Food Web Database

The food webs are based on published studies of various types of habitat. The original food web matrix is not a square matrix.  It contains m columns of predators and n rows of preys with a 1 at the intersection to indicate a direct feeding relation. We converted the original food web matrix into a community matrix and set a_ij = -1 and a_ji = 1 if species i feeds on species j. You can decide if a self-loop is added to each species or to the primary producer.

Web Number:
1 ,	2 ,	3 ,	4 ,	5 ,	6 ,	7 ,	8 ,	9 ,	10 ,	11 ,	12 ,	13 ,	14 ,	15 ,
16 ,	17 ,	18 ,	19 ,	20 ,	21 ,	22 ,	23 ,	24 ,	25 ,	26 ,	27 ,	28 ,	29 ,	30 ,
31 ,	32 ,	33 ,	34 ,	35 ,	36 ,	37 ,	38 ,	39 ,	40 ,	41 ,	42 ,	43 ,	44 ,	45 ,
46 ,	47 ,	48 ,	49 ,	50 ,	51 ,	52 ,	53 ,	54 ,	55 ,	56 ,	57 ,	58 ,	59 ,	60 ,
61 ,	62 ,	63 ,	64 ,	65 ,	66 ,	67 ,	68 ,	69 ,	70 ,	71 ,	72 ,	73 ,	74 ,	75 ,
76 ,	77 ,	78 ,	79 ,	80 ,	81 ,	82 ,	83 ,	84 ,	85 ,	86 ,	87 ,	88 ,	89 ,	90 ,
91 ,	92 ,	93 ,	94 ,	95 ,	96 ,	97 ,	98 ,	99 ,	100 ,	101 ,	102 ,	103 ,	104 ,	105 ,
106 ,	107 ,	108 ,	109 ,	110 ,	111 ,	112 ,	113 ,

Title: The trophic interrelationships and ecology of some littoral communities of Lake Nyasa Citation: Proc. London Zool. Soc. 132:153-281 (1959). Prior number: Cohen (1978) 28.2 Year: 1978 # of species 37 Add self-loop to only primary producers Add self-loop to all species Community Matrix:   1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 1 0 1 1 0 0 1 2 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 3 1 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 4 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 8 0 -1 -1 -1 -1 -1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 14 0 0 0 0 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 1 0 1 1 0 0 0 0 0 0 0 0 0 0 18 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 19 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 1 1 0 0 1 20 -1 0 -1 0 0 0 0 0 0 0 -1 0 -1 0 0 0 -1 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 21 -1 0 -1 0 0 0 -1 -1 -1 0 -1 -1 0 0 0 0 0 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -1 0 22 -1 0 -1 0 0 0 0 0 -1 0 -1 -1 0 0 -1 0 -1 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 -1 0 23 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 24 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -1 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 25 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 26 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 27 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -1 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 28 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 29 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 31 -1 0 0 0 0 0 0 0 0 0 -1 0 -1 0 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 -1 0 0 0 0 0 0 32 0 0 0 0 0 0 0 0 0 0 0 0 0 -1 0 0 0 0 -1 -1 0 0 0 0 -1 0 -1 0 0 0 0 -1 0 0 0 0 0 33 -1 0 -1 0 0 0 0 0 0 -1 0 0 0 0 0 0 0 0 -1 0 0 0 0 0 -1 -1 0 -1 0 0 0 0 -1 0 0 -1 0 34 -1 -1 0 0 0 0 0 0 0 -1 0 0 0 0 0 0 0 0 -1 0 0 -1 -1 -1 0 0 0 0 -1 -1 0 0 0 -1 0 -1 -1 35 0 0 0 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -1 0 0 36 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 37 -1 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 Species# Species 1 Haplochromis johnstoni 2 Barbus choadesii 3 Hpalochromis dimidiatus 4 haplochromis rostratus 5 Haplochromis sp. 6 Rhamphochromis spp. 7 Engraulicypris sardella 8 various immature fishes 9 Lethrinops brevis 10 Tilapia saka-squamipinnis 11 synodontis zambesensis 12 Lethrinops 13 Alestes imberi 14 Microcyclops nyasae 15 Lethriops frucifer 16 Barbus eurystonmus 17 Haplochromis mola 18 Barilius microcephalus 19 Barbus johnstoni 20 Bactid nymphs 21 ostracods 22 Chironomid larvae 23 Caridina nolotica 24 Corbicula africana 25 Barbus innocens, Haplochromis similis, Haplochromis moori 26 Lanistes procerus 27 Malanoides tuberculata, other gastropods 28 Tilapia melanopleura 29 Tilapia shirana 30 Labeo mesops 31 terrestrial insects 32 Aufwuch on Vallisneria 33 Vallisneria 34 bottom detritus, algae 35 plankton 36 Haplochromis chrysonotus 37 Cyclopoid copepods