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Predicting Invasions of Nonindigenous Plants and Plant Pests (2002)
Board on Agriculture and Natural Resources (BANR)
Board on Life Sciences (BLS)

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. "Index." Predicting Invasions of Nonindigenous Plants and Plant Pests. Washington, DC: The National Academies Press, 2002.

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Predicting Invasions of Nonindigenous Plants and Plant Pests

“Biological Flora of the British Isles,” 146

“The Biology of Weeds,” 11, 146

Biotic forces, general, 2, 5-8, 11, 21, 54-66, 78- 94 (passim)

see also Biological control; Competition; Demographics; Genetics; Evolution; Natural enemies

host availability, 5, 7, 53, 54, 55-59, 76, 99, 102, 123, 128

host distribution, 5, 55-59, 122, 128, 129, 131

host specificity, 5, 7, 12, 36, 76, 80, 92, 129, 147-148

mutualists, 5, 54, 65-66, 94

vectors, 5, 20, 54, 62, 65-66, 76, 148

Birds, 6, 85

Brazil, 110

Brazilian pepper tree, 101

Bromus tectorum, 88-89, 102, 103, 107

Buffelgrass, 104

C

Cactoblastis cactorum, 108

California, 46, 113

Canada, 51, 53, 90, 114-115, 117, 136-137

Canadian Journal of Plant Science, 11, 146

Cape tulip, 116, 133, 136-137

Centaurea solstitialis, 102

Cheatgrass, 88-89, 102, 103, 107

Chestnut blight fungus, 1, 14, 61, 101, 102, 105-106, 110

Chile, 113

China, 4, 37-38, 34-36, 37-38, 39, 57-58

Climate and weather, 5, 21, 41, 52-53, 54, 75- 76, 112

disasters, 45, 75

greenhouse gases, 104, 110

latitude, 5, 20, 53, 58, 76

matching, 8, 113-115, 128, 129, 131, 134, 136, 138-139

wind, 6, 39, 85, 93

Coccinella septempunctata, 108

Community structure, 13, 48-50, 59, 93-94, 101-102, 106-109, 110, 147

biodiversity, 6-7, 59, 85-89, 94, 100, 102- 103;

see also Competition

Competition, 5, 6, 7, 16, 41, 62-66, 76, 86-89, 94, 96, 103, 126

exploitation, 62-63

individual effects, 98

interference, 62

isolated habitat, 96

models, 97

Compsilura concinnata, 108

Computer applications

see also Databases; Internet

climate simulations, 8, 113-115

Cordgrass, 98

Cost factors

damage by/control of invasive species, 1, 2, 15, 95

field studies, 125

Cronartium ribicola, 53-54

Crypohonectria parasitica, see Chestnut blight fungus

Cryptococcus fagisuga, 106, 148

D

Databases, 11, 12

see also Internet

Federal noxious weed and seed lists, 28, 144, 149-150

Port Information Network, 4, 10, 32-37, 39, 143-144

U.S. Geological Survey, 146

Demographics, general, 4, 12, 44, 52, 74, 75, 78-79, 82, 97-98, 122, 124, 149

see also Dispersal; Reproductive factors; Spatial distribution

age distribution, 4-5, 44, 48

extinction, 42, 44-45, 73-74, 84, 100, 149

founder populations, 41, 45, 50, 51, 53, 67, 72, 73-75 (passim), 89, 122, 149

individual effects, 98

minimum viable population, 42, 43, 82

Department of Agriculture, 2, 126, 143, 145- 151

see also Animal and Plant Health Inspection Service

Desert ecosystems, see Arid ecosystems

Disasters, 45, 75

Dispersal, 6, 12, 19, 21, 59, 80-85, 93-94, 97, 116, 123, 129, 131, 147-148

birds, 6, 39

fruit and fruiting, 6, 7, 68-69, 93-94, 97

genetic factors, 100

gradients, 81

models of, 83-84

pollen and pollination, 6, 7, 65, 66-68, 101, 105

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