. 2.4. EPIC modeling The EPIC model was calibrated using data for the tomato-corn-cabbage cropping sequence from the researcher-managed erosion-runoff plots. The tomato-corn-cabbage cropping sequence was selected because its annual soil loss 44.1 Mg ha − 1 was similar to the average annual soil loss 45.4 Mg ha − 1 for the three cropping sequences tested: tomato-corn-cabbage, corn-cabbage-tomato and cabbage-tomato-corn in the researcher-managed site. The annual soil loss values for corn-cabbage-tomato and cabbage-tomato-corn were 53.5 and 38.9 Mg ha − 1 , respectively, suggesting that corn-cabbage-tomato sequence was the most ero- sive of the three Poudel et al., 1999b. Higher soil loss in the corn-cabbage-tomato cropping sequence is attributed to less canopy cover during the erosive months of August through October. EPIC model calibration was also done for a fallow-fallow-fallow cropping sequence on farmer-managed plot 5. The fallow crop best fit given by a substituted sorghum Sorghum bicolor L. Moench. hay crop to simulate Imperata cylindrica L. Beauv. was established in October in 1995, and the calibration was undertaken for fallow starting then. The Green-Ampt infiltration equation available in the EPIC model was used to estimate runoff. Soil loss was estimated using the small watershed version of the Modified Universal Soil Loss Equation. Weather files were developed based on the 3 years’ weather data col- lected at the weather station in the watershed, which was approximately 2 km from the researcher-managed experimental site. The weather file included daily records on precipitation, temperature, solar radia- tion, and relative humidity. Since wind velocities were lacking in this dataset, the Priestley–Taylor method that requires only radiation and temperature was used to estimate the potential evapotranspiration. Soil information for each of the nine horizons from the surface to 1.9 m depth was obtained from pro- file sampling and analyses Poudel and West, 1999. Crop parameters used were from the USDA crop file provided in the model. The model was initialized as close as possible with the measured annual soil loss values of tomato-corn-cabbage cropping sequence. The model was validated with independent data sets from replicated cropping sequences: cabbage-tomato- corn, corn-cabbage-tomato, fallow-fallow-potato, and cabbage-fallow-tomato from farmer-managed and researcher-managed experiments, by comparing pre- dicted values to the measured values. The effective- ness of the model for soil loss and runoff prediction under steepland vegetable systems was evaluated using statistical measures including mean, standard deviations, and the root mean square error RMSE. The RMSE values for each cropping sequence was calculated as follows: RMSE = s P N i= 1 O i − S i 2 N 1 where, O i are observed values and S i are simulated values, and N is the number of observations. This method is commonly used to evaluate model perfor- mance Smith et al., 1996. The smaller the RMSE, the closer the agreement between simulated and observed values. Three-year simulation runs predicting annual soil loss and runoff with 15, 25, 35, 45, 55, and 65 slopes were made for each of the selected cropping se- quences: tomato-fallow-fallow, cabbage-fallow-fallow, fallow-cabbage-fallow, tomato-corn-fallow, fallow- corn-cabbage, tomato-corn-cabbage, cabbage-tomato- corn, cabbage-corn-tomato, tomato-cabbage-tomato, cabbage-tomato-cabbage and corn-cabbage-tomato. These cropping sequences represent those commonly used for commercial vegetable production in the wa- tershed Poudel, 1995; Poudel et al., 1998. Simulated plantings took place during the first week of January, May and September, as is common in the region. 2.5. Farmer cooperators survey A brief survey primarily aimed at identifying farmer cooperators’ perceptions, problems, and fu- ture suggestions in relation to FPR in soil erosion management was conducted at the end of the on-farm field experiments. The survey included four main open-ended questions: 1 what did you learn from the FPR? 2 what were the advantages of this research? 3 what were the major problems encountered dur- ing this research? and 4 what do you suggest for D.D. Poudel et al. Agriculture, Ecosystems and Environment 79 2000 113–127 121 the future improvement of FPR on soil erosion? The survey information was analyzed and reported.

3. Results and discussion

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