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Suggested Citation:"Index." National Research Council. 2002. Predicting Invasions of Nonindigenous Plants and Plant Pests. Washington, DC: The National Academies Press. doi: 10.17226/10259.
×

Index

A

Abiotic forces, general, 2, 5, 6, 12, 42, 52-54, 79, 83, 93, 105, 110, 149

see also Climate and weather; Ecosystem effects; Geographic factors; Spatial distribution

hydrology, 1, 7, 95, 98, 101, 103, 104

light, 70, 87-88, 103

Aesthetic values, 7, 14, 103, 105

see also Landscaping and gardening

Age distribution, 4-5, 44, 48

Agricultural Research Service, 126

Agriculture, 7, 14, 15, 38, 64, 94, 105, 108, 112, 133-134, 137, 145

committee study methodology, 2

cost of crop damage/control measures, 1, 2, 15, 95

forest interfaces, 101

pathogens, 25-26

trade liberalization, 17

Air transport, 29, 40

Alang alang, 104

Algae, 98, 99

Allee effects, 43, 47-48, 75, 84

Animal and Plant Health Inspection Service (APHIS)

committee recommendations, 10-11, 143-145

foreign trade controls, 15-17, 144-145

introductions, 15, 128-131, 132, 133-134, 144

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

quarantine measures, 23, 25, 33, 62, 91, 111

risk assessments, 8, 10-11, 13, 15-16, 127- 134, 143-145

Argentine ants, 46

Arid ecosystems, 6, 26, 32, 66, 83, 93, 103

Artemisia tridentata, 103

Arthropods, see Insects

Australia, 43, 55, 61, 91, 99, 101, 109, 112, 113, 116, 133, 134-137, 150

B

Beech bark disease, 106

Big sagebrush, 103

Biodiversity, 6-7, 59, 85-89, 94, 100, 102-103

see also Competition

Biological control, 9, 16, 20, 99, 108-109, 135, 141-143, 149

see also Natural enemies

Allee effects, 47

climate-matching, 114

establishment and, 41, 42, 47, 51, 63, 74

nontarget species, 16, 108-109

virulence, 99

Suggested Citation:"Index." National Research Council. 2002. Predicting Invasions of Nonindigenous Plants and Plant Pests. Washington, DC: The National Academies Press. doi: 10.17226/10259.
×

“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

Suggested Citation:"Index." National Research Council. 2002. Predicting Invasions of Nonindigenous Plants and Plant Pests. Washington, DC: The National Academies Press. doi: 10.17226/10259.
×

seeds, 23, 30, 31-32, 61, 69, 93-94, 97, 116, 123, 137, 144

wind, 6, 39, 85

Disturbance, 11, 38, 45, 54, 63, 68, 75, 85, 87, 90, 94, 98, 103, 105, 106, 123, 146- 147

see also Agriculture; Disasters

Dormancy, 5, 6, 53, 69, 70, 75, 76, 77, 122, 124

E

Economic factors, 1-2, 83

see also Agriculture; Foreign trade; Interstate commerce

China, 37, 38

climate-matching, 113-115

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

ecosystem goods and services, 104

gardening sector, 30-31

risk assessment models, 128, 129, 132, 137, 140

tourism sector, 29, 38

Ecosystem effects, 1, 2, 6, 7-8, 11, 15, 16, 18, 103-110, 146-147

see also Biodiversity; Biotic forces, general; Community structure; Disturbance; Forests

arid, 6, 26, 32, 66, 83, 93, 103

hydrology, 1, 7, 95, 98, 101, 103, 104

isolated habitats, 96;

see also Islands

nutrient cycling, 7, 26, 31, 87, 95, 98, 102, 103-104, 105, 107, 110

predictive systems evaluated, 115-116, 118, 139

Education and training, multidisciplinary approaches, 13, 150-151

Elton, Charles, 19

Endangered Species Act, 98

Enemies, see Natural enemies

Epidemiology

documentation and standardization, 11, 145

multidisciplinary approaches, 13, 150

Establishment, 2, 4-6, 9, 18, 21, 41-94, 145

see also Dispersal

biological control and, 41, 42, 47, 51, 63, 74

defined, 41

experiments, 51, 59-59, 86-87, 145

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

insects, 41, 46, 51, 55-64 (passim), 72-74, 76, 77, 79-80, 83

minimum viable population, 42, 43, 82

parasites, 42, 47, 54, 59, 60, 73

pathogens, 43, 53-54, 55, 58, 61-62, 70-72, 77, 81-82

predictive systems, 8, 10-11, 15-16, 17, 111, 122, 131, 138, 142, 144

taxonomy, 42, 52, 56, 60, 66, 76

temporal factors, 45, 68-69, 76, 81, 85, 93

Euphydryas butterfly, 100

Europe, 20, 22, 37-38, 39, 55, 87, 91, 112

gypsy moth, 1, 102, 104-105

insects, other, 24, 34, 53, 56-57, 58, 63-64, 73

rabbits from, biocontrols in Australia, 99

European larch canker, 53

Evolution, 7, 21, 74, 89-93, 98, 100, 105, 109, 110

hybridization, 7, 77, 89, 90-92, 98-99

Experiments and experimental data, 6, 112, 125, 149

establishment, 51, 59-59, 86-87, 145

field screening, 11, 125, 145

selection pressures, 7, 90, 92

Expert judgment, 8-9, 10, 11, 19, 113, 115-116, 117, 137, 138, 142, 146, 149

multidisciplinary approaches, 12-13, 150-151

study committee biographies, 181-185

Exports and imports, see Foreign trade; Travel and tourism

F

Federal government, 9, 13, 14, 28-29, 145-151

see also Legislation

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

see also Animal and Plant Health Inspection Service

Geological Survey, 146

National Invasive Species Council, 150

National parks, 7, 106

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

Fire ants, 46, 101

Fires, 7, 45, 75, 88-89, 95, 110

Fish and fisheries, 98, 103, 108

Florida, 101

Flowers and flowering, 6, 21, 68-69, 117

cape tulip, 116, 133, 136-137

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

Suggested Citation:"Index." National Research Council. 2002. Predicting Invasions of Nonindigenous Plants and Plant Pests. Washington, DC: The National Academies Press. doi: 10.17226/10259.
×

Foreign trade, 3, 8, 15-17, 19, 22, 24-25, 29-40

see also Introductions;

Ships and Shipping;

Travel and tourism;

specific countries

APHIS controls, 15-17, 144-145

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

Internet-based, 4, 31, 39

trade liberalization, 17

travel and tourism, 3, 15, 19, 25, 29, 38-39

World Trade Organization, 16-17

Forests, 6, 37, 53, 57-58, 63, 64, 87, 101, 102, 104, 105

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

gypsy moths, 1, 102, 104-105

pine trees, 66, 103

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

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

Fungi, 3, 20, 22, 55, 65, 100, 106, 148

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

rust, 19, 20, 53-54, 70

G

Gardening, see Landscaping and gardening;

Nurseries

Genetics, 4-7 (passim), 11, 45-46, 56-57, 71, 74-75, 77, 94, 98-100, 109-110, 145

see also Evolution;

Reproductive factors

Allee effects, 43, 47-48, 75, 84

host specificity, 5, 7, 12, 36, 71, 76, 80, 92, 129, 147-148

hybridization, 7, 77, 89, 90-92, 98-99

phenotypic plasticity, 5, 45, 75, 77, 89, 91, 116, 146

phylogeny and traits, 76, 77, 89, 91, 118- 119, 139, 146

predictive systems evaluated, 115-116, 117

sleeper species, 90

The Genetics of Colonizing Species, 116

Geographic factors, 5, 6, 9, 14, 18, 39, 49-50, 78, 96, 102

see also Dispersal; Spatial distribution

climate-matching, 113-115

committee study methodology, 17

formula to assess impact, 97

isolated habitats, 96;

see also Islands

latitude, 5, 20, 53, 58, 76

predictive systems evaluated, 112-115, 141- 142, 145, 146, 147-148

Geological Survey, 146

Grazers, 26, 54, 61

Greenhouse gases, 104, 110

Gypsy moths, 1, 83, 102, 104-105

H

Harmonia axyyridis, 108

Hawaii, 21, 103

Health, human, 137

Hesperis matronalis, 90

Homeria miniata, 116, 133, 136-137

Horticulture, see Landscaping and gardening

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

Host distribution, 5, 55-59, 76, 122, 128, 129, 131

Host specificity, 5, 7, 12, 36, 71, 76, 80, 92, 129, 147-148

Hybrids and hybridization, 7, 77, 89, 90-92, 98- 99

Hydrology, 1, 7, 95, 98, 101, 103, 104

Hypericum perforatum, 109

I

Imperata cylindrica, 104

Imports and exports, see Foreign trade; Travel and tourism

Insecticides, 79

APHIS border controls, 15-16

geographic factors, 9

historical perspectives, 3, 20, 21

suburban areas, 1

Insects, 4, 5, 14, 99-100, 101, 104, 108, 112

see also Pollen and pollination

committee study methodology, 2

establishment, 41, 46, 51, 55-64 (passim), 72-74, 76, 77, 79-80, 83

gypsy moths, 1, 83, 102, 104-105

introduction, 23-25, 27-28, 34, 39, 108-109, 122-124;

see also Natural enemies

life tables, 79

predator-prey relationship, 5, 61;

see also Natural enemies

reproductive factors, 72-73, 77, 122-123

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

Suggested Citation:"Index." National Research Council. 2002. Predicting Invasions of Nonindigenous Plants and Plant Pests. Washington, DC: The National Academies Press. doi: 10.17226/10259.
×

Interdisciplinary approaches, see Multidisciplinary approaches

International Plant Protection Convention, 17, 133, 141

Internet

intentional introduction of invasive species, 4, 31, 39

literature on natural history of species, 11, 146

Introductions, 2, 3, 8, 12, 19-40, 113, 119, 125, 138, 142

see also Biological control; Dispersal; Foreign trade; Natural enemies; Seeds; Travel and tourism

accidental, 3, 17-18, 20-26, 29-30, 39-40, 59

APHIS controls, 15, 128-131, 132, 133-134, 144

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

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

insects, 23-25, 27-28, 34, 39, 108-109, 122- 124;

see also Natural enemies

intentional, 4, 6, 11, 12, 16, 17-18, 20, 21- 22, 26-28, 30-32, 38

Internet as vehicle, 4, 31, 39

see also Landscaping and gardening; Travel and tourism

multiple, 4, 7, 50, 58, 61, 71, 91, 93, 95, 97, 104-106, 119, 148

pathogens, 25-26, 27-28, 39, 121-122

taxonomy, 34, 37

temporal factors, 8, 90, 93, 107, 124

Islands, 21, 86, 96

Australia, 43, 55, 61, 91, 99, 101, 109, 112, 113, 116, 133, 134-137, 150

Hawaii, 21, 103

New Guinea, 61

New Zealand, 87

J

Jadera haemotoloma, 100

Japan, 34-36

Journal of Ecology, 146

K

Karibaweed, 148

L

Lachnellula wilkommii, 53

Ladybird beetles, 101

Landscape, 52

see also Aesthetic values

Landscaping and gardening, 4, 30-31, 66, 101, 137, 145, 149

see also Nurseries

Lantana, 148

Leafhoppers, 85-86

Legislation

Endangered Species Act, 98

International Plant Protection Convention, 17, 133, 141

Plant Quarantine Act, 23, 25

Life-history traits, 8, 12, 42, 43, 66-74, 77, 80, 82, 89, 98, 109, 115-119, 122, 125- 126, 145, 147-148

see also Flowers and flowering; Fruit and fruiting; Reproductive factors

dormancy, 5, 6, 53, 69, 70, 75, 76, 77, 122, 124

light requirements, 70, 87-88, 103

seed production, 69, 137

Life tables, 79

Light requirements, 70, 87-88, 103

Linepithema humile, 46

Lythrum salicaria, 91

M

Madagascar, 104

Maine, 53

Marine invertebrates, 98

Massachusetts, 104

Mediterranean Basin, 113

Melaleuca, 103, 148

Mexico, 104, 108

Mimosa pigra, 43, 101

Minimum viable population, 42, 43, 82

Models, see Simulations and models

Moran effect, 48

Multidisciplinary approaches, 12-13, 150-151

Multiple introductions, 4, 7, 50, 58, 61, 71, 91, 93, 95, 97, 104-106, 119, 148

Mutualists, 5, 54, 65-66, 94

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

see also Dispersal

Myrica faya, 103

Myxoma virus, 99

Suggested Citation:"Index." National Research Council. 2002. Predicting Invasions of Nonindigenous Plants and Plant Pests. Washington, DC: The National Academies Press. doi: 10.17226/10259.
×

N

National parks, 7, 106

Natural disasters, see Disasters

Natural enemies, 5, 41, 54-55, 59-62, 64-65, 76, 79-80, 96, 107, 108-109, 122

see also Biological control

multiple introductions, 104

nontarget species, 16, 108-109

Naturalization, see Establishment

Nectria coccinea, 106

New Guinea, 61

New York State, 66

New Zealand, 87

Nurseries, 4

Nutrient cycling, 7, 26, 31, 87, 95, 98, 102, 103-104, 105, 107, 110

O

Opuntia aurantiaca, 90

Oryctolagus cuniculus, 99

P

Parasites and parasitoids, 1, 14, 33, 79-80, 86, 99, 105

establishment, 42, 47, 54, 59, 60, 73

Pathogens, 5, 6, 14, 100, 101, 104, 105, 126, 142-143, 147-148

see also Fungi; terms beginning “Host”

APHIS, 4, 144

biological control, 99

committee study methodology, 2

dispersal, 81-82

establishment, 43, 53-54, 55, 58, 61-62, 70- 72, 77, 81-82

geographic factors, 9, 96

historical perspectives, 3

hybridization, 99

introductions, 25-26, 27-28, 39, 121-122

natural enemies, 61-62

reproductive factors, 70, 77, 122-123, 147- 148

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

virulence, 5, 56, 61-62, 70, 71, 99

Pennisetum ciliare, 104

Persistence, see Establishment

Pesticides

see also Insecticides

regulatory issues, 109

Phytophthora ramorum, 55

PIN, see Port Information Network

Pine trees, 66, 103

Plantago lanceolata, 100

Plant Quarantine Act, 23, 25

Political factors, 132, 145-146

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

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

Predator-prey relationship, 5, 54, 61, 96, 105, 107

see also Natural enemies

isolated habitat, 96

models, 97, 126

Professional training, see Education and training

Public opinion, see Political factors

Puccinia graminis, 55

Purple loosestrife, 91

Q

Qualitative analysis, 8, 74, 77, 108, 127, 128- 135 (passim), 134-135, 136, 142

see also Expert judgment

Quarantine measures, 23, 25, 33, 62, 91, 111, 134

R

Regulatory issues, 8, 12, 13, 15, 21, 109, 127, 147

see also Animal and Plant Health Inspection Service; Standards and standardization

pesticides, 109

quarantine measures, 23, 25, 33, 62, 91, 111, 134

World Trade Organization, 16-17

Reproductive factors, 44-45, 74, 78, 112, 116, 137

see also Demographics; Genetics

Allee effects, 43, 47-48, 75, 84

insects, 72-73, 77, 122-123

minimum viable population, 42, 43, 82

pathogens, 70, 77, 122-123, 147-148

plants, 66-68, 77, 122-123;

see also Flowers and flowering; Fruit and fruiting; Pollen and pollination; Seeds

Suggested Citation:"Index." National Research Council. 2002. Predicting Invasions of Nonindigenous Plants and Plant Pests. Washington, DC: The National Academies Press. doi: 10.17226/10259.
×

Risk assessment, 8-9, 18, 126-138, 139-140, 147

see also Experiments and experimental data; Expert judgment; Qualitative analysis

APHIS, 8, 10-11, 13, 15-16, 127-134, 143- 145

defined, 127

economic factors, 128, 129, 132, 137, 140

introduction, 28-40

World Trade Organization, 16-17

Root systems, 3, 7, 24, 31, 34, 55, 62, 67, 85, 88, 98, 106

S

Saint John’s wort, 109

Salvina molesta, 148

Sampling, Port Information Network (PIN), 10, 143-144

Schinus terebinthifolius, 101

Seeds, 23, 30, 31-32, 93-94, 97, 116, 123, 144

see also Dispersal

natural enemies, 61

production phase, 69, 137

Ships and shipping, 24

containers, 3, 29-30, 40

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

Simulations and models, 97, 126-138, 139-140

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

community structure, 108

competition, 97

dispersal, 83-84

Singapore, 34-36

Sleeper species, 90

Soapberry bugs, 100

Soil composition, 7, 11, 22, 23, 25, 26, 31, 61, 62, 65, 88, 89, 103, 145

see also Root systems

Solenopsis invicta, 46, 101

South Africa, 113

Spartina alterniflora/anglica, 98

Spatial distribution, 4, 5, 6, 18, 42, 48-50, 62, 75, 78, 80, 83-84, 107, 109-110, 128

see also Dispersal; Geographic factors

host distribution, 5, 55-59

hybridization, 99

Standards and standardization, 10, 11-12, 13, 150

criteria for predictive systems, 8-9

International Plant Protection Convention, 17, 133, 141

State government, 9, 13

Australia, 133, 134-135

cost of control measures, 14

Statistical analysis, 9, 142-143

see also Simulations and models

St. John’s wort, 109

Stochastic forces, 4-5, 6, 9, 41, 42-52, 54, 74- 75, 113, 122, 124

Suburban areas, 1

T

Taxonomy, 5-8 (passim), 81, 86, 89, 93, 94, 107

establishment, 42, 52, 56, 60, 66, 76

expertise, 12-13, 150

introduction, 34, 37

predictive systems evaluated, 112, 116-121 (passim), 126, 139, 144, 147, 150

Temporal factors, 107, 109-110

disasters, 45

dispersal, 81

establishment, 45, 68-69, 76, 81, 85, 93

flowering and fruiting, 68-69

introduction to manifestation, 8, 90, 93, 107, 124

Tetroplum fuscum, 90

Texas, 101

Trade, see Foreign trade; Interstate commerce; Travel and tourism

Tragopogon laitfolia/mirus/miscellus, 91

Traits, 41, 82, 87-89, 99-100, 120, 139

life-history, 8, 12, 42, 43, 66-74, 77, 80, 82, 89, 109, 115-119, 122, 125-126, 145, 147-148

dormancy, 5, 6, 53, 69, 70, 75, 76, 77, 122, 124

light requirements, 70, 87-88, 103

seed production, 69, 137

phylogeny and, 76, 77, 89, 91, 118-119, 139, 146

Travel and tourism, 29, 38-39

APHIS controls, 15

historical perspectives, 3, 19, 25

Suggested Citation:"Index." National Research Council. 2002. Predicting Invasions of Nonindigenous Plants and Plant Pests. Washington, DC: The National Academies Press. doi: 10.17226/10259.
×

U

Urban areas, 1

V

Vascular plants, general, 6, 18-19, 32, 37, 56, 98, 102

Port Information Network, 10, 144

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

Virulence, 5, 56, 61-62, 70, 71

biological controls, 99

Visual quality, see Aesthetic values

W

Weather, see Climate and weather

West Virginia, 104-105

White pine blister rust, 53-54

Wind, 6, 39, 85, 93

Woody plants and products, 3, 8, 24, 34, 73, 130

see also Forests

World Trade Organization, 16-17

World Wide Web, see Internet

The World’s Worst Weeds, 112

Suggested Citation:"Index." National Research Council. 2002. Predicting Invasions of Nonindigenous Plants and Plant Pests. Washington, DC: The National Academies Press. doi: 10.17226/10259.
×
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Suggested Citation:"Index." National Research Council. 2002. Predicting Invasions of Nonindigenous Plants and Plant Pests. Washington, DC: The National Academies Press. doi: 10.17226/10259.
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Suggested Citation:"Index." National Research Council. 2002. Predicting Invasions of Nonindigenous Plants and Plant Pests. Washington, DC: The National Academies Press. doi: 10.17226/10259.
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Suggested Citation:"Index." National Research Council. 2002. Predicting Invasions of Nonindigenous Plants and Plant Pests. Washington, DC: The National Academies Press. doi: 10.17226/10259.
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Suggested Citation:"Index." National Research Council. 2002. Predicting Invasions of Nonindigenous Plants and Plant Pests. Washington, DC: The National Academies Press. doi: 10.17226/10259.
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Suggested Citation:"Index." National Research Council. 2002. Predicting Invasions of Nonindigenous Plants and Plant Pests. Washington, DC: The National Academies Press. doi: 10.17226/10259.
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Suggested Citation:"Index." National Research Council. 2002. Predicting Invasions of Nonindigenous Plants and Plant Pests. Washington, DC: The National Academies Press. doi: 10.17226/10259.
×
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Suggested Citation:"Index." National Research Council. 2002. Predicting Invasions of Nonindigenous Plants and Plant Pests. Washington, DC: The National Academies Press. doi: 10.17226/10259.
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Predicting Invasions of Nonindigenous Plants and Plant Pests Get This Book
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Nonindigenous plants and plant pests that find their way to the United States and become invasive can often cause problems. They cost more than $100 billion per year in crop and timber losses plus the expense of herbicides and pesticides. And this figure does not include the costs of invasions in less intensively managed ecosystems such as wetlands.

Nonindigenous Plants and Plant Pests examines this growing problem and offers recommendations for enhancing the science base in this field, improving our detection of potential invaders, and refining our ability to predict their impact.

The book analyzes the factors that shape an invader’s progress through four stages: arriving through one of many possible ports of entry, reaching a threshold of survival, thriving through proliferation and geographic spread, and ultimate impact on the organism’s new environment. The book also reviews approaches to predicting whether a species will become an invader as well as the more complex challenge of predicting and measuring its impact on the environment, a process involving value judgments and risk assessment.

This detailed analysis will be of interest to policymakers, plant scientists, agricultural producers, environmentalists, and public agencies concerned with invasive plant and plant pest species.

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