Prediction of weed density: the increase of error with prediction interval, and the use of long‐term prediction for weed management-Reference-Cited by-同舟云学术

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Prediction of weed density: the increase of error with prediction interval, and the use of long‐term prediction for weed management

Published:1999-04 Issue:2 Volume:36 Page:307-316
ISSN:0021-8901
Container-title:Journal of Applied Ecology
language:en
Short-container-title:Journal of Applied Ecology

Author:

Wallinga J.¹,Grasman J.²,Groeneveld R. M. W.¹,Kropff M. J.¹³,Lotz L. A. P.¹

Affiliation:

1. AB‐DLO, PO Box 14, 6700 AA Wageningen, The Netherlands;

2. Wageningen Agricultural University, Department of Mathematics, Dreijenlaan 4, 6703 HA Wageningen, The Netherlands; and

3. Wageningen Agricultural University, Department of Theoretical Production Ecology, PO Box 430, 6700 AK Wageningen, The Netherlands

Publisher

Wiley

Subject

Ecology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1046/j.1365-2664.1999.00403.x

Reference15 articles.

1. Itinerary of a discontinuous map from the continued fraction expansion

2. Dynamics of Weed Populations

3. Modeling weed populations in cereals.;Cousens R.;Reviews of Weed Science,1987

4. A model of the economics of controlling Alopecurus myosuroides Huds. in winter wheat

5. r- and K-Selection in a Completely Chaotic Population Model

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1. Developing hierarchical density‐structured models to study the national‐scale dynamics of an arable weed;Ecological Monographs;2021-03-25

2. Management recommendations for short-lived weeds depend on model structure and explicit characterization of density dependence;Methods in Ecology and Evolution;2010-04-19

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