2.1 Study Site And Natural History Of The System
The study was conducted during the summer of 2020 in the Vega de Granada, a flat and irrigated agricultural area of small-sized farms located at ca. 650 m a.s.l. The entire area is used mainly for crop production, mostly vegetables, maize, tree plantations, and pasture. The soil is deep and loamy, and the climate is Mediterranean-type, with hot, dry summers and mild winters. The mean annual rainfall is 388 ± 29 L m2 y− 1 and the mean temperature is 15.3 ± 0.1 ºC (period 2006–2020). The study was performed in “Huerta de La Paloma” farm (study site hereafter), a private property 1.8 ha in size located in the “Vega de Granada” (SE Spain, 37º 10' 03.43'' N, 3º 36' 57.80'' W). It is at ca. 1 km from the city of Granada and devoted to research on plant-animal interactions in agroforestry systems and organic production. Different vegetables are planted every year, and ca. 25 3–6 m tall scattered fruit trees are dispersed across the farm, including plums, apples, pears, peaches, persimmons, jujube, fig trees, orange trees, and almond trees. There are also well developed edges around the farm and several larger trees such as poplars, walnuts, and Nettle trees (Celtis australis) (Fig. 1a).
The monk parakeet (Myiopsitta monachus) is a non-native species that is spreading in the area. It was first registered in the city of Granada in 1993 (Molina et al. 2016). During the beginning of the XXI century, the number of individuals increased and the monk parakeet started to be a common bird in the area. Currently, there are two colonies in the surroundings of the study site, with a total approximate number of 30 individuals (JC and MMM, personal observation). Damage to the crops by the monk parakeet has been observed in the study site and surrounding areas in recent years, although without methodical sampling. In 2019 (one year before this study), a preliminary survey was done by direct observation using binoculars and crop inspection that allowed us to confirm consumption of corn and other crops such as peaches, apples, pears, jujube, and even almond flowers during the blooming season (JC and MMM, personal observation). In 2020, we planned an experimental sowing to determine the damage produced to maize, one of the most common crops in the Vega de Granada.
2.2 Experimental Design And Sampling Of Animal Activity
In April of 2020, two cultivars of popcorn (red and blue popcorn; Fig. 2a) were planted in the study site in two parallel furrows 95 m in length and separated from each other by 50 cm. Plants within the furrows were sowed in groups of 3–4 seeds (thinned later by 2–3 plants), with a distance between groups of ca. 25 cm. The two cultivars were sowed along the furrows consecutively, each covering a length of 45 m per furrow and separated from each other by a gap of 5 m (Fig. 1a). The blue cultivar unexpectedly produced some plants with a larger stalk and ear size (Table 1), and with a kernel color and pattern similar to the carousel popcorn (Fig. 2a). In addition, another furrows 35 m in length and parallel to the pop corn was planted with a commercial maize commonly grown in the study site (Pioneer® P1524; Pioneer hereafter) at a distance of 15 m from the popcorn, using the same planting framework as described for the popcorn (Fig. 1a). This produced the following four different corn-type availabilities within the experimental area: 1) Red popcorn, 2) Blue popcorn, 3) Carousel popcorn, and 4) Pioneer. Plant height, number of cobs per plant, cob diameter and length, and grain mass for all the cultivars is shown in Table 1.
Table 1
Characteristics of the cultivars used in the study. In parentheses, sample size used for each variable. (1) Sampled in August 2020 once the stalks reached their maximum size and the kernels were ripening. (2) Sampled in October 2020 after manual harvest (see Sect. 2.3 for further description of the sampling protocol). (*) All available plants were harvested. There were significant differences among cultivars in all the parameters measured (one-way ANOVAs except for kernel mass, that was analyzed with a GLM with an exponential distribution and reciprocal as link function; p < 0.0001 in all cases).
Cultivar
|
Plant height1
(cm)
|
# Cobs per
plant1
|
Cob diameter2
(mm)
|
Cob length2
(cm)
|
Kernel mass
(g, 10 seeds)
|
Red popcorn
|
170.4 ± 2.0
(50)
|
1.04 ± 0.04
(50)
|
23.43 ± 0.16
(75)
|
18.62 ± 0.40
(75)
|
1.97 ± 0.03
|
Blue popcorn
|
124.4 ± 1.6
(50)
|
3.46 ± 0.17
(50)
|
11.61 ± 0.11
(76)
|
9.55 ± 0.15
(76)
|
0.69 ± 0.01
|
Carousel popcorn*
|
184.4 ± 5.0
(8)
|
2.25 ± 0.31
(8)
|
20.41 ± 0.31
(17)
|
16.53 ± 0.57
(17)
|
2.28 ± 0.03
|
Pioneer
|
224.0 ± 3.4
(30)
|
1.40 ± 0.09
(30)
|
24.92 ± 0.38
(41)
|
18.77 ± 0.41
(41)
|
3.23 ± 0.03
|
Animal activity in the maize was monitored using video recordings with camera traps. All recordings were taken in summer of 2020 from August 25th to September 20th. For this, wooden poles 6 cm in diameter and 1.50 m in height were inserted perpendicularly into the ground at a distance of 1.5 m from the maize, and camera traps with day and night vision were attached to the poles (Fig. 1b). We used five to eight cameras simultaneously depending on the availability on each particular day, and the recordings covered both daytime and nighttime periods. One camera was a Moultrie Realtree Original, whereas the remaining were Moultrie M-990i models (Moultrie Products, Alabama, USA). Nighttime recordings lasted 30 sec. for each video, whereas the daytime recordings lasted 90 sec. (except for the Realtree Original, which lasted 60 sec.). The recordings were taken in 12 batches regularly distributed throughout the sampling period. The cameras were activated simultaneously and recorded for approximately 24 hours per batch in order to collect recordings both during the day and at night. The videos were later revised noting the following variables for each:
1) Species identification and number of individuals per video. For this we considered as individuals any independently detected animal recorded during the duration of the video, but ensured that a particular individual was not counted more than one time. In cases where we could not guarantee that a new individual was not one that previously left the recording area, it was not added to the final number.
2) Number of individuals that consumed kernels per video, following the same restrictions as described above.
3) Time of consumption; the total time (in seconds) spent by the animals consuming corn. We considered an animal to be consuming corn when it was clearly picking at or plucking kernels and ingesting them (Supplementary Information 1).
2.3 Damage To Cobs
The damage to the cobs was sampled on 21st of September once they were dry and ready for harvest. For this, we harvested a random sample of cobs along the whole length of the furrows for each of the three initially planted cultivars, and we measured the following variables in the laboratory: 1) cob diameter (average of two perpendicular diameters in the central part of the cob), 2) cob length, and 3) length of the portion consumed (Fig. 2c). For the last two variables, we measured the length of the cob that contained grains, not the total length of the cob (this may be larger in cases where some grains at the tip of the cob abort and do not ripen).
2.4 Population Size Of Monk Parakeets
The number of individual monk parakeets foraging in the study site was estimated by direct observation. For this, two people with binoculars and connected by mobile phones occupied two different positions that allowed them to cover the full farm. Counts were done simultaneously in the morning or afternoon during a period of 30 min. The number of individuals foraging in the farm during any particular sampling was considered as the sum of the maximum number that could be counted by the two observers, ensuring that there was no repetition of individuals. A total of 10 samplings were done from the 26th of August to the 1st of October 2020.
2.5 Statistical Analysis
The number of individuals per video, the number of individuals consuming corn, and the time of consumption was analyzed on a per-video basis, discarding all the videos that did not record any animal activity. Although one of the camera traps recorded during a different duration (60 sec. versus 90 sec. for the rest of the cameras), we have not corrected for different recording durations given that the possibility that an animal could be recorded at any camera can be considered a random process. For these three variables, we used a one-way ANOVA with data previously log-transformed.
For damage to the cobs, we analyzed two variables: 1) Cobs damaged, the percentage of attacked cobs (a categorical variable, yes/no); and 2) Crop loss, i.e., the proportion of crop loss estimated as the percentage of cob length consumed (thus a variable that ranged from 0 to 100% per cob). The percentage of cobs damaged was analyzed with a chi square test. The crop loss was analyzed with a Generalized Linear Model (GLM) using an exponential distribution and a reciprocal link function. Analyses were performed with JMP 10.0 software (SAS Institute). Throughout the paper, mean values are followed by SE.