The Future of Scattered Trees in Agricultural Landscapes

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Standard

The Future of Scattered Trees in Agricultural Landscapes. / Gibbons, Philip G.; Lindenmayer, David; Fischer, Jörn et al.

in: Conservation Biology, Jahrgang 22, Nr. 5, 10.2008, S. 1309-1319.

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Harvard

Gibbons, PG, Lindenmayer, D, Fischer, J, Manning, AD, Weinberg, A, Seddon, J, Ryan, P & Barrett, G 2008, 'The Future of Scattered Trees in Agricultural Landscapes', Conservation Biology, Jg. 22, Nr. 5, S. 1309-1319. https://doi.org/10.1111/j.1523-1739.2008.00997.x

APA

Gibbons, P. G., Lindenmayer, D., Fischer, J., Manning, A. D., Weinberg, A., Seddon, J., Ryan, P., & Barrett, G. (2008). The Future of Scattered Trees in Agricultural Landscapes. Conservation Biology, 22(5), 1309-1319. https://doi.org/10.1111/j.1523-1739.2008.00997.x

Vancouver

Gibbons PG, Lindenmayer D, Fischer J, Manning AD, Weinberg A, Seddon J et al. The Future of Scattered Trees in Agricultural Landscapes. Conservation Biology. 2008 Okt;22(5):1309-1319. doi: 10.1111/j.1523-1739.2008.00997.x

Bibtex

@article{2ea2bae909864a908bd616f16af7aa38,
title = "The Future of Scattered Trees in Agricultural Landscapes",
abstract = "Mature trees scattered throughout agricultural landscapes are critical habitat for some biota and provide a range of ecosystem services. These trees are declining in intensively managed agricultural landscapes globally. We developed a simulation model to predict the rates at which these trees are declining, identified the key variables that can be manipulated to mitigate this decline, and compared alternative management proposals. We used the initial numbers of trees in the stand, the predicted ages of these trees, their rate of growth, the number of recruits established, the frequency of recruitment, and the rate of tree mortality to simulate the dynamics of scattered trees in agricultural landscapes. We applied this simulation model to case studies from Spain, United States, Australia, and Costa Rica. We predicted that mature trees would be lost from these landscapes in 90-180 years under current management. Existing management recommendations for these landscapes - which focus on increasing recruitment - would not reverse this trend. The loss of scattered mature trees was most sensitive to tree mortality, stand age, number of recruits, and frequency of recruitment. We predicted that perpetuating mature trees in agricultural landscapes at or above existing densities requires a strategy that keeps mortality among established trees below around 0.5% per year, recruits new trees at a rate that is higher than the number of existing trees, and recruits new trees at a frequency in years equivalent to around 15% of the maximum life expectancy of trees. Numbers of mature trees in landscapes represented by the case studies will decline before they increase, even if strategies of this type are implemented immediately. This decline will be greater if a management response is delayed.",
keywords = "Environmental planning, agricultural-landscape trees, management of scattered trees, paddock trees, recruitment, scattered-tree ecosystems, set-aside forest, tree decline, tree patches, Biology",
author = "Gibbons, {Philip G.} and David Lindenmayer and J{\"o}rn Fischer and Manning, {Adrian D.} and A. Weinberg and J. Seddon and P. Ryan and Geoff Barrett",
note = "Times Cited: 22",
year = "2008",
month = oct,
doi = "10.1111/j.1523-1739.2008.00997.x",
language = "English",
volume = "22",
pages = "1309--1319",
journal = "Conservation Biology",
issn = "0888-8892",
publisher = "John Wiley & Sons Ltd.",
number = "5",

}

RIS

TY - JOUR

T1 - The Future of Scattered Trees in Agricultural Landscapes

AU - Gibbons, Philip G.

AU - Lindenmayer, David

AU - Fischer, Jörn

AU - Manning, Adrian D.

AU - Weinberg, A.

AU - Seddon, J.

AU - Ryan, P.

AU - Barrett, Geoff

N1 - Times Cited: 22

PY - 2008/10

Y1 - 2008/10

N2 - Mature trees scattered throughout agricultural landscapes are critical habitat for some biota and provide a range of ecosystem services. These trees are declining in intensively managed agricultural landscapes globally. We developed a simulation model to predict the rates at which these trees are declining, identified the key variables that can be manipulated to mitigate this decline, and compared alternative management proposals. We used the initial numbers of trees in the stand, the predicted ages of these trees, their rate of growth, the number of recruits established, the frequency of recruitment, and the rate of tree mortality to simulate the dynamics of scattered trees in agricultural landscapes. We applied this simulation model to case studies from Spain, United States, Australia, and Costa Rica. We predicted that mature trees would be lost from these landscapes in 90-180 years under current management. Existing management recommendations for these landscapes - which focus on increasing recruitment - would not reverse this trend. The loss of scattered mature trees was most sensitive to tree mortality, stand age, number of recruits, and frequency of recruitment. We predicted that perpetuating mature trees in agricultural landscapes at or above existing densities requires a strategy that keeps mortality among established trees below around 0.5% per year, recruits new trees at a rate that is higher than the number of existing trees, and recruits new trees at a frequency in years equivalent to around 15% of the maximum life expectancy of trees. Numbers of mature trees in landscapes represented by the case studies will decline before they increase, even if strategies of this type are implemented immediately. This decline will be greater if a management response is delayed.

AB - Mature trees scattered throughout agricultural landscapes are critical habitat for some biota and provide a range of ecosystem services. These trees are declining in intensively managed agricultural landscapes globally. We developed a simulation model to predict the rates at which these trees are declining, identified the key variables that can be manipulated to mitigate this decline, and compared alternative management proposals. We used the initial numbers of trees in the stand, the predicted ages of these trees, their rate of growth, the number of recruits established, the frequency of recruitment, and the rate of tree mortality to simulate the dynamics of scattered trees in agricultural landscapes. We applied this simulation model to case studies from Spain, United States, Australia, and Costa Rica. We predicted that mature trees would be lost from these landscapes in 90-180 years under current management. Existing management recommendations for these landscapes - which focus on increasing recruitment - would not reverse this trend. The loss of scattered mature trees was most sensitive to tree mortality, stand age, number of recruits, and frequency of recruitment. We predicted that perpetuating mature trees in agricultural landscapes at or above existing densities requires a strategy that keeps mortality among established trees below around 0.5% per year, recruits new trees at a rate that is higher than the number of existing trees, and recruits new trees at a frequency in years equivalent to around 15% of the maximum life expectancy of trees. Numbers of mature trees in landscapes represented by the case studies will decline before they increase, even if strategies of this type are implemented immediately. This decline will be greater if a management response is delayed.

KW - Environmental planning

KW - agricultural-landscape trees

KW - management of scattered trees

KW - paddock trees

KW - recruitment

KW - scattered-tree ecosystems

KW - set-aside forest

KW - tree decline

KW - tree patches

KW - Biology

UR - http://www.scopus.com/inward/record.url?scp=52649104353&partnerID=8YFLogxK

U2 - 10.1111/j.1523-1739.2008.00997.x

DO - 10.1111/j.1523-1739.2008.00997.x

M3 - Journal articles

VL - 22

SP - 1309

EP - 1319

JO - Conservation Biology

JF - Conservation Biology

SN - 0888-8892

IS - 5

ER -

DOI